Info-Tech Research Group Unveils New Use Case Library

In its latest research, Info-Tech Research Group highlights generative AI’s potential to revolutionize operations and boost productivity in the chemical and pharmaceutical industry. Despite adoption barriers, the transformative impacts of Gen AI on supply chain optimization, product design, material innovation, generative chemistry, and clinical trials are significant.

TORONTO, Feb. 1, 2024 /PRNewswire/ – In the ever-evolving landscape of chemical and pharmaceutical manufacturing, industry leaders are confronted with a myriad of challenges, from volatile raw material prices to compliance complexities and operational inefficiencies. These hurdles underscore the critical need for innovative solutions that can revolutionize operational processes, enhance productivity, and drive transformative change. To address these pressing challenges, Info-Tech Research Group has released its latest research, Generative AI Use Case Library for the Chemical & Pharmaceutical Manufacturing Industry. This comprehensive resource showcases various applications for generative AI within the chemical and pharmaceutical sector designed to address industry pain points and help IT leaders catalyze a new era of efficiency and competitiveness within the industry.

Info-Tech Research Group's "Generative AI Use Case Library for the Chemical & Pharmaceutical Manufacturing Industry" blueprint highlights how Gen AI can significantly impact specific functional areas within the industry to stay competitive. (CNW Group/Info-Tech Research Group) — Info-Tech Research Group’s “Generative AI Use Case Library for the Chemical & Pharmaceutical Manufacturing Industry” blueprint highlights how Gen AI can significantly impact specific functional areas within the industry to stay competitive. (CNW Group/Info-Tech Research Group)

“Today, manufacturing leaders are striving to make sense of the new realm of Gen AI, with its endless acronyms and complex jargon, while seeking ways to stay ahead of their competition,” says Shreyas Shukla, principal research director at Info-Tech Research Group. “Gen AI is a game changer – a powerful tool and partner in innovation that can amplify human capabilities and alleviate the burden of mundane tasks, enabling a stronger focus on more strategic pursuits.”

The firm’s research explores the tremendous potential of Gen AI in resolving key industry-specific challenges and presents a roadmap for organizations to navigate the complexities of adoption. The blueprint highlights that, despite barriers such as a lack of understanding of a fluid and unfamiliar solutions ecosystem and concerns about impacts on the workforce and data security, Gen AI brings a multitude of benefits to the table.

“Some people worry that technologies like Gen AI are accelerating humans toward a dystopian future in which machines have the power to take over the world,” explains Shukla. “However, others see its transformative benefits, such as applications that can breathe new life into the manufacturing industry. For instance, Gen AI can significantly reduce the time for material discovery, leading to faster product development cycles. From product design to process optimization, Gen AI is poised to unleash a wave of efficiency and creativity.”

Info-Tech emphasizes that it is important for IT leaders to comprehend the capabilities of Gen AI and identify areas within their organizations that can benefit from this revolutionary technology. The use case library showcases how Gen AI can significantly impact specific functional areas within chemical and pharmaceutical manufacturing, as outlined below:

Supply Chain

Gen AI can generate more accurate forecasts, identify supplier risks, recognize unusual patterns of behavior, generate optimized pricing and efficient transportation plans, determine inventory levels, and provide a detailed analysis of financials.
Using a fine-tuned, supply chain–specific AI model or applying supply-chain data to train a model can provide powerful capabilities for optimizing the supply chain.

Product & Material Design

Gen AI can generate insights about potential market gaps and opportunities. Organizations can capitalize on these opportunities by designing and potentially localizing products.
Gen AI can accelerate the discovery of materials, or combinations of materials, that have the physical properties required for the development or redevelopment of physical products instead of trying to figure out how to adapt existing materials.

New Product Introduction

By combining insights from prevailing trends and customer needs with organizational consensus and go-to-market strategies, Gen AI can help generate tailored product concepts.
Organizations can also use Gen AI tools to generate product renders using text prompts/instructions and simple 2D images.

Generative Chemistry

Applicable to both chemical and pharmaceutical manufacturing, Gen AI tools and services can accelerate molecular design, simulate chemical environments, and predict the success rate of proposed reactions and clinical trials.
Gen AI can also accelerate research on alternative applications of existing chemicals and drugs to help rapidly achieve organizational objectives and regulatory requirements, especially related to sustainability, and improve treatment outcomes in pharma.

Clinical Trials

Gen AI technologies can be applied to predict the success rate of clinical trials through simulation, eliminating the need to conduct physical clinical trials in a lab and wait for results.
Additionally, Gen AI will be able to identify failure points in trial design and ensure that the best practices have been applied.

Info-Tech’s research explains that with a comprehensive understanding and strategic deployment, the industry can tap into the potential of generative AI, leading to transformative impacts that ultimately benefit both the industry and society as a whole. The firm underscores the importance of collaboration between IT leaders, industry stakeholders, and regulatory bodies to navigate the complexities of implementation, ensuring that the adoption of Gen AI aligns with ethical standards and contributes to sustainable industry practices.

For exclusive and timely commentary from Shreyas Shukla, an expert in supply chain strategy, operations, and digital transformation, and access to the complete Generative AI Use Case Library for the Chemical & Pharmaceutical Manufacturing Industry, please contact [email protected].

About Info-Tech Research Group
Info-Tech Research Group is one of the world’s leading information technology research and advisory firms, proudly serving over 30,000 IT professionals. The company produces unbiased and highly relevant research to help CIOs and IT leaders make strategic, timely, and well-informed decisions. For 25 years, Info-Tech has partnered closely with IT teams to provide them with everything they need, from actionable tools to analyst guidance, ensuring they deliver measurable results for their organizations.

Media professionals can register for unrestricted access to research across IT, HR, and software and over 200 IT and industry analysts through the firm’s Media Insiders program. To gain access, contact [email protected].

For information about Info-Tech Research Group or to access the latest research, visit infotech.com and connect via LinkedIn and X.