Towards AI

JANUARY 24, 2024

Last Updated on January 25, 2024 by Editorial Team Author(s): Towards AI Editorial Team Originally published on Towards AI. What happened this week in AI by Louie This week, Meta’s AI strategy was in focus, with Mark Zuckerberg boasting of Meta’s GPU hoard and outlining his open-source-focused AI vision.

Large Language Models 105

Large Language Models LLM AI AI 105

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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Conversational AI NLP Chatbots AI 291

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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Neural Network LLM Algorithm NLP 256

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 Machine Learning AI AI 133

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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AI Strategy Neural Network AI AI 100

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.

ChatGPT 52

ChatGPT Conversational AI Data Scientist AI 52

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.

ChatGPT 52

ChatGPT Conversational AI Data Scientist AI 52

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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Data Scientist Data Drift Automation AI 52

Topbots

FEBRUARY 4, 2025

Figure 3: Knowledge graphs explicitly encode relationships between entities, reducing the guesswork in your AI system Instead of relying purely on statistical correlations, an AI system enriched with knowledge graphs can: Validate predictions against domain-specific rules (e.g., Infer missing information (e.g.,

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LLM UX Design AI AI 52

Unite.AI

JANUARY 20, 2025

Transparency = Good Business AI systems operate using vast datasets, intricate models, and algorithms that often lack visibility into their inner workings. This opacity can lead to outcomes that are difficult to explain, defend, or challengeraising concerns around bias, fairness, and accountability. It needs regular checkups.

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Explainability Explainable AI AI AI 113

AI News

JULY 11, 2024

Budget restrictions (41%), shortage of AI talent (38%), and technical complexity (35%) were cited as primary obstacles. Michal Szymczak, Head of AI Strategy at Zartis, commented on this apparent contradiction: “AI adoption isn’t some ‘on or off’ switch.

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Big Data Software Development DevOps AI 338

AI News

JULY 11, 2024

Budget restrictions (41%), shortage of AI talent (38%), and technical complexity (35%) were cited as primary obstacles. Michal Szymczak, Head of AI Strategy at Zartis, commented on this apparent contradiction: “AI adoption isn’t some ‘on or off’ switch.

Big Data 144

Big Data Software Development DevOps AI 144

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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ML Generative AI AI AI 130

Unite.AI

MARCH 19, 2025

While building the foundation for large-scale AI factories, NVIDIA is simultaneously bringing AI computing power to individuals and smaller teams. The company introduced a new line of DGX personal AI supercomputers powered by the Grace Blackwell platform , aimed at empowering AI developers, researchers, and data scientists.

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Robotics Explainability Data Scientist AI Strategy 253

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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Artificial Intelligence Artificial Intelligence Responsible AI AI 249

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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AI AI Automation Algorithm 162

ODSC - Open Data Science

FEBRUARY 12, 2025

The United Kingdom and the United States have opted not to sign an international AI agreement at a global summit in Paris. The agreement, backed by 60 nationsincluding France , China, and Indiasets out principles for ensuring AI development remains open , inclusive , and ethical.

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AI AI AI Strategy Explainability 59