Systems | Development | Analytics | API | Testing

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.

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.

The age of agentic AI introduces unprecedented risks. In the rapidly evolving landscape of artificial intelligence, agentic AI is emerging as a transformative force, capable of autonomous decision-making, learning, and interaction. These sophisticated AI systems are poised to revolutionize industries and daily life. Conversely, these same capabilities can be exploited by attackers to launch highly effective and scalable cyberattacks. The advancement of AI brings a critical imperative.

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.