While GPT-4 dominates headlines, a quieter AI revolution is building. Open-source models are reshaping who gets to build โ and on whose terms.
Nobody Wanted to Talk About Data Governance. AI Changed That Fast.
Data governance went from IT housekeeping to C-suite priority almost overnight. Here's why three forces converged โ and what it means for enterprise AI ambition
The Three Walls Blocking Enterprise AI at Scale โ And What It Actually Takes to Get Past Them
Enterprise enthusiasm for AI is real. So are the three structural barriers preventing it from scaling. Data, ethics, and organisation โ here's what's actually in the way.
Understanding the AI Gold Rush: Opportunities and Risks
ChatGPT has triggered an entrepreneurial frenzy. Thousands of startups are launching. Most are building wrappers. Here's how to tell the signal from the noise.
Innovation is more than Technology – The Xerox Story
In the 1970s, Xerox's Palo Alto Research Center (PARC) developed the first personal computer, the Xerox Alto. The Alto was the first computer to feature a graphical user interface (GUI) with a mouse and a desktop metaphor, which are now standard features of modern computers. However, Xerox failed to commercialize the technology, and it was instead popularized by Apple, who introduced the Macintosh in 1984. The reason for Xerox's failure was primarily due to the company's focus on its core business of copying and printing, and a lack of understanding of the potential of the personal computer market. Xerox's management at the time did not see the potential of the technology and did not invest in its development. They also did not recognize the potential of the GUI and mouse-based interface, they were more focused on developing the technology for their core business of copying and printing. Additionally, Xerox was not able to capitalize on its innovation because it was not able to create a business model for the personal computer market. The company did not have the distribution and marketing capabilities to compete with companies like Apple and IBM, which had already established themselves in the personal computer market.
The Unglamorous Foundation That Makes Everything Else Work: Why Data Governance Deserves the Boardroom
AI gets the headlines. Data governance does the actual work. Here's why the least exciting discipline in enterprise technology is also the most important one.
The Ethereum Merge: What a 99.5% Energy Reduction Teaches Enterprise Architects About System Evolution
Ethereum's transition from Proof of Work to Proof of Stake isn't just a crypto milestone. It's a masterclass in evolving large-scale distributed systems without breaking them.
Cloud-Native Is No Longer the Future โ It’s the Baseline: What That Shift Means in 2022
The debate has shifted from "should we move to cloud?" to "how do we govern multi-cloud complexity?" Cloud-native architecture is now the enterprise baseline โ not the edge.
Beyond NFTs: Why Web3’s Real Story in 2022 Is About Infrastructure, Not Applications
Web3 isn't just NFTs. The real opportunity โ and the real challenge โ lies in the infrastructure layer. Here's what the technology stack actually reveals in 2022.
The Innovation Frameworks That Separate 2022’s Winners From Everyone Else
The best innovators aren't chasing every idea โ they're managing a disciplined portfolio. Here's the framework separating winners from the rest in 2022
The InnerSource Movement: What Happens When You Apply Open Source Thinking Inside a Company
I led the InnerSource movement that enabled 200+ applications and built a discovery portal we open-sourced. Here's why it mattered and what it changed about how teams worked.
Intrapreneurship at Scale: How I Launched Four Internal Startups and Secured Corporate Funding
I built and led an intrapreneurship programme that turned employee ideas into funded internal startups. Here's what it took, what it produced, and what it proved about innovation from within.
Asia’s First Customer Experience Center: How I Built the Room Where Millions in Sales Began
I established Asia's first Customer Experience Center โ a space where CxOs came to reimagine their businesses using emerging technology. It facilitated $124M in sales. Here's how it worked.
Quantum Computing 101: What It Is, Why It Matters, and Why It’s Harder Than It Sounds
Every few years, a technology arrives that forces a genuine rethink of what computing can do. Quantum computing is widely described as one of those technologies. It's also one of the most consistently misunderstood โ oscillating between breathless hype and dismissive scepticism, sometimes in the same week. So let's try to be precise about what... Continue Reading →
We Open-Sourced the Way We Share Code Inside our Org โ And GitHub Featured It Twice
I led the InnerSource movement at SAP, enabling 200+ apps and building a discovery portal we open-sourced. GitHub featured it. Here's why we built it and what it changed.
BITCOIN – IN SIMPLE WORDS
The content discusses the fundamentals of Bitcoin, emphasizing that understanding money and banking is crucial for grasping its value. Bitcoin offers a decentralized banking system without transaction fees, accessible to anyone with internet. It also highlights the middleman dilemma, where the lack of regulation raises trust issues, while acknowledging the potential for innovation and improved security in the future.
Augmentation of Customer experience with Technology
In 2013 Disney introduced MagicBands in their theme parks. The Technology: The band is RFID enabled and also functions as a ticket and completely linked with the online 'my-disney-experience', which stores the personal information, preferences and much more. The Possibilities: Now this being bundled with features allowing this to be a wallet, room key, ticket, passes etc. there is no... Continue Reading →
Virtual Tourism !
How many of you have checked out the Night Walk application from Google? If you have not, then check it out before reading further. This is the latest and most impressive experiments from Google, which takes the concept of maps to a whole new level. The current version of made available for the cityย Marseilleย in France... Continue Reading →
Facebook: Facial Recognition 2.0
We know that Facebook already usesย facial recognition technology and suggestsย tags on photos uploaded by us;ย Googleย has similar technology for its Google+ social network.ย But last monthย Facebookย publishedย explaining theย capabilities of their new AI(artificial intelligence) system called DeepFace.ย Now the interesting part is that if humans compare 2 photos and answer if both have the same person in it, there... Continue Reading →
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