London Futurists
Introducing Decision Intelligence, with Steven Coates
This episode features the CEO of Brainnwave, Steven Coates, who is a pioneer in the field of Decision Intelligence.
Decision Intelligence is the use of AI to enhance the ability of companies, organisations, or individuals to make key decisions - decisions about which new business opportunities to pursue, about evidence of possible leakage or waste, about the allocation of personnel to tasks, about geographical areas to target, and so on.
What these decisions have in common is that they can all be improved by the analysis of large sets of data that defy attempts to reduce them to a single dimension. In these cases, AI systems that are suited to multi-dimensional analysis can make all the difference between wise and unwise decisions.
Topics discussed in this episode include:
*) The ideas initially pursued at Brainnwave, and how they evolved over time
*) Real-world examples of Decision Intelligence - in the mining industry, the supply of mobile power generators, and in the oil industry
*) Recommendations for businesses to focus on Decision Intelligence as they adopt fuller use of AI, on account of the direct impact on business outcomes
*) Factors holding up the wider adoption of AI
*) Challenges when "data lakes" turn into "data swamps"
*) Challenges with the limits of trust that can be placed in data
*) Challenges with the lack of trust in algorithms
*) Skills in explaining how algorithms are reaching their decisions
*) The benefits of an agile mindset in introducing Decision Intelligence.
Music: Spike Protein, by Koi Discovery, available under CC0 1.0 Public Domain Declaration
Some follow-up reading:
https://brainnwave.ai/
With a new episode every Wed morning, the Climate Confident podcast is weekly podcast...
Listen on: Apple Podcasts Spotify
This episode features the CEO of Brainnwave, Steven Coates, who is a pioneer in the field of Decision Intelligence.
Decision Intelligence is the use of AI to enhance the ability of companies, organisations, or individuals to make key decisions - decisions about which new business opportunities to pursue, about evidence of possible leakage or waste, about the allocation of personnel to tasks, about geographical areas to target, and so on.
What these decisions have in common is that they can all be improved by the analysis of large sets of data that defy attempts to reduce them to a single dimension. In these cases, AI systems that are suited to multi-dimensional analysis can make all the difference between wise and unwise decisions.
Topics discussed in this episode include:
*) The ideas initially pursued at Brainnwave, and how they evolved over time
*) Real-world examples of Decision Intelligence - in the mining industry, the supply of mobile power generators, and in the oil industry
*) Recommendations for businesses to focus on Decision Intelligence as they adopt fuller use of AI, on account of the direct impact on business outcomes
*) Factors holding up the wider adoption of AI
*) Challenges when "data lakes" turn into "data swamps"
*) Challenges with the limits of trust that can be placed in data
*) Challenges with the lack of trust in algorithms
*) Skills in explaining how algorithms are reaching their decisions
*) The benefits of an agile mindset in introducing Decision Intelligence.
Music: Spike Protein, by Koi Discovery, available under CC0 1.0 Public Domain Declaration
Some follow-up reading:
https://brainnwave.ai/
With a new episode every Wed morning, the Climate Confident podcast is weekly podcast...
Listen on: Apple Podcasts Spotify