Systems | Development | Analytics | API | Testing

Streamlining Generative AI Deployment with New Accelerators

The journey from a great idea for a Generative AI use case to deploying it in a production environment often resembles navigating a maze. Every turn presents new challenges—whether it’s technical hurdles, security concerns, or shifting priorities—that can stall progress or even force you to start over.

Data AI Summit | Expanding Log Analytics and Threat Hunting Natively in Databricks

ChaosSearch + Databricks Deliver on the best of Databricks (open Spark-based data lakehouse) and ELK (efficient search, flexible live ingestion, API/UI) via ChaosSearch on Databricks. Log analytics for observability / security with unlimited retention at a fraction of the cost now with Databricks’ AI/ML. Watch as ChaosSearch CEO, Ed Walsh, shares the power of ChaosSearch in your Databricks environment.

Want to Unlock Gen AI's Promise in Retail? Start with the Data Foundation.

There’s no question which technology everyone’s talking about in retail. Generative AI continues to promote incredible levels of interest with its promise of next-level productivity and new kinds of employee and customer experience. It’s all happening at light speed. When ChatGPT burst onto the scene, it gained hundreds of millions of users in a matter of months.

Gen AI for Marketing - From Hype to Implementation - MLOps Live #32 with McKinsey and Iguazio

In this MLOps Live session we were joined by Eli Stein, Partner and Modern Marketing Capabilities Leader at McKinsey, to delve into how data scientists can leverage generative AI to support the company’s marketing strategy. We showcased a live demo of a customer-facing AI agent developed for a jewelry retailer, which can be used as a marketing tool to offer personalized product recommendations and purchasing information and support. Following the demo, we held an interactive discussion and Q&A session. Enjoy!

Generative AI Testing: Essential Strategies and Insights for System Validation

STARWEST 2024 was not just a conference; it was a vibrant hub of exploring knowledge and exploration into the transformative realm of generative AI and software testing. At this event, we started day 2 with an energetic workshop of "Evaluating and Testing Generative AI: Insights and Strategies", led by Jason Arbon, CEO of Checkie.AI, which covered the complex challenges of testing AI systems like ChatGPT and LLAMA.

Special Episode: How to make generative AI a reality | Capgemini

George Fraser, CEO of Fivetran, Bob Muglia, former CEO of Snowflake, and Steve Jones, EVP of Capgemini discuss the challenges and solutions to creating mature, production-ready generative AI models. It’s not just about algorithms or data — success lies in effective data management.