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AI Product Management After Deployment

O'Reilly on Data

The field of AI product management continues to gain momentum. As the AI product management role advances in maturity, more and more information and advice has become available. One area that has received less attention is the role of an AI product manager after the product is deployed.

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Avoiding Toxicity in Generative AI

David Menninger's Analyst Perspectives

As I’ve written recently , artificial intelligence governance is a concern for many enterprises. It can subject an enterprise to fines or other legal consequences, disrupt operations and damage an enterprise’s reputation. Nearly a third (32%) identified performance and quality (e.g., In this Perspective, we’ll look at toxicity.

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Have we reached the end of ‘too expensive’ for enterprise software?

CIO Business Intelligence

Before LLMs and diffusion models, organizations had to invest a significant amount of time, effort, and resources into developing custom machine-learning models to solve difficult problems. An overview. The chatbot wave: A short-term trend Companies are currently focusing on developing chatbots and customized GPTs for various problems.

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Snowflake Offers a Platform for AI as well as Data

David Menninger's Analyst Perspectives

As I explained in our recent Buyers Guide for Data Platforms , the popularization of generative artificial intelligence (GenAI) has had a significant impact on the requirements for data platforms in the last 18 months. Snowflake is a prime example. Snowflake is not alone in adding support for AI workloads to its data platform.

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11 most in-demand gen AI jobs companies are hiring for

CIO Business Intelligence

As this technology becomes more popular, it’s increased the demand for relevant roles to help design, develop, implement, and maintain gen AI technology in the enterprise. Generative AI is quickly changing the landscape of the business world, with rapid adoption rates across nearly every industry.

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How FIS ingests and searches vector data for quick ticket resolution with Amazon OpenSearch Service

AWS Big Data

Have you experienced the frustration of lacking a unified view, hindering your ability to efficiently manage and identify common trending issues within your enterprise? Are you constantly facing challenges when it comes to addressing defects and their impact, causing disruptions in your production cycles?

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Themes and Conferences per Pacoid, Episode 12

Domino Data Lab

There’s been a flurry of tech startups, open source frameworks, enterprise products, etc., Paco Nathan ‘s latest monthly article covers Sci Foo as well as why data science leaders should rethink hiring and training priorities for their data science teams. Introduction. In mid-July I got to attend Sci Foo , held at Google X.