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A Lifecycle Approach for Responsible AI

Dataiku

Managing AI-related risk is commonly cited as a top AI adoption challenge by organizations across a wide variety of industries that are trying to achieve Responsible AI. Responsible AI is no longer just a “nice to have” but a key driver of AI adoption.

Risk 64
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For the planet and people: IBM’s focus on AI ethics in sustainability

IBM Big Data Hub

AI can be a force for good, but it might also lead to environmental and sustainability concerns. IBM is dedicated to the responsible development and deployment of this technology, which can enable our clients to meet their sustainability goals. IBM has taken many steps toward mitigating its AI systems’ environmental impact.

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Your Generative AI LLM Needs a Data Journey: A Comprehensive Guide for Data Engineers

DataKitchen

This approach allows LLMs to pull in relevant data when needed, enriching the model’s responses more accurately and contextually. Retrieval of Relevant Data: The system searches a vector database to find pertinent information to augment the LLM’s response.

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Climate and Sustainability Hackathon—Meet the Judges!

Cloudera

In the first phase, the judges awarded points based on uniqueness and innovation of the idea and the problem it would solve; the approach to how the project would employ machine learning; the articulated benefits to the environment; and how differentiated the solution was from other applications.

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Bringing an AI Product to Market

O'Reilly on Data

The Core Responsibilities of the AI Product Manager. Product Managers are responsible for the successful development, testing, release, and adoption of a product, and for leading the team that implements those milestones. Product managers for AI must satisfy these same responsibilities, tuned for the AI lifecycle.

Marketing 362
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Don’t pause AI development, prioritize ethics instead

IBM Big Data Hub

The introduction of generative AI systems into the public domain exposed people all over the world to new technological possibilities, implications, and even consequences many had yet to consider. We are at a critical inflection point in AI’s development, deployment, and use , and its potential to accelerate human progress.

Risk 105
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Want AI? Here’s how to get your data and infrastructure AI-ready

CIO Business Intelligence

Artificial intelligence (AI) is reshaping our world. CIOs are responsible for much more than IT infrastructure; they must drive the adoption of innovative technology and partner closely with their data scientists and engineers to make AI a reality–all while keeping costs down and being cyber-resilient. That’s a big role.