AI Articles and Analysis about Machine learning infrastructure

Machine learning is the subfield of computer science that gives computers the ability to learn without being explicitly programmed.

V.1 – How AI Drives Drug Development Workflows and Value Chains Across Life Sciences Enterprises-1x-min

How AI Drives Drug Development Workflows and Value Chains Across Life Sciences Enterprises – with Leaders from Benevolent and Takeda

This article/interview analysis is sponsored by BenevolentAI and was written, edited, and published in alignment with our Emerj sponsored content guidelines. Learn more about our thought leadership and content creation services on our Emerj Media Services page.

IT for Financial Services in the Age of GenAI-min

IT for Financial Services in the Age of GenAI – with Craig Mackereth of Rimini Street

Dozens of GPT-driven products are already on the market, and hundreds more are in development. These tools collectively aim to revolutionize traditional roles and processes, transforming them into dynamic, parallelized workflows using variants of LLM models, such as AutoGPT. Tools like GitHub Copilot, powered by OpenAI's Codex, are demonstrating significant improvements in developer productivity, with some studies showing up to a 55% increase in task completion speed. 

Driving Drug Discovery Efficiencies in Life Sciences with AI-1-min

Driving Drug Discovery Efficiencies in Life Sciences with AI – with Anne Phelan of BenevolentAI

According to research from the American Society for Biochemistry and Molecular Biology, nine out of 10 drugs fail to make it to market in the clinical trials process. Researchers in the cited studies found that 40-50% of these failures are due to a lack of clinical efficacy, meaning that the drug is not able to produce its intended effect in people, and 30% were due to unmanageable toxicity or side effects.

Header graphics – Sanofi-1-min

Artificial Intelligence at Sanofi

Sanofi is a global healthcare and pharmaceutical company. Founded in 1973, it aims to unlock and maximize the potential of critical medicines, vaccines, and self-care solutions for individuals. It accomplishes this across four global business units: Specialty Care, Vaccines, General Medicines, and Consumer Healthcare. 

01 – Confronting Unique Challenges in Retail and eCommerce Fraud@1x-min

Confronting Unique Challenges in Retail and eCommerce Fraud – with Leaders from Amazon, PayPal, FanDuel, and Riskified

This interview analysis is sponsored by Riskified and was written, edited and published in alignment with our Emerj sponsored content guidelines. Learn more about our thought leadership and content creation services on our Emerj Media Services page.

UNICRI on responsible AI criteria and other tool kits@2x-min

UNICRI-Approved Responsible AI Toolkits for Law Enforcement

The United Nations Interregional Crime and Justice Research Institute (UNICRI) was established in 1968 as an autonomous institution in response to a United Nations resolution urging expanded crime prevention and criminal justice activities. UNICRI's mission is to advance justice, crime prevention, security, and the rule of law to support peace, human rights, and sustainable development. 

AI at Takeda@1x-min

Artificial Intelligence at Takeda Pharmaceuticals

Takeda Pharmaceuticals is a 240-year-old, leading biopharmaceutical company headquartered in Tokyo, Japan, with a global hub in Cambridge, Massachusetts. The company has a global presence, operating in more than 80 countries across North America, Europe and Asia.

Generative AI Adoption Challenges From a Data Perspective – with Ted Kwartler of Data Robot and Tsavo Knott of Pieces@1x

Generative AI Adoption Challenges From a Data Perspective – with Ted Kwartler of Data Robot and Tsavo Knott of Pieces

This interview analysis is sponsored by Pieces and was written, edited and published in alignment with our Emerj sponsored content guidelines. Learn more about our thought leadership and content creation services on our Emerj Media Services page.

Machine learning infrastructure

Machine learning is the subfield of computer science that gives computers the ability to learn without being explicitly programmed.