Data management and quality fall short when it comes to what is required for AI adoption
- Businesses will experience 150% more data, while large organizations will see a doubling by 2026
- More than half of organizations test new AI systems in real time without sandboxing
- Companies must select trusted partners for hardware, software and data
New research has revealed exactly what is holding many UK businesses back from adopting artificial intelligence, harming them by preventing them from progressing and keeping up with the competition, at no cost.
The Hitachi Vantara report claims that insufficient data management and quality standards are threatening the success of AI initiatives, with two in five (42%) UK businesses identifying data quality as the biggest concern for successful AI adoption.
Despite recognizing this hurdle, many organizations fail to build the robust data infrastructure necessary for effective AI implementation.
Data is the main AI hurdle
Meeting tomorrow’s challenge is simply not good enough, says Hitachi Vantara, which claims the amount of data companies need to manage will increase by 150% by 2026. The average large organization worldwide would now manage 150 petabytes of data, with this set to rise to 300 PB by 2026.
Nearly half (45%) of UK businesses report significant data storage challenges, while even more (56%) admit that more than half of their data is unused and unanalyzed – what Hitachi Vantara ‘dark data ‘ mentions.
Even worse, companies’ attitudes towards AI are just as chaotic, with more than half (56%) admitting they test and iterate AI in real time without controlled environments, putting them at risk of major vulnerabilities. On the other hand, only 12% report using sandboxes.
“Many companies dive into AI without a solid strategy or proper training to keep up, but this can backfire. Successful AI projects start with a clear plan: defined use cases, desired outcomes, and an infrastructure built to handle responsibly huge amounts of data to handle,” said Sasan Moaveni, Hitachi Vantara’s Global Business Lead for AI and High-Performance Data Platforms.
Looking ahead, the company is calling for the development of a network of trusted partners. By bringing together reliable hardware, software, data storage and processing solutions, and a skilled workforce, companies can tackle AI more effectively.
