Generative AI and Data Culture

Generative AI and Data Culture

For 355 years, Merck Group has?pushed the boundaries?of human progress with the best available technologies. In the late 1800s, the best data technology was mechanical calculators like this one, which could add, subtract, divide, and multiply complex numbers. It was revolutionary for its time, in much the same way that Generative AI is now.?

For me, this mechanical calculator illustrates two things about how we should think about Generative AI today.?

First, state-of-the-art technology like AI must be made available to your employees in a secure and timely manner to avoid over-reliance on yesterday′s technologies. That′s why we were one of the first organizations to make our own GPT chat tool available to staff from June this year. We′re also embedding digital tools and data ecosystems into every part of our organization. Our use of digital twins, machine learning, advanced analytics, smart manufacturing, and other modern techniques are helping us move faster, predict better, and execute efficiently.?

Second, there is no point investing in the latest AI technologies unless your people have the right skills and mindset. Otherwise, you might as well still be using old mechanical calculators! You will only remain ahead of the curve by building a rich data-driven culture where your people are fully trained and empowered.?

If you want to take your organization on a digital transformation journey, then it requires leadership from the very top. Just last week, the Merck leadership team joined our data and digital experts to review how we can become more efficient using generative AI.?

All of us should be open to learning how to consciously create, share, and use data. There are tremendous opportunities to save time and resources to better prioritize the things that matter most.?

Data literacy is a topic for everyone, regardless of background or function. At Merck, several thousand colleagues now use our data platforms every week. Most are not IT engineers or data scientists but staff in all areas of our business, such as customer support, finance, supply chain management, and R&D.?

Thanks to this data-driven culture and the full engagement of our people, we are well-positioned to become a leading player in digital and AI across our business sectors.?

Let′s continue to build momentum. There is no going back to the technologies of yesterday.?

Arun Kumbhat

Market Entry | Government Relations | Go-to-Market Expertise | Investment - Innovation Deal Builder l Old Economy l Digital | HealthTech, MedTech | Innovation | Subject Matter Expertise | Policy, Regulatory | Partnership

11 个月

Generative AI and all other data driven innovations in Healthcare, need a foundation of quality and quantum of Near Real Time Data rolling up from the frontlines, if they are to move up from being interesting Proof of Concept studies and qualify for deployment. Pharma , Insurance and Public Health bodies need to invest a fraction of their innovation budgets to make sure that it happens. The work we do at LIBRA SOCIAL RESEARCH FOUNDATION is directed to make that happen. Would love to discuss this further.

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Tahira Musarrat

PhD in Organic & Analytical Chemistry

1 年

Helpful! This will guide the future thinking in the right way.

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Prof Frederic Cadet

Co-founder & Chairman of the Board at PEACCEL

1 年

Thank You for sharing Belén Garijo

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Miquel Marti

Corporate & Business Development, Strategy, Licensing, Differentiated Assets, 505(b)(2), Complex Analysis, Repurposing, Artificial Inteligence

1 年

Fully agree with you Belén Garijo

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Kai Beckmann

Member of the Executive Board at Merck KGaA

1 年

Thank you, Belén Garijo, for sharing your thoughts on Generative AI and Data Culture. Once truly embraced, these have profound implications for system-level innovation. Let's embark on this journey towards a future of technology.

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