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Enterprise Voices on Gen AI: Takeda Business Solutions

Feb 21, 2024

Speaker/s

Peter Galik

Head of Innovation, Analytics and Automation, Takeda Business Solutions (TBS), the business services arm of Takeda

Key Points

As Gen AI rapidly matures, enterprises must embrace its transformative potential with clear expectations, a skilled workforce and a commitment to customer-centricity. Moreover, they should be prepared to consume AI technology at inflection points and in the business context while incorporating change management seamlessly into their Gen AI journey.

HFS Research, in partnership with WNS, brings you Enterprise Voices on Gen AI: A series of conversations with business leaders to understand their enthusiasm and concerns as they grapple with the arrival of Gen AI.

Peter Galik, Head - Innovation, Analytics and Automation, Takeda Business Solutions, shares how the company has transitioned to a phase of exploration and identifying practical use cases for AI. He underlines the importance of ensuring that the adoption of Gen AI aligns with the company's values and benefits its employees.

To explore WNS’ Gen AI capabilities, solutions and use cases, click here

FAQs

1. What is enterprise generative AI, and why is it becoming a strategic priority for global organizations?

Enterprise generative AI refers to the use of generative AI technologies across organizational functions to enhance productivity, innovation, decision-making, and customer experiences. It is becoming a strategic priority as global organizations explore practical use cases that deliver measurable business value while supporting employees, customers, corporate values, and long-term transformation goals.

2. What are the most important factors for successful generative AI adoption across an enterprise?

Successful generative AI adoption depends on identifying meaningful business use cases, establishing clear objectives, preparing employees with the right skills, and maintaining strong customer focus. Organizations should also consider governance, responsible AI practices, technology readiness, and change management to ensure Gen AI initiatives create sustainable value across the enterprise.

3. How does enterprise AI transformation help organizations improve innovation, productivity, and business agility?

Enterprise AI transformation enables organizations to integrate AI into business processes, helping employees automate repetitive activities, generate insights, accelerate experimentation, and develop innovative solutions. By combining technology with skilled people and effective processes, organizations can respond faster to changing market demands, improve productivity, and build greater business agility.

4. Why are change management and workforce readiness critical for scaling generative AI initiatives?

Change management and workforce readiness are essential for successful generative AI adoption because new technologies can significantly alter roles, workflows, and responsibilities. Employees need appropriate training, communication, and support to confidently use AI tools. A people-centered approach helps organizations overcome resistance, encourage adoption, and scale Gen AI initiatives effectively.

5. How can enterprises identify high-value generative AI use cases while ensuring alignment with business goals and corporate values?

Enterprises can identify high-value generative AI use cases by evaluating business challenges, employee needs, customer expectations, and opportunities for measurable improvement. Each use case should support strategic objectives and reflect corporate values. Prioritizing practical applications with clear outcomes helps organizations move beyond experimentation and create meaningful enterprise impact.

6. What lessons can organizations learn from Takeda Business Solutions’ approach to generative AI adoption and innovation?

The Takeda Business Solutions generative AI approach demonstrates the importance of exploring practical opportunities rather than adopting AI solely for experimentation. Organizations can learn to prioritize valuable use cases, consider employee and customer needs, align initiatives with corporate values, and integrate change management into their broader innovation and transformation journey.

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Related To: Artificial Intelligence Generative AI Gen AI AI
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