Join us for this webinar to discover how mid-sized businesses can refine their AI strategies to drive growth and stay competitive in 2025.

Key Lessons from 2024 and Critical Trends for 2025: Discover what AI advancements, successes, and challenges in 2024 reveal about where the market is headed—and how mid-sized businesses can prepare for rapid changes in technology, expectations, and competition.

What Makes a Winning AI Strategy (and How to Evaluate Yours): Understand what makes a robust AI strategy and use the ALIGN Framework to evaluate the strengths and weaknesses of your current approach.

Shift from Experiments to Results: Discover the common roadblocks preventing SMBs from scaling AI initiatives and learn actionable steps to turn experimentation into measurable business outcomes.

Lately, there’s been a lot of buzz about Apple falling behind in the AI race. So why would a company known for game-changing innovation seem slow in the fast-paced world of AI? The answer lies in Apple’s long-term strategy. Apple’s approach to AI is deliberate, with a focus on maintaining its core strengths: a vast, deeply integrated ecosystem and an unparalleled user experience. While other companies race to release AI features, Apple is playing the long game.

Much like raising a toddler, AI initiatives require a thoughtful balance of exploration, patience, and setting the right foundations for future success. The potential for both is vast but undefined at first—developing over time and in stages. Here are four lessons I’ve learned from parenting that can help guide your organization toward successful AI adoption.

AI is no longer a "nice-to-have" in organizations—it's a must. Seventy-three percent of U.S. companies integrated AI into at least one aspect of their operations this year, and 85% of business leaders plan to augment their AI investments.  Despite widespread adoption, many organizations are still experimenting, seeing small pockets of success with little to no impact.

Even the most sophisticated AI projects fall flat and drain resources if you don’t have a sound strategy, financial backing, technical infrastructure, and cultural alignment. We'll explore three pillars of AI readiness, why they matter, and how understanding them within your organization’s context can help you mitigate risk and accelerate the time-to-value of your AI investments.

AI’s potential to transform business is vast—yet most organizations aren’t realizing a fraction of it. While technology and talent are common scapegoats, strategic misalignment is the most likely culprit in failed AI initiatives.