Between Worlds

I recently caught up for a morning coffee with Charles Sansbury, CEO of Cloudera. We spoke about how AI is changing how leaders view data infrastructure and the significance of organizations capable of operating at exascale. Charles shared how his conversations with Fortune 50 companies have shifted from theoretical AI applications to practical concerns about return on investment, data quality, and infrastructure. A key part of this transition is the emerging trend of ‘private AI’ - targeted models trained on proprietary company data.

For Tom Chatfield, a British technology philosopher and author, there is nothing inevitable about technological progress. In his latest book, ‘Wise Animals: How Technology Has Made Us What We Are’ he explores how humans have co-evolved with technology throughout history. In our discussion, Tom deconstructed the common narrative of technological inevitability, using examples like the Incas' use of wheels only as toys and the complex history of Gutenberg's printing press to illustrate how technological adoption is deeply intertwined with cultural values and societal choices rather than following a predetermined path.

On a recent trip to Toronto, I caught up with Yao Morin, the global CTO of JLL, a commercial real estate company. We discussed JLL's early adoption of generative AI technology, despite the real estate industry's traditionally conservative approach to new technologies. Yao explained how JLL has implemented AI tools like JLLGPT to process vast amounts of unstructured data in multiple languages, making it easier for employees to access and utilize information from contracts, research reports, and other documents.

Ahead of the London Frieze Art Fair, I spoke with one of the world’s most fascinating artists, Von Wolfe, who for a number of years now has explored the intersection of art, technology, and artificial intelligence. As we sat in his studio in front of an oversized oil canvas and a sophisticated technology stack, Von Wolfe shared with me his unique approach to using machine learning and generative AI to create art. Our conversation delved into the history of art, from Renaissance masters to contemporary AI-powered creations, drawing parallels between traditional artistic methods and modern technological approaches.

Tim Fu, founder of Studio Tim Fu, is one of the world’s leading experts in leveraging AI in architecture and construction. Fu established his practice in 2023 after working at Zaha Hadid Architects, and now heads a diverse team of architects and technologists, creating innovative workflows and designs that embrace AI's transformative power in architectural practice. Most recently, he was chosen to be a collaborating artist with OpenAI's new Sora generative AI platform.

How will AI change jobs? There are a lot of theories, and as of yet, scant conclusive evidence. However, if you did have to pick a 'canary in a coal mine' to understand the impact of generative AI on the future of work, one place to start would be the global freelance workforce. To understand how  machine intelligence might be influencing how freelancers get things done, I spoke with Matt Barrie, CEO of Freelancer.com, one of the world's leading online job marketplaces.

We are familiar with the rise of AI generated art, but what impact will these emerging technologies having on more traditional forms of artistic expression? To explore that question, I spoke with Virginia Damtsa, a renowned curator of contemporary art, who has worked with everyone from Peter Gabriel to Ai Weiwei, Cornelia Parker, Olafur Eliasson, Annette Messager and others.

On a recent visit to Barcelona, I sat down with Marco Bertini, one of the world’s foremost experts on dynamic pricing. Bertini is a professor of marketing at Esade University and the author of the book, ‘The Ends Game: How Smart Companies Stop Selling Products and Start Delivering Value,’ which examines how technology and society stimulate accountability, prompting companies to profit from the outcomes they deliver rather than the offerings they bring to market.

Ben Waber is one of the world’s leading experts on people analytics and organizational culture. He is the founder of Humanyze and a professor at MIT. We caught up in Tokyo to discuss the future of work and the impact of large language models (LLMs) on productivity.

I sat down with Pierre-Yves Calloc'h, Chief Digital Officer at Pernod Ricard, to discuss the company's journey in embracing AI, algorithms and automation to drive marketing effectiveness, sales performance, and consumer engagement. Pernod Ricard, known for its extensive portfolio of brands such as Absolut Vodka, Jameson, and Ballantine's, has been at the forefront of leveraging AI to make data-driven decisions and personalize consumer experiences.

Byron Reese, an acclaimed author, futurist, and entrepreneur shares his insights on the concept of ‘Agora’, a superorganism formed by the collective interactions of human beings. Drawing parallels complex adaptive systems like beehives, Reese argues that just as individual bees come together to create an entirely new organism with emergent properties, humans too form a higher-order entity through their differentiated roles and interactions.

What are the new challenges that generative AI is creating for copyright law? In this episode, I speak with Matt Hervey, the head of AI law at Gowling, to explore the legal intricacies surrounding the creation of content and ideas by large language models. In our discussion, Matt sheds light on the complex landscape of AI ownership, highlighting the differences in legal frameworks across various jurisdictions, such as the UK, EU, and US.

Mikko Hyppönen is a renowned Finnish cybersecurity expert and the Chief Research Officer at WithSecure. In our discussion, we delved into the rapidly evolving landscape of cybersecurity threats, particularly focusing on the impact of artificial intelligence and large language models

Dave Johnson is Chief Data and Artificial Intelligence Officer at Moderna, where he is responsible for all enterprise data capabilities from data engineering, data integration, data science, and software engineering. Johnson holds a PhD in Information Physics and has over 15 years of experience in software engineering and data science. He has spent more than a decade working exclusively in enterprise pharma and biotech companies.

- What if within the span of the next decade, we could live for an additional ten years or more? A hundred years ago, advances in infection control and public health led to a near doubling of the human life span. For us to achieve a similar feat today, we will need more than just scientific breakthroughs. Despite the rise of AI, powerful computation platforms and new discoveries in genomics, there is still a gap between everyday medical practice and technological innovation.

Brian Christian is one of my favorite writers on AI, with a unique perspective that is very much at the intersection of computer science and philosophy. He is the author of the acclaimed bestsellers ‘The Most Human Human’ and ‘Algorithms To Live By’, which have been translated into nineteen languages. A visiting scholar at the University of California, Berkeley, he lives in San Francisco. His latest book, and the subject of this interview, is ‘The Alignment Problem’.

A US election is far more than just a struggle for the most powerful job in the world, they also provide a glimpse into consumer attitudes and emerging technologies designed to influence opinion. It was during the 2012 US election, for instance, that social media, online data and e-commerce profiling was leveraged for the first time to create a hyper-targeted, digital political campaign, that ultimately swept the Democrats into power. My guest this week, Harper Reed, was intimately involved in that strategy, having served as CTO of the Obama 2012 campaign, where he was the first to bring the mentality and connective capabilities of the tech industry to the political stage.

Despite all the talk about fintech disruption - banking, finance, and payments remain highly regulated industries with well-established competitors who are not standing still - even in this moment of rapid change and digital reinvention. Mastercard is one such company. They created Mastercard Labs as a way of co-creating and innovating with their customers. The idea was to turn external signals into opportunities, and in' doing so, de-risk' them for their clients and for the rest of the organization. So, for example, they are working on quantum computing with IBM. They have established their own proprietary blockchain and several AI projects and were behind the Apple Card's tokenization, which allowed it to work without the standard 16 digits. To learn more about how Mastercard manages their innovation portfolio, I spoke with Ken Moore, who is the Chief Innovation Officer at Mastercard and also Head of Mastercard Labs. Ken is responsible for the company's R&D initiatives globally. Prior to joining Mastercar

This new age of smart machines will still need humans - but arguably, they will need to be ones who can think, create and make decisions in very different ways than the workforce of today. As with the first Industrial Revolution, reinventing education will be a priority going forward, especially if we are to survive the automation-led shakeup to jobs. To find out what it might take to transform schools and learning, I spoke with Dr. Shawn K. Smith , an education futurist and chief executive officer of Modern Teacher. Shawn also sits on the board of The Futures Institute, an organization dedicated to providing global insights on complex local problems.

Professor Tim Tangherlini calls himself a computational folklorist. Like many fields of research lately, folklore is a field where both the tools and objects of study are being profoundly reimagined by AI. I came across Professor Tangherlini's work after reading a research paper that he and his team published on using AI to study the structure and dissemination of conspiracy theories. Their research points the way to strategies that might defeat fake news by explaining how the elements of a conspiracy narrative come together and how they can also quickly fragment if some key parts are removed or challenged.