On Cloud

Machine learning has revolutionized analytics, yet it still has untapped potential. This year at AWS re:Invent 2019, AWS introduced new ML offerings, as well as a collaboration with Deloitte, to help companies enhance their ML capabilities, make them more secure, and speed up implementation.

Machine learning has revolutionized analytics, yet it still has untapped potential. This year at AWS re:Invent 2019, AWS introduced new ML offerings, as well as a collaboration with Deloitte, to help companies enhance their ML capabilities, make them more secure, and speed up implementation.

At AWS re:Invent 2019, AWS introduced new, exciting, and evolutionary products and services in the cloud space. There's lots of buzz around IoT, machine learning, and 5G, making companies smarter—and helping developers move more operations to the cloud.

At AWS re:Invent 2019, AWS introduced new, exciting, and evolutionary products and services in the cloud space. There's lots of buzz around IoT, machine learning, and 5G, making companies smarter—and helping developers move more operations to the cloud.

Despite the strong imperative to digitally transform, many companies still struggle with it. One strategy is to adopt a cloud-native mindset that leverages AIOps and shifts DevOps bottlenecks left to re-think software development, delivery, and deployment in a cloud-native world.

Despite the strong imperative to digitally transform, many companies still struggle with it. One strategy is to adopt a cloud-native mindset that leverages AIOps and shifts DevOps bottlenecks left to re-think software development, delivery, and deployment in a cloud-native world.

As the panoply of cloud vendors and products grows ever larger, so does the configuration and management complexity of the cloud. For many companies, this complexity can reduce the value of their cloud-computing investments. In this episode of the podcast, David Linthicum and guests, Intel's Lisa Davis and Deloitte's Doug Bourgeois, discuss ways companies can tackle cloud complexity and leverage multi-cloud architectures to help optimize cloud deployments in terms of performance, cost, and agility. Lisa and Doug also argue that companies need to realize that hardware isn't a commodity and that cloud architectures—and talent acquisition decisions—must be driven by mission-critical business needs and workloads.

There's little doubt of the value of agile and DevOps, but many companies still struggle to innovate with IT. It's often because they're stuck in a project management paradigm. One solution is to focus on product value streams and measure the business value delivered by software.