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AI & Machine Learning News. 25, March 2019

Nvidia AI turns sketches into photorealistic landscapes in seconds

Today at Nvidia GTC 2019, the company unveiled a stunning image creator. Using generative adversarial networks, users of the software are with just a few clicks able to sketch images that are nearly photorealistic. The software will instantly turn a couple of lines into a gorgeous mountaintop sunset. This is MS Paint for the AI age.

Called GauGAN, the software is just a demonstration of what’s possible with Nvidia’s neural network platforms. It’s designed to compile an image how a human would paint, with the goal being to take a sketch and turn it into a photorealistic photo in seconds. In an early demo, it seems to work as advertised.

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CloudQuant Thoughts… Nvidia’s GPU Technology Conference was held last week in San Jose so obviously Nvidia related news items dominated this week. Still, you cannot argue with the impressive strides being made by Nvidia in AI and graphics, ML workstations built using Nvidia chipsets and consequent drop down of features to beginners and low level users with Nvidia chipsets in their own machines.

 

A Street-Level View Of Neighborhood Change (Science Friday Podcast – 11m)

Gentrification happens when a previously low-income or working class neighborhood sees an influx of well-off new residents. Rents go up, new development sets in, and the neighborhood’s original residents may be displaced by those with more money. Cities who can recognize gentrification in progress can take steps to prevent displacement and funnel resources, or even slow the neighborhood’s changes directly. But while a new yoga studio or fancy coffee shop may be one obvious sign of rising rents, there are earlier indications that might help cities fend off some of the side effects sooner—building improvements like new siding, landscaping, and more go markedly up as new money arrives.

A research team at the University of Ottawa describes one new tool in the toolkit: they turned to Google’s Street View, and taught an AI system to recognize when an individual house had been upgraded. Putting those upgrades on a map revealed not just areas the researchers already knew were gentrifying, but also other pockets where the process had begun unnoticed. Michael Sawada, a professor of geography, environment, and geomatics at the University of Ottawa, explains the big data approach to catching gentrification in action.
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CloudQuant Thoughts… Incredibly impressive usage of modern alternative data and machine learning to answer a modern question in incredible detail. It is only a pity that, as mentioned in the podcast, Google recently decreased the number of free streetview images from 25k per day to 25k free per month.

 

Preventing bias in ML models, with code

With all the tools democratizing machine learning these days, it’s easier than ever to build high accuracy machine learning models. But even if you build a model yourself using an open source framework like TensorFlow or Scikit Learn, it’s still mostly a black box – it’s hard to know exactly why your model made the prediction it did. As model builders, we’re responsible for the predictions generated by our models and being able to explain these …
2019-03-24 00:00:00 Read the full story.
Interest Score: 1.4582, Positive Sentiment: 0.3377, Negative Sentiment 0.0844

CloudQuant Thoughts… A nice short blog post, step by step code examples, not tied to any particular data type, a very nice demonstration of avoiding bias.

 

Deadline Looms for Alt Data Skeptics

Portfolio managers have not missed the bus regarding incorporating alternative data into their investment strategies, but it is leaving soon, according to the experts. Skeptics may think that it is too late since everyone is already using it and seeing the same signals, according to Olga Kokareva, head of data sourcing and strategy at Quantstellation and who spoke recently at an industry panel. “It’s going to be too late because if you don’t use it …you will not be able to compete with everyone who is,” she noted.

For the past several years many in the industry have defined alternative data as non-traditional data that can help detect trading signals. However alternative data can be viewed as new data that has never been available previously, such as online sentiment data, logistics data from package-delivery firms, or point-of-sale data. Other alternative data sets could be existing data that analysts view in a new way.
2019-03-19 19:00:54+00:00 Read the full story.
Interest Score: 1.8293, Positive Sentiment: 0.2033, Negative Sentiment 0.1161
CloudQuant Thoughts… Alternative datasets are available in CloudQuant and ready to use. We are not scanning satellite images of car parks just yet but we have many of the most powerful Alt datasets available. Head over to CloudQuant.com and try your hand at using these datasets to create profitable trading algos.

 

Finding the right model parameters

If you’ve been reading about Data Science and/or Machine Learning, you must have come across articles and projects that work with MNIST dataset. The dataset includes a set of 70,000 images where each image is a handwritten digit from 0 to 9. I also decided to use the same dataset to understand how fine tuning the Machine Learning model parameters can create a difference.

This article explains how I used GridSearchCV to find the best fit parameters for this dataset and used them to increase the accuracy and improve the confusion matrix. You can find the code in the GitHub repository below.
2019-03-25 01:00:19.926000+00:00 Read the full story.
Interest Score: 1.2226, Positive Sentiment: 0.2038, Negative Sentiment 0.0509

CloudQuant Thoughts… Karan ably demonstrates how to use sklearn library’s GridSearchCV feature to identify the best estimator from a range of values. ML is going to get more and more streamlined as time passes.

 


The Actual Difference Between Statistics and Machine Learning

No, they are not the same. If machine learning is just glorified statistics, then architecture is just glorified sand-castle construction.

I am, to be quite honest, tired of hearing this debate reiterated on social media and within my University on a near-daily basis. Usually, this is accompanied by somewhat vague statements to explain away the issue. Both sides are guilty of doing this. I hope that by the end of this article you will have a more informed position on these somewhat vague terms.
2019-03-24 23:39:28.504000+00:00 Read the full story.
Interest Score: 1.5375, Positive Sentiment: 0.0775, Negative Sentiment 0.1292

How Walmart Uses GPUs for Better Demand Forecasting

During a presentation at Nvidia’s GPU Technology Conference (GTC) this week, the director of data science for Walmart Labs shared how the company’s new GPU-based demand forecasting model achieved a 1.7% increase in forecast accuracy compared to the existing approach.

The technology lab for the world’s largest company was pitted against an existing demand forecasting system that was developed by JDA Software. That system was no slouch, but Walmart’s internal developers say they have come up with a better approach to predict demand for 100,000 different products carried at each of the company’s 4,700 or so stores in the United States.
2019-03-22 00:00:00 Read the full story.
Interest Score: 1.4004, Positive Sentiment: 0.2244, Negative Sentiment 0.2244

AI is unlocking a booming warehouse automation market

Warehouse and logistics robots will be a $30 billion dollar industry by 2022, according to American analysts, who forecast the current $8.3 billion of worldwide revenue from the the technology will more than triple over the next three years. Locally, Gartner says the expected automation boom is the result of artificial intelligence providing automated processes with the flexibility and scalability to make it more viable and realistic for new industries, including retail.

“Whilst it sounds really cool and it sounds really robotic driven, it’s actually driven by AI computer vision: the ability to rapidly assess and utilise vision to determine ‘ok, I am reading this, this is what I’m looking for, ok there’s the item and it’s not perfectly positioned’. It’s something which they are then able to reach out and pick up the item, specifically.”
2019-03-25 00:15:08+11:00 Read the full story.
Interest Score: 1.1180, Positive Sentiment: 0.3422, Negative Sentiment 0.1141

FTSE Russell To Launch Indicative Digital Assets Index

New indicative index designed to test and evaluate a benchmark for Digital Assets Market will help increase awareness and transparency of Digital Assets Market. VWAP pricing available on 100 most actively traded digital assets. Only vetted digital exchanges used and pricing quality screens applied. Index produced in association with DAR Data Services (DAR)

FTSE Russell, the global index, analytics and data provider, in association with DAR Data Services (DAR), have announced their intention to launch a new indicative FTSE Digital Assets Index. The indicative index will be used to evaluate and test a benchmark for the most actively traded digital assets. It will also help assist in the establishment of new industry standards for the digital assets market, in consultation with market participants.
2019-03-22 09:11:10+00:00 Read the full story.
Interest Score: 2.5939, Positive Sentiment: 0.1936, Negative Sentiment 0.0387

RAPIDS Momentum Builds with Analytics, Cloud Backing

Nvidia’s RAPIDS data science libraries picked up additional support this week from a roster of cloud, server and workstation vendors along with professional services giant Accenture.

Nvidia also announced that Apache Spark creator Databricks will integrate RAPIDS into its analytics platform. These and other integrations are aimed at data scientists using RAPIDS and other machine learning languages. Databricks said RAPIDS open-source software packages can be installed on its runtime for Nvidia GPUs used to accelerate machine learning development.
2019-03-19 00:00:00 Read the full story.
Interest Score: 2.1080, Positive Sentiment: 0.0639, Negative Sentiment 0.0319

Rockset Cranks Up Serverless Analytics Engine

Cloud-based serverless data preparation tools are gaining traction among data analysts seeking to move beyond traditional approaches to organizing low-quality but potentially valuable data. That approach promises to provide data scientists with an alternative to standard ETL routines developed to plumb data warehouses.

The serverless analytics segment is evolving with new search and analytics tools that aim to reduce the time needed to organize …
2019-03-20 00:00:00 Read the full story.
Interest Score: 2.1078, Positive Sentiment: 0.0691, Negative Sentiment 0.1037

H2O.ai Accelerates Automatic Machine Learning with New Data Science Workstations

A recent press release states, “H2O.ai, the open source leader in AI and Machine Learning, today announced that H2O Driverless AI, the award-winning automatic machine learning platform, and H2O4GPU, the open source GPU-accelerated machine learning package, are now optimized for the new NVIDIA-powered Data Science Workstations with NVIDIA Quadro RTX GPUs and NVIDIA CUDA-X AI acceleration libraries. H2O.ai also announced it will integrate NVIDIA RAPIDS to take advantage of its GPU-optim…
2019-03-25 07:05:49+00:00 Read the full story.
Interest Score: 2.0484, Positive Sentiment: 0.5587, Negative Sentiment 0.0621

The 5 most in-demand Artificial Intelligence skills

The use of technology is increasing day after day and so are the methods being advanced to reach the increasing demand. Today, we have come to a point where digital channels are becoming the norm, providing the brain with all the senses and limbs it needs. A typical Artificial Intelligence perceives its environment and takes actions that maximize its chance of successfully achieving its goals. Artificial Intelligence has the potential to vastly change the way that humans interact with the digital world and in the near future, its impact is likely to grow further. One such example of human-like task automation techniques is the Robotic Process Automation (RPA). Hence, Artificial Intelligence is a field with an assured future for growth.

Here are a few skills that one needs to adapt to, to survive in the field of AI:

  1. Machine learning
  2. Python
  3. Java
  4. Data Science
  5. R

2019-03-20 09:56:55+00:00 Read the full story.
Interest Score: 2.0279, Positive Sentiment: 0.2817, Negative Sentiment 0.1127

 

New Data Science Platforms Highlight NVIDIA’s GPU Conference

This week graphics processing unit market leader, NVIDIA, is holding its annual GPU Technology Conference (GTC) in San Jose. What was once a niche show dedicated to video-game graphics has exploded into a massive artificial intelligence conference as the GPU has become a key technology in that field. NVIDIA has had a great run over the past few years as the GPU has risen in importance. What sets NVIDIA apart is that it’s always tried to make it easy for customers to consume their processors. For example, its CUDA software makes it easy for developers to write applications that leverage the GPU.

Every GTC is filled with a good amount of news, and this one was no different. The big news for IT professionals revolves around new platforms optimized for data scientists. The field of data sciences used to be a niche resume line that job candidates used for verticals such as life sciences and mining. Today, the number of data scientists has exploded and is instrumental in helping almost every vertical digital transform. The demand for data scientists is expected to continue to increase and remains one of the hottest areas of education today.
2019-03-25 00:00:00 Read the full story.
Interest Score: 1.8219, Positive Sentiment: 0.1763, Negative Sentiment 0.0441

TigerGraph Brings Together Pattern Matching And Efficient Graph Computation

According to a recent press release, “TigerGraph, the only scalable graph database for the enterprise, today introduced its latest release, TigerGraph 2.4. The new technology combines graph pattern matching with real-time deep link analytics — a unique mix ideal for fraud and money laundering detection, security analytics, personalized recommendation engines, artificial intelligence and machine learning. The new release makes it easier than ever for enterprises to use deep computational analytics to gain insights from data. Pattern matching has been around for a long time, but business insights from the technique have been constrained by two problems: difficulty in scaling the computational requirements for large datasets and an inability to do deep link analytics, which requires going more than three hops or levels deep into the dataset.”
2019-03-25 07:10:48+00:00 Read the full story.
Interest Score: 1.8201, Positive Sentiment: 0.2677, Negative Sentiment 0.3212

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

What’s Behind SAS’s $1-Billion AI Investment

SAS’s announcement last week that it plans to invest $1 billion in artificial intelligence over the next three years may have taken some by surprise. The Cary, North Carolina company, after all, is the standard-bearer for the previous age of business analytics. But SAS refuses to cede ground to the new generation of AI startups, and has big plans to integrate AI with its proven analytical approach.

Behind the leadership of co-founder and CEO Jim…
2019-03-25 00:00:00 Read the full story.
Interest Score: 1.7527, Positive Sentiment: 0.1788, Negative Sentiment 0.1073

Nvidia Sees Green in Data Science Workloads

We already knew that GPUs are useful for lots of things besides making Fortnite uncomfortably realistic. All the biggest supercomputers in the world use GPUs to accelerate math, and more recently they’ve been used to power deep neural networks in public clouds. But judging from Nvidia’s GPU Technology Conference being held this week in San Jose, Nvidia sees GPUs and the entire GPU ecosystem as fertile ground for growing a much broader range of data science activities.
2019-03-19 00:00:00 Read the full story.
Interest Score: 1.7302, Positive Sentiment: 0.1680, Negative Sentiment 0.1344

The Cognitive Intersect of Human and Artificial Intelligence

Neuroscience and artificial intelligence (AI) are two very different scientific disciplines. Neuroscience traces back to ancient civilizations, and AI is a decidedly modern phenomenon. Neuroscience branches from biology, whereas AI branches from computer science. At a cursory glance, it would seem that a branch of science of living systems would have little in common with one that springs from inanimate machines wholly created by humans. Yet disc…
2019-03-19 14:20:41+00:00 Read the full story.
Interest Score: 1.6908, Positive Sentiment: 0.1503, Negative Sentiment 0.0564

What’s Ahead in Big Data and Analytics

SPECIAL DBTA ROUNDTABLE WEBINAR THURSDAY, DECEMBER 12 – 11:00 am PT / 2:00 pm ET

From data lakes and the cloud, to machine learning and artificial intelligence, the world of big data and analytics continues to evolve rapidly. The demand for fast access to information through better self-service capabilities is growing. At the same time, the need for improved governance and security practices is also intensifying. In response, leading organizations are turning to innovative new technologies and strategies to reinforce their analytics ecosystems with grea…
2019-12-12 00:00:00 Read the full story.
Interest Score: 1.6693, Positive Sentiment: 0.7154, Negative Sentiment 0.1590

Taking Your Data Lake to the Next Level

SPECIAL DBTA ROUNDTABLE WEBINAR THURSDAY, MARCH 28 – 11:00 am PT / 2:00 pm ET

Data lake adoption is on the rise. Right now, 38% of DBTA subscribers have data lakes deployed to support data science, data discovery and real-time analytics initiatives, and another 20% are considering adoption. Today, most data lakes are on-premises. However, the cloud is becoming an increasingly attractive location as well. While data lakes have evolved and matured over the past few years of enterprise use, many challenges still exist. Data governance, security, integration and the ability to easily access an…
2019-03-28 00:00:00 Read the full story.
Interest Score: 1.6551, Positive Sentiment: 0.2613, Negative Sentiment 0.1742

Buy Side Frustrated With Fixed Income TCA

More than half of asset managers have seen no improvements in transaction cost analysis in fixed income despite more data being reported under MiFID II.

A survey from Liquidnet University, Alpha in Execution: Fixed Income Trading, found that 56% of respondents have not seen any improvements in TCA since MiFID II went live in the European Union at the start of 2018. Liquidnet, the institutional investor block trading network, interviewed 37 firms…
2019-03-18 17:22:08+00:00 Read the full story.
Interest Score: 1.5567, Positive Sentiment: 0.5043, Negative Sentiment 0.2631

Datapractices.org Joins the Linux Foundation to Advance Best Practices and Offers Open Courseware Across Data Ecosystem

The Linux Foundation has announced datapractices.org, a vendor-neutral community working on the first-ever template for modern data teamwork, has joined as an official Linux Foundation project.

DataPractices.org was pioneered by data.world as a “Manifesto for Data Practices” of four values and 12 principles that illustrate the most effective, ethical, and modern approach to data teamwork. As a member of the foundation, datapractices.org will exp…
2019-03-21 09:14:01+00:00 Read the full story.
Interest Score: 1.5461, Positive Sentiment: 0.3711, Negative Sentiment 0.1237

Modern Data Warehousing: Enterprise Must-Haves

SPECIAL DBTA ROUNDTABLE WEBINAR TUESDAY, NOVEMBER 19 – 11:00 am PT / 2:00 pm ET

To fit into modern analytics ecosystems, legacy data warehouses must evolve—both architecturally and technologically—to deliver the agility, scalability and flexibility that business need to thrive in today’s data-driven economy. Alongside new architectural approaches, a variety of technologies have emerged as key ingredients of modern data warehousing, from data vir…
2019-11-19 00:00:00 Read the full story.
Interest Score: 1.5101, Positive Sentiment: 0.2517, Negative Sentiment 0.1678

How to Prepare an Enterprise for Adding AI to IT Operations

Artificial intelligence for IT operations (AIOps) is now officially an IT thing. This platform approach to new-gen technology promises to transform the efficiency and effectiveness of the modern IT operations team that’s often buried under floods of alerts, data, deadlines and pressure.

AIOps is a Gartner Research-defined platform that combines big data and artificial intelligence functionality to replace a broad range of IT operations processes…
2019-03-19 00:00:00 Read the full story.
Interest Score: 1.4759, Positive Sentiment: 0.2506, Negative Sentiment 0.1392

Expanding Your Data Science and Machine Learning Capabilities

SPECIAL DBTA ROUNDTABLE WEBINAR TUESDAY, APRIL 30 – 11:00 am PT / 2:00 pm ET

Surviving and thriving with data science and machine learning means not only having the right platforms, tools and skills, but identifying use cases and implementing processes that can deliver repeatable, scalable business value. The challenges are numerous, from selecting data sets and data platforms, to architecting and optimizing data pipelines, and model training and deployment. In responses, new solutions have emerged to deliver ke…
2019-04-30 00:00:00 Read the full story.
Interest Score: 1.4617, Positive Sentiment: 0.2580, Negative Sentiment 0.0860

Trifacta Unveils New Set of Features for Efficient Machine Learning

Trifacta, a provider of data preparation solutions, is releasing a new set of capabilities specifically focused on making data quality assessment, remediation, and monitoring more intelligent and efficient. The new capabilities are designed to help organizations modernize their approach to addressing data quality issues that hinder the success of analytics, machine learning, and cloud data management initiatives.

The first new capability, Active Profiling, is a selection model that blends real time visual and interactive guidance with machine learning, helping users discover and interact with data quality issues and resolve them with intelligent suggestions — all while sharing live previews to ensure that user validation is built into every step. Second, Smart Cleaning is a set of new features to address data quality issues that arise in formatting and standardization. With Cluster Clean, Pattern Clean, and Reference Clean, users can choose from a variety of different intelligent cleaning approaches to resolve data quality issues with mismatched data formatting and miscategorizations.
2019-03-20 00:00:00 Read the full story.
Interest Score: 1.4257, Positive Sentiment: 0.4582, Negative Sentiment 0.1527

The future of Artificial Intelligence in the work place

Artificial intelligence has become a contentious issue in business, with skeptics worrying about the likelihood of AI superseding those that have jobs in automation and even the possibility of having to face a machine uprising. Farfetched apocalyptic scenarios aside, we are entering a new and exciting age where the benefits of AI are capable of revolutionizing industries such as healthcare, education, businesses, and fi…
2019-03-18 07:28:05+00:00 Read the full story.
Interest Score: 1.4138, Positive Sentiment: 0.4491, Negative Sentiment 0.1663

Dollar Rebounds; Rival Global Yields Tumble, US Data Beats Forecasts

Summary: The Dollar rebounded a day after a dovish Fed abandoned plans to hike rates this year which jolted the US currency. The Dollar Index (USD/DXY) made back it’s loses finishing up 0.52% to 96.425 from 95.87 yesterday. US bond yields stabilised, with both the 2 and 10 years up one basis point. All the other Rival global bond yields tumbled apart from Japan which had a bank holiday yesterday. Sterling slumped further as Brexit woes resurfaced…
2019-03-22 12:13:24+10:00 Read the full story.
Interest Score: 1.4055, Positive Sentiment: 0.2908, Negative Sentiment 0.3231

Half a Billion Reasons Why Fintech Matters in Wealth Management

As I am sure most of you may have heard by now, last week Envestnet agreed to acquire PIEtech, founded in 1997 and developers of the financial planning software MoneyGuidePro, for a cool $500 Million. A “wow” moment for the wealthtech industry, and one that should certainly alert the VC community, as if it isn’t already aware, of the immense potential valuations for profitable & successful wealthtechs. All that, on top of news just last month tha…
2019-03-18 17:16:13+00:00 Read the full story.
Interest Score: 1.3465, Positive Sentiment: 0.2574, Negative Sentiment 0.0396

Here’s What Happens to Data Scientists at Hedge Funds

Like most hedge funds, Point72 is actively recruiting data scientists as it seeks to build out its quantitative business while also providing big data and other research to its discretionary traders. However, the firm offers one big benefit that its rivals likely can’t match.

Speaking at the AI and Data Science and Trading Conference in New York, Matthew Granade, Point72’s chief market intelligence officer, said the firm’s goal is to eventually transition its data scientists toward the front-office, where there’s more potential to pick up larg…
2019-03-22 00:00:00 Read the full story.
Interest Score: 1.3321, Positive Sentiment: 0.0444, Negative Sentiment 0.2664

Focus Your AI on Business Value, Not Predictive Accuracy, Aible Says

If you’re building your machine learning models to optimize accuracy, then you’re probably doing it wrong. That’s the message coming from Aible, an ML company that emerged from stealth today with new software designed to optimize ML decision-making around economic value, not accuracy.

Having an accurate algorithm is good. It obviously beats the alternative. But companies that focus on accuracy above all else are likely leaving money on…
2019-03-18 00:00:00 Read the full story.
Interest Score: 1.3193, Positive Sentiment: 0.2338, Negative Sentiment 0.2171

Keeping Up In An AI-Driven Workforce

AI will change the future of work, experts say. To keep up, we’ll need a culture of lifelong learning.

“New technologies are changing so quickly that any of us who are even experts in the field get out of date very quickly,” Lynne Parker, White House Office of Science and Technology Policy’s assistant director for artificial intelligence, told attendees of The Economist’s “The AI Agenda” event in Washington. “So nationally, we need to foster an environment where we are used to the idea that we’ll have lifelong learning. It’s no longer that you go through K-12, or you go through college, and you’re done.”
2019-03-22 11:20:24+00:00 Read the full story.
Interest Score: 1.3087, Positive Sentiment: 0.1190, Negative Sentiment 0.0000

Buy Side Using More Execution Quality Analysis

A new Greenwich Associates study “Customer Retention in the Age of Electronic Trading,” shows buy-side clients are increasingly reallocating their business among broker-dealers as they apply heightened scrutiny to execution quality. Amidst this more advanced evaluation of trading effectiveness, Corvil believes 2019 is a pivotal year for trade execution analytics.

Greenwich Associates examined 2,200 pairwise broker-client relationships and found …
2019-03-21 15:34:14+00:00 Read the full story.
Interest Score: 1.3079, Positive Sentiment: 0.4616, Negative Sentiment 0.1539

Big Data, Big Problems? Responsible Data Management in 2019

If 2018 taught us one thing about data collection, it would be the existence of a distinct and profound line between companies using data for good and those whose business model relies on its exploitation. As Facebook gears up to pay a multi-billion dollar fine to the FTC as a result of the Cambridge Analytica scandal, it’s time we as an industry evaluate how we handle data.

The recent NewVantage Partners survey found that businesses are ramping…
2019-03-18 00:00:00 Read the full story.
Interest Score: 1.3067, Positive Sentiment: 0.3082, Negative Sentiment 0.2589

Build or buy for quant tools – Cuemacro

It’s always tempting to do everything yourself. After all, it’s easy to think I know best. I once tried to make macarons. Once my uneven mess of macarons emerged from the oven, I had a much better understanding of what motivated people to buy macarons from Pierre Hermes. Subsequent attempts at baking them proved more successful. However, even after quite a few attempts, I had to admit to myself that my core expertise was eating macarons, rather t…
2019-03-23 00:00:00 Read the full story.
Interest Score: 1.2880, Positive Sentiment: 0.3421, Negative Sentiment 0.0805

Aible Announces Partnership with Tableau Software

According to a recent press release, “Aible, the innovators of AI for business impact, today announced a partnership with Tableau, the leading visual analytics platform. With this new partnership, and just a click of a button, Tableau users can amplify their investments and seamlessly supercharge their data with AI. This news comes after Aible officially launched earlier today, announcing the industry’s only Real World AI trained for measurable b…
2019-03-22 07:15:08+00:00 Read the full story.
Interest Score: 1.2627, Positive Sentiment: 0.5342, Negative Sentiment 0.1457

How Businesses Should Be Adopting Bots

Last fall, San Francisco-based Intercom launched Answer Bot, a bot that uses machine learning to answer customers’ most frequently asked questions. Answer Bot enables businesses to tap into AI and see value from bots by combining a powerful machine learning engine with an easy-to-use curation tool, making it easier than ever for businesses to implement and actually get value from bots.

On average, Intercom said, Answer Bot instantly resolves 29 percent of customers’ most common questions…
2019-03-22 00:00:00 Read the full story.
Interest Score: 1.2626, Positive Sentiment: 0.3157, Negative Sentiment 0.2736

How Big Data Is Interrupting The Real Estate Industry

Big data has a lot of applications. While we usually focus on big data’s impact in the marketing and fitness industries, there are other sectors that are equally affected by them.Large-scale real estate companies and firms have been using big data for a long time, but now the technology is becoming more affordable and readily available. These big data trends are having the biggest impact on the real estate industry.
2019-03-18 21:14:02+00:00 Read the full story.
Interest Score: 1.2609, Positive Sentiment: 0.4585, Negative Sentiment 0.1146

Government is Reskilling Workforce to Handle Disruptions from Spread of AI

The future of work will be dramatically transformed by artificial intelligence, so Americans should be prepared to engage in lifelong learning, tech experts said at a recent AI event in Washington.

“New technologies are changing so quickly that any of us who are even experts in the field get out of date very quickly,” Lynne Parker, White House Office of Science and Technology Policy’s assistant director for artificial intelligence, told attendees of The Economist’s “The AI…
2019-03-22 11:20:30+00:00 Read the full story.
Interest Score: 1.2472, Positive Sentiment: 0.1890, Negative Sentiment 0.1512

 

Domo Introduces the Domo Business Automation Engine

A recent press release states, “Today Domo announced the Domo Business Automation Engine (BAE), an orchestration layer in the Domo platform that leverages machine learning and advanced alerting capabilities to help organizations coordinate intelligent, event-based workflows and shorten the time from insights to action. Domo BAE is the first-of-its-kind orchestration layer to work across all data, systems and people in an organization. ‘Data only has business value if organizations are able to do something with it and those that move quickly create a competitive edg…
2019-03-25 07:15:22+00:00 Read the full story.
Interest Score: 1.2210, Positive Sentiment: 0.0611, Negative Sentiment 0.1832

Extracting Maximum Value from Containers with Smart Availability Software

Click to learn more about author Don Boxley.

Across vertical industries, containers are revered for their capacity to significantly impact the software and application development process. These portable execution environments enable a host of enterprise benefits readily codified into the following three areas:

Scale Out: Containers scale out quickly, allowing any number of users to access the same image from the same starting point without mon…
2019-03-22 07:35:13+00:00 Read the full story.
Interest Score: 1.1943, Positive Sentiment: 0.3317, Negative Sentiment 0.1460

Intent Data 101: What B2Bs Need To Know About This Information

Data is in the air businesses breathe and the water they drink; it is impossible to run a business successfully in 2019 without an ample amount of information about customers, competitors and more. However, too often, businesses make major mistakes when it comes to data collection. It’s possible, easy even, to collect too much data, and oftentimes businesses focus on gathering data that doesn’t do them any good while ignoring types of data that w…
2019-03-21 18:47:54+00:00 Read the full story.
Interest Score: 1.1749, Positive Sentiment: 0.3032, Negative Sentiment 0.2843

How Big Data Has Impacted The Real Estate Industry

Big data has made its way into virtually every industry. The real estate profession is no exception. Real estate professionals all over the world are benefiting from big data in a number of ways. CIO has published a very introspective article on eight companies that are using big data to disrupt the real estate industry. Here are some of the biggest benefits of big data for real estate.

Better Prediction…
2019-03-22 11:16:51+00:00 Read the full story.
Interest Score: 1.1682, Positive Sentiment: 0.5841, Negative Sentiment 0.3505

Smart Content Management and Automation for Faster Scaling with Laserfiche

By Vasyl Solushchuk/INSART

Site: www.laserfiche.com Founded: 1987 Clients: Registered investment advisors, broker-dealers Value proposition: Enterprise content management, business process automation, workflow, records management, document imaging, and web form software The executive team: Linda Ding, Director of Strategic Marketing

Greg Eisenberg, Director of Engineering

Laserfiche is a market leader in enterprise content management and pro…
2019-03-20 13:00:17+00:00 Read the full story.
Interest Score: 1.1668, Positive Sentiment: 0.2135, Negative Sentiment 0.0534

 

Top 10 New Linux SBCs to Watch in 2019

A recent Global Market Insights report projects the single board computer market will grow from $600 million in 2018 to $1 billion by 2025. Yet, you don’t need to read a market research report to realize the SBC market is booming. Driven by the trends toward IoT and AI-enabled edge computing, new boards keep rolling off the assembly lines, many of them tailored for highly specific applications.

Much of the action has been in Linux-compatible boa…
2019-03-21 14:43:36+00:00 Read the full story.
Interest Score: 1.1177, Positive Sentiment: 0.1069, Negative Sentiment 0.0389

Big Tech’s AI Helps Indie RIAs Punch Up

Technology moves fast. Artificial intelligence and machine learning are essential for advisors who value customer service and marketing software, reported TechCrunch. Vendors like Salesforce and Microsoft are bringing automation and computer intelligence to those aspects of advisors’ businesses.

Today, Salesforce added AI features to its CRM platform, Service Cloud, according to VentureBeat, and improvements also include article recommendati…
2019-03-19 19:29:53+00:00 Read the full story.
Interest Score: 1.1111, Positive Sentiment: 0.1961, Negative Sentiment 0.0000

Amazon Alexa App Discovery Issue Affects Users & Developers: Study

Alexa, Amazon’s ubiquitous digital assistant, feels as though it’s everywhere in your home. Unfortunately for Amazon, developers, and perhaps artificial intelligence (A.I.) at large, users just don’t care about Alexa’s apps.

A new study from voicebot.ai drilled into how users discover Alexa apps. It’s a curious data-point, of course, but ultimately useful for developers interested in the “voice-first” revolution. While we know people tend to use their in-home speakers to stream music or ask silly questions, it seems that’s about all they care to do: When ask…
2019-03-18 00:00:00 Read the full story.
Interest Score: 1.1039, Positive Sentiment: 0.1698, Negative Sentiment 0.1415

Private equity chief says he’s bullish on A.I. in China

“China has the best digital infrastructure, as a sizable economy,” John Zhao, CEO of Hony Capital, said at the China Development Forum in Beijing. “When I talk about the digital infrastructure, it’s not just about how many people are internet-users, or will be internet-users. We’re talking about mindset,” he told CNBC’s Eunice Yoon on Saturday.

Chinese “consumers are digitally equipped and very open to consume digitally,” Zhao said, adding that it will be “a very, very powerful driving force. And that is going to continue to contribute to world’s growth.” Zhao did not name particular Chinese tech stocks he was investing in, but said he sees potential in the field of artificial intelligence.
2019-03-24 00:00:00 Read the full story.
Interest Score: 1.0870, Positive Sentiment: 0.1812, Negative Sentiment 0.1812

The Importance of Interpretable Machine Learning with Christoph Molnar

How do we build interpretable machine learning models? Or, in other words, how do we build trust in the models we design? This is such a critical question in every machine learning project. But we tend to overlook this in our haste to build more accurate models.

Take a moment to think about this – how many times have you turned to complex techniques like ensemble learning and and neural networks to improve your model’s accuracy whi…
2019-03-20 04:20:12+00:00 Read the full story.
Interest Score: 1.0804, Positive Sentiment: 0.1184, Negative Sentiment 0.2072

Big Data Ecosystem Updates: Hadoop, Containers, and VMs Explained

Twenty years ago, a startup called VMware brought in business by providing a platform to create nonphysical machine virtualizations, such as Linux, Windows, and others. As server processing capacity increased, basic applications couldn’t maximize the use of all the abundant new resources. Enter Virtual Machines (VMs), designed to run software on top of a physical server, and to imitate a specific hardware system. A hypervisor is software or hardw…
2019-03-21 07:35:42+00:00 Read the full story.
Interest Score: 1.0718, Positive Sentiment: 0.1371, Negative Sentiment 0.0748

Unicorns: The Next Generation of $1 Billion Startups Has Arrived

The world of venture capital boomed last year, naming 100 new “unicorns,” a term for startups the have reached the milestone valuation of at least $1 billion. An injection of capital into these red hot companies ignited hopes that they will become even more valuable once they go public. This year, a new class of unicorns that has reached the $1 billion valuation threshold is right behind, sparking interest on the Street, given their sheer size im…
2019-03-22 19:24:48.909000+00:00 Read the full story.
Interest Score: 1.0403, Positive Sentiment: 0.0780, Negative Sentiment 0.0260

Six cyber security priorities in 2019 for top companies to consider

The increasing sophistication and volume of cybersecurity threats and attackers, rapid technology changes, the continued move to automated and cloud-based services and changing data privacy regulations are just a few factors that have propelled companies’ to increase their focus on cybersecurity and information protection. In 2019, it is important that organizations remain informed about emerging threats and ways to mitigate them.

“It is critica…
2019-03-18 12:21:06+00:00 Read the full story.
Interest Score: 1.0131, Positive Sentiment: 0.1333, Negative Sentiment 0.4266

Women in tech work to debug the industry’s diversity problem at HopperX1 Seattle conference

Are you tired of spending too much time debugging?” read the description for one workshop called “Time Travel Through Your Code.” Another session focused on automated methods for identifying the best machine learning pipelines for all kinds of data sets. The title of another class: “Role of Computer Vision in Revolutionizing Computer-Assisted Surgery.”

In other words, you wouldn’t necessarily know that this was a women’s advocacy conference from the focus of the sessions. And that’s precisely the point, said organizers of the conference, which was hosted by AnitaB.org, the group behind the well-known Grace H…
2019-03-23 16:50:04-07:00 Read the full story.
Interest Score: 1.0096, Positive Sentiment: 0.1970, Negative Sentiment 0.0739

Here’s How Big Data Is Transforming Online Gaming

Consumers are producing more data than ever before. As the volume of data increases at an exponentially faster rate, companies must have the best scientists on staff to aid them. There has been a 29% increase in data scientists over the past year. The trend is even more significant if you look at it over a longer time interval. There has been a whopping 344% increase since 2013, which was only six years ago. Unfortunately, those that have the skill set grew at a substantially slower pace, only 14%.

This obvious gap between the supply and demand for these professionals has led to a lot of money being spent on high salaries and great benefits packages to fill the demand. This means that people that can crunch data can realize a very lucrative for some.
2019-03-19 19:56:05+00:00 Read the full story.
Interest Score: 1.0027, Positive Sentiment: 0.6359, Negative Sentiment 0.1467

LillyWorks Adds Predictive Analytics to its Manufacturing Software

LillyWorks has announced the addition of predictive analytics to its Protected Flow Manufacturing software.

Protected Flow Manufacturing provides the user with an execution plan – what to run and when to run it – based on the mix of products and resources required to make them to provide the best timing of output to minimize delays.

The Predictor, the predictive analytics tool of Protected Flow Manufacturing that incorporates AI techniques, tak…
2019-03-22 11:10:13+00:00 Read the full story.
Interest Score: 0.9934, Positive Sentiment: 0.2649, Negative Sentiment 0.3974

New Data Scientists Must Avoid these 4 Data Fallacies

There are countless applications of machine learning in 2019. The demand for machine learning developers is growing at a rapid pace. MIT recently announced that it iscommitting $1 billion to a new program to educate technology professionals about machine learning and artificial intelligence. New academic programs are likely to be launched to focus on this rapidly growing field.

Although there are many benefits of machine learning, there are also a lot of challenges. Developers must be aware of the numerous data fallacies that can tarnish the quality of their machine learning algorithms. Here are some of the most common, according to one company that offers machine learning services.
2019-03-22 11:10:54+00:00 Read the full story.
Interest Score: 0.9553, Positive Sentiment: 0.0208, Negative Sentiment 0.2492

How Lakeba Group uses AI to identify business opportunities

Rather than picking a single problem and solving it, Australian technology company Lakeba Group is hedging its bets, using AI to unearth a range of business opportunities, commercialising the underlying technology components as well as applying it to industry-specific use cases.

So far the Manly-based company has identified seven commercial ventures, including the Shelfie, a joint venture with Microsoft, and Paid By Coins, a payment service that…
2019-03-19 06:00:30+11:00 Read the full story.
Interest Score: 0.9535, Positive Sentiment: 0.2682, Negative Sentiment 0.0596

Young people consider AI a threat to future employment: Survey

Add artificial intelligence to the growing list of millennial challenges, along with rising rents and a changing climate. The majority (85 percent) of young people aged 18 to 34 believe artificial intelligence (A.I.) will be a threat to the job market within the next 10 years, and 25 percent believe it’s already an issue. This according to a new survey of more than 1,500 Canadians, conducted by Maru/Matchbox on behalf of Centennial College post-graduate public relations students in partnership with CivicAction, a non-profit organization that creates collective action on big urban challenges.

The survey explored how young people feel about the changing landscape of work and which institutions are taking steps to best prepare for it. The results will be presented tonight at Centennial College’s Story Arts Centre, as students host a CivicDish event, an evening of dinner and discussion. “Understanding how young people feel about the future of work isn’t a nice to have, it’s a need to know,” says Sevaun Palvetzian, CEO of CivicAction. “Millennials make up the largest percentage of Canada’s workforce at 37 percent and are already shaping our workforce’s relationship with technology and automation.”
2019-03-18 12:28:27+00:00 Read the full story.
Interest Score: 0.9450, Positive Sentiment: 0.3850, Negative Sentiment 0.2800

Scalyr launches PowerQueries for advanced log management

Log management service Scalyr today announced the beta launch of PowerQueries, its new tools for letting its users create advanced search operations as they manage their log files and troubleshoot potential issues. The new service allows users to perform complex actions to group, transform, filter and sort their large data sets, as well as to create table lookups and joins. The company promises that these queries will happen just as fast as Scaly…
2019-03-25 00:00:00 Read the full story.
Interest Score: 0.8471, Positive Sentiment: 0.3080, Negative Sentiment 0.0770

Multi-billion dollar showdown over Hewlett-Packard’s $11bn Autonomy purchase starts in London’s High Court

A multi-billion dollar showdown over US technology giant Hewlett-Packard’s $11bn purchase of UK software firm Autonomy software in 2011 starts in London’s High Court on Monday.

Former Autonomy CEO Mike Lynch, together with his former CFO Sushovan Hussain, is being sued by the US group – now renamed Inc ( ) after spinning off its enterprise business in 2015 – for damages of around $5bn.

The charges allege that the value of former FTSE 100-listed…
2019-03-25 00:00:00 Read the full story.
Interest Score: 0.8380, Positive Sentiment: 0.0559, Negative Sentiment 1.0615

Initialization Techniques for Neural Networks

In this blog, we will see some initialization techniques used in Deep Learning. Anyone that even has little background in Machine Learning must know that we need to learn weights or hyperparameters to make the model. These parameters govern how well our algorithm will perform on unseen data. To learn the model we need to initialize the parameters, apply the loss function and then optimize it. In this blog, we will focus on the initialization part of the network.

If you ever have built any machine learning algorithm you must have he…
2019-03-20 13:11:03.737000+00:00 Read the full story.
Interest Score: 0.8185, Positive Sentiment: 0.0646, Negative Sentiment 0.1723

The Impact Of Algorithmic-Enhanced Care

Algorithms are changing clinical care, says Sandy Aronson, Executive Director of IT, Partners HealthCare Personalized Medicine. True AI—neural networks—will play a role, but less sophisticated algorithms are already powering dramatic improvements.

“We are seeing the benefits of introducing algorithms into the care delivery process to enable us to really harness that data and help the way we make decisions,” Aronson told AI Trends. “It’s logic, o…
2019-03-21 18:32:04+00:00 Read the full story.
Interest Score: 0.7898, Positive Sentiment: 0.3470, Negative Sentiment 0.0957

Fortescue Metals Group set to open autonomous vehicle research centre

Mining company Fortescue Metals Group is exploring how it could apply autonomous mobility technology in an urban environment, announcing it plans to establish a new research and development centre in Karratha, Western Australia.

The Fortescue Future of Mobility Centre will leverage the company’s success in using autonomous technology across its mining operations.

Fortescue has been using autonomous vehicles since 2012 and its CEO Elizabeth Gain…
2019-03-25 00:10:55+11:00 Read the full story.
Interest Score: 0.7840, Positive Sentiment: 0.5346, Negative Sentiment 0.0356

Autonomy founder Lynch set for $5 billion Hewlett-Packard court showdown

Mike Lynch, once hailed as Britain’s answer to Bill Gates, faces Hewlett-Packard (HP) in London’s High Court on Monday in a multi-billion dollar showdown over the U.S. technology company’s 2011 purchase of the Autonomy software business he founded.

The case is part of a dispute between HP and Lynch lasting more than six years over who is to blame for the disastrous deal, which ended up costing the Silicon Valley stalwart’s shareholders billions …
2019-03-25 00:00:00 Read the full story.
Interest Score: 0.7784, Positive Sentiment: 0.0458, Negative Sentiment 1.0531

Survey: Do You Even Want to Develop Apps for Voice-First Digital Assistants?

Digital assistants such as Amazon’s Alexa or Apple’s Siri are fairly ubiquitous in 2019. Even Google’s unnamed “Assistant” has a voice and a presence in your home. They’re neat. And handy. But do you care about them professionally?

Amazon is far and away the ‘winner’ in this space; it’s made Alexa available to just about every manufacturer with a connected home gadget. It’s a handy way to ensure the home is laced with microphones dedicated to on…
2019-03-22 00:00:00 Read the full story.
Interest Score: 0.7755, Positive Sentiment: 0.2467, Negative Sentiment 0.0352

Chief Safety Officers Needed in AI: The Case of AI Self-Driving Cars

Many firms think of a Chief Safety Officer (CSO) in a somewhat narrow manner as someone that deals with in-house occupational health and safety aspects occurring solely in the workplace. Though adherence to proper safety matters within a company are certainly paramount, there is an even larger role for CSO’s that has been sparked by the advent of Artificial Intelligence (AI) systems. Emerging AI systems that are being embedded into a company’s products and services has stoked the realization that a new kind of Chief Safety Officer is needed, one with wider duties and requiring a dual internal/external persona and focus.

In some cases, especially life-or-death kinds of AI-based products such as AI self-driving cars, it is crucial that there be a Chief Safety Officer at the highest levels of a company. The CSO needs to be provided with the kind of breadth and depth of capability required to carry out their now fuller charge. By being at or within the top executive leadership, they can aid in shaping the design, development, and fielding of these crucial life-determining AI systems.
2019-03-19 14:30:20+00:00 Read the full story.
Interest Score: 0.7705, Positive Sentiment: 0.0794, Negative Sentiment 0.2264

Brookings Report: Big Data Is Key To Improving Writing Skills

Big data is typically associated with the professions that became popular during the 21st Century digital boom. However, big data advances have also played a role in shaping many other skill sets. Writing is one of the competencies that is affected by big data. A 2013 report from Brookings showed this.

“Data analytics offer helpful means of ranking students and assessing classrooms as a whole. Automated tools can provide dashboards for teachers and real-time feedback and evaluation for students. There remain a number of challenges in big data applications, but there are promising tools available for classroom usage.” The third point on the challenges of big data in the classroom is an important one. However, Darrell West and Joshua Bleiberg clearly showed that is important.
2019-03-18 21:21:10+00:00 Read the full story.
Interest Score: 0.7641, Positive Sentiment: 0.5006, Negative Sentiment 0.3689

Being a Good Listener Can Help You Get a Data Science Job – Dataquest

Landing a data science job (or any job, really) can feel like a marathon. Between all the applications, recruiter screening calls, problem sets, and several rounds of video or in-person interviews, the application-to-offer runway is exhausting. Being able to effectively communicate with different personalities while providing the “correct answers” is important, but one soft skill might be just as for both getting and d…
2019-03-20 14:32:08+00:00 Read the full story.
Interest Score: 0.7630, Positive Sentiment: 0.2244, Negative Sentiment 0.3142

Why Norms Matters — Machine Learning – Towards Data Science

Evaluation is a crucial step in all modeling and machine learning problems. Since we are often making predictions on entire datasets, providing a single number that summarizes the performance of our model is both simple and effective.

There are a number of situations where we n…
2019-03-25 01:00:04.065000+00:00 Read the full story.
Interest Score: 0.7544, Positive Sentiment: 0.1414, Negative Sentiment 0.4008

How Cloud Computing And Robotics Play A Role In Industrial Automation

All technologies today are connected to cloud computing. And unsurprisingly, robotics as well. The biggest beneficiary of this mix of novel and complex technologies seems to be the manufacturing sector. By the end of this year,the global expenditure of robotics and robot-related services will reach approximately $135 bn. As a comparison, the 2015 expenditure of robotics was only $71 bn. By 2020, the robotics technology market is expected to reach almost $83 bn, according to the Global Robotics Technology Market 2013-2020.

What is Driving Growth in the Robotics Sector? A main growth generator in the robotics sector is the need for reduced manufacturing costs. These usually come from human labour. The high demand also comes from the need to compensate for the lack of human workers.
2019-03-22 10:56:27+00:00 Read the full story.
Interest Score: 0.7517, Positive Sentiment: 0.3469, Negative Sentiment 0.2457

Infographic: 11 Steps to Transition into Data Science

ntroduction

Do you often work with reports in Excel? Or regularly build dashboards and visualizations in Tableau or Power BI? If you answered yes to either question – and you want to transition into data science – you’ve come to the right place!

Business Intelligence (BI) professionals hold a sizeable advantage over most other folks transitioning into data science. Think about it:

You are already working with data on a daily basis

You are part of the data team (are might even be working with data scientists)

Possess a healthy understanding of the domain, aka, you are familiar with the business contex…
2019-03-22 04:34:33+00:00 Read the full story.
Interest Score: 0.7328, Positive Sentiment: 0.1691, Negative Sentiment 0.2255

On World Water Day, Microsoft is delivering new approaches to ensure we leave no one behind

Today is World Water Day, and this year the theme is “Leaving no one behind.” This is a phrase oft-invoked, but it is particularly important when it comes to water because we are currently leaving 900 million people – much of the world’s population – behind when it comes to safe drinking water, and we’re trending in the wrong direction.

The UN predicts that by 2030, the world may face a 40 percent shortfall in available water. The causes? Climat…
2019-03-22 00:00:00 Read the full story.
Interest Score: 0.7212, Positive Sentiment: 0.3344, Negative Sentiment 0.3344

Oracle Building CX strategy on three pillars

The message out of Oracle’s Customer Experience event in Las Vegas last week, is that the company is leveraging its strong database heritage and building a three-pillar strategy; connected data, connected experience and connected intelligence.

Which-50’s invitation to the event was obviously lost in the mail, so we tracked down Derek Bell, the director of customer success and marketing at Marketing Cube, a Sydney based and accredited Oracle Mark…
2019-03-25 00:12:03+11:00 Read the full story.
Interest Score: 0.7134, Positive Sentiment: 0.1968, Negative Sentiment 0.1476

 


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