Digital transformation is the strategic integration of digital technology into all areas of a business, fundamentally changing how it operates and delivers value to customers.
Best-in-class examples include Netflix, Microsoft, NVIDIA, Capital One, GE Healthcare, and many others.
Stanford Online - Academic Director of the Digital Transformation Program, to learn more about the not-so-technical side of digital transformation and where the future of this hot topic is headed.
Bloomberg Originals - This video offers bold takes for curious minds on today’s biggest topics. Hosted by experts covering stories you haven’t seen and viewpoints you haven’t heard, you’ll discover cinematic, data-led shows that investigate the intersection of business and culture.
TEDx Talks - In this talk Dr Edmund Jackson describes how AI, at last, can help all of us, from patients to providers, to suffer less and heal more by simplifying healthcare.
BrainHQ is an online brain-training program featuring a suite of clinically proven exercises designed to improve cognitive functions like memory, attention, and processing speed.

Global spending on Digital Transformation (DX) initiatives has maintained a consistent and robust growth rate, nearly doubling from $1.5 trillion in 2021 to nearly $3 trillion in 2025.
In 2025, Artificial Intelligence (AI-related) spending became the primary engine of overall digital transformation, accounting for nearly half of the total DX expenditure.
While AI spending was a smaller subset of technology budgets in 2021 ($95 billion), it experienced an unprecedented surge starting in 2024. This jump to **$987 billion** and eventually $1.48 trillion reflects the massive investment in Generative AI infrastructure (GPUs, data centers) and the integration of AI into core business software and services.

Global spending on Digital Transformation (DX) is projected to nearly double again, rising from $3.4 trillion in 2026 to nearly $6 trillion by 2030.
Artificial Intelligence (AI) is no longer a peripheral technology but the central driver of digital initiatives. By 2030, AI-specific infrastructure and project spending is expected to reach $4.8 trillion, representing approximately 80% of the total digital transformation budget.
The next five years will be characterized by a shift from AI experimentation to full-scale infrastructure deployment. This includes massive investments in AI-optimized data centers, custom silicon (GPUs/NPUs), and the integration of "Agentic AI" into enterprise workflows.

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