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AI & Machine Learning News. 22, April 2019

A quiet short week so not as much interesting news as usual… Github  

Avoiding the Herd in Overcrowded Alt Data

Fundamental investment managers are mining alternative data, but some worry that the same data sets have been sold to too many people and the strategies may be overcrowded. Experts at a recent panel discussion on alternative data brought some clarity to how alternative data is categorized and what are the big challenges faced by fundamental asset managers, quants and hedge funds finding tradeable signals building models. But some of the strategies are no longer as profitable as they were initially. “There is no amount of alpha that exists forever and ever. Eventually it gets exploited,” said Erez Katz, CEO and co-founder of Lucena Research, an Atlanta-based predictive analytics firm. Lucena provides a platform that extracts actionable signals from data using machine learning technology. However, it is possible to prolong the lifespan of signals to buy or sell gleaned from alternative data, said Katz. “The idea is to find data in the context of hard-to-find combinations of multiple factors from multiple data sets that can provide information that is not available to the naked eye. This is what we see are the needs of consumers on the buy side,” said Katz. 2019-04-18 15:36:42 Read the full story. Interest Score: 2.2284, Positive Sentiment: 0.1050, Negative Sentiment 0.1400 CloudQuant Thoughts… Alternative Data is no different from any other kind of data, having the data does not benefit you unless you are the first to have access (which is rare). But how you look at the data is important. If you look at the data the same way that everyone else looks at the data then you will get the same result.. nothing unique. But if you can develop a habit of looking at data creatively you will generate your own unique data-points. Particularly if you combine two different data sources. Nolan Bushnell – Founder of Atari and a long time favorite of mine – said it best “Whenever I visit a City and they have a convention center, I always try to attend a show. It doesn’t matter what it is for, the more obscure the better, because then I can combine it with something only I know and create a completely new thing in the universe.”  

Investors Are Not Waiting Three Years With ETFs

New ETFs keep launching on a weekly basis, and not long after CFRA establishes a quantitative forward-looking rating. While some others in the industry wait for a three-year anniversary, we understand there’s demand to learn about new products early in their lifecycle. Indeed, there are nine ETFs that began trading in the last three years, rated by CFRA and that have a market capitalization greater than $1 billion. Many more could hit that mark b… 2019-04-19 14:04:37+00:00 Read the full story. Interest Score: 2.1960, Positive Sentiment: 0.2214, Negative Sentiment 0.0369 CloudQuant Thoughts… IPOs and new ETFs are all the rage at the moment but how do you trade something when you have no history? If you can navigate those choppy waters successfully then we want to hear from you.. write a succesful model in Python at CloudQuant.com and we will back it with our considerable financial might, no risk for you, only upside!  
 

ROBO Global index outpaces global equities, surges 18% in 1Q

ROBO Global is an index, advisory, and research company focused 100% on helping investors capture the unique opportunities of fast-growing robotics, automation, and artificial intelligence (RAAI) companies around the world. ROBO Global is an index, advisory, and research company focused 100% on helping investors capture the unique opportunities of fast-growing robotics, automation, and artificial intelligence (RAAI) companies around the world. Our global team, including managing partners and advisors in San Francisco, Dallas, New York, London, Zurich, Hong Kong, and Tokyo, launch… 2019-04-16 00:00:00 Read the full story. Interest Score: 2.7102, Positive Sentiment: 0.3475, Negative Sentiment 0.0695  

Using AI to Make Knowledge Workers More Effective

New AI capabilities that can recognize context, concepts, and meaning are opening up surprising new pathways for collaboration between knowledge workers and machines. Experts can now provide more of their own input for training, quality control, and fine-tuning of AI outcomes. Machines can augment the expertise of their human collaborators and sometimes help create new experts. These systems, in more closely mimicking human intelligence, are proving to be more robust than the big data-driven systems that came before them. And they could profoundly affect the 48% of the US workforce that are knowledge workers—and the more than 230 million knowledge-worker roles globally. But to take full advantage of the possibilities of this smarter AI, companies will need to redesign knowledge-work processes and jobs. 2019-04-19 13:00:00+00:00 Read the full story. Interest Score: 1.4120, Positive Sentiment: 0.2662, Negative Sentiment 0.1157  

The new digital divide is between people who opt out of algorithms and people who don’t

Every aspect of life can be guided by artificial intelligence algorithms–from choosing what route to take for your morning commute, to deciding whom to take on a date, to complex legal and judicial matters such as predictive policing. Big tech companies like Google and Facebook use AI to obtain insights on their gargantuan trove of detailed customer data. This allows them monetize users’ collective preferences through practices such as micro-targeting, a strategy used by advertisers to narrowly target specific sets of users. In parallel, many people now trust platforms and algorithms more than their own governments and civic society. An October 2018 study suggested that people demonstrate “algorithm appreciation,” to the extent that they would rely on advice more when they think it is from an algorithm than from a human. 2019-04-18 08:00:06 Read the full story. Interest Score: 1.3685, Positive Sentiment: 0.0000, Negative Sentiment 0.0978

Rethinking the Future of Data Warehousing

Data warehouses are poised to play a leading role in next-generation initiatives, from AI and machine learning, to the Internet of Things. Alongside new architectural approaches, a variety of technologies have emerged as key ingredients of modern data warehousing, from data virtualization and cloud services, to JSON data and automation. Download this special report for the top trends, emerging best practices and real-world success factors. 2019-04-22 00:00:00 Read the full story. Interest Score: 2.9345, Positive Sentiment: 0.6772, Negative Sentiment 0.0000

CME Launches Benchmark Tool for Hedge Funds

CME Group has launched a community benchmarking tool which leverages an alternative data set to help customers – hedge funds, asset managers and banks – make more informed investment decisions. The tool, ENSO Data Insights, helps market participants evaluate how market dynamics are driving costs and demands to borrow stock, optimize counterparty management and seize alpha-generating opportunities. The tool is part of ENSO, a portfolio finance and treasury industry technology provide… 2019-04-17 10:54:55+10:00 Read the full story. Interest Score: 2.4807, Positive Sentiment: 0.2756, Negative Sentiment 0.1103

McKinsey: Traditional Asset Managers Are Embracing AI and Alternative Data • Integrity Research

A recent McKinsey white paper argues that artificial intelligence is broadly impacting the asset management industry, not only transforming the traditional investment process. As more asset managers bring AI in-house, the demand for external research products will shift as internal machine learning subsumes external analyst and sales roles. In “Advanced analytics in asset management: Beyond the buzz”, McKinsey reports that AI usage has accelerated over the last two years and is now being applied in a wide range of areas within asset managers: “A broad set of firms are embracing new analytics methods at multiple points across the asset management value chain—and beyond the alpha-generating use cases favored by quant firms.” Although investment management remains a key use case, AI is also being utilized to improve product distribution and create operational efficiency. 2019-04-15 00:58:57+00:00 Read the full story. Interest Score: 2.4161, Positive Sentiment: 0.3052, Negative Sentiment 0.0254

‘Data Scientist’ Title Evolving Into New Thing

Who is a data scientist, and what do they do? It’s a worthy question, and one that’s been asked an untold number of times over the years. But now it appears the job definition of the data scientist is changing into something new. The big question, then, is what replaces it? The traditional definition of a data scientist is somebody who has the requisite skills to build applications that can manipulate large amounts of data to affect some positive change in an organization. The Venn diagram of the data scientist typically shows strength in three overlapping areas: mathematics/statistics, computer science, and business expertise (although there’s often less emphasis on the third category, owing to the rarity of these “unicorns”). In response to the steep demand for data scientists and the kingly salaries they command, universities revamped their curricula and degree programs, and began churning out freshly minted data scientists ready to spin big data into gold for an eager industry. 2019-04-17 00:00:00 Read the full story. Interest Score: 2.0781, Positive Sentiment: 0.0938, Negative Sentiment 0.1094

New App Makes Proxy Voting Easier for Individual Investors: Portfolio Products

Broadridge Financial Solutions, Inc. plans to launch a new app that makes investor voting easier. The app, which will be available on Android and iPhone, creates a streamlined experience through a single personalized dashboard that allows investors to vote and equips them with new tools and educational resources designed to drive more meaningful engagement. In 2018, individual investors participated in only 28% of the total voting opportunities… 2019-04-22 00:00:00 Read the full story. Interest Score: 2.0710, Positive Sentiment: 0.2367, Negative Sentiment 0.1036

MarketAxess to Overhaul ETF Analytics

Electronic fixed income trading platform MarketAxess expects CP+ (Composite Plus), it’s proprietary algorithmic pricing engine for corporate bonds, to become equally relevant for fixed income exchange-traded funds following the partnership with market maker Virtu Financial. This month MarketAxess announced a partnership with Virtu Financial to provide institutions with enhanced trading tools and access to global ETFs and fixed income securities i… 2019-04-15 16:34:52+00:00 Read the full story. Interest Score: 2.0683, Positive Sentiment: 0.1839, Negative Sentiment 0.1072

Majesco and DataRobot Partner to Bring Integrated AI/Machine Learning to Customers

According to a recent press release, “Majesco, a global leader of cloud insurance software solutions for insurance business transformation, announced today a partnership with DataRobot, the leader of automated machine learning, to accelerate adoption and success of AI in the insurance industry. Through the new partnership, Majesco customers can leverage the DataRobot automated machine learning platform capabilities integrated with Majesco solutio… 2019-04-19 07:10:53+00:00 Read the full story. Interest Score: 2.0564, Positive Sentiment: 0.4700, Negative Sentiment 0.1175

Decision Making Is More Than Quantitative Problem Solving

“All my best decisions in life and work have been made with heart, intuition, courage and not analysis.” — Jeff Bezos at Economic Club of Washington 2018 For years I had a mental model that equated decision making to quantitative problem solving. In this mental model, a decision can be made when a quantitative problem is solved; for example, a new drug should not get an approval (decision making) if its treatment effect is not statistically better than a comparison drug (quantitative problem solving). I have had this mental model for a long time, because this mental model not only mirrors my experience in how I approached textbook problems quantitatively at school, but also speaks directly to the popular concept of data driven decision making in workplace. This mental model treats decision making as a smooth continuum of quantitative problem solving, and makes me believe that I know decision making just because I know quantitative problem solving. Different from my imaginary decision making, decision making on the ground is a dynamic process that can either rely on or be completely independent of quantitatively problem solving. Through my work, I am shocked by the mismatch between decision making and quantitative problem solving; many data scientists also admit their data results are not well taken by their business partners (link). 2019-04-22 14:36:54.500000+00:00 Read the full story. Interest Score: 2.0544, Positive Sentiment: 0.3563, Negative Sentiment 0.3206

Quobyte Offers TensorFlow Plug-In

Quobyte Inc., a developer of modern storage system software, will be offering a TensorFlow plug-in for its distributed file system, providing increased throughput performance and linear scalability for ML-powered applications. Using Quobyte storage with TensorFlow helps to simplify and streamline the operation of machine learning. Quobyte’s TensorFlow File System Plug-in allows TensorFlow applications to talk directly to Quobyte, bypassing the operating system kernel to significantly reduce kernel mode context switches and lower CPU usage. While Quobyte storage can be used with all stages of ML, the resulting increased GPU utilization from the TensorFlow plug-in speeds up model training of ML workflows. 2019-04-18 00:00:00 Read the full story. Interest Score: 1.9549, Positive Sentiment: 0.1657, Negative Sentiment 0.0994

How AI Can Prevent CRM’s ‘Garbage In, Garbage Out’ Syndrome

After 20 years in business, Salesforce’s Achilles’ heel may be showing up: Failure for a growing number of companies to deliver on promised ROI for better sales visibility, sales productivity, sales effectiveness and better customer management. Many companies have invested millions of dollars in customer relationship management and marketing automation tools. That investment has failed to live up to expectations in large part because traditional CRM tools require users to manually enter contacts and customer activity data, which salespeople loathe and is their main productivity killer. 2019-04-17 00:00:00 Read the full story. Interest Score: 1.9123, Positive Sentiment: 0.2887, Negative Sentiment 0.3247

Machine Learning vs Traditional Programming

While some call AI and ML overhyped themes that are nothing more than if statements, or just programming stuff, I offer you to come face to face with all pieces of evidence to check this out. In this post, I will contrast these terms and also showcase the difference between the specialists who are involved in these two spheres: who are they? Software engineer, software developer, machine learning expert, data scientist…some people even use a programmer or coder, and some even go as far as a ninja, guru, or rock star! But, are they really the same? And if so, is there a line between Machine Learning and Traditional Programming? 2019-04-22 15:05:40.003000+00:00 Read the full story. Interest Score: 1.8896, Positive Sentiment: 0.1198, Negative Sentiment 0.1290

What New Data Scientists Need to Know for Their First Job

By J.T. Wolohan, Data Scientist, Booz Allen Hamilton I’m a lead data scientist at the consulting firm and federal contracting giant Booz Allen Hamilton—a leader in the analytics services space. I oversee a small team of data scientists—some of whom are fresh out of masters and undergrad programs—in a variety of analytics platform development and algorithm development projects, from text mining, to document similarity and retrieval, to operations… 2019-04-19 14:20:44+00:00 Read the full story. Interest Score: 1.8006, Positive Sentiment: 0.4051, Negative Sentiment 0.0675

Build a Data-Driven Culture with a Data Catalog

at isn’t imprinted with cool brand logos. And adults may not like the cultural change that accompanies the effort to become a data-driven enterprise. Recent research addresses this in the context of Big Data and AI. Seventy-seven percent of respondents said that “business adoption” of Big Data and AI initiatives continues to represent a challenge for their organizations. These senior executives believe that technology isn’t the problem—people are. Predominantly standing in the way are cultural challenges (95 percent); only 5 percent relate to technology obstacles. Yet, 71 percent of firms have yet to… 2019-04-17 07:35:10+00:00 Read the full story. Interest Score: 1.7931, Positive Sentiment: 0.2846, Negative Sentiment 0.1138

Microsoft Expands Hadoop on Azure

Microsoft has upgraded its open source analytics services running on Azure with a new version of Hadoop incorporating enhancements of Apache Hive and other open source analytics frameworks. The software giant (NASDAQ: MSFT), which completed its blockbuster acquisition of GitHub last October, continued its push into open source with this week’s release of Hadoop 3.0 on its Azure HDInsight analytics service. The release incorporates upgrades to Hi… 2019-04-16 00:00:00 Read the full story. Interest Score: 1.7838, Positive Sentiment: 0.1049, Negative Sentiment 0.0350

Startup Using AI to Transform the Oil Trade

Artificial intelligence has been making inroads into the oil and gas industry for a while now after the industry realized all the benefits it could reap from the deployment of these technologies. Now, it has begun changing oil and gas trading as well. First of all, it bears noting the term artificial intelligence has developed into an umbrella term for a host of predictive and analytical technologies that are a far cry from the average layman’s idea of AI, that is, machines capable of independent thought. We are not there yet. Yet the technology has advanced sufficiently to begin transforming the oil and gas industry, including the trade of these commodities and products. For now, the space of AI-enabled energy trading providers is relatively empty. One notable recent addition to it was OilX, an oiltech startup that provides traders with real-time oil analytics based on a combination of satellite tracking data and reports from various official organizations, including customs, JODI, and statistics agencies. 2019-04-19 14:00:46+00:00 Read the full story. Interest Score: 1.7756, Positive Sentiment: 0.2267, Negative Sentiment 0.0378

Analyze and adapt: Data pros at 4 Chicago companies discuss how trends influence projects

If you work in tech, you know that data impacts nearly every facet of the industry. But that doesn’t make the concept of ‘working with data’ any clearer. In fact, the role of a data analyst can seem as complex and nuanced as the most labyrinthine data sets. Just who are these people responsible for aggregating, navigating and deciphering highly intricate collections of information? And how do they know that they’re using the correct tools to keep… 2019-04-16 00:00:00 Read the full story. Interest Score: 1.7593, Positive Sentiment: 0.2805, Negative Sentiment 0.0510

Overcoming Data Integration and Governance Challenges

SPECIAL DBTA ROUNDTABLE WEBINAR THURSDAY, JUNE 27 – 11:00 am PT / 2:00 pm ET The proliferation of data sources, types, and stores is increasing the challenge of combining data into meaningful, valuable information. The need for faster and smarter data integration capabilities is growing. At the same time, to deliver business value, people need information they can trust to act on, so balancing governance is absolutely critical nowadays, especial… 2019-06-27 00:00:00 Read the full story. Interest Score: 1.7544, Positive Sentiment: 0.2193, Negative Sentiment 0.6579

SEI Podcast Series: How are advances in data analytics enhancing both the investor and the investment experience?

The amount of data is growing exponentially. According to IDC, there were 16.3 zettabytes of information generated in 2017 alone. In simple terms, if every piece of data were a penny, it would cover the earth’s surface five times over. Against this growing tsunami of data, investment managers and service providers alike are looking for ways to ingest and make sense of it all. To find information that they can translate into insights and turn int… 2019-04-18 00:00:00 Read the full story. Interest Score: 1.7162, Positive Sentiment: 0.2288, Negative Sentiment 0.1144

Baker Hill and Valadis combine technology offering

Baker Hill – a leading provider of technology solutions for common loan origination, risk and relationship management, CECL compliance, and smart data analytics – and Validis – a pioneer of financial data sharing and standardization technology – have entered into a strategic partnership to combine the companies’ industry-leading technology. Through this partnership, Validis’ world-leading financial data sharing and standardization technology platform, DataShare, will integrate with Baker Hill NextGen®, the expert cloud solution for lending, risk managem… 2019-04-18 10:25:00 Read the full story. Interest Score: 1.7066, Positive Sentiment: 0.6298, Negative Sentiment 0.0000

TRADING UP: IEX’s Salmon to BitGo

Trade Informatics (TI) has landed Andrew Shortland as Chief Executive Officer EMEA where he will be responsible for the continued expansion of Trade Informatics’ international client base as well as building a team of data analysts and client service professionals to provide local support to the clients based outside of the US. Prior to joining TI, Shorty was Head of International Equities at Jefferies and helped build the firm’s equities and ECM… 2019-04-15 13:42:56+00:00 Read the full story. Interest Score: 1.6674, Positive Sentiment: 0.0417, Negative Sentiment 0.0278

What’s needed for AI Enterprise Transformation

Artificial intelligence (AI) continues to be one of the most popular technologies among business executives in decades. Increased pressures on financial services organizations is driven in part by investors’ enthusiasm for digital capabilities. This has fueled the need for well-planned transformation strategies to innovate in order to enhance the customer service experience. Early adopters of AI tools such as chatbots for sales, forecasting, functions automation are already benefiting from an increase level of efficiency. 2019-04-16 13:51:04 Read the full story. Interest Score: 1.6447, Positive Sentiment: 0.5731, Negative Sentiment 0.0748

Introduction to Deep Q-Learning for Reinforcement Learning (in Python)

I have always been fascinated with games. The seemingly infinite options available to perform an action under a tight timeline – it’s a thrilling experience. There’s nothing quite like it. So when I read about the incredible algorithms DeepMind was coming up with (like AlphaGo and AlphaStar), I was hooked. I wanted to learn how to make these systems on my own machine. And that led me into the world of deep reinforcement learning (Deep RL). 2019-04-18 04:27:11+00:00 Read the full story. Interest Score: 1.6267, Positive Sentiment: 0.2657, Negative Sentiment 0.1361

What do companies expect from Python devs in 2019?

What do companies expect from Python devs in 2019? Python is everywhere. According to the 2019’s StackOverflow’s Developer Survey, it is the 2nd most loved programming language in the world. Over the past 4 years, Python has constantly been the 3rd most popular language among GitHub contributors. 2019-04-22 14:34:45.678000+00:00 Read the full story. Interest Score: 1.6192, Positive Sentiment: 0.1472, Negative Sentiment 0.0164

Google Officially Opens First AI Centre In Africa; Ghana Base To Be Headed By Moustapha Cisse

Google last week announced the opening of their first ever artificial intelligence centre in Africa. Headed by Moustapha Cisse, the new centre is based in Accra, Ghana. The opening of the research centre was announced last year in June and was set to be a top platform for machine learning researchers and engineers. “Over the past 10 years in which Google has had offices in Africa, we’ve been excited to be a part of that transformation. Ultimately 10 million Africans will benefit from our digital skills training program with 2 million people having already completed the course, and we’re supporting 100,000 developers and over 60 tech startups through our Launchpad Accelerator Africa. We’re also adapting our products to make it easy for people to discover the best of the internet, even on low-RAM smartphones or unstable network connections,” Jeff Dean, Senior Fellow, Google AI and Moustapha Cisse, Staff Research Scientist and Lead of Google AI Center Accra, had said in a statement. 2019-04-15 11:58:50+00:00 Read the full story. Interest Score: 1.6162, Positive Sentiment: 0.3030, Negative Sentiment 0.0505

White House Has Launched ai.gov as Central Resource for AI Efforts

The White House recently launched an ai.gov website to share AI initiatives from the Trump administration and federal U.S. agencies. Featured initiatives include a National Institutes of Health (NIH) biomedical research project using AI and a recent Department of Transportation report on autonomous vehicles. A number of initiatives — some launched during the Trump administration and others during the Obama era — are highlighted on the website, including the Department of Energy’s efforts to create supercomputers and AI Next, DAPRA’s $2 billion investment commitment to solve big AI problems, which was announced last fall. The website launch came a month after the Pentagon released its AI strategy, which will be led by the newly created Joint AI Center. 2019-04-16 14:10:54+00:00 Read the full story. Interest Score: 1.5512, Positive Sentiment: 0.0990, Negative Sentiment 0.0660

Can AI Remove The Risk From EHRs?

When the Obama administration authorized the law that would fund the expansion of electronic health records (EHRs), the idea was that this would transform American healthcare. Records would become readily portable and individuals and their doctors would have easy access to this information when it’s needed most. Instead, a decade later, the US government haspoured over $36 billion into EHR development and adoption and our healthcare system is as fragmented as ever. Many hospitals have even discovered that their systems work so poorly that using EHRs is a hindrance to patient care. It’s a system in crisis. Faced with this issue and with a rapidly changing healthcare system, tech experts are now considering an alternative solution to the EHR problem: artificial intelligence. 2019-04-18 10:49:01+00:00 Read the full story. Interest Score: 1.5462, Positive Sentiment: 0.2706, Negative Sentiment 0.2706

Data Analytics for Startups: What You Need to Know – Dataquest

Data analytics for startups—it sounds so simple. And it’s true that it’s not difficult to collect and analyze data. That’s something most startups are already doing. Getting valuable, actionable insight from your data is a bit more complicated, though. Here are six things to know that will help make the right decisions as you grow and manage your startup. 2019-04-18 14:00:33+00:00 Read the full story. Interest Score: 1.5356, Positive Sentiment: 0.3723, Negative Sentiment 0.1551

ASX set to open higher as markets emerge from Easter holidays

Leading data released recently have confirmed the US economy could be digging out of its soft patch, according to LPL Financial Research. The Conference Board’s Leading Economic Index (LEI) increased 3.1 per cent year over year in March. The LEI, which is composed of 10 leading indicators, has fallen negative year over year before all nine recessions since 1955. Even though LEI growth has slowed recently, its long-term change remains squarely in… 2019-04-22 00:00:00 Read the full story. Interest Score: 1.5266, Positive Sentiment: 0.2472, Negative Sentiment 0.4362

TigerGraph Offers Pay-As-You-Go Service on AWS

TigerGraph, a scalable graph database for the enterprise, is accelerating its cloud strategy by offering its platform as a pay-as-you-go service on Amazon Web Services (AWS). With the launch of the pay-as-you-go offering, customers will be able to enjoy a friction-free experience for using TigerGraph’s fast and powerful graph database, without cumbersome acquisition and deployment processes. 2019-04-17 00:00:00 Read the full story. Interest Score: 1.4911, Positive Sentiment: 0.5126, Negative Sentiment 0.2330

The Rise of the Data Team

Leaks of confidential customer data, whether the result of malicious hacks or corporate missteps, are a growing threat across industries. In the first half of 2018, there were 945 major data breaches globally that exposed more than 4.5 billion records, a 133% increase from the previous year. At the same time, governments around the world are tightening rules around data management. The European Union’s General Data Protection Regulation (GDPR), w… 2019-04-16 00:00:00 Read the full story. Interest Score: 1.4882, Positive Sentiment: 0.2875, Negative Sentiment 0.2537

Women Seen Facing Disproportionately Negative Consequences from AI

Apple’s Siri, Amazon’s Alexa, Netflix’s prediction of your next favorite show—we’re already living with artificial intelligence, and its adoption by the business world will only increase in coming years. We’re already hearing about AI’s potentially disastrous impact on the labor market, but how will these technological tools, designed to augment or replace human cognition, affect women? The first-ever study to map the labor consequences of AI for women, published by the Institute for Women’s Policy Research (IWPR), is a reminder of the intractable stubbornness of gender inequality, despite, or increasingly, because of, the direction of our digital future. 2019-04-16 14:00:26+00:00 Read the full story. Interest Score: 1.4196, Positive Sentiment: 0.2760, Negative Sentiment 0.3549

Don’t Make These Data Science Mistakes in IoT

Data science is tough enough already. Whether you’re looking to act upon data collected from IoT sensors or human generators, don’t make it harder than it has to be by making these three common data science mistakes. Failure, unfortunately, is not unusual when it comes to big data and data science — and it’s even more troublesome when dealing with large amounts of sensor data from the Internet of Things. When you consider the number of organizat… 2019-04-22 00:00:00 Read the full story. Interest Score: 1.3997, Positive Sentiment: 0.1524, Negative Sentiment 0.3465

European AI guidelines give hesitant developers green light

European Commission guidelines on the implementation of artificial intelligence (AI) and machine learning (ML) has given developers a green light and quashed industry hesitancy to experiment with new AI solutions, though care must be taken to limit the data needed to train them, say vendors. “For regulatory compliance in financial crime, we’ve been working with a lot of companies on the application of AI but there has been this hesitancy to move forward because they’re worried about the support from… 2019-04-15 00:00:00 Read the full story. Interest Score: 1.3996, Positive Sentiment: 0.1880, Negative Sentiment 0.2089  

At ASF 2019: The Virtuous Circle of Big Data, AI, and HPC

We’ve entered a new phase in IT — in the world, really — where the combination of big data, artificial intelligence, and high performance computing is pushing the bounds of what’s possible in business and science, in work and play. What new creations this virtuous circle will yield has yet to be seen, but if what we’ve seen up to this point is any indication, it’s bound to impress. When viewed as independent fields, you can see real gains made i… 2019-04-19 00:00:00 Read the full story. Interest Score: 1.3416, Positive Sentiment: 0.2025, Negative Sentiment 0.2911

Routematic’s ML-Powered Routing Paves The Way For Smarter Corporate Commute

One of the most-cited uses for AI is in the traffic space, with route-finding algorithms being able to work with each other to ensure that congestion is reduced across the city. There are also apps that promote carpooling to enable a smaller carbon footprint overall and create a greener city. The adoption of these apps comes mostly from corporate, who have a unique requirement of having to move people regardless of time. This is where solutions… 2019-04-22 04:54:49+00:00 Read the full story. Interest Score: 1.3203, Positive Sentiment: 0.2112, Negative Sentiment 0.1716

Quobyte Plugs TensorFlow Into Scale-Out File System

Quobyte designed its file system with scalability in mind. It also designed it to handle multiple types of files and workload without burdening human administrators with extra complexity. Both of those characteristics are at play with today’s addition of a TensorFlow plug-in for machine learning workloads on the Quobyte Data Center File System. Quobyte is a scale-out file system developed by Björn Kolbeck and his co-founder, Felix Hupfeld, to ad… 2019-04-16 00:00:00 Read the full story. Interest Score: 1.3162, Positive Sentiment: 0.1197, Negative Sentiment 0.1709

TIE Kinetix Presents the FLOW Spring Release

A recent press release reports, “TIE Kinetix, leading provider of Partner Automation solutions, announced today its FLOW Partner Automation “Spring Release 2019”. With the Spring Release, many new features and capabilities are added to the FLOW platform to further optimize and personalize the partner and supplier journey. In the increasingly complex B2B environment, trading and channel partners strongly benefit from a better collaboration and int… 2019-04-22 07:05:20+00:00 Read the full story. Interest Score: 1.3076, Positive Sentiment: 0.5117, Negative Sentiment 0.0000

Artificial Intelligence: A Cybersecurity Solution or the Greatest Risk of All?

Artificial intelligence has, in recent years, developed rapidly, serving as the basis for numerous mainstream applications. From digital assistants to healthcare and from manufacturing to education, AI is widely considered a powerhouse that has yet to unleash its full potential. But in the face of rising cybercrime rates, one question seems especially pertinent: is AI a solution for cybersecurity, or just another threat… 2019-04-15 11:00:00+00:00 Read the full story. Interest Score: 1.3049, Positive Sentiment: 0.3174, Negative Sentiment 0.4585

Is Data Science the Fourth Pillar of the Scientific Method?

Nvidia CEO Jensen Huang revived a decade-old debate last month when he said that modern data science (AI plus HPC) has become the fourth pillar of the scientific method. While some disagree with the notion that statistical analysis alone can reveal undiscovered laws, the argument may be moot if data science continues its current course being an extremely useful and in-demand tool for all manners of scientific discovery. Huang made his statement … 2019-04-15 00:00:00 Read the full story. Interest Score: 1.3010, Positive Sentiment: 0.1035, Negative Sentiment 0.2365

How Machine Vision Keeps The Flavour Of Your Potato Chips Intact

Most of us are familiar with the packaging videos thanks to NatGeo’s mega-factories. The food and beverages industry giants like Pepsico bring over $ 60 billion in revenue per year. To meet the high consumption rate and to maintain the consistency in taste and texture of the product, companies go to great lengths by deploying state-of-the-art tech. Machine learning has been put to use for improving user experience in products like homepods, mobile phones etc. But when it comes to food, there isn’t much room for experimentation, especially for legacy products like pepsi-cola or potato chips. Customers will find out any change in the experience. This unlike other products is more tangible and personal. So, to maintain the consistency, at Pepsico, AI is being used to check the texture of the chips without destroying them. In an interview to a leading online portal on automation technology, Shahmeer Mirza from Pepsico R&D, gave a brief overview of the company deploys AI and ML. Ever since its merger with Frito-Lay, Pepsico has more or less dominated the food and beverages industry. It has grown into a powerhouse that includes brands like Tropicana, Lay’s , Cheetos and Gatorade among many others. 2019-04-22 12:56:13+00:00 Read the full story. Interest Score: 1.2752, Positive Sentiment: 0.1779, Negative Sentiment 0.1483

Democratising Machine learning with H2O

The latest version called H2O-3 is the third incarnation of H2O. H2O uses familiar interfaces like R, Python, Scala, Java, JSON and the Flow notebook/web interface, and works seamlessly with big data technologies like Hadoop and Spark. H2O can easily and quickly derive insights from the data through faster and better predictive modelling. H2O makes it possible to import data from multiple sources and has a fast, Scalable & Distributed Compute Engine Written in Java. Here is a high-level overview of the platform. 2019-04-20 11:39:41.846000+00:00 Read the full story. Interest Score: 1.2399, Positive Sentiment: 0.0670, Negative Sentiment 0.0670

A deeper look at descent algorithms

As we all know, optimization is one of the most important factors in machine learning. Thus it is of our interest to find an algorithm that optimizes functions in a reasonable time. One of the most common algorithms used today is gradient descent. Today, we will take a look at other optimization algorithms and have a theoretical understanding of them. 2019-04-22 15:17:21.146000+00:00 Read the full story. Interest Score: 1.2398, Positive Sentiment: 0.0903, Negative Sentiment 0.0657

Predicting Movie Genres using Multi-Label Classification in NLP

I was intrigued going through this amazing article on building a multi-label image classification model last week. The data scientist in me started exploring possibilities of transforming this idea into a Natural Language Processing (NLP) problem. That article showcases computer vision techniques to predict a movie’s genre. So I had to find a way to convert that problem statement into text-based data. Now, most NLP tutorials look at solving single-label classification challenges (when there’s only one label per observation). But movies are not one-dimensional. One movie can span several genres. Now THAT is a challenge I love to embrace as a data scientist. I extracted a bunch of movie plot summaries and got down to work using this concept of multi-label classification. And the results, even using a simple model, are truly impressive. 2019-04-22 04:27:56+00:00 Read the full story. Interest Score: 1.2376, Positive Sentiment: 0.1315, Negative Sentiment 0.1256

Kurian’s Enterprise Chops Enable New Deals for Google Cloud

Maybe all that was keeping Google Cloud from being a true challenger to Amazon Web Services and Microsoft Azure was to be less like Google and more like Oracle, or even SAP. That’s what it looks like in the wake of the Google Cloud Next conference, and yesterday’s news of former Oracle executive and current Google Cloud CEO Thomas Kurian welcoming the former cloud chief of SAP, Robert Enslin, to Google Cloud. The traditional enterprise software… 2019-04-18 00:00:00 Read the full story. Interest Score: 1.1785, Positive Sentiment: 0.2619, Negative Sentiment 0.1496

EU Unveils Ethics Guidelines for Artificial Intelligence

The European Union has presented ethics guidelines as it seeks to promote its own artificial intelligence sector, which has fallen behind developments in China and the United States. The European Commission, the bloc’s executive arm, unveiled a framework aimed at boosting trust in AI by ensuring, for example, data about EU citizens are not used to harm them. “Ethical AI is a win-win proposition that can become a competitive advantage for Europe: being a leader of human-centric AI that people can tr… 2019-04-16 14:45:59+00:00 Read the full story. Interest Score: 1.1662, Positive Sentiment: 0.3207, Negative Sentiment 0.3207

Big Data: Replacing the Vs with a Single D

I can remember the first time people started to talk about “Big Data”. It may be a hackneyed phrase today, but some years ago it took the world of BI and analytics by storm. What then ensued was a mad frenzy to come up with a good definition that encapsulated what was meant by the term. Somehow the expression was meant to symbolize more than data that was big. So, cue the onset of creative people and the letter V. Folks started with the now much overused volume, velocity and variety, but then others set about adding to the list, coming up with a whole host of other v-words, including veracity, visualization, value, variability and so on. 2019-04-19 07:30:46+00:00 Read the full story. Interest Score: 1.1650, Positive Sentiment: 0.1664, Negative Sentiment 0.0713

Oracle News & Updates – April 17, 2019

Oracle Experience Autonomous LevelUp Workshop Scottsdale | Oracle OfficeApril 23, 2019 | 9:00 AM – 1:00 PMOracle Office – SkySong 3 Building 1365 N Scottsdale Road Scottsdale, AZ 85257 Data drives everything we do today. The volume of data is expected to double every year, making your job even more complex. How can you rapidly turn data into business insights, accelerate the launch of new applications or features, and drastically reduce database… 2019-04-17 00:00:00 Read the full story. Interest Score: 1.1424, Positive Sentiment: 0.3207, Negative Sentiment 0.0601

Feds Working on Ways To Protect AI Training Data from Malicious Tampering

The intelligence community’s advanced research agency has laid the groundwork for two programs focused on ways to overcome adversarial machine learning and prevent adversaries from using artificial intelligence tools against users. Stacey Dixon, director of the Intelligence Advanced Research Projects Activity (IARPA), said the agency expects both programs to run for about two years. “We appreciate the fact that AI is going to be in a lot more things in our life, and we’re going to be relying on it a lot more, so we would want to be able to tak… 2019-04-19 14:10:32+00:00 Read the full story. Interest Score: 1.1213, Positive Sentiment: 0.1201, Negative Sentiment 0.2002

7 women in Chicago tech discuss the city’s culture of inclusivity

As Chicago’s tech industry grows stronger each year, so too do the efforts to make sure it’s a more inclusive space for all people interested in working in it. In what was once a male-dominated field, the tides are changing as a wave of inter-company diversity initiatives and community-based, women-focused programs wash over the world of tech. One tech mecca at the forefront of this progressive movement is Chicago. We heard from women at seven l… 2019-04-22 00:00:00 Read the full story. Interest Score: 1.0957, Positive Sentiment: 0.5331, Negative Sentiment 0.0222

OmniSci Extends Its GPU-accelerated Analytics Offering To Microsoft Azure Cloud

A recent press release reports, “OmniSci, the pioneer in GPU-accelerated analytics, today announced the availability of its big data analytics platform on the Microsoft Azure Marketplace. Effective today, subscribers can use their OmniSci license on Azure to create a cloud-based data analytics solution capable of querying and visualizing billions of rows of data with millisecond-level response times. ‘OmniSci is dedicated to making analytics instant, powerful and effortless for everyone. Extending our platform to Microsoft Azu… 2019-04-19 07:15:28+00:00 Read the full story. Interest Score: 1.0923, Positive Sentiment: 0.2731, Negative Sentiment 0.0000

From finance firms to factories — technology powers industry innovation

Recently, I joined a ribbon-cutting at the new Bank of America location on Microsoft’s campus in Redmond, Washington. The financial center is a great example of co-innovation with our customers. It features some test technology only available at this location, like a holographic greeter, with capabilities in English, Spanish and American Sign Language. The bank’s associates are equipped with Surface Pros to help stay connected and deliver custome… 2019-04-22 00:00:00 Read the full story. Interest Score: 1.0780, Positive Sentiment: 0.4200, Negative Sentiment 0.1260

How the digital consulting teams at Productive Edge help companies stay ahead of the curve

The world has gone digital, but not every company has the power or capabilities to keep up with the latest in machine learning, data analytics or wearable devices. That’s where Productive Edge comes in. Experts on the consulting company’s digital consulting teams work with clients across every industry to integrate the latest in tech. The team at Productive Edge has developed machine learning tools to help pharmacies automate prescription instructions, worked with farmers to infuse data pipelines to boost crop yield, cr… 2019-04-17 00:00:00 Read the full story. Interest Score: 1.0469, Positive Sentiment: 0.3453, Negative Sentiment 0.0891

Cloud Computing Challenges: Navigating the Multi-Cloud Landscape

Public clouds have become popular as a solution for many data-driven projects around Big Data, Business Intelligence and Analytics, as well as specialized projects, such as Machine Learning and AI. Cloud providers normally offer significant scalability and advantageous, user-friendly tools. Migration to the cloud is considered to be cost-effective, making it an excellent choice for businesses and organizations of all sizes. However, the use of public clouds come with a number of challenge… 2019-04-18 07:35:14+00:00 Read the full story. Interest Score: 1.0457, Positive Sentiment: 0.2780, Negative Sentiment 0.2250

Cazena Launches New Release of Big Data as a Service with Advanced Security, DevOps Automation

According to a recent press release, “Cazena announced it has been awarded a U.S. patent for “Intelligent Analytic Cloud Provisioning,” providing a framework to iteratively provision cloud resources to achieve optimal cost for performance for analytic workloads. This ensures that enterprises get the best performance for any workload and helps manage costs. The company also announced several industry-first capabilities that are now available in th… 2019-04-22 07:15:01+00:00 Read the full story. Interest Score: 1.0453, Positive Sentiment: 0.1493, Negative Sentiment 0.1991

Want to Play ‘Dota 2’ Against an A.I. Bot? Now’s Your Chance.

Do you have what it takes to beat an artificial intelligence (A.I.) construct at its own game? Now’s your chance: OpenAI, the sorta-non-profit devoted to creating “safe” A.I., is opening up registrations to challenge OpenAI Five, its platform that can play the online game “Dota 2.” OpenAI is already capable of competing against (and beating) some of the best human players of “Dota 2,” so if you can’t play the game on that level, chances are pretty good that it will vaporize you in the name of perfecting A.I. For those who’ve never played the game, it’s an arena battler that tasks players with defending portions of a map while launching raids into the enemy’s territory. In other words, there are multiple variables to juggle during every game, resulting in complexity that makes it an ideal test-bed for artificial intelligence and machine learning. Valve, which created “Dota 2,” has boasted in the past that the game is very good at “competitive balance,” which in theory gives no player an outsized competitive advantage. 2019-04-18 00:00:00 Read the full story. Interest Score: 1.0417, Positive Sentiment: 0.2155, Negative Sentiment 0.1796

Opinion | A C.E.O.’s Plea: Don’t Mess With the Census

Among others who agree with us are the Association of National Advertisers, the American Association of Advertising Agencies, Advertising Research Foundation and Interactive Advertising Bureau. The advertising industry and many other businesses depend on census data to make strategic and operations decisions, as they plan what to make, who to make it for, where to market it, where to sell it and how to adapt to the nation’s changing demographics… 2019-04-22 00:00:00 Read the full story. Interest Score: 1.0417, Positive Sentiment: 0.0579, Negative Sentiment 0.2894

Learn now, rather than later – Cuemacro

I visited Paris several months ago before Christmas. I had been there many times. Despite that, I had never visited Notre-Dame. There was always some excuse why I hadn’t gone. Too far. Too near. Takes time. And so on. However, finally on this last trip I did take the time to visit. It was truly impressive to see it in person, and to marvel at the workmanship and skill of the medieval stonemasons who built it, as well as the later additions in the… 2019-04-19 00:00:00 Read the full story. Interest Score: 1.0303, Positive Sentiment: 0.2810, Negative Sentiment 0.2498

Using Oracle Enterprise Manager Data for Machine Learning

Machine learning can be used for a variety of roles such as troubleshooting, capacity planning, and performance analysis. Businesses can use machine learning to understand seasonality for trending and forecasting capabilities or view dashboards on data already collected. In a recent DBTA webinar with Courtney Llamas, architect, strategic customer program systems management & security, and Timothy Mooney, direct… 2019-05-01 00:00:00 Read the full story. Interest Score: 1.0140, Positive Sentiment: 0.0966, Negative Sentiment 0.5794

Not so fast, InsurTech- long-tailed and unique claims are the Kryptonite to your innovation super power

Nothing to fear, InsurTech Man! It’s just a busy claim! Artificial intelligence, machine learning, data analysis, ecosystem insurance purchases, online claim handling, application-based insurance policies, claim handling in seconds, and so on. There’s even instant parametric travel cover that reimburses costs- immediately- when one’s planned air flight is delayed. There are clever new risk assessment tools that are derived from black box algorithms, but you know what? Those risk data are bett… 2019-04-18 00:00:00 Read the full story. Interest Score: 0.9978, Positive Sentiment: 0.2829, Negative Sentiment 0.4468

OutSystems Joins Forces with the Manufacturing Technology Centre to Accelerate the UK’s Industrial Growth

Membership in innovation hub enables OutSystems to drive low-code adoption in manufacturing sector OutSystems, provider of the number one low-code platform for rapid application development, today announced that it has joined the Manufacturing Technology Centre (MTC), enabling it to deliver cutting-edge innovation through its low-code application development platform to the UK’s biggest manufacturers. The MTC is an innovation hub that devel… 2019-04-17 00:00:00 Read the full story. Interest Score: 0.9972, Positive Sentiment: 0.7671, Negative Sentiment 0.0767

Robots may take your role but not your job, say UK manufacturers

Artificial intelligence will eliminate low-skilled roles in a third of manufacturing businesses over the next five years – but it will not necessarily eliminate human workers. New research by Make UK, which represents the sector, said that although companies expect technological advances to make jobs redundant, the majority of businesses want to retain displaced staff. The trade body found that 58pc of its members sur… 2019-04-21 00:00:00 Read the full story. Interest Score: 0.9915, Positive Sentiment: 0.2833, Negative Sentiment 0.1416

3 in 4 APAC banks believe fraud will increase in 2019

Almost three in four banks in Asia Pacific anticipate that fraud in their country will increase in 2019, according to a recent poll by FICO. FICO surveyed 50 executives from financial institutions across the region at the annual FICO Asia Pacific Fraud Forum held in Bali, Indonesia. Of specific concern are transactions completed when neither the card nor the cardholder is physically present (card-not-present or CNP fraud), as well as cards taken… 2019-04-16 06:33:31+00:00 Read the full story. Interest Score: 0.9912, Positive Sentiment: 0.2027, Negative Sentiment 0.8560

Innovative Brands Use Big Data to Improve Sticker Branding

We have noticed a trend in big data journalism. Topics that receive the most attention aren’t necessarily those that deserve it the most. This is especially applicable when it comes to articles covering the intersection between big data and marketing. There is a strong case to be made that big data is having a tremendous impact on sticker marketing and other forms of offline branding. Those topics rarely get sufficient attention. T… 2019-04-18 21:40:59+00:00 Read the full story. Interest Score: 0.9774, Positive Sentiment: 0.3869, Negative Sentiment 0.1425

Data Analytics Optimizes Shipping through KPI Tracking

Big data is affecting every element of logistics in the economy. One facet of modern business that doesn’t get as much attention as it should is shipping, even though big data is having a profound impact on its future. Last June, a paper prepared by Paterson Simmons showed that big data is a driving force behind the shipping industry. According to the paper, 81% of respondents recognized that big data wa… 2019-04-18 21:27:50+00:00 Read the full story. Interest Score: 0.9754, Positive Sentiment: 0.2859, Negative Sentiment 0.6559

The Impact Of AI On Cybersecurity: Are Humans Still Your Best Asset?

In January, Masergy predicted that 2019 will be “The Year of Artificial Intelligence.” There’s no question that the term is popping up everywhere as enterprises yearn to turn big data into a competitive edge. The same goes for cybersecurity. Everyone wants to leverage machine learning, behavior analytics, and AI so IT teams can “up the ante” against attackers. But have we arrived at true security automation yet? What role are emerging technologies playing in security today, and… 2019-04-18 14:40:34+00:00 Read the full story. Interest Score: 0.9613, Positive Sentiment: 0.3344, Negative Sentiment 0.3762

Linear programming and discrete optimization with Python using PuLP

However, there are some restrictions in terms of budget and the variety of food that needs to be in the diet to make it interesting. The following table shows, in detail, the complete nutritional value for each food item, and their maximum/minimum daily intake. Suppose you are in charge of the diet plan for high school lunch . Your job is to make sure that the students get the right balance of nutrition from the chosen food. There are many exce… 2019-04-20 00:24:45.409000+00:00 Read the full story. Interest Score: 0.9479, Positive Sentiment: 0.1299, Negative Sentiment 0.4128

Qualcomm joins Tencent and Vivo on new AI initiative for mobile gaming

As smartphones become more powerful, they’ll be able to offer better artificial intelligence performance for gaming and other applications. Qualcomm wants to make sure that it stays at the bleeding edge of AI mobile technology, so the chipmaker is working with Tencent and Vivo on a new initiative called Project Imagination. The companies announced their joint partnership earlier today during Qualcomm AI Day in Shenzhen, China. According to a press release, Project Imagination is meant t… 2019-04-19 00:00:00 Read the full story. Interest Score: 0.9350, Positive Sentiment: 0.5143, Negative Sentiment 0.0468

Experts Reveal Data Science Behind Five Popular Android Apps

Big data is playing a massive role in the formation of new technologies. New developments in data science have contributed to the release of a number of popular Android apps on the market. To the average Android user, big data is an invisible factor. However, it is the foundation of almost every app on their phone. It is important to evaluate its significance. How Big Data Made Many Android Apps Possible… 2019-04-20 20:59:59+00:00 Read the full story. Interest Score: 0.9037, Positive Sentiment: 0.4699, Negative Sentiment 0.0723

Apple’s AWS Spending Highlights the Strengths of Cloud Giants — Tech Check

Apple’s AWS Spending Highlights the Strengths of Big 3 Cloud Giants CNBC reports that Apple (AAPL) is spending more than $30 million per month on Amazon Web Services (AWS), after having spent about $350 million on Amazon.com’s (AMZN) public cloud in 2018. Apple is also known to be using Alphabet’s (GOOGL) Google Cloud Platform (GCP), and at least for a while was using Microsoft’s Azure platform. Apple is willing to use cloud infrastructures own… 2019-04-22 14:02:22-04:00 Read the full story. Interest Score: 0.8480, Positive Sentiment: 0.1740, Negative Sentiment 0.1957

Braingrid adds two members to its customer solutions team

Braingrid Limited ( ) announced a pair of new additions to its commercial team on Tuesday. Marc Sidhom joined the precision agriculture company as director of sales and marketing, and Mariam Bastawrous was named head of sales. Both have been in their roles since March. Shares grew 8.7% to $0.13 in midday trading. Sidhom is an entrepreneur with international sales, marketing and operations experience. His entrepreneurship and knowledge of sales… 2019-04-16 00:00:00 Read the full story. Interest Score: 0.8357, Positive Sentiment: 0.0000, Negative Sentiment 0.0000

EPIC Alleges Google May Be Helping U.S. Government Conduct Warrantless Searches

One of the core underpinnings of U.S. society is that all individuals are protected from unlawful search and seize of their private property. This concept is enshrined in the Fourth Amendment to the U.S. Constitution, which specifically requires law enforcement officials to obtain a warrant from a court in order to conduct a search of any private property. For that reason, it’s especially troubling that Silicon Valley search giant Google may be i… 2019-04-18 22:00:00+00:00 Read the full story. Interest Score: 0.8311, Positive Sentiment: 0.1433, Negative Sentiment 0.3869

Tutorial: Text Classification in Python Using spaCy – Dataquest

Tutorial: Text Classification in Python Using spaCy Text is an extremely rich source of information. Each minute, people send hundreds of millions of new emails and text messages. There’s a veritable mountain of text data waiting to be mined for insights. But data scientists who want to glean meaning from all of that text data face a challenge: it is difficult to analyze and process because it exists in unstructured form. In this tutorial, we’l… 2019-04-16 13:40:26+00:00 Read the full story. Interest Score: 0.8166, Positive Sentiment: 0.0706, Negative Sentiment 0.2091

IBM Storwize: New Innovations for Midmarket, Channel

Continual evolution is the foundational truth underlying tech industry chestnuts such as Moore’s Law, and it provides the subtext for innumerable marketing and promotional campaigns. In fact, it’s one of IT’s biggest selling points. But a valuable, if less-discussed, point to consider is the top-down nature of how this evolution usually proceeds. Building new products costs lots of money, especially when it comes to business IT. So it’s no surpr… 2019-04-17 00:00:00 Read the full story. Interest Score: 0.7950, Positive Sentiment: 0.2067, Negative Sentiment 0.0318

TED just raised $280 million for 8 world-changing projects

Last year, TED announced the Audacious Project : a massive philanthropic effort to fund projects tackling specific but pernicious issues across the globe. According to Chris Anderson, the head of TED, the Audacious Project “came out of people in the TED community saying, ‘Do more, turn ideas into action.’” TED is now a nonprofit with an annual revenue of over $66 million; its annual conference costs thousands to attend, and draws attendees from t… 2019-04-16 20:00:50 Read the full story. Interest Score: 0.7868, Positive Sentiment: 0.0749, Negative Sentiment 0.1499

Jim Cramer: Want a Snapshot of the Economy? Look at the Rails

You want some outside the box thinking? Then go to the amazing conference call of the giant railroad that is CSX (CSX) and learn what’s working in the first quarter and would could continue to work for the rest of the year First, some background. I have longed praised the rails as the single best way of getting a snapshot of the economy. Many people rely on government data, such as information from the Commerce Department or the Fed. I have alw… 2019-04-17 15:39:45-04:00 Read the full story. Interest Score: 0.7689, Positive Sentiment: 0.2647, Negative Sentiment 0.1513

Revenge Of The Nerds? Marketing Ops Takes The Stage

During the SiriusDecisions 2019 Summit (May 5–8, Austin, Texas), I will join Sirius Research Director and new colleague Jeff Clark in presenting the Future Vision session on marketing operations. Here’s why I’m so excited about it: Marketing operations professionals haven’t exactly been sitting at the cool kids’ table throughout the last decade. For much of that time, they have been associated with assembling landing pages, building reports, and… 2019-04-19 09:59:35-04:00 Read the full story. Interest Score: 0.7678, Positive Sentiment: 0.4517, Negative Sentiment 0.2710

Here’s How Big Data And Business Card Marketing Go Together

Many people believe that digital media is rapidly replacing traditional forms of branding. They believe that advances in big data have made business cards, brochures and direct mail marketing obsolete. Nothing could be further from the truth. We previously published an article on the state of direct mail marketing. We showed that marketers are actually using big data to improve the performance of their direct mail marketing campaigns. We can draw a similar conclusion about the relevance of business cards in 2019. Online m… 2019-04-20 20:47:20+00:00 Read the full story. Interest Score: 0.7070, Positive Sentiment: 0.2509, Negative Sentiment 0.2052

We got a look at the pitch decks that buzzy $40 million startup HealthJoy used to snag early investors and then execute a huge strategic shift

Five years ago, a new startup pinned its future on the landmark healthcare law, the Affordable Care Act. Millions of people were gaining health insurance through the law, which is often called Obamacare. Doug Morse-Schindler and Justin Holland, cofounders of HealthJoy, were sure that that those people would need help navigating their new plans, which often required patients to pay thousands of dollars for procedures and prescriptions. HealthJoy… 2019-04-22 00:00:00 Read the full story. Interest Score: 0.7047, Positive Sentiment: 0.1701, Negative Sentiment 0.0972

Giving Generative Art Its Due

I have long dreamed of attending an art exhibition that presented the full range of generative art starting with early analog works of the late 1950s and ranging all the way up to new AI work we have seen in just the last few years. To my knowledge, no such show has ever existed. Just to attend such a show would be a dream come true for me. So when the Kate Vass galerie proposed that I co-curate a show on the history of generative art, I thought I had died and gone to heaven. While I love early generative art, especially artists like Vera Molnar and Frieder Nake, my passion is really centered around contemporary generative art. So pairing up with my good friend Georg Bak, expert in early generative photography, was the perfect match. Georg brings an unmatched passion and detailed understanding of early generative art that firmly plants this show in a deep and rich tradition that many have yet to learn about. Interest Score: 0.7019, Positive Sentiment: 0.2340, Negative Sentiment 0.1404    
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