AI Articles and Analysis about Business intelligence and analytics

Explore articles and reports related to artificial intelligence for business intelligence and analytics, including applications in forecasting, predictive analytics, text analysis, and more.

Driven Approaches 
to Infrastructure

Driving Patient Experiences Through Data Science-Driven Approaches to Infrastructure – with Xiong Liu of Novartis

Explainable AI models are essential in pharmaceutical R&D because they provide transparency and understanding of how AI-driven predictions are made. In drug discovery and development, stakeholders, including researchers, regulatory bodies, and healthcare professionals, need to trust and understand AI models' outputs to make informed decisions. Without explainability, AI models can be seen as "black boxes," leading to skepticism and reluctance to adopt these technologies in critical decision-making processes. 

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.

Artificial Intelligence at Elevance Health-1-min

Artificial Intelligence at Elevance Health

Elevance Health is a health insurance provider headquartered in Indianapolis, Indiana. It was founded 20 years ago as a merger between Anthem and Wellpoint Health Networks. The company offers medical, dental, pharmaceutical, behavioral health, and long-term care plans.

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. 

Tires and Data Collection for Autonomous Vehicles-1

Tires and Data Collection for Autonomous Vehicles – with Chris Helsel of Goodyear

Technological advancements have contributed to an increase in more efficient and sustainable transportation solutions. Predictions made decades related to autonomous vehicles were wildly optimistic. The automated transportation industry might not align with those early predictions, but there have still been noteworthy developments. 

Transforming the Enterprise-Level Customer Experience with AI@1x

Transforming the Enterprise-Level Customer Experience with AI – with Jason Aubee of TechSee

Contact centers play a crucial role in delivering exceptional customer experiences (CX) across industries, both B2c and B2b. As customer expectations elevate, organizations increasingly leverage AI to streamline operations and enhance customer service. According to recent reporting in the MIT Technology Review, enterprises generally deploy AI to transform contact centers, usually taking the form of intelligent virtual assistants to obtain predictive customer insights as well as for dispute and fraud management. 

Adopting Generative AI in Healthcare Organizations-1-min

Adopting GenAI in Healthcare Organizations – with Prashant Natajaran of H2O.ai

As stakeholders in the life sciences and healthcare industries rush to adopt GenAI and integrate it into their projects and processes, they are walking a tightrope. GenAI will play a vital role in the future of healthcare in ways that we can hardly yet imagine; on the other hand, concerns like patient data privacy and potential inaccuracies have led many to take a cautious approach. 

Artificial Intelligence
at Capital One-1

Artificial Intelligence at Capital One

Capital One, founded in 1994 and headquartered in McLean, Virginia, has become a prominent player in the financial services sector, mainly known for its credit card offerings, auto loans, banking, and savings accounts. With operations primarily spanning the United States, the company boasts a workforce of approximately 52,000 employees. As a technology-focused financial institution, Capital One is dedicated to leveraging cutting-edge innovations to enhance customer experience and streamline operations.

Business intelligence and analytics

Explore articles and reports related to artificial intelligence for business intelligence and analytics, including applications in forecasting, predictive analytics, text analysis, and more.