Lenovo Work Reborn Podcast

In industrial environments, unmanaged AI is not just a productivity risk; it can become an operational and safety concern. 

Rich Dedmon explains why Shadow AI can persist even with a dedicated AI team, especially when employees experiment with AI-generated code in complex environments they may not fully understand. The takeaway: leaders need guardrails that protect the business without killing innovation, especially where digital decisions can affect physical operations.

🎧 Explore how leaders are shaping the future of work through smarter technology, stronger strategy, and a more human-centered approach to innovation.

Shadow AI is no longer limited to obvious tools like ChatGPT or Claude; it can appear inside platforms companies already approved. 

Jennifer Swann explains how CISOs are responding with governance, training, DLP, vendor reassessments, and human review as AI capabilities spread across everyday applications. The takeaway: AI risk management has to become continuous because the workplace tech stack is changing faster than a one-time approval process can handle.

🎧 Explore how leaders are shaping the future of work through smarter technology, stronger strategy, and a more human-centered approach to innovation.

Secure AI adoption starts before the first tool is scaled. 

Chandan Kochhar explains why organizations need policies, SOPs, approved tools, data protection, role-based training, and the right partner support from the beginning so AI can move forward with clear outcomes and stronger guardrails.

🎧 Explore how leaders are shaping the future of work through smarter technology, stronger strategy, and a more human-centered approach to innovation.

AI can help cybersecurity teams contextualize massive amounts of data and move faster, but Kevin Greene says the value depends on having the right use cases and a trustworthy governance model. 

He explains why organizations must understand AI-related threats, use policy to guide adoption, and keep humans in control as AI becomes part of daily cyber operations. The takeaway: secure AI adoption starts with use-case discipline, risk awareness, and a governance framework that protects the mission.

🎧 Explore how leaders are shaping the future of work through smarter technology, stronger strategy, and a more human-centered approach to innovation.

AI pilots can move fast, but Karthik Balasubramanian argues that scale only works when governance is built in from the start. 

He breaks down why leaders need visibility into agent identities, approved data access, token consumption, model behavior, and business ownership before moving from proof of concept to production. The takeaway: AI success is not just about making the technology work; it is about knowing what it is doing, what it can access, and who is accountable when it scales.

🎧 Explore how leaders are shaping the future of work through smarter technology, stronger strategy, and a more human-centered approach to innovation.

AI is helping teams modernize code, speed up analysis, and rethink how work gets done, but Betty warns that adoption cannot come at the expense of critical thinking. 

She explores the balance between leadership-led training, Shadow AI, standardization, and keeping a human in the loop as employees learn how to use AI without outsourcing their judgment. The takeaway: the winners of the AI race will be the teams that use AI to augment people, not replace the thinking they need to grow.

🎧 Explore how leaders are shaping the future of work through smarter technology, stronger strategy, and a more human-centered approach to innovation.

AI adoption can create real value, but only when organizations understand the risks behind how employees are actually using it. 

Chandan Nuckched explains why companies need business-specific AI models, stronger controls around sensitive data, and ongoing training that keeps employees from unintentionally exposing information through unmanaged tools. The takeaway: successful AI transformation starts with people and process before tools.

🎧 Explore how leaders are shaping the future of work through smarter technology, stronger strategy, and a more human-centered approach to innovation.

AI is no longer something IT leaders can afford to ignore.

Jai Arun, Chief Product Officer at IBM Corporation, explains why AI should be embraced as a human assistant that improves productivity, accelerates development, and helps solve harder problems. He also shares why responsible adoption starts with the right use cases, clear guardrails, and experienced guidance when organizations are still learning where AI creates value and risk.

🎧 Explore how leaders are shaping the future of work through smarter technology, stronger strategy, and a more human-centered approach to innovation.

How do security leaders keep control when AI is accelerating attacks and hybrid work has pushed endpoints everywhere?

Clark Lovrien, Deputy Chief Information Security Officer at Absolute Security, explains why endpoint resilience starts below the operating system, and why the next era of security is about restoring control, managing shadow AI risk, and recovering in hours or days, not weeks or months.

🎧 Explore how leaders are shaping the future of work through smarter technology, stronger strategy, and a more human-centered approach to innovation.

AI adoption only works when security and innovation move together.

Monica Grace, Senior Analyst Relations Manager at Microsoft, explains why organizations need end-to-end guardrails, employee education, and cautious experimentation to secure AI without stopping progress. Her takeaway: the future of work is not just more automation, it is using AI to free people’s time for the ideas and connections that matter most.

🎧 Explore how leaders are shaping the future of work through smarter technology, stronger strategy, and a more human-centered approach to innovation.