AWS Cloud Enterprise Strategy Blog

Organizations can bridge the widening gap between exponential technological advancement and slower organizational change by implementing three key practices: elevating operations through simplification and autonomy, energizing employees through curiosity and education, and envisioning clear business goals that connect technology initiatives to meaningful outcomes.

Traditional organizational operating models built for stability are hindering enterprise innovation and agility in rapidly changing markets, but implementing autonomous teams—starting with small, customer-facing initiatives led by empowered single-threaded leaders—can help organizations balance necessary control with the speed and adaptability required to remain competitive.

Despite projected increases in global IT spending to $5.7 trillion by 2025, companies remain caught in a funding dilemma where 70-80% of budgets maintain existing systems rather than driving innovation. Organizations can break this cycle through zero-based budgeting, innovation capacity reinvestment programs, modern FinOps for cloud optimization, and portfolio rationalization to unlock resources for growth.

In response to CFOs demanding returns on technology investments, CTOs must measure software development productivity across four dimensions—business value, speed to market, delivery reliability, and team health—to effectively demonstrate how their teams create measurable impact and business growth.

Most corporate value statements fail to live up to expectations. Words like “Integrity” and “Innovation” sit on walls and websites with little impact on daily decisions. A 2020 MIT Sloan study found little to no correlation between most companies’ stated values and their organization’s culture. Whether you run a startup or a global organization, you’ve […]

Software development teams have always struggled to deliver features within the timeframe that businesses and customers expect. A recent BCG study found that over a third of respondents’ internal software development projects were delayed. Late delivery delays ROI and frustrates everyone involved. Organizations face numerous challenges when accelerating software delivery, but one stands out for its outsized […]

Traditional feedback methods, like the sandwich approach or harsh criticism, are being replaced by more effective feedback strategies that focus on excellence, real-time reactions, and coaching-style interactions to build organizational learning and intelligence.

Navigating technological upheaval requires foresight – this insightful guide explores emerging trends like AI, cloud, IoT, and data explosion poised to upend industries, urging executives to experiment and strategize proactively to stay ahead of disruptive forces.

Harvard Business Review Analytic Services has conducted sponsored research to gain insight into how organizations are currently using data, with a particular focus on its application to generative AI. The resulting report, titled “Scaling Generative AI for Value: Data Leader Agenda for 2025,” examines trends across various industries and companies worldwide. Prior sponsored research with […]

The Data Hoarding Trap Many organizations are guided by the adage “Knowledge is power.” Teams closely guard their data to maintain an internal competitive edge. But what if this mentality is holding your company back? Imagine your marketing team has gathered valuable data on customer preferences but fails to share that information with your product […]