# Daniel Faggella
Episode podcast teratas
Diperbarui:
Top podcast episodes featuring daniel faggella.
Building Secure Role Based Access for Agentic AI in Regulated Industries - with Anahita Tafvizi of Snowflake
The shift from guarded, siloed data access to fully agentic, end‑to‑end AI workflows is forcing enterprises to rethink how accuracy, access control, and security must operate when anyone can query sensitive information through natural language. In this episode, Anahita Tafvizi, Chief Data & AI Offi…
How AI Is Transforming Governance and Workflow Automation in the Enterprise - with Tsavo Knott of Pieces
The rapid expansion of AI‑driven knowledge work is exposing a growing tension: teams are moving faster across more surface areas, but their context is fragmented across tools, personal systems, and ad‑hoc workflows. In this episode, Tsavo Knott, CEO and co‑founder at Pieces, examines how the shift …
How Enterprise Leaders Are Building Their Agentic AI Strategy - with Matt Renner of Google Cloud
Legacy enterprises are facing a decisive shift from stalled pilots and fragmented data toward agentic systems that reshape customer experience, operations, and net‑new revenue. Matt Renner, President and Chief Revenue Officer at Google Cloud, examines how leaders can move beyond early AI failures t…
Preparing Enterprise Data for Safe AI Deployment - with Todd Vancil of Securiti AI
A surge in AI adoption is forcing enterprises to expose sensitive data to new systems and access paths, creating security risks that traditional perimeter models can't contain. In this episode, Todd Vancil, Vice President of Veeam's Securiti AI Sales Engineering Team, examines how securing the data…
Agentic CRM for SMB Automation - with Sharif Karmally of Salesforce
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 le…
[AI Futures] Paolo Ardoino of Tether on Merger or Obsolescence - The Future for Humanity (Stewarding the Flame, Episode 3)
![[AI Futures] Paolo Ardoino of Tether on Merger or Obsolescence - The Future for Humanity (Stewarding the Flame, Episode 3)](https://cdn-images-3.listennotes.com/podcasts/the-ai-in-business/ai-futures-paolo-ardoino-of-l6ORd4YnBrv-EZ1HV4_AQb9.300x300.jpg)
The rise of non‑invasive BCIs and the privacy, security, and human‑relevance questions they introduce is becoming a central concern as this technology moves toward practical use. In this episode, Paolo Ardoino, CEO at Tether, examines how lightweight on‑device models, silent‑speech inputs, and anon…
245: He Built the AI Network Big Tech Wants Access To (Followers Don't Matter) with Daniel Faggella
Today I'm talking to Daniel Faggella, who built and sold a $2 million ecommerce business so he could go all-in on artificial intelligence years before the rest of the business world caught up.
Daniel is now the founder of Emerj, an AI research and media company that works with companies like NVIDI…
Closing the Gap Between Commercial Plans and What Happens on the Shelf - with Stephanie Lilley of Reckitt
For consumer goods companies, the gap between the commercial plan agreed at head office and what gets executed on the shelf is one of the costliest disconnects in the business — investment goes out against activity that never happens, and revenue never arrives against activity that does. In this …
Data Governance, Sovereignty, and the Enterprise AI Infrastructure Playbook - with Rodrigo Liang of Sambanova
Enterprises are past asking whether LLMs work; the harder question is how to run them at scale without becoming dependent on a single model, cloud, or chip vendor — and without running out of power or data-center capacity in the process. In this episode, Rodrigo Liang, Co-founder and CEO of SambaNo…
246: What Happens to Capitalism When AI Does All the Work? with Daniel Faggella & Jesse Elder
What happens to entrepreneurs when AI and robots can produce nearly everything we currently get paid to produce?
That's the question I wanted to explore with Daniel Faggella and Jesse Elder.
A huge part of modern life is organized around making money. We go to school to develop skills, build care…
MESIN PENCARI PODCAST
Anda dapat menggunakan situs web kami untuk mencari podcast3,824,042dan episode195,717,596menurut orang, tempat, atau topik.
I have no special talent. I am only passionately curious, and
I listen to podcasts.
‐ Albert "Llamacorn" Einstein
Sunting
Terima kasih telah membantu agar basis data podcast tetap terbaru
