AI & Machine Learning News. 03, September 2019

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

Zao Deep fake Phone App

Northern Trust To Expand Use of Machine Learning

Dane Fannin, head of global securities lending at Northern Trust, said the firm is discussing further applications of machine learning across the trading function in the business as it launched a pricing engine using the technology. Northern Trust announced this month that it has developed a pricing engine that uses machine learning and advanced statistical techniques in the securities lending market to forecast the rate to loan securities.

Fannin told Markets Media: “This is the first iteration of machine learning within securities lending as we saw an opportunity to improve the efficiency of pricing. We look at technology as a tool to accelerate our objective in helping clients optimise their portfolios in pursuit of increased alpha or driving out costs.“

An algorithm estimates the demand for equities in the securities lending market. Northern Trust global securities lending traders can use use these projections, with their own market intelligence, to automatically broadcast lending rates for 34 global markets. Northern Trust held approximately $1.2 (€1.1) trillion in lendable assets for more than 450 clients worldwide at the end of June this year. Fannin said that maintaining optimal pricing on all of these at point of trade and continuously through the life of the loan is intensive.

2019-08-28 15:53:27+00:00 Read the full story…
Weighted Interest Score: 3.0852, Raw Interest Score: 1.4514,
Positive Sentiment: 0.4920, Negative Sentiment 0.0738

CloudQuant Thoughts… Knowing the ideal rate for loaning out a particular security is obviously beneficial for companies that manage lendable assets for third parties but it is also of great interest to traders. Having historical information relating to the availability and cost of borrowed shares and the historical data for price trends for the same period is obviously a very rich and largely untapped seam of information. CloudQuant aim is to put as many of these “interesting” data sets into the hands of researchers and managers as possible as well as helping the data owners find new and currently untapped markets for their data. We provide managed, organized sample data sets, market data, white papers and code to reproduce the performance observed in the results.

What People Hate About Being Managed by Algorithms, According to a Study of Uber Drivers

Companies are increasingly using algorithms to manage their remote workforces. Called “algorithmic management,” this approach has been most widely adopted in gig economy companies. For example, ride-hailing company Uber substantially increases its efficiency by managing some three million workers with an app that instructs drivers which passengers to pick up and which route to take.

Being managed in this way offers some benefit to self-employed workers as well: for example, Uber drivers are free to decide when and for how long they would like to work and which area they would like to serve. However, our research reveals that algorithmic management is also frustrating to workers, and their resentment can lead them to behave subversively with the potential to cause real harm to their companies. Our research also suggests some ways that companies can mitigate these concerns while still taking advantage of the benefits of management by algorithm.
2019-08-30 12:05:36+00:00 Read the full story…
Weighted Interest Score: 3.0088, Raw Interest Score: 0.9761,
Positive Sentiment: 0.2092, Negative Sentiment 0.3602

CloudQuant Thoughts… It is fascinating that the issues that have plagued workers since the industrial revolution (and possibly before!) are still popping up when humans are managed by AI : Don’t micro manage me, Don’t expect me to do something without knowing why, and Don’t discount me. The big question will be whether or not the AI can learn how to keep the drivers happy. This should not be difficult. The question is, have these companies enabled any kind of feedback loop into the AI from the drivers? And what can we learn from this going forward?

AI Squares Off Against Fake News

In 2016, “fake news” was the Oxford English Dictionary’s Word of the Year. Thousands upon thousands of fake stories had plagued the internet throughout the U.S. presidential election – some shared millions and millions of times. A fake Associated Press tweet had sent stocks plummeting; teenagers in Macedonia filled cafes to earn living wages from writing fake articles. Almost overnight, fake news turned into an immensely profitable industry.

So when Reza Zafarani (an assistant professor with the electrical engineering and computer science department at Syracuse University) and his colleagues Xinyi Zhou and Kai Shu took the stage at KDD 2019 to talk about how machine learning and artificial intelligence could be employed to combat fake news, the room was packed.

2019-09-02 00:00:00 Read the full story…
Weighted Interest Score: 2.4822, Raw Interest Score: 0.9963,
Positive Sentiment: 0.1190, Negative Sentiment 0.2825

CloudQuant Thoughts… An interesting discovery that the types of words used may be the simplest way to detect fake news, rather than investigating the content and truth of the story!

Billionaires Jack Ma and Elon Musk debate good, evil and AI at conference in China

In the debate over artificial intelligence, whose side is Elon Musk on? Musk, who’s in charge of SpaceX, Tesla and the Neuralink brain interface venture, sized up the odds with AliBaba founder Jack Ma today during a widely watched one-on-one session at the World Artificial Intelligence Conference in Shanghai.

The way Musk sees it, the prospects aren’t great for humans if future AI agents decide to go rogue. That’s despite pronouncements from AI researchers who say machines won’t match humans anytime soon when it comes to general intelligence, as opposed to specialized AI applications such as playing chess or Go.

“The biggest mistake I see artificial intelligence researchers making is assuming that they’re intelligent,” Musk said. “Yeah, they’re not, compared to AI. And so a lot of them cannot imagine something smarter than themselves.” Musk said future AI agents will be “vastly smarter” than humans. “So what do you do with a situation like that?” he asked. “I’m not sure. I hope they’re nice.” For his part, Ma saw more promise than peril in AI.
2019-08-29 20:54:29-07:00 Read the full story…
Weighted Interest Score: 2.5521, Raw Interest Score: 1.3314,
Positive Sentiment: 0.3239, Negative Sentiment 0.1439

Musk, Ma leave audience awestruck

Just about the only thing they agreed on was that the global population was on the brink of collapse thanks to current birth rates – a looming disaster the planet is ill-prepared to tackle.

“AI will be much smarter than the smartest human you will ever know.” — Elon Musk
2019-08-30 00:00:00 Read the full story…
Weighted Interest Score: 1.5645, Raw Interest Score: 0.7825,
Positive Sentiment: 0.1878, Negative Sentiment 0.4382

CloudQuant Thoughts… Musk is not a great orator, you can tell his mind is running on ten different tangents of every thought he is expressing. But between the ums and aahs are often some great nuggets such as “To a computer a millisecond is an eternity, but to us it’s nothing”, “Human speech to a computer will sound like very slow tonal wheezing, kind of like whale sounds.” and “The computer will just get impatient… It will be like talking to a tree.” – Yikes.

Focus on Data to Succeed in AI, Say AI World Government Attendees

At the AI World Government conference last June, MeriTalk conducted a survey of 71 government and industry executives and IT decision-makers about how AI is being used in government. The findings were released this week.

The survey revealed that more than half of the survey respondents—61%—are working on AI today and another 14% expect to be doing so within the year. Most called AI development a little (42%) or moderately (48%) mature, but 89% said AI will be ready for mission-critical tasks within five years.

2019-08-29 21:30:59+00:00 Read the full story…
Weighted Interest Score: 5.6345, Raw Interest Score: 2.0360,
Positive Sentiment: 0.1894, Negative Sentiment 0.0947

Perspecta Labs to Provide Advanced Photonic Edge AI Compact Hardware Research for DARPA

A recent press release states, “Perspecta Inc. announced today that its innovative applied research arm, Perspecta Labs, was awarded a prime contract from the U.S. Defense Advanced Research Projects Agency (DARPA) to provide Photonic Edge AI Compact Hardware (PEACH) research under DARPA’s Artificial Intelligence (AI) Exploration program. The contract, which represents new work for the company, has a total value of $1 million and work will be performed over 18 months.”

The release continues, “The goal of the PEACH program is to research and develop novel AI processing architectures in combination with innovative photonic hardware to enable breakthrough AI functionality with significant reduction in hardware complexity, latency and power consumption. Perspecta Labs will create a novel multiple-loop, delay-line reservoir computing architecture, an algorithm for specific emitter identification, and a scalable prototype hardware design in combination with innovative photonic hardware.”

2019-09-02 07:05:20+00:00 Read the full story…
Weighted Interest Score: 5.2846, Raw Interest Score: 1.9661,
Positive Sentiment: 0.5424, Negative Sentiment 0.0678

Bond raises $10m to connect banks with digital brands

Bond Financial Technologies, a US startup connecting digital brands to banking partners, has raised $10 million in a seed round led by Canaan.

Bond is building a fintech platform designed to act as a growth engine for “digital brands” that want to provide access to capital to their customers, and banking partners that want to grow by providing the underlying financial services.

The machine learning-powered platform does this by streamlining the integration between brands and banks, reducing friction and creating a more repeatable model.

The startup is the brainchild of three seasoned industry executives who have worked at BlackRock, Goldman Sachs, SAP, SoFi, and Twilio.

2019-08-30 15:44:00 Read the full story…
Weighted Interest Score: 5.2114, Raw Interest Score: 2.5616,
Positive Sentiment: 0.3941, Negative Sentiment 0.0000

Bloomberg Aims to Expand Early Alerts

Bloomberg has launched Early Alerts, which predicts changes in US dollar corporate investment grade and high yield securities, and aims to expand the machine learning model to other currencies and securities.

Early Alerts, which was launched this month, uses Bloomberg’s proprietary library of fixed income data with machine learning models to develop predictive insights for more than 16,000 US dollar denominated investment grade and high-yield corporate bonds. The model generates scores over 1-day, 5-day, and 20-day horizons. The higher the score, the greater the probability that a corporate bond will have a significant credit spread tightening or widening.

2019-08-27 16:12:56+00:00 Read the full story…
Weighted Interest Score: 4.2300, Raw Interest Score: 2.1817,
Positive Sentiment: 0.2486, Negative Sentiment 0.0552

Quiz: Data Engineer, Data Analyst, Data Scientist — Which Role Fits You?

Data engineer, data analyst, and data scientist — these are job titles you’ll often hear mentioned together when people are talking about the fast-growing field of data science.

Of course, there are plenty of other job titles in data science, but here, we’re going to talk about these three primary roles, how they differ from one another, and which role might be best for you.

Although each company may have its own definitions for each role, there are big differences between what you might be doing each day as a data analyst, data scientist, or data engineer. We’re going to dig into each of these specific roles in more depth, but let’s start with a quick quiz that might help you figure out which makes the most sense for you…
2019-09-01 07:00:00+00:00 Read the full story…
Weighted Interest Score: 3.9673, Raw Interest Score: 2.1196,
Positive Sentiment: 0.2765, Negative Sentiment 0.1536

Eco Advisors Live with Indata’s Cloud-based Ipm Oms

Firm utilizing INDATA for Trading, Compliance and Reporting Functions

for Long/short UCITS Fund via Microsoft Azure

INDATA®, a leading industry provider of software, technology and managed services for buy-side firms, today announced that ECO Advisors LTD, based in London, is live with iPM OMS for the launch of the firm’s flagship fund, the Protea UCITS II – ECO Advisors ESG Absolute Return Fund.

ECO (short for Ethical Capital Opportunity)…
2019-09-03 00:00:00 Read the full story…
Weighted Interest Score: 3.8452, Raw Interest Score: 2.1524,
Positive Sentiment: 0.3386, Negative Sentiment 0.0242

6 Tips for Building a Training Data Strategy for Machine Learning

Without a well-defined approach for collecting and structuring training data, launching an AI initiative becomes an uphill battle. These six recommendations will help you craft a successful strategy.

Artificial intelligence (AI) and machine learning (ML) are frequently used terms these days. AI refers to the concept of machines mimicking human cognition. ML is an approach used to create AI. If AI is when a computer can carry out a set of tasks based on instruction, ML is a machine’s ability to ingest, parse, and learn from that data itself in order to become more accurate or precise about accomplishing that task.

Executives in industries such as automotive, finance, government, healthcare, retail, and tech may already have a basic understanding of ML and AI. However, not everyone is an expert in developing a training data strategy, a necessary first step for realizing a high return on machine learning investments.

AI systems learn by example, and the more, high-quality examples they have, the better they’ll learn. Insufficient or low-quality training data can result in unreliable systems that reach the wrong conclusions, makes poor decisions, can’t handle real-world variation, and introduce or perpetuate bias, among other problems. Poor data is also expensive. IBM estimated that poor data quality in the United States costs the country’s economy roughly $3.1 trillion per year.

2019-09-06 00:00:00 Read the full story…
Weighted Interest Score: 3.8282, Raw Interest Score: 1.9417,
Positive Sentiment: 0.2222, Negative Sentiment 0.1755

Is Money (Still) Too Tight To Mention: Forrester’s New Research On The Future Of Financial Well-Being

Technology presents a huge opportunity to achieve major improvements in supporting the financial well-being of billions of consumers while at the same time rebuilding trust and confidence in our financial system. Digital technologies (APIs, AI, automation, etc.) are already changing how customers manage their finances and plan for their future. Fintech disruptors such as Acorns, Starling Bank, and WeBank have introduced innovative business and pricing models that are mobile- and digital-first. Adjacent industry players and big tech firms are also venturing into financial services and digital money management and financial advice, leveraging AI, machine learning, big data, and network effects to acquire new customers and drive financial inclusion. In response, incumbents like BBVA, Commonwealth Bank of Australia, and USAA are improving their own digital capabilities to attract and retain existing customers.

2019-09-03 05:57:14-04:00 Read the full story…
Weighted Interest Score: 3.8229, Raw Interest Score: 2.1284,
Positive Sentiment: 0.3634, Negative Sentiment 0.1038

Knowledge Graphs for Robust Data Governance

More data, more sources, more conflicts. More self-service reporting, more cross-functional analytics, more government and industry regulations. Without a way to govern all the data in their possession, businesses are not going to do well at creating reports or dashboards or building data consensus across departments. Nor will they feel confident that they’re not missing the mark on GDPR or other privacy mandates that carry stiff penalties. Nor c…
2019-08-29 07:35:39+00:00 Read the full story…
Weighted Interest Score: 3.6974, Raw Interest Score: 1.9217,
Positive Sentiment: 0.1088, Negative Sentiment 0.0967

Embracing Technology to Shape Capital Markets of the Future

Editor’s Note: This article was first published in WFE’s Focus magazine and on Nasdaq’s website.

By Brad Peterson, EVP and Chief Technology and Information Officer, Nasdaq

We live in an era of disruption where the progress of digital technology is transforming our economies, the way we live, work and operate our businesses at a rapid pace. From a capital markets perspective, we see unprecedented technological progress that gives us the opportun…
2019-08-30 17:32:48+00:00 Read the full story…
Weighted Interest Score: 3.6498, Raw Interest Score: 1.5203,
Positive Sentiment: 0.5296, Negative Sentiment 0.1367

Hot Topics in Data Science: Becoming a Data Scientist

“Data Scientists are tasked with ‘extracting non-obvious and useful patterns from large data sets.” – John Kelleher and Brendan Tierney
In order to do this they need to be part of a team with a wide variety of skills.  We will discuss the different roles and skills that are needed on successful data science projects. These include :

  • Domain Expertise, knowing what problems should be solved and what can be action-ed
  • Data Ethics and Regulations, what data are you allowed to use
  • Data Wrangling and Databases, a large portion of a data science project is spent in this activity
  • Data Visualization, effect display of large data sets is key for understanding the models
  • Statistics and Probability, understanding analytical techniques
  • Machine learning, what models apply and how do you interpret the results.
  • Communication, the best model in the world won’t be used if it is not communicated correctly

There are many paths to building these skills we will focus on how properly trained Subject Mater Experts (SMEs) can play a key role in leading data science initiatives.

2019-09-10 00:00:00 Read the full story…
Weighted Interest Score: 3.5821, Raw Interest Score: 1.7910,
Positive Sentiment: 0.2985, Negative Sentiment 0.0000

AutoML Tools Emerge as Data Science Difference Makers

The days of handcrafted algorithms aren’t quite over, but it’s hard to dismiss to impact that automated machine learning (AutoML) is having on the data science field. As companies look to imbue intelligence into their products and services, AutoML tools will lower the barrier of entry into data science and open the door for data-driven automation on vast scales.

In the past few years, we’ve seen a surge of interest in AutoML tools, which automate a range of tasks in the data science workflow. While automated ML features may be found in a range of tools, the AutoML category has a fairly defined set of features, including: acquiring and prepping data; engineering features from the data; selecting the best algorithm; tuning the algorithm; and deployment and monitoring of production models.
2019-08-28 00:00:00 Read the full story…
Weighted Interest Score: 3.4709, Raw Interest Score: 1.7788,
Positive Sentiment: 0.1933, Negative Sentiment 0.0967

Wipro and Google Cloud Expand Partnership to Accelerate Digital Transformation

A recent press release states, “Wipro Limited, a leading global information technology, consulting and business process services company, today announced the expansion of its strategic partnership with Google Cloud to accelerate cloud adoption and digital transformation for global enterprises. By collaborating with Google Cloud, Wipro will catalyze innovation for enterprises in industry verticals such as consumer goods, BFSI, semiconductor, and h…
2019-09-03 07:05:44+00:00 Read the full story…
Weighted Interest Score: 3.2555, Raw Interest Score: 1.9042,
Positive Sentiment: 0.3686, Negative Sentiment 0.0000

How To Improve Cybersecurity With Data Science

Are you startled by the rise of cyberattacks globally? Well, your business is not immune to these attacks, and you should never be complacent with your existing security measures. There is a need to employ professionals to handle the security aspect of your business. Some of the people that will give high-level ideas on your security systems include data scientists, ethical hackers, and IT professionals.

Over recent years, the development of rel…
2019-08-27 20:26:06+00:00 Read the full story…
Weighted Interest Score: 3.0883, Raw Interest Score: 1.7009,
Positive Sentiment: 0.1392, Negative Sentiment 0.4484

R Backers Tout Funding Milestone, Seek Comeback

Reports of the demise of R as a programming language are exaggerated, according to community leaders, who note the R Foundation has so far approved the distribution of grants and sponsorships totaling $1 million.

The milestone reported this week follows days after a report in a closely watched industry index showed the Python language growing in popularity among data science programmers at the expense of R, which slipped another two places in August rankings, down 14 percent.

Not so fast, say backers of the statistical computing and graphics programming language, who announced the million-dollar milestone on Thursday (Aug. 28). As it gears up for its fall grant application cycle, the R Consortium said grant and sponsorship recipients include development of a centralized tool called R-hub used to check R packages consisting of functions, compliant code and sample data.

2019-08-28 00:00:00 Read the full story…
Weighted Interest Score: 2.9484, Raw Interest Score: 2.4570,
Positive Sentiment: 0.3686, Negative Sentiment 0.1229

AI Weekly: Cutting-edge research promises to imbue AI with contextual knowledge

Viewing scenes and making sense of them is something people do effortlessly every day. Whether it’s sussing out objects’ colors or gauging their distances apart, it doesn’t take much conscious effort to recognize items’ attributes and apply knowledge to answer questions about them.

That’s patently untrue of most AI systems, which tend to reason rather poorly. But emerging techniques in visual recognition, language understanding, and symbolic program execution promise to imbue them with the ability to generalize to new examples, much like humans.
2019-08-30 00:00:00 Read the full story…
Weighted Interest Score: 2.9311, Raw Interest Score: 1.4490,
Positive Sentiment: 0.2355, Negative Sentiment 0.3804

AI generates melodies from lyrics

Generating sequences of musical notes from lyrics might sound like the stuff of science fiction, but thanks to AI, it might someday become as commonplace as internet radio. In a paper published on the preprint server (“Conditional LSTM-GAN for Melody Generation from Lyrics“), researchers from the National Institute of Informatics in Tokyo describe a machine learning system that’s able to generate “lyrics-conditioned” melodies from learned relationships between syllables and notes.

“Melody generation from lyrics has been a challenging research issue in the field of artificial intelligence and music, which enables to learn and discover latent relationship between interesting lyrics and accompanying melody,” wrote the paper’s coauthors. “With the development of available lyrics and melody dataset and [AI], musical knowledge mining between lyrics and melody has gradually become possible.”
2019-08-30 00:00:00 Read the full story…
Weighted Interest Score: 2.9064, Raw Interest Score: 1.5858,
Positive Sentiment: 0.0947, Negative Sentiment 0.1183

The Data Warehouse, the Data Lake, and the Future of Analytics

Data lakes were created in response to the need for Big Data analytics that has been largely unmet by data warehousing. The pendulum swing toward data lake technology provides some remarkable new capabilities, but can be problematic if the swing goes too far in the other direction. Far from being at the end of this evolutionary process, we are in the middle of it, said Anthony Algmin, CEO of Algmin Data Leadership, during his presentation titled Data Warehouse vs. Data Lake Technology at the DATAVERSITY® Enterprise Analytics Online conference.

The data warehouse, formerly the standard source for business insights, faces serious competition from the data lake. Providing ad hoc analytics, storage for unstructured data, and unparalleled scalability, data lakes are able to handle today’s data fast-growing data demands, but they have their limitations. Algmin compared data warehouse and data lake technology and their respective roles now and going forward.
2019-08-27 07:35:36+00:00 Read the full story…
Weighted Interest Score: 2.8802, Raw Interest Score: 1.5513,
Positive Sentiment: 0.2998, Negative Sentiment 0.2477

How Culture, Data, and Skills Serve as Barometers for Organizational Data Science Preparedness

Click to learn more about author Steve MacLauchlan.

I’ve had the good fortune over my career of working with many different organizations across many different industries. Often, I’ve been in an advisory role assisting organizations with getting a handle on their data assets and finding value in the insights those assets can provide. When data is integrated, clean, governed, and understood the whole is worth far more than the sum of the parts. T…
2019-09-02 07:35:06+00:00 Read the full story…
Weighted Interest Score: 2.8032, Raw Interest Score: 1.4606,
Positive Sentiment: 0.2532, Negative Sentiment 0.3895

Seeing the Big Picture on Big Data Market Shift

view in the “I want to be data-driven” conversation are the nitty-gritty details of how actually to become a data-driven organization. The grand hope is that artificial intelligence, in the guise of machine learning, will power our data-driven aspirations, and it’s clear that big data is the raw commodity that makes it all possible. But the tough question is how to effectively turn that raw data into something the algorithms can work with.

The truth is that many organizations are struggling to turn that raw data into high powered AI fuel. Capturing, storing, and processing big data still poses significant c…
2019-08-27 00:00:00 Read the full story…
Weighted Interest Score: 2.8023, Raw Interest Score: 1.8269,
Positive Sentiment: 0.0716, Negative Sentiment 0.1433

Investor expectations send Appen on rollercoaster

“The moves we’re making with our chief technology officer Wilson Pang put us in a tremendous position to be a genuine tech company,” he said.

“Our vision is to deliver higher volumes of quality data at speed. Our crowd is a great asset, but it makes what we do expensive.”

Appen provides the world’s biggest technology companies with the crowd-sourced data needed to train the AI algorithms that power everything from search engines to voice assist…
2019-08-28 00:00:00 Read the full story…
Weighted Interest Score: 2.7784, Raw Interest Score: 1.5337,
Positive Sentiment: 0.2360, Negative Sentiment 0.1416

SEI embraces intelligent automation

A survey of 50 global service providers and hedge funds, conducted by fintech automation platform Truss Edge, found that nearly a third of respondents (62.5 per cent) said they felt hedge fund managers were not dedicated enough of their budget to trading and data management activities.

The Truss Edge survey revealed that investment in IT has become quite the challenge for new market entrants, with more than 20 per cent of respondents saying that…
2019-08-27 00:00:00 Read the full story…
Weighted Interest Score: 2.7669, Raw Interest Score: 1.6961,
Positive Sentiment: 0.2678, Negative Sentiment 0.1607

AI Systems Will Become Our Workmates, Workmates We Understand and Trust

Contributed Commentary by Pieter Ballon, Director of SMIT at VUB

Science fiction films featuring robots or intelligent machines in the leading roles (such as Blade Runner, Real Humans, Westworld, etc.) have caused us to look at a future with AI with some trepidation. But it won’t happen overnight. We will have time to adjust ourselves to the idea and to control AI systems where necessary so that it becomes a gradual evolution, not a sudden revol…
2019-08-29 21:30:01+00:00 Read the full story…
Weighted Interest Score: 2.4585, Raw Interest Score: 1.1057,
Positive Sentiment: 0.2640, Negative Sentiment 0.1238

Temenos Acquires Kony — Two Leaders Unite

Yesterday, Temenos announced its acquisition of US vendor Kony. Both Kony and Temenos are Leaders in the recent “The Forrester Wave™: Digital Banking Engagement Platforms, Q3 2019.” This acquisition adds Kony Quantum, a low-code development platform, and Kony DBX to Temenos’ digital front-end product portfolio. Kony DBX is a digital banking engagement platform (DBEP), a solution some may call an omnichannel banking platform. It is still too early…
2019-08-29 09:29:35-04:00 Read the full story…
Weighted Interest Score: 2.4366, Raw Interest Score: 1.5816,
Positive Sentiment: 0.2707, Negative Sentiment 0.0427

Tesla’s 500,000 Vehicles on the Road Give it a Lead in Generating Data for its Self-Learning AI Self-Driving Cars

By AI Trends Staff

Tesla is making its own way in the application of AI to self-driving cars, making several key decisions that contrast with designs of other AI self-driving car software developers, and having the advantage of a large installed base of vehicles on the road.

One early decision was to make over the air (OTA) software updates available to Tesla drivers. In October 2015, each of Tesla’s 60,000 owners received an OTA update, based …
2019-08-29 21:30:05+00:00 Read the full story…
Weighted Interest Score: 2.3669, Raw Interest Score: 1.4497,
Positive Sentiment: 0.1479, Negative Sentiment 0.2071

3 ways to ensure employees are driving innovation in your business

We live and work in a world defined by continual evolution and rapid change. Unsurprisingly, it’s the companies that are prepared to develop and innovate that stand the best chance of success in modern-day business. This isn’t just about creating brand new products or services from scratch; it’s about optimizing existing practices and aiming to improve efficiency and performance on a day to day basis.

Every business has a different approach to i…
2019-08-30 11:31:14+00:00 Read the full story…
Weighted Interest Score: 2.3308, Raw Interest Score: 1.0223,
Positive Sentiment: 0.7974, Negative Sentiment 0.0613

A Cloud Twist to the Farm-to-Table Movement

Mail-order services, or what a cloud-enabled industry calls “subscription box” services, have become all the rage for everything from fine wine to pet food. Consumers can also order Kansas City steaks online, but a partnership between a startup and Microsoft has yielded a data-driven approach to subscription box sales that allows one entrepreneur to better track beef, poultry and pork shipments, determine which of the 21 different varieties are s…
2019-08-27 00:00:00 Read the full story…
Weighted Interest Score: 2.1887, Raw Interest Score: 1.3901,
Positive Sentiment: 0.2070, Negative Sentiment 0.2366

PredictHQ meshes event data with machine learning to help airlines forecast demand

Big data has emerged as a lucrative by-product of the digital revolution, enabled by vast banks of information collated from the likes of smartphones, sensor networks, and cloud-based apps and databases. Deriving meaningful insights from this data can help cities figure out the real-time flow of people and traffic, for example, or enable life insurance providers to establish more accurate mortality rates. Extracting meaning from big data through …
2019-09-03 00:00:00 Read the full story…
Weighted Interest Score: 2.1455, Raw Interest Score: 1.3200,
Positive Sentiment: 0.2493, Negative Sentiment 0.1173

How Much Should Bank & Credit Union Marketing Executives Make?

The way Marketing operates within financial institutions has hugely changed with the shift from traditional methods to much greater reliance on digital marketing tools and techniques. Yet changes in marketing management have been more uneven. The efforts to elevate the position of the Chief Marketing Officer to a place on the executive management team, for example, remains a work in progress.

There are numerous individual examples of where bank …
2019-09-03 00:05:06+00:00 Read the full story…
Weighted Interest Score: 2.0180, Raw Interest Score: 1.3382,
Positive Sentiment: 0.1986, Negative Sentiment 0.0836

8 ways big data is being used to create the next generation of mobile apps

Big data can help increase app engagement, optimize resources, and provide a significantly better user experience. It can personalize content delivery and make the content more relevant. For business, it can improve conversion rates.

Quite simply, big data can provide information for app developers to help create apps that users want.

Here are 7 ways app developers are using big data to create the next generation of mobile apps:

A more seamles…
2019-08-28 07:56:37+00:00 Read the full story…
Weighted Interest Score: 1.9652, Raw Interest Score: 1.3199,
Positive Sentiment: 0.3356, Negative Sentiment 0.1119

The Intelligent Edge revolution

I’m old enough now to have experienced several distinct waves of transformation brought by digital technology. As a kid, the personal computing revolution captured my imagination and energy with gaming and programming and new ways to create and do work. As a young adult, personal computers were everywhere and the internet and the World Wide Web connected them, and more importantly, the people using them, in ways that allowed communication and inf…
2019-08-27 00:00:00 Read the full story…
Weighted Interest Score: 1.8883, Raw Interest Score: 1.1960,
Positive Sentiment: 0.3126, Negative Sentiment 0.1359

Tom Hulme from GV is joining us at Disrupt Berlin – TechCrunch

Based in London, Tom Hulme is a general partner for GV, the VC firm formerly known as Google Ventures. And Hulme isn’t your average VC as he likes to focus on hard problems instead of quick wins. He has become an important figure of the European VC landscape, that’s why I’m excited to announce that Glovo founder Oscar Pierre is joining us at TechCrunch Disrupt Berlin.

GV has had an interesting start in Europe. The firm originally announced a new…
2019-09-03 00:00:00 Read the full story…
Weighted Interest Score: 1.8715, Raw Interest Score: 1.2164,
Positive Sentiment: 0.1014, Negative Sentiment 0.2027

AI Clears the Skies for Tracking Bird Migrations

Bird migrations are so large that they appear on weather radar, filling the skies during spring and fall nights.This data could have been invaluable for ornithological research, but researchers have lacked the tools to effectively access and leverage it – until now.

Dan Sheldon, an AI researcher at the University of Massachusetts Amherst, explained the situation. Researchers had been able to conduct limited studies, identifying patterns that cou…
2019-08-29 00:00:00 Read the full story…
Weighted Interest Score: 1.8591, Raw Interest Score: 0.9465,
Positive Sentiment: 0.2611, Negative Sentiment 0.0653

Codebase Ventures’ Pressland subsidiary kicks off new initiative to fight fake news, misinformation online

The company’s Universal News Identifier, or UNID will help publishers and news organizations achieve greater transparency across digital platforms

Brooklyn-based Pressland has now indexed and analyzed over 10 million articles, 2 million keywords and 200,000 writers

( ) (OTCQB:BKLLF) said Tuesday that its media technology subsidiary Pressland, had launched a new initiative aimed at fighting fake news and misinformation online.

In a statement, t…
2019-09-03 00:00:00 Read the full story…
Weighted Interest Score: 1.8490, Raw Interest Score: 1.2421,
Positive Sentiment: 0.2281, Negative Sentiment 0.1267

Mellanox Works with VMware and NVIDIA to Enable Virtualized Machine Learning Solutions

According to a recent press release, “Mellanox Technologies, Ltd., a leading supplier of high-performance, end-to-end smart interconnect solutions for data center servers and storage systems, today announced that its RDMA (Remote Direct Memory Access) networking solutions for VMware vSphere enable virtualized Machine Learning solutions that achieve higher GPU utilization and efficiency. Benchmarks demonstrate that the NVIDIA® vComputeServer (vCS) for virtualized GPUs achieve two times better efficiency by using VMware’s paravirtualized RDMA (PVRDMA) technology than when using traditional networking protocols. The benchmark was performed on a four-node cluster running vSphere 6.7 equipped with NVIDIA T4 GPUs with vCS software and Mellanox ConnectX-5 100 GbE SmartNICs, all connected by a Mellanox Spectrum SN2700 100 GbE switch.”
2019-09-02 07:10:58+00:00 Read the full story…
Weighted Interest Score: 1.8378, Raw Interest Score: 1.2706,
Positive Sentiment: 0.8259, Negative Sentiment 0.0000

20 years after the dot-com crash: Is this time different?

Twenty years ago this year,’s sock puppet appeared in the Macy’s Thanksgiving Day Parade. The company flamed out the next year and became a symbol of dot-com excess. With the biggest wave of multi-billion-dollar tech-powered IPOs hitting the market, there has been some talk about a dot-com crash II.

But a lot has changed over the last 20 years.

In the late 1990s everybody was hatching a plan to “monetize” the internet. There were more …
2019-09-01 00:00:00 Read the full story…
Weighted Interest Score: 1.8347, Raw Interest Score: 1.0622,
Positive Sentiment: 0.1567, Negative Sentiment 0.2090

VMware Expands Telco and Edge Cloud Portfolio

VMware announced that it has expanded its telco and edge cloud portfolio to drive real-time intelligence for telco networks, as well as improved automation and security for telco, edge and IoT applications.

Already serving as a key infrastructure provider for most communications service providers and enterprise customers around the world, VMware is focused on enabling them to efficiently deploy and monetise their 4G and 5G network investments th…
2019-08-28 10:18:14+10:00 Read the full story…
Weighted Interest Score: 1.8313, Raw Interest Score: 1.2396,
Positive Sentiment: 0.2775, Negative Sentiment 0.0925

How to Choose a Scalable Data Management Solution (VIDEO)

A.M. Turing Award Laureate and database technology pioneer Michael Stonebraker delivered a welcome keynote at Data Summit 2019, titled “Big Data, Technological Disruption, and the 800-Pound Gorilla in the Corner.”

In his presentation, Stonebraker—who is an MIT Adjunct Professor and Tamr co-founder—outlined data management solution considerations as part of a larger discussion of the big data challenges facing enterprises today.

“Traditionally, vendors will sell you extract, transform, and load packages, and on top of that, they will tell you that you need master data management tools, and that’s available from the usual suspects—and that stuff does not scale. Just does not scale; that will work great on small problems,” he said.

2019-09-03 00:00:00 Read the full story…
Weighted Interest Score: 1.7502, Raw Interest Score: 1.0890,
Positive Sentiment: 0.0473, Negative Sentiment 0.3788

Facebook continues huge growth across Seattle, inks lease for 200K square-foot building in Bellevue

Facebook is showing no signs of slowing down its appetite for office space in the Seattle region.

The social media giant has inked a lease for Block 24, a 200,000 square-foot building in Bellevue, Wash. at the new Spring District. A Facebook spokesperson confirmed the lease, which is for the entire building. The Puget Sound Business Journal first reported the news.

Facebook has already leased 338,000 square feet in Block 16, another building un…
2019-08-30 16:51:54-07:00 Read the full story…
Weighted Interest Score: 1.6096, Raw Interest Score: 1.0835,
Positive Sentiment: 0.0878, Negative Sentiment 0.0586

Inside ThoughtSpot’s Plan for BI World Domination

With $248 million more in the bank and a valuation approaching $2 billion, you could say that ThoughtSpot is having a good day. The company has had a lot of those this year, thanks to a positive Gartner review and new customer additions. But as bright as things seem today, executives at the Palo Alto, California company are preparing for much bigger achievements in the years to come.

ThoughtSpot co-founder and executive chairman Ajeet Singh wasn…
2019-08-28 00:00:00 Read the full story…
Weighted Interest Score: 1.6005, Raw Interest Score: 0.9312,
Positive Sentiment: 0.3921, Negative Sentiment 0.1634

EmPOWER Uses AI to Better Serve Electricity-Dependent Populations

By Deborah Borfitz

Every community in the country includes people for whom electricity is literally a life-or-death matter—including individuals who receive dialysis because their kidneys stopped working and those who rely on an oxygen concentrator or ventilator to help them breath. A power outage can be a life-threatening event in a matter of hours for some medically fragile people, especially if backup batteries fail.

The increasing frequency…
2019-08-29 21:30:03+00:00 Read the full story…
Weighted Interest Score: 1.5668, Raw Interest Score: 0.7411,
Positive Sentiment: 0.2184, Negative Sentiment 0.3666

Intel unveils Frontera, the world’s fastest academic supercomputer

In August 2018, Dell EMC and Intel announced intentions to jointly design Frontera, an academic supercomputer funded by a $60 million grant from the National Science Foundation that would replace Stampede2 at the University of Texas at Austin’s Texas Advanced Computing Center (TACC). Those plans came to fruition in June when the two companies deployed Frontera, which was formally unveiled this morning.

Intel claims that Frontera can achieve peak…
2019-09-03 00:00:00 Read the full story…
Weighted Interest Score: 1.5660, Raw Interest Score: 1.0309,
Positive Sentiment: 0.1031, Negative Sentiment 0.0619

Data Analytics Streamlines Gaming Industry. Here’s How

In 2018, the video game industry revenue reached a new peak of $43.4 billion, which is 18% more compared to the previous year. This intensely growing sector breeds more complex and sweeping gaming formats, including desktop, mobile, console, VR, and others. As it is, data analysts and business intelligence developers are becoming truly helpful staff in gaming companies.

These numerous formats bring a flood of multi-source user data with them: pl…
2019-08-29 00:00:00 Read the full story…
Weighted Interest Score: 1.5227, Raw Interest Score: 0.8744,
Positive Sentiment: 0.2261, Negative Sentiment 0.2864

6 Data-Driven Marketing Strategies That Are Revolutionizing Sales

The sales profession is responding to major changes brought by big data. The big data revolution is making the sales industry more efficient and effective than ever.

In 2019, Forbes contributor Louis Columbus wrote a great article on the ways that big data is changing the sales and marketing profession. His article talked about utilizing big data for everything from customer analytics to optimizing pricing strategies.

However, there are additio…
2019-08-29 15:00:13+00:00 Read the full story…
Weighted Interest Score: 1.5194, Raw Interest Score: 0.8309,
Positive Sentiment: 0.5774, Negative Sentiment 0.0422

Convoy hires VPs of marketing and revenue, doubles workforce to 750 in bid to transform the trucking industry

Convoy is adding two new senior executives to lead marketing and revenue, capping a year of massive growth following a funding round that vaulted the on-demand trucking company into the rarefied realm of billion-dollar startups.

The company — backed by high-profile investors including Jeff Bezos, Reid Hoffman, Bill Gates and Google’s venture capital arm — has hired Amazon Web Services general manager Ryan Gavin as its new vice president of globa…
2019-08-27 16:16:36-07:00 Read the full story…
Weighted Interest Score: 1.4601, Raw Interest Score: 1.0964,
Positive Sentiment: 0.2500, Negative Sentiment 0.0962

How Small Businesses Will Benefit from 5G

Oh, the anticipation of it all. Long before enough of the new devices get into users’ hands to make a mainstream impact, 5G connectivity has been stirring up increasing attention in many sectors. From IT, retail, transportation and manufacturing to health care, entertainment, education and agriculture, nearly every industry will be impacted in some way by 5G.

Increasingly connected devices are driving the shift. In fact, IDC predicts more than 3…
2019-08-28 00:00:00 Read the full story…
Weighted Interest Score: 1.4080, Raw Interest Score: 0.9554,
Positive Sentiment: 0.5867, Negative Sentiment 0.1006

Software Delivery Management: ERP For IT Redux?

I attended Jenkins World in San Francisco a couple weeks back. One thing that stood out was CloudBees’ advocacy of a new market concept, software delivery management (SDM). CloudBees provides the following definition of SDM:

Software delivery management helps organizations streamline CI/CD processes and foster meaningful collaboration across all functions involved in software development and delivery. Its purpose is to increase software delivery…
2019-09-02 13:30:17-04:00 Read the full story…
Weighted Interest Score: 1.3882, Raw Interest Score: 1.1255,
Positive Sentiment: 0.2395, Negative Sentiment 0.1437

Tech giants want rules on facial recognition, but critics warn that won’t be enough

People walk past a CCTV camera at King’s Cross on August 16, 2019 in London. CCTV cameras using facial recognition are being investigated by the UK’s data protection watchdog.

It almost comes naturally to many smartphone users today. You can just take out your iPhone — or Android equivalent — and hold it up to your face to unlock the device. But the technology behind that has become increasingly controversial of late, with business executives an…
2019-08-30 00:00:00 Read the full story…
Weighted Interest Score: 1.2328, Raw Interest Score: 0.8151,
Positive Sentiment: 0.1223, Negative Sentiment 0.3362

The State of Data Science in 2019 and How to Overcome the Talent Shortage

Join Anaconda’s Chief Technology Officer, Peter Wang, and Maria Khalusova, Developer Advocate at JetBrains, for a webinar on August 28. We’ll discuss the results of our 2019 survey and how the data science talent shortage will be addressed.

Watch Now.
2019-09-03 00:00:00 Read the full story…
Weighted Interest Score: 1.1905, Raw Interest Score: 0.7937,
Positive Sentiment: 0.0000, Negative Sentiment 0.3968

In escalating trade war, US consumers may see higher prices

In China, authorities began charging higher duties on American imports at 2pm on Sunday (AEST), according to employees who answered the phone at customs offices in Beijing and the southern port of Guangzhou. They declined to give their names.

Tariffs of 10 per cent and 5 per cent apply to items ranging from frozen sweet corn and pork liver to marble and bicycle tires, the government announced earlier.

After Sunday’s move, 87 per cent of textile…
2019-09-02 00:00:00 Read the full story…
Weighted Interest Score: 1.1777, Raw Interest Score: 0.7682,
Positive Sentiment: 0.0768, Negative Sentiment 0.5378

What Keeps Top BD Execs Up at Night?

(Photo: Tom McKinsey)

The 2019 Broker-Dealers of the Year winners met recently in Chicago to share their views on the latest competitive, regulatory and other issues.

This year, for instance, the BD leaders described the importance of innovation, the ins and outs of the Securities and Exchange Commission’s Regulation Best Interest, the future of the advisory business and more.

The leaders first focused on competitive pressures in the industry,…
2019-08-27 00:00:00 Read the full story…
Weighted Interest Score: 1.1551, Raw Interest Score: 0.7391,
Positive Sentiment: 0.1285, Negative Sentiment 0.2142

Melbourne Business School and SAS Extend Business Analytics Teaching Relationship

Melbourne Business School at the University of Melbourne and analytics company SAS have announced a five-year extension of the relationship they entered into in 2015.

The original agreement between the two parties was in support of world class research related to advanced analytics for business; to establish a Master of Business Analytics degree program; and the founding of the Centre for Business Analytics.

The School’s Master of Business Anal…
2019-08-30 10:22:12+10:00 Read the full story…
Weighted Interest Score: 1.1093, Raw Interest Score: 0.7401,
Positive Sentiment: 0.2467, Negative Sentiment 0.1645

Improved Workspaces Key Reason Banking Brands Opt for Green Design

More than ever, banks and credit unions are considering the effect of corporate lifestyle on the environment. They recognize that building environmentally friendly spaces using green design and methods can have a long-lasting impact.

In particular, financial institutions that are serious about a green building commitment are weighing the advantages of following the standards and guidelines espoused by the U.S. Green Building Council (USGBC), a n…
2019-08-29 00:02:13+00:00 Read the full story…
Weighted Interest Score: 1.0259, Raw Interest Score: 0.7816,
Positive Sentiment: 0.3420, Negative Sentiment 0.0977

A story of my first gold medal in one Kaggle competition: things done and lessons learned

A story of my first gold medal in one Kaggle competition: things done and lessons learned

Or a story about a great team

Taking part in kaggle competitions is a serious challenge. You need to spend a lot of time and efforts, study new things and try many tricks to get a high score. And often this isn’t enough because there are a lot of great people, who have more experience, more free time, more hardware or some other advantages (maybe they even…
2019-09-02 00:27:02.127000+00:00 Read the full story…
Weighted Interest Score: 1.0082, Raw Interest Score: 0.8769,
Positive Sentiment: 0.4531, Negative Sentiment 0.1608

Elon Musk’s Other Big Start-Up, Neuralink, Is Gaining Momentum

You may have heard that Elon Musk wants to embed tiny brain computers so humans can keep pace with the advances being made in the field of artificial intelligence.

That’s the part that gets all of the press excited because frankly, it seems crazy. What the founder of Tesla (TSLA – Get Report) and SpaceX is actually doing is more compelling, and important.

He’s building technology to allow humans to access more of their brain function.

Futurists like Ray Kurzweil have been talking about this for decades. He calls it the singularity, the point when humans…
2019-09-01 14:20:35-04:00 Read the full story…
Weighted Interest Score: 0.8945, Raw Interest Score: 0.7302,
Positive Sentiment: 0.1460, Negative Sentiment 0.1278

Movies That Can Help You Understand Data Privacy and Hacking

Science fiction entertainment industry has always been a step ahead of the world of technology and innovations. The reason is not that the directors, story writers or screenplay content creators are smarter than the scientists and entrepreneurs. The reason is, they are not bound and burdened from reality, and imagination has no boundaries. They can create and experiment with the creativity in technology that may not even exist or not invented or …
2019-08-29 11:00:00+00:00 Read the full story…
Weighted Interest Score: 0.8043, Raw Interest Score: 0.7427,
Positive Sentiment: 0.2682, Negative Sentiment 0.3920

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