AI Development Data Platform Explainability 
Snorkel AI
JANUARY 8, 2025
In todays fast-paced AI landscape, seamless integration between data platforms and AI development tools is critical. At Snorkel, weve partnered with Databricks to create a powerful synergy between their data lakehouse and our Snorkel Flow AI data development platform.
IBM Journey to AI blog
SEPTEMBER 28, 2023
According to a recent IBV study , 64% of surveyed CEOs face pressure to accelerate adoption of generative AI, and 60% lack a consistent, enterprise-wide method for implementing it. It can also help autocomplete code, modify code and explain code snippets in natural language. Users of third-party models in watsonx.ai
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AWS Machine Learning Blog
DECEMBER 5, 2024
Technical standards, such as ISO/IEC 42001, are significant because they provide a common framework for responsible AI development and deployment, fostering trust and interoperability in an increasingly global and AI-driven technological landscape.
IBM Journey to AI blog
SEPTEMBER 7, 2023
But now let’s take a look under the hood and explain a little about how we built them, and how they will help you take AI to the next level in your business. IBM’s Granite foundation models are targeted for business Developed by IBM Research , the Granite models — Granite.13b.instruct 13b.instruct and Granite.13b.chat
Unite.AI
MARCH 6, 2025
Alma can also assist newbies by explaining terms or suggesting next steps in the investing process. Beyond Q&A, Alma can analyze property data on the fly, compute ROI or rental estimates, and even draft outreach messages. or What are some potential exit strategies for this property? and get a quick analysis.
Snorkel AI
JANUARY 8, 2025
In todays fast-paced AI landscape, seamless integration between data platforms and AI development tools is critical. At Snorkel, weve partnered with Databricks to create a powerful synergy between their data lakehouse and our Snorkel Flow AI data development platform.
IBM Journey to AI blog
JANUARY 10, 2024
But even with the myriad benefits of AI, it does have noteworthy disadvantages when compared to traditional programming methods. AI development and deployment can come with data privacy concerns, job displacements and cybersecurity risks, not to mention the massive technical undertaking of ensuring AI systems behave as intended.
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