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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.

One of the key strategies for future-proofing an organization is recognizing the limits of AI models and filtering out the misconceptions that AI is a one-solution-fixes-all narrative for businesses. Enterprises build an AI strategy supported by use cases and how LLMs can change the workforce going forward.

Lilly and Company is a global pharmaceutical corporation founded in 1876 and headquartered in Indianapolis, Indiana. The company has offices in 18 countries and sells its products in approximately 125 countries worldwide. As of 2024, Lilly employs over 38,000 people globally and has an annual revenue of $34.12 billion. 

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. 

KeyBank is a financial services institution with a rich history dating back to 1825 and headquartered in Cleveland, Ohio. With 17,000 employees, operations across 15 states, and assets totaling $187 billion, KeyBank's commitment to innovation is evident in its strategic application of AI technologies to enhance both workforce management and customer service. 

Nestlé is a global leader in the food and beverage industry, operating across 189 countries with a workforce of over 339,000 employees. Formed in 1905 and headquartered in Vevey, Switzerland, it is the largest publicly held global food company, according to Forbes's Global 500 list, with over $98 billion in sales just last year. 

Like much of the financial services space broadly, the insurance industry is growing interested in adopting AI. The technology holds immense potential to revolutionize insurance, enhancing efficiency and accuracy across various processes such as claims and underwriting. However, concerns surrounding data privacy and integration complexities have prompted a measured approach among industry leaders.

Fostering a culture of experimentation in AI and data science is crucial for organizations to stay competitive and drive innovation. In 2021, an MIT Sloan report found companies that prioritize AI experimentation are 2.7 times more likely to capture new value and improve their operations. By embracing a more experimental mindset, organizations can harness the full potential of AI-driven tools and unlock new opportunities for growth.

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.

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.