Tom Goodwin

AI is such a profound and exciting toolkit of technologies that it’s easy to use it wrong. Rather than take our existing roles, business models, structures, workflows and lubricate them with what AI allows, we need to rethink what we make and do, how we do it, and in some cases the business models we’ve used and the underlying assumptions. Technology is always a lever to do more and AI offers a suite of benefits, from automation, to better and deeper understanding, to improved products and services, to leapfrogs in productivity.

We look to explore questions like:

• What can tech do to make things easier? How should it be used?
• How does AI change the way customers and consumers behave, what new threats and opportunities does this create?
• What can you do that you did not do before, because it was too slow, hard, expensive?
• What can tech make you do better with the same effort?
• What new structures and workflows make sense?
• What can you now get people to do more of?
• What tools should you use?
• How can AI change the way you train talent?
• What domains are priorities for AI?
• What should be ignored
• How can next Gen AI tools fit with exiting tech structure and workflows?

Above all else, AI can now be used to accomplish things we’re not possible before, we help ideate new products, services and offerings around this.

What would your company look like if you started it today?

There are a handful of new technologies that change how we think and are so profound we shouldn’t add them to what we do, instead we should rethink what we do and how, around them.

AI is the hot new thing and it’s likely to be used poorly for years. It will be first used to lubricate old processes, to speed up things that shouldn’t even be done. It will be applied at the edge of a company in select places and to do small tactical things. It will end up changing little and feeling like a gimmick. It could be used to save money doing things badly, rather than accomplishing more and delighting customers and employees alike.

The key to technology is never what it it, but how deeply it’s applied, how well integrated it is. Generative AI has huge implications on data strategy be, on workflows, on company structure, on and which products, services, or experiences you would make and how you would monetize them. We need to use AI in bold, ambitious and empathetic ways to rethink our core business proposition.

In his ongoing research on the world’s most innovative companies, This is a clear and concise presentation looking at the ways in which businesses can put new technology at the heart of their business and unleash the power of the new for an era with radically different customer expectations.

Technology has profound implications for many markets; it changes the paradigms upon which financial products, experiences, and regulations have been based, alters our perception of competitive threats, and it transforms our understanding of consumer behaviors. It also opens up radically new possibilities for the years ahead and a range of opportunities to tap into now.

From insurance to lending to digital wallets and beyond, players across all aspects of finance are set to be transformed by new technology, an altered regulation, and a range of new consumer behaviors. Goodwin covers how trends such as API-based thinking, blockchain, emerging tech, and the no-code movement are shaping your future, what your strengths are in the current landscape, and what can be done to increase your impact.happens if we were to rethink advertising for the modern age? For a start many of the assumptions of the past are no longer true, and many myths surround us.

This presentation provides a comprehensive look at the altered retail environment of the post-pandemic world. It focuses on new consumer behaviors and new business models that are here today and highlights key trends for the medium-term future.

This is an entertaining and inspiring deep dive into what matters most in the world of retail. Themes explored can include \ disintermediation, shoppable media, personalization, influencer commerce, the implications of voice interfaces and automation, and more, depending on specific needs.

What happens when we build with more ambition , more empathy and more imagination for greater future growth.