Category
AI
345 opinions, the most recent published 19 August 2026. · page 3 of 12
-
CIF Presents TWF – Emily Barrett
-
AI Show – Episode 4 – Richard Osborne
-
Building a people-centric strategy to unlock AI’s potential
-
The Future of Marketing: Automation vs Innovation
-
AI Act - New Rules, Same Task
-
AI Show – Episode 3 – Guy Murphy
-
Maximising the business value of data
-
AI Show – Episode 2 – Paul Pallin
-
What’s next for the cloud?
-
Lenovo and CUDO Compute: How Will AI and Cloud Infrastructure Impact the Environment?
-
AI Show - Episode 1 - Clare Walsh
-
Generative AI and the copyright conundrum
-
CIF Presents TWF - Silvia Cambie
-
CIF Presents TWF – Harry Berg
-
CIF Presents TWF – Sue Black
-
The Pros and Cons of Using Digital Assistants
-
Managing Private Content Exposure Risk in 2024
-
Generative AI: Three CXO challenges and opportunities
-
CIF Presents TWF – Hutton Henry
-
Tackling AI challenges in ethics, data, and collaboration
-
The Paradox of “Open-Source AI”
-
How to Turn GenAI from a Toy to a Real Enterprise Tool
This year, we will see a lot more of this kind of combination as enterprises look to create intuitive and informative LLM-based decision support systems.
-
CIF Presents TWF - Dr. Ems Lord
-
CIF Presents TWF – 2023 in Review & 7 Tech Trends for 2024
-
Why AI is more than a passing fad
-
The Impact of AI on Social Media
As AI continues shaping the future, the desire for tools dealing with practical issues like bot followers reveals the human side of tech progress. It's a reminder that even in the AI realm, being relatable and prioritising user experience remains key
-
AI Limits in Customer Service: The Need for Human Agents
Relying on generative AI tools alone to take sole responsibility for customer support will provide an experience for individuals that lacks empathy, understanding and human interaction.
-
AI: from nice to have, to necessity
-
CIF Presents TWF – Pollyanna Jones
-
ChatGPT one year on: six paradigms that AI and LLMs have introduced for brands
The window for first-mover advantage is tiny. Soon, legions of different companies will become fluent in the new lexicon of LLMs and AI, using emerging platforms to create efficiencies, transform team performance, boost revenue and grow market share.