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For 22 years, senior leaders from Fortune 1000 companies have brought their hardest problems here — and left sharper than they arrived.

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Find the peer conversation that moves your work forward.The right exchange builds better leaders, closes capability gaps, and cuts through what internal meetings can't.

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The Regis Company

Artificial intelligence has arrived in full force, ushering in a faster-paced environment than ever before. For organizations to not just survive but thrive, a robust AI strategy is paramount. In this session, discover the role of the AI Advocate, underpinned by a solid AI Manifesto and a dynamic AI Playbook. We'll explore preparing HR leaders for an AI-centric future, emphasizing swift, impactful AI Use Cases in an ever-evolving market. Equip yourself to stay agile, run rapid experiments, and steer your organization with intent amidst constant change.

AI strategy - How to get ready for the future!

future of work

Future of Work

Digital &amp; AI

people strategy

Change Management

strategic alignment

organizational agility

skill-based hr

CHIE2023

markus.bernhardt

HR leadership

AI strategy

AI advocate

<h4>Get real-world business results with AI—minus all the hype.</h4>
Well-credentialed AI experts bombard you with flashy presentations and tech speak about AI, automation, analytics, algorithms, and machine learning to keep you under their spell. They use hype and fear to control you and slow your AI success in order to keep lining their pockets with money.
Break free of the hype and fear and start enjoying the tremendous benefits of artificial intelligence today with no technical expertise required!
In AI Bullseye Tactics for Non-Technical Business Leaders, AI-for-business expert Thomas Gilbertson shares real-life, insider stories to illustrate unique concepts culled from his thousands of hours of experience delivering AI projects for Fortune 10 companies. This guide uncovers Gilbertson’s 12 core business principles for deploying AI effectively and guarantees to forever change how you think about getting business value from AI. Let others debate what AI is, while Gilbertson shows you what AI can do for you, your business, and your career.

You’ll learn how to:
<ul class="a-unordered-list a-vertical">
 	<li>Identify AI opportunities, quickly evaluating their potential to drive profits or reduce costs successfully and across all industries.</li>
 	<li>Create a top-notch, value-delivering AI team by learning the team positions and required skills—success here is not what you have been told.</li>
 	<li>Simplify how you view all AI techniques by grouping them into just 5 proprietary, business-useful categories.</li>
 	<li>Ask the one “secret sauce” question that is guaranteed to uncover a great opportunity to apply AI in your organization today.</li>
 	<li>Avoid 60 specific ways that you can fail to deliver value with AI.</li>
</ul>
Tactical, user-friendly, and irreverent, this book sidesteps the hype and shares the secrets to gaining a competitive advantage over your peers. Get the AI-for-business book for everyone from CEOs to department managers, from entrepreneurs to MBAs. AI Bullseye Tactics for Non-Technical Business Leaders will give you the path and confidence to effectively apply AI in your business today.

AI Bullseye Tactics For Non-Technical Business Leaders

Leadership

digital transformation

dirk.tussing

richard.busby

joe.hamann

edward.desrosiers

marti.konstant

jason.davis

nancy.dome

patricia.ouzounian

diana.barnett

technology adoption

kevin.adams

AI Implementation

business leadership

artificial intelligence

Data-Driven Decisions

AI for Business Leaders

Non-Technical Leadership

AI Tactics

Innovation in Business

AI Basics

AI for Executives

michael.hruska

nicole.defalco

phyllis.king

deepa.kartha

cliff.cheek

baryons.aimentor

From Wharton professor and author of the popular One Useful Thing Substack newsletter Ethan Mollick comes the definitive playbook for working, learning, and living in the new age of AI

Something new entered our world in November 2022 — the first general purpose AI that could pass for a human and do the kinds of creative, innovative work that only humans could do previously. Wharton professor Ethan Mollick immediately understood what ChatGPT meant: after millions of years on our own, humans had developed a kind of co-intelligence that could augment, or even replace, human thinking. Through his writing, speaking, and teaching, Mollick has become one of the most prominent and provocative explainers of AI, focusing on the practical aspects of how these new tools for thought can transform our world.

In Co-Intelligence, Mollick urges us to engage with AI as co-worker, co-teacher, and coach. He assesses its profound impact on business and education, using dozens of real-time examples of AI in action. Co-Intelligence shows what it means to think and work together with smart machines, and why it's imperative that we master that skill.

Mollick challenges us to utilize AI's enormous power without losing our identity, to learn from it without being misled, and to harness its gifts to create a better human future. Wide ranging, hugely thought-provoking, optimistic, and lucid, Co-Intelligence reveals the promise and power of this new era.

Co-Intelligence: Living and Working with AI

leadership development

talent development

keri.kersten

guillermo.gutierrez

learning and development

organizational change

AI in HR

human AI collaboration

generative AI

jim.orheim

innovation leadership

Workforce Transformation

L&amp;D strategy

skills gap analysis

co-intelligence

AI productivity

<div style="font-family: 'Segoe UI', Roboto, Helvetica, Arial, sans-serif; color: #333; line-height: 1.8; max-width: 850px; margin: auto; text-align: justify; font-size: 18px;">
<h4 style="font-size: 1.75rem; color: #1a1a1a; margin-top: 2.5rem; margin-bottom: 1.2rem; border-left: 5px solid #cc0000; padding-left: 15px; text-align: left; line-height: 1.3;">The Collapse of the Traditional Operating Model</h4>
For generations, the growth and impact of even the most successful enterprises were fundamentally constrained by human scale. To serve more clients, expand into new regions, or launch a new product line, you had to hire more staff, build more infrastructure, and manage more managerial complexity. In a legacy operating model, scaling up inevitably triggers diminishing returns and rising internal friction.
In Competing in the Age of AI: Strategy and Leadership When Algorithms and Networks Run the World, Harvard Business School professors Marco Iansiti and Karim R. Lakhani prove that artificial intelligence shatters these traditional limits. When data, algorithms, and networks replace human labor at the core of an enterprise's daily operations, the constraints of scale, scope, and learning disappear. For strategic talent leaders, this book serves as a vital blueprint for shifting the organization from a localized, siloed structure to an integrated, algorithmic powerhouse.


<hr style="border: 0; border-top: 1px solid #eee; margin: 2.5rem 0;" />

<h4 style="font-size: 1.75rem; color: #1a1a1a; margin-top: 2.5rem; margin-bottom: 1.2rem; border-left: 5px solid #cc0000; padding-left: 15px; text-align: left; line-height: 1.3;">The Blueprint: The Anatomy of the AI Factory</h4>
The authors challenge leaders to look past superficial AI tool adoption and instead redesign the organization around a centralized "AI Factory"—an operational engine built on four foundational pillars:

<ul style="padding-left: 25px; margin-bottom: 2.5rem;">
 	<li style="margin-bottom: 1.2rem;">The Data Pipeline: The continuous, systematic process of gathering, cleaning, and organizing internal and external data. In an AI-driven enterprise, data is not a passive IT byproduct; it is the raw, mission-critical asset that fuels every operational decision.</li>
 	<li style="margin-bottom: 1.2rem;">Algorithm Development: Building the predictive models and software engines that interpret the data pipeline. These algorithms automate routine cognitive workflows, unlocking exponential scale by processing complex tasks in fractions of a second.</li>
 	<li style="margin-bottom: 1.2rem;">The Software Infrastructure: Designing the platform and technical ecosystem that delivers the algorithm's insights directly to the front line. This infrastructure must be modular and open, ensuring information flows seamlessly across traditional departmental lines without getting trapped in legacy software silos.</li>
 	<li style="margin-bottom: 1.2rem;">The Experimentation Platform: A commitment to continuous, real-time testing and iteration. By establishing an environment where algorithms can constantly test hypotheses against live data, the organization creates a perpetual feedback loop of rapid, adaptive learning.</li>
</ul>

<hr style="border: 0; border-top: 1px solid #eee; margin: 2.5rem 0;" />

<h4 style="font-size: 1.75rem; color: #1a1a1a; margin-top: 2.5rem; margin-bottom: 1.2rem; border-left: 5px solid #cc0000; padding-left: 15px; text-align: left; line-height: 1.3;">Why It Matters for the ELE Community</h4>
For senior talent, HR, and L&amp;D executives navigating complex business changes, Iansiti and Lakhani’s research completely redefines the workforce strategy:

<ul style="padding-left: 25px; margin-bottom: 2.5rem;">
 	<li style="margin-bottom: 1.2rem;">Architecting the Digital-Ready Workforce: Shifting to an AI operating model requires a profound change in workforce design. HR leaders must move away from recruiting specialized, narrow task-executors and start building a workforce of agile system-commanders who understand data literacy, algorithmic bias, and network dynamics.</li>
 	<li style="margin-bottom: 1.2rem;">Redefining Managerial Capability: Legacy leadership relied heavily on intuition and top-down control. L&amp;D programs must train the leadership bench to manage human-machine partnerships, utilize data-driven insights effectively, and confidently govern automated operational systems.</li>
 	<li style="margin-bottom: 1.2rem;">Bridging IT and the Business Ecosystem: AI transformation is fundamentally a cultural shift, not an IT project. Senior talent executives have a unique opportunity to act as strategic facilitators, breaking down data silos, aligning operational workflows with technology, and ensuring digital transformation feels empowering rather than threatening.</li>
</ul>

<hr style="border: 0; border-top: 1px solid #eee; margin: 2.5rem 0;" />

<div style="font-style: italic; color: #444; background-color: #f4f4f4; padding: 30px; border-radius: 12px; border-right: 5px solid #cc0000;">Competing in the era of artificial intelligence requires us to move past mere tactical experimentation and embrace systemic structural change. When we have the courage to dismantle legacy operational silos and rebuild our talent frameworks around algorithmic networks, we unlock an unprecedented capacity for learning, innovation, and scale. Let's stop simply adopting new technology and start designing organizations capable of leading the digital evolution.</div>
</div>

Competing in the Age of AI

Strategy

continuous learning

Strategic Innovation

capability building

organizational design

talent architecture

corporate agility

algorithmic networks

data scale

operating models

technical fluency

Have you heard about artificial intelligence (AI) and big data but felt they are technologies too big or too complicated for you or your business? Do you imagine AI as a Hollywood science fiction stereotype or something in the far and distant future?

Take heart. AI is none of those things. It’s part of our everyday lives, and it has the power to transform your business.

This book will put AI, big data, the cloud, robotics, and smart devices in context. It will reveal how these technologies can dramatically multiply any businesses—including yours—by strategically using your data’s latent, transformative potential.

Noted business leader, data consultant, and Columbia professor Asha Saxena has distilled her twenty-seven years of experience teaching Fortune 500 leaders in this powerful and insightful book. In The AI Factor, business leaders will learn how to understand the data they already have and how to use it innovatively to grow their businesses using Saxena’s unique methodology.

The AI Factor: How to Apply Artificial Intelligence and Use Big Data to Grow Your Business Exponentially

web.admin

data-driven decision-making

AI applications

Big Data Analytics

Business Growth

Machine Learning

AI in Business

Innovation in Technology

Technology Leadership

Data Management

Artificial Intelligence (AI) is here to stay. No longer confined to the world of science fiction, AI has infiltrated the mainstream and is the new electricity for business. Bestselling author, Bernard Marr, shows you how to harness and integrate it with your business strategy.

We all know about driverless cars, automated production lines and chatbots but how do you ensure your business keeps up and where do you start? Bestselling author and strategy guru, Bernard Marr, argues that AI absolutely applies to your business and explains how to design an AI strategy that will guarantee its success. The Intelligence Revolution explores the opportunities and challenges that come with this monumental new taskforce that is defining the new standards of business.

Guiding us through intelligent products, services and work processes, The Intelligence Revolution illustrates how new technologies are impacting customer experience, product and service design and work efficiency. Bernard Marr delights us with fascinating case studies of businesses excelling at maximizing the potential of AI like Netflix, Autodesk, Disney, Rolls Royce and Amazon.

Don't be left behind. Instead, discover how to turbocharge your business.

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