An API is a defined way for one piece of software to request data or actions from another. The Model Context Protocol (MCP) is an open standard that gives AI agents a consistent way to discover and use tools and data sources, so they don't need a custom integration for each one. The short version: MCP doesn't replace APIs. Most MCP servers call APIs behind the scenes. What MCP changes is who the interface is designed for. APIs are designed for developers who read documentation and write code.

With Claude Dashboards entering beta, Anthropic is making it possible for people to ask quick, exploratory questions about their business data and get a dashboard back. You don't need to write SQL or build a visualization. I think that's a good thing. We've spent years trying to make analytics more accessible, and anything that shortens the path from question to answer is progress. I'm increasingly asked what the future of business intelligence looks like when AI can do more of the analysis for us.

Agentic AI security is the set of controls that keep AI agents from accessing, changing, or sharing more than they should. It covers who an agent acts for, which data and tools it can use, which actions need approval, and how its activity is recorded and reviewed. AI agents are moving from pilots into daily operations. They read invoices, update records, answer customers, and trigger workflows across business systems.

LLM observability is the practice of collecting and analyzing data about how a language model application or AI agent behaves, including prompts, responses, tool calls, cost, speed, and errors, so teams can find problems, measure quality, and improve results. AI agents can now plan tasks, call tools, and work across business systems. That makes them powerful, and it also means a single request can involve many steps that no one sees directly.

Build code-free pipelines with Live Query + BigQuery. Use Gemini securely within your data platform to process and analyze unstructured data.

Many invoice problems don't start in accounts payable. They start earlier, when someone buys without a purchase order or a delivery goes unrecorded. AP is simply where those gaps become visible, usually as an invoice that can't be paid. That's why it helps to see the accounts payable process end to end. It's how a business receives, checks, approves, pays, and records the bills it owes suppliers, whether those steps run by hand or through accounts payable automation.

Most roundups of sales dashboard software rank features. The useful ranking question sits one level deeper, in your own stack. In Databox’s Time to Insight: What Are the Biggest Roadblocks to Actionable Data? survey, 75.68% of teams named their CRM as a primary reporting data source, and 73.13% of the same respondents named data spread across multiple sources as their biggest reporting challenge. Both numbers describe the same team.

Stitch Data's row-based pricing model appears affordable at first glance, but many organizations find their actual costs far exceed initial estimates once they scale. With the data integration market projected to grow from $17.58 billion in 2025 to $33.24 billion by 2030 at a 13.6% CAGR, understanding the true cost of your ELT platform is essential for informed budgeting and long-term planning.