Generative AI Machine Learning Pharmaceuticals 
AWS Machine Learning - AI
MARCH 5, 2025
Generative AI question-answering applications are pushing the boundaries of enterprise productivity. These assistants can be powered by various backend architectures including Retrieval Augmented Generation (RAG), agentic workflows, fine-tuned large language models (LLMs), or a combination of these techniques.
Crunchbase News
FEBRUARY 19, 2025
billion globally went to companies applying advances in artificial intelligence to health-related areas such as medical services and pharmaceutical development, per Crunchbase data. Yet even amid the hottest period ever for AI funding , investment in AI-enabled health startups has remained below 2021 levels. Where are the exits?
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AWS Machine Learning - AI
MARCH 4, 2024
Amazon Bedrock is the best place to build and scale generative AI applications with large language models (LLM) and other foundation models (FMs). It enables customers to leverage a variety of high-performing FMs, such as the Claude family of models by Anthropic, to build custom generative AI applications.
AWS Machine Learning - AI
FEBRUARY 6, 2024
Bringing innovative new pharmaceuticals drugs to market is a long and stringent process. Accenture built a regulatory document authoring solution using automated generative AI that enables researchers and testers to produce CTDs efficiently. AI delivers a major leap forward.
Cloudera
JUNE 11, 2024
More than two-thirds of companies are currently using Generative AI (GenAI) models, such as large language models (LLMs), which can understand and generate human-like text, images, video, music, and even code. A global pharmaceutical company has utilized GenAI to accelerate drug discovery and development.
CIO
JULY 18, 2023
How Nvidia got here and where it’s going next sheds light on how the company has achieved that valuation, a story that owes a lot to the rising importance of specialty chips in business—and accelerating interest in the promise of generative AI.
CIO
SEPTEMBER 30, 2024
Like many organizations, Indeed has been using AI — and more specifically, conventional machine learning models — for more than a decade to bring improvements to a host of processes. But Calhoon said the company in the past few years has been using AI to transform its products, services, and workplace.
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