As the CEO of an early-stage life sciences company, you're navigating the complexities of scaling your team under budget constraints and a limited pool of specialized talent. Traditional approaches to growth may not be sufficient in this environment, requiring innovative strategies to meet your organization’s needs effectively.
What if you could enhance your team’s capabilities without increasing headcount?
GenAI Doesn’t Just Boost Productivity - It Expands Capabilities
In this INSIGHTS, we’ll explore how generative AI (GenAI) can be applied beyond R&D to serve as a leadership and operational tool. While automation can streamline repetitive processes, the true value of GenAI lies in its ability to augment human expertise - empowering your team to continuously learn, upskill, and take on more complex challenges.
GenAI provides a powerful mechanism to bridge skill gaps within your existing team, helping them evolve and perform at higher levels without the need for additional hires. This creates a strategic advantage by expanding your organization’s capabilities through talent development, not just task automation.
(N.B: The iEVP study, conducted by Prof Mark Mortensen and Prof Amy Edmondson in collaboration with LifeScience ORG, surveying nearly 1,000 employees of European life science ventures revealed that most employees felt their growth and development were under-supported. GenAI can help address this gap by fostering continuous learning and capability-building within your workforce.
Why should this session matter to you?
Upskill your current team to take on more complex, specialized tasks without the need to hire additional talent.
Increase efficiency and productivity by automating routine tasks, while being mindful of where human oversight remains essential.
Be more strategic about workforce planning by integrating AI-driven capabilities into your long-term talent strategy.
François Candelon is currently a Partner at Seven2, a French private equity firm. Previously, he served as the Global Director of the BCG Henderson Institute (2019-2024), where he led pioneering research on artificial intelligence and its impact on business strategy and society. François has been a key figure in exploring how AI can serve as a competitive advantage for businesses and national economies, with his work regularly published in prominent outlets such as Harvard Business Review and MIT Sloan Management Review. He is also a frequent speaker at global conferences such as TED and the AI Summit.
Leonid Zhukov is the Director of the BCG Global AI Institute, where he plays a pivotal role in exploring how artificial intelligence, particularly generative AI (GenAI), can transform industries. Based in BCG’s New York office, Leonid has led several key initiatives focusing on the applications of AI, from predictive maintenance to customer experience enhancement. His work emphasizes how businesses can leverage AI beyond traditional automation, expanding into multimodal AI that integrates data from various sources such as images, audio, and IoT signals to drive more profound insights and operational efficiencies. With a background in data science, Leonid has been a prominent voice in the field, contributing to discussions on the future of AI across sectors, the ethical implications of AI, and the strategic integration of AI into business operations.