Skip to main content

Posts

The Efficiency Trap of AI Delegation

The Human – AI Paradox: Efficiency may come at the cost of learning. (Image: AI-generated + human-edited) When we automate friction, we accidentally automate away the learning. AI may not steal your job. It steals the struggle that was quietly making you better at it, and hands you the result without you in it. Every human task carries developmental friction. It is the productive resistance that builds skill, judgment, and expertise. Studies show expertise requires iterative failure cycles, not just output. When you delegate a task to an AI agent, you don't just remove the effort. You remove the neurological event where competence is formed. This is called the Human-AI Paradox or Human Agency Paradox. So does it mean you should be wary of using AI, as it may leave you dumb? Well, no. I am not saying that as I don't want to be killed by AI fanatics :-). I am just an AI Advocate. Nevertheless, we must appreciate that while not all friction is worth keeping, developmental fric...
Recent posts

Impact of Tariffs war on IT Departments and CIOs

The U.S. tariffs on Canadian, Mexican, and Chinese exports have rattled the global markets and North American businesses. CEOs, senior executives, and investors are compelled to reevaluate their strategies. They must prepare for potential disruptions to operations and cash flow. What was once considered an unlikely scenario has now shifted to a question of how to survive it, rather than if it will happen. While the full impact of these tariffs will unfold in the coming weeks, technology leaders like CIOs, and CTOs - like their colleagues C-suite - must proactively act. They need to assess how this will affect the IT departments and formulate strategies to manage any likely risk. IT will be impacted in four ways: 1> The changes in organizational revenue and profitability will directly influence IT budgets; 2> Rising costs of hardware and software will reduce its spending power; 3> Uncertainty around services and already constrained immigration policies will increase its pro...

Digital is not Innovation, neither are all innovations Digital

Recently at INFOTECH LIVE 2024 Las Vegas, one CIO wanted to talk about Digital Transformation. During the conversation what intrigued me was that He seemed to be using Digital and Innovation interchangeably. As we dug deeper, I realized that it was not his mistake but probably some mis-interpretation of the Digital Transformation approach articulated by one of Big-4, starting with 'D'. Too subtle :-) Anyway, he is not alone. In the age of digital transformation, terms like digital and innovation are often used interchangeably, yet they carry distinct meanings and serve different purposes within an organization. Although these concepts are interrelated and frequently support each other, understanding their nuances is key for organizations looking to achieve sustainable growth and competitiveness. Digital and Innovation – They are defined differently At its core, (being) digital, the next step to traditional IT delivery, is the customer-centric way to leverage technology an...

Digital - second to God - Omnipresent, Omnipotent, Omniscient !!!

Digital Digital Digital - if one word which is being most discussed after god, it's digital.  It is omnipresent, omnipotent, omniscient. How? There is no place in the global ecosystem where Digital is not being discussed (omnipresent). It's in the cloud (no-pun-intended)  There is no problem in the world for which Digital is not being considered a potential solution (omnipotent). It brings people, skills, and the ecosystem together. And, there is nothing that is hidden from digital, it knows everything from its data intelligence capabilities (omniscient). The ability to capture data from anywhere, and draw intelligence out of it is only strengthening every day. Despite this omnipresent, omnipotent, omniscient digital, why businesses are struggling to realize benefits from their digital programs? Of course, let's talk about the challenges of going truly digital. First, not knowing what is digital. from CEO to ground staff need to have a common understanding of digital...

Contextualizing Cyber Security tools and frameworks

After medical science, if any professional stream has the most number of acronyms, Cybersecurity would be it. Every acronym represents a concept, framework, or tool with substantial overlapping features with others. It is not always easy to find how these different solutions interact with each other. While I may not know about all, let's contextualize a few of the most prominent ones which often find a place on CISO’s agenda. If we could visualize all of them in a single frame, the picture may look something like this.  Now, let's look at the different parts of this picture in brief. Security of End Point Endpoints are essentially devices used to access applications and services. It may include laptops, desktops computers, smartphones, tablets, IoT devices, and edge servers among many others. Endpoint security focuses on securing these devices, along with cloud or on-prem resources, when they are connecting to the network and accessing or storing the data. Endpoint pr...

Cloud Comparison - Part-3: Business Strategy - Get Set Go

All businesses formulate their strategies around their strengths and use partnerships and collaborations to bridge the gaps. The three cloud hyperscalars we are talking about – AWS, Azure, and GCP – also follow a similar approach.  Before we go into details about these three players, let me list the main segments of the cloud market. The cloud market is divided into 3 sets of solutions: 1. IaaS (Storage, Compute, Network) Public IaaS – This is the segment with ~$100B market and AWS commands around 55% of the market, followed by Microsoft (30%), Google (10%) Private IaaS (On-premise) – This is a sub-segment within IaaS driven by clients' demand for hybrid cloud solutions. Overall market size is ~$25B led by Microsoft Azure Stack (33%), Google Cloud Anthos (25%), AWS Outposts (15%) Overall IaaS market is led by AWS with more than half of the market share. * Please note, that all numbers mentioned here are approximates and based on the reports ...

Emerging Techs Hype Curve 2022 - Web3 Foundation is underway, Metaverse will take a decade !!!

  While most of the technologies on the hype curve are known and will mature in the time period Gartner mentions. I am interested in seeing how a few specific ones will take shape – Internal Talent Marketplace, Digital Human, and Minimum Viable Architecture. When these ones mature, we will witness faster and more decentralized business transformation through digital. Nevertheless,  what I find interesting is, that while NFT, Decentralized Identity, Digital Twin, and Web3 may find their places in 2-10 years, Metaverse and Digital Human are still more than a decade away, and rightly so, because NFT, DI, Digital Twin, and Web3 will be the pillars of the Metaverse ecosystem. Similarly, while Cloud Hyperscalars like Azure have been trying to lead with Industry Cloud Platforms solutions, Creating cloud data ecosystems for various industries will play a critical role in building those industry solutions. However, as I interact with hyperscalars and a few clients, I reckon that both c...