Click to learn more about co-author Prashanth Southekal. Click to learn more about co-author Harsh Vardhan. If you look to separate the hype in the market from the reality faced by organizations in operationalizing analytics — you’ll notice a gap. In 2019, Gartner reported that over 80 percent of analytics initiatives did not deliver business […]
Is Digital Transformation Too Disruptive to Your Organization?
Click to learn more about author Kyle McNabb. The COVID-19 pandemic forced many companies to evaluate their use of technology and rapidly transform to meet the demands of a new remote work environment, exposing a gap between companies that had invested in digital transformation and those that had not. At the end of 2019, Accenture […]
Data Security When Working Remotely
Click to learn more about author Daniel Santry. The global pandemic has changed the way some businesses operate almost beyond recognition. Many company headquarters have been all but empty throughout the majority of 2020, and, although the situation is slowly changing in many parts of the world, remote working has firmly established itself. Modern communication […]
Lessons Information Technology Can Learn from the Patent Wars
Click to learn more about author Dr. Roya Ghafele. The decision of the Supreme Court of England and Wales on August 26 2020 in the matter of Huawei and ZTE vs Unwired Planet and Conversant, respectively, can have significant effects on the ICT sector and beyond. The Court’s take in this matter may set a […]
What Are GPUs and Why Do Data Scientists Love Them?
Click to learn more about author Eva Murray. Move over, CPUs. The GPUs have arrived in modern enterprises, and data scientists are eager to use them for their modeling and deep learning applications. Why is this happening, and what are the advantages GPUs bring for Data Science applications? Read on and find out. What Are GPUs? GPUs, or graphics […]
Don’t Make These Six Big Data Mistakes
Click to learn more about author Evelyn Johnson. Why do big data projects fail? They do; that’s for sure. Gartner estimated that 60 percent of big data projects fail to achieve their desired objectives. A year later, they revised this figure to 85 percent, admitting they were “too conservative” with the original estimate. So, going […]
Seven Major Benefits of Using Log-Based CDC for Data Replication: A Use Case
Click here to learn more about Joe deBuzna. In this blog, we will talk about what a global water company achieved with real-time data replication. The world’s water resources are stretched beyond all previous limits, and the toughest industrial water process challenges still lay ahead. One global water technologies and solutions company (which I’ll refer […]
Even if You’re Not (Yet) Multi-Cloud, You Should Use Cloud-Agnostic Tools
Click to learn more about author Jay Chapel. There’s a simple fact that’s true for public cloud users today: You need to use cloud-agnostic tools. Yes — even if you only use one public cloud. Why? This recommendation comes down to a few drivers that we see time and time again. You Won’t Always Use […]
Open Source, Cloud, and Data: How to Plan Ahead
Click to learn more about author Matt Yonkovit. For most Data Management projects today, open source will be included in some form or other. From the databases that store the data to the management tools that manage and protect that data, or the analytics projects used to interrogate or display that data, open source plays […]
Expand Business Intelligence Beyond the Boardroom
Click to learn more about author Daniel Jebaraj. For decades, business intelligence (BI) has been limited to power users and senior decision-makers. Business analysts have prepared dashboards and reports and delivered them to the C-suite for high-level strategic discussions. Outside of that rarified atmosphere, business has been conducted without access to real-time data and BI. […]