Embrace a better way...
Tom Mitchell-Taverner
GAICD. Business Manager. Growth Leader. Entrepreneur. Talk to me about hard to reach audiences, technology, empowerment, operational efficiencies, and a whole-business approach to AI.
It is common knowledge now that Artificial Intelligence excels at automating repetitive, data-driven tasks such as processing datasets and logical reasoning, performing natural language processing, and generating content summaries, code, or reports. We know that AI can optimize processes, recommend personalized content, and enhance decision-making. We also know that capabilities extend to image recognition, human-like chatbots, avatars and creative tasks like generating art or music.
With this in mind there is no industry, or person, on the planet that will not be impacted on the macro or micro level in the post AI world. Some will use it for evil, some will use it to improve lives and solve the world's biggest problems, and others will use it for commercial gain.
On a commercial level, Artificial Intelligence will see successful businesses embrace better ways of doing things, it is inevitable, and those who are not open to a wholistic approach to AI will struggle to compete.
Over the past week I have put together some things to consider from a commercial perspective, and I am interested in your views:
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So, what else needs to be considered, and is your business up for the challenge?
Some companies looking to do interesting things in this space that I have spoken to this week include Decidr (powering transformative AI for business) and Springboards.ai (a creative agency combining agency intuition with AI). Unrelated to AI but a cool start-up (who are probably all over it under the hood) is BlueSana (an ESG investment platform for sophisticated investors).
Have a great weekend!
Chief Product Officer | Ex-Google | Climate & Sustainability | Automation & GenAI Enthusiast
4 个月Interesting read. Sustainability is another aspect that is widely discussed and should be considered; accounting for the environmental impact of AI development and deployment. Optimizing algorithms and infrastructure to reduce energy consumption and carbon footprints.