Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Microprediction: Building an Open AI Network

Microprediction: Building an Open AI Network

Cotton, Peter

Hardcover

General Computers

Currently unavailable to order

ISBN10: 0262047322
ISBN13: 9780262047326
Publisher: Mit Pr
Published: Nov 8 2022
Pages: 232
Weight: 1.05
Height: 1.00 Width: 6.10 Depth: 9.10
Language: English
How a web-scale network of autonomous micromanagers can challenge the AI revolution and combat the high cost of quantitative business optimization.

The artificial intelligence (AI) revolution is leaving behind small businesses and organizations that cannot afford in-house teams of data scientists. In Microprediction, Peter Cotton examines the repeated quantitative tasks that drive business optimization from the perspectives of economics, statistics, decision making under uncertainty, and privacy concerns. He asks what things currently described as AI are not microprediction, whether microprediction is an individual or collective activity, and how we can produce and distribute high-quality microprediction at low cost. The world is missing a public utility, he concludes, while companies are missing an important strategic approach that would enable them to benefit--and also give back.

In an engaging, colloquial style, Cotton argues that market-inspired superminds are likely to be very effective compared with other orchestration mechanisms in the domain of microprediction. He presents an ambitious yet practical alternative to the expensive artisan data science that currently drains money from firms. Challenging the machine learning revolution and exposing a contradiction at its heart, he offers engineers a new liberty: no longer reliant on quantitative experts, they are free to create intelligent applications using general-purpose application programming interfaces (APIs) and libraries. He describes work underway to encourage this approach, one that he says might someday prove to be as valuable to businesses--and society at large--as the internet.

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