In this contributed article, Sean McDermott, CEO and founder of Windward Consulting Group and RedMonocle, discusses how AIOps isn’t just a solution, it’s a long-term strategy for increasing performance, predicting outages, automating mundane tasks and improving risk management. These ultimately …
In this special guest feature, Raf Keustermans, CEO of Sportlight Technology, discusses how professional sports teams around the world measure everything — individual player performance, team performance, how much an athlete is training, player speed and endurance during a game, …
Teams and Clubs Measure Everything: How Can They Consolidate Their Data? Read more »
In this contributed article, John Gleeson, COO of Storj, discusses how decentralized cloud storage (DCS) brings the best parts of both major centralized providers (highly performant, accessible, little downtime, simplicity) with the best parts of backup providers, like Wasabi and …
Decentralized Storage Removes the Headache from Data Backups Read more »
In this contributed article, Billy Bosworth, CEO of Dremio, discusses the need to unlock data analytics value to impact your bottom line. In the world of analytics infrastructure, it’s time to stop playing on the margins and instead pursue a …
Rethinking the Data Analytics Paradigm to Unlock Real Data Value Read more »
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 …
In this contributed article, Patrice Simard, CEO and Co-founder of Intelus.ai, proposes an alternative for organizations of all sizes to develop more effective ways to leverage machine learning and artificial intelligence. The goal is not to disparage anyone’s approach; rather, it …
In this special guest feature, Stephen Bailey, Director of Data & Analytics, Immuta, believes that it’s the data engineers who should take on the responsibility of data privacy since they are the ones who have built the systems that collect …
Why Privacy Needs to be the Problem of Data Engineers Read more »
While ML model development is a challenging process, the management of these models becomes even more complex once they’re in production. Shifting data distributions, upstream pipeline failures, and model predictions impacting the very data set they’re trained on can create …
Video Highlights: ML System Design for Continuous Experimentation Read more »
In this contributed article, Ronen Korman, Founder and Co-CEO at Metrolink.ai, explores the problem of dark data through the prism of known and unknown unknowns, as used in intelligence analysis. Dark data is a known variable with an unknown value, …
In this contributed article, editorial consultant Jelani Harper discusses how selecting the right data strategy that’s applicable to a specific organization is no longer a point of academic interest. Data strategy is the substrate upon which the very notion of …