AWS Cloud Enterprise Strategy Blog

Responsible AI is the practice of designing, developing, and using AI technology with the goal of maximizing benefits and minimizing risks. It’s now a business imperative. Accenture’s Technology Vision 2025 report reveals that 77% of executives believe that the true benefits of AI will only be possible when built on a foundation of trust.1 As […]

Your stakeholders expect you, as a technology leader in life sciences, to master generative AI, implement next-generation sequencing platforms, and deploy digital twins for clinical trials—all while accelerating innovation, increasing delivery speed, and managing costs. And of course you have to do this with your existing team. Just don’t forget to maintain flawless system uptimes […]

Driving successful innovation quickly is a major challenge for many organizations, even in the generative AI era. Only 21% of organizations achieve their innovation goals.1 The typical concept-to-launch journey still takes about 22 months, and 82% of engineers say they’re “constantly looking” for ways to speed it up.2 Slow go-to-market timelines mean missed opportunities and […]

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.