A discussion at lunch one day last week during the CIO 100 conference leads to this question: how do you think about bleeding edge technologies?Let’s start by acknowledging that bleeding-edge has negative connotations for a lot of people. Just think for a minute about the imagery. Bleeding edge evokes danger. It’s something you have to fight with in order to get it to work. Engage in that battle, and you might survive, but you’ll get bloodied in the process. Living on the bleeding-edge takes courage—and only companies with deep pockets or startups operating out of a garage ought to take up the challenge.But my conversation with a couple of IT executives has me thinking about an alternative vision for the bleeding edge. These execs are working in organizations that are, at their most daring, fast followers. And yet, they see a place for emerging, risky technologies in their portfolios. The reason is that until you start messing around with new stuff, you can’t answer the question about whether it might provide a competitive advantage or suggest a new business model. SUBSCRIBE TO OUR NEWSLETTER From our editors straight to your inbox Get started by entering your email address below. Please enter a valid email address Subscribe And if it does, then bleeding-edge technology starts to drive innovation. And it offers a value proposition that, while still risky, has a potentially big payoff. So these IT execs in these conservative companies make small investments in technologies that look promising for their organizations. The implication here is that even a company that is uncomfortable adopting a new technology until someone else works out the bugs can’t really afford to wait to check it out.The bleeding-edge might be your competitive edge. And it starts to look smart, rather than dangerous. Related content feature 4 reasons why gen AI projects fail Data issues are still among the chief reasons why AI projects fall short of expectations, but the advent of generative AI has added a few new twists. By Maria Korolov Oct 04, 2023 9 mins Data Science Machine Learning Artificial Intelligence feature What a quarter century of digital transformation at PayPal looks like Currently processing a volume of payments worth over $1.3 trillion, PayPal has repeatedly staked its claim as a digital success story over the last 25 years. But insiders agree this growth needs to be constantly supported by reliable technological ar By Nuria Cordon Oct 04, 2023 7 mins Payment Systems Digital Transformation Innovation news analysis Skilled IT pay defined by volatility, security, and AI Foote Partners’ Q3 report on IT skills pay trends show AI and security skills were in high demand, and the value of cash-pay premiums was more volatile but their average value across a broad range of IT skills and certifications was slightly do By Peter Sayer Oct 04, 2023 6 mins Certifications Technology Industry IT Skills brandpost Future-Proofing Your Business with Hyperautomation By Veronica Lew Oct 03, 2023 7 mins Robotic Process Automation Podcasts Videos Resources Events SUBSCRIBE TO OUR NEWSLETTER From our editors straight to your inbox Get started by entering your email address below. Please enter a valid email address Subscribe