Working backwards: AWS’s strategy for pharma’s cloud-enabled transformation

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The meteoric rise of the AI sector is hard to fathom. Projections from Precedence Research suggest that the global AI market could balloon by 2600% from 2022 to 2032, hitting $1.87 trillion — an annual growth rate of 39%.

In pharma, AI and data science demand is surging though overall growth is sluggish. Despite advances such as the rapid development of COVID-19 vaccines, the broader sector has struggled to keep up with the overall stock market. But the future could tell a different story. McKinsey projects that the pharma and medical products sector could gain 9% in EBITDA from cloud computing.

To tap this potential, cloud vendors are allying with pharma companies. “Nine of the top 10 pharma companies in the world have a large majority of the workloads running on AWS,” noted Tehsin Syed, general manager of AWS Health. These workloads encompass diverse areas including IT infras…

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The Allen Institute is employing AWS Cloud and machine learning to decode brain mysteries

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High-resolution mapping of the human brain involves managing and interpreting a colossal amount of data. Shoaib Mufti, the head of data and technology at the Allen Institute for Brain Science, described the organization’s approach to these challenges in a recent interview. The project uses artificial intelligence to analyze millions of data points from brain imaging and genetic data, akin to the Human Genome Project.

Allen Institute’s AI-driven brain decoding

Mufti’s team at the Allen Institute is aiming to map the human brain at a cellular level. Their work has led to the creation of a genome-scale Allen Mouse Brain Atlas, a comprehensive, freely accessible online resource for neuroscience research, housing over 20,000 genes and more than 650,000 images.

The Allen Institute uses several AWS Cloud services to manage and analyze the vast amounts of data. They use Amaz…

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