IBM Journey to AI blog

FEBRUARY 23, 2024

Machine learning (ML) and deep learning (DL) form the foundation of conversational AI development. Ethical and privacy considerations : As conversational AI becomes more advanced and widespread, ethical and privacy concerns will become more prominent. Ensuring fairness and inclusivity in conversational AI is crucial.

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IBM Journey to AI blog

APRIL 18, 2024

The skills gap in gen AI development is a significant hurdle. Startups offering tools that simplify in-house gen AI development will likely see faster adoption due to the difficulty of acquiring the right talent within enterprises.

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NVIDIA

SEPTEMBER 25, 2023

In the wake of ChatGPT, every company is trying to figure out its AI strategy, work that quickly raises the question: What about security? Security now needs to cover the AI development lifecycle. Some may feel overwhelmed at the prospect of securing new technology.

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Neural Network AI AI Machine Learning 143

AI Impacts

JULY 20, 2023

I collected my favorite public pieces of research on AI strategy, governance, and forecasting from 2023 so far. May) Current approaches to building general-purpose AI systems tend to produce systems with both beneficial and harmful capabilities. We explain why model evaluation is critical for addressing extreme risks.

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Snorkel AI

APRIL 20, 2023

According to another survey seen and reported on by Business Insider, 75% of respondents working at banks with more than $100 billion in assets were currently implementing AI strategies. Instead, leading, AI-first organizations are adopting a data-centric approach to AI development.

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Snorkel AI

APRIL 20, 2023

According to another survey seen and reported on by Business Insider, 75% of respondents working at banks with more than $100 billion in assets were currently implementing AI strategies. Instead, leading, AI-first organizations are adopting a data-centric approach to AI development.

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ChatGPT Conversational AI Data Scientist AI 52

AWS Machine Learning Blog

MAY 9, 2024

Additionally, pay special attention to the changing nature of the risk and cost that is associated with the development as well as the scaling of AI. To provide ethical integrity , an AI/ML CoE helps integrate robust guidelines and safeguards across the AI/ML lifecycle in collaboration with stakeholders.

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DataRobot Blog

FEBRUARY 15, 2023

DataRobot does a great job of explaining exactly how it got to this feature. Delivering Explainable and Transparent Models with DataRobot Explainability is a key differentiator in DataRobot that allows for smoother collaboration on your team.

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IBM Journey to AI blog

MAY 14, 2024

. “Create trustworthy AI development.” IBM has also long acknowledged the potential risks of AI adoption, and advocated for strong governance and for AI that is transparent, explainable, robust, fair, and secure. Are you wondering what to prioritize in your AI journey?

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Unite.AI

JULY 25, 2024

This includes optimizing data collection processes, fostering transparency into AI decision making rationale, and leveraging AI model insights to refine human-driven processes. Explainability is key to fostering trust by providing clear rationale that lays bare the decision-making process. But reskilling alone is not enough.

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