TechCrunch
MARCH 11, 2023
most read Silicon Valley Bank implodes: Silicon Valley Bank Financial, the publicly traded holding firm of Silicon Valley Bank (SVB), is in crisis. Venture firms advised portfolio companies to move money out of SVB after the bank said it would book a $1.8 Don’t miss it. Now on to WiR.
CIO
JANUARY 25, 2024
More than 80% of business leaders believe that the best bang for their gen AI buck is in chatbots for automating customer service and improving knowledge management, according to a Capgemini survey of 1,000 companies in 13 countries. Banking customers are increasingly using chatbots in their everyday transactions.
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CIO
AUGUST 30, 2023
Now, generative AI use has infiltrated the enterprise with tools and platforms like OpenAI’s ChatGPT / DALL-E, Anthropic’s Claude.ai, Stable Diffusion, and others in ways both expected and unexpected. People send things into ChatGPT that they shouldn’t, now stored in ChatGPT servers. What a difference a few months makes.
CIO
NOVEMBER 16, 2023
According to a September survey of IT decision makers by Dell, 76% say gen AI will have a “significant if not transformative” impact on their organizations, and most expect to see meaningful results within the next 12 months. And ChatGPT is one of the first and easiest coding assistants out there. It’s blocked.”
CIO
SEPTEMBER 7, 2023
According to a 2022 Institute of Directors survey , 80% of boards did not have processes in place to audit their company’s use of AI. They said they did not know what questions to ask,” the survey concluded. Be mindful of pre-existing expectations Some years ago, I was working with the CIO of a very large East Coast bank.
Dataiku
AUGUST 30, 2023
Here's the scoop on Generative AI, according to a June 2023 Dataiku + Databricks survey of 400 senior AI professionals. This includes large language models (LLMs) , the tech behind ChatGPT. A whopping 64% of organizations across all industries will “Likely” or “Very Likely” use it over the next year.
CIO
DECEMBER 13, 2023
The evolution of AI and the use of structured and unstructured data When discriminative AI rose to prominence in sectors such as banking, healthcare, retail, and manufacturing, it was primarily trained on and used to analyze, classify, or make predictions about unstructured data.
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