AWS Machine Learning - AI
FEBRUARY 6, 2024
In 2021, the pharmaceutical industry generated $550 billion in US revenue. Pharmaceutical companies sell a variety of different, often novel, drugs on the market, where sometimes unintended but serious adverse events can occur. The first GPT model was introduced in 2018 by OpenAI.
CIO
DECEMBER 18, 2023
A primary fear is that employees, partners, and organizational stakeholders might share everything from private data to source code into public large language models (LLMs), expose proprietary information and intellectual property, or reveal vulnerabilities to exploit.
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CIO
JULY 18, 2023
Nvidia’s transformation from an accelerator of video games to an enabler of artificial intelligence (AI) and the industrial metaverse didn’t happen overnight—but the leap in its stock market value to over a trillion dollars did. Some of those models are truly gargantuan: OpenAI’s GPT-4 is said to have over 1 trillion parameters.
CIO
OCTOBER 13, 2023
The data architect also “provides a standard common business vocabulary, expresses strategic requirements, outlines high-level integrated designs to meet those requirements, and aligns with enterprise strategy and related business architecture,” according to DAMA International’s Data Management Body of Knowledge.
AWS Machine Learning - AI
FEBRUARY 6, 2024
Bringing innovative new pharmaceuticals drugs to market is a long and stringent process. Because of the sensitive nature of the data and effort involved, pharmaceutical companies need a higher level of control, security, and auditability. The following diagram illustrates the solution architecture.
CIO
SEPTEMBER 8, 2023
Managing inventory, both pre-operative and post-operative, is time consuming because the inventory replenishment process is reactive,” says Jim Swanson, CIO at US pharmaceutical and medical technologies company Johnson & Johnson. Artificial Intelligence, CIO 100, Healthcare Industry
CIO
APRIL 4, 2024
Some prospective projects require custom development using large language models (LLMs), but others simply require flipping a switch to turn on new AI capabilities in enterprise software. “AI We need to continue to be mindful of business outcomes and apply use cases that make sense.” asks Srivastava.
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