CRM is shifting from a static repository to the core system that supplies the real‑time customer context required for dependable AI‑driven work.
In this episode, Sharif Karmally, VP of SMB Product Marketing at Salesforce, explores with host Daniel Faggella how unified CRM data supports automated lead handling, accurate record updates, and predictive sales and service actions....
Govern natively, federate outward, and what breaks across trust domains By now the agent has its own identity and you can carry that identity through a chain of calls. The next question is where the rules live. Who decides what an agent is allowed to do, and where does that decision get made? Two answers,...
The post Govern natively, federate outward, and what breaks across trust...
Large language models often receive more information than they need. A prompt may include long instructions, retrieved documents, chat history, examples, and tool descriptions. This increases token usage, cost, and response time. It can also make important details harder for the model to identify. Prompt compression reduces the prompt while keeping the key meaning, instructions, […]
The...
The agentic transformation isn’t coming. It has already begun.
Companies are deploying thousands — and sometimes tens of thousands — of AI agents. Enterprise software giants are watching their old economic moats erode. Capital is moving, productivity is being redefined, and human labor is being repriced in real time.
In this Fully Connected episode, Daniel and Chris explore the...
Sarah Molina
Evan Slotnick
Product Management Director, Tableau
Noel Carter
Senior Product Marketing Manager, Tableau
Analytics works best when knowledge is accessible: delivered to the people who need it, exactly when they need it, and...
Most enterprise AI pilots don't stall because the underlying models fail — they stall once real production stakes, fragmented systems, and unclear ownership enter the picture. In this episode, Larissa Schneider, Co-Founder & COO at Unframe, unpacks why AI initiatives lose momentum on the way to production and how modular, reusable architecture changes that trajectory. The conversation...
On July 21, 2026, while everyone was still waiting on the much-delayed Gemini 3.5 Pro, Google slipped out a mid-cycle update to its speed tier: Gemini 3.6 Flash. No new frontier claims, no dramatic reveal. Instead, the model does roughly the same thinking as 3.5 Flash while spending fewer tokens, fewer tool calls, and fewer […]
The post Gemini 3.6 Flash Is Here: The Efficiency Release...
This scene is playing out across engineering teams everywhere. Someone wraps a few LangChain calls inside a loop, adds a couple of tools, and proudly declares, “We’ve built an AI agent.” The demo looks great. Everyone is impressed. Then it goes to production. The first unexpected input arrives. The workflow breaks. Logs fill up. Alerts start firing. […]
The post Agentic AI vs AI...
Most AI content assumes your data is in the cloud. But for a meaningful segment of enterprises, cloud-only AI tools block them at the pass. For regulated industries like manufacturing and healthcare, data residency requirements, compliance mandates, security policies, and simple operational reality mean sensitive data must remain on-premises. Regulated Teams Need Flexibility These teams...
Credentials should never reach the model An engineer wires an agent to a payments API. The agent needs the API token, so the token goes where tokens usually go: an environment variable, a config file, or straight into the prompt. The agent reads it and makes the call. It works. It also just placed a...
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