Richard Ellis joins the show to cut through the noise surrounding AI and digital transformation. We discuss the real state of AI adoption, what organizations must do to get data-ready, and how leaders can measure ROI amid rapid change. Richard also breaks down the rising challenges in cybersecurity, data privacy, and workforce skills as businesses adapt to the next era of intelligent technology.

Guest

Richard Ellis is a seasoned technology executive and digital transformation strategist with more than two decades of experience guiding global organizations through the evolving landscape of AI, data management, and cybersecurity. Known for his ability to translate complex technologies into practical business value, Richard has led large-scale innovation initiatives across multiple industries, helping companies modernize their systems, strengthen data readiness, and adopt emerging tools responsibly.

His expertise spans enterprise AI deployment, cloud modernization, information governance, and risk management—making him a trusted advisor to senior leaders navigating high-stakes technological change. Richard is also a frequent speaker and educator on the future of work, digital ethics, and the organizational capabilities required to succeed in a rapidly shifting digital economy.

Learn more about Richard:

• LinkedIn profile
• AnswerDigital.com

What You'll Learn

• The hype surrounding AI is real, but understanding its use cases is crucial.
• Organizations are in a testing phase for AI adoption.
• Data readiness is a significant barrier to AI implementation.
• User education is essential for realizing AI's potential benefits.
• Cybersecurity concerns must be addressed when using AI tools.
• Companies need to establish clear data privacy policies.
• Legal implications of AI use are still being defined.
• Measuring ROI on AI investments requires a cautious approach.
• Small businesses can be more agile in adopting AI compared to larger enterprises.
• Future skills should focus on understanding and leveraging AI technology.

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