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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.

Keys to Managing Real Time Data During COVID-19

n this special guest feature, Ben Schein, VP of data curiosity at Domo, draws on his many years of experience with real time data working at Target during the days of Black Friday to the current day where he works to monitor a new COVID-19 tracker. There is something very powerful and culture changing about being connected to your data (and by extension your customer or constituent or patient) in real time.

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.

The Evolution of Digital Banking Post COVID-19

In this contributed article, Karen Krivaa, VP of Marketing at GigaSpaces Technologies, discusses how Open Banking will become more of a necessity now and the need for efficient data architecture to help drive the adoption. In the current COVID-19 climate, this notion brings the Digital Banking (with need for Open Banking) idea back into the limelight.

Book Review: The Art of Statistics – How to Learn from Data by David Spiegelhalter

This recent title, “The Art of Statistics – How to Learn from Data,” by University of Cambridge statistician David Spiegalhalter, is an important book on a number of fronts. I particularly appreciated the topics covered in the book that touch on important parts of the Data Science Process: data visualization, linear regression, logarithmic scales, Pierson correlation coefficient, data distributions, logistic regression, ROC curves, classification trees, over-fitting, bootstrap, probability theory, probability distributions, Bayes theory, and much more. I think new data scientists should engage a gentle introduction of these topics before diving into mathematical theory and code.

AI: Stress Relief for IT’s “New Normal”

In this special guest feature, Rachel Obstler, VP of Product at PagerDuty, focuses on the power for data analytics and AI during today’s current environment. It’s critical to automate processes to create efficiencies — nothing is more important than getting the right information to the right people at the right times. AI contributes to this success in several ways.

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.

Not Just Another Trend: The Postmodern Cloud Computing Imperative

In this contributed article, editorial consultant Jelani Harper discusses a variety of interrelated topics: cloud computing, data orchestration, data integration, and data governance. The cloud’s worth to the modern enterprise is remarkably simple, yet undeniable: it enables them to do more with less. It empowers them to scale better, store data cheaper, and access IT resources much faster than they could if everything were on premise.

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.

5 Steps to an Effective SMB Analytics Program

In this special guest feature, Christopher Risher, Senior Program Manager at Onepath, discusses the 5 steps SMBs can take to implement a business analytics program. These steps will open up a whole new world of insight into your organization and help you take it to the next level.