Enterprises Seek to Improve Technological Infrastructure and Cloud Hosting Processes for Supporting AI

Today we continue the insideBIGDATA Executive Round Up, our annual feature showcasing the insights of thought leaders on the state of the big data industry, and where it is headed. In today’s discussion, our panel of experienced big data executives – Ayush Parashar, Co-founder and Vice President of Engineering for Unifi Software, Robert Lee, Vice President & Chief Architect, Pure Storage, Inc., and Oliver Schabenberger, COO & CTO at SAS – discusses enterprises seeking to improve their technological infrastructure and cloud hosting processes for supporting their AI, machine learning, and deep learning efforts. The conversation is moderated by Daniel D. Gutierrez, Managing Editor & Resident Data Scientist of insideBIGDATA. insideBIGDATA: As deep learning makes businesses innovate and improve with their AI and machine learning offerings, more specialized tooling and infrastructure will be needed to be hosted in the cloud. What’s your view of enterprises seeking to improve their technological infrastructure and cloud hosting processes for supporting their AI, machine learning, and deep learning efforts? Oliver Schabenberger: The rise of AI during the last decade is due to the convergence of big data and big compute power with decades-old neural network technology. AI systems based on deep neural networks require large amounts of data to train deep networks well.