Remove Adopt Remove Model Remove Product
article thumbnail

Cisco’s chief product officer explains the company’s transformation around AI

Fast Company Tech

Cisco’s also a software business, known for its cybersecurity products and familiar applications like the conferencing and communications platform Webex. The second is they feel like there are 1,000 ideas within their company, but adoption slows down because safety and security become big concerns. We are investors in Scale.AI

Cisco 78
article thumbnail

How to talk about AI in a job interview when you’re not a techie

Fast Company Tech

fact, 88% of C-suite leaders say speeding up AI adoption is important over the next year, according to LinkedIn’s 2025 Work Change Report. For example, you could talk about ways youve used AI to be more productive and to free yourself up to perform the highest-value parts of your work.

Interview 125
professionals

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Agentic AI Leaders to Showcase Latest Advancements at NVIDIA GTC

NVIDIA AI Blog

How to Onboard Your Team of AI Agents to Transform Your Enterprise : Adel El Hallak, senior director of product management at NVIDIA, will share how NVIDIA AI Blueprints building blocks for agentic AI empower enterprises to easily compose and deploy teams of agents to achieve dynamic data retrieval and real-time interactivity.

San Jose 126
article thumbnail

Here’s where MLOps is accelerating enterprise AI adoption

TechCrunch

Ashish Kakran , principal at Thomvest Ventures , is a product manager/engineer turned investor who enjoys supporting founders with a balance of technical know-how, customer insights, empathy with challenges and market knowledge. Creating a model and enabling teams to benefit from it is an incredibly complex endeavor. Ashish Kakran.

San Jose 137
article thumbnail

The most innovative companies in applied AI for 2025

Fast Company Tech

Its been gradual, but generative AI models and the apps they power have begun to measurably deliver returns for businesses. Organizations across many industries believe their employees are more productive and efficient with AI tools such as chatbots and coding assistants at their side.

Companies 108
article thumbnail

Explaining Tokens — the Language and Currency of AI

NVIDIA AI Blog

AI models process tokens to learn the relationships between them and unlock capabilities including prediction, generation and reasoning. The faster tokens can be processed, the faster models can learn and respond. During training, the model would learn the distinction between these two meanings and assign them different token numbers.

article thumbnail

Minding Your Models

DataRobot

Using AI-based models increases your organization’s revenue, improves operational efficiency, and enhances client relationships. You need to know where your deployed models are, what they do, the data they use, the results they produce, and who relies upon their results. That requires a good model governance framework.

Mind 105