Systems | Development | Analytics | API | Testing

Top Banking-as-a-Service (BaaS) Providers in 2027

‍ Banking-as-a-Service (BaaS) enables fintech companies to integrate regulated banking capabilities through APIs and licensed banking partners. These capabilities include account management, payment processing, card issuance, and embedded financial services. Selecting reliable banking as a service providers is becoming increasingly important as regulatory scrutiny and operational risks reshape the industry.

The Control Tower Reaches into the Runtime: Announcing the ServiceNow and Kong Partnership

Today ServiceNow launched the **ServiceNow Control Tower Alliance**, and Kong is proud to be a founding member to help enterprises put AI to work safely, at scale. It's a milestone for Kong, and we think it's an important moment for the industry. Here's what the alliance is, why it matters, and why we believe every AI control tower needs a runtime. Enterprise AI has moved from pilots to production faster than most governance programs could keep up.

Agentic Data Stewardship: Qlik Demo

Agentic Data Stewardship keeps a human in charge while agents do the legwork. Agents use data profiling results and validation rules to proactively identify data quality issues and recommend fixes, and your data stewards can decide which fixes to approve or refine each action before they are applied. The result is higher stewardship productivity, more accurate data, and a shorter proactive path from raw data to something people can trust and use, while meeting governance.

AI Needs to Know What Your Data Means, and Whether to Trust It

Over the past year, nearly every data and analytics vendor has made the same argument: AI agents need business context. Give a model enterprise data without telling it how the business defines revenue, margin, or an active customer, and it will give confident answers to the wrong questions. I agree. But definitions alone are not enough.

AI Assisted Development Explainer

AI is transforming software development, but it can be costly and hard to maintain without clear direction. Appian addresses this with spec-driven development: use AI to extract business logic and create visual, collaborative specifications. Then, let agents build and update apps with alignment and control, optionally integrating external agentic tools, so critical applications are built to last.

Your AI Analyst Is Now in Microsoft Teams: Here's How It Works

Your governed data is only useful if people can access it where decisions actually happen. For most teams, that's not a BI tool… it's Microsoft Teams. In this demo, watch how Spotter, ThoughtSpot's AI analyst, works directly inside Teams: in direct messages, group chats, and collaborative channels. Ask a question in natural language, and Spotter pulls from your governed data models to return an answer, right in the thread. Every answer names the model it came from, so anyone can verify the number instead of taking it on faith.

Your AI Analyst Is Now in Slack: Here's How It Works

Most data questions come up in Slack. Most data answers require leaving it. In this demo, watch how Spotter, ThoughtSpot's AI analyst, works directly inside your Slack workspace, in direct messages, threads, and public channels. Ask a question in natural language, and Spotter pulls from your governed data models to return an answer with high-level insights and relevant artifacts (images, PDFs, and CSVs), right where the conversation is already happening.