A faulty database led to Salesforce experiencing its biggest outages ever on Friday, when it was forced to shut down large parts of its infrastructure.
Microsoft London Store Opening in July 2019 — Why That Makes Perfect Sense
Microsoft London Store is scheduled to open in Oxford Circus in July 2019. Here’s why that’s a strategic brand-focused move.
Dell’s Tech Results are Encouraging — My Take on Q1 Earnings
Dell’s Tech results are encouraging. Growth across the portfolio and integration of acquisitions, especially VMware, show the company’s bets are paying off.
Amazon Bringing One-Day Shipping to Prime Shows the Real Battle for Customers
Customer loyalty has never been more important. Amazon one-day shipping is just the latest announcement that shows how the battle for customers is heating up.
CIOs and CMOs: Achieving Convergence of Infrastructure and Analytics
CIOs and CMOs need to work together to build the right infrastructure to support their analytics needs. This article explores the CIO/CMO convergence that needs to happen.
Robotic Process Automation Gaining Traction
Robotic process automation lies on the simpler side of AI, but it plays an increasingly important role in helping companies prepare themselves for greater digital transformation.
Could Blockchain Solve Our Personal Privacy Issue?
Could blockchain be the answer to the privacy crisis we are facing? Let’s take a look at how personal privacy protection with blockchain could be the solution.
4 Reasons to Hire Data Generalists for Your Data Teams
While hiring data scientists that specialize in certain aspects of data management might seem like the best route, hiring a data generalist could actually be more beneficial.
What is Privacy in the Age of Digital Transformation
What does privacy mean in the age of digital transformation? Do companies care, will they ever care? A look into the state of privacy and how it may be a differentiator in the future.
IT Spending: Understanding Your Data Analytics Budget
It should come as no surprise that analytics is proving more complicated for most companies. Namely: how to divvy up the data analytics budget.