AI & Machine Learning News. 25, November 2019

The Artificial Intelligence and Machine Learning Newsletter by CloudQuant

The Artificial Intelligence and Machine Learning News clippings for Quants are provided algorithmically with CloudQuant’s NLP engine which seeks out articles relevant to our community and ranks them by our proprietary interest score. After all, shouldn’t you expect to see the news generated using AI?

7 Fun Comic Illustrations That Best Describe Machine Learning

Comics and cartoons have been the go-to medium whenever the message has been difficult to convey; or even when words were inadequate. They have been used to entertain and educate for a long time now. Comics are now put into practice in a true pedagogical sense for addressing most advanced topics like machine learning that are usually less intuitive.

Here we list down such fine illustrations that combine wits and wisdom in illustrations that are visually lucid yet economical with word.
2019-11-23 10:00:00+05:30 Read the full story…
Weighted Interest Score: 2.9302, Raw Interest Score: 1.3837,
Positive Sentiment: 0.1441, Negative Sentiment 0.2018

CloudQuant Thoughts : So… Google has created Comics to explain Machine Learning and Kubernetes. Kudos! But xkcd is still the best.

Alternative Data Goes Mainstream in Financial Services

Hundreds of years of financial transactions have created well-worn paths for commerce to be conducted. Companies have been quite comfortable operating within the limits defined by these routes, largely because they’re well-known and everybody agrees on them. But the e-commerce explosion has not only blown up the old transaction paths, but it’s giving companies new data sources from which to make decisions. This is the heart of the alternative data revolution.

Wall Street is designed to reward those who find better ways of assessing risk, and punish those who don’t. Investment firms zealously protect their own data, but are constantly seeking new sources of data that will give their quantitative analysts an edge in decision-making. There’s a lot of structured market data that’s freely available on the Web, and still other data sets that are available with a subscription. But firms that want to truly differentiate themselves are now looking to alternative data for competitive advantage.

Alternative data is any non-standard piece of data that can be used to inform decision-making. That could include data scraped from the Web, from social media, geo-spatial data from telecom providers, weather data, and even photographs taken from drones or satellites. Alternative data is not strictly relegated to the financial services domain, but it’s quite often associated with the quantitative work of banks, hedge funds, and other financial firms.
2019-11-21 00:00:00 Read the full story…
Weighted Interest Score: 5.8900, Raw Interest Score: 1.8833,
Positive Sentiment: 0.0984, Negative Sentiment 0.0984

CloudQuant Thoughts : Alternative data is the now and the future for anyone making trading decisions from the high street up to the stock market. ETL issues and data quality issues have plagued early adopters and whilst many of those issues have been resolved there is still no agreed standard and no way to know if the data you are examining is worthwhile or has already had its Alpha extracted. CloudQuant aims to bring a consistent approach with our Liberator API and our independent evaluation of Data Providers’ claims. Head over to our data catalog for more information.

Get Ready For These Six 2020 Business Intelligence Trends

More and more often, businesses are using data to drive their decisions — which makes cutting-edgeanalytics and business intelligence strategies one of the best advantages a company can have. New technologies, especially those driven by artificial intelligence (or AI), are changing how businesses collect and extract usable insights from data.

Here are the six trends you should be aware of that will reshape business intelligence in 2020 and throughout the new decade:

  1. New Avenues of Data Discovery
  2. AI-Powered Big Data Technology
  3. Predictive Business Analytics
  4. Natural Language Processing and Report Generation
  5. The Growing BI Analyst Shortage
  6. General-Audience AI Tools

2019-11-25 12:18:52+00:00 Read the full story…
Weighted Interest Score: 4.7732, Raw Interest Score: 2.3133,
Positive Sentiment: 0.1812, Negative Sentiment 0.2787

CloudQuant Thoughts : It looks like every single one of those is AI or ML based!

AI is data Pac-Man. Winning requires a flashy new storage strategy.

When it comes to data, AI is like Pac-Man. Hard disk drives, NAS, conventional data center and cloud-based storage schemes can’t sate AI’s voracious appetite for speed and capacity, especially for real time. Playing the game today requires a fundamental rethinking of storage as a foundation of machine learning, deep learning, image processing, and neural network success.

“AI and Big Data are dominating every aspect of decision-making and operations,” says Jeff Denworth, vice president of products and co-founder at Vast Data, a provider of all-flash storage and services. “The need for vast amounts of fast data are rendering the traditional storage pyramid obsolete. Applying new thinking to many of the toughest problems helps simplify the storage and access of huge reserves of data, in real time, leading to insights that were not possible before.”

2019-11-22 00:00:00 Read the full story…
Weighted Interest Score: 3.4264, Raw Interest Score: 1.2868,
Positive Sentiment: 0.1987, Negative Sentiment 0.1608

CloudQuant Thoughts : A smart hospital will generate 3,000 GB/day, A self-driving car will generate over 4,000 GB/day, A connected airplane will generate 5,000 GB/day, A connected factory will generate 1 million GB/day, Simple facial recognition to identify a man or woman needs roughly 100 million images. These are staggering numbers. New data storage techniques will have to be created or we will have to get much better at throwing away useless information. I am reminded of the music industry and it obsession with quality – SuperCD – which gave us more data, more fidelity, whilst the users were happy with something better than Tape/Record and almost as good as CD – MP3 – which threw away sounds and frequencies we could not hear.

Building the AI-Powered Organization (upcoming Harvard Webinar)

Artificial intelligence is reshaping business. The technologies that enable AI are rapidly advancing and McKinsey estimates that AI will add $13 trillion to the global economy over the next decade. Yet, despite the promise of AI, many organizations’ AI efforts are falling short. McKinsey’s research shows that only 8% of companies engage in core practices that support widespread AI adoption. Most firms have run only ad hoc pilots or are applying AI in just a single business process.

Why the slow progress to implement this game-changing technology? McKinsey’s AI experts have concluded that the fundamental problem is a failure to rewire the organization.
2019-11-21 17:00:00+00:00 Read the full story…
Weighted Interest Score: 6.0146, Raw Interest Score: 1.6413,
Positive Sentiment: 0.5471, Negative Sentiment 0.3647

Citi announces winners of Mena fintech challenge

The joint solution presented by UK based Wipro Limited, a leading global information technology, consulting and business process services company and Traydstream, a rapidly growing fintech with multi-cloud-enabled trade automation platform, were among the winners for Trade Finance Automation in the Citi MENA Fintech Challenge. Other winners included PaySky and Fawry, from Egypt and Octet from Turkey.

The Citi MENA Fintech Challenge offered the region’s Fintech community the opportunity to put their ideas into practice and come up with innovative solutions around four identified problem statements: Digitizing Cash Collections; Assured Payments; B2B2C Enablement and Digitizing Trade Processes.

2019-11-25 12:13:00 Read the full story…
Weighted Interest Score: 4.9489, Raw Interest Score: 2.0366,
Positive Sentiment: 0.6017, Negative Sentiment 0.2083

McKinsey survey: AI boosts revenue, but companies struggle to scale use

The latest McKinsey Global Survey released today found that artificial intelligence is having a positive impact on business outcomes, with 63% of respondents reporting an increase in revenue after adoption of the technology. However, only 30% of companies apply AI to multiple business units, up from 21% last year. Still, overall AI adoption is on the rise — in standard business practices it’s up near 25%, according to the online survey of 2,360 business leaders from a range of industries and global regions.

The report also found a number of striking differences between companies deploying several AI systems to business operations and those that are not. Companies that are considered high performers or AI power users by the study on average apply the technology to 11 use cases compared to three use cases at other companies using machine intelligence. The high performers were also more likely to report revenue increases from AI applications of over 10%.
2019-11-22 00:00:00 Read the full story…
Weighted Interest Score: 4.5655, Raw Interest Score: 1.7607,
Positive Sentiment: 0.1651, Negative Sentiment 0.0825

Failure to Scale AI Could Put 75 Per Cent of Organisations Out of Business, says Accenture

Three-quarters of C-level executives believe if they don’t move beyond experimentation to aggressively deploy artificial intelligence (AI) across their organisations they risk going out of business by 2025, according to a newly released study from Accenture. The report, titled “AI: Built to Scale” and produced by Accenture Strategy and Accenture Applied Intelligence, is based on a global survey of 1,500 C-level executives across 16 industries designed to understand how companies are implementing AI across their organisations.

The research found 84 per cent of C-level executives believe they won’t achieve their business strategy without scaling AI, yet only 16 per cent have made the shift from mere experimentation to creating an organisation powered by robust AI capabilities. As a result, this small group of top performers is achieving nearly three times the return from AI investments as their lower-performing counterparts.
2019-11-22 11:23:57+11:00 Read the full story…
Weighted Interest Score: 4.4914, Raw Interest Score: 1.5688,
Positive Sentiment: 0.2377, Negative Sentiment 0.0713

RBC backs university programme on ethics in AI and data analytics

Royal Bank of Canada (RBC) is joining forces with Western University on a programme exploring the ethical and social aspects of data analysis and AI.

The bank is pumping $3 million into the RBC Data Analytics and Artificial Intelligence project at the Ontario university as part of what it calls its commitment to Canada’s technology talent ecosystem and preparing future leaders for the AI and data-centric future.

In addition to two courses, the partnership sees RBC set up two scholarship funds in data science and software engineering, available to third year students in relevant subjects. Meanwhile, a “design thinking program” available to all students will see successful applicants get a stipend and the chance for an RBC internship.
2019-11-22 15:05:00 Read the full story…
Weighted Interest Score: 4.4079, Raw Interest Score: 2.0422,
Positive Sentiment: 0.2635, Negative Sentiment 0.0000

Syniti Releases Data Replication Solution, Offers Free Trial

Syniti, a global data management solution provider, is releasing the Syniti Data Replication 9.6 software solution, a flexible platform that provides fast up-to-the-minute data replication with real-time change data capture.

Available on premise or in the cloud, Syniti Data Replication enables successful management of data growth, faster synchronization and integration, and analysis of data.

The solution supports high volumes of data, making it…
2019-11-22 00:00:00 Read the full story…
Weighted Interest Score: 4.1076, Raw Interest Score: 2.5496,
Positive Sentiment: 0.3541, Negative Sentiment 0.0000

Why Should You Learn Python For Data Science?

If you’re looking for an exciting new career that offers tremendous growth opportunity, look no further than the data science industry. Today, organizations of all sizes rely on the insights they extract from the data they have to measure progress, make informed decisions, plan for the future, and so on. Data scientists are the people who process and organize the data with scientific methods, algorithms, and other techniques. Daily, they sift through large data sets, extract what matters, and provide businesses with clear, easy-to-understand insights.
2019-11-25 11:00:00+05:30 Read the full story…
Weighted Interest Score: 4.0176, Raw Interest Score: 2.0696,
Positive Sentiment: 0.4750, Negative Sentiment 0.1018

Barclays’ Gordon: Risk managers to be trained in Python and R

Financial institutions must look to educate existing staff on data practices before hiring more data scientists, agreed a panel at the Financial Information Management conference in central London this week.

Simon Gordon, head of risk information services at Barclays said the bank has begun a process of training its staff in computing programming languages.

“I use the data to ask a lot of questions around risk, around our portfolio, where we are exposed, and really just looking for very quick answers. I don’t mind what solutions or software they are using… it’s just ‘can I trust the data?’ and ‘can I make some key decisions with that data?’ and the faster I get that answer back with certainty, the happier I am,” said Gordon.
2019-11-20 00:00:00 Read the full story…
Weighted Interest Score: 4.0132, Raw Interest Score: 2.3593,
Positive Sentiment: 0.1242, Negative Sentiment 0.2483

Indeed Tech Skills Explorer: Today’s Top Tech Skills

  • SQL and Java are the top two tech skills employers want, according to millions of US job postings on between 2014 and 2019.
  • Python is the third most common skill, posting strong growth driven partly by data science jobs.
  • Amazon Web Services (AWS), at number six, has had even more spectacular growth.

Skills are everything in the tech world. But which skills exactly? What are the tech skills most in demand today? Looking at the millions of US tech jobs posted on over the past five years offers some answers.

2019-11-19 00:00:00 Read the full story…
Weighted Interest Score: 3.9751, Raw Interest Score: 2.4694,
Positive Sentiment: 0.2008, Negative Sentiment 0.1004

10 AI Applications That Can Generate Code Themselves

Most of the time organisations have to deal with tough problems like errors, defects, and other complexities while developing intricate software. This is where self-coded applications come into play. Applications that generate the code themselves not only help the programmers to accomplish a task in less time but also increase the programming ability of the developer.

In this article, we list down 10 artificial intelligence applications which can generate the codes:

2019-11-25 18:00:00+05:30 Read the full story…
Weighted Interest Score: 3.8914, Raw Interest Score: 2.2587,
Positive Sentiment: 0.1492, Negative Sentiment 0.2131

The Airbnb Data Scientist Interview

Airbnb? According to them, “Data is the voice of the customer and data science is the interpretation of the voice”. Airbnb takes pride in letting the general public know about their data science and machine learning teams that power their marketplace products. A data scientist at Airbnb is someone who is well versed in handling and processing large amounts of data and interpreting it to the business functions.

  • A data scientist at Airbnb has the responsibility of:
  • Organizing data and creating ETL pipelines.
  • Analyzing, processing, and visualizing the data into useful information.

2019-11-25 05:16:19.988000+00:00 Read the full story…
Weighted Interest Score: 3.7649, Raw Interest Score: 1.8036,
Positive Sentiment: 0.0492, Negative Sentiment 0.4427

Financial services take lessons from machine learning

Open Banking promises increased access to customer data, but with newfound transparency comes a greater need to understand how that data is utilised. Together with developments in machine learning (ML), markets are changing.

So far, ML has been used in financial services to manage content and data, detect fraud and money laundering, facilitate biometric identification, trade via algorithms, and assist with regulatory compliance. A survey by the Bank of England, undertaken in the first half of this year, found that two-thirds of UK financial services companies are now using ML. Nineteen pe…
2019-11-25 00:00:00 Read the full story…
Weighted Interest Score: 3.5127, Raw Interest Score: 1.9114,
Positive Sentiment: 0.2963, Negative Sentiment 0.4890

Digital Wealth Management Platforms Improve CX And Financial Advisor Productivity

Wealth and investment management firms want to leverage digital technologies to improve customer experience (CX) across touchpoints and raise the productivity of their advisors. A digitized financial advisor enables advisors to focus on value-added, rather than administrative, tasks. Those seeking broader digital front ends with complementary capabilities, such as a single view on the customer, analytics, and end-to-end functionality and features…
2019-11-19 14:21:08-05:00 Read the full story…
Weighted Interest Score: 3.4726, Raw Interest Score: 2.3288,
Positive Sentiment: 0.2627, Negative Sentiment 0.0876

Machine Learning Market Demonstrates Solid Growth

Machine learning technologies and techniques are giving organizations powerful new ways to utilize the vast amounts of data they’re collecting. According to several reports, ML spending is increasing at a compound annual growth rate (CAGR) of around 25%. That’s benefitting vendors providing ML solutions, which appears to be mostly cloud vendors outside of the HPC segment.

According to Zion Market Research’s July…
2019-11-19 00:00:00 Read the full story…
Weighted Interest Score: 3.4633, Raw Interest Score: 1.8873,
Positive Sentiment: 0.0547, Negative Sentiment 0.1094

Australian Government rejects calls to plough funding into AI

Technology, science and industry minister Karen Andrews has rejected criticism about the government’s lack of funding as part of a national artificial intelligence road map, saying money will be forthcoming once it becomes clear where it should be spent.

The government released a long-awaited report into national AI development earlier this month detailing the potential for creating new industries, but Labor MP Ed Husic said Ms Andrews was “all talk, no action”, and that the government must massively lift national AI investment to avoid being left behind by global peers.

“We as a government are committed to artificial intelligence, and we have injected money into artificial intelligence.”

Minister for Industry, Science and Technology Karen Andrews argues that societal concern around AI and jobs misses the fact that new jobs will be created. Paul Harris

Mr Husic had written in the Financial Review that the fact Prime Minister Scott Morrison had pledged $150 million to support US President Donald Trump’s future Mars ambiti…
2019-11-19 00:00:00 Read the full story…
Weighted Interest Score: 3.3979, Raw Interest Score: 1.7022,
Positive Sentiment: 0.1439, Negative Sentiment 0.2398

How to Become a Data Scientist

What is a data scientist? If you ask the Harvard Business Review, it’s the “sexiest job of the 21st century.” If you ask a technologist interested in crunching data, they’ll tell you it’s a potentially lucrative, intellectually fulfilling career. And if you ask a CEO, they’ll probably say that data scientists mean the difference between strategic success and failure. But how do you actually become one?

At the most basic level, data scientists analyze massive datasets for insights that can change how companies operate and strategize. As terms, “data scientist” and “data science” are relatively new, first appearing a little over a decade ago (roughly around the time that “Big Data” emerged into the mainstream as a buzzword, which isn’t a coincidence). As companies wrestle with ever-expanding databases, data scientists must use a portfolio of tools to figure out what the data means—and then use their “soft skills” such as communication and empathy to convey those insights to company stakeholders.
2019-11-20 00:00:00 Read the full story…
Weighted Interest Score: 3.3252, Raw Interest Score: 1.8908,
Positive Sentiment: 0.1816, Negative Sentiment 0.1618

Using AI to Help Find The Right Customer

Companies are finding unique ways to implement artificial intelligence (AI) in business practices, though the path to implementation hasn’t been an easy one. A major issue stems from current data models being weak. It’s a fair observation, Pawel Osterreicher, Chief Revenue Officer at, said during a seminar at the recent AI World Conference & Expo in Boston.

Usually we face two realities, Osterreicher says. Either customer analytics is very basic, or it’s too complex. Both realities stem from a lack of actionable data, meaning companies are not able to capture reality sufficiently in order to build models on top of the data. “We often only build solutions around customer analytics that tackle one problem, whether it’s analyzing sales trends or one element of customer engagement such as social media. Those are partial analyses, but the fact that they’re done separately makes them only partially useful,” Osterreicher says. “On the other hand, if we want to build a comprehensive tool, the companies usually face the inherent complexities of the data that leads to a somewhat legible solution that’s hard to implement properly.”
2019-11-21 22:30:11+00:00 Read the full story…
Weighted Interest Score: 3.2499, Raw Interest Score: 1.4113,
Positive Sentiment: 0.1283, Negative Sentiment 0.3336

Be a digital bank, don’t just look like one

Digital banking Report points to a competitive advantage in digital disruption

There’s a stark truth in banking: the better your customer experience, the more successful you will be. Recently, McKinsey found that highly satisfied customers are two and a half times more likely to open new accounts or buy new products with their existing bank than those who are merely satisfied. In one Accenture study, 77% of respondents said they were happy to sh…
2019-11-25 11:34:54 Read the full story…
Weighted Interest Score: 3.1729, Raw Interest Score: 1.7963,
Positive Sentiment: 0.5058, Negative Sentiment 0.1918

Reinforcement Learning For Better Recommender Systems

Collaborative Interactive Recommenders (CIRs) are a class of recommender systems that emerged out of the need to make recommendations user-specific. The growth of online services demanded the service providers to up their game by developing strategies to maximise customer engagement.

However, it is machine learning and the results are only as good as the data it is fed. Since humans are the culmination of complex systems, decisions are usually made in a large hazy grey area. This makes human-like intelligence in machines a distant dream. That said, algorithms are being designed to come closer to human-like intelligence.

In an attempt to make better decisions and recommendations, ML developers from Google merged reinforcement learning and recommender systems.

2019-11-21 17:00:14+05:30 Read the full story…
Weighted Interest Score: 3.0481, Raw Interest Score: 1.5812,
Positive Sentiment: 0.2937, Negative Sentiment 0.0904

OpenAI releases Safety Gym for reinforcement learning

on algorithmic scale and sophistication, safety — that is, safeguards against harm — is a domain no less worth pursuing. This is particularly true in applications like self-driving vehicles, where a machine learning system’s poor judgment might contribute to an accident.

That’s why firms like Intel’s Mobileye and Nvidia have proposed frameworks to guarantee safe and logical decision-making, and it’s why OpenAI — the San Francisco-based research firm cofounded by CTO Greg Brockman, chief scientist Ilya Sutskever, and others — today released Safety Gym. OpenAI describes it as a suite of tools for developing A…
2019-11-21 00:00:00 Read the full story…
Weighted Interest Score: 3.0105, Raw Interest Score: 1.2788,
Positive Sentiment: 0.1989, Negative Sentiment 0.5683

Softbank leads $140 million funding round for Brazil start-up VTEX

FILE PHOTO: The logo of SoftBank Group Corp is displayed at SoftBank World 2017 conference in Tokyo, Japan, July 20, 2017. REUTERS/Issei Kato/File Photo

SAO PAULO (Reuters) – Softbank Group Corp said on Friday its Latin American fund is investing 580 million reais ($138 million) in e-commerce software provider VTEX, together with Brazilian funds Gavea Investimentos and Constellation Asset Management.

VTEX provides e-commerce support in Latin Am…
2019-11-22 21:41:35+00:00 Read the full story…
Weighted Interest Score: 2.9991, Raw Interest Score: 2.0638,
Positive Sentiment: 0.0000, Negative Sentiment 0.0000

Wall Street’s war for tech talent is ending as rivals like Morgan Stanley and Goldman Sachs embrace open-source code

Banks and hedge funds have to battle with each other as well as Silicon Valley for top talent. But there’s been something of a truce, with developers from different firms working together on solving shared problems.

Once-secretive firms have started opening their code up to outsiders, including the Fintech Open Source Foundation, which held a forum in New York on Wednesday.

“Software is a new world. You have to be both in it and consuming it,” …
2019-11-24 00:00:00 Read the full story…
Weighted Interest Score: 2.9607, Raw Interest Score: 1.6949,
Positive Sentiment: 0.1169, Negative Sentiment 0.0974

AI Weekly: Multimodal learning is in right now — here’s why that’s a good thing

Data sets are fundamental building blocks of AI systems, and this paradigm isn’t likely to ever change. Without a corpus on which to draw, as human beings employ daily, models can’t learn the relationships that inform their predictions.

But why stop at a single corpus? An intriguing report by ABI Research anticipates that while the total installed base of AI devices will grow from 2.69 billion in 2019 to 4.47 billion in 2024, comparatively few w…
2019-11-22 00:00:00 Read the full story…
Weighted Interest Score: 2.9551, Raw Interest Score: 1.4827,
Positive Sentiment: 0.2118, Negative Sentiment 0.1177

Lisa Fiondella joins Finastra as Chief Data Officer

New hire to develop products using the wealth of data available through Finastra’s platform and cloud-based solutions

London, UK, November 21, 2019 – Finastra has hired Lisa Fiondella as Chief Data Officer to lead its comprehensive data strategy, including how data collected through the platform and various cloud-based solutions, can be best utilized. She will be responsible for developing a data product roadmap and manage t…
2019-11-25 00:00:00 Read the full story…
Weighted Interest Score: 2.9089, Raw Interest Score: 1.6706,
Positive Sentiment: 0.4773, Negative Sentiment 0.0000

Dun & Bradstreet and Quantexa team to provide contextual intelligence for risk management

Dun & Bradstreet and Quantexa have announced a new partnership that aims to empower businesses to make better, context driven decisions using innovative data and analytics to provide a detailed picture of connected relationships.

Global commercial data & analytics firm Dun & Bradstreet, and Quantexa, a contextual decision intelligence software and solutions company, have joined forces to help identify and tackle financial crime by providing mark…
2019-11-20 00:00:00 Read the full story…
Weighted Interest Score: 2.9049, Raw Interest Score: 2.0714,
Positive Sentiment: 0.4848, Negative Sentiment 0.3085

AVGO Pushes Higher on Morgan Stanley’s Top Pick Designation

kerage firm cited overly pessimistic sentiment around the security, writing that it’s bullish on Broadcom’s software business, which should have the company well-positioned to benefit from the era of big data.

Speaking of sentiment, call buying has been very popular in recent weeks at the International Securities Exchange (ISE), Cboe Options Exchange (CBOE), and NASDAQ OMX PHLX (PHLX), but near-term open interest is still unusually put-heavy. This is according to AVGO’s Schaeffer’s put/call open interest ratio (SOIR) of 1.19, which ranks in the 84th annual percentile. This skew is due to the heavy pu…
2019-11-19 00:00:00 Read the full story…
Weighted Interest Score: 2.8309, Raw Interest Score: 1.4925,
Positive Sentiment: 0.1421, Negative Sentiment 0.0711

3 Things to Watch in the Stock Market This Week

Stocks edged lower last week to leave both the S&P 500 (SNPINDEX:^GSPC) and the Dow Jones Industrial Average (DJINDICES:^DJI) near record territory and up sharply this year with just a few weeks left in 2019.

Third-quarter earnings season will continue to grab headlines in the week ahead, and below we’ll look at the metrics that could send shares of Ambarella (NASDAQ:AMBA), Best Buy (NYSE:BBY) and Autodesk (NASDAQ:ADSK) moving over the next few …
2019-11-25 00:00:00 Read the full story…
Weighted Interest Score: 2.8095, Raw Interest Score: 1.6188,
Positive Sentiment: 0.4745, Negative Sentiment 0.0558

Building Ethical AI for Talent Management

Realistically, we have a greater ability to ensure both accuracy and fairness in AI systems than we do over recruiters and hiring managers. To do this, organizations using AI for talent management, at any stage, should start by taking the following steps. First, focus on designing systems designed to show causation over correlation. If a candidate has an attribute that is associated with success in a role, the organization needs to be able to exp…
2019-11-21 13:25:26+00:00 Read the full story…
Weighted Interest Score: 2.7583, Raw Interest Score: 0.9708,
Positive Sentiment: 0.2595, Negative Sentiment 0.3076

Selecting a Data Lake ETL Platform? Here Are 6 Questions to Ask

Not all data lakes are created equal. If your organization wants to adopt a data lake solution to simplify and more easily operate your IT infrastructure and store enormous quantities of data without requiring extended data transformation, then go for it.

But before you do, understand that simply dumping all your data into object storage such as AWS S3 doesn’t exactly mean you will have a working data lake.

The ability to use that data in analy…
2019-11-22 00:00:00 Read the full story…
Weighted Interest Score: 2.7513, Raw Interest Score: 1.5830,
Positive Sentiment: 0.1799, Negative Sentiment 0.1979

This Is Why The Big Intel Rally May Be A Mirage

Investors really want to believe Intel is finally putting its failures in the rearview mirror.

The Santa Clara, Calif., company reported better-than-expected financial results Oct. 24. Shares of the semiconductor giant promptly surged 8% as managers raised guidance for the rest of the year.

FILE – In this Oct. 1, 2019, file photo the symbol for Intel appears on a screen at the Nasdaq … [+] MarketSite, in New York. Intel Corp. reports financia…
2019-11-24 00:00:00 Read the full story…
Weighted Interest Score: 2.6965, Raw Interest Score: 1.4724,
Positive Sentiment: 0.1951, Negative Sentiment 0.1774

Executive Interview: Robert Joseph, Director, Industry Strategy for Industry 4.0, Stanley Black & Decker

Implementing IIoT at a 175-year old company requires a broad range of skills, and a concentration on IT as well as AI

Robert Joseph, Director, Industry Strategy for Industry 4.0, Stanley Black & Decker, is a data scientist working on implementing the Industrial Internet of Things (IIoT) at Black & Decker. His career spans experience at AT&T Bell Laboratories, US West, Sony, Freshwater Software, and for school districts across the country. Also, …
2019-11-21 22:30:32+00:00 Read the full story…
Weighted Interest Score: 2.6591, Raw Interest Score: 1.2791,
Positive Sentiment: 0.1528, Negative Sentiment 0.1689

AIOps Startup with ‘Open’ Emphasis Raises Cash

ech investors are betting that automated IT operations will be among the first significant enterprise applications for AI.

Artificial intelligence for IT operations, or AIOps, and the application of machine learning to data is beginning to attract venture capital as investors look for nuts-and-bolts automation applications that will deliver quick returns on investment.

The latest beneficiary is BigPanda, an autonomous operations startup, which this week announced a $50 million funding round. The Series C investment will be used to extend its “open” AIOps platform from IT and network operations through to De…
2019-11-21 00:00:00 Read the full story…
Weighted Interest Score: 2.6078, Raw Interest Score: 1.7761,
Positive Sentiment: 0.0000, Negative Sentiment 0.2346

Calypso Tops Two Categories in Bobsguide 2019 Software Rankings: Regulatory Compliance and Integration with Other Systems

Calypso Technology Inc., a leading provider of cross-asset front-to-back technology solutions for financial markets, announced today that its solution has been ranked number one in the ‘Regulatory Compliance’ and ‘Integration with other Systems’ categories in the Bobsguide Software rankings for 2019. Calypso also ranked second for ‘Degree of Straight-through Processing (STP)’.

Highly regarded in the industry, the Bobsguide Software Rankings ar…
2019-11-22 00:00:00 Read the full story…
Weighted Interest Score: 2.5890, Raw Interest Score: 1.3916,
Positive Sentiment: 0.4207, Negative Sentiment 0.0971

Expanding Your Data Science and Machine Learning Capabilities

Expanding Your Data Science

and Machine Learning Capabilities


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 dat…
2020-06-11 00:00:00 Read the full story…
Weighted Interest Score: 2.5744, Raw Interest Score: 1.7004,
Positive Sentiment: 0.2429, Negative Sentiment 0.0810

Unlocking the Power of DataOps

DBTA ROUNDTABLE WEBINAR THURSDAY, MAY 7, 2020 – 11:00 am PT / 2:00 pm ET

A new methodology is on the rise at insights-hungry enterprises looking to bring improved quality and reduced cycle times to data analytics. Borrowing from Agile Development, DevOps and statistical process control, DataOps is poised to revolutionize data analytics with its eye on the entire data lifecycle, from data preparation, to reporting. However, improving the flow of data between managers and consumers within an organization through greater communication, integration and automation is no simple task, and it requires cultural ch…
2020-05-07 00:00:00 Read the full story…
Weighted Interest Score: 2.5234, Raw Interest Score: 1.4953,
Positive Sentiment: 0.6542, Negative Sentiment 0.0000

Automation Anywhere raises $290 million at a $6.8 billion valuation

Robotic process automation (RPA), or bots that can be programmed to perform tedious and mundane tasks, is undergoing a period of explosive growth. Deloitte reports that 53% of companies have begun deploying it and that 78% of adopters will invest more in RPA in the next three years. In fact, assuming the current trend continues, it’s anticipated that RPA will achieve “near universal adoption” within five years.

One of the incumbents in the space…
2019-11-21 00:00:00 Read the full story…
Weighted Interest Score: 2.4600, Raw Interest Score: 1.4850,
Positive Sentiment: 0.2735, Negative Sentiment 0.0391

Automation Anywhere Announces $290 Million in Series B Funding

Automation Anywhere, a noted Robotic Process Automation (RPA), announced this week that it has received $290 million in Series B funding at a post-money valuation of $6.8 billion. The funding was led by Salesforce Ventures with additional funding from existing investors, including Softbank Investment Advisers and Goldman Sachs.

The new capital will help Automation Anywhere accelerate its vision to empower customers to automate end-to-end busines…
2019-11-22 15:42:42+05:30 Read the full story…
Weighted Interest Score: 2.4524, Raw Interest Score: 1.8668,
Positive Sentiment: 0.6589, Negative Sentiment 0.0366

Alphabet’s trash-sorting robots have reduced office waste contamination to ‘less than 5%’

Alphabet’s X team for moonshot projects has been using robots to sort compost, recycling, and landfill waste in initial use at X company offices in recent months. The robots on wheels can drive to trash sites in the Mountain View, California office and sort recycling and trash using a combination of computer vision and a robotic arms.

The news today came as Alphabet unveiled the Everyday Robot Project, a moonshot to make robots augment human act…
2019-11-21 00:00:00 Read the full story…
Weighted Interest Score: 2.4165, Raw Interest Score: 1.5955,
Positive Sentiment: 0.0515, Negative Sentiment 0.0515

The Rise And Rise Of PyTorch

Since the release of PyTorch in 2016, it is on a rollercoaster ride as its adoption among developers and researchers is continually increasing. Although it was released long after one of the most popular deep learning frameworks TensorFlow, over the years, PyTorch has quickly gained grounds and has overtaken advantage its competitors had due to their early release.

Numerous organisations are utilising PyTorch in their business processes to innov…
2019-11-25 16:00:00+05:30 Read the full story…
Weighted Interest Score: 2.4099, Raw Interest Score: 1.3095,
Positive Sentiment: 0.5124, Negative Sentiment 0.0759

For Banks, Data Privacy and Anti-Money Laundering Don’t Have to Be Incompatible

Every year, terrorists, drug lords, human traffickers, and other assorted criminals launder some $1.6 trillion in illicit funds across the globe. New advances in artificial intelligence and machine learning promise to help banks rapidly identify and thwart illicit transactions – but even as a growing number of institutions implement sophisticated technological solutions, only about 1 percent of laundered funds are seized and frozen. As the Intern…
2019-11-20 11:00:00+00:00 Read the full story…
Weighted Interest Score: 2.4051, Raw Interest Score: 1.3909,
Positive Sentiment: 0.3210, Negative Sentiment 0.6419

CCC’s Senior Vice President Takes a Holistic Look at the Auto Insurance Industry


Jason Verlen doesn’t see his work as a day job. Rather, he views it as more of a contribution to the upcoming groundbreaking technological revolution.

As Senior Vice President of Product Strategy and Management at CCC, Verlen’s team uses data mining and analytics to provide customers with modern tools to protect themselves before, during and after a vehicle collision. This passion and forward-thinking mindset is not out of character. Verlen…
2019-11-20 00:00:00 Read the full story…
Weighted Interest Score: 2.3604, Raw Interest Score: 0.9136,
Positive Sentiment: 0.5689, Negative Sentiment 0.1551

Google’s Project Nightingale Raises Concerns About Improper Gathering of Health Data

In recent years, Google has been making increasingly aggressive forays into the lucrative U.S. healthcare sector, estimated by some to be worth $3.5 trillion annually. For example, Google recently announced plans for a $2.1 billion acquisition of Fitbit, which has 25 million active users. And now, after an anonymous whistleblower provided details online, the company is unveiling a once-secret health data partnership (codenamed “Project Nightingal…
2019-11-20 16:00:00+00:00 Read the full story…
Weighted Interest Score: 2.3066, Raw Interest Score: 1.4772,
Positive Sentiment: 0.1221, Negative Sentiment 0.2686

AI in Weather Forecasting: Predicting When Lightning Will Strike

archers in Switzerland have figured out how to use AI to predict when and where lightning will strike.

Researchers from École Polytechnique Fédérale de Lausanne used standard meteorological data and machine learning to build a simple system that can predict lightning strike to the nearest 10 to 30 minutes inside a radius of about 18.6 miles, according to an account in Popular Mechanics.

“We have used machine learning techniques to successfully hindcast nearby and distant lightning hazards by looking at single-site observations of meteorological parameters,” wrote the authors in a new paper published recentl…
2019-11-21 22:30:20+00:00 Read the full story…
Weighted Interest Score: 2.2940, Raw Interest Score: 1.3024,
Positive Sentiment: 0.2873, Negative Sentiment 0.1149

Quality lead generation: why data would lead the way in B2B marketing

Conducting a B2B sales process without a defined lead generation strategy is a lot like celebrating Halloween without the pumpkin and the candy — it’s an imperative!

While outbound prospecting and marketing techniques have proven to be effective, combining it with an inbound lead generation strategy is the formula to generate targeted leads and ensuring a high volume of conversions. Relying on historical data and predictive analytics for the for…
2019-11-21 11:51:19+00:00 Read the full story…
Weighted Interest Score: 2.2329, Raw Interest Score: 1.3163,
Positive Sentiment: 0.1880, Negative Sentiment 0.1410

Westpac launches Azure powered ‘Data Driven Experience Platform’

Westpac today announced the launch of its “Data Driven Experience Platform”, a customer insights and analytics hub which pulls data from across Westpac Group. The bank says the hub will help propel its digital push and prepare it for the upcoming open banking regime.

The platform was co-designed and backed by Microsoft which is supplying the cloud services.

Westpac says the platform will eventually allow the bank to provide more personalised di…
2019-11-20 07:30:06+11:00 Read the full story…
Weighted Interest Score: 2.2051, Raw Interest Score: 1.5085,
Positive Sentiment: 0.2575, Negative Sentiment 0.0736

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