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.

How to Measure the Impact of a Product Launch With AI and Your Notion Specs

To measure the impact of a product launch, grade it against the target written in its spec. Every launch spec names a metric, a target and a time window. Once the window closes, the launch either hit that target or missed it. Before then, it’s too early to call. The hard part is getting the target and the result into the same view, because the target lives in Notion and the result lives on your dashboard.

Why did our pipeline drop? How to find the cause in your HubSpot deal notes with AI

Open pipeline drops when deals leave it (closed won, closed lost or pushed out of the period) or when fewer new deals come in. Your CRM dashboard shows which of those happened. The reason behind it sits in HubSpot, in the notes, emails and call logs on the deals themselves. To find it in one question, ask an AI analyst that can read both. With the HubSpot MCP connector, Genie, the Databox AI Analyst, traces the drop to the deals behind it and tells you what the reps wrote about them.

MCP vs. API: What's the difference for AI analysis?

Businesses have long used APIs to connect their software applications and exchange data. These connections power many of the tools companies rely on for reporting, allowing them to bring information from different systems into one place and keep their reports up to date. Now, AI assistants like ChatGPT and Claude can connect to those same business applications through MCP (Model Context Protocol), making it easier to access information and perform tasks using natural language.

Spotter Is Now Available in Slack and Microsoft Teams

Let’s say a regional sales director posts a soft renewal number in the channel. A teammate asks the question that decides the plan: trend, or seasonal blip? Nobody in the thread can answer, so the thread does what threads do. It moves on, and the plan gets anchored to the most confident opinion in the room. The maddening part: the data existed. It was modeled, governed, correct, sitting in the warehouse the whole time. It's not a data problem; the answer was there.

New Forrester study: Why modernizing data streaming is about more than cost savings

A new Forrester Total Economic Impact (TEI) study commissioned by Confluent, an IBM company and data streaming platform, found that a representative composite organization achieved 137% ROI, USD 2.1 million in net present value and a 10-month payback period. Those are meaningful results. The ROI is notable. What's more interesting is where the value came from. Modernization is often framed as an infrastructure problem. Leaders compare platform costs, migration and operating costs.