3363: ABB on Building a Smarter and More Resilient Power Grid

When we think about gene editing, the conversation often feels trapped between scientific journals and ethical debates too complex for public forums. In this episode, I spoke with Neal Baer, a rare voice who bridges both worlds. Known to many as an award-winning television showrunner for series like ER, Law & Order SVU, and Designated Survivor, Neal is also a Harvard-trained physician and co-director of the Media, Medicine, and Health program at Harvard Medical School. His latest project brings all of that experience together in a new collection of essays that explores the promise and peril of CRISPR gene-editing technology. Neal takes us on a journey that begins with his time as a medical resident treating a young sickle cell patient, and leads to a much broader conversation about science, ethics, and storytelling. We discuss how CRISPR is already being used to cure diseases like sickle cell, and how companies are now exploring gene edits that promise permanent reductions in cholesterol. But the real power of this discussion is not just in what CRISPR can do, but in what we still don’t fully understand about its long-term impact. The conversation moves into difficult territory—unintended mutations, germline editing, the risk of pathologizing human diversity, and the slippery slope of “enhancement” where only those with access can benefit. Neal raises critical questions about the social cost of deciding which conditions should be “fixed” and who gets to make that call. We also dive into the lack of political and regulatory oversight, and why a global framework, not just scientific advancement, is urgently needed. This episode offers a powerful reminder that the future of CRISPR shouldn’t be left solely to researchers or startups. It demands wide engagement, from classrooms to policymaking, and inclusive voices that challenge how we define progress. How should we decide what counts as improvement when the very definition of being human is at stake?

In this episode of Tech Talks Daily, I welcomed back Sumit Johar, CIO at BlackLine, for a timely conversation about how AI is transforming finance operations from the inside out. When we last spoke earlier this year, AI was still in the early stages of enterprise experimentation. Just a few months later, everything has shifted. Sumit shared how AI has moved well beyond pilot programs and into a space where business leaders themselves are actively requesting implementations. What stood out in our conversation was how this change has reshaped the relationship between CIOs and CFOs. The skepticism is fading, and a stronger sense of collaboration is emerging as both sides work together to drive transformation, align strategies, and reimagine outcomes. We explored the growing need for CIOs to be “multilingual”—not in the linguistic sense, but in their ability to navigate both technology and business. It’s no longer enough to speak in code or technical jargon. CIOs must understand finance workflows, end-to-end processes, and the operational pressures CFOs face every day. This alignment is critical when evaluating how and where to deploy AI. Sumit also unpacked some of the core challenges around AI integration, including data quality, long-term sustainability, security, and ethical use. Unlike previous SaaS waves, AI adoption carries more complex risk vectors. Demos might impress, but real-world deployments demand rigorous controls, responsible governance, and the right culture. The conversation covered the ongoing build versus buy dilemma, why it’s context-specific, and how BlackLine approaches those decisions with long-term scalability in mind. Sumit also shared how internal councils and cross-functional collaboration have helped guide AI strategy across the organization. If you’re leading digital transformation or building the next phase of AI integration in your finance or IT teams, this episode offers clear, experience-driven insights. What’s your organization doing to prepare for AI not as a concept, but as a day-to-day operational reality?

In this episode of Tech Talks Daily, I sat down with Boris Bialek, VP and Field CTO at MongoDB, for a conversation that moved well beyond databases. As AI continues to accelerate across sectors, MongoDB is positioning itself at the intersection of modern data architecture and intelligent application development. Boris shared how his team is simplifying AI adoption for enterprises, with a clear focus on real-world outcomes, developer productivity, and global inclusion. We began by exploring MongoDB’s recent acquisition of Voyage AI. This move extends MongoDB's native capabilities into vector search, embeddings, and re-rankers, allowing developers to build AI-powered applications more efficiently. Boris explained how MongoDB is removing the complexity from AI integration by providing a unified API, collapsing what used to be 18 disconnected tools into a streamlined developer experience. But the discussion wasn’t just about technology. Boris brought a passionate focus to the issue of financial inclusion. We talked about how AI can enable alternative credit scoring for the 27 percent of adults globally who remain unbanked. By analyzing behavioral signals such as mobile payment histories or utility data, AI can help unlock microcredit opportunities for individuals and small businesses in underserved regions. Boris shared use cases from PicPay in Brazil, M-Pesa in Africa, and Proxtera in Singapore, each demonstrating how AI and MongoDB are enabling new forms of digital trust. We also tackled the organizational and technical hurdles to enterprise AI adoption. From fears about hallucinations to managing constant model updates, Boris described how MongoDB is building systems that prioritize transparency, auditability, and scale. With its document model and integrated tooling, MongoDB offers a stable foundation for companies navigating fast-moving AI transformations. For developers, the platform now includes learnmongodb.com and quick-skill badges designed to make AI approachable and hands-on. And with the upcoming release of Boris’s new book, there’s more to come on how businesses can move from pilot experiments to production-grade solutions. How is your organization rethinking its data strategy to make AI work at scale?

When we think about innovation in technology, power grids rarely enter the spotlight. Yet, they are the foundation for everything from artificial intelligence to electric vehicles and data centers. In this episode, I spoke with Adrian Guggisberg, President of the Smart Power Division at ABB, to unpack the evolving role of electrical power distribution in a world shifting rapidly toward digital infrastructure and clean energy. Adrian joined me from Zurich to share how ABB is helping grid operators navigate an increasingly complex landscape. With rising pressure from extreme weather, surging energy demand, and growing decentralization of power sources, the traditional grid model is being challenged on multiple fronts. We explored recent high-profile outages like the Heathrow disruption and the cascading blackouts in Spain and Portugal, and what these incidents reveal about systemic vulnerabilities. What stood out was Adrian’s clear message that resilience is no longer optional. He walked me through how switchgear plays a vital role in controlling flow, isolating faults, and restoring power with precision. Rather than waiting for outages to happen, ABB is championing a smarter, decentralized approach that supports microgrids and localized decision-making. The transition to intelligent infrastructure requires investment, digital tools, and collaboration across public and private sectors. We also discussed the cultural and political shift required to truly modernize the grid. Adrian pointed out that while grid operators understand the urgency, public awareness and policymaker support will be key to driving progress. His optimism came through clearly, especially when he talked about ABB’s purpose in powering a more sustainable future. If energy is the backbone of society, then conversations like this are the starting point for building something stronger. What would a smarter grid mean for the communities and industries you serve?  

In a digital-first world where cybersecurity often dominates headlines, the conversation around physical security can sometimes feel like an afterthought. But what if technology could bring a new level of intelligence, proactivity, and efficiency to protecting real-world environments? In this episode, I sat down with Ryan Porter, co-founder and CEO of LVT, to learn how his team is reshaping physical security through innovation rooted in both technology and field experience. What began in Ryan’s garage as a way to monitor construction projects through live video has evolved into a powerful enterprise platform used by 30 of the Fortune 50. LVT provides mobile security units equipped with cameras, lights, solar power, and edge-based AI capabilities that don't just observe but actively deter criminal behavior. From parking lots to retail environments, and even the Super Bowl, LVT’s presence is being felt wherever safety is at risk. Our conversation uncovered how LVT’s approach differs from traditional reactive security models. Rather than reviewing footage after incidents happen, LVT creates controlled environments designed to prevent events before they occur. This shift toward deterrence, combined with a visible and multi-sensory presence, is producing measurable results. In cities like Paducah and Opelika, LVT’s Access Task Force program contributed to a ten percent reduction in citywide crime. We also explored how the company overcomes the challenges of deploying AI in environments with limited power and bandwidth. By running intelligent models on edge devices, LVT delivers real-time insights in places that lack the infrastructure for heavy cloud computing. The result is a system that delivers value instantly, improves business intelligence, and enhances community safety. This is not just about technology for its own sake. It is about building systems that serve people, keep environments secure, and foster collaboration between businesses, law enforcement, and local communities. How are you using technology to create safer, smarter spaces in the real world?

In today’s episode of Tech Talks Daily, I connected with Brittany Christenson, CEO of AidKit, to explore how cutting-edge technology is being used not to disrupt markets or chase margins, but to deliver real, measurable social impact. AidKit is a public benefit corporation building infrastructure that helps vulnerable communities access aid quickly, securely, and with dignity. While many tech conversations orbit around scale and efficiency, Brittany brings a different kind of energy, one grounded in values, user empathy, and purpose-built innovation. She shared how AidKit’s journey began as a nonprofit initiative during the pandemic, evolved into a for-profit startup to attract engineering talent, and most recently achieved B Corp certification, reinforcing its long-term commitment to balancing people, planet, and profit. We discussed what dignity and equity look like in real-world software experiences, and how user-centric design can transform burdensome forms and gatekeeping processes into streamlined, accessible interfaces that actually work for people in need. Aidkit doesn’t stop at technology. Their model also includes multilingual support, advisory councils made up of program beneficiaries, and robust fraud prevention tools that protect both funds and privacy. One of the standout takeaways was how Brittany views trust and transparency as core features, not afterthoughts. Governments rely on Aidkit to deliver programs with high stakes and public scrutiny, and that trust is earned through a combination of technical competence, clear communication, and reliable systems. AidKit is already supporting over 200 agencies and nonprofits, has processed more than half a million applications, and recently surpassed 330 million dollars in aid disbursements, including nine million dollars in a single week. This conversation is not just about scaling a social impact startup. It is about leading with conviction, refusing to compromise mission for growth, and using the best of what technology offers to serve communities with care. How can your tech strategy support social outcomes without losing sight of the people it's built for?

When we talk about the future of enterprise software, AI is front and center. But behind the buzzwords, real transformation is happening in how businesses plan, execute, and deliver professional services. In this episode, I sat down with Raju Malhotra, Chief Product and Technology Officer at Certinia, to explore how AI is shifting from theory to practice in high-scale environments. Certinia, a native ISV on Salesforce, is helping global tech and service firms like Cisco, Siemens, and PwC automate their services operations. With over two million users and six million active projects, the platform isn’t just adding AI for the sake of it. It’s embedding it directly into workflows to solve tangible business challenges. Raju shares a clear framework for understanding how different types of AI are being implemented. Predictive AI is already deeply integrated into enterprise processes. Generative AI is gaining traction for simplifying content and communication. Agentic AI, the most recent frontier, enables digital agents to complete complex tasks independently within enterprise guardrails. What stood out in our conversation was the emphasis on outcomes over features. Raju makes a compelling case for starting every technology decision by understanding the customer's goals. Certinia’s approach avoids chasing trends for the sake of headlines. Instead, the focus is on delivering results like improved margins, higher resource utilization, and smarter project delivery. We also discussed Certinia's early adoption of Salesforce’s Agent Force and how their team works closely with Salesforce engineering to align on AI strategy. Rebranding their ERP Cloud to Financial Management Cloud was another move that reflects their sharper focus on services-centric financials, rather than trying to be everything to everyone. There’s a clear message in this conversation. Innovation in AI must be matched with investment in performance, latency, scale, and user experience. For any tech leader navigating the AI landscape, Raju’s insights provide a grounded, real-world guide. How are you aligning your AI investments with measurable business outcomes?

In this episode of Tech Talks Daily, I had the opportunity to sit down with Amanda Hamilton, patron and director at the National Association of Licensed Paralegals (NALP). While many of our discussions often focus on cutting-edge technology and digital transformation, today’s conversation tackled a very different kind of disruption, one happening quietly in the legal industry. The legal landscape in the UK has shifted dramatically over the last decade, particularly following the 2013 legal aid cuts. This policy change left many without affordable access to legal representation. Amanda walks us through how the paralegal profession stepped in to fill that gap, providing legal support at lower costs while still maintaining high standards of professionalism and care. What stood out was how NALP functions as a voluntary regulatory body, offering credibility and structure to a sector that otherwise lacks statutory regulation. We also explore how AI and digital tools are reshaping legal work. Amanda offers a grounded view on where technology helps and where it still cannot replace human expertise. From virtual hearings during the pandemic to the efficiency gains through email and digital collaboration, the legal profession is gradually adapting. Amanda stresses the importance of using technology thoughtfully, especially in situations where personal judgment and contextual understanding are critical. Another important theme was transparency and trust. The National Paralegal Register is a public tool that allows individuals and employers to verify the qualifications and membership levels of licensed paralegals. Amanda believes this kind of openness is vital to building awareness and confidence in the services paralegals can offer. So, whether you're exploring legal tech, building new professional services, or facing legal challenges yourself, this conversation sheds light on the growing role of paralegals in today’s evolving legal system. How is your industry approaching transparency, training, and the impact of emerging technologies?

What if the average UK tech worker could reclaim almost an entire workday each week without extra hours simply by harnessing AI tools like ChatGPT and robotic process automation more effectively? In this episode, I sit down with Oliver Latham from Pearson’s Enterprise Learning and Skills division, to unpack research revealing how intelligent automation frees tech professionals from repetitive tasks and opens space for creative strategic collaboration. Instead of fuelling fears of mass job losses, the data reveals a more optimistic human‑centred view of how AI will reshape roles, reshuffling responsibilities rather than replacing people. Oliver and I discuss which tasks are most ripe for automation, for example code refactoring to backup procedures, and how that shift could alleviate the UK’s tech skills shortage by letting workers focus on high impact projects. We weigh potential challenges too and note that organisations will need to rethink job design, invest in upskilling power skills such as communication and learning agility and build a culture of continuous development. As we look ahead we explore how large language models and robotic process automation differ in their impact across roles, why learning cultures must evolve to deliver micro learning at the point of need alongside robust credentials and how teams can reorganise around a new division of labour that includes both human and AI agents. Oliver offers practical advice for tech leaders wondering where to start and how to maintain agility as change accelerates. If you’ve ever felt overwhelmed by AI hype or are curious how automation could give you back precious hours each week, this conversation offers fresh perspectives on AI’s real value in tech. How would you redesign your job if you had an extra day each week, what would you stop doing and what would you start? 

What if the biggest leap forward for small businesses wasn’t about selling more, but reclaiming time? In this episode of Tech Talks Daily, I sit down with John Waldmann, CEO and co-founder of Homebase, to unpack how AI isn’t just a Silicon Valley toy for large enterprises but a lifeline for the millions of small businesses keeping local economies afloat. John explains how Homebase’s newly launched AI Assistants are transforming everyday operations, automating hiring, scheduling, and admin tasks that once drained hours from already stretched owners and managers. But this is more than a tech play. John shares why he’s spent his career championing small business owners, and how Homebase is designed with them, not just for them. We explore how generative AI and real-time personalization are lowering the barrier of entry to entrepreneurship, and why small businesses might actually be outpacing the big players in adopting AI with creativity and speed. From the realities of running a restaurant to designing software that respects the nuances of hourly work, John’s perspective offers a refreshing reminder that the goal of AI isn’t to replace people. It is to give them more space to do what makes their business special. Could AI finally tilt the playing field in favour of small businesses? And are we doing enough to ensure that human-first values stay at the centre of this technological shift? Listen in, then let us know how you see AI transforming the small business landscape in your world.