Did you miss our webinar series all about how to get started with #AI inference? If so, catch it on-demand now! Register here > https://
nvda.ws/4amPwmI
#Inference #aiinference
ENTERPRISE AI
-

Getting Started with AI Inference: On-Demand Webinar Series
By
–
-
OpenAI Launches Log Probabilities for Chat Completions API
By
–
Awesome news for @OpenAIDevs
: Log probs are now available with chat completions! This unlocks a ton of use cases which people have been asking for (and we announced we would support at dev day). Happy building -

AI Adoption Across Organizations: Where Are We Now?
By
–
One third of organizations were already integrating AI across functions like marketing, sales, product development, and service operations. *9 months ago* I wonder what the figures are now? https://
mckinsey.com/capabilities/q
uantumblack/our-insights/the-state-of-ai-in-2023-generative-ais-breakout-year
… -
OpenAI opportunity to build the future for developers
By
–
This is an incredible chance to work with some amazing folks at OpenAI (like Peter) and build the future for developers
-
AI Analytics Transform Government Healthcare Services 2024
By
–
How will AI and analytics help government and health entities deliver better services and programs that improve people’s lives in 2024? Check out SAS' predictions for the new year. #AIpredictions #SASpredictionsAI #SAStrendsAI http://
2.sas.com/6016RumKE -
5G Technology: Social Impact and Sustainability Integration
By
–
Me complace mucho cómo resonó esto: me encanta resaltar el impacto social de la tecnología y un gran ejemplo aquí con 5G e incorporar consideraciones de sostenibilidad desde la red hacia arriba. ¡Muchas gracias por compartir! @ATTBusiness #ESG #SDGs #5G #Sustainability
-
OpenAI Launches Dedicated Developer Account for Community
By
–
Great news for @OpenAI devs: Our new account is live, say hello to @OpenAIDevs I’m so excited we have a dedicated place to talk about all the things developers care about!
-
Data Lineage Governance Becomes Critical for Enterprise AI
By
–
Traditional data engineering paradigms are increasingly finding their way into AI initiatives internally—the latest being data lineage as a subset of governance requirements. That’s posing a new challenge for companies.
-

AI’s Cross-Disciplinary Challenge: From Data Engineers to MLEs
By
–
The challenge, though, is AI is increasingly cross-disciplinary and borrows skill sets from a lot of different roles. Lineage was traditionally a DE problem that’s now getting extended to MLEs/etc. and part is because the order for AI comes from on high.
-

Data Lineage in AI Models: Production Governance Requirements
By
–
Lineage basically means tracing data that went into a model/prompt, another part of a system coming together as we start to move into a prod phase. And AI is just a story about data moving around. It isn’t just about making sure an app breaks or whiffs governance requirements.