Episode 7: Insights for AI Deployment, Governance and Strategies in the TIC Industry

Join our experts as they explore the practical insights and governance strategies for AI in the TIC industry. Listen to the podcast now.

Explore the latest trends and practical insights for AI deployment, governance and strategic implementation in the TIC industry in our latest podcast episode. Host Daniel Tatarsky is joined by experts from IBM and SGS to discuss how to identify valuable AI opportunities, integrate AI into existing services, and maintain human decision control. They also explore the importance of robust AI governance, future trends, and the balance between AI automation and human expertise. Listen now to stay ahead in the evolving world of AI.

Listen to the podcast

About the speakers

Join our experts as they explore the practical insights and governance strategies for AI in the TIC industry:

• Joost Vos, PhD, Technical Specialist in NLP & Data Science, IBM
• Nicola Colombo, Global Head of SGS DIGICOMPLY, SGS
• Tzveta Iordanova, Innovation Coach at Emerging Technologies, SGS

Podcast highlights

How can TIC companies identify the most valuable AI opportunities within their specific services and markets?

Identifying AI opportunities involves integrating AI into existing service delivery pipelines, ensuring they run parallel with current services. AI can either fully automate services, accepting some error, or assist humans while they maintain decision control. In the TIC industry, where certainty and validation are crucial, AI should support human experts in decision-making, providing rapid access to knowledge while allowing humans to validate decisions and information.

What is the importance of governance when implementing AI in TIC?

AI governance involves establishing guardrails to ensure AI tools and systems are safe and ethical. This is critical to ensure that users and those affected by AI systems are free from bias, drift and discrimination. Rigorous testing under varying conditions is essential to maintain fairness. For example, testing AI systems that evaluate job applicants by switching CV genders can ensure unbiased outcomes. Governance ensures AI systems augment human roles reliably without resulting in unequal treatment.

What trends in AI development are most likely to influence the future direction of the TIC industry?

Upcoming trends include customizing and chaining local models to perform specific tasks efficiently, allowing for highly accurate results on smaller hardware footprints. Another trend is the rise of powerful virtual agents, which automate manual steps within workflows, increasing accuracy and optimizing processes. Additionally, there is a shift from consumer-based apps to enterprise-grade, trustworthy AI solutions, particularly with the ratification of the UI act.

About the Changing Conversations podcast

Join us for the Changing Conversations podcast, where we take a deep dive into the complex issues facing the modern world and shine a light on the innovations that can make a difference. Each episode offers a fresh perspective on a unique topic – from the transition to a more sustainable world to AI technology.