AWS Cloud Enterprise Strategy Blog
Tag: Experimentation
Digital Transformation: the Why, Who, How, and What – Part 4, “The What”
In part three, ‘The How’ blog post, we covered best practices for transformational processes, and how you can use the digital-transformation process framework to deliver an effective transformation. In this blog post, we dive deeper into the technologies that enable digital transformation. Contemporary Technology Requirements The rising expectations of customers and employees, due to the […]
Making Artificial Intelligence Real
“We need to be an AI-enabled company.” Replace the “AI” with any technology from history and this comment becomes a common refrain across businesses lured by the promises of new technology and fuelled by FOMO (a fear of missing out). As enterprise strategists and former CXOs who have lived through many “technology is the solution, […]
Surviving Digital Disruption: Transforming Without Rebooting
Think of an industry that isn’t affected by the digital revolution in any way. One that can keep operating as it has been without any fear of disruption or need for change. When we tried this exercise at a workshop, we also couldn’t think of many. Funeral homes sprang to mind, but managing a person’s […]
Surviving Digital Disruption: Buy Yourself Some Options
Every Board of Directors should be asking their executive team how they plan to deal with digital disruption. Even if a company is not yet facing disruption, it surely soon will be. And leaving it up to chance or just proceeding with the status quo is not a viable alternative.
Machine Learning: Avoiding Garbage in, Garbage Out
From speaking with enterprise customers of all shapes and sizes, it is abundantly clear that we all share the same challenges: we’re racing to digitize our businesses, turn stalled progress into frequent innovation, and leverage data and machine learning. However, I feel there’s a gap in understanding how critical […]
AI Explorations of a Former Media CTO (With No Prior Machine Learning Experience)
One of the challenges many enterprise leaders face is how to experiment and quickly create business value from machine learning without establishing large teams with specialized skillsets and infrastructure. As a CTO, I found that having access to Amazon Web Service’s pre-trained AI Services enabled our developers, even those with no prior machine leaning experience, […]
Experiment More, Fail Less
“I never lose. I either win or I learn” Nelson Mandela A phrase that I find is not resonating well with enterprise executives is “fail fast.” Despite the best attempts to justify this exhortation, executives at an airline, financial, or restaurant company are clearly not going to embrace accepting a philosophy where the wrong type of […]
Please Do Not Take More Risks
Sometimes I think IT leaders are missing a key point in the way they speak to their non-technology counterparts. Case in point: we keep saying things like, “The company has to be more comfortable taking risks,” or “We have to fail fast,” or “We need to be less risk-averse.” I can guarantee that none of […]
Shiny Objects and Professionalism
An interesting question arose at one of my customer meetings recently. We were discussing the importance of innovation; in particular, how important it was for technology staff to stay abreast of new technologies to see whether they could add value to the enterprise. We agreed that current best practices suggest conducting rapid experiments to test […]
4 Dos and Don’ts When Using the Cloud to Experiment
“The best way to show that a stick is crooked is not to argue about it or to spend time denouncing it, but to lay a straight stick alongside it” ― D.L. Moody In my last post, I described how the cloud is making experimentation easier, cheaper, and less risky for companies of all shapes and […]