HP and the art of AI and data for the enterprise

Ahead of the AI & Big Data Expo at the San Jose McEnery Convention Center, May 18-19, we spoke to Jerome Gabryszewski, the company’s AI & Data Science Business Development Manager about AI, processing data for AI ingestion, and local versus cloud compute.

The technology media is fond of quoting that data is ‘the new oil’, but the reality on the ground is that, despite having access to plenty of first-party information, actually leveraging it to the business’s advantage can prove problematic, especially at enterprise scale.

Should you chose a cloud-hosted AI model, or local compute? How do you get your ‘data house’ in order, so the smart models can produce meaningful results? And as ever, we like to encourage our interviewees to help us predict the next chapter in the fast-moving story of business IT in this AI-dominated business landscape.

Artificial Intelligence News: Moving from manual to automated data ingestion sounds great in theory, but it’s notoriously difficult. Where is HP seeing companies get stuck right now?

One of the most consistent friction points we see is that organisations underestimate the organisational and architectural debt behind their data. Before automation can take hold, they have to reconcile fragmented data ...