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snowflake

The AI Tipping Point: What Financial Leaders Need to Know for 2025

Dec 3, 2024 By Rinesh Patel In Snowflake
AI is proving that it’s here to stay. While 2023 brought panic and wonder, and 2024 saw widespread experimentation, 2025 will be the year that financial services enterprises get serious about AI's applications. But it’s complicated: AI proofs of concept are graduating from the sandbox to production, just as some of AI’s biggest cheerleaders are turning a bit dour.
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confluent

Confluent Introduces Enterprise Data Streaming to MongoDB's AI Applications Program (MAAP)

Dec 2, 2024 By Pascal Vantrepote In Confluent
Today, Confluent, the data streaming pioneer, is excited to announce its entrance into MongoDB’s new AI Applications Program (MAAP). MAAP is designed to help organizations rapidly build and deploy modern generative AI (GenAI) applications at enterprise scale.
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ClearML

Resource Allocation Policy Management - A Practical Overview

Dec 2, 2024 By ClearML In ClearML
As organizations evolve – onboarding new team members, expanding use cases, and broadening the scope of model development, their compute infrastructure grows increasingly complex. What often begins as a single cloud account using available credits can quickly expand into a hybrid mix of on-prem and cloud resources that come with different associated costs and are tailored to diverse workloads.
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keploy

How Ai Code Is Transforming The Future Of Software Development

Nov 29, 2024 By Swapnoneel Saha In Keploy
The world of software development is undergoing a huge transformation, due to the emergence of artificial intelligence (AI). AI-powered tools and methodologies are reshaping how we write, test, and deploy code, which is making our programming faster, more efficient, and more accessible. In this blog, we’ll explore the concept of code with AI, its applications, benefits, and its potential to redefine the future of technology. So, let’s dive in!
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xray

AI's contribution to Shift-Left Testing: improving early-stage testing

Nov 28, 2024 By Mariana Santos In Xray
AI is becoming a part of our everyday lives, and in the software testing industry, it is starting to show its impact as well. Traditional testing methods can often happen at a later stage of the development life cycle, which may present challenges for meeting the demands of modern software delivery. This is where shift-left testing comes to shine. This testing methodology has become one of the most used strategies for delivering high-quality software without missing bug findings along the way.
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Building Reliable AI models on Snowflake

Nov 26, 2024 By Hevo In Hevo
Step into the future of AI with Snowflake and Hevo—where innovation meets reliability. Join us for an exclusive webinar to explore how Snowflake's cloud-native platform is empowering organizations to build reliable, scalable AI models. With cutting-edge advancements like Cortex AI and RAG, Snowflake sets the foundation for AI-driven transformations across industries. Discover how to harness these powerful capabilities to develop of Snowflake that delivers faster, more accurate results for your data-driven projects.
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thoughtspot

Everything you need to know about AI Agents in analytics

Nov 25, 2024 By Sumeet Arora In ThoughtSpot
A few years ago, I received a call from the Tesla service team advising me not to come for my car service—a savings of $600 and my time. Imagine my surprise. In over two decades of car ownership, no auto service had ever called me and asked me not to show up. The Tesla representative explained that the data from my car prescribed an action, or in this case, an inaction.
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snowflake

Share Snowflake Cortex AI fine-tuned LLMs from Meta and Mistral AI

Nov 25, 2024 By Sanjay Srivastava In Snowflake
The rise of generative AI models are spurring organizations to incorporate AI and large language models (LLMs) into their business strategy. After all, these models open up new opportunities to extract greater value from a company’s data and IP and make it accessible to a wider audience across the organization. One key to successfully leveraging gen AI models is the ability to share data.
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