Monthly Archives: December 2021

How to Develop a Long-Term AIOps Strategy

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 allow IT teams to add business value, spend more time innovating and less time fixing, and improve the overall customer experience.

Teams and Clubs Measure Everything: How Can They Consolidate Their Data?

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, injuries sustained, goals scored, assists made, passes blocked and much more. Strong data collection is important, but what can be even more crucial is consolidating all of that information to make it usable.

Decentralized Storage Removes the Headache from Data Backups

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 Backblaze.

Rethinking the Data Analytics Paradigm to Unlock Real Data Value

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 major leap forward. We can and must do better than what we’re accepting today as “normal.”

insideBIGDATA Latest News – 12/28/2021

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.

Looking Beyond the Incumbent: Setting New Goals for Machine Learning & Artificial Intelligence for 2022

In this contributed article, Patrice Simard, CEO and Co-founder of, 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 is to offer a framework that empowers smaller stakeholders, alongside major players seeking to innovate. 

Why Privacy Needs to be the Problem of Data Engineers

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 the data.

Video Highlights: ML System Design for Continuous Experimentation

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 thorny feedback loops between development and production.

Dark Data is Only the Tip of the Iceberg

In this contributed article, Ronen Korman, Founder and Co-CEO at, 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, as the exact benefits of its exploration are often unclear. True business value may in fact lie in the unknown unknowns, the data that the company has access to, but is not collecting at all due to a lack of a broader strategic outlook.

2022 Trends in Data Strategy: A New Archetype

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 data management, and all its dimensions, depends. Developments in this facet of the data sphere directly impact all others, from the rudiments of data governance to advanced analytics spurring time-sensitive action.