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Tech in 2026
An OpEd by Jay Patel, CEO of IXCEL.Tech Looking back to 2025, AI still dominated the technology landscape as it did in 2024 when Agentic AI was touted to be the next evolution of AI capabilities with its promises of automating everything. While agents infiltrated business as ‘digital colleagues’ it’s fair to say they didn’t live up to the hype.
Unlocking Value Through Digital Transformation 2.0
Digital transformations have become the norm across industries with companies adopting Cloud services, DevOps processes, GenAI capabilities, agile practices and more. However, many of these transformation efforts fail to deliver the expected value due to issues with strategy and execution. The traditional hierarchical organisational structure is often misaligned with the realities of modern workflow dependencies. Value can get lost across
WebAssembly and Erlang: Powering the Next Generation of Web 3.0 Platforms
The emergence of Web 3.0 promises a decentralised user-centric internet built on blockchain technologies. This new paradigm requires web platforms that are highly concurrent, scalable, and secure. This whitepaper explores the potential of WebAssembly (WASM) and Erlang in shaping the future of Web 3.0 development. WASM’s ability to run code written in various languages within web browsers expands the capabilities
LLMs are a Trap: Beyond the Hype
There is nothing more hyped today than AI, or more specifically GenAI, or to be even more specific, Large Language Models (LLMs). Many people talk about LLMs as the next great technological leap and, while they are impressive and get better every day, it’s all hype in terms of how people overstate their capabilities. There is nothing more worrying to
Quantum Machine Learning: Beyond the Hype
Machine Learning and Quantum Computing have individually captured the imagination of the technology industry but it’s the convergence of their potentials that will really revolutionise the world. But how can we translate this theoretical hype into practical applications? One key value driver for this convergence worth exploring is for real-time model training and the benefits that can provide to evolve
NextGenAI
Introduction: The Next Evolution of GenAI Artificial Intelligence is not new but 2025 is going to be the most important year yet and may even be a watershed moment. AGI and even ASI is now starting to be realistically talked about and with the new reasoning models, optimised transformers, agentic AI and diffusuion models converging this year we are in