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Drug Discovery with Gen AI for faster, Safer Pharmaceuticals

RandomTrees

A ground-breaking technology called Generative Artificial Intelligence (Gen AI) is revolutionizing the pharmaceutical sector. The article looks at how Gen AI transforms the drug discovery process as well as its applications, benefits, challenges, and what future it hopes to see in pharmaceutical innovation.

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Data Science in Pharmaceutical Industry [Use Cases + Examples]

Knowledge Hut

The pharmaceutical industry is one of the most innovative and competitive industries in the world. The pharmaceutical industry according to report has made a jump from $40 billion in 2021 to an expected $130 billion in 2030, with projections hitting $450 billion by 2047. which help improve decision-making processes.

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Implementing a Pharma Data Mesh using DataOps

DataKitchen

Below is a discussion of a data mesh implementation in the pharmaceutical space. DataKitchen has extensive experience using the data mesh design pattern with pharmaceutical company data. . In the United States, private manufacturers of pharmaceuticals receive a patent for a limited period of time – approximately 20 years.

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Driving Innovation and Efficiency with Gen AI in Life Sciences

Snowflake

Today, generative AI-powered tools and algorithms are being used for diagnostics, predicting disease outbreaks and targeted treatment plans — and the industry is just getting started. According to estimates, gen AI will create between $60 billion and $110 billion annually in economic value for pharmaceutical and medtech companies.

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Top 4 Data + AI Predictions for Telecommunications in 2024

Snowflake

Machine learning is used in security algorithms to detect anomalies, and recommendation engines tailor offers for the next thing you should buy, watch or listen to. AI models can scan medical and pharmaceutical data for new treatments and lead to new medical discoveries. Phil Kippen, Snowflake’s Head of Industry, Telecommunications 3.

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Fueling Enterprise Generative AI with Data: The Cornerstone of Differentiation

Cloudera

This data often includes fields that are predefined, such as dates, credit card numbers, or customer names, which can be readily processed and queried by traditional database tools and algorithms. A global pharmaceutical company has utilized GenAI to accelerate drug discovery and development.

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Data Science vs Artificial Intelligence [Top 10 Differences]

Knowledge Hut

The field of Artificial Intelligence has seen a massive increase in its applications over the past decade, bringing about a huge impact in many fields such as Pharmaceutical, Retail, Telecommunication, energy, etc. Experts have also suggested that, by the year 2030, AI and Data Science will see a 31.4