Business Transformation Requires Transformational Leaders

Leadership and teaming skills are front and center in times of rapid change. Meet today’s constant disruption head on with expert guidance in leadership, business strategy, transformation, and innovation. Whether the disruption du jour is a digitally-driven upending of traditional business models, the pandemic-driven end to business as usual, or the change-driven challenge of staffing that meets your transformation plans — you’ll be prepared with cutting edge techniques and expert knowledge that enable strategic leadership.

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Insight

Research organizations love trendy “celebrity” technologies such as artificial intelligence (AI), machine learning, Internet of Things (IoT), blockchain, cybersecurity, distributed clouds, and privacy technology. They’re easy to identify and hype. Many are, in fact, impactful in any given year. But what about the “underdogs”? Can they become “wonderdogs”? In this Advisor, we take a closer look at five underdog technologies that might have a major future impact on our personal and professional lives.
Many think that the more power that we vest in machines, the more harm they will do. But what if we could reverse that? What if we could harness AI and other digital technology to achieve fiducia ex machina: “trust from the machines”?
There are a number of ways citizen development (CD) adoption can accelerate the intended benefits of IT change programs, streamline business cases and proposals, and deliver real savings. This Advisor explores how citizen development and low-code/no-code can add value, even when considering worst-case scenarios.
On 12 May 2021, the US White House issued a presidential executive order (EO) on improving the nation’s cybersecurity. The purpose of this Advisor is to point to this EO as a resource that enterprises should study in some depth as well as to use it as a context to highlight ways to think more fundamentally and timelessly about cybersecurity.
Organizations need to address several issues across four critical steps to make AI work to their best advantage: (1) assess business needs, (2) seek skilled AI people and train staff, (3) identify AI machine learning input data, and (4) choose AI and ML tools. This Executive Update addresses each of the four steps and offers recommendations.

Note from the author: While I often write about organizations and technologies, this Advisor is a bit of a (related and important) tangent, as it focuses on career advancement. Invariably, in working with executives and rising leaders, particularly technology professionals and consultants, conversations turn to career challenges. I have long wanted to author a piece that captures an effective approach that, over many years, has resonated well with business professionals aiming for a promotion and meaningful career advancement.

Discover how fintech can support businesses to not only reopen post-pandemic, but also to develop a robust digital infrastructure that will support growth into the future.
Why do technology projects continue to fail at such an astounding rate? Why has the technical debt metaphor outgrown its original intent and evolved as a company-wide concern? Find out in this latest edition of The Cutter Edge!