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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.

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!

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. 

In this discussion we’ll explore the questions that need to be asked and of whom. We’ll shine a light on the real risks to industry and our society; from decision makers down to individuals exposed to potentially adverse AI outcomes. We'll cover the ethical dilemmas, limitations of safety regulations and ultimately explore how we can achieve the right balance between humans and their AI co-pilots.

This presentation is ideal for executives, strategists, and business unit leaders who want to guide AI initiatives with clarity and confidence—while staying focused on the human side of transformation and its long-term strategic effects.

Soumen Chatterjee session at The Artificial UnIntelligence Conference will introduce the concepts of Confidential Computing and Privacy-Preserved multi-party collaboration to tackle this AI three-body problem without compromising user data privacy. 

Drawing on her experience leading AI transformation inside Fortune 100 enterprises and building AlphaU AI, Deepika Chopra shares real-world stories and practical tools for detecting friction, measuring trust, and designing for decision clarity, especially when AI is in the loop.

In Alex Zinoviev's session at The Artificial UnIntelligence Conference, you’ll see real-world examples, strategies, and practical ways to embed AI into your operating model to move faster, scale smarter, and make better decisions. Learn what sets them apart and how to start building one today.

AI is fundamentally transforming the nature of work, altering roles, workflows, and tools. It offers opportunities for accelerated decision-making, enhanced customer engagement, and scalable efficiency. However, it also prompts concerns regarding job displacement and algorithmic bias.

At The Artificial UnIntelligence Conference, we have practitioners talking with you about what they have done to use AI to enhance worker productivity by extending their capabilities, not by replacing their jobs. Here are six of those sessions that you help you envision how AI can help you with your work, not replace you.

How effective is AI, really, at catching sophisticated threat actors? Drawing on both practical experience and the latest research this talk takes a candid look at the promise and reality of AI in security operations.

The introduction of the “Minimal Emotion Needed (”MEN-“) Value” is a step towards assessing which tasks will find a good AI replacement and which, at their core, cannot be performed satisfactorily without a human counterpart and why.

AI is ubiquitous and impacts our lives every day.  At the same time, there is a lot of misunderstanding and fear around AI.  We will take a realistic look at the state of AI technologies and discuss current real world applications that are having huge positive impacts in a number of different applications. 

In this session, Rosalind Radcliffe will show how the collaboration of mainframe and AI technologies can work with your existing applications to bring AI inferencing at current transaction speeds, without losing the reliability and security of eight-nines and quantum safe security.

What began as a single, haunting one-liner—a scientist alone behind the moon, glimpsing reality’s fracture—blossomed into Desolate, a gripping tale of isolation, quantum anomalies, and human will, all in less than 100 man-hours. With the aid of Grok, xAI’s AI collaborator, this book evolved from a fleeting idea into a layered narrative, its chapters forged through rapid-fire iteration and real-time refinement.

Discover how forward-thinking marketers are using AI to enhance transparency, build trust, and protect brand integrity. Whether you're driving strategy or execution, you’ll gain practical tools to apply ethical AI across personalization, engagement, governance, and cultural sensitivity—while delivering real, measurable impact.