Category: Thought Leadership

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 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.

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.

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 […]