In this special guest feature, Joe Gaska, Founder and CEO of GRAX, discusses how SaaS data ownership is the key to data protection and more impactful machine intelligence. Also provided are three simple guideposts that can quickly tell an organization if they have found the right tool for the job.

What organizations can do with data is set to dramatically shift in 2021 and beyond, according to IoT connectivity specialist Eseye, as more IoT devices are deployed and the data they generate dwarfs that collected through traditional online channels. Eseye predicts that data mined from user interactions with things rather than digital services will create a wealth of rich data, bigger and more detailed than online data ever was, enabling new business models, the creation of new products and services and new levels of understanding of human behavior.

It’s great to see the Fed move in the direction of potentially providing clarification and additional guidance around supervision of AI/ML in financial services. Additional guidance from the Fed and other agencies (OCC, CFPB) would help a lot to clarify supervisory expectations when AI/ML models are used. Specific guidance around these topics, provided by Anupam Datta, the Co-Founder, President, and Chief Scientist of Truera, are important.

In this contributed article, Chetan Alsisaria, CEO & Co-Founder of Polestar Solutions & Services Pvt Ltd., takes a closer look at a popular ML use case and how decision making can be improved by applying ML and deriving value from it. Investing in data science processes can add value in several ways – influencing critical decisions in recruitment, marketing, sales, supply chain, operations and many more.

If data isn’t accessible for real-time analytics, is it still valuable? Immuta’s native Databricks integration avoids this dilemma by using ML to streamline data access governance, and deliver analytics-ready data quickly and securely. For Databricks users leveraging Immuta, ML drives sensitive data discovery, dynamic access control, and consistent policy enforcement.

In this special guest feature, Erik Fogg, Chief Operating Officer at ProdPerfect, covers some of the main benefits of adding AI to the software testing process, and why you should consider adding it to yours if you haven’t already. ProdPerfect is an autonomous E2E regression testing solution which leverages data from live user behavior data.

The new data science title “Hands-On Exploratory Data Analysis with Python,” by Suresh Kumar Mukhiya and Usman Ahmed from Packt Publshing is a welcome addition to the growing list of books directed to help newbie data scientists improve their skills. I’m always on the lookout for texts that can help my students find their way along the challenging path toward becoming a data scientist. I think this book fills a void for Exploratory Data Analysis (EDA) learning resources.

In this regular column, we’ll bring you all the latest industry news centered around our main topics of focus: big data, data science, machine learning, AI, and deep learning. Our industry is constantly accelerating with new products and services being announced everyday. Fortunately, we’re in close touch with vendors from this vast ecosystem, so we’re in a unique position to inform you about all that’s new and exciting. Our massive industry database is growing all the time so stay tuned for the latest news items describing technology that may make you and your organization more competitive.

insideBIGDATA is pleased to announce that it is a Community Partner for the upcoming “Data Science Salon for Healthcare, Finance & Technology” virtual event (use special discount code: insideBIGDATA20 when registering). DSS Virtual Salon | Applying AI & Machine Learning to Healthcare, Finance & Technology is the only industry conference that brings together specialists in healthcare, finance and technology data science fields to educate each other, illuminate best practices, and innovate new solutions in a casual atmosphere.