AI & Machine Learning News. 27, January 2020

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?


Google CEO Thinks AI Will Be More a Profound Change Than Fire

Google’s chief executive officer has left no doubt in how important he thinks artificial intelligence will be to humanity. “AI is one of the most profound things we’re working on as humanity. It’s more profound than fire or electricity,” Alphabet Inc. CEO Sundar Pichai said in an interview at the World Economic Forum in Davos, Switzerland on Wednesday.

Alphabet, which owns Google, has had to grapple with its role in the development of AI, including managing employee revolts against its work on the technology for the U.S. government. In 2018, a group of influential software engineers successfully delayed the development of a security feature that would’ve helped the company win military contracts. Google has issued a set of AI principles that prohibit weapons work, but doesn’t rule out selling to the military. It has also pledged not to renew its Project Maven contract, which involves using artificial intelligence to analyze drone footage.

Pichai, who’s led Google since 2015, took control of Alphabet after founders Larry Page and Sergey Brin stepped down from day-to-day involvement last month. “AI is no different from the climate,” Pichai said. “You can’t get safety by having one country or a set of countries working on it. You need a global framework.”

2020-01-22 00:00:00+00:00 Read the full story…

CloudQuant Thoughts : Well, this and the Financial Times op-ed suggest Sundar Pichai has something important to tell the public, but honestly it just looks like a spin act. Google spend more on lobbying than any other company. Why does he feel he needs to put his opinions out there in this way. One cannot help but feel manipulated.

High-quality Deepfake Videos Made with AI Seen as a National Security Threat

The FBI is concerned that AI is being used to create deepfake videos that are so convincing they cannot be distinguished from reality.

The alarm was sounded by an FBI executive at a WSJ Pro Cybersecurity Symposium held recently in San Diego. “What we’re concerned with is that, in the digital world we live in now, people will find ways to weaponize deep-learning systems,” stated Chris Piehota, executive assistant director of the FBI’s science and technology division, in an account in WSJPro.

The technology behind deepfakes and other disinformation tactics are enhanced by AI. The FBI is concerned natural security could be compromised by fraudulent videos created to mimic public figures. “As the AI continues to improve and evolve, we’re going to get to a point where there’s no discernible difference between an AI-generated video and an actual video,” Piehota stated.

2020-01-23 22:30:59+00:00 Read the full story…
Weighted Interest Score: 2.3180, Raw Interest Score: 0.9215,
Positive Sentiment: 0.2229, Negative Sentiment 0.2378

CloudQuant Thoughts : If you follow this blog you know how much we love deepfakes. They are such a primal example of the power of ML. With the strides made in the last year it is no wonder the FBI are worried. We should all be worried, we can no longer trust our eyes. Worst of all, it gives plausible deniability to those in positions of power, “I didn’t say that.. its a deepfake”.

The Current State of AI Bias

Fed by massive amounts of data – data that increases in volume every day – AI solutions have the potential to yield unprecedented insights that can be used to steer business, government, and societal progress.

DataRobot surveyed more than 350 U.S. and U.K.-based CIOs, CTOs, VPs, and IT managers involved in AI and machine learning purchasing decisions. Respondents offer a look into how AI is being used by businesses today, current perceptions of AI bias, and what is being done – or should be done – to enhance AI bias prevention efforts in the future.

Key Report Findings

  • 42% of organizations are “very” to “extremely” concerned about AI bias. Most respondents cite “compromised brand reputation” and “loss of customer trust” as the great cause for concern.
  • 83% of respondents have established AI guidelines and are taking steps to avoid bias
  • 85% of respondents also believe AI regulation would be helpful for defining what constitutes AI bias and how it should be prevented.

2020-01-26 00:00:00 Read the full story…
Weighted Interest Score: 5.6922, Raw Interest Score: 1.5759,
Positive Sentiment: 0.3041, Negative Sentiment 0.5529

Bias in AI: Scary Monster or Tamable Beast?

In this first blog in the Views on 2020 series from #Refinitiv, Debra Walton explores the factors contributing to bias in AI and analyzes its impact on the financial services industry. What solutions can be employed to ensure the quality of the data and subsequent outputs are free from such bias?

  1. As the world focuses on the drawbacks of AI in more mainstream society, its impact on the financial services industry could be just as serious.
  2. The impact of bias in AI can create long-term problems and has been seen in such events as the 2016 flash crash in sterling. However, Debra Walton believes that, on balance, the advantages of AI outweigh the disadvantages.
  3. Solutions to bias in AI can be achieved through creating transparent and understandable models; managing data quality; and monitoring outputs and course correcting.

Not since Frankenstein’s monster hopped off the scientist’s bench in Mary Wollstonecraft Shelley’s gothic novel have more people been more afraid and vocal on the confluence of man and machine. In the financial community, leaving decisions to machines highlights the issue of bias in artificial intelligence in a sector that’s worked hard to regain trust since 2008.

2020-01-23 02:52:59+00:00 Read the full story…
Weighted Interest Score: 4.6875, Raw Interest Score: 2.0010,
Positive Sentiment: 0.1636, Negative Sentiment 0.4531

CloudQuant Thoughts : Bias exists, bias exists in AI, identifying bias in AI is extremely difficult. In business today you often do not get a second chance. If your AI chat bot suddenly starts spouting Nazi propaganda then no amount of course correcting will help you (unless you are Microsoft!).

DoD Looks to Scale Predictive Maintenance

In its efforts to make greater use of commercial technologies, a Pentagon innovation office formed to streamline government contracting has expanded an predictive maintenance effort designed to keep front-line aircraft ready for duty.

The Defense Innovation Unit (DIU) created in 2015 to link the military with technology vendors recently awarded a five-year, $95 million contract to C3.ai to boost aircraft readiness. The company said it will provide an AI-based software application that uses machine learning algorithms to monitor aircraft systems. The goal is to spot critical subsystem failures before they occur and help predict the parts and maintenance required to keep aircraft flying.

The AI platform also would serve as a logistics tool, identifying the type of part required to fix an airborne system and where that part can be acquired from DoD’s far-flung logistics network. The ability to anticipate parts failures is seen as a way of saving time and money associated with unscheduled maintenance.

2020-01-21 00:00:00 Read the full story…
Weighted Interest Score: 4.1601, Raw Interest Score: 1.6545,
Positive Sentiment: 0.2545, Negative Sentiment 0.2545

CloudQuant Thoughts : The first introduction I had to Machine Learning was an explanation of how the Military were using ML to predict when parts would fail ahead of time. The idea was that the supply chain would have the parts on hand in advance of the failure, in extreme cases, preventing catastrophic failure. They had the technology, they had massive amounts of data, they had the money and the technology, they had put it into practice and had provable results. So this article makes me feel like I have jumped into a time machine!

Analysing 3,000 tweets about RISE, the opening event of London Borough of Culture 2020

The purpose of this post is to use Twitter data to understand the ebbs and flows of the event and apply machine learning and natural language processing techniques to illuminate social value and cultural value. By analysing the tweets of users who attended RISE, we’re able to gain insight into whether the event achieved the aims of the London Borough of Culture. Let’s give it a go! Please scroll through to see the analysis. Hope you enjoy.

Unlike the opening event of last year, there wasn’t a specific hashtag dedicated to the event. Instead, I collected all tweets containing the official hashtag of the programme #Brent2020 and those which mentioned @LBOC2020, the Twitter handle of Brent 2020. At the time of the event, I used the Twitter API to collect 3,000 tweets in total between 14th January to 21st January 2020. It’s important to note that I only collected tweets that contained #Brent2020 or @LBOC2020; there were, of course, many tweets about RISE that didn’t contain those search terms.

Having collected the tweets, I performed a range of advanced statistical and machine learning natural language processing techniques to help me understand the social and cultural value of the event. Specifically, I used the Google Cloud Natural Language API to calculate the sentiment for each tweet, then I used the gensim library’s Word2Vec model to perform semantic analysis from the entire corpus of the tweets.

2020-01-27 13:17:30.075000+00:00 Read the full story…
Weighted Interest Score: 2.4149, Raw Interest Score: 1.6000,
Positive Sentiment: 0.2000, Negative Sentiment 0.0333

CloudQuant Thoughts : I always love a good Twitter analysis. This looks like a great piece of analysis and extremely interesting but it is such a pity that “Towards Data Science” chose to put their articles on Medium and thus behind a Registration Wall. They must have seen readership drop. Fortunately the author Vishal Kumar, self titled “Cultural Data Scientist” has his own web page, which is very interesting and contains lots of neat articles. Hopefully it will soon contain details of this analysis!

ProBeat: Why Google is really calling for AI regulation

On Sunday, the Financial Times published an op-ed penned by Sundar Pichai titled “Why Google thinks we need to regulate AI.” Whether he wrote it himself or merely signed off on it, Pichai clearly wants the world to know that as the CEO of Alphabet and Google, he believes AI is too important not to be regulated. He has concerns about the potential negative consequences of AI, and like any technology, he believes there needs to be some ground rules.

I simply don’t believe that’s the full story.

2020-01-24 00:00:00 Read the full story…
Weighted Interest Score: 2.6275, Raw Interest Score: 1.1452,
Positive Sentiment: 0.2082, Negative Sentiment 0.2343

MarketAxess deploys H20.ai machine learning tech

H2O.ai, the open source leader in artificial intelligence (AI) and machine learning (ML), today announced that its open source platform, H2O, provides critical machine learning capabilities to MarketAxess, the operator of a leading electronic trading platform for fixed-income securities and the provider of market data and post-trade services for the global fixed-income markets.

MarketAxess’ Composite+, powered by H2O open source, delivers greater insight and price discovery in real-time, globally, for over 24,000 corporate bonds. Composite+ has won several awards for its use of AI including the Risk Markets Technology Award for Electronic Trading Support Product of the Year and the Waters Technology American Financial Technology Award for Best Artificial Intelligence Technology Initiative.

“H2O is an integral part of Composite+ and provides some of the fundamental machine learning tools and support that make our algorithms run as well as they do,” said David Krein, Global Head of Research at MarketAxess. “The Composite+ pricing engine is helping fulfill our clients’ critical liquidity needs with more accurate and timely pricing data, which we make available within the MarketAxess electronic trading workflow. H2O.ai has been a great partner which has contributed to our recent success.”

2020-01-27 11:36:00 Read the full story…
Weighted Interest Score: 6.5515, Raw Interest Score: 3.0534,
Positive Sentiment: 0.5089, Negative Sentiment 0.1018

Human Capital: ACA’s Di Florio on How Tech Is Crucial Tool in Regulators’ Arsenal

Di Florio, a former director of the Securities and Exchange Commission’s Office of Compliance Inspections and Examinations details how regulators’ increasing use of regtech is transforming their supervisory relationships and exam experience with broker-dealers and advisors.
Listen in as di Florio also talks about how regulators are deploying technology and data analytics to identify needles in the regulatory haystack and also how the transition from the London Interbank Offered Rate, or Libor, poses a significant compliance risk.

2020-01-24 00:00:00 Read the full story…
Weighted Interest Score: 4.3478, Raw Interest Score: 2.4648,
Positive Sentiment: 0.0000, Negative Sentiment 0.1761

Community of AI Artists Exploring Creativity with Technology

Artists are using AI to explore original work in new mediums. Refik Anadol, for example, creates art installations using pools of data to create what he calls a new kind of “sculpture.” His “Machine Hallucination” installation ran in Chelsea Market, New York City, last fall.

The Turkish artist used machine learning algorithms on a dataset of more than three million images, to create a synthetic reality experiment. The model generates “a data universe of architectural hallucinations in 512 dimensions,” according to an account of the exhibit in designboom.

2020-01-23 22:30:55+00:00 Read the full story…
Weighted Interest Score: 4.0736, Raw Interest Score: 1.2077,
Positive Sentiment: 0.1812, Negative Sentiment 0.1510

OneStream Software Launches Predictive Analytics for Financial and Operational Planning

According to a recent press release, “OneStream Software, a leader in Corporate Performance Management (CPM) solutions for mid-sized to large enterprises, has introduced a new predictive analytics solution that provides advanced planning and forecasting capabilities for the OneStream XF platform. Predictive Analytics 123 enables finance leaders to create predictive forecasts for financial and operational planning, share these insights and collaborate with their business partners on critical business decisions.”
2020-01-27 08:05:22+00:00 Read the full story…
Weighted Interest Score: 3.9621, Raw Interest Score: 2.1763,
Positive Sentiment: 0.3348, Negative Sentiment 0.0558

Hitachi Vantara Buys Cataloger Waterline Data

Hitachi Vantara is acquiring data catalog startup Waterline Data as the U.S. subsidiary of the Japanese industrial giant seeks to meet growing demand for automation frameworks for data lake management via its AI-driven DataOps platform.

The Hitachi Ltd. (TSE: 6501) unit said Wednesday (Jan. 22) it would offer Waterline Data’s catalog technology based on proprietary “fingerprinting” technology as a separate product as well integrated with its fla…
2020-01-22 00:00:00 Read the full story…
Weighted Interest Score: 3.8912, Raw Interest Score: 2.3440,
Positive Sentiment: 0.2217, Negative Sentiment 0.1584

Five Factors To Consider in Choosing a Modern Data Ingestion Platform

The amount of data available to mid- and enterprise-sized companies continues to grow year over year. Most companies are pulling data from several data sources, making big data intake much more complex. This whitepaper examines the five factors you need to consider when moving from legacy data ingestion platforms to a more modern solution.
2020-01-21 00:00:00 Read the full story…
Weighted Interest Score: 3.8123, Raw Interest Score: 1.7595,
Positive Sentiment: 0.0000, Negative Sentiment 0.0000

Calls for AI Regulation Gain Steam

Should restrictions be placed on the use of artificial intelligence? Google CEO Sundhar Pichai certainly does, and so do a host of other business leaders, including the CEOs of IBM and H2O.ai, as the chorus of calls for putting limits on the spread of the rapidly evolving technology gets louder.

Pichai aired his opinion on the matter in an opinion piece published Monday in the Financial Times, titled “Why Google thinks we need to regulate AI” (story is protected by a paywall).

In the story, Pichai, who is also CEO of Google’s parent company, Alphabet, shared his lifelong love of technology, as well as the breakthroughs that his company is making in using AI to fight breast cancer, improve weather forecasts, and reduce flight delays.

As virtuous as these AI-powered accomplishments are, they don’t account for the negative impacts that AI also can have, Pichai wrote. “There are real concerns about the potential negative consequences of AI, from deepfakes to nefarious uses of facial recognition,” he wrote.

2020-01-24 00:00:00 Read the full story…
Weighted Interest Score: 3.6519, Raw Interest Score: 1.2331,
Positive Sentiment: 0.3045, Negative Sentiment 0.4262

Room for Improvement in Data Quality, Report Says

A new study commissioned by Trifacta is shining the light on the costs of poor data quality, particularly for organizations implementing AI initiatives. The study found that dirty and disorganized data are linked to AI projects that take longer, are more expensive, and do not deliver the anticipated results. As more firms ramp up AI initiatives, the consequences of poor data quality are expected to grow.

The relatively sorry state of data quality is not a new phenomenon. Ever since humans started recording events, we’ve had to deal with errors. But when you couple today’s super-charged data generation and collection mechanisms with the desire of companies to become “data-driven” through advanced analytics and AI, the ramifications of automating decisions based on dirty or disorganized data cannot be ignored.

2020-01-23 00:00:00 Read the full story…
Weighted Interest Score: 3.6208, Raw Interest Score: 1.6564,
Positive Sentiment: 0.1456, Negative Sentiment 0.3458

Qlik Doubles Down on Data Literacy

In parallel with its acquisition this week of an AI startup, data integrator Qlik launched a data literacy service as a means of expanding analytics capabilities across organizations drowning in data.

Separately this week, Qlik announced a deal to acquire RoxAI, developers of software that pushes alerts to analysts. The alerting software also integrates with Qlik’s AI platform, Sense.

Meanwhile, Qlik is pitching its new service as a way to boost data literacy across business operations as a way to wring more value of out of business intelligence and other data.

2020-01-24 00:00:00 Read the full story…
Weighted Interest Score: 3.3487, Raw Interest Score: 1.8836,
Positive Sentiment: 0.1256, Negative Sentiment 0.3349

Qlik Rebrands Attunity Solutions Following Acquisition

Qlik has announced the formal rebranding of the Attunity brand and data integration products into the Qlik brand. The change applies to every product Qlik acquired from Attunity in 2019, which are now integrated into Qlik’s overall data integration platform strategy.

With the acquisition of Attunity, Qlik evolved beyond analytics to include a robust data integration platform. The branding announcement reflects Qlik’s position in both the data in…
2020-01-23 00:00:00 Read the full story…
Weighted Interest Score: 2.7027, Raw Interest Score: 1.5898,
Positive Sentiment: 0.0795, Negative Sentiment 0.0000

What do AML-BSA-CTF Regulators think of Machine Learning?

Prior to 2018, regulators resisted recommending the use of Machine Learning (ML) based Artificial Intelligence (AI) for AML compliance. There was a mindset shift in mid 2018 indicating that proceeding with caution in implementing AI approaches for AML is appropriate. Regulators realize the adoption of recent innovation, such as the use of AI-ML and robotic process automation (RPA) techniques, enables AML compliance improvements not otherwise attainable. A risk-based approach to compliance, underpinned by AI/Machine Learning, creates opportunities for governance and process refinement as well as identifying potential untapped revenues. Reliance on box-ticking approaches familiar to users of legacy rules-based compliance systems is no longer sufficient.

Despite more than $80 Billion global spent annually on AML compliance, current AML approaches are not working as evidenced by the meager 1% of laundered funds intercepted . While banking regulators urge caution in the adoption of advanced analytics and AI based machine learning, reality dictates that adoption of new analytics and automation is imperative and urgent.

2020-01-25 17:39:31 Read the full story…
Weighted Interest Score: 3.1958, Raw Interest Score: 1.6292,
Positive Sentiment: 0.4173, Negative Sentiment 0.3612

How CSIRO boss thinks tech innovation will shape Australia in the 2020s

“Later this year, we’ll be releasing a roadmap outlining Australia’s economic opportunity from quantum technologies, which we think could be a multi-billion-dollar opportunity for Australia and create thousands of jobs – probably more likely over the next 20 years rather than 10 years.

“It will take investment and alignment across industry and research, but we have some of the world’s best people working on it right here, so the opportunity is i…
2020-01-23 00:00:00 Read the full story…
Weighted Interest Score: 3.1508, Raw Interest Score: 1.4807,
Positive Sentiment: 0.5682, Negative Sentiment 0.1894

Iguazio raises $24 million for AI development and management tools

AI adoption levels are higher than they’ve ever been in the enterprise. According to a January survey conducted by Gartner, corporate use of AI grew 270% over the past four years. But developing, deploying, and managing AI applications at scale requires a platform that supports doing so, which is what startup company Iguazio provides. Its investors believe it has legs: Iguazio announced that it has secured $24 million in a funding round led by IN…
2020-01-27 00:00:00 Read the full story…
Weighted Interest Score: 2.9713, Raw Interest Score: 1.7205,
Positive Sentiment: 0.2126, Negative Sentiment 0.1546

So You Want to be a Data Architect?

Being a data architect requires a good understanding of the cloud, databases in general, and the applications and programs used to maximize their potential. A fully functional data architect understands all the phases of Data Modeling, including conceptualization and database optimization. They also understand a continuing education is part of the job.

Typically, a data architect has a degree in information technology, computer science, computer…
2020-01-23 08:35:40+00:00 Read the full story…
Weighted Interest Score: 2.9225, Raw Interest Score: 1.7335,
Positive Sentiment: 0.2222, Negative Sentiment 0.1445

The State of AI in 2020

Learn where our future is headed by understanding AI’s past. This article provides an in depth overview of the past, present, and future of AI.

There is no doubt that artificial intelligence, machine learning, and data science have become the most powerful and forward looking force in technology over the past decade. These technologies have allowed for breakthrough insights and applications that may truly change the world for the better. This is, of course, thanks to the symbiosis of data collection, hardware innovation, and driven researchers that have taken hold over the 2010s. This has led us to be…
2020-01-27 13:21:57.735000+00:00 Read the full story…
Weighted Interest Score: 2.7900, Raw Interest Score: 1.6250,
Positive Sentiment: 0.2734, Negative Sentiment 0.1135

This Google Scientist teaches AI to build better AI (Video)

I got my Masters and Ph.D in electrical and computer engineering at Rice University. I was working on algorithmic, hardware/software code design for large-scale data analytics model and Machine Learning. Towards the end of my Ph.D when Deep Learning took off, I switch my focus to Deep Learning.

Afterwards, I very accidentally saw a flyer for Google Brain Residency Program. The goal was for people with backgrounds other than Deep/Machine Learning to become researchers in the field. I’ve been there 3.5 years now.

2020-01-23 04:34:02.372000+00:00 Read the full story…
Weighted Interest Score: 2.7806, Raw Interest Score: 1.6172,
Positive Sentiment: 0.4227, Negative Sentiment 0.0919

Reading Color Blindness Charts: Deep Learning and Computer Vision

Reading Color Blindness Charts: Deep Learning and Computer Vision

Transforming data to make it compatible with a similar dataset

There are plenty of online tutorials where you can learn to train a neural network to classify handwritten digits using the MNIST dataset, or to tell the difference between cats and dogs. Us, humans, are always very good at these tasks and can easily match or beat the performance of a computer.

However, there are som…
2020-01-26 18:11:47.585000+00:00 Read the full story…
Weighted Interest Score: 2.4579, Raw Interest Score: 1.0101,
Positive Sentiment: 0.1684, Negative Sentiment 0.1684

StoneChecker approval fires up medical imaging diagnostics specialist IQ-AI

This predictive, diagnostic software product helps urologists determine whether a kidney stone will disintegrate under a vibration process called lithotripsy. This capability becomes important in determining whether to subject patients to multiple rounds of lithotripsy or send them straight to surgery. Its products are now sold in the USA, UK, The Netherlands, Switzerland, Germany, Greece and South Korea. The business has been put on sale to free up resources for the company’s medical imaging products.

All the company’s products are based upon digitising information from medical imaging equipment on a voxel-wise basis – a voxel being the three-dimensional (3D) equivalent of a pixel (i.e. a point on a 3D grid).

In the technology IQ-AI is developing, each individual voxel is examined and compared to surrounding voxels, which is often the first step in identifying diseased or compromised tissue.

2020-01-27 00:00:00 Read the full story…
Weighted Interest Score: 2.4048, Raw Interest Score: 1.0541,
Positive Sentiment: 0.1622, Negative Sentiment 0.1622

AI Being Used to Help Diagnose Mental Health Issues; Privacy Concerns Real

Mental health issues are believed to be experienced by one in five US adults and some 16 percent of the global population; the rates seem to be increasing. Meanwhile, many parts of the US have a shortage of healthcare professionals. Some $200 billion is spent annually on mental health services, experts estimate.

Given the constraints, it’s natural for researchers to explore whether AI technology can help ext…
2020-01-23 22:30:18+00:00 Read the full story…
Weighted Interest Score: 2.2564, Raw Interest Score: 1.2133,
Positive Sentiment: 0.0783, Negative Sentiment 0.2218

Be more efficient to produce machine learning pipeline with Metaflow

The DAG is structured around :

Flow: the instance that is managing all the codes for the pipeline. It is a Python object in this case class MyFlow(Flowspec)

Steps: parts of the flow, delimited by decorator @step, they are python functions in the MyFlow object, in this case, def start, fitA, fitB, eval, end.

Transitions: links between the steps they could be of different types (linear, branch and for each); there are more details on the documen…
2020-01-27 13:29:17.967000+00:00 Read the full story…
Weighted Interest Score: 2.2119, Raw Interest Score: 1.2645,
Positive Sentiment: 0.0421, Negative Sentiment 0.0000

Big Data Creates 4 Massive Benefits Of Automated Log Management

Automated log management has led to the proliferation of big data. Some of the changes that it has created help illustrate both the positive and negative implications of big data in general.

Big data is a double-edged sword for countless businesses. It is creating a number of great opportunities for them, as they are using big data technology to boost efficiency, minimize employee turnover, get a better understanding of their customers and solve other challeng…
2020-01-23 20:52:25+00:00 Read the full story…
Weighted Interest Score: 2.1836, Raw Interest Score: 1.6201,
Positive Sentiment: 0.4461, Negative Sentiment 0.7279

Can analysts and statisticians get along?

Can analysts and statisticians get along?

Inside the subtle war between the data science professions

In a previous article, I explained that typical training programs in statistics and analytics endow graduates with different skillsets.

When you’re dealing with uncertainty, analysts help you ask better questions, while statisticians provide more rigorous answers. Seems like the makings of a collaboration dream, yet somehow these professions end up at one another’s throats. Let’s se…
2020-01-25 00:07:33.422000+00:00 Read the full story…
Weighted Interest Score: 2.0698, Raw Interest Score: 0.7398,
Positive Sentiment: 0.2328, Negative Sentiment 0.2993

AI Weekly: Calls for facial recognition moratorium highlight need for protection from surveillance tech

The debate over whether to ban or place moratoriums on the use of facial recognition started last year in cities like San Francisco, but the debate reignited this week when Alphabet and Google CEO Sundar Pichai said he’s open to a moratorium on facial recognition.

“It [facial recognition regulation] can be immediate, but maybe there’s a waiting period before we really think about how it’s being used,” Pichai said. “It’s up to governments to char…
2020-01-24 00:00:00 Read the full story…
Weighted Interest Score: 2.0487, Raw Interest Score: 1.0555,
Positive Sentiment: 0.1725, Negative Sentiment 0.6090

Workday CEO Aneel Bhusri in Davos on his vision for company growth and more

Workday CEO Aneel Bhusri in Davos on his vision for company growth and more

One of the big themes at the World Economic Forum in Davos is artificial intelligence and breakthrough technologies. Aneel Bhusri, CEO of Workday, joins “Squawk Box” to discuss the latest on A.I. and cloud technology.
2020-01-23 00:00:00 Read the full story…
Weighted Interest Score: 2.0339, Raw Interest Score: 1.3605,
Positive Sentiment: 0.3401, Negative Sentiment 0.0000

Here’s how an ex-CIA officer and a tech entrepreneur are using AI to hunt sex traffickers on Super Bowl Sunday

Emil Mikhailov, founder of XIX, a computer vision startup, and Nic McKinley, founder of Deliver Fund, a nonprofit started by an ex-CIA agent, have teamed up to use AI to fight human trafficking.

Deliver Fund uses XIX’s technology to scan and analyze massive numbers of online images to identify and expose sex trafficking rings. The XIX platform looks for “signals” in the photos — visual elements that suggest a link to the illicit sex trade.

“Hum…
2020-01-26 00:00:00 Read the full story…
Weighted Interest Score: 1.9861, Raw Interest Score: 0.9333,
Positive Sentiment: 0.1343, Negative Sentiment 0.3252

Hotel Disruptor, Life House, Raises a $30M Series B to Make Beautiful Hotels More Affordable & More Authentic

The industry’s leading investors recognize the advantage that Life House’s software-driven platform and scalable authentic brand have in an increasingly competitive hotel landscape. The investment will support the Company’s rapid growth into new markets with a clear path to profitability by 2021.

NEW YORK–(BUSINESS WIRE)–January 24, 2020–

Life House, a tech-enabled lifestyle hotel company, announced the closing of a $30 million Series B fundrai…
2020-01-24 00:00:00 Read the full story…
Weighted Interest Score: 1.9653, Raw Interest Score: 1.2977,
Positive Sentiment: 0.4112, Negative Sentiment 0.0771

Intel’s stock jumps 7% on better-than-expected earnings and revenue

Intel’s revenue rose 8% from a year earlier in the quarter, which ended on Dec. 28, the company said in a statement .

Intel shares jumped as much as 7% in extended trading on Thursday after the chipmaker reported better-than-expected fourth-quarter earnings, extending a rally that’s pushed the stock to its highest since the dot-com bubble in 2000.

Intel’s largest operating segment, the Client Computing Group that makes chips for PCs, laptops an…
2020-01-23 00:00:00 Read the full story…
Weighted Interest Score: 1.9640, Raw Interest Score: 1.3276,
Positive Sentiment: 0.2371, Negative Sentiment 0.0474

Ixia Enhances Active Network Monitoring Platform with Machine Learning

t Technologies, Inc., a leading technology company that helps enterprises, service providers and governments accelerate innovation to connect and secure the world, today announced the addition of new machine learning (ML) features in the Hawkeye active network monitoring platform from Ixia, a Keysight business. The addition of machine learning enables Hawkeye to help enterprises shorten outages and improve network uptime by quickly detecting, identifying and resolving network anomalies.”

The release goes on, “As the volume and velocity of raw network and application data continues to increase, network operat…
2020-01-24 08:05:00+00:00 Read the full story…
Weighted Interest Score: 1.9551, Raw Interest Score: 1.9119,
Positive Sentiment: 0.4056, Negative Sentiment 0.2897

Samasource CEO Leila Janah passes away at 37 – TechCrunch

The startup community has lost another moral leader today.

Leila Janah, a serial entrepreneur who was the CEO and founder of machine learning training data company Samasource, passed away at the age of 37 due to complications from Epithelioid Sarcoma, a form of cancer, according to a statement from the company.

She focused her career on social and ethical entrepreneurship with the goal of ending global poverty, founding three distinct organizations over her career spanning the for-profit and non-profit worlds. She was most well-known …
2020-01-24 00:00:00 Read the full story…
Weighted Interest Score: 1.8754, Raw Interest Score: 1.0620,
Positive Sentiment: 0.2465, Negative Sentiment 0.1328

Dell’s Jeff Clarke Looks to 2020 and the ‘Next Data Decade’

Opinions aren’t exactly hard to come by in technology, especially in December when a veritable cottage industry arises around predictions for the coming year (including here on eWEEK!). That amps up a little further at a decade’s end, with pieces that look both fondly back and adventurously ahead. But the fact is that while opinions are (as usual) easy enough to find, insightful forecasts of longer-term trends tend to be pretty thin on the ground…
2020-01-27 00:00:00 Read the full story…
Weighted Interest Score: 1.7879, Raw Interest Score: 1.1134,
Positive Sentiment: 0.4276, Negative Sentiment 0.0968

Hamish Douglass’ map for investing this decade

n’t even thought of will be $100 billion businesses in ten years.”

If the smartphone was the innovation of the past decade, and if we’re now in the decade of the cloud, the 2030s will be the time of artificial intelligence, Douglass says. “And maybe the decade after that would be the decade of longevity where we’re starting to make massive breakthroughs in terms of life expectancy.”

And if the fund manager is right, our future will also be totally familiar: “I still think people will be eating KFC in a decade,” referring to the franchise owned by Yum! Brands which Magellan has made seven times its money on. “Starb…
2020-01-23 00:00:00 Read the full story…
Weighted Interest Score: 1.7549, Raw Interest Score: 0.9150,
Positive Sentiment: 0.2250, Negative Sentiment 0.1350

CCPA, GDPR and Beyond: The Future of Data Privacy Legislation

The basic concept of regulating how data is stored, protected, and processed is not unique to the past decade. From early inceptions such as Sweden’s Data Act of 1973 to regulations such as Europe’s Data Protection Directive of 1995 – a predecessor to the 2018 General Data Protection Regulation (GDPR) – data privacy has proven to long be a consideration for consumers and governing bodies. Moving forward to modern times, the demand for and impleme…
2020-01-24 11:41:09-05:00 Read the full story…
Weighted Interest Score: 1.7375, Raw Interest Score: 0.9485,
Positive Sentiment: 0.1594, Negative Sentiment 0.2391

How Google Keeps Changing Financial Marketing

In January 2020 in a short blog the head of engineering for Google’s Chrome browser set off a bomb. The company plans to effectively kill third-party cookies on Chrome within two years.

In recognition of privacy concerns, wrote Justin Schuh, Google was taking steps to implement its Privacy Sandbox, announced the previous summer. As part of that implementation, he said, after Google “addressed the needs of users, publishers, and advertisers, and …
2020-01-22 00:05:46+00:00 Read the full story…
Weighted Interest Score: 1.6657, Raw Interest Score: 1.0778,
Positive Sentiment: 0.2530, Negative Sentiment 0.1595

Big tech opts for emollience over exuberance at Davos

Most years, the panel discussions and the talks hosted in the shopfronts are pretty techno-utopian. The fourth industrial revolution is coming to save the world, that sort of thing.

This year, though, although the general “mood of Davos” was relatively upbeat, the tech side was a little more downcast and defensive. Nadella excepted, most of the CEOs were less visible in the public forums. The shopfronts seemed a little quieter.

One tech executi…
2020-01-25 00:00:00 Read the full story…
Weighted Interest Score: 1.6490, Raw Interest Score: 0.8944,
Positive Sentiment: 0.1677, Negative Sentiment 0.3074

4 strategies to redesign entry-level work to be more productive

Automation is changing the world. Namely, it’s changing the way we work by eliminating many of the more menial, repetitive tasks that employees currently focus on multiple hours a day. And while this is happening to employees across all areas of business, perhaps no one is being impacted more quickly—or dramatically—than practitioners and designers of entry-level work.

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Soon, entry-level analysts will no longer spend…
2020-01-22 11:00:47 Read the full story…
Weighted Interest Score: 1.6125, Raw Interest Score: 1.2558,
Positive Sentiment: 0.4891, Negative Sentiment 0.1586

Rob Bearden Returns to Lead Cloudera’s Second Act

When Cloudera ran into trouble last June following poor financial results, the board jettisoned senior leadership, including CEO Tom Reilly and Mike Olson, its chief strategy officer. Those moves would open up a path for Hortonworks co-founder Rob Bearden to return to the company that he had a hand in shaping. But with the Hadoop bubble popped, the question remains: Can Bearden succeed in resurrecting Cloudera in the new data age?

Cloudera last …
2020-01-21 00:00:00 Read the full story…
Weighted Interest Score: 1.5381, Raw Interest Score: 1.0704,
Positive Sentiment: 0.1529, Negative Sentiment 0.2243

Geopolitical tensions are high, putting global economy at risk, UN Secretary-General says

The state of global geopolitical tensions is high, and this is having an impact on the global economy, Antonio Guterres, Secretary-General of the United Nations, told CNBC’s Sara Eisen on “Squawk on the Street” from the World Economic Forum at Davos on Thursday.

“It’s the highest I have seen since taking office at the UN,” the Secretary-General said, noting there are a confluence of factors at play. These include the U.S.-Iran conflict, terroris…
2020-01-23 00:00:00 Read the full story…
Weighted Interest Score: 1.4574, Raw Interest Score: 0.9615,
Positive Sentiment: 0.1861, Negative Sentiment 0.6514

Palantir CEO Alex Karp defends his company’s relationship with government agencies

Palantir CEO Alex Karp said he stands by his company’s controversial work for the U.S. government, including Immigration and Customs Enforcement.

The secretive Peter Thiel-backed data analytics start-up ramped up its work for governments in 2019, Karp said Thursday.

“​The core mission of our company always was to make the West, especially America, the strongest in the world, the strongest it’s ever been, for the sake of global peace and prosperity, and we feel like this year we really showed what that would mean,” Karp said in an interview with “Squawk Box” co-host Andrew Ross Sorkin f…
2020-01-23 00:00:00 Read the full story…
Weighted Interest Score: 1.4208, Raw Interest Score: 0.9976,
Positive Sentiment: 0.1209, Negative Sentiment 0.4837

4 trends that will shape the cloud-native world in 2020

2019 was a pivotal year for the cloud native community, with lots of announcements that made it hard to get a clear view of what’s happening. But there are 4 key trends in the cloud space that will shape 2020. And if you take a step back, you’ll spot them. A big step back.

In June 2014, Google announces it is embracing Docker, and open-sourcing a new tool to manage compute workloads over large scale computing infrastructure. It is hailed as a re…
2020-01-26 00:00:00 Read the full story…
Weighted Interest Score: 1.1986, Raw Interest Score: 0.8754,
Positive Sentiment: 0.1808, Negative Sentiment 0.0666

Octarine Adds 2 Open Source Projects to Secure Kubernetes

Octarine announced today it has launched two open source projects intended to enhance Kubernetes security. The first project is kube-scan, a workload and assessment tool that scans Kubernetes configurations and settings to identify and rank potential vulnerabilities in applications in minutes. The second project is a Kubernetes Common Configuration Scoring System (KCCSS), a framework for rating security risks involving misconfigurations.

Julian …
2020-01-24 03:04:47-04:00 Read the full story…
Weighted Interest Score: 1.1866, Raw Interest Score: 0.6486,
Positive Sentiment: 0.1081, Negative Sentiment 0.1081

Live from Bett: What’s new in EDU– Change within the Microsoft Educator Center and fostering future-ready skills in students

It’s Day 2 of Bett and we’re back, ready to share the latest innovations in education technology and helping you get you started using the new tools and resources we announced last week. You can tune in live to watch special episodes of “What’s new in EDU” each day of Bett at 5:00PM Local London time or noon EST and 9 am PT. Here’s where you go on Thursday and Friday. In our episode yesterday, we talked about choosing and managing devices and var…
2020-01-23 16:45:45+00:00 Read the full story…
Weighted Interest Score: 1.1726, Raw Interest Score: 0.7912,
Positive Sentiment: 0.3320, Negative Sentiment 0.0636


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