Category Archives: AI & Machine Learning
AI and analytics? Been there, done that
In a recent article, I covered a discussion I’d previously had with a company called[...]
Enterprise AR redux: Will Apple succeed where Microsoft floundered?
When Scandit announced its integration with Apple’s Vision Pro mixed reality headset, I experienced a[...]
Generative AI in analytics: Enhancing the user experience without overreach
As scepticism creeps more and more into the generative AI discussion, I’ve been trying to[...]
Generative AI tooling: Is the user the weakest link?
One of the challenges I’ve had with generative AI is figuring out where the real[...]
Mitigating AI Risks: 5 Essential Steps for Secure Adoption
Artificial intelligence (AI) and machine learning (ML) are finding their way into industries worldwide as[...]
The Untapped Potential of Liquid Cooling in Modern Data Centres
Ever since IBM sold off its x86 business to Lenovo back in 2014, I’ve been[...]
What does “Investment in Generative AI” actually mean?
I’ve found myself in a number of conversations recently where the discussion has turned to[...]
Why laptops and other edge devices are being AI-enabled
Why do we need dedicated AI engines in laptops, and especially in the ultrathin laptops[...]
Why Intel has joined the race for the AI-enabled laptop
A new AI battlefield is opening up, not among all the GPU ‘farms’ in data[...]
Custom chatbots and model gardens: putting Private AI to work
Part 2: More to think about It’s essential to decide where to run your Private[...]
Understanding the rise and role of Private AI
Part 1: AI hype vs fear and doubt The leakage of proprietary IP and other[...]
A CX perspective on the Contact Centre
Automation, AI and the transition to a new era
CIO perceptions of vendor AI marketing
With all the recent press coverage, it’s not surprising to see IT vendors clamouring to[...]
Time to sound the alarm as AI hype catches fire
One of the most worrying things that’s coming out of recent research
An AI crash is coming: don’t let it drag you down
All the signs are there that an AI crash is coming: overinflated claims and dodgy[...]
But is that really Artificial Intelligence?
CIOs speak out on the validity of vendor AI claims
Don’t let your smart software suffer from poor platform choices
Mismatched AI and analytics can be massively inefficient
Striking a balance between risk and innovation: Lessons from an autonomous ship
Back story to a different kind of voyage
The Agile Intelligent Enterprise: Making the Business Case for SAP S/4HANA
Clever Planning for a Successful Migration
The role of machine learning and automation in storage
Drivers, perceptions, readiness and practicalities
Taking the drudgery out of analytics
Analyst Blog: In recent years the importance of analytics has grown dramatically
AI in Industry: The Myths and Reality
Machine Learning as a key enabler of next-generation industry
AI in industry: the hype, the reality, and the unavoidable opportunity
But IT should beware of overcoming AI-wash only to fall victim to ML-sprawl
Digital Transformation Practicalities
Lessons from Leonardo