Blog

87% of AI projects fail, and Brian Evergreen has been researching why and incubating solutions for almost a decade, across 2 positions in AI at Microsoft and researching/writing his award-winning book, Autonomous Transformation. The biggest reasons have to do with science, decisions, and people.

In this engaging and insightful session, we'll go beyond the hype and explore real- world case studies that reveal how leading enterprises overcome the most critical barriers to scaling AI across their enterprise and products.

This session highlights critical future trends that will reshape software engineering by 2030. Software engineers and heads of software engineering can use this foresight to lead their organizations through the disruption rather than be a victim of it.

Over the next few weeks we're going to be highlighting AI authors who are speaking at The Artificial UnIntelligence Conference. We start today with author Noelle Russell.

In this session, let us look at Finance use cases using multi-agentic systems for hyper personalization, Financial guidance on retirement and taxation and RM advisory process augmentation.

Reflective Intelligence is powered by a mathematical framework that tracks how small changes ripple through complex systems. This allows AI to explain its decisions, stay consistent over time, and work better with humans and other agents.

As an anthro-technologist, I'll explore why the so-called "smart revolution" may not be so brilliant after all, and how we've unwittingly traded our social contracts for the convenience of big tech. Should we be preparing for a digital apocalypse—or is it already here? The IoT and AI Tech Nobody Asked For but Cybercriminals Love!

Through trial and error in daily work at Canva, CJ has learned how to get AI to genuinely push back on design decisions instead of just agreeing with everything. CJ will share the specific approaches that work—and the ones that don't—along with examples of how this plays out when making choices in creative work at all levels.

Focusing on three interconnected layers—Strategy, Tactics, and Operations—David will explore how to build an AI governance model that scales, adapts, and delivers tangible value. Participants will walk away with a clear understanding of how to move beyond abstract principles and implement practical, enterprise-grade AI governance tailored to their organization’s maturity and ambitions.

As generative AI tools seep into legal workflows, mistakes are increasingly making their way into official proceedings. This session presents an ongoing project to document and analyze instances where hallucinated content - fabricated cases, statutes, or legal reasoning - was introduced in litigation or judicial decisions.