In many organisations, Chief Data and Analytics Officers (CDAOs) find their roles confined to traditional data management tasks, mirroring the responsibilities typically associated with Chief Data Officers (CDOs). Their focus often centres on governance, compliance, and platform investments — essential areas, but ones that risk overshadowing their ability to deliver strategic business value through analytics. Originally published at LinkedIn Pulse on 13 April 2025. Photo by

In 2023, the field of generative artificial intelligence (AI) experienced remarkable progress, with significant advancements in natural language processing, computer vision, and audio synthesis. These developments have unlocked a plethora of new opportunities and applications, shaping the future trajectory of technology across a wide range of sectors. This article provides an overview of the ethical considerations and responsible strategies for the development, deployment, an

Generative AI is a branch of artificial intelligence that focuses on creating new content or data from scratch, such as images, text, music, code, diagrams, etc. Generative AI has been making impressive advances in recent years, thanks to the development of deep learning models such as generative adversarial networks (GANs), autoencoders, transformers, and others. Originally published at LinkedIn Pulse on 8 January 2024. Photo by Google DeepMind @ Pexels.com Generative AI ha

Generative AI (GenAI), especially LLMs, has transitioned from a buzzword to an essential business asset. Leading organisations have moved beyond the proof-of-concept (POC) phase and are now actively deploying GenAI solutions. Many non-technology companies have realised that developing proprietary LLMs is unnecessary for solving internal challenges . Instead, they acquire LLMs from vendors or the open-source marketplace. Originally published at LinkedIn Pulse on 23 March 2025

In today’s data-driven landscape, CDO, CAO, and CDAO are critical in steering organisations towards success. The journey began with the CDO, who introduced a data-centric culture by developing robust data strategies, ensuring data governance, and effectively managing data assets. As the volume and complexity of data grew, the need for specialised analytics expertise became apparent, leading to the creation of the CAO role. The CAO focused on transforming raw data into actiona

Over the past two decades, I’ve used analytics to support decision-making across nearly every part of enterprises. Yet, I’ve never once built a dashboard. They’ve consistently failed to deliver the insight and agility needed for real-world decisions. Dashboards demand a fixed set of questions and perfectly cleaned data up front, take months to build, and quickly become obsolete. In practice, they trap insight in rigid charts, leaving users to scroll through stale reports inst

Artificial Intelligence (AI), or more precisely Machine Learning (ML), has become an industry trend in the past 10 years. From a buzzword to a new way of automation and decision-making, ML has become mainstream. I have had conversations with multiple organisations keen to use ML, even without a real-world use case. Graduate schools are offering lightweight courses to the masses, consulting companies are providing services on adopting ML, and technology companies are building

A data strategy is a comprehensive blueprint that outlines how an organisation will harness data to drive business objectives and deliver customer value. It is a strategic imperative that aligns with the organisation’s vision, mission, and values, while also adhering to industry regulations and ethical standards. The strategy takes into account the expectations of customers, partners, and stakeholders, ensuring that data management is not only effective but also a catalyst fo