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The insideBIGDATA IMPACT 50 List for Q3 2020

The team here at insideBIGDATA is deeply entrenched in following the big data ecosystem of companies from around the globe. We’re in close contact with most of the firms making waves in the technology areas of big data, data science, machine learning, AI and deep learning. Our in-box is filled each day with new announcements, commentaries, and insights about what’s driving the success of our industry so we’re in a unique position to publish our quarterly IMPACT 50 List of the most important movers and shakers in our industry. These companies have proven their relevance by the way they’re impacting the enterprise through leading edge products and services. We’re happy to publish this evolving list of the industry’s most impactful companies!

Video Highlights: The Soul of a New AI

Joseph Blue is a Customer-Facing Data Scientist at DataRobot and has 20 years of hands-on experience including concentrations in financial services & healthcare. Prior to DataRobot, he built solutions for United Healthcare, HNC Software, ID Analytics and MapR. Currently helping to democratize data science with Automated Machine Learning (AutoML) – one organization, indivisible, with insights and value for all. Joseph Blue was speaking at ODSC Europe 2019 in the presentation below.

Research Highlights: ExBERT

In the insideBIGDATA Research Highlights column we take a look at new and upcoming results from the research community for data science, machine learning, AI and deep learning. Our readers need to get a glimpse for technology coming down the pipeline that will make their efforts more strategic and competitive. In this installment we review a new paper: EXBERT: A Visual Analysis Tool to Explore Learned Representations in Transformers Models by researchers from the MIT-IBM Watson AI Lab and Harvard.

Special Report: The State of AI and Machine Learning

Appen Limited, a leading provider of high-quality training data for organizations that build effective AI systems at scale, released its annual State of AI Report for 2020. The report highlights increasing C-suite involvement and investment in enterprise AI projects as well as data being a key challenge as AI models get more frequent updates in production. The report also reveals the recent acceleration of AI strategies in the wake of the COVID-19 pandemic.

How AI Motivates A Remote Workforce

In this contributed article, Dr. Tommy Weir, CEO and founder of enaible, discusses how to use AI to ensure that workers are focused “deep work” — the work that fulfills the most important business objectives — rather than process work. AI can also help companies reveal who the most valuable knowledge workers are – those that are making a big difference in fulfilling company objectives and driving profits.

Video Highlights: Maching Learning in R – Three Reasons to Use tidymodels

The following video presentation comes from my favorite Meetup group “LA R users group”, a 2,200+ member group that puts on some amazing virtual presentations. This talk centers around that fact that modeling and machine learning in R involve a bewildering array of heterogeneous packages, and establishing good statistical practice is challenging in any language. The tidymodels collection of packages offers a consistent, flexible framework for your modeling and machine learning work to address these problems.

Research Highlights: YOLO Revisited

In the insideBIGDATA Research Highlights column we take a look at new and upcoming results from the research community for data science, machine learning, AI and deep learning. Our readers need to get a glimpse for technology coming down the pipeline that will make their efforts more strategic and competitive. In this installment we review a new update of the highly-acclaimed real-time object detector “You Only Look Once” or YOLO algorithm that is more accurate than ever.

Video Highlights: Delivering the Enterprise Data Cloud

In the video presentation below from the O’Reilly Strata Data Conference, Arun Murthy, co-founder of Hortonworks and current CPO of Cloudera, discusses how enterprises can extract and act on big data.

Three Ways Data Scientists are Fighting COVID-19

Data scientists in academia, non-profits, and the government have come together to track and respond to the economic & humanitarian impacts of the coronavirus. Put together by our friends over at SafeGraph, here are three ways data scientists are fighting COVID-19.

How to Produce Cleaner Data for Robust Pricing

In this contributed article by MIT Sloan School of Management Prof. Negin Golrezaei, found that there are ways to limit price manipulation. The key is the pricing algorithm. Instead of using bids to directly set prices, a prominent group of researchers designed an algorithm that uses censored bids– in this case a binary signal – to indicate whether the buyer wins in the prior auction or not.