AWS Cloud Enterprise Strategy Blog

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Two Pizza Teams Are Just the Start, Part 2: Accountability and Empowerment Are Key to High-Performing Agile Organizations

In my previous blog post, I shared with you why the legacy approach of project and skill-based teams stands in the way of organizations becoming high-performing agile organizations that are able to innovate quickly, bring new ideas to market faster, and deploy advanced technology solutions in less time. So what is the answer? Accountability and […]

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Two-Pizza Teams Are Just the Start, Part 1: Accountability and Empowerment Are Key to High-Performing Agile Organizations

Go Faster, Innovate More Go Faster. Innovate more. It sounds like a simple directive. Almost every executive I talk to wants to bring new ideas to market faster, accelerate innovation, and deploy advanced technology solutions in less time. Oh, and they need to do all that while building secure, reliable, compliant, and resilient solutions. But […]

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Strategy for Efficient Cloud Cost Management

One of the most common questions I get from customers is how to effectively manage their cloud costs. Amazon Web Services (AWS) offers many programs to help customers evaluate and optimize their spending. The Cloud Economics team is fantastic at providing a detailed, holistic analysis of your environment and can identify areas of optimization and […]

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The Search for COVID Answers Begins with the Right Data (Part 6)

The COVID-19 pandemic has raised questions never faced before. Businesses getting the best answers were already prepared to use AI, data, the cloud, and agile practices. By Bret Greenstein & Tom Godden     Originally posted at https://digitally.cognizant.com/the-search-for-covid-answers-begins-with-the-right-data-codex6529/.   When the COVID-19 pandemic struck, businesses had more questions than answers: Which policies would stem the […]

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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 […]

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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 […]

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When You’re Buying IT, You’re Also Selling

When I discussed a customer’s IT strategy the other day, they highlighted how the “unbelievably good deal” that their outgoing CIO had negotiated with a major IT outsourcing provider became a major liability. Being in the travel and transportation business meant that they were severely affected by the COVID-19 pandemic, having to pivot to new […]

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IT and ESG Part Two: How IT Can and Must Further the Company’s ESG Efforts

In my previous post I explained why environmental, social, and corporate governance (or ESG) has become such an important concern for enterprises; why it is a strategic consideration; why it rises to the level of the board of directors’ attention; and how it differs from corporate social responsibility (CSR) in that it requires the company’s […]

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IT and Environmental, Social, and Corporate Governance (ESG), Part One: A CEO and Board Concern

Environmental and social governance, or ESG, is a growing concern for business leaders—and for government regulators, investors, and standards bodies. Recent events have only increased the business world’s focus on ESG: worker wellness has become a major concern during the COVID-19 pandemic; social justice protests have drawn attention to gaps in diversity, equity, and inclusion; […]

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