CIO
NOVEMBER 27, 2024
From customer service chatbots to marketing teams analyzing call center data, the majority of enterprises—about 90% according to recent data —have begun exploring AI. This team serves as the primary point of contact when issues arise with models—the go-to experts when something isn’t working.
AWS Machine Learning - AI
MARCH 18, 2025
This is where the integration of cutting-edge technologies, such as audio-to-text translation and large language models (LLMs), holds the potential to revolutionize the way patients receive, process, and act on vital medical information. These insights can include: Potential adverse event detection and reporting.
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TechCrunch
AUGUST 4, 2021
The venture capitalists who run these firms decide which startups today will develop the new platforms and technologies that will shape our lives tomorrow. Venture capital firms need to institute human rights due diligence processes that meet the standards set forth in the UN Guiding Principles on Business and Human Rights.
CIO
OCTOBER 24, 2024
Generative artificial intelligence (genAI) is the latest milestone in the “AAA” journey, which began with the automation of the mundane, lead to augmentation — mostly machine-driven but lately also expanding into human augmentation — and has built up to artificial intelligence. Artificial?
Palo Alto Networks
JANUARY 3, 2024
Our objective is to present different viewpoints and predictions on how artificial intelligence is impacting the current threat landscape, how PAN protects itself and its customers, as well as implications for the future of cybersecurity. The real acceleration of AI comes if your model can see all the data it needs to.
TechCrunch
MAY 3, 2023
Some investors said they tackle this by doing due diligence on a founder’s ethics to help determine whether they’ll continue to make decisions the firm can support. Government policies are also taking aim at AI: The EU has passed machine learning laws , and the U.S. How would the U.S.
TechCrunch
JANUARY 27, 2023
The potential of AI tools like ChatGPT creates a similar dilemma — should companies license large language models without modifications, or customize them and pay much higher usage rates? Walter Thompson Editorial Manager, TechCrunch+ @yourprotagonist When it comes to large language models, should you build or buy?
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