Remove insights ai-ml
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Snowflake Startup Challenge 2024: Announcing the 10 Semi-Finalists

Snowflake

The list of Top 10 semi-finalists is a perfect example: we have use cases for cybersecurity, gen AI, food safety, restaurant chain pricing, quantitative trading analytics, geospatial data, sales pipeline measurement, marketing tech and healthcare. This year’s entries presented an impressively diverse set of use cases.

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Don’t Get Left Behind in the AI Race: Your Easy Starting Point is Here

Cloudera

Today, 44% of organizations are experimenting with generative AI, with 10% having already implemented it in operational settings. Companies must act now in order to stay in the AI Race. We’ve built a comprehensive AI stack designed to empower businesses to develop AI applications faster and more efficiently.

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Bring your Snowpark models to life on ThoughtSpot

ThoughtSpot

ThoughtSpot is taking Snowpark use cases to the next level with generative AI, connecting the dots between ML-powered insights and business action. Build interactive, AI-powered data apps: Product leaders can use ThoughtSpot Everywhere and Snowpark to drive richer, search-driven embedded analytics experiences for all users.

Scala 84
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Building ETL Pipelines With Generative AI

Data Engineering Podcast

Now that AI has reached the level of sophistication seen in the various generative models it is being used to build new ETL workflows. In this episode Jay Mishra shares his experiences and insights building ETL pipelines with the help of generative AI. Is the AI required to operate within the pipeline in perpetuity?

Building 162
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Using Chakra execution traces for benchmarking and network performance optimization

Engineering at Meta

Meta presents Chakra execution traces , an open graph-based representation of AI/ML workload execution, laying the foundation for benchmarking and network performance optimization. The limitations of traditional AI benchmarking methodology Traditionally, benchmarking AI systems has largely relied on running full ML workloads.

Metadata 101
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Startup Spotlight: Tesorio Helps Finance Teams Tackle Cash Flow Challenges

Snowflake

Tesorio Co-Founder and CTO Fabio Fleitas thinks so, and his startup’s AI/ML-driven platform aims to give finance teams better control over their cash flow so they can have greater impact on their organizations’ success. One of the most exciting aspects of Tesorio is undeniably our cutting-edge machine learning (ML) capabilities.

Finance 90
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Exploring the Potential of Artificial Intelligence & Machine Learning for Improving Program Management

U-Next

Artificial Intelligence (AI) and machine learning (ML) are rapidly becoming essential tools for businesses and organizations of all types. Greater Flexibility: AI and ML can help teams adapt to changing conditions and respond to new challenges, making them more agile and resilient.