Nathaniel Whittemore

speaker
51,694 appearances 202 recordings 3 series first heard Oct 2025 last heard 2d ago

Nathaniel Whittemore’s voice in public audio — every appearance, attributed to the second.

Trend

recordings per month · last 12 months
31 · Jun OctJan 26AprJulnow

Recordings per month over the last 12 months — 202 in all, peaking in Jun 2026 with 31.

Appearances

newest first · ▶ plays the moment
Called COA, the model is a fine-tune of Nvidia's Nimotron and is designed to handle sales management within the CRM. podcast-host
The announcement reinforces the role that open source has to play in the enterprise by enabling podcast-host
This sort of narrow vertical model. podcast-host
Secondly, Salesforce unveiled a new initiative called AIFOS. podcast-host
This will be the umbrella term for Salesforce's connectors that will allow third-party agents to access Salesforce data. podcast-host
The release reinforces Salesforce commitment to moving towards headless software in a platform agnostic way, allowing any agent to become the interface. podcast-host
Now obviously these are big conversations that are important and are going to continue, but for now that is where we will close the headlines. podcast-host
Next up, the main episode. podcast-host
A new study from KPMG in the University of Texas at Austin found that when people work with AI, similar skills don't guarantee similar outcomes. podcast-host
Researchers studied more than 500 early career professionals and found that the best performers consistently amplify the value of AI by guiding, evaluating, and refining its outputs. podcast-host
These top performers, called AI amplifiers, weren't defined by what they knew alone, but by how they worked with AI. podcast-host
Learn more about what separates AI amplifiers from everyone else at kpmg.com/slash US slash AI amplifiers. podcast-host
Here's why most legacy modernization projects fail. podcast-host
The AI doing the work can't understand code bases at scale. podcast-host
It sees a small slice of context, examines syntax, and misses years of decisions distributed across the global application ecosystem. podcast-host
Blitzzy solves this the way it solves everything. podcast-host
Grounded in your code before any migration begins, Blitzy's agents reverse-engineer the entire legacy system into a persistent knowledge graph. podcast-host
Every dependency, every constraint, every piece of tribal knowledge that used to live podcast-host
In one engineer's head. podcast-host
From that understanding, Blitzy autonomously executes language migrations, framework upgrades, and monolith to microservices transformations, all validated end-to-end. podcast-host
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