From stagnant to sophisticated: Why startups are best positioned to champion the AI revolution

Ever since IBM invented the first hard drive, businesses have tried to get more and more out of the data they collect. Big names such as SAP and Oracle helped them integrate their systems and put their data into databases to generate reports on that data. Data in this era was siloed and had limited applications for end-customers.

Managing data was always a challenge, particularly for startups and emerging companies. Businesses began gradually warehousing their data so they could access and manage their customer and product data all in a single place. This meant they could analyse more complete data sets across multiple silos.

Data analysis was still limited to addressing what happened in the past and was unable to offer predictions or information on future trends. Computing limitations also meant that by the time reports were created, they were often out of date.

Data swamps

With the proliferation of consumer-focused technology, the amount of data generated increased exponentially...