Ever been amazed when your bank spots fraud in real time, or your favorite app seems to know exactly what you want next? That’s AI inference in action — and it’s changing the way businesses operate every day. AI inference is the process of trained AI or machine learning models making predictions, classifying new inputs, and generating outputs from unseen data or patterns. It’s the moment AI gets real — when models leave the lab and start making a difference in the real world.
Artificial Intelligence (AI) is enabling more of our teams to consume more data, and AI agents increasingly need access to live systems in real-time. Especially during quarter end, which is also the busiest time for transactions.
I was fortunate to be part of a strong Silk contingent in Vegas at “Google Cloud Next 2025”. Being there, I had the opportunity to witness first-hand the impressive rate of change in IT being driven be the rapid adoption of AI across the industry. Silk was proud to see both our products and our customers featuring in a variety of sessions. Two of our joint customers Wayfair and JB Hunt were both highlighted for the innovation they are delivering with AI. The conference was very well attended, every seat in the Michlob Ultra Arena was taken for the keynote and the Allegiant Stadium was packed for the Next at Night concert. The energy and enthusiasm of so many attendees was truly infectious.
As the vibrant energy of Microsoft Ignite 2024 filled the halls of Chicago’s McCormick Place, the excitement about the future of AI was palpable. SQL Server 2025 previews, the explosion of Copilot AI agents, and groundbreaking advancements in Microsoft Fabric dominated conversations. For the Silk team, the highlight came not just from the sessions but from hosting our customers at an exclusive dinner during the conference. Amid the timeless charm of the landmark Chicago Firehouse, with its original 1905 design and impeccable service, we indulged in delicious food and spirited discussions. One theme stood out: AI workloads are transforming the way enterprises think about their infrastructure, and Silk is at the forefront of enabling this transformation.
As your business explores cloud-based solutions for database management, it’s important to evaluate the limitations and implications of different cloud Platform as a Service (PaaS) offerings. While these solutions promise convenience and scalability, they often come with constraints that can impact your control, performance, and overall efficiency. If these constraints are too significant, you might find a cloud Database as a Service (DBaaS) option more desirable. Here are key considerations to keep in mind when evaluating cloud PaaS options:
What do we all want?