In this episode of Consulting the Future, I sit down with Brad Herndon, a partner in PwC’s Customer Transformation practice, to unpack the real-world challenges and opportunities at the intersection of customer data, AI, and marketing strategy.

Brad draws on over 20 years of experience in data and analytics to explain why businesses still struggle to use their data effectively, what’s changing in the way customer information is collected and applied, and how organizations can evolve their personalization strategies without crossing into territory that risks trust. He also reflects on the shift from isolated data silos to more unified, audience-level insights that still respect privacy and consent.

This conversation offers a clear-eyed look at the practical uses of AI, the limits of over-personalization, and the technologies helping companies move toward more relevant and respectful customer engagement. Brad also shares his thoughts on the value of slowing down, citing Cal Newport’s book Deep Work as a personal and professional inspiration for navigating this complex digital landscape.

If you want to understand how customer-centric strategies are evolving inside real enterprises, and how firms like PwC are helping shape that future, this is the episode to hear.

In this episode of Consulting the Future, I sit down with Varun Bijlani, Global Managing Partner for Hybrid Cloud Services at IBM Consulting, to unpack the real-world challenges and opportunities facing enterprise leaders today.

Varun shares candid insights on why the shine has come off many digital and cloud transformations and what needs to change to deliver measurable returns. We discuss the pitfalls of being hybrid by default and how a hybrid by design strategy can radically shift how businesses deploy AI, manage data and keep costs in check.

Drawing from global client examples, Varun outlines how companies are moving from generic IT spending to targeted investments that protect margins, speed up time-to-market and unlock new value from AI-driven innovation. We also touch on the future of infrastructure, from embedded security and energy efficiency to the evolving role of agent-based AI.

If you are navigating the next phase of your company’s cloud journey or questioning how to align IT architecture with financial results, this conversation will give you a clear-eyed perspective from someone helping shape transformation at scale.

Listen in and join the discussion on how consulting, design thinking and practical frameworks can turn technology promises into real business performance.

What does reinvention look like inside a global consulting firm with nearly $20 billion in revenue? In this episode of Consulting the Future, I speak with Mohamad Ali, Senior Vice President at IBM Consulting, about how the company is navigating the shift toward generative AI—one practical use case at a time.

Mohamad brings a rare blend of experience across cybersecurity, data, and enterprise software, shaped by leadership roles at IDG, Carbonite, and now IBM. This conversation unpacks how that background is informing IBM Consulting’s current transformation, including how teams are working differently, where AI is being applied effectively, and why an open ecosystem matters now more than ever.

We look closely at how generative AI is already changing day-to-day consulting work. From improving decision speed to redesigning complex workflows, Mohamad shares examples of client engagements that show real outcomes rather than hypothetical benefits. There’s a strong focus on using AI to amplify human expertise, not displace it—a theme that carries through his approach to upskilling and workforce development.

As consulting shifts toward more software-driven models, Mohamad outlines how IBM is adapting its own culture and mindset to stay relevant in a digital-first environment. That means faster iteration, deeper client collaboration, and new ways of thinking about what consulting looks like in the age of automation.

If you're wondering how to build an AI strategy that works in the real world—not just in pilot programs—this conversation offers grounded insights from inside one of the largest consulting organizations on the planet. It also raises a broader question that every leader should be asking: how do we make AI something that empowers, rather than replaces, the people at the heart of our businesses?

Listen in to learn how IBM Consulting is approaching the future—not as a trend to chase, but as a challenge to shape.

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?

In a financial world increasingly shaped by automation and machine learning, how can businesses stay one step ahead of AI-driven fraud?

In this episode of Consulting the Future, I sit down with Bradley Niedzielski, Audit and Assurance Partner for Digital Transformation at Deloitte, to explore how generative AI is transforming the fraud landscape and what that means for finance leaders. As synthetic identities, forged documents, and deepfake impersonations grow more convincing, traditional defenses are no longer enough.

Bradley draws on Deloitte’s research, revealing that AI-driven fraud in the United States could exceed 40 billion dollars by 2027. Over one in four organizations have already encountered deepfake fraud, yet only a small percentage place technology at the center of their defense strategy. We explore the reasons behind this disconnect and the urgent need to modernize fraud risk management.

From AI governance and scenario planning to embedding intelligent automation in core finance functions, Bradley offers a clear-eyed view of what’s changing, what’s at stake, and how businesses can adapt. He explains the role of agentic AI in automating end-to-end workflows, accelerating financial close processes, and freeing finance teams to focus on strategy. But with that acceleration comes risk, especially when poor data quality or blind trust in AI goes unchecked.

We also discuss how organizations can prepare their people for this shift. Upskilling, transparency, and cross-functional collaboration are no longer optional—they are essential to safely navigate an AI-powered future.

If your organization is experimenting with AI or already embedding it into finance operations, this conversation offers timely insights into managing risk, building resilience, and ensuring technology adoption aligns with long-term goals.

How does a firm with over a century of audit history stay ahead in a world shaped by exponential technologies? In this episode of Consulting the Future, we spotlight how EY is reinventing the audit profession from the inside out. Joining the conversation are Marc Jeschonneck, EY's Global Assurance Digital Leader, and Paul Goodhew, EY's Global Assurance Innovation and Emerging Technology Leader.

Recorded against the backdrop of rapid change in the assurance industry, this conversation unpacks the strategy behind EY’s $1 billion investment in audit technology. Marc and Paul offer a behind-the-scenes look at how EY is integrating AI, blockchain, and cloud-native tools to transform complex, high-volume audit processes into more streamlined, intelligent systems. Whether it’s using machine learning to surface anomalies or applying blockchain to verify digital asset transactions, the goal is clear: higher audit quality with greater efficiency and trust.

But innovation isn’t just a tech play—it’s also about people. The episode explores EY’s focus on user experience, microlearning, and its federated development model that empowers teams to build tools tailored to their specific needs. We also discuss how intuitive design is helping auditors embrace new systems faster, and why fostering a culture of continuous learning is key to keeping pace with technological disruption.

Looking ahead, Marc and Paul share how quantum computing, AI agents, and smart contracts could influence the next chapter of the profession. This episode offers valuable insights for anyone involved in risk, compliance, digital transformation, or professional services, providing a clear view of how large consultancies are adapting to—and shaping—the future.

Are traditional audit models compatible with tomorrow’s technology landscape? Tune in to find out, and join the conversation on what’s next for assurance in the digital age.