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Cloudera Observability - Financial Governance

Managing and forecasting cluster resource consumption costs is a complex task. Inefficient resource allocations and usage can lead to budget overruns and unexpected expenses. The challenge lies in gaining comprehensive insights into your resource consumption across different regions, departments, and user groups. It's also crucial for accurate financial planning. Cloudera Observability provides powerful financial governance capabilities to tackle these challenges effectively by providing unparalleled insight and control over your resource consumption and costs.

BUILD 2024 Opening Keynote: Building In The AI Data Cloud

Watch Snowflake CEO Sridhar Ramaswamy and Christian Kleinerman, EVP of Product, on stage to kick off this year's BUILD Conference. They are also joined by and Dash Desai, Lead Developer Advocate, Sri Chintala, Senior Product Manager, and Polita Paulus, Principal Software Engineer, to showcase exciting new product capabilities in action through a series of demos. Join us to see the vision for the AI Data Cloud and how you can leverage it to innovate today.

What is Ask Yellowfin and Code Assistant? Introducing Yellowfin AI Chatbots

Data analytics and business intelligence (BI) are key for driving informed decisions, and today's best solutions make use of artificial intelligence (AI) to help users along the way. AI chatbots, powered by natural language and machine learning (ML), are one such intelligent tool that can quickly analyze large datasets, helping your business users find helpful answers to queries, get recommendations, and even uncover valuable insights.

Introducing Spotter: ThoughtSpot's AI Analyst for everyone

Just like cloud computing changed digital businesses over time, the momentum of AI innovation foreshadows an evolution in business operations and decision-making. Instead of solely focusing on what happened or what might happen, AI will illuminate the actions that lead to better business outcomes. This is the next step in the AI evolution, one that will empower your business to shift from human-initiated, tech-assisted processes, to AI-initiated, human-supervised actions. In this world, AI is the new BI.

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.

Snowflake's Unistore Unifies Transactional and Analytical Data with the General Availability of Hybrid Tables

Today we're thrilled to announce the general availability of Hybrid Tables in all AWS commercial regions. As part of Snowflake Unistore, Hybrid Tables unify both transactional and analytical workloads on a single database to simplify architectures as well as governance and security. Since launching the public preview of Hybrid Tables this year, we have seen adoption across industries from customers such as Siemens, Panther, Mutual of Omaha, PowerSchool, MarketWise and Project Lead The Way.

Unmatched Collaboration for Data and AI Products: What's New from Snowflake

Getting different teams, business units and even companies to work together toward a common goal not only maximizes efficiency, but drives innovation. Effective collaboration on data and AI has never been more closely tied to success. At Snowflake, we’re removing the barriers that prevent productive cooperation while building the connections to make working together easier than ever.

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.