Is it best to buy or build a network automation system?

Mike Leone, an analyst at Enterprise Strategy Group in Milford, Mass., sees incredible traction for AI and machine learning in enterprise IT. While AI and machine learning are top priorities for companies working toward digital transformation, he said, investment remains modest as a result of the infrastructure costs associated with these new technologies. Both fields rely heavily on different elements of the technology stack, from physical hardware supporting storage, compute and networking to software that handles compliance and other requirements. Yet enterprises still struggle to have all their networking infrastructure in sync, citing security, compliance, and to a lesser extent, big data, as the "weak links" in the chain, according to Leone. A majority of organizations rely on three different tools to develop, test, deploy and manage machine learning models, ESG said.