3086: Hyland’s Vision for AI-Driven Transformation: Unstructured Data in the Spotlight

In this special episode recorded live at Web Summit 2024, I’m joined by Mahe Bayireddi, the visionary CEO and co-founder of Phenom, a global leader in AI-powered talent experiences. As AI becomes a transformative force across industries, the HR sector is at a pivotal crossroads, and Phenom is leading the charge in redefining the future of talent management.  With a mission to help a billion people find the right work, Phenom’s innovative solutions are already benefiting companies like DHL, Kuehne+Nagel, and United Airlines, helping them hire faster, develop talent more effectively, and retain employees longer. In our conversation, Mahe shares his unique insights on navigating the rapidly evolving landscape of AI regulations, including the complexities of the National Privacy Bill and the EU AI Act. We discuss why understanding these regulations is crucial for companies before implementing AI solutions and how ethical considerations play a key role in shaping the future of AI in HR. Mahe dives deep into how Phenom’s award-winning GenAI solutions are driving efficiency, productivity, and employee satisfaction while addressing the challenges of balancing automation with human oversight. We also explore Mahe’s vision for the future of HR and the role AI will play in creating more personalized, data-driven talent experiences. What does the rise of GenAI mean for HR professionals, and how can organizations adapt to these changes while remaining compliant? Join us for a thought-provoking discussion on the future of AI in HR, the regulatory hurdles ahead, and how companies can embrace this technology responsibly. Tune in for an insightful conversation that explores the intersection of AI, regulation, and the evolving world of work. What are your thoughts on the balance between innovation and compliance in the age of AI? Share your perspectives, and don’t miss the latest from Web Summit 2024. Useful Links www.phenom.com www.iamphenom.com

In this episode, I’m joined by Jitesh Ghai, CEO of Hyland, to discuss the pressing yet often overlooked issue: unstructured data and its potential to redefine AI strategies. As enterprises increasingly prioritize AI, unstructured data—like documents, videos, and images—remains a largely untapped resource, despite making up about 80-85% of enterprise data. We explore why this data holds untold potential and how Hyland aims to unlock this through their newly launched Content Innovation Cloud. Jitesh shares insights on why organizations should look beyond conventional data lakes and warehouses, shifting focus towards content repositories. This approach enables companies to harness large language models to extract insights and accelerate innovation. We also discuss Hyland's role as a long-standing leader in enterprise content management, trusted by over 14,000 customers worldwide. With a vision to drive AI-driven transformation, Hyland’s platform goes beyond simple automation to offer a unique mix of content intelligence, process intelligence, and application intelligence. Jitesh provides a preview of Hyland’s AI strategy, highlighting their rapid development cycle, where new capabilities are delivered in months rather than years. We explore how leveraging customers’ data assets can serve as a powerful tool in developing advanced AI features, while balancing the pace of innovation with real-world practicality. If you’ve been considering how to effectively integrate AI into your enterprise and harness the power of your existing content, this episode offers a fresh perspective on the opportunities and strategies that can make it possible. Are you ready to rethink your approach to unstructured data and unlock its full potential? Tune in, and let’s see where it takes us. What do you think? Could unstructured data be the missing piece in your AI strategy? Share your thoughts with us after listening!

In this episode of Tech Talks Daily, I’m joined by Tanvir Khan, Executive Vice President at NTT Data, to explore the cutting-edge technologies shaping the future of business. With a focus on Generative AI, cybersecurity, and the evolution of digital workplaces, Tanvir shares insights from NTT Data’s approach to driving industry innovation and tackling complex challenges. We begin with a deep dive into the world of Generative AI, discussing how this transformative technology is already making waves in industries from finance to healthcare. Tanvir explains why large-scale experimentation and empowering employees are key strategies for unlocking AI’s potential. We also consider the broader implications of AI, including its ability to enhance—rather than replace—human expertise, particularly in fields like risk management and regulatory compliance. The conversation shifts to cybersecurity in the AI era, where Tanvir outlines a holistic approach that includes strengthening perimeter defenses, minimizing damage through encryption, and building rapid recovery capabilities. With AI playing a dual role in both enhancing security and posing new threats, he emphasizes the importance of ongoing user training to mitigate human vulnerabilities. As we navigate the modern digital workplace, Tanvir discusses how the shift to hybrid work has redefined collaboration and productivity. We explore the blend of physical and virtual spaces, the need for proactive tech support, and the role of AI-driven tools in creating seamless experiences for employees. He shares how companies can harness Generative AI to support this hybrid model, driving efficiency while maintaining flexibility. Finally, we touch on NTT Data’s innovative strategies in financial services, including a recent partnership with Naehas to streamline personalized banking solutions. Tanvir highlights the growing need for integrated, AI-driven approaches in digital banking and how these solutions are transforming customer experiences. How can businesses effectively integrate AI into their strategies without overestimating its capabilities? What steps should companies take to protect against evolving cybersecurity threats? Tune in to hear Tanvir Khan’s expert insights and share your thoughts on the future of technology and digital transformation.

In today’s episode of Tech Talks Daily, we welcome Julia Fraser, Executive Vice President of the Americas at Sinch, a global leader in Communications Platform as a Service (CPaaS). Julia shares her expertise on the transformative power of RCS (Rich Communication Services), which is poised to become the default messaging standard by 2025. With enhanced branded capabilities, richer interactive features, and deep analytics, RCS is set to revolutionize how businesses connect with customers. Julia discusses how the upcoming iOS 18 launch is expected to be a game-changer, significantly broadening the reach of RCS and offering new opportunities for businesses to engage users with personalized, verified messaging. We dive into the business impact of RCS, exploring how it builds trust through brand verification, increases engagement with interactive features, and provides unparalleled metrics for businesses. Julia highlights successful case studies, like a French food retailer that saw a 42% boost in engagement using RCS, and explains why companies should prepare now to integrate this technology into their broader customer engagement strategies. Beyond technology, we explore Julia’s insights on holiday season trends, including early campaign starts and the rise of MMS as a stepping stone to full RCS adoption. She offers predictions for Black Friday and Cyber Monday, providing valuable tips on maximizing customer interactions through an omnichannel approach. We also discuss leadership and diversity in tech, where Julia shares her journey as a female leader in a male-dominated industry. She discusses the importance of mentorship, the role of Employee Resource Groups (ERGs), and Sinch’s commitment to building an inclusive workplace. With a focus on fostering a culture of continuous learning and listening, Julia’s leadership philosophy offers valuable advice for aspiring leaders in tech. How will RCS redefine business messaging, and what strategies should companies adopt to stay ahead of the curve? Tune in to find out, and share your thoughts on the future of customer communication.

  What does it mean to be an "everyday influencer" in a world driven by content and social media? On today’s episode of Tech Talks Daily, we’re joined by Sean O’Brien, CTO and co-founder of Mavely. The company is transforming how creators, big and small, connect with brands and monetize their online presence. While many platforms cater to top-tier influencers, Mavely’s unique approach is empowering the next wave of creators—everyday individuals who are driving engagement with authentic, relatable content. We explore how Mavely is helping more than 70,000 creators monetize their followings through partnerships with over 1,000 retailers, delivering a full spectrum of earning opportunities beyond the traditional brand campaigns. Sean shares how Mavely’s creator-first philosophy offers tools and features designed to enhance the user experience and maximize revenue, with a strong emphasis on data analytics. He explains how a focus on personalized recommendations and tailored content strategies allows both creators and brands to thrive, optimizing each touchpoint from discovery to conversion. Sean also dives into the shifting dynamics of social commerce, especially as Gen Z shoppers demand more genuine interactions and multiple engagements before making a purchase. He discusses how Mavely’s recent upgrades, including LinkedIn integration for B2B creators and the "Button" feature for enhanced Instagram engagement, are meeting these expectations.  Additionally, we examine the platform’s innovative approach to data-driven strategies, providing insights that help creators choose what to promote and when, while brands gain visibility on ROI like never before. As we navigate the future of influencer marketing, Sean highlights trends shaping the industry, including the rise of "faceless creators," the growing need for seamless, cross-platform integration, and the importance of robust attribution technologies.  So, how is Mavely empowering real people to become powerful partners for brands, and what lies ahead for the creator economy? Tune in to find out, and don’t forget to share your thoughts on whether you believe everyday influencers could be the key to the future of social commerce.

In this episode of Tech Talks Daily, I speak with Annette Taylor,  an evolutionary psychology researcher with a unique perspective on the relationship between our ancestral roots and modern technology. Annette, a former IT professional, delves into the heart of what she calls the "Cavedweller's POV" to explore how our Stone Age minds struggle to adapt to the rapid pace of technological advancements. Is our obsession with efficiency at odds with our innate need for creativity and connection, or are we simply adapting ancient survival strategies to a new digital world? Annette outlines three key stages of human history—tree dwellers, cave dwellers, and modern house dwellers—and discusses how our biological instincts, shaped thousands of years ago, still govern much of our behavior today. We discuss how our brains are wired for face-to-face interactions, making the loss of non-verbal cues in digital communication problematic. The implications for our relationships, decision-making, and even mental health are profound, with Annette highlighting how our reliance on digital tools may leave us feeling disconnected and less fulfilled. We also dive into the challenge of integrating AI into our lives. Annette shares her thoughts on the psychological impact of AI taking over tasks that once provided us with a sense of purpose. Drawing from her own research, she suggests that our need for a sense of belonging, honed during our time as small, cooperative groups, is threatened by an increasing reliance on technology. Are we unknowingly trading our innate creativity and connection for the comfort of efficiency? Annette offers a refreshing take on how self-awareness and understanding our evolutionary psychology can help us navigate the complexities of our tech-saturated world. Instead of merely reacting to technology, she suggests we need to "relearn" our biology to make more informed choices about how we use it. By revisiting our past, can we better understand the present and make smarter decisions for our future? Join me as we explore whether our ancient instincts are clashing with modern tech or if we can harness these old survival mechanisms in new, more mindful ways. What can our inner cave dweller teach us about thriving in the digital age? And are we ready to embrace a slower, more thoughtful approach to technology use? Tune in to find out, and don’t forget to share your thoughts on this thought-provoking discussion.

In this episode of the Tech Talks Daily Podcast, we are live at VMware Explore in Barcelona, diving into the future of digital innovation in education with Keith Woolley, Chief Digital Information Officer at the University of Bristol. As one of the top 100 universities globally, Bristol is renowned for its cutting-edge research and tech-forward approach. Keith shares how the university harnesses VMware’s solutions to create a boundaryless, digital-first campus that enhances both research and educational experiences. Keith discusses the complex technology ecosystem at Bristol, from virtualization tools and high-performance computing to a groundbreaking reality emulator used for digital twinning. He also explains the university’s strategic journey with VMware, highlighting how they’ve built a flexible infrastructure that supports diverse research needs while managing costs effectively. Keith’s insights reveal the shift towards on-premises private cloud solutions, driven by AI, data sovereignty, and the evolving demands of modern research institutions. We explore the challenges and opportunities of integrating advanced AI capabilities, including the recent launch of the UK’s fastest supercomputer at the University of Bristol. Keith offers a behind-the-scenes look at how this state-of-the-art supercomputer is set to transform AI research and applications, paving the way for groundbreaking advancements in fields like biotechnology and sensory technology. Finally, Keith shares his forward-thinking vision for the university in 2045, touching on the relevance of higher education in an AI-driven world and the importance of embedding AI into the curriculum. He discusses how the university is working with students to address concerns around generative AI, bias, and equity, ensuring that AI is used as a tool for learning rather than a shortcut. Tune in to hear how the University of Bristol is redefining the digital campus and leading the way in tech-enabled education, research, and innovation. Could the future of education lie in a hybrid cloud approach that bridges the physical and digital worlds? Listen now and join the conversation on what lies ahead for universities and their role in a rapidly evolving tech landscape.  

In today’s episode, recorded live from VMware Explore in Barcelona, I sit down with Chris Wolf, Global Head of AI and Advanced Services at VMware Cloud Foundation, Broadcom. Chris offers a front-row view of how VMware is leading the charge in transforming private AI solutions to meet the evolving needs of businesses across industries. As the conversation unfolds, Chris provides insight into the core principles behind private AI and explains why privacy, security, and control over data are critical for businesses looking to unlock AI’s full potential without compromising compliance. Chris shares real-world examples of how enterprises—from contact centers to police departments—are leveraging private AI to drive efficiency, improve customer experience, and streamline processes. He emphasizes how VMware’s AI solutions enable organizations to keep sensitive data on-premises, thus avoiding risks like data leakage and unauthorized model training. Through platforms like VMware’s Private Foundation with Nvidia and new support for Intel Gaudi 3 accelerators, organizations can now customize and control their AI infrastructure more effectively than ever before. We also explore the future of enterprise AI, touching on agentic AI and how sophisticated AI agents are poised to reshape large-scale business operations. Chris provides a compelling look at how private AI can optimize resources and simplify workflows by offering modular, flexible solutions that don’t lock businesses into any single service provider. Whether you're considering AI adoption or looking for ways to deepen its impact within your organization, this episode delves into VMware’s approach to balancing AI innovation with robust privacy protections. As we look toward 2025, Chris outlines the emerging trends and hybrid AI models set to redefine enterprise strategies. So, how can your organization harness private AI to stay agile and secure in a rapidly evolving digital landscape? Tune in to discover how VMware is shaping the future of AI in business.

What does the future of beauty look like when powered by cutting-edge technology? In this episode, we welcome Guive Balooch, the driving force behind L'Oréal’s Beauty Tech division, to explore how advancements in AI, AR, and personalization are reshaping the beauty industry. Over the past 15 years, L'Oréal has transformed how consumers engage with beauty products by pioneering tools like AI-powered skincare recommendations, virtual try-on for makeup, and precision diagnostics, all of which create a highly tailored experience for users. Guive reveals how inclusivity and accessibility are guiding L'Oréal’s tech innovations. One example is HAPTA, a robotic lipstick applicator developed in partnership with Verily, designed specifically for those with limited hand mobility. This dedication to inclusivity extends to ensuring diagnostic tools are effective across all skin tones, rigorously tested in over 15 countries. Sustainability is equally integral to L'Oréal's Beauty Tech mission. Guive shares insights into eco-conscious designs, like the Color Sonic device, which reduces plastic usage by 60%, and collaborations such as Gjosa, a water-saving technology aimed at minimizing water consumption in salons. As we look ahead, Guive discusses exciting possibilities, from biomarker-driven skincare and AI-enabled precision tools to the concept of electronic makeup. L'Oréal’s vision for the future is clear: create technology that not only enhances beauty experiences but also makes them more accessible, sustainable, and personalized. How will tech continue to transform the beauty industry, and what innovations can we expect in the years to come? Tune in to hear Guive’s insights and join the conversation on how technology can redefine beauty for all.

With AI fundamentally reshaping the cloud, what does this mean for the future of security?  In this episode, Nataraj Nagaratnam, CTO of Cloud Security at IBM, joins us to dive into the evolving dynamics of cloud security in the age of AI. As organizations integrate AI into their cloud environments, the traditional lines of responsibility for security are being redrawn, raising new questions about who safeguards what and how emerging risks are addressed. Nataraj unpacks how AI-generated code is introducing unique vulnerabilities, with recent studies highlighting that nearly half of organizations are concerned about the security risks posed by AI-driven development. My guest explains how the complex, multilayered enterprise AI stack—from applications and models to data and infrastructure—requires a nuanced, data-centric approach to security. This approach includes assessing data sensitivity, managing keys, and implementing tailored controls, especially as unstructured data and machine learning models bring fresh security challenges. The shared responsibility model is also undergoing a transformation, with Nataraj outlining a shift from a simple customer-provider dynamic to one that includes AI model providers and data lineage. With industries like healthcare and finance running critical systems in the cloud, regulatory frameworks are tightening, and transparency in model development and data lineage is increasingly emphasized. Nataraj explores how IBM is working to normalize these controls across sectors, enabling compliance and resilience in a diverse range of cloud environments. Automation emerges as a cornerstone of Nataraj’s strategy, helping organizations maintain secure, compliant cloud environments in both deployment and operations. He illustrates a dual-phase approach—automation for initial secure deployments and ongoing compliance monitoring—to ensure that security remains robust as systems evolve. Finally, we discuss the future of cloud security, including the need for AI governance, third-party risk management, and transparency in model use, all critical as the AI-driven Supercycle unfolds. What will the future of cloud security look like as AI becomes an integral part of our digital infrastructure? Tune in to explore Nataraj’s vision and strategies, and join the conversation—how is your organization preparing for the new era of AI and cloud security?