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Databricks Launches SQL Analytics to Enable Cloud Data Warehousing on Data Lakes

Databricks, the data and AI company, announced the launch of SQL Analytics, which for the first time enables data analysts to perform workloads previously meant only for a data warehouse on a data lake. This expands the traditional scope of the data lake from data science and machine learning to include all data workloads including Business Intelligence (BI) and SQL.

Interview: Feature Stores for Machine Learning

In this interview, Mike Del Balso from Tecton and Willem Pienaar from Feast answer our questions and explain why feature stores are key to building machine learning models and deploying them to production to power new applications.

Interview: Andy Horng, Co-Founder and Head of AI, Cultivate

I recently caught up with Andy Horng, Co-Founder and Head of AI at Cultivate, to get a sense for the technology underlying the company’s AI-powered leadership development platform. NLP plays an important role, and as a result they’re using the RoBERTa language model for very good results.

Interview: Bernie Wu, Head of Business Development, MetalSoft

I recently caught up with Bernie Wu, Head of Business Development at MetalSoft, to address core industry trends like the evolution within companies where integrated technologies from Big Data to AI are driving entirely new ways for how businesses operate and how these leaps impacting their infrastructures and workload and where he sees the next generation of computing heading.

Interview: Global Technology Leader PNY

We recently caught up with our friends over at PNY to discuss a variety of topics affecting data scientists conducting work on big data problem domains including how “Big Data” is becoming increasingly accessible with big clusters with disk-based databases, small clusters with in-memory data, single systems with in-CPU-memory data, and single systems with in-GPU-memory data. Answering our inquiries were: Bojan Tunguz, Senior System Software Engineer, NVIDIA and Carl Flygare, NVIDIA Quadro Product Marketing Manager, PNY.

Interview: Justin Grossbard, Co-founder and CEO, Compare Forex Brokers

I recently caught up with Justin Grossbard, Co-founder and CEO of Compare Forex Brokers, to discuss his perspective for how big data has made a significant impact on financial markets, including Forex. He also assesses the success in incorporating machine learning and algorithmic trading techniques to expand upon execution and trading strategies in order to make more informed decisions.

Interview: Felix Dorrek, Ph.D.

I recently caught up with Felix Dorrek to discuss his research in the area of deep generative networks. The interview touches on the technology’s power, practical applications, importance to business in 2020, as well as generating synthetic data. Felix holds a Ph.D. in mathematics from the Vienna Technical University where he conducted research in the field of Convex Geometry.

Interview: Mike Hudy, Ph.D., Chief Science Officer at Modern Hire

I recently caught up with Mike Hudy, Ph.D., Chief Science Officer at Modern Hire, to discuss the use of AI in the hiring process. Hint: it includes a robust and specific code of ethics, implementation with a specific problem in mind, and lots of transparency.

Interview: Beerud Sheth, CEO of Gupshup

I recently caught up with Beerud Sheth, CEO of Gupshup, to discuss the state-of-the-art for conversational AI and chatbot technology. He also gives us an idea for future areas of evolution for AI chatbots.

Interview: Steve Yurko, CEO of APEX Analytix

I recently caught up with Steve Yurko, CEO of APEX Analytix to discuss his views on the big data technology landscape in 2020. in order to become true big data winners, companies need to prioritize quality data as the foundation of predictive analytics that ultimately answer real business questions.