Systems | Development | Analytics | API | Testing

The world today is no longer defined by manual operations or intuition-based decisions, it’s driven by intelligence, automation, and personalization powered by Artificial Intelligence. From predictive analytics and generative AI to computer vision, NLP, and intelligent automation, AI is transforming how businesses operate, innovate, and connect with customers.

Modern AI teams want governed, low-latency access to operational data without hand-coding ad hoc services. This list analyzes the best API platforms for exposing Microsoft SQL Server to AI and LLM workflows, think RAG pipelines, function calling, and analytics copilots, through secure, performant APIs. It reflects DreamFactory’s perspective on what matters for production AI, while evaluating alternatives fairly.

One of the key tasks of a finance/banking/insurance QA team is to ensure that defects never slip into production. Automation testing plays a critical role in accomplishing that task. However, now that we have AI, the industry is changing. Fast. Just automation testing is not enough. It should now be augmented by the capabilities of AI. When done right, AI-augmented automation testing is a game-changer for QA teams in finance firms. Here's the playbook to help your team achieve exactly just that.

Fivetran moves data. Partnership enhances business value.

If 2024 was the year enterprises adopted Generative AI, 2025 is the year Agentic AI became a reality. In the last six months, the conversations I’m having with engineering leaders have quickly shifted from simple chatbots to AI-enabled IDEs, copilots and autonomous systems that take action. This has to a large part been helped thanks to MCP. To date there have been 10,000+ MCP integrations built by the community, so to say it is a success is an understatement.

2025 will be remembered as the year AI wrote poetry, passed medical exams, and stumbled with spectacular blunders. For every impressive breakthrough, there was an equally impressive facepalm.