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.
Duration: 0:57 | Size: 1.1 MB
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
Nobody takes you aside anymore
Print taught a generation when to stop. What we lose when the machines absorb the constraints that used to form us.
Your AI agents need a water cooler
Coordination is a property of the room, not the org chart. What that means when your coworkers are agents.
On the death of the author and the birth of the detector
Why worrying about AI authorship is lazier, and more prejudiced, than it looks.
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.
Did the state change? A simple test for whether work actually happened
Either something exists now that did not exist before, or it does not. A simple test for whether work actually happened, and what changes when you build your systems so they can't record anything else.
How to manage content for multiple clients without flattening their voices
How to manage content for multiple clients without their voices blurring into one house style: a workspace and a voice profile per client, batchable stages, and approval buffers.
Why does AI writing sound generic? It has nothing to work with
Why does AI writing sound generic? Because the model has none of your perspective, examples, constraints, or stakes to work with. The fix is interview-first, not better adjectives.
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.