AI & Machine Learning News. 16, September 2019

News clippings are provided algorithmically with CloudQuant’s NLP engine which seeks out articles relevant to our community.


Deep Nexus Launches Artificial Intelligence Trading Technology

According to a recent press release, “Deep Nexus Inc. today announces the launch of its AI-powered predictive analytics for financial markets. The company utilizes deep learning neural networks with time-series data for trading in equities, futures, commodities, and foreign exchange markets. ‘Our core approach is to find repeating patterns and anomalies in data and to use these for intra-day trading,’ said Chief Executive Officer Kevin M. Riley. …
2019-09-16 07:10:24+00:00 Read the full story…
Weighted Interest Score: 5.5696, Raw Interest Score: 2.7411,
Positive Sentiment: 0.0000, Negative Sentiment 0.0508

CloudQuant Thoughts: We love to seeing innovation in the AI/Trade simulation space and can’t wait to learn more about what Deep Nexus is doing. What is going on with this article though? Positive Sentiment on a press release of zero? Someone needs to go back to Introduction to Press Releases.

Are Black Swans in Your Data Lakes Obstructing AI Progress?

Author Kim Kaluba.

It seems every company is anxious to jump on the boat and launch an AI program to improve organizational performance. But do they know what’s swimming in the data lake alongside their boat?According to a recent Infosys survey, half of organizations reported that they will not be able to deploy AI because of data challenges and 37% of respondents cited data integrity as a barrier to getting AI projects…
2019-09-13 07:35:42+00:00 Read the full story…
Weighted Interest Score: 5.5509, Raw Interest Score: 2.2538,
Positive Sentiment: 0.3548, Negative Sentiment 0.5843

CloudQuant Thoughts: A black swan is an unexpected data point or event outside of the normal data range often caused by poor data collection or management (think data governance.)  Data scientists hate black swans. They break the models and the analysis. Be careful though before you label your unexpected data a “Black Swan.” It could be high quality data that is an early indication that something is changing. In the world of alternative data we saw what one analyst thought was a “black swan.” It turned out to be a leading indicator that the stock price was about to jump.

Big Data is Revolutionizing the World of Finance – Here’s How

Our ability to gather, compile, and mine for data is greater than it ever was and continues to grow by the minute. Big data analytics is affecting nearly every industry, but there are few sectors where it’s having as profound an impact than on the world of finance.

We’re already seeing robo advisors using improved data sets, artificial intelligence, and machine learning to outperform human advisors, and more traders moving towards algorithmic trading to maximize portfolio returns and apply complex mathematical calcul…
2019-09-16 08:34:23 Read the full story…
Weighted Interest Score: 5.4652, Raw Interest Score: 2.3262,
Positive Sentiment: 0.2674, Negative Sentiment 0.1872

CloudQuant Thoughts: Sentiment Data, Alternative Data, and Fundamental Data are indeed merging on an quantitative analyst’s desk. Are you participating in the new wave?

IBM Research into Explainable AI Has Goal of Ensuring Trustworthy Systems

Artificial intelligence could advance science in dramatic ways, but beyond the technical challenges, one of the hurdles is cultural. We must trust the systems we build.

“Making AI trustworthy takes a lot of commitment, and it’s a long journey, and we are just in the beginning of that journey,” says Pin-Yu Chen, Research Staff Member at the IBM Thomas J. Watson Research Center. Chen and his colleagues are working on way…
2019-09-12 21:30:35+00:00 Read the full story…
Weighted Interest Score: 5.0760, Raw Interest Score: 1.5454,
Positive Sentiment: 0.1813, Negative Sentiment 0.2590

CloudQuant Thoughts: The goal is to make AI trustworthy. What do you think needs to be part of the process? In algorithmic trading we have safety nets of trading limits and “Big Red Switches” to stop run away trading algos. Do you think that all AI needs to have similar safety components?

The squeeze on AI talent could cripple America’s most important companies

e, VC investments in AI startups are at all time highs, too. And in between the startups and the top 5 are the Fortune 500 companies — the companies with the most data that stand to benefit most from machine learning — who are just not able to compete for talent.

AI talent is either going for huge money at the top companies or for a moonshot at a startup. That means most of the Fortune 500 are being squeezed out of the AI revolution. And if this squeeze continues, we can expect to see the names on the Fortune 500 list change rapidly over the next half-decade.

In the past, the Fortune 500 has been a hotbed o…
2019-09-14 00:00:00 Read the full story…
Weighted Interest Score: 4.9916, Raw Interest Score: 1.9928,
Positive Sentiment: 0.2881, Negative Sentiment 0.1921

Real-time Big Data at Hyperscale for AI, ML and IoT – What’s Needed?

Processing big data in real-time for artificial intelligence, machine learning, and the Internet of Things poses significant infrastructure challenges. Whether it is for autonomous vehicles, connected devices, or scientific research, legacy NoSQL solutions often struggle at hyperscale. They’ve been built on top of existing RDBMs and tend to strain when looking to analyze and act upon data at hyperscale – petabytes and beyond.

Please join guest presenter, …
2019-09-17 00:00:00 Read the full story…
Weighted Interest Score: 4.0423, Raw Interest Score: 2.5072,
Positive Sentiment: 0.0000, Negative Sentiment 0.2893

NITI Aayog To Get ₹7,000 Crore To Execute AI Project: Report

y finally end the tiff between NITI Aayog and the Ministry of Electronics and Information Technology, the Government is reportedly going to allocate ₹7,000 crore to the former to launch a nation-wide artificial intelligence plan.

According to a report by a business daily, the Finance Ministry is on the verge of allocating the funds to the thinktank, effectively ending the power struggle between the two entities to take their AI projects ahead.

“The expenditure finance committee has cleared the spending of ₹7,000 crore till 2024-25. The NITI Aayog is likely to be the line ministry for this initiative. The Cabinet n…
2019-09-11 12:21:53+00:00 Read the full story…
Weighted Interest Score: 3.9865, Raw Interest Score: 1.7579,
Positive Sentiment: 0.0000, Negative Sentiment 0.0000

Top 5 Automation Tools That Can Speed Up Your Data Science Project

Data Science has impacted a lot of businesses from different industries. While data science has managed to come so far, becoming “the sexiest job of the 21st century”, there is one more technology that is gaining prominence.

Today, automation is not only limited to sectors like robotics, but it also collaborating with other domains to make things easy for techies and one such domain is data science. There are a large number of companies coming u…
2019-09-16 05:29:43+00:00 Read the full story…
Weighted Interest Score: 3.8443, Raw Interest Score: 1.9401,
Positive Sentiment: 0.3929, Negative Sentiment 0.1965

Machine Learning: From hype to real-world applications

Machine Learning: From hype to real-world applications How to utilize emerging technologies to drive business value. Vegard Flovik Follow Sep 16 · 10 min read The hype is real. Artificial Intelligence (AI) and Machine Learning (ML) is all over the media, and everyone wants to be involved in the technology race. Progress during the last few years has been absolutely tremendous, and you have probably heard claims such as “AI is the new electricity” and “AI will completely revolutionize our society”. I will not comment on those statements, but what we can all safely agree on, is that there is def…
2019-09-16 12:04:53.502000+00:00 Read the full story…
Weighted Interest Score: 3.7915, Raw Interest Score: 1.6620,
Positive Sentiment: 0.2374, Negative Sentiment 0.1583

Employing AI to Enhance Returns on 5G Network Investments

By Berge Ayvazian, Senior Analyst and Consultant, Wireless 20/20

Wireless 20/20 believes that AI will play a crucial role in helping operators to maximize returns on their 5G network investments. AI will open exciting opportunities for the mobile communications sector to proactively manage the costs of deploying and maintaining new 5G networks while helping to create a more personal approach for customers. We will examine the role of AI in Telec…
2019-09-12 21:30:47+00:00 Read the full story…
Weighted Interest Score: 3.7861, Raw Interest Score: 1.5244,
Positive Sentiment: 0.4101, Negative Sentiment 0.1006

Digital banking startup FairMoney raises EUR10 million

FairMoney, a Paris-based fintech startup that that uses alternative smartphone data to underwrite microcredit in Nigeria, has raised EUR10 million with the aim of creating a fully-fledged mobile banking service.

The Series A round was led by Flourish, a venture of The Omidyar Group, the partners of DST Global, and existing seed investors Newfund, Speedinvest, and Le Studio VC.

Launched in 2017, FairMoney has more than 200,000 customers using …
2019-09-16 09:36:00 Read the full story…
Weighted Interest Score: 3.7182, Raw Interest Score: 1.8942,
Positive Sentiment: 0.1960, Negative Sentiment 0.0000

Xnor teases an AI gizmo that’ll make sure grocery stores keep their shelves stocked

BOT or NOT? This special series explores the evolving relationship between humans and machines, examining the ways that robots, artificial intelligence and automation are impacting our work and lives.

Artificial intelligence is coming to a grocery store shelf near you.

Xnor.ai, a spin-out from Seattle’s Allen Institute for Artificial Intelligence, has been working with partners on low-cost, low-power AI monitoring devices, including a camera with the ability to detect when a person steps in front of a webcam.

Now the startup is unveiling a wi…
2019-09-13 23:20:58-07:00 Read the full story…
Weighted Interest Score: 3.7037, Raw Interest Score: 1.8439,
Positive Sentiment: 0.0858, Negative Sentiment 0.0429

Where the AI rubber hits the banking road

I was talking with a senior banker, who told me that he was in charge of the Artificial Intelligence program in the bank. I was impressed as he is part of the executive leadership team of the bank and not the CIO. We have invested widely across the board in AI, he told me, and achieved great results. Sure, I hear that a lot. How many people have you laid off as a result? I asked. I always like numbers, and most bank AI developments appear focused upon cost savings. Less than you would think, he …
2019-09-10 06:21:26+00:00 Read the full story…
Weighted Interest Score: 3.6521, Raw Interest Score: 1.8352,
Positive Sentiment: 0.2039, Negative Sentiment 0.0680

Strat Jobs on Wall Street: What It Takes to Land One

These days, ‘strats’ (a kind of hybrid of quants, programmers, data scientists and traders) have become some of the most in-demand people in finance. However, becoming a strat isn’t easy, even for those coming from the technology industry: you’ll need to be exceptionally good at math and programming. (It might help, too, to land a strat-focused qualification, such as a Master’s in Financial Engineering course.)

Carnegie Mellon University just re…
2019-09-13 00:00:00 Read the full story…
Weighted Interest Score: 3.6432, Raw Interest Score: 1.9263,
Positive Sentiment: 0.2931, Negative Sentiment 0.1256

Are We Asking Too Much from Citizen Data Scientists?

h of epic proportion. Cutthroat competition and sky high salaries are just two signs of the considerable lack of available data science talent. Some folks are trying to fill that by putting automated machine learning (AutoML) tools in front of citizen data scientists, but others warn that it could backfire.

Gartner is credited with coining the title “citizen data scientist” back in 2016 to refer to data professionals who use advanced software like AutoML packages to develop predictive analytic applications. While citizen data scientists’ primary job function typically lies outside statistics and analytics, t…
2019-09-09 00:00:00 Read the full story…
Weighted Interest Score: 3.6305, Raw Interest Score: 2.0971,
Positive Sentiment: 0.2053, Negative Sentiment 0.1906

Data Strategy and Serverless Computing: How Do They Work Together?

Businesses need a strong Data Strategy to manage vast amounts of data, drive innovation, develop a data culture, and to maintain a competitive advantage. Though cloud environments offer fast, high-volume data collection and scalable storage space; machine learning-powered data preparation; AI-enabled analytics; data backup and recovery facilities — leaving the developers free to pursue coding.

Although cloud security is still a common concern, t…
2019-09-10 07:35:33+00:00 Read the full story…
Weighted Interest Score: 3.6230, Raw Interest Score: 2.0532,
Positive Sentiment: 0.2369, Negative Sentiment 0.1579

FINRA Points Out Common Mistakes for Firms to Avoid

FINRA CEO Robert Cook. (Photo: Jeff Berman/ALM)

The Financial Industry Regulatory Authority and other industry experts, executives and policymakers shared their knowledge Wednesday about compliance, regulatory and a wide range of other topics affecting institutional firms at the FINRA Institutional Conference in New York.

During a session on common examination findings, FINRA staff discussed some of the most common deficiencies they’ve seen dur…
2019-09-13 00:00:00 Read the full story…
Weighted Interest Score: 3.5747, Raw Interest Score: 1.2697,
Positive Sentiment: 0.1530, Negative Sentiment 0.1836

OPINION: AI Ethics Are Not Optional

Ethical artificial intelligence and machine learning may sound like an undergraduate elective, but it is a topic that financial institutions need to address urgently.

Firms are exposing themselves to a new type of risk as they either develop AI and machine-learning models or rely on the growing number of third-party model providers.

Do these new models harm a specific subset of the population or unintentionally use practices that market regulator…
2019-09-12 14:00:38+00:00 Read the full story…
Weighted Interest Score: 3.5315, Raw Interest Score: 1.7056,
Positive Sentiment: 0.1346, Negative Sentiment 0.1795

Accenture Acquires Pragsis Bidoop, Boosting AI Capabilities, Big Data Portfolio and Talent

any with strong expertise in big data, AI and advanced analytics. Pragsis Bidoop, headquartered in Madrid with additional offices in Barcelona and the U.K., will add more than 200 employees with deep machine learning, artificial intelligence and big data engineering experience, along with its portfolio of end-to-end solutions, to Accenture’s Applied Intelligence business. Integrating Pragsis Bidoop’s capabilities will further enhance how Accenture Applied Intelligence serves the European and Latin American markets by helping enterprise clients scale their deployments of AI, analytics and automation to make da…
2019-09-16 07:05:53+00:00 Read the full story…
Weighted Interest Score: 3.4606, Raw Interest Score: 1.7953,
Positive Sentiment: 0.1795, Negative Sentiment 0.1197

AI Trends to Look for in 2019 and Beyond

Photo: THANANIT / Adobe Stock

Artificial intelligence has grabbed our attention and inspired us to take notice, but many people don’t see the potential of this technology. AI has the power to change the way we view the world and complete our most basic tasks. It can make us safe and let us know when danger is around the corner, but it can do much more than that.

AI can work with us and make our lives much easier if we let it. AI can now learn from …
2019-09-16 00:00:00 Read the full story…
Weighted Interest Score: 3.4129, Raw Interest Score: 1.3194,
Positive Sentiment: 0.1675, Negative Sentiment 0.3351

TD’s Dani Fava: 4 Ways Tech Can Boost the Client Experience

it: Wealth/Stack)

Dani Fava, TD Ameritrade Institutional’s head of innovation, is all about making the complex world of technology easy to grasp for RIAs, and that’s just what she did in her talk on artificial intelligence Tuesday at the inaugural Wealth/Stack conference in Phoenix.

Want to get more tech help in your front office from artificial intelligence and other tools? No problem, Fava explained to the crowd of 700-plus advisors and other guests, before outlining the four ways advisors can make this happen.

The reason to move closer to this technology? The survival of your business, the self-proclaimed futu…
2019-09-11 00:00:00 Read the full story…
Weighted Interest Score: 3.2781, Raw Interest Score: 1.3570,
Positive Sentiment: 0.2262, Negative Sentiment 0.0754

Calypso Voted Collateral Management Product of the Year for Fourth Year Running in Asia Risk Awards

San Francisco, CA, 11 September 2019

Calypso Technology Inc., a leading provider of cross-asset front-to-back technology solutions for financial markets announced today that its Collateral Management solution has been named Product of the Year in the Asia Risk Awards, the longest-running and most prestigious awards for firms and individuals involved in Asia’s derivatives markets and risk management.

The three-month long judging process inco…
2019-09-11 00:00:00 Read the full story…
Weighted Interest Score: 3.2534, Raw Interest Score: 1.9717,
Positive Sentiment: 0.3943, Negative Sentiment 0.0329

Executive Interiew: Franziska Bell, Director of Platform Data Science at Uber

If Interested in a Career in Data Science at Uber, Invest in Becoming a Full-Stack Data Scientist with Production-Level Coding Capabilities

Franziska Bell is a Senior Data Science Manager on the Platform Team at Uber, the multinational transportation network company. She strongly believes data science needs to partner with business and be involved in defining business strategy and new projects. Her team comes from a wide range of backgr…
2019-09-12 21:30:09+00:00 Read the full story…
Weighted Interest Score: 3.1556, Raw Interest Score: 1.6437,
Positive Sentiment: 0.2544, Negative Sentiment 0.2055

10 Great Python Resources for Aspiring Data Scientists

This is a collection of 10 interesting resources in the form of articles and tutorials for the aspiring data scientist new to Python, meant to provide both insight and practical instruction when starting on your journey.

By Matthew Mayo, KDnuggets.

Python is one of the most widely used languages in data science, and an incredibly popular general programming language on its own.

Many prospective data scientists are first faced with the issue of…
2019-09-10 00:00:00 Read the full story…
Weighted Interest Score: 3.1339, Raw Interest Score: 1.7733,
Positive Sentiment: 0.1742, Negative Sentiment 0.0950

China’s Privacy Challenges with AI and Mobile Apps

China’s rapidly growing tech economy is now facing some serious questions about the trade-offs involved in the widespread adoption of emerging technologies such as AI. In fact, China’s Ministry of Science and Technology is now leading the debate over the relative benefits and drawbacks of artificial intelligence, with at least some recognition that certain AI applications – such as facial recognition technology – might have some very negative imp…
2019-09-10 11:00:00+00:00 Read the full story…
Weighted Interest Score: 3.1045, Raw Interest Score: 1.2796,
Positive Sentiment: 0.2185, Negative Sentiment 0.3433

The 10 most important moments in AI (so far)

This article is part of Fast Company’s editorial series The New Rules of AI. More than 60 years into the era of artificial intelligence, the world’s largest technology companies are just beginning to crack open what’s possible with AI—and grapple with how it might change our future. Click here to read all the stories in the series.

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Artificial intelligence is still in its youth. But some very big things have already happened. Some of them captured the attention of the culture, while others produced s…
2019-09-16 08:00:17 Read the full story…
Weighted Interest Score: 3.0325, Raw Interest Score: 1.8013,
Positive Sentiment: 0.1681, Negative Sentiment 0.2482

Apple details Overton AI development tool, whose models have processed ‘billions’ of queries

Building, monitoring, and improving machine learning systems is no walk in the park, no matter the circumstances. Data scientists and engineers have to monitor fine-grained quality and diagnose errors in sophisticated apps, not to mention field contradictory or incomplete corpora. To ease the development burden somewhat, Apple developed Overton, a framework intended to automate AI system lifecycles by providing a set of novel high-level abstraction…
2019-09-13 00:00:00 Read the full story…
Weighted Interest Score: 2.9843, Raw Interest Score: 1.8164,
Positive Sentiment: 0.1227, Negative Sentiment 0.1964

Handling Truth by Embedding ML into Databases

Machine learning helps organizations handle the truth by enabling them to create an accurate data model from among huge stores of data and then build processes that are constantly improving through input from the community.

This is easier said than done, however, because today’s ML tools ecosystem is incredibly complex, and organizations often don’t have people with the skills to navigate it. In addition, organizations have a difficult time trus…
2019-09-09 00:00:00 Read the full story…
Weighted Interest Score: 2.9767, Raw Interest Score: 2.0502,
Positive Sentiment: 0.4457, Negative Sentiment 0.1486

IDAS: ‘Automagic’ HPC With Training Wheels

High-performance computing (HPC) for research is notorious for having steep barriers to entry. For this reason, high-tech disciplines were early adopters, have used the most cycles and typically drove hardware and software purchasing decisions. But as more fields engage with data-intensive research and artificial intelligence (AI) workflows, data-center hardware and software landscapes are changing to meet a larger and more diverse community of p…
2019-09-12 00:00:00 Read the full story…
Weighted Interest Score: 2.8963, Raw Interest Score: 1.6024,
Positive Sentiment: 0.0763, Negative Sentiment 0.0763

Good, Clean Data: How to Get Your Organization’s Data in Tip-Top Shape

Click to learn more about author Paul Barba.

As the type and volume of data we deal with increases, so does the challenge of managing and cleaning it. Unstructured data, data from multiple sources, and data whose values continually change all create “messiness” – datasets riddled with noise, inaccuracies, and duplications.

This is a big problem for organizations that rely on data to make business decisions or maintain their day-to-day operation…
2019-09-16 07:30:03+00:00 Read the full story…
Weighted Interest Score: 2.8370, Raw Interest Score: 1.3138,
Positive Sentiment: 0.2231, Negative Sentiment 0.4090

Train and Deploy the Mighty BERT based NLP models using FastBert and AWS SageMaker

Train and Deploy the Mighty BERT based NLP models using FastBert and AWS SageMaker Kaushal Trivedi Follow Sep 12 · 8 min read

FastBert — The story so far…

In my earlier introduction to FastBert, I described it as a library that will allow developers and data scientists to train and deploy BERT based models for NLP tasks beginning with Text Classification. The scope of BERT (read Transformers) based models have widened a bit since I wrote my ear…
2019-09-16 06:31:04.961000+00:00 Read the full story…
Weighted Interest Score: 2.8048, Raw Interest Score: 1.8139,
Positive Sentiment: 0.0661, Negative Sentiment 0.0094

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…
Weighted Interest Score: 2.6801, Raw Interest Score: 1.6779,
Positive Sentiment: 0.2517, Negative Sentiment 0.1678

Syncsort Buys Pitney Bowes’ Software Solutions Business

Syncsort has signed a definitive agreement to acquire Pitney Bowes’ Software Solutions business. The transaction is expected to close by the end of the calendar year, pending regulatory approvals and other customary closing conditions.

The acquisition is Syncsort’s largest ever and will add best-in-class location intelligence, data enrichment, customer information management, and customer engagement solutions that are highly complementary to its…
2019-09-16 00:00:00 Read the full story…
Weighted Interest Score: 2.6782, Raw Interest Score: 1.6542,
Positive Sentiment: 0.5514, Negative Sentiment 0.0788

Strategic Elements Ltd AI and robotics company enters defence tech program

Stealth Technologies’ innovative defence technology proposition will form part of the ON Prime: Defence Program.

The ON Prime: Defence Program aims to deliver game-changing defence capabilities

’s ( ) AI and robotics company Stealth Technologies has entered a defence tech program that has the potential to “deliver real impact for Australia’s national security and defence”.

A team from Stealth Technologies has commenced the ON Prime: Defence Pr…
2019-09-16 00:00:00 Read the full story…
Weighted Interest Score: 2.6623, Raw Interest Score: 1.5297,
Positive Sentiment: 0.2699, Negative Sentiment 0.0900

Info-Tech Research Group Announces Exceptional Start to Member Acquisition in Australia and New Zealand (ANZ)

SYDNEY & TORONTO–(BUSINESS WIRE)–#infotechresearchgroup–Info-Tech Research Group, which launched operations in Australia and New Zealand (ANZ) in early 2019 with a new office opening in Sydney, has announced an exceptional start, with the launch of multiple client engagements and new member acquisitions in the region.

Already serving more than 100 members in ANZ, Info-Tech Research Group is further solidifying its regional focus with a strong…
2019-09-16 00:00:00 Read the full story…
Weighted Interest Score: 2.6545, Raw Interest Score: 1.3730,
Positive Sentiment: 0.3204, Negative Sentiment 0.1144

Windermere spinout MoxiWorks raises cash from Vector Capital to grow tech platform for brokerages

MoxiWorks, a Seattle startup that operates a platform for real estate brokers, has raised cash from private equity firm Vector Capital. The company declined to reveal the size of the “meaningful” stake or the terms of the deal.

The startup plans to use the funds toward product development, sales and marketing efforts, as well as potential acquisitions.

“We are thrilled to be adding Vector Capital, an experienced investor and premier financial p…
2019-09-12 17:26:10-07:00 Read the full story…
Weighted Interest Score: 2.6537, Raw Interest Score: 1.5164,
Positive Sentiment: 0.1264, Negative Sentiment 0.0842

The Ultimate Guide to Learning Artificial Intelligence in 2019

Artificial intelligence is arguably the future of technology and a lot of developers are interested in the field. But the major problem seems to be how to get started.

There are not a lot of detailed and comprehensive articles about how to learn artificial intelligence on the open web. Not enough articles that just hit the nail on the head and tell you exactly what you need to know and do to get started in artificial…
2019-09-16 13:22:39+00:00 Read the full story…
Weighted Interest Score: 2.5963, Raw Interest Score: 1.7088,
Positive Sentiment: 0.2567, Negative Sentiment 0.2652

Hitachi Vantara Brings Industrial IoT to the Production Floor With Lumada Manufacturing Insights

ced Lumada Manufacturing Insights, a suite of industrial internet-of-things (IoT) solutions that empower the manufacturing industry to achieve transformative outcomes from data-driven insights. Using artificial intelligence (AI), machine learning (ML) and DataOps, Lumada Manufacturing Insights optimizes machine, production and quality outcomes to set the foundation of digital innovation that is essential to Manufacturing 4.0.”

Brad Surak, chief product and strategy officer at Hitachi Vantara, said, “Data and analytics have the power to modernize and transform manufacturing operations. But for too many manufacturers…
2019-09-16 07:15:12+00:00 Read the full story…
Weighted Interest Score: 2.5408, Raw Interest Score: 1.5152,
Positive Sentiment: 0.6061, Negative Sentiment 0.1212

Loss Change Allocation(LCA) For Transparent Machine Learning Training

Whether it is the market crash or a wrong diagnosis, the after-effects will be certainly irreversible. Hence, tracking the development of machine learning algorithm throughout its life cycle becomes crucial. Neural network activations have an underlying compositional, combinatorial structure.

Visualising the behaviour of neural networks has been of great interest lately for two reasons — to have a glimpse at how intelligence in its fundamental form appears to be and to analyse the neurons for improvement (avoiding misclassification etc.) of the ne…
2019-09-16 08:30:59+00:00 Read the full story…
Weighted Interest Score: 2.5374, Raw Interest Score: 1.5887,
Positive Sentiment: 0.1816, Negative Sentiment 0.4539

Predicting Battery Lifetime with CNNs

Predicting Battery Lifetime with CNNs

Analyzing sequential data with TensorFlow 2

Photo from Fancycrave

This article was written by Hannes Knobloch, Adem Frenk, and Wendy Chang.

You can find the source code of this project on GitHub:

Lithium-ion batteries power almost every electronic device in our lives, including phones and laptops. They’re at the heart of renewable energy and e-mobility. For years companies have tried to predict how many …
2019-09-16 11:56:41.183000+00:00 Read the full story…
Weighted Interest Score: 2.5045, Raw Interest Score: 1.4036,
Positive Sentiment: 0.1962, Negative Sentiment 0.2188

AI Alien Limb Syndrome and Autonomous Self-Driving Cars

By Lance Eliot, the AI Trends Insider

[Ed. Note: For reader’s interested in Dr. Eliot’s ongoing business analyses about the advent of self-driving cars, see his online Forbes column: https://forbes.com/sites/lanceeliot/]

“Their hands did it.”

That’s what my children told me when they were quite young and had managed to put their hands onto wet paint.

We had been taking a leisurely stroll in our quiet neighborhood and a homeowner had opted to …
2019-09-10 16:00:38+00:00 Read the full story…
Weighted Interest Score: 2.3979, Raw Interest Score: 0.8258,
Positive Sentiment: 0.0853, Negative Sentiment 0.3078

Adobe Adds Photoshop Tools to Retail Analytics

Adobe, the content manager that has increasingly been migrating toward digital marketing, is attempting to bring its popular Photoshop capabilities to bear in its updated retail analytics platform.

San Jose-based Adobe (NASDAQ: ADBE) said Tuesday (Sept. 10) its analytics framework provides a fuller picture of customer preferences based on upgrades that attempt to leverage Photoshop’s foundational logic and functionality. Those analytics tools ru…
2019-09-10 00:00:00 Read the full story…
Weighted Interest Score: 2.3920, Raw Interest Score: 1.3997,
Positive Sentiment: 0.2488, Negative Sentiment 0.0311

SoftBank uses ‘capital as a weapon’ and competitors don’t know how to react, says legendary tech investor Bill Gurley

SoftBank uses “capital as a weapon,” posing one of the biggest challenges corporate boards have ever had to face, said Bill Gurley, whose venture firm, Benchmark, is one of the largest investors in Uber and WeWork.

“If they enter your market, I don’t care what industry you’re in and I don’t care if they invest in you. If they invest in a competitor, you’re engaged in a game,” Gurley said on Tuesday on CNBC’s “Halftime Report.” He was referring t…
2019-09-10 00:00:00 Read the full story…
Weighted Interest Score: 2.2919, Raw Interest Score: 1.3564,
Positive Sentiment: 0.2806, Negative Sentiment 0.2339

Searching for Pulsars with Machine Learning

A GUIDE TO STAR FINDING Searching for Pulsars with Machine Learning Lets find these stars Frank Ceballos Follow Jul 28 · 10 min read

Photo by Donald Giannatti on Unsplash

Purpose: Searching for pulsars is a labor-intensive process that requires experienced astronomers and trained volunteers for their classification. In this article, we implement machine learning techniques to facilitate the process. Materials and methods: The propose work will be develop and te…
2019-09-14 17:04:30.817000+00:00 Read the full story…
Weighted Interest Score: 2.2706, Raw Interest Score: 1.2700,
Positive Sentiment: 0.2039, Negative Sentiment 0.2039

Nuance Expands Open Architecture to Deliver Enterprise-Grade Conversational AI

A new press release reports, “Nuance Communications, Inc., a leader in conversational AI innovations, today announced the Nuance Intelligent Engagement Platform will expand its open, cloud-agnostic framework, adding new Intelligent Engagement Services and broadening back-end integration capabilities – allowing organizations around the globe to leverage Nuance’s decades of experience building conversational AI technologies while modernizing the re…
2019-09-13 07:15:46+00:00 Read the full story…
Weighted Interest Score: 2.2501, Raw Interest Score: 1.1399,
Positive Sentiment: 0.4663, Negative Sentiment 0.0000

Australians less satisfied with government digital services: Accenture Global Survey

Nearly a quarter of Australians are yet to use a government digital service, and of those that do only a little more than half are satisfied with the experience. The rate, based on a survey by Accenture, is worse than all other countries included in the study: the US, UK, Germany and Singapore .

The survey queried over 5,000 citizens across the five countries to determine current levels of citizen engagement with digital government services, the…
2019-09-16 01:00:34+10:00 Read the full story…
Weighted Interest Score: 2.2259, Raw Interest Score: 1.3646,
Positive Sentiment: 0.5506, Negative Sentiment 0.0479

The Role of Big Data In The Maintenance Industry

As industry buzzwords, “Big Data” is one of those phrases that has become seemingly ubiquitous. Everyone wants to be using big data to better their operation. The maintenance department is no exception to this trend.

Accordingly, maintenance teams are beginning to embrace the use of big data and analytics to improve performance. In emphasizing the use of “big data”, maintenance can establish predictive maintenance programs, whi…
2019-09-13 22:10:10+00:00 Read the full story…
Weighted Interest Score: 2.1730, Raw Interest Score: 1.2909,
Positive Sentiment: 0.2582, Negative Sentiment 0.4733

The Finanser’s Week: 9th September – 15th September 2019

The main blog headlines are …

Elvis seen opening a bank account in Hawaii

As it’s Friday, a slightly more whimsical post. I was amused to see a story floating around the internet yesterday that read like this: ‘Missing’ woman mystery solved A group of tourists spent hours Saturday night looking for a missing woman near Iceland’s Eldgja canyon, …

We’re just a technology company that happens to have a banking licence

I hear this a lot, and don’…
2019-09-15 06:54:34+00:00 Read the full story…
Weighted Interest Score: 2.1272, Raw Interest Score: 1.2960,
Positive Sentiment: 0.1157, Negative Sentiment 0.3240

AI will read ECG, detect heart attack risk

Artificial Intelligence (AI) has applications in not just business and gaming but even health and fitness. It can predict threats to your health with increasing accuracy – one such health risk is a heart attack.

Around 7.4 million people are living with heart disease in the UK, according to the British Heart Foundation. Each day, 460 people die of heart attacks – one every three minutes. This is why proper prediction o…
2019-09-16 05:32:49+01:00 Read the full story…
Weighted Interest Score: 2.1192, Raw Interest Score: 1.7723,
Positive Sentiment: 0.0443, Negative Sentiment 0.2215

Machine Learning Engineers: How Much Can They Make?

Machine learning is one of the hottest topics in tech at the moment. Companies are hungry to hire professionals with machine-learning knowledge, even if it costs them quite a bit more than a “standard” technologist salary.

The just-released IEEE-USA Salary & Benefits Salary suggests that engineers with machine-learning knowledge are making an average of $185,000 per year. That places them second among the survey’s top-paid engineering jobs; only…
2019-09-13 00:00:00 Read the full story…
Weighted Interest Score: 2.1011, Raw Interest Score: 1.8519,
Positive Sentiment: 0.0992, Negative Sentiment 0.0661


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