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Head, Heart, Legs

Head, Legs, Heart: A Runner’s Framework for Building Better Data Solutions

Marathon training showed me lessons about data that no textbook ever did. I fell in love with both running and data solutions, and along the way, realised they have more in common than you might think. I believe far more people can run a marathon than they realise. The same is true for building excellent data solutions.
  • Harley Radford-Basher
Data and decision making under uncertainty

From Statistics to Data Science to Economic Decision-Making: Decision Making under uncertainty

Abstract: Bayes' Theorem, a foundational concept in probability theory, has become central to modern data science and economic decision-making. This article traces the theorem’s journey from classical statistics to advanced machine learning applications and highlights its critical role in forecasting and policy evaluation in economics. A real-world case study on U.S. recession prediction illustrates how Bayesian updating provides a dynamic, probabilistic framework for economic inference and decision-making [1][2].
  • Yaser Dorgham
Stephen Clare The Role of Records and Information Management

The Convergence of AI Governance and Information Management

Introduction: Reframing Ethical AI Through Records and Information Management As artificial intelligence (AI) technologies have proliferated across both the public and private sectors, ethical governance has emerged as a central concern. Organisations and regulators scramble to develop responsible AI principles, accountability frameworks, and compliance protocols. However, many of these challenges are not new. Records and Information Management (RIM) professionals have long confronted the same ethical questions, now reframed through an AI lens, i.e. how to ensure data quality, maintain transparency, protect privacy, and uphold public trust. This article argues that ethical AI governance can and should draw from the established disciplines of RIM. Far from being sidelined, records professionals hold the key to managing risks and realising the benefits of AI. Many AI principles reflect longstanding archival values, and tools such as ontology, and metadata management, offer practical pathways to accountability, explainability, and compliance.
  • Stephen Clarke

The AI Imperative: Lead with Vision, Communicate with Impact

  • Maruf Hossain, PhD

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Yaser Dorgham

Yaser Dorgham

Yaser Dorgham is a mathematician and statistician by foundation who has built a career at the intersection of mathematics, statistics, data science, and business intelligence. With a strong quantitative background, he applies advanced analytical techniques, financial modelling, and machine learning to deliver measurable value in business, education, and public service…

Maha

Maha Kepakisan

Maha Kepakisan, CPA, is a former accountant turned data engineering leader with over a decade of experience delivering enterprise-scale data solutions across industries including finance, telecom, insurance, and marketing technology. Currently Analytics and Engineering Manager at Ritchies Transport…

payal

Payal Pandya

Payal Pandya is a self-proclaimed data nerd who has spent over a decade turning complex data challenges into people-first solutions that stick. As Data Governance Lead at Sportsbet, she is all about making data work for the business – not the other way around.

Dave Jukes

Dave Jukes is the Digital Analytics Manager at MECCA, where he leads the strategy and implementation of data-driven insights across digital platforms. With over a decade of experience in analytics and digital transformation…

hung

Hung Do

Hung Do is a Senior Full-Stack ML Engineer, PhD, with experience in multimodal data sources and real-time processing. She has been leading and delivering projects that produce sales uplifts and automated processes worth millions of dollars for businesses…

Anshu Bantra

Anshu is a Senior Data Analyst with passion for everything data and over 20 years of cross-functional experience spanning operations, analytics, reporting, and corporate training in various domains. Having specialised in translating complex data concepts into accessible, actionable knowledge for professionals stakeholders and students alike…

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The views, opinions, and positions expressed by the authors on this website are theirs alone and do not necessarily reflect the views, opinions, or positions of Konnect with Data. Konnect with Data is not responsible for and does not verify the accuracy of any information contained in the articles. The information provided on Konnect with Data is for informational purposes only and should not be construed as professional advice.

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