AI Assistant With Cloudera Data Visualization
Learn how Cloudera Data Visualization uses large language models and retrieval augmented generation to enable faster exploration and analysis of data using natural language.
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Introducing ThoughtSpot Spotter
ThoughtSpot Spotter is your AI Analyst delivering conversational insights, tailored to your industry, with enterprise-grade security.
Introducing Cloudera Fine Tuning Studio for Training, Evaluating, and Deploying LLMs with Cloudera AI
Large Language Models (LLMs) will be at the core of many groundbreaking AI solutions for enterprise organizations. Here are just a few examples of the benefits of using LLMs in the enterprise for both internal and external use cases: Optimize Costs. LLMs deployed as customer-facing chatbots can respond to frequently asked questions and simple queries.
Hitachi Vantara Expands Hybrid Cloud Storage Platform with Object Storage, All-QLC Flash and Advancing Cloud Integration
Virtual Storage Platform One integrates object storage with block and file, expands dense capacity with QLC flash, and extends software-defined cloud integration to provide reduced cost, improved management of unstructured data, and unmatched energy efficiency.
Navigate the New Era of Data Management in Mid-Sized Enterprises
In the modern digital landscape, data grows at an astonishing rate. Mid-sized enterprises struggle to manage its volume and velocity, let alone its value. Today’s complex data environments must span hybrid and multicloud setups. And as transformative technologies like generative AI (GenAI) matter more to business operations, they must manage skyrocketing demand for sophisticated, flexible and scalable data solutions.
Data Platform Economics: Measuring and Improving Cost-per-App in Databricks
80% of data management experts struggle to forecast data-related cloud costs with precision (Forrester). The root causes? A critical shortage of granular visibility needed for accurate cost allocation, fragmented data siloed away from those who need it most, and a notable absence of AI-driven tools and automated processes capable of predicting future expenditures. Learn how to get granular costs with ease using Unravel Data. Join this Weekly Walkthrough series, FinOps Metrics that Matter, to understand the critical benefits of drilling down into your costs at the most detailed levels.
Getting started with NL2SQL (natural language to SQL) with Gemini and BigQuery
Learn about the challenges of natural language to SQL (NL2SQL), and how to implement it on Google Cloud with BigQuery and Gemini.
How to simplify building RAG pipelines in BigQuery with Document AI Layout Parser
Learn how BigQuery and Document AI Layout Parser can help with document preprocessing when building retrieval-augmented generation (RAG) pipelines.
Snow Report: What's Happening At Snowflake In November
November's edition of Snow Report features information about the upcoming BUILD conference, the new Cortex Search capability and new Google Analytics connector, the application process for next year's Startup Challenge, and more.
KPIs for Cost Management: Evaluating Costs in Snowflake
Precise cost forecasting and management are essential, yet 80% of data management experts struggle (Forrester). The challenges stem from a lack of granular visibility, siloed data, and the absence of AI-driven predictive tools. Discover your new set of metrics to understand and optimize your spending with Unravel Data. Join this Weekly Walkthrough series, FinOps Metrics that Matter, to understand these core metrics to speak the language of both finance and data engineering, and bridge the gap between technical and business stakeholders.