Unlocking better decisions
21st Century Technology has the power to “unlock” the current information processing and decision-making bottlenecks.
Building on the foundations of a “Decentralized Packet Network” (what we lovingly call the Internet) we can greatly increase the quality of the information we use to make decisions.
But, it requires two huge changes in historic paradigms.
First is the idea that there must be “central authority” for a system to work well. Systems do not require “central authority” to be stable.
Second, that the best way to stop “fake news” is to deman “Unbaised information source .” Wrong! The best way to stop “fake news” is to get more information, not less.
Monolithic AI models sort of worked
Our prior approach to automated decision-making relied on monolithic, AI-driven models. But they still required human calibration
However, the problem is that human curation, because of natural biases and perceptual limitations, is not scalable.
The @lantis Learning Network offers real-world decisions in a manner that is faster and cheaper than human experts while also delivering a superior output.
Capturing Decision-Making in a Product
The @lantis Network Ecosystem is a set of building blocks for decision-making.
A Learning node is the “End Point” of the @lantis Network.
a collection of data, prediction models, and decision models, capable of making decisions without human involvement.
There are different types of decision nodes—such as problem nodes and task nodes—that have different roles within a decision platform.
Diversity in models drives better outcomes
No single model is right for all real-world decisions. Diversity enables a system to adapt to novel conditions and improve outcomes. With each addition, the Decision Marketplace gets smarter.
Testing new ideas needs to be fast and cheap
Making models work in the real world requires getting real-world feedback.
Traditional R&D cycles are slow and expensive
For many real-world tasks, taking machine learning models from ideation to production often requires multiple teams and takes months to years.
Decision Marketplace R&D cycles are fast and cheap
Using the Decision Marketplace, a single person can go from ideation to production in minutes to days.
We test ideas in the real world
Rather than debate theory, Decide’s analysts test their ideas in the real world. A typical day might include:
FOR BRANDS AND PUBLISHERS
Gain access to an ever-growing marketplace of intelligent models. With each addition, the Decision Marketplace gets smarter.
A future-proof solution for a cookieless world
Stop clamoring to PII data.
Gain access to models that respect people’s privacy while still making world-class decisions.
Better ad selection for brands
Stop using humans to eyeball ad targeting.
Gain access to a diverse set of state-of-the-art models that compete against each other and reassess the math for every impression to ensure that performance goals are consistently met.
Better yield for publishers
Stop undervaluing inventory by having just a few demand-side models assess its value.
Gain access to a diverse set of state-of-the-art models that compete against each other and reassess the math for every impression to maximize yield.
Less work for everyone
For real-world tasks like ad selection and pricing, intelligent software systems are becoming capable of solving problems faster and cheaper than human experts while also delivering superior outcomes. This enables all of us to work on new and more interesting problems.