Decision-makers have essentially 3-4 options – approve, decline, or ask for more data. Delaying a decision is a decision, suffice that some actions may have dependencies or are of a secondary priority. With everyone in your organization having access to “Insights On-Demand” – they’re able to get you the data and their action plans on a vastly accelerated basis.
While developers can only ever become 100% efficient, there is (as yet) no ceiling when it comes to productivity. According to Stripe’s Developer Coefficient, the average team loses about 32% of productivity due to inefficiency. In effect, for every three developers, you’re getting the throughput of two.
Implementing Continuous Integration / Delivery / Deployment can radically enhance productivity – each progressively adds automation to the SDLC. Puppet indicates teams practicing Continuous Deployment have lead times 2,555x faster than manual teams – that a CD team can do in an hour what would take a manual team up to 6 months! They also deploy 200x more frequently and have a 24x faster MTTR.
Your decisions and assistance are invaluable and often of strategic importance. Faster data-driven decisions save time, help optimize developer hours to better meet project requirements. AI helps you address all three challenges (cost, schedule, and specs) in one fell swoop. If today’s tech giants got to where they are mostly without the benefit of AI, it’s worth looking at what you could do with it.
Alpha Centauri is only 4.4 light-years away, and while that may stretch the whole 10x thing a bit… what kind of goals will we be setting 10 years from now?