Generative AI is unlocking new ways to drive innovation, improve productivity and derive more value from data. For organizations to fully capitalize on this potential, it’s critical that everyone — not just those with AI expertise — is able to access and use generative AI.

At Cloudera, we continuously strive to empower organizations to unlock the full potential of their data, catalyzing innovation and driving actionable insights. And so we are thrilled to introduce our latest applied ML prototype (AMP)—a large language model (LLM) chatbot customized with website data using Meta’s Llama2 LLM and Pinecone’s vector database.

The Managed Detection & Response (MDR) industry finds itself in a new era with unprecedented challenges from platform giants and the migration of the attack surface to the cloud, with innovation becoming a requirement for survival. Companies built to provide clients with 24×7 “eyes on glass” now find themselves at the intersection of rapid technological advancements and evolving threat landscapes.

At Next ‘23, Exabeam, Dun & Bradstreet, Optimizely and LiveRamp shared how they use BigQuery and Google Data and AI Cloud for data monetization.

ZoomInfo and Google Cloud recently expanded their partnership to offer ZoomInfo’s Data Cubes for Google Cloud customers via Google Analytics Hub.

Enterprises see embracing AI as a strategic imperative that will enable them to stay relevant in increasingly competitive markets. However, it remains difficult to quickly build these capabilities given the challenges with finding readily available talent and resources to get started rapidly on the AI journey.

Assisted Insights is a powerful tool built-in the Yellowfin embedded analytics suite that provides organizations with automated and intuitive insights derived from their data. Using automation and machine learning capabilities, Yellowfin Assisted Insights helps users to uncover hidden patterns, trends, and correlations in their data, enabling them to make better informed and data-driven business decisions.

Cloud transformation is ranked as the cornerstone of innovation and digitalization. The legacy IT infrastructure to run the business operations—mainly data centers—has a deadline to shift to cloud-based services. Agility, innovation, and time-to-value are the key differentiators cloud service providers (CSP) claim to help organizations speed up digital transformation projects and business objectives.

We are excited to announce the general availability of Snowflake Event Tables for logging and tracing, an essential feature to boost application observability and supportability for Snowflake developers. In our conversations with developers over the last year, we’ve heard that monitoring and observability are paramount to effectively develop and monitor applications. But previously, developers didn’t have a centralized, straightforward way to capture application logs and traces.