1. EZO has been around for 15 years. What kind of companies have you been working with, and has it changed since the company was founded? When we founded EZO in 2011, customers wanted to know where their equipment was. As they scaled, the question became bigger: Is it available, secure, maintained, compliant, and worth…
1. When ticketing, payments, add-on sales, and reporting sit in one platform, where do you see the biggest marketing advantage? To a degree, this is what marketers have been hoping for and what a lot of platforms have already promised. One real single source of truth, where the data points that matter for personalization, targeting…
Q1: What can workforce solutions learn from the products that have changed everyday behavior? The most successful products in our lives did not become successful because they were the cheapest, or because users cared about the tech behind them. Netflix, Amazon, Uber, and others changed behavior because they made complex processes feel simple by getting…
Over the past few years, the development of AI has progressed from the technical infrastructure layer to the application layer. We’re now seeing it get to a point where it can support decisions that practitioners in all industries are making every day. Healthcare is a particularly meaningful use case because better information can directly affect…
1. AI systems don’t just rank content; they make recommendations and attribute credibility. From what you’ve seen, what signals is AI using to decide which executives and brands it surfaces and which ones it ignores? This is a fantastic question, because the first thing to understand is that there is no single “AI algorithm.” We…
R started as an open-source alternative to a proprietary statistics language, “S,” and it has grown into one of the most important tools in data science. Long before the current AI boom, R became the environment where statisticians, researchers, economists, and data scientists developed many of the methods, workflows, and validation frameworks that modern AI now builds upon. R may not be a household name, but it sits underneath many of the systems and decisions people rely on every day. Today, it’s used by researchers, economists, healthcare organizations, and AI developers around the world to analyze data, build models, and make sense of complex information. In many ways, it’s become part of the foundation that modern data-driven decision-making, and increasingly AI as we know it, relies on.
1. Many companies are moving to integrate AI tools into daily operations. Do you think security practices are keeping pace with that speed? The data suggests they are not. The Netwrix Data & Identity Security Report found that only 11% of organizations have operationalized AI governance with continuous oversight of identities, permissions, and the data AI systems…
by Ed Macosky, Chief Product and Technology Officer, Boomi Q1: Everyone is investing in AI so why are so many organizations still struggling to see real results? 2026 is the year organizations need to move from AI experimentation to activation at scale. And yet, so many are still stuck in pilot purgatory, not because their…
by Richard James Market Leader, Asia Pacific Japan Middle East & Africa – Consulting & Engineering Services, DXC Technology 1. AI is moving fast from experimentation to real business impact, how are enterprises adapting to this shift? Enterprises are moving from isolated AI experiments to embedding AI into core operations where it delivers measurable value….
