Oluwasegun Odesola

Oluwasegun Odesola is a software engineer, AI researcher, and serial technology entrepreneur operating at the intersection of artificial intelligence, algorithmic fairness, educational technology, and financial technology with deep roots in both the Nigerian and UK technology ecosystems. He is the Founder and CEO of DataIntell Resources (UK), a decentralised community platform where students, researchers, academics, and professionals publish their research and innovations directly no gatekeepers, no archives. What began as a research dissemination initiative has grown into a global movement: three consecutive annual summits (2023–2025), 1,100+ total registrations, 776 participants at the 2025 summit alone with a 97% satisfaction rate, and a research newsletter reaching 490+ AI and data science professionals across continents. He holds an MSc in Financial Technology with Distinction from Teesside University, Middlesbrough, UK, where his dissertation on AI-powered instant textual feedback for physiotherapy students led to a published paper at the IEEE IMSA 2024 international conference in Cairo, Egypt cited 4 times and read 184 times within 9 months of publication. He holds a BSc in Statistics from the Federal University of Agriculture, Abeokuta, Nigeria. In 2016, he founded iQvistas Solutions, a full-stack digital agency serving 3,000+ clients across web development, data analytics, IT consultancy, and professional training in Nigeria and the UK. He has delivered training to 1,345+ individuals including 200+ government officials, securing ₦24M+ in verified government contracts and achieving measurable impact at the continental level through AUDA-NEPAD. He also founded Eroidan, a multi-tenant SaaS CBT platform built specifically for Nigerian education infrastructure offline-first, AI-powered, and designed for the realities of low connectivity environments. Beyond technology, Oluwasegun is a committed advocate for responsible AI and ethical innovation. He co-founded ResponsibleTech, a technology governance platform addressing algorithmic bias, and has spoken at international conferences including the AI Economy Conference (2026), LinkedIn Africa Workshop (2026), and iSpark Africa Tech Summit. He has been featured in Guardian Nigeria for his work on educational technology innovation. His guiding conviction: the infrastructure that should support researchers, students, and innovators has become the biggest obstacle to them. DataIntell and everything he builds exists to change that — one researcher, one innovation, one community at a time.

The Evolution of Data: From Datum to Big Data

1. Introduction to Data Fundamentals Definition: You defined "Data" by its Latin root "Datum," which means "something given". Transformation: You discussed how raw data is processed and transformed into actionable information. Diverse Forms: You highlighted that data exists in various forms, including text, images, numbers, figures, and symbols. Structure Types: You compared Structured Data (easily displayed in rows/columns, taking up 20% of enterprise data) versus Unstructured Data (images, audio, and video, making up 80% of enterprise data). 2. The History of Data (A Journey Through Ages) Ancient Beginnings (19,000 BC): You identified the Ishango bone as the first evidence of data collection and storage. Early Record Keeping: You mentioned the use of clay tablets for records in ancient Egypt, Sumer, and Rome, and the invention of the Abacus in 2400 BC for calculations. The Rise of Analysis (1663): You credited John Graunt with introducing the concept of data analysis. Industrial Innovation (1890): You discussed Herman Hollerith’s machine, which used data to complete the US census. Storage Breakthroughs (1900s): You covered Fritz Pfleumer’s invention of magnetic tape, the precursor to floppy disks and hard drives. The Digital Birth (1990s): You highlighted Sir Tim Berners-Lee and the invention of the World Wide Web. 3. The Modern Era and the Big Data Explosion The Internet Revolution: You touched on the launch of Google in 1997 and the subsequent development of relational databases. Social Media Era (2003–Present): You mapped the "Expansion Age," noting the rise of platforms like LinkedIn (2003), Facebook (2004), and YouTube (2005). Volume of Data: You cited Eric Schmidt’s 2010 revelation regarding the massive scale of data creation, noting that humans now create approximately 2.5 quintillion bytes of data every day. Sources: You identified mobile phones and IoT (Internet of Things) devices as the primary drivers of this modern data surge. 4. Career Paths and Industry Impact Data Modernization: You explained the stages of handling data today, including assessment, cleansing, migration, and ongoing monitoring. Professional Roles: You used a comparison model to show the shift from the Past (BI Analysts focusing on reporting) to the Future (Data Scientists focusing on predictive analytics and Machine Learning). The Intersection: You positioned the Data Analyst in the center, bridging the gap through statistical modeling.