Inside the Accenture Tech Vision Report and the Future of AI-Driven Business

What does it really take to turn AI from hype into value? In this episode of Consulting the Future, I sit down with Mary Hamilton, Global Lead for Accenture's Connected Innovation Centers, to unpack the key findings from Accenture’s 25th Tech Vision report and explore how artificial intelligence is reshaping business.

We discuss how AI is moving beyond automation to become a true collaborator in the enterprise. From generative design to intelligent agents and robotics, Mary explains how technology is evolving from instruction-led tools to systems that understand intent and adapt in real time.

Topics we cover include:

• Why trust is the foundation for AI adoption and how to build it rationally and emotionally
• How organizations can inject personality into AI to avoid sounding the same as everyone else
• The concept of cognitive digital brains and how multi-agent systems are transforming operations
• How robotics are becoming more flexible and applicable across logistics, manufacturing, and healthcare
• The importance of experimentation, upskilling, and making employees part of the AI journey
• How to measure AI success using adoption, engagement, customer satisfaction, and ethical alignment

Mary also shares how Accenture is helping clients bring these ideas to life through its innovation centers and how leaders can start turning AI into meaningful impact.

If your organization is thinking seriously about how to scale AI, build trust, and stay competitive in an increasingly autonomous world, this episode offers a practical, research-backed roadmap to help guide your next steps.

Is your business ready to treat AI as a partner rather than just a tool? Let’s find out.

In this episode of Consulting the Future, we explore how Generative AI is quietly reshaping the consulting profession, not through bold predictions, but through real-world experimentation and measurable outcomes.

Recorded as part of the Tech Talks Network, this conversation features Vladimir "Vlad" Lukic from Boston Consulting Group (BCG), who unpacks findings from a major research collaboration between BCG, Boston University, and OpenAI’s Economic Impacts team. The study set out to measure how GenAI tools like Enterprise ChatGPT with Advanced Data Analysis perform in the hands of consultants tasked with complex data science assignments.

What they found is already shifting how professional services firms think about productivity, talent, and technical capability. Vlad explains how BCG consultants with no prior coding experience were able to complete predictive modeling and statistical analysis tasks at 86 percent of the performance benchmark set by experienced data scientists, and even did so 10 percent faster on average. But the implications go far beyond speed.

We discuss what happens when AI becomes an exoskeleton for knowledge workers, why over-reliance on tools can create new learning gaps, and how firms can design workflows that balance automation with skill retention. Vlad shares how GenAI is being used at BCG to transform onboarding, speed up ideation, and even shift the number of hires needed on high-volume projects.

This is not about replacing consultants. It’s about enhancing their capabilities and rethinking how expertise is developed and deployed. Vlad also touches on how these insights extend beyond the office, from helping his kids understand entrepreneurship to reimagining family travel planning through AI-assisted decisions.

Whether you're leading a consulting practice, working in enterprise transformation, or simply looking for a grounded understanding of how GenAI is being applied today, this episode offers a candid look inside a firm that is already putting it to work.

What will GenAI change in your workflow? And how are you preparing your teams to not just use these tools, but think with them?

Join the conversation and let us know what the future of consulting means to you.

What does enterprise security really look like in 2025, especially as AI, cloud-first architecture, and hybrid work models converge to reshape the perimeter? In this episode of Consulting the Future, recorded live at IGEL Now & Next 2025 in Miami, I am joined by Marissa Schmidt, Senior Director Analyst at Gartner, for a grounded conversation that cuts through the noise.

Marissa brings deep insight into the evolving role of endpoint security in today’s distributed enterprise. With responsibilities spanning cloud networking, application security, and generative AI, she offers a rare vantage point into how these threads are coming together and where businesses need to refocus.

Together, they explore the growing complexity of multi-cloud environments, the operational challenges of managing dozens of disconnected security tools, and why visibility, segmentation, and zero trust architecture are no longer optional.

Marissa explains how the operating system layer is quickly becoming a strategic linchpin in endpoint resilience and why preventive security needs to move closer to the edge.

The discussion also covers how AI is being used not just for threat detection, but for integrating disparate security signals and automating next-step actions in complex environments. Marissa shares what Gartner is seeing in the field, from the practical challenges of implementation to the cultural shifts required to adopt scalable security strategies.

Beyond the technology, we hear about her keynote reflections, the importance of authenticity and adaptability in leadership, and how research-backed guidance can empower IT decision-makers to move from theory to execution.

For business and technology leaders navigating cloud transformation, endpoint strategy, or zero trust implementation, this episode offers clear, research-informed direction.

Are your endpoint and cloud strategies designed for the future or still solving yesterday’s problems?