The role of AI in digital transformation.
Discover how AI drives digital transformation by enhancing operations, customer experiences, and growth while addressing key challenges and best practices.
The key insights from this article are that artificial intelligence (AI) is playing a significant role in enterprise digital transformation by revolutionizing operations, improving customer experiences, and unlocking growth opportunities. AI-powered automation can streamline processes and improve efficiency, while data-driven insights enable informed decision-making. AI also enables personalized customer experiences and enhances security and risk management. However, there are challenges to consider, such as data quality and privacy, skill gaps, change management, and integration complexity. Best practices for AI-driven digital transformation include setting clear objectives, investing in data infrastructure, fostering a learning culture, and prioritizing ethical AI.
Original article: The Role of Artificial Intelligence in Enterprise Digital Transformation
Why customer tools are organized wrong
This article reveals a fundamental flaw in how customer support tools are designed—organizing by interaction type instead of by customer—and explains why this fragmentation wastes time and obscures the full picture you need to help users effectively.
Infrastructure shapes thought
The tools you build determine what kinds of thinking become possible. On infrastructure, friction, and building deliberately for thought rather than just throughput.
Server-side dashboard architecture: Why moving data fetching off the browser changes everything
How choosing server-side rendering solved security, CORS, and credential management problems I didn't know I had.
The work of being available now
A book on AI, judgment, and staying human at work.
The practice of work in progress
Practical essays on how work actually gets done.
The second project problem
Your system works. Then you try it somewhere else and it falls apart. The gap between 'works here' and 'works anywhere' is where most automation dies — and most organizations never look.
The smartest code you'll ever delete
The most dangerous kind of waste isn't the thing that doesn't work. It's the thing that works beautifully and shouldn't exist.
The first real user breaks everything
Your product works until someone actually uses it. The gap between 'works in dev' and 'works for a person' is where most systems fail — and most organizations avoid looking.
Remote work is here to stay despite in-person mandates, this economist says
Explore why remote work persists despite RTO mandates, and how hybrid models can enhance equity and collaboration in the evolving workplace.
AI’s role in the future of work
Explore how AI transforms the future of work by enhancing skills, personalizing engagement, and driving ethical talent strategies for a competitive edge.
Using generative AI and automation for improvement
Unlock efficiency and save costs by fine-tuning the ChatGPT 3.5 Turbo model with our step-by-step guide to generative AI and automation.