AWS Cloud Enterprise Strategy Blog

Category: Innovation and Reinvention

Continous Improvement

Continuous Engagement and Innovation

In the digital world, formerly discrete activities have become continuous. In the old world of IT, software deliveries were considered discrete events. We created projects to deliver software capabilities, set requirements for them, deployed code, and then moved on to the next project. At least that was the theory. We knew those IT systems would […]

Is “Tailor” the Modern Solution to the IT Dilemma of “Build vs. Buy”?

To be honest, I’ve never liked the distinction between building and buying when it comes to software. Of course you shoud buy rather than build – if, somehow, there’s a third-party product that does exactly what you need, has the same roadmap for future development as your company will require, meets all your security needs, […]

Taking Pole Position in Your Industry: Agility in Formula One

Truth be told, most large organizations don’t exactly resemble perfectly tuned machines. In stark contrast is the breathtaking teamwork, focus, and precise execution we witness during Formula One (F1) pit stops. An F1 fan myself, I will explore the world of F1 in this blog post about digital transformation. Why? Because behind each on-podium champagne […]

Unlocking the Business Value of Machine Learning—With Organizational Learning

By Annina Neumann, AI/ML Strategist and Gregor Hohpe, Enterprise Strategist at AWS We routinely underestimate the effects that new technology has in the long run while also overestimating its impact in the short term. What has become known as Amara’s Law, in honor of the late researcher and scientist Roy Amara, is playing out now […]

Centralize or Decentralize?

Most large IT organizations, at some point, have to make decisions about what to centralize and what to decentralize. Some organizations decide to create a shared services group; others look to centralize governance over security and architecture, or to centralize procurement and financial management. When done poorly, the centralized functions can become frustrating bottlenecks, and […]

Unlocking the Trillion Dollar Value of Cloud

Business Cases for Cloud Migration I’ve seen some companies struggle to assemble and vet a business case for the cloud. Intuitively, they know the investment is solid. But they get bogged down in projecting their infrastructure needs and have difficulty connecting their cloud activities to broader returns on investment across the enterprise. Fortunately, there’s a […]

Stats Perform Is Innovating by Working Backwards with AWS

Good inventors and designers deeply understand their customer. They spend tremendous energy developing that intuition. They study and understand many anecdotes rather than only the averages you’ll find on surveys. But you, the product or service owner, must understand the customer, have a vision, and love the offering. A remarkable customer experience starts with heart, […]

Digital Transformation: Hype or a Strategic Necessity?

While the term digital transformation has become slippery and overused, it nevertheless remains a priority of many business and technology executives. In this blog post, Dr. Saša Baškarada, a senior transformation architect at Amazon Web Services (AWS) Professional Services, explains the drivers of digital transformation as well as its three interdependent stages. The resulting conceptual […]

Activating ML in the Enterprise: An Interview with Michelle Lee, VP of Amazon Machine Learning Solutions Labs

In the previous blog post I explored with Michelle K. Lee some of the societal impacts of artificial intelligence (AI) and machine learning (ML). In this post I dive into the patterns Michelle has seen organisations implement to take advantage of the promises of ML. ―Phil Some surveys show a gap between an understanding of […]

ML in Society: An Interview with Michelle Lee, VP of Amazon Machine Learning Solutions Labs

In my recent blog post I shared a perspective on how to start your exploration of artificial intelligence (AI) and its subset, machine learning (ML), as business tools. I wrote this as a technology practitioner but a student of ML. At the other end of the experience continuum, I have the privilege of working with […]