A single supply chain disruption today can erase millions in revenue and years of carefully built customer trust. While most organizations struggle with the balance between lean operations and reliability, some companies have discovered a different path. These market leaders have replaced traditional buffer strategies with a more responsive, efficient way to manage supply chains. […]| Amazon Web Services
Fortune 500 CEOs face a choice in 2025: Migrate to the cloud now and capture its powerful advantages or watch competitors build their leads while you continue with legacy infrastructure. That might sound dramatic, but several converging forces make now the right moment to move to the cloud if you haven’t already done so. In […]| Amazon Web Services
AI agents are as transformative as the advent of the internet. They will change how we organize work, manage operations, and drive value A question I often hear from AWS customer executives is how they should think about leading in this new era. I use the same mental models I use to lead my most […]| AWS Cloud Enterprise Strategy Blog
As an Enterprise Strategist, I’ve noticed that discussions about multicloud are often marked by confusion and contradictory advice. Some advisers warn against adopting a multicloud strategy, while others suggest that you will miss an industry-wide transformation if you don’t. There are legitimate reasons for and against multicloud strategies; success depends on balancing potential business value […]| AWS Cloud Enterprise Strategy Blog
AWS achieved a 15.9% year-over-year cost reduction by measuring the total economic cost of delivering software units rather than relying on traditional development productivity metrics.| Amazon Web Services
As organizations deploy generative AI technologies, they face challenges including lack of expertise, fragmented governance, unclear accountability, and immature tooling—issues that can be addressed through an integrated framework of governance mechanisms, repeatable processes, and embedded safeguards.| Amazon Web Services
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 […]| Amazon Web Services
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 […]| Amazon Web Services
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.| AWS Cloud Enterprise Strategy Blog
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.| AWS Cloud Enterprise Strategy Blog
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.| Amazon Web Services
Modern organizations have significantly increased investments in software development to support digital transformation. According to a 2024 IBM CFO study, 65% of CFOs report mounting pressure to demonstrate returns on their technology investments. This creates a challenge for CTOs and technology leaders: How do you prove your software development teams deliver value efficiently? As a […]| AWS Cloud Enterprise Strategy Blog
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 […]| AWS Cloud Enterprise Strategy Blog
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 […]| Amazon Web Services
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.| Amazon Web Services
Everything is changing everywhere all at once. Executives must track technology and business trends that (a) create opportunities for innovation and growth and (b) may disrupt and reshape entire industries. The blog post “How Executives Can Avoid Being Disrupted by Emerging Technologies” discusses how to determine which trends will matter and how to experiment with […]| AWS Cloud Enterprise Strategy Blog
For the third consecutive year, HBR Analytics Services has researched contemporary data use, focusing on its applicability to generative AI. The report—“Scaling Generative AI for Value: Data Leader Agenda for 2025”—spans multiple industries and companies globally. It’s time as conversations have noticeably pivoted from abstract use cases and generative AI pilots to a desire to […]| AWS Cloud Enterprise Strategy Blog
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 […]| Amazon Web Services
Digital transformation can offer organizations improved efficiency, enhanced customer experiences, and the ability to stay competitive, but the journey is often fraught with challenges. One key hurdle is motivating employees to embrace new technologies and ways of working. An innovative approach to overcoming these challenges is gamification, a strategy that uses game-like elements to engage […]| AWS Cloud Enterprise Strategy Blog
The exponential growth of enterprise data presents unprecedented opportunities for innovation, yet many organizations struggle to capitalize on it due to inadequate data governance. A robust governance framework is crucial for future-proofing and maintaining competitiveness. Effective data governance rests on four pillars: Data visibility: Clarify available data assets to inform decision-making. Access control: Balance accessibility […]| AWS Cloud Enterprise Strategy Blog
Balance security with innovation - seamlessly integrate compliance controls behind intuitive self-service capabilities to empower data-driven productivity and agility.| Amazon Web Services
For maximum generative AI impact, centralize foundations (infrastructure, data governance) but decentralize innovation across business domains. This hybrid model balances robust AI governance with agile delivery, enabling rapid prototyping aligned with strategic goals.| Amazon Web Services
With AI's rapid evolution, boards face multi-faceted risks requiring diverse oversight, technical expertise, agile risk-mitigation, clear values guiding deployment, and robust cybersecurity - proactively managing uncertainties while capturing AI's transformative potential.| Amazon Web Services
Data powers groundbreaking generative AI; curate diverse, high-quality datasets to cultivate innovation, while mitigating risks and biases.| Amazon Web Services
Generative AI demands a pragmatic strategy to identify value, embrace agility, scale intelligently, experiment rapidly, and prioritize responsible deployment.| Amazon Web Services
For more than a decade, organizations have embraced data lakes to overcome the technical limitations of data warehouses and evolve into more data-centric entities. While many organizations have used data lakes to explore new data use cases and improve their data-driven approaches, others have found the promised benefits hard to achieve. As a result, the […]| Amazon Web Services
When meeting with security, risk, and compliance executives who have yet to start their cloud transformation or who already have multiple cloud workloads in AWS, I am often asked a version of the following question: “While we agree that the cloud is the new normal, it is different than running security on premise in the […]| Amazon Web Services
