Advanced Technologies and AI Strategy
You Are Not Missing Out
Many technologies, including AI, exist in their current shape because of past investments in Fundamental Research and/or Intelligence Communities (IC). Then Big Tech is usually able to scale the new technologies for consumer applications. Then all sorts of organizations and enterprises join in, adding components (including people, positions, offices, assets) and layers to so that the new technology integrates into existing (or brand new) infrastructures, operations, and processes. Finally the technology fades into the background of everyday life, like electricity, the internet, smart phones, and countless others.
If your organization is embarking on an adoption journey with AI, you need human champions and a strategy. Details of a strategy to integrate AI into the systems supporting your organization can vary between different organizations, but there are also constants:
- improve data quality
- document your complex processes
- ensure solid data and AI governance
- identify the use cases- prioritize and perform a cost benefit analysis.
- choose the AI technology (off the shelf, customize, or build from scratch)
- experiment within limited groups, collect feedback, and improve
- set and monitor processes for Accuracy, Security, Safety, Speed, and Scale
- ensure regulatory compliance and responsible use
- deploy wider, collect feedback, and iterate
- up-skill your organization’s citizens and promote a culture shift towards an enhanced data and AI literacy
- democratize access to AI, with training campaigns, feedback cycles, and good user experiences
