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AI & Machine Learning News. 04, March 2019

This Person Does Not Exist

CloudQuant Thoughts… We have covered the Nvidia GAN that generates random imaginary celebrities many times in the past. This new website “This Person Does Not Exist” helped to propel this new technology into the public’s view this week. It is a neat site that generates a new random person every time you visit, in fact, this image link is linked to their page so if you refresh our blog post you will get another imaginary person (Caution, it can make some pretty horrid looking mistakes!). Research like this helps to ram home the huge strides that ML has made in the last 12 months. We now have researchers at CloudQuant.com using ML to help make decisions in real time trading systems. If you are interested in generating your own unique faces check out this StyleGAN on Github. I considered linking to This Cat Is Not Real as well but it needs a little more training as it can produce some pretty horrific results!  

Podcast Money Matters Top Tips with Adam Torres – John “Morgan” Slade CEO/CIO of Cloudquant

 

Wolf Wolf!! Recession is coming – but can AI help?

How can we get intelligent with the data around us and spot recessions? An analysis of Consumer data should provide us with a view on consumer behaviour, and almost predict where inflation would be heading. One of the firms I recently met, used open banking to collect consumers data, enrich it, and help them manage their finances. But the intelligence they gather from millions of transaction level data are used by their institutional clients to understand customer sentiments towards a brand. Those insights combined with macro economic data should give these institutions the intelligence to choose their investments. The applications of open banking have largely been focused around selling services to customers in a personalized fashion. However, open banking data should help us understand where the economy is heading too. 2019-03-01 00:00:00 Read the full story. Interest Score: 1.4555, Positive Sentiment: 0.0820, Negative Sentiment 0.4715 CloudQuant Thoughts… This one statement “The intelligence they gather from millions of transaction level data are used by their institutional clients to understand customer sentiment towards a brand”. This is truly using alternative data to make trading decisions. Lets say you had all the Visa transactions for a large bank for a year. You can see if the flow of money into GAP is increasing or decreasing allowing you to make a play on their earnings announcement with significantly more confidence than anyone else. Even without access to this kind of data you can still make smart trading decisions using freely available data. Consider the GAP/OLD NAVY breakup : Which company is likely to perform better? Well you can do a Google Trends comparison, they will not give you the actual search data but you can compare one company with another…    

Microsoft’s Wildbook AI Initiative

Wildbook blends structured wildlife research with artificial intelligence, citizen science, and computer vision to speed population analysis and develop new insights to help fight extinction. According to a July 2017 study in the Proceedings of the National Academy of Sciences, a “sixth mass extinction” is underway, a trend signalled by widespread vertebrate losses that “will have negative cascading consequences on ecosystem functioning and services vital to sustaining civilization.” This meta-study is based on multiple, independent analyses and represents a growing awareness in the wildlife research community that more rapid assessment, response, and review are needed to understand and counter this decline. Wildbook evolved out of multi-disciplinary, collaborative research conducted under National Science Foundation support (see ibeis.org). Wildbook employees computer vision and A.I. components to detect features in submitted images and detect and then identify individual animals. Wildbook brings massive-scale computer vision to wildlife research for the first time. CloudQuant Thoughts… It is always wonderful to see how ML and AI can step in to solve a seemingly intractable problem. In this case Microsoft, as part of their AI for Earth project, are using all kinds of photographs, both personal and professional, together with their geo-location data to identify individual creatures and their movements. Using AI to identify a specific Giraffe from its spots automatically or a Killer Whale from its Dorsal Fin is incredibly impressive!  
 

Top 5 Data Science GitHub Repositories and Reddit Discussions

  February Top GitHub Discussions
  • StyleGAN – Generating Life-Like Human Faces
  • OpenAI’s Ground-Breaking Language Model – GPT-2
  • SC-FEGAN : Face Editing Generative Adversarial Network with User’s Sketch and Color
  • LazyNLP for Creating Massive Text Datasets
  • Subsync – Automating Subtitles Synchronization with the Video
  • BONUS: Flickr-Faces-HQ Dataset (FFHQ)
February Top Reddit Discussions
  • Are you Expected to Solve Hard Coding Challenges to work in the Machine Learning Industry?
  • Key Points Every Student (Graduate or Post-Graduate) Should Keep in Mind While Pursuing Machine Learning
  • The Significance of p=0.05
  • A List of Very Useful but Lesser-Known Python Libraries
  • A list of Lesser-Known R Packages
2019-03-04 04:04:07+00:00 Read the full story. Interest Score: 1.1369, Positive Sentiment: 0.1251, Negative Sentiment 0.1478  

‘Investing on Steroids’ Pays Off as Thematic ETFs Trounce Market

For returns more than triple the stock market average so far this year, look no further than a quirky group of exchange-traded funds that bet on the latest investment fads. The top three performing U.S.-listed, non-leveraged ETFs this year are so-called thematic funds — or niche products that focus on categories. From marijuana, to solar power and clean energy, portfolios constructed with companies betting on industrial and social transformations are trouncing rivals across the broader equity market. While it’s only the end of February, their performance has been astounding. The ETFMG Alternative Harvest ETF, ticker MJ, which wagers on the growth of cannabis, has surged nearly 50 percent. A fund that focuses on solar power, the Invesco Solar ETF, TAN, and the Invesco Wilderhill Clean Energy ETF, PBW, which holds companies across the new-energy spectrum, have both gained more than 30 percent. 2019-02-28 11:40:25-05:00 Read the full story. Interest Score: 1.4960, Positive Sentiment: 0.1662, Negative Sentiment 0.0997  

Rob Arnott: Factor Investing Is ‘Overhyped’

Sometimes corporate marketing can seriously wear out the potential golden-egg-laying goose. Take factor investing. It’s “overhyped,” “oversold” and marketed as “a panacea.” So says Robert Arnott, chair and founder of Research Affiliates, who, in an interview with ThinkAdvisor, explains reasons for factor investing’s bad performance last year. Why did factor investing perform poorly last year? : One reason [lies] in construction and implementation. How many of the academics who designed factors have actually traded stocks for a living and know the potential ugliness of careless trading? That’s a key part of the issue. 2019-02-26 00:00:00 Read the full story. Interest Score: 1.5907, Positive Sentiment: 0.1512, Negative Sentiment 0.3095  

Is The AI Boom Over For North Korea?

North Korea’s tryst with AI started as early as the ’90s through its state-run software research institute Korea Computer Centre and was touted to be the next leader in the realm, states a 2018 study that monitored the evolution of the technology in the Asia Pacific. In fact, much before Google DeepMind’s famed AlphaGo came into the picture, the North Korean Computer Centre centre developed an AI programme in 1997, called Eunbyul, which went on to become the champion for international computerised Go competitions for six times. “The core technology underpinning Eunbyul is, in fact, no different from that of AlphaGo. Both operate on the Monte Carlo tree search method, a heuristic search algorithm which decides the most promising move based on knowledge previously learned via machine learning,” the study states. 2019-02-27 11:35:39+00:00 Read the full story. Interest Score: 1.2387, Positive Sentiment: 0.1906, Negative Sentiment 0.2382  

The future of fast food? Drive-through uses AI voice assistant to take orders

Students hunting for a summer job in the future might be out of luck now that artificial intelligence has taken up a role at a fast-food restaurant. Denver’s Good Times Burgers and Frozen Custard in Colorado, brought in the technology to take drive-through customer orders. The burger bar bot greets customers as they pull up, responds to voices to take an order, and sends them to collect their items from a human colleague further down the line. For now, the bot is only taking breakfast orders in one restaurant but the start-up behind the technology, Valyant AI, hopes it will soon become a trend worldwide. It claims the tool will benefit employees by eliminating “the drudgery of taking 400 customer orders over the course of a shift”. Businesses automating the ordering process will enjoy “increased order sizes” and reduced fraud, it says. Good Times Burgers boss Scott Lefever said that the artificial intelligence served as a useful backup. The restaurants are usually staffed with three workers for breakfast shifts. If the weather is bad or an employee doesn’t show up, the new tool “can truly save the morning,” he claimed. 2019-02-27 00:00:00 Read the full story. Interest Score: 0.7616, Positive Sentiment: 0.3046, Negative Sentiment 0.2285  

Citizen Engagement: How AI is Helping New York City Dept. of Social Services

The New York City Department of Social Services (DSS) has a staff of around 18,000 and offers public assistance and employment services to over three million citizens. In one of their initiatives, called the Supplemental Nutrition Assistance Program (SNAP), employees of the government agency needed to process around 70,000 SNAP applications per month. Citizens wishing to avail the DSS services were largely walking into the government’s brick and mortar service centers to submit their SNAP applications. IBM and DSS engaged in a private-public partnership to develop the portal. The IBM Watson Health Government team was tasked with finding a scalable solution to maximize outreach to the customer base. IBM was allowed to access data from PC banks at 15 of DSS’ physical service centers. This allowed IBM to access user feedback that illuminated trends in what people wished to see from the program. According to Lauren Aaronson, Assistant Deputy Commissioner for the Office of Business Process Innovation at DSS, after the project with IBM, over 75% of SNAP applications were submitted online, and foot traffic in the physical service centers was reduced by 30%. 2019-03-01 15:00:26+00:00 Read the full story. Interest Score: 1.0985, Positive Sentiment: 0.1465, Negative Sentiment 0.0366  

Ser-Nam Lim Describes Mission of Facebook Computer Vision Team in Talk at 2018 AI World

Ser-Nam Lim has an interesting job at Facebook. His title is Research Manager, Facebook Machine Learning. He’s on the computer vision team, which is broadly focused on achieving human-level understanding of images and videos, and his focus is on helping keep malicious video content off Facebook. He certainly has the background for it, having earned a PhD in computer vision from the University of Maryland, and having worked at a range of companies including nine years at GE Global Research before moving to Facebook in April 2018. 2019-03-01 15:45:00+00:00 Read the full story. Interest Score: 1.1453, Positive Sentiment: 0.1909, Negative Sentiment 0.3221  

The California Digital Dividend Plan: Can Data Monetization Revenue Sharing Work?

A strong global trend in data handling regulation is taking shape, typified by the EU’s General Data Protection Regulation (GDPR). While many countries outside of the EU are just beginning their serious conversations about their new laws (including the United States), some states and localities are forging ahead on their own. One of the main trailblazers is California. The state is not only set to implement a “GDPR lite” bill in 2020, but also now has a proposal on the table to force big tech companies to create a digital dividend fund to share revenue from any personal data monetization. 2019-03-03 11:00:00+00:00 Read the full story. Interest Score: 1.4193, Positive Sentiment: 0.1461, Negative Sentiment 0.3340  

Radical Change Is Coming To Data Science Jobs

A calculator was once a person. Webmaster was once a hot career. Mid-level managers once had secretaries. In each case, advancements in hardware and software took specialized skills and put them into the hands of generalists. While specialist jobs were lost, the democratization of these technologies unleashed waves of innovation, commerce and job creation. Similarly, I believe the job of data scientist as we know it today will be barely recogni… 2019-03-01 00:00:00 Read the full story. Interest Score: 1.8850, Positive Sentiment: 0.1391, Negative Sentiment 0.0618  

From First to Third, and Alternative Too: A Guide to Data Types

One way to create a competitive edge in your business is to use the latest and greatest analytic techniques. Stream processing, deep learning, and graph analytics all fall into that category. But another way to drive competitive differentiation is by incorporating different types of data – ranging from first-party data to alternative data — into your analytic recipes. 2019-02-26 00:00:00 Read the full story. Interest Score: 1.9811, Positive Sentiment: 0.2358, Negative Sentiment 0.0472

Automating AI in the Data-Driven Enterprise Webinar

Artificial intelligence (AI) and machine learning (ML) are exciting, growing in adoption and more applicable to business contexts than ever before. The problem is, a lot of AI/ML work to date has relied upon rare and expensive data scientists. These practitioners take data sets, then experiment with different frameworks, algorithms and parameter values to create the best predictive models possible. This bespoke approach can be fascinating, but it… 2019-03-07 12:00:13-06:00 Read the full story. Interest Score: 2.7602, Positive Sentiment: 0.2875, Negative Sentiment 0.1150

What’s the Best Programming Language for Data Science?

If you want to break into data science, which programming languages should you learn? That’s a complicated question. New data from Cloud Academy suggests that Python is an increasingly ubiquitous programming language in the context of data science, outpacing R, which many data scientists have utilized for projects. Specifically, Cloud Academy analyzed job postings for data engineers and found that 66 percent mentioned Python, while … 2019-03-01 00:00:00 Read the full story. Interest Score: 2.5878, Positive Sentiment: 0.1848, Negative Sentiment 0.2773

TRADING UP: Goldman Nabs Zdorovstov; Upadhyay to Citadel

Goldman Sachs recently hired Vladimir Zdorovtsov, a former director of quantitative equity research at State Street Global Advisors, to join its investment management division in New York. He has had a career of more than 17 years as quantitative and fundamental equity analyst, senior economist, and stat arb trader on both the sell and buy-side. Most recently, Zdorovtsov was employed for 10 months at Rosetta Analytics, a software firm that builds… 2019-02-25 15:43:26+00:00 Read the full story. Interest Score: 2.2915, Positive Sentiment: 0.1146, Negative Sentiment 0.0229

Leveraging BI and Big Data in Modern Business

Companies today are collecting data at an unprecedented rate, but how much of the collected data actually makes an impact on their business? According to ODPi, by 2020, the accumulated volume of Big Data will increase from 4.4 zettabytes to roughly 44 zettabytes or 44 trillion GB. It’s a tall order for companies to translate this data into ROI, and many businesses still don’t know how to combine Business Intelligence (BI) with Big Data to get insightful business value. Cupid Chan, CTO of Index Analytics and ODPi lead for the BI & AI Special Interest Group (SIG), tells his clients, “It doesn’t m… 2019-02-28 14:33:25+00:00 Read the full story. Interest Score: 2.2418, Positive Sentiment: 0.3203, Negative Sentiment 0.0801

Front-Office Innovation Remains Challenging

Daniel Andemeskel, head of innovation management & strategic initiatives at AXA Investment Managers, said introducing technical innovation has been hardest in the front office where the firm wants to accelerate investment decisions and optimise alpha. Andemeskel gave a presentation today at The Summit for Asset Management in London. AXA IM launched an innovation strategy four to five years ago. He said: “When I started the job I was inspired by… 2019-02-28 16:31:12+00:00 Read the full story. Interest Score: 2.1961, Positive Sentiment: 0.3786, Negative Sentiment 0.1136

Preserving Memory in Stationary Time Series – Towards Data Science

In general, we understand a given time series as a sample generated by a stochastic process whose distribution and statistics we try to infer for a predictive model. Building predictive models of stochastic processes is about finding a balance between specificity and generalisability of the samples: the model interprets a given series against the backdrop of general patterns. More specific than a general predictive regression, a time series com… 2019-02-27 11:02:31.812000+00:00 Read the full story. Interest Score: 2.1889, Positive Sentiment: 0.0000, Negative Sentiment 0.1382

Io-Tahoe Files Patent Applications for its Data Discovery Platforms

Io-Tahoe, a provider of smart data discovery and AI-driven data catalog products, is filing three new patents with the United States Patent and Trademark Office to continue to transform the data discovery space. The patent filings cover the generation of data signatures that accurately describe data in a human friendly form using advanced NLP (Natural Language Processing) techniques. “Across all industries, we see the convergence of, smart and … 2019-02-28 00:00:00 Read the full story. Interest Score: 2.0741, Positive Sentiment: 0.4854, Negative Sentiment 0.1324

What is the difference between Deep Learning & Reinforcement Learning?

The world is changing, and that change is inevitable. The technological wave sweeping across the globe speaks to the possibilities in fields once considered unrealistic. There’s a strong artificial intelligence presence in the world as companies are embracing the use of AI for the automation of their systems to create efficiency. Artificial Intelligence is a rather broad field; machine learning is just a small portion of it. Under machine learning we have :
  • Deep learning algorithms
  • Reinforcement learning algorithms
Several books about artificial intelligence are being published on an annual basis and which help provide a clear view of what the field is all about. In fact, today it’s become easy to find a deep learning platform assisting individuals to better their knowledge of these concepts. This article focuses on the two algorithms deep and reinforcement learning, what they are and their differences. 2019-03-01 09:26:56+00:00 Read the full story. Interest Score: 1.8827, Positive Sentiment: 0.3306, Negative Sentiment 0.1437

Asset managers must move away from legacy back office systems

Asset management firms need to look at “the sins of the past” when aiming to create new operating models and break down siloed technology in the back office, said Jo Parkhill, CASS consultant at Cashfac, on a panel at the Summit for Asset Management (TSAM) in London this week. “The default position has been to outsource back office technology functions to third-party providers. Historically, legacy systems have been bastardised again and again u… 2019-02-28 00:00:00 Read the full story. Interest Score: 1.8479, Positive Sentiment: 0.0859, Negative Sentiment 0.4297

Improving Risk Evaluation Through Advanced Analytics

The data we generate and copy annually doubles in size every two years, and IDC says it will reach 44 trillion gigabytes by 2020. That creates significant new opportunity for business. Indeed, as The Economist has noted, data has become more valuable than oil. In the case of data, there’s a lot of it to wrangle from many sources. Ensuring you have the right data, that it’s fresh and that you’re using it to yield accurate results is challenging. … 2019-03-01 00:00:00 Read the full story. Interest Score: 1.7707, Positive Sentiment: 0.2951, Negative Sentiment 0.3092

The Cloud Doesn’t Eliminate The Need For Data Recovery Software

rising ways. According to some estimates, the market is expected to rise to $411 billion by the end of next year. The rapid growth can largely be attributed to advances in artificial intelligence and big data. However, despite some of the fascinating advances, there are still some obstacles and limitations. Contrary to popular belief, cloud computing has not eliminated the need for traditional data recovery solutions. What are some of the reasons that cloud technology can’t replace traditional data recovery solutions? Many technology pundits have overstated the benefits of cloud technology. They hav… 2019-03-01 18:00:06+00:00 Read the full story. Interest Score: 1.6608, Positive Sentiment: 0.4207, Negative Sentiment 0.7972

Big Data Integration 101: The What, Why, and How

Big Data Integration is an important and essential step in any Big Data project. There are, however, several issues to take into consideration. Generally speaking, Big Data Integration combines data originating from a variety of different sources and software formats, and then provides users with a translated and unified view of the accumulated data. Managing “integrated” Big Data assures more confidence… 2019-02-27 08:35:24+00:00 Read the full story. Interest Score: 1.6234, Positive Sentiment: 0.2275, Negative Sentiment 0.2482  

Nuts and Bolts: Process Automation and Digital Banking Experiences

Like nuts and bolts, automated processes and decision making must be “part and parcel” to securing and delivering frictionless digital customer experiences in the banking delivery model of today (and tomorrow). Keys to accomplishing this include instituting Robotic Process Automation (RPA) upon legacy solutions/processes, as well as leveraging data via real-time API-driven capabilities within new digital solutions/processes. With the potential of… 2019-02-28 10:53:05 Read the full story. Interest Score: 1.5793, Positive Sentiment: 0.5062, Negative Sentiment 0.2430

The importance of data management for fixed income attribution

The importance of performance attribution in fixed income investing cannot be overstated. Portfolio managers use it in both support and defense of their investment strategies. It is integral for sales and marketing teams when it comes to asset gathering and client retention. Clients also rely heavily on it to determine how effectively their investment managers are enacting their given mandates. That is why it’s crucial for fixed income managers… 2019-02-26 00:00:00 Read the full story. Interest Score: 1.5648, Positive Sentiment: 0.2200, Negative Sentiment 0.4401

Data Growth Rate in U.S. Predicted to Slow

While data continues to pile up in unprecedented volumes, the rate of data generation in the U.S. relative to the rest of the world is predicted to slow in the coming years, according to a new report issued by IDC. The amount of data generated in the entire world will grow from 33 zettabytes in 2018 to 175 zettabytes by 2025, according to the most recent Global Datasphere report that IDC and Seagate put together every year. That puts the compoun… 2019-02-25 00:00:00 Read the full story. Interest Score: 1.5621, Positive Sentiment: 0.1096, Negative Sentiment 0.2192

Domo Announces the Domo Integration Cloud

According to a new press release, “Domo, provider of the leading cloud-based operating system for business, today announced the new Domo® Integration Cloud, a new iPaaS solution that simplifies and securely manages the implementation and management of an organization’s entire data ecosystem. The Integration Cloud leverages the power of Domo’s back-end data integration and management features and bundles them with new tools, making them available … 2019-03-01 08:15:03+00:00 Read the full story. Interest Score: 1.5576, Positive Sentiment: 0.1558, Negative Sentiment 0.0519

Probabilistic Graphical Models: Bayesian Networks – Towards Data Science

In this article, I will be giving a detailed overview of Bayesian Networks which forms a class of Directed Graphical Models (DGM). I will be covering the recapitulation of Probability which forms the basis of this approach. A wide variety of tasks in the real world requires a person to reason: to take available information and take a decision or conclusion about a certain problem. For example, we need to decide on the restaurant we want to go for dinner. What can be the possible features to decide on? The venue, cuisine, distance from home, pricing etc. In general, we can write a custom program to answer our query (a nested if-else), but that will not be robust. If it encounters an additional feature, we might have to re-write the model, which certainly seems a less feasible solution. To overcome the aforementioned complication, we will use a different approach: Declarative Representation. In this paradigm, we construct a model based on the task which would like to reason. Model encodes the knowledge of how the system works. Key features of this methodology are to separate knowledge and reasoning. Decision-making in real-world applications come with a level of uncertainty which corresponds to an uncertainty in the model building. That’s where the Probability comes in. The math of probability theory provides us with a framework for considering multiple outcomes and their likelihood. 2019-03-03 15:06:17.388000+00:00 Read the full story. Interest Score: 1.5545, Positive Sentiment: 0.0268, Negative Sentiment 0.0536

7 Key Considerations: Data Flows for Machine Learning Projects

The flexibility, agility and ultimate cost of machine learning projects can be significantly impacted by data logistics and dependencies, according to Jim Scott, VP, Enterprise Architecture, at MapR. By improving how they pursue machine learning, Scott contends, organizations can attain benefits in both long-term costs and maintenance. Recently, Scott discussed common issues he sees in working with data scientists and ways to improve processes for implement… 2019-03-01 00:00:00 Read the full story. Interest Score: 1.5448, Positive Sentiment: 0.3008, Negative Sentiment 0.1914

Real-Time Fraud Prevention: TAS Group acquires Mantica, a smart factory specialized in Machine Learning

– TAS Group announces the acquisition of 80% of the US company Mantica Inc., controlling the entire capital of Mantica Italia, a company specializing in the development of Artificial Intelligence and Machine Learning models to solve real world problems in multiple industries, including banking and fintech. The acquisition follows a partnership agreement signed in July 2018 between the two companies with the aim of combining Mantica’s expertise excellence and its proprietary platform “Adaptive Intelligence” with the advanced technology of TAS Group’s Fraud Protect solution to create an innovative and flexible… 2019-03-04 00:00:00 Read the full story. Interest Score: 1.5335, Positive Sentiment: 0.2236, Negative Sentiment 0.4153

Why Ignoring Big Data is a Big Mistake

Click to learn more about author Zachary Jarvinen. Big Data is a big deal. We currently live in an age where information is everywhere, and data is exponentially growing at a rapid pace. This data has the potential to enable machine-assisted decision making, automation and business optimization, essentially setting the groundwork for digital transformation. Yet 60% of global data and analytics decision makers say their company is sitting on 100 terabytes… 2019-03-01 08:35:58+00:00 Read the full story. Interest Score: 1.4965, Positive Sentiment: 0.2050, Negative Sentiment 0.2050  

Fenergo Accelerates Expansion into Commercial and Retail Banking

Appoints James Follette to implement growth strategy 26 February 2019 – Fenergo, the leading provider of digital Client Lifecycle Management solutions (CLM) for financial institutions, has announced the appointment of James Follette as the Global Head of Commercial and Retail Banking. Formerly responsible for client onboarding and know your customer (KYC) transformation at Citi, James will drive growth and deliver on Fenergo’s strategic objectiv… 2019-02-26 00:00:00 Read the full story. Interest Score: 1.4790, Positive Sentiment: 0.4437, Negative Sentiment 0.1268  

Early Experience with Adaptive AI Hardware Shows Current Limitations

By Lars Wood with Juan Miguel de Joya The Fourth Industrial Revolution, first coined by Klaus Schwab in his 2015 article in Foreign Affairs, represents the revolutionary shift in how we as a society integrate technology into our day-to-day. We are seeing emerging technology breakthroughs in robotics, autonomous vehicles, energy storage, material sciences, and nanotechnology among other fields, transforming existing processes and generating dialo… 2019-03-01 15:10:03+00:00 Read the full story. Interest Score: 1.4160, Positive Sentiment: 0.1716, Negative Sentiment 0.3433

DoD Plans to Use AI to Reduce Inefficiencies from Manual, Laborious, Data-centric Tasks

A new DoD plan for incorporating artificial intelligence into its operations that anticipates that it will have a significant impact on its civilian workforce, along with its military and contractor personnel. The strategy document mirrors projections of the potential impact on workers contained in other administration plans including the President’s Management Agenda. None of those documents project a potential number of jobs lost but each concludes … 2019-03-01 15:30:58+00:00 Read the full story. Interest Score: 1.4132, Positive Sentiment: 0.2261, Negative Sentiment 0.2826

The Data Science Fundamentals Every Marketer Needs to Know

Data science is nothing new. But it’s evolving in the world of business. It’s estimated that by 2026 there will be 11.5 million jobs in the data science industry. Why is this the case? The simple fact is that businesses are beginning to take notice of how it can help them to make the most of their advertising dollars. Let’s look at the fundamentals every marketer must understand. Why is Data Science Relevant to Marketing? This is the first fundamental concept you need to understand. Data science in marketing is about taking raw data and translating it into raw insights. There are thousands of different statistics a business can generate, and most of them will turn out to be irrelevant alone. It’s the job of the data scientist to take these thousands of stats and translate them into usable insights that a marketing department can begin to implement. 2019-03-01 16:56:06+00:00 Read the full story. Interest Score: 1.3896, Positive Sentiment: 0.3270, Negative Sentiment 0.0000

Can On-Prem S3 Compete with HDFS for Analytic Workloads?

In the battle for big data storage supremacy, Hadoop is still in the running. It may no longer be the 800-lb gorilla, but the demonstrated scalability of the Hadoop Distributed File System (HDFS) makes it a potent contender, especially for storing petabytes on-prem. Now a new class of S3-compatible object storage systems threaten HDFS’s on-prem supremacy, but can they compute like Hadoop? 2019-02-27 00:00:00 Read the full story. Interest Score: 1.3796, Positive Sentiment: 0.1632, Negative Sentiment 0.1187

AI Creates The CRISPR For Corporate DNA

Every company has a specific DNA. You may think DNA is the brand or values. But corporate DNA is what makes a company tick, not what the company is. Talent, operations, technology, and data make up your base pairs. How those combine will have a specific outcome for the business, and even the overall sequence and pattern has consequences, turning the business knobs. For example, we could look at three sample combinations: Task excellence: (Talent… 2019-03-01 15:11:21-05:00 Read the full story. Interest Score: 1.3764, Positive Sentiment: 0.2693, Negative Sentiment 0.3890

Understand how your TensorFlow Model is Making Predictions

Understand how your TensorFlow Model is Making Predictions Exploring student loan data with SHAP Karl Weinmeister Blocked Unblock Follow Following Feb 25 Introduction Machine learning can answer questions more quickly and accurately than ever before. As machine learning is used in more mission-critical applications, it is increasingly important to understand how these predictions are derived. In this blog post, we’ll build a neural network model using the Keras API from TensorFlow, an open-source machine learning framework. One our model is trained, we’ll integrate it with SH… 2019-02-25 20:57:12.433000+00:00 Read the full story. Interest Score: 1.3704, Positive Sentiment: 0.0676, Negative Sentiment 0.0869

ML Patent Apps Still Soaring

Intellectual property continues to be the coin of the realm for technology companies, and in few data-driven industries is this truer than the booming field of machine learning. In its annual canvas of the fastest growing technologies, IFI Claims Patent Services reports that machine learning was again among the hottest commodities based on the number of patent applications. The patent tracker said ML applications jumped 116 percent in 2018 to 2,498. (The rankings are based on the Cooperative Patent Classification system jointly managed by the European Patent Office an… 2019-02-27 00:00:00 Read the full story. Interest Score: 1.3595, Positive Sentiment: 0.1511, Negative Sentiment 0.2719

Exasol Launches Enterprise Cloud Data Warehouse on AWS

e as an enterprise-grade pay-as-you-go service on Amazon Web Services (AWS). The new service offers businesses easy native deployment of the world’s fastest and most flexible cloud data warehouse and data analytics solution on AWS. AWS Marketplace customers can now choose from pre-built Amazon Machine Images (AMIs) to build an optimal data analysis infrastructure that fully exploits Exasol’s market-leading performance. For example, to accelerate analysis of large complex datasets, or to enable self-service reporting as a central repository for structured and unstructured sources. ‘Building a modern data inf… 2019-03-04 08:15:49+00:00 Read the full story. Interest Score: 1.3429, Positive Sentiment: 0.4796, Negative Sentiment 0.0959

Concerns About Ethics Found To Hold Canada Back in Putting AI to Work

By Jodie Wallis, Accenture Canada’s AI Lead, and Amber Mac, technology reporter The race is on for global industry leaders to take advantage of artificial intelligence (AI) and the wide variety of improvements it brings to virtually every business function. At the same time, concerns are on the rise about the potential social implications and unintended consequences that may come with machines making decisions for humans. So where does Canada — a country considered to be a global leader in AI research — fit into this exciting yet tumultuous landscape? Harness… 2019-02-26 15:10:05+00:00 Read the full story. Interest Score: 1.3394, Positive Sentiment: 0.2940, Negative Sentiment 0.4247

Five Ways Artificial Intelligence & Analytics Are Driving Olympics 2020

ns of artificial intelligence to make technology and workspaces more accessible for the specially-abled. As part of their inclusive policy, tech giants are now building AI-powered tools embedded with machine learning and natural language processing capabilities for visually impaired and the hearing impaired As the The 2019 Special Olympics World Summer Games is just around the corner, we look at how emerging technologies like AI and ML are being used behind the scenes of such international events, to make it a grand success. Analyse Data From Non-Traditional Data Points For the upcoming The 2019 Special Ol… 2019-03-04 10:48:27+00:00 Read the full story. Interest Score: 1.3221, Positive Sentiment: 0.1442, Negative Sentiment 0.0962

Analysing The Difference Between Data Architecture & Information Architecture

There is a popular misconception surrounding data architecture and information architecture regarding the similarities between the two. They have very blurred lines between them. It is important to recognise the difference between the two for teams dealing with data in businesses. Know The Difference – Data vs Information Before we move into the architectures, let’s first see how data differs from information. Data is something wh… 2019-03-04 05:55:34+00:00 Read the full story. Interest Score: 1.3121, Positive Sentiment: 0.2233, Negative Sentiment 0.0558

How The World’s Biggest Banks are Doubling Down on AI

When we think of companies at the forefront of technological innovation, global financial institutions don’t necessarily come to mind. Instead, massive tech giants like Amazon, Apple and Alphabet dominate the conversation around innovation and garner the most attention. However, with new technologies like artificial intelligence going mainstream, even the classic gatekeepers in the financial sector can’t afford to ignore them. Now, the largest ba… 2019-02-26 15:45:41+00:00 Read the full story. Interest Score: 1.2962, Positive Sentiment: 0.3095, Negative Sentiment 0.1548

Is Digital Forensics Effectively Joining the Dots in Today’s Corporate Crime Scenes?

Cyber forensics, now at crossroads, has traveled a long way over the past decade. Digital forensics has now taken the baton, driven by the growing significance of digital investigation and fostering demand for consulting services in the field of digital forensics. Surpassing the typical trench coat-clad investigation officers and the CSI-style gadgetry, forensics has now arrived at a point far beyond merely dusting for fingerprints. Resolving co… 2019-03-01 11:00:00+00:00 Read the full story. Interest Score: 1.2953, Positive Sentiment: 0.1925, Negative Sentiment 0.8052

Random thoughts on my first ML deployment – Towards Data Science

5 things I didn’t know six months ago and that’s better not to forget in the months to come A little bit of context: I’m currently working for a fast growing yet still medium-sized company that after having built a robust and widely used product has decided to start leveraging the data generated during the years to bring some value to end users. Th… 2019-03-03 23:47:42.448000+00:00 Read the full story. Interest Score: 1.2931, Positive Sentiment: 0.1672, Negative Sentiment 0.1449

Danske Bank is using AI to predict IT breakdowns before they happen

Danske Bank is using machine learning technology from IBM for prediction and resolution of IT issues, identifying problems in advance before they impact on the customer. The Danish bank is applying IBM’s Predictive Insights tool at its Enterprise Command Centre to keep one step ahead of IT incidents and thereby avoid a breakdown in customer service.The system is currently being calibrated in an ongoing iterative process by the bank’… 2019-03-04 10:48:00 Read the full story. Interest Score: 1.2855, Positive Sentiment: 0.1607, Negative Sentiment 0.1607

Investment managers are touting tech buzzwords like ‘big data’ and ‘AI’ to win business. It’s not working

While buzzwords like artificial intelligence and big data have generated no shortage of hype, a majority of investors say they’re not totally sold on the ability of technology to deliver better returns. Only a quarter of 225 institutional investors surveyed by BlackRock in a new report ranked use of technology in investment decision-making as an important factor in choosing an active equity manager. More than half, by contrast, said risk management str… 2019-02-26 00:00:00 Read the full story. Interest Score: 1.2765, Positive Sentiment: 0.1557, Negative Sentiment 0.0311

Exciting Predictions For Where Big Data Analytics Are Headed By 2025

Turns out that, as far as AI and data are concerned, 2001 was not the year we humans should have been focusing on. However, 2025 just might be. That’s the year experts at research group IDC predicted that the world will be producing a staggering 163 zettabytes annually. A single zettabyte is one trillion gigabytes, and to put that in perspective, up until now we haven’t even cracked 35 zettabytes annually. Still, some 90% of all the data in the w… 2019-02-27 09:30:39+00:00 Read the full story. Interest Score: 1.2587, Positive Sentiment: 0.1775, Negative Sentiment 0.2098

Why You Should Use Dask If You Are Into Data Science & ML

egrate with libraries like sklearn and XGBoost? Then it would be called Dask. There are many solutions available in the market which are parallelisable, but they are not clearly transformable into a big DataFrame computation. Today these companies tend to solve their problems either by writing custom code with low-level systems like MPI, or complex queuing systems or by heavy lifting with MapReduce or Spark. Dask exposes low-level APIs to its internal task scheduler to execute advanced computations. This enables the building of personalised parallel computing system which uses the sam… 2019-03-04 11:15:31+00:00 Read the full story. Interest Score: 1.2454, Positive Sentiment: 0.2577, Negative Sentiment 0.1503

Being a Data Scientist does not make you a Software Engineer!

As we have seen before in the famous Venn diagram of Steven Geringer, Data Science is the intersection of 3 disciplines: Computer Science, Mathematics/Statistics and a particular Domain knowledge. Having basic (or even advanced) programming skills is key to put your end to end experiment together, however it does not mean that you have created an application that is production … 2019-03-02 17:59:14.668000+00:00 Read the full story. Interest Score: 1.2087, Positive Sentiment: 0.2545, Negative Sentiment 0.0636

5 Factors You Should Keep In Mind Before Presenting Statistical Results

The present scenario is a cut-throat digital era where the need for understanding the right way to present the statistical outcomes has become foremost important to move ahead among others. The organisations are spending millions of bucks on collecting and analysing data outcomes but it can be seen that most of the time it is harder for the audience to understand and utilise the data in a profitable way. In this article, we are listing the top f… 2019-03-03 07:00:47+00:00 Read the full story. Interest Score: 1.2086, Positive Sentiment: 0.1859, Negative Sentiment 0.1859

GridGain Previews Agenda For In-Memory Computing Summit Europe 2019

FOSTER CITY, Calif. – February 25, 2019 – GridGain® Systems, provider of enterprise-grade in-memory computing solutions based on Apache® Ignite™, today offered a preview of breakout sessions for the third annual In-Memory Computing Summit Europe 2019, taking place June 3-4, 2019 at the Park Plaza Victoria London. The breakout session speakers include representatives from Capital One, Cerner Corporation, Confluent, GigaSpaces, Hypi, Red Hat and Te… 2019-02-26 00:00:00 Read the full story. Interest Score: 1.2077, Positive Sentiment: 0.1672, Negative Sentiment 0.0186

7 Jobs Humans Can Do Better Than Robots And AI

The rise of artificial intelligence or AI in the past decades has resulted in collective anxiety around the world. The common apprehension is that there will be massive loss of jobs as robots and computers eventually replace employees. The fear is not without some basis; after all, robots and computers have proven to be far better than humans at executing certain tasks. However, it must be noted that not all jobs will eventually be… 2019-02-27 15:11:30+00:00 Read the full story. Interest Score: 1.2042, Positive Sentiment: 0.4817, Negative Sentiment 0.2007

Aite Group Launches Cybersecurity Practice

A recent survey by TD Ameritrade found that cybersecurity was a No. 1 concern to investment advisors. To address that concern, Aite Group announced that it is launching a new cybersecurity practice. Aite is an independent research and advisory firm that focuses on financial services issues. The practice will provide “research into best practices and technical solutions that can strengthen the cyber risk profile of financial institutions” and othe… 2019-02-26 00:00:00 Read the full story. Interest Score: 1.2023, Positive Sentiment: 0.1414, Negative Sentiment 0.2829

The Analytics Opportunity For Marketing And Sales Alignment: An Encore Presentation

I’m bringing this topic to the top of your inbox, so to speak, but not (just) because I’m self-promotional. Lack of alignment really does continue to plague B2B sales and marketing organizations. Last year, I began to explore this challenge with analytical methods front and center. My hypothesis: B2B marketers and sales can use a breadth of analytics techniques to align at the very core of their go-to-market strategies — and continue that alignm… 2019-02-28 14:14:52-05:00 Read the full story. Interest Score: 1.1989, Positive Sentiment: 0.4691, Negative Sentiment 0.1303

The Revenge Of The Atoms Can Drive A New Relationship With Customers

We’ve just released a major new report, “The Revenge Of The Atoms.” The report starts with an anecdote from MIT Media Lab founder Nicholas Negroponte. Once, when traveling through US customs, Negroponte declared the value of his laptop at $2 million, counting the value of the bits of information stored on the hard drive. But the customs agent declared the laptop worth $2,000; she counted only the value of the device’s atoms. He later wrote a boo… 2019-02-28 15:15:51-05:00 Read the full story. Interest Score: 1.1952, Positive Sentiment: 0.3274, Negative Sentiment 0.2783

ParallelM Addresses Machine-Learning Deployment Challenge

ParallelM, a provider of machine learning operationalization (MLOps) software, has released a new version of MCenter that includes REST-based serving using Kubernetes to create a no-code, autoscaling infrastructure for model serving supporting the leading modeling frameworks. The MCenter solution is built specifically to power the deployment, management, and governance of machine learning pipelines in production so that companies can sc… 2019-02-26 00:00:00 Read the full story. Interest Score: 1.1921, Positive Sentiment: 0.1834, Negative Sentiment 0.1376

Why You Should Be Celebrating International Open Data Day With Gusto

Open data provides many advantages in various social and economic issues of the world and allows for different components to work together. To mark the importance of open data and spread its awareness across the globe, we have an International Open Data Day. The International Open Data Day is an annual event that takes place globally in the first week of March and focuses on promoting awareness and use of open data. Different univ… 2019-03-03 04:04:19+00:00 Read the full story. Interest Score: 1.1783, Positive Sentiment: 0.4031, Negative Sentiment 0.0930

We Need to Be Smart About How Government Uses AI

One of the big misconceptions is that AI is a future technology, akin to humanoid robots that appear in television shows and movies. But AI is not a speculative technology—it already has many real-world applications, and ordinary people rely on it in one form or another every day. AI already powers many common mobile apps and programs. In fact, iPhones, Amazon’s Alexa, Twitter and Facebook feeds, Google’s search engine, and Netflix movie queues—… 2019-02-26 15:00:15+00:00 Read the full story. Interest Score: 1.1467, Positive Sentiment: 0.1398, Negative Sentiment 0.1678

5 game-changing influences of AI and why should you care about them

Whether you’re a best-selling author, a brilliant doctor, an expert logistics manager, or just an ordinary web user, chances are high that artificial intelligence (AI) will impact the way you work, search for information, shop online, and do many other things. In fact, there are many ways in which AI impacts your life every day, you just don’t know about them. For example, a video suggested by YouTube, a spam email that gets redirected from your… 2019-03-04 06:56:00+00:00 Read the full story. Interest Score: 1.1409, Positive Sentiment: 0.3651, Negative Sentiment 0.0989  

Empower Clinics rises as it announces plans for hemp-based cannabidiol extraction facility in Oregon

Empower Clinics Inc (OTCMKTS:EPWCF) (CSE:EPW) soared Thursday as it announced plans to open a hemp-based cannabidiol extraction facility in the Portland, Oregon, area during the second quarter. The medical cannabis company said in a statement that it has entered a tentative deal to buy and license extraction equipment from Aibeida LifeTech Ltd. The first system is expected to have the capacity to produce 6,000 kilograms of extracted product per … 2019-02-28 00:00:00 Read the full story. Interest Score: 1.1290, Positive Sentiment: 0.4301, Negative Sentiment 0.2151  

Core Technologies and Tools for AI, Big Data, and Cloud Computing

anies are just beginning to address the interplay between their suite of AI, big data, and cloud technologies. I’ll also highlight some interesting uses cases and applications of data, analytics, and machine learning. The resource examples I’ll cite will be drawn from the upcoming Strata Data conference in San Francisco, where leading companies and speakers will share their learnings on the topics covered in this post. AI and machine learning in the enterprise When asked what holds back the adoption of machine learning and AI, survey respondents for our upcoming report, “Evolving Data Infrastructure,” cited… 2019-02-25 11:03:34+00:00 Read the full story. Interest Score: 1.0782, Positive Sentiment: 0.3369, Negative Sentiment 0.1348

Prototyping the benefits of machine learning, today

Machine learning and artificial intelligence (AI) will transform our lives in the decades to come. But machine learning also has a role in the more near term to address concrete problems users currently face on a daily basis. This article explores how SimCorp is looking to exploit these opportunities. At SimCorp, we have set up a dedicated research function, SimCorp Technology Labs, to pursue our ambitions in th… 2019-03-01 00:00:00 Read the full story. Interest Score: 1.0767, Positive Sentiment: 0.1758, Negative Sentiment 0.3735

The shift to collaborative robots means the rise of robotics as a service

The 2018 Holiday shopping season was the biggest on record for e-commerce, with nearly $126 billion in online sales. But as e-commerce continues to expand, the demand for warehouse workers is growing faster than the labor supply and creating an increased need for automation. Given its dominance in e-commerce and the massive scale of its business, there’s no surprise that Amazon was one of the first companies to supplement their human workforce w… 2019-03-03 00:00:00 Read the full story. Interest Score: 1.0649, Positive Sentiment: 0.4935, Negative Sentiment 0.1818

New security and privacy issues Big Data users will face in 2019

By now, everyone on the planet (well, perhaps save the preserved Mashco-Piro tribe in the Peruvian Amazon) has heard of the infamous 2014 Yahoo data breach that affected over 3 billion user accounts and hurled Yahoo into cyber obscurity. The once $100 billion company established in 1994 was sold for pennies on the dollar to Verizon at an estimated $4.3 billion. The Yahoo breach was the worst in a long line of security breaches that also blind-si… 2019-02-26 08:43:43+00:00 Read the full story. Interest Score: 1.0625, Positive Sentiment: 0.0770, Negative Sentiment 0.4158

Improving Db2 Performance: Q&A with Craig S. Mullins

Despite the attention given to new big data management technologies, Db2 remains one of the most widely used database management systems in the world and a fundamental component of many enterprise data architectures. In a new book, titled A Guide to Db2 Performance for Application Developers, Craig S. Mullins, president and principal consultant, Mullins Consulting, provides advice and direction to Db2 application developers and programmer… 2019-02-26 00:00:00 Read the full story. Interest Score: 1.0289, Positive Sentiment: 0.2572, Negative Sentiment 0.2572

Are Compliance Costs Currently Highway Robbery? – BridgeProtocol – Medium

Are Compliance Costs Currently Highway Robbery? Jesse Lama Blocked Unblock Follow Following Feb 28 The majority of businesses that operate within government regulations understand the need for compliance. But very commonly we see that the authenticity of these checks require due diligence in selecting a provider. With this comes a very heavy price and one that can impact whether new companies or startups pass/fail. To make this less bearable, s… 2019-03-01 01:38:25.794000+00:00 Read the full story. Interest Score: 1.0030, Positive Sentiment: 0.2198, Negative Sentiment 0.4259

Symantec Advances Integrated Cyber Defense Platform

No one technology or vendor can protect an organization against all cyber-security risks. That’s why Symantec has been pushing forward its vision of an Integrated Cyber Defense platform (ICD) in an effort to bring together multiple technologies with an integrated approach. On Feb. 27, Symantec announced a major set of advancements for ICD, with new capabilities to help organizations make sense of different technologies and threats in a unified m… 2019-02-27 00:00:00 Read the full story. Interest Score: 0.9873, Positive Sentiment: 0.1536, Negative Sentiment 0.1755

How to Navigate Investing in A.I., From Someone Who’s Done It

Zuckerberg’s “move fast and break things” mantra may no longer be Facebook’s modus operandi, but Silicon Valley’s demand for rapid growth is still strong. And the rise of the competitive landscape of artificial intelligence is only fueling it. Last year, venture capital investment in A.I. start-ups increased 72 percent from the previous year to a record $9.3 billion in the United States, according to a PricewaterhouseCoopers report. Reid Hoffman, the co-founder of LinkedIn and a prominent venture capitalist, said at The New York Times’s New Work Summit in California that he looked very carefully at A.I. ventures t… 2019-03-02 00:00:00 Read the full story. Interest Score: 0.9872, Positive Sentiment: 0.1974, Negative Sentiment 0.0987

Online shopping algorithms are colluding to keep prices high

However, new algorithmic pricing programmes are becoming far more sophisticated than the original revenue management systems because of developments in artificial intelligence. Humans still played an important role in revenue management systems by analysing the collected data and making the final decision about prices. But algorithmic pricing systems largely work by themselves. In the same way that in-home voice assistants like Amazon Echo learn about their users over time and change the way they operate accordingly, algorithmic pricing programmes learn through experi… 2019-02-26 00:00:00 Read the full story. Interest Score: 0.9594, Positive Sentiment: 0.1919, Negative Sentiment 0.5208

Here are the data brokers quietly buying and selling your personal information

It’s no secret that your personal data is routinely bought and sold by dozens, possibly hundreds, of companies. What’s less known is who those companies are, and what exactly they do. Thanks to a new Vermont law requiring companies that buy and sell third-party personal data to register with the Secretary of State, we’ve been able to assemble a list of 121 data brokers operating in the U.S. It’s a rare, rough glimpse into a bustling economy that operates largely in the shadows, and often with few rules. Even Vermont’s first-of-its-kind law, which went into effect last month, doesn’t require data brokers to disclose who’s in their databases, what data they collect, or who buys it. Nor does it require brokers to give consumers access to their own data or opt out of data collection. Brokers are, however required to provide some information about their opt-out systems under the law–assuming they provide one. 2019-03-02 11:30:17 Read the full story. Interest Score: 0.9549, Positive Sentiment: 0.1157, Negative Sentiment 0.0723

Banks run war games to test response to advanced WannaCry threat

nnaCry-style attack on a simulated bank network. The cyberrange exercise, hosted by UBS, follows recent predictions from the Financial Services Information Sharing and Analysis Center (FS-ISAC) that artificial intelligence will be increasingly used to create new ransomware that is able to evade detection and circumvent protections in 2019. The exercise convened CISOs, CIOs, heads of security and security analysts from 14 leading financial services and trade associations to participate in the simulated attack, which was also observed by several multinational retail and investment banks, asset and wealth managemen… 2019-03-01 10:08:00 Read the full story. Interest Score: 0.9395, Positive Sentiment: 0.4698, Negative Sentiment 0.1762

Surviving the Coming Data Governance Wave

A data governance wave is building in the United States. If you put your ear to the ground, you can hear it rumbling. It’s inevitable that new regulations eventually will emerge that dictate how companies must ensure the integrity, security, and privacy of the personal data they gather, store, and process. Those who get ahead of the wave have the best odds of success, while those who delay investment run a risk of getting swamped. There are many… 2019-02-28 00:00:00 Read the full story. Interest Score: 0.9296, Positive Sentiment: 0.1247, Negative Sentiment 0.3174

Kx to power global Smart Cities with Urban Institute

he next generation of smart cities, enabling operational intelligence to be embedded into vital infrastructure such as road, water, phone and power systems. Kx will enable the Urban Institute’s smart data analytics platform, UrbanPulse, to process and analyze rapidly-growing data volumes in real-time to deliver infrastructure benefits that are critical to the health of modern cities and their residents. With Smart City spending expected to reach $158 billion by 2022 (IDC), the Urban Institute provides technology that is instrumental in delivering the smart cities of the future. The aim is to deliver bene… 2019-02-27 00:00:00 Read the full story. Interest Score: 0.9259, Positive Sentiment: 0.3411, Negative Sentiment 0.1706

5G@MWC19 — Reflections On Mobile World Congress 2019

This week, Mobile World Congress (MWC) took place in Barcelona. The event theme was “Intelligent Connectivity.” This theme captured well what is happening in the market. At the same time, the event was overshadowed by geopolitical squabbles over network security as well as greater scrutiny of financial viability regarding emerging technology investments — such as 5G, the dominating theme at the event. My subjective takeaways from MWC19 are: 5G, … 2019-03-01 10:03:51-05:00 Read the full story. Interest Score: 0.9214, Positive Sentiment: 0.2633, Negative Sentiment 0.1316

Why do we need to understand our pets for better solutions?

The importance of artificial intelligence is increasing to the extent that we now search for the contributors who can revolutionize the machine learning to facilitate the coverage of various fields and be of human assistance. In this post, we will see how understanding animals can help us create AI-based solutions for pet world. Alleviate Efforts: Artificial Intelligence lessens the efforts of humans with the machines that ease the activities designed for animals and reduces supervision. Communication Barriers: Elimination of communication bar… 2019-02-28 16:33:18+00:00 Read the full story. Interest Score: 0.9177, Positive Sentiment: 0.2254, Negative Sentiment 0.3059

Here’s How Big Data Influences Banking And Online Lenders

It was an ideal time for online lenders to arrive in Silicon Valley. After the financial crisis of 2008, banks who were the first choice as lenders for everyday people took a little bit of time to comprehend the way in which customers wanted to access credit and they were not ready to take any kind of risks. They failed to focus on the needs and demands of customers and instead they concentrated on capital constraints and other regulations that w… 2019-03-04 11:30:38+00:00 Read the full story. Interest Score: 0.9157, Positive Sentiment: 0.3855, Negative Sentiment 0.3534

Enable Marketing’s CX Ambitions With Real-Time Interaction Management

One of our 2019 B2C marketing predictions is that enterprise marketing technology will meld with customer experience (CX) investments to deliver the relevancy and consistency that consumers crave from brands. Real-time interaction management (RTIM) provides critical capabilities that enable marketers to realize their CX ambitions. Forrester defines RTIM as: Enterprise marketing technology that delivers contextually relevant experiences, value, … 2019-02-27 09:45:19-05:00 Read the full story. Interest Score: 0.9106, Positive Sentiment: 0.2070, Negative Sentiment 0.1242

Largest US Center on Artificial Intelligence, Policy Comes to Georgetown

A recent press release states, “A $55 million grant is creating the largest center in the United States focused on Artificial Intelligence (AI) and policy at Georgetown. The Center for Security and Emerging Technology (CSET), to be housed at Georgetown’s Walsh School of Foreign Service (SFS), will combine world-class AI expertise and advanced computing with Georgetown’s extensive networks in security policy to bridge the widening gulf between technology and policy. Funded by the Open Philanthropy Project, it will deliver nonpartisan… 2019-03-04 08:05:54+00:00 Read the full story. Interest Score: 0.8959, Positive Sentiment: 0.0560, Negative Sentiment 0.0560

Use these hidden Siri tips to do even more with your iPhone and iPad

Thousands of apps now use Apple’s Siri Shortcuts. The Siri Shortcuts app was introduced in June, but a lot of people don’t even know what it is. That’s too bad, because Siri Shortcuts is the best way to use Siri to control apps. You might ask Siri to open CNBC and begin playing live TV, for example. Apple’s Siri is still the most popular intelligent assistant, with 10 billion Siri requests per month on 500 million devices, but competitors like … 2019-02-28 00:00:00 Read the full story. Interest Score: 0.8643, Positive Sentiment: 0.3457, Negative Sentiment 0.0864

Why quantum computing is a geopolitical race for business and national security

The second quantum race – for raw compute power – must therefore be accompanied by thoughtful discussion of the implications of such scientific advancements in quantum computing being controlled by national militaries. “We are seeing something that could amount to a quantum revolution,” Professor James Der Derian, from the University of Sydney’s Centre for International Security Studies, told an audience of more than 100 at a free, public lectur… 2019-03-03 00:00:00 Read the full story. Interest Score: 0.8349, Positive Sentiment: 0.1431, Negative Sentiment 0.0954

Univ. of Washington opens new computer science building, doubling capacity to train future tech workers

When Ed Lazowska arrived at the University of Washington four decades ago, there were just 12 computer science faculty members. Meanwhile across Lake Washington, a small startup called Microsoft had recently relocated to the region from Albuquerque, N.M. The transformation since then has been remarkable. The UW boasts one of the top computer science programs in the world. Just down the road, Microsoft grew into a technology giant and provided th… 2019-02-28 08:01:43-08:00 Read the full story. Interest Score: 0.8336, Positive Sentiment: 0.1081, Negative Sentiment 0.0926

How to Implement a Successful BI Strategy

Whatever size your business, having a successful business intelligence strategy is important. Business intelligence (BI) can include a wide variety of data, but basically it is a set of processes or methodologies that take data and turn it into meaningful information. This information allows a business owner to make more effective strategic and operational decisions. To be its most effective, BI data should include information from the business … 2019-02-25 00:00:00 Read the full story. Interest Score: 0.8327, Positive Sentiment: 0.2363, Negative Sentiment 0.0225

The Ones That Got Away: Cramer’s ‘Mad Money’ Recap (Thursday 2/28/19)

When it comes to investing, Jim Cramer told his Mad Money viewers Thursday that there’s no room for second guessing. Sometimes, your winners turn into losers and sometimes the winners get away. That’s why Cramer listed 10 stocks he wished he’d been recommending a lot harder than he has. First up was Eli Lilly (LLY) , which traded for $77 a share last year, but now trades for $126. Internet messaging kingpin Twilio (TWLO) has seen its shares rise… 2019-02-28 20:50:30-05:00 Read the full story. Interest Score: 0.8266, Positive Sentiment: 0.2861, Negative Sentiment 0.0318

Microsoft’s quantum computing network takes one giant leap at Startup Summit

REDMOND, Wash. — Quantum computing may still be in its infancy — but the Microsoft Quantum Network is all grown up, fostered by in-house developers, research affiliates and future stars of the startup world. The network made its official debut today here at Microsoft’s Redmond campus, during a Startup Summit that laid out the company’s vision for quantum computing and introduced network partners to Microsoft’s tools of the quantum trade. Quantu… 2019-03-01 00:26:43-08:00 Read the full story. Interest Score: 0.8087, Positive Sentiment: 0.2441, Negative Sentiment 0.2746

AdvisorBid Launches Public Profiles for Every RIA

AdvisorBid, an online recruitment tool and a marketplace for buyers and sellers of wealth management firms, launched public profiles for all registered investment advisors last week. Regardless of whether an advisor has signed up for AdvisorBid, they now have a profile on the platform. Brandon Spottswood, founder and CEO of AdvisorBid, likens the profiles to those on other social media websites, especially LinkedIn. But AdvisorBid profiles were … 2019-02-26 16:06:43-05:00 Read the full story. Interest Score: 0.8033, Positive Sentiment: 0.1190, Negative Sentiment 0.0298

Announcing The Case Centre’s Award and Competition Winners 2019

#CaseAwards2019 Now in their 29th year, The Case Centre’s 11 Awards and five Competitions celebrate excellence in case writing and teaching at schools of business, management and government worldwide. Highlights The Overall Winning Case, on Accor’s digital marketing, was co-authored at Harvard Business School (HBS), the Cornell SC Johnson College of Business, Cornell University and ESSEC Business School. (This is a fourth Overall Award for HBS… 2019-02-25 00:00:00 Read the full story. Interest Score: 0.8031, Positive Sentiment: 0.4567, Negative Sentiment 0.0630

Schwab Asks Advisors to Peer Into the Future

ms over the coming decade. Twenty-nine percent of advisors cited longer client lifespans as the main one, 27% said information privacy/data integrity and 25% pointed to changing workplace dynamics. Artificial intelligence, climate change and medical advancements followed, cited by 14%, 2% and 1% of advisors. “The world in which advisors and their clients live is changing rapidly and the implications of these changes will ultimately manifest in how advisors evolve their firms to serve the changing needs of their clients,” Bernard Clark, head of Schwab Advisor Services, noted in the study. Logica Research conducte… 2019-03-01 00:00:00 Read the full story. Interest Score: 0.7980, Positive Sentiment: 0.4620, Negative Sentiment 0.2100

Interview with Oren Eini of RavenDB on database management & security

Recently, I had an opportunity to interview Oren Eini, CEO and founder of Hibernating Rhinos which provides RavenDB, an open source document-oriented NoSQL designed especially for the .NET/Windows platform. Oren has more than 20 years of experience in the development world with a strong focus on the Microsoft and .NET ecosystem. Recognized as one of Microsoft’s Most Valuable Professionals since 2007, Oren is also the author of “DSLs in Boo: Doma… 2019-02-26 07:14:49+00:00 Read the full story. Interest Score: 0.7656, Positive Sentiment: 0.1655, Negative Sentiment 0.1966

Namaste Technologies looks to become the ‘Amazon of cannabis’ with its integrated, intelligent cannabis experience

NamasteMD, its online patient portal, has been redesigned and will be released soon Launching a new retail brand called the Namaste Café, which will launch locations in Toronto, Montreal and other cities Strong cash position allows for the execution of strategy and continued innovation Brought on director Branden Spikes, former chief information officer at Elon Musk’s SpaceX, as chairman of the board What Namaste Technologies does ( ) (OTCMK… 2019-02-27 00:00:00 Read the full story. Interest Score: 0.7364, Positive Sentiment: 0.2946, Negative Sentiment 0.1718

Launching Analytics Vidhya Certified Programs and new Courses portal

You Dream Big, You Think Big, You Grow Big I have to confess – I have been living a dream for the last 5 years. When I started Analytics Vidhya – it was a blog, run with a passion to share knowledge with people interested in data science (or Analytics, as it was called then!). Little did I know we would get this big. The lines in the quote above resonate with me because that is how we have grown. We had a dream of what the world would look lik… 2019-02-27 05:00:50+00:00 Read the full story. Interest Score: 0.7337, Positive Sentiment: 0.2871, Negative Sentiment 0.0478

Bill Gates opens new UW computer science building with tribute to Microsoft co-founder Paul Allen

Bill Gates wanted to clear something up. Speaking at a celebration event for a new University of Washington computer science building named after the Microsoft co-founder and his wife, Gates on Thursday recalled the days when he and Paul Allen would sneak into buildings on the UW campus and tinker around with the university’s computers — a key step in the journey that led them to launch Microsoft years later. “There is a history of work that Pa… 2019-03-01 00:19:16-08:00 Read the full story. Interest Score: 0.7330, Positive Sentiment: 0.3162, Negative Sentiment 0.0575

Key trends in information security: Forecasting the top 4 RSA Conference themes for 2019

Next week, one of the biggest security conferences in the world, RSA, kicks off at the Moscone Convention Center in San Francisco. Each year, tens of thousands of information security (infosec) professionals come together at RSA to share their cyber security research, network with peers and learn about the latest defensive technologies from researchers and security vendors alike. While I personally prefer the deep research and training found at t… 2019-03-02 18:33:19-08:00 Read the full story. Interest Score: 0.7145, Positive Sentiment: 0.2429, Negative Sentiment 0.3287

Ace Data Science Interviews Podcast Series by Analytics Vidhya

Introduction Are you finding it tough to land a data science role? Do you feel fully prepared before you enter the interview room but you just can’t figure out why you keep getting rejected? I’ve been there. Thousands of fellow aspiring data science professionals have been there. It’s a tough pill to swallow. Before I landed a data science role, I worked in the learning and development field for over 5 years. I held little to no technical experience, for… 2019-02-28 03:00:23+00:00 Read the full story. Interest Score: 0.7125, Positive Sentiment: 0.2138, Negative Sentiment 0.3384  
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