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This post covers the two layers that sit on top of the model and largely determines what an AI system can actually accomplish.
A convolution is a mathematical operation on two discrete sequences (or continuous functions) that produces a new sequence (or function). In probability and statistics, a convolution is closely associated with the concept of a "moving window," which time series analysts often call a "filter." If you have ever smoothed a
Getting an AI agent to complete a task is a meaningful milestone. But for enterprise AI agents, “it works” is only the beginning. The bigger question is whether the agent can perform reliably, efficiently and consistently enough to move into production. That means looking beyond a successful output. Could the
Imagine a mother arriving at a rural clinic just as daylight disappears. She is in labor and although the health worker is ready to care for her, skill and dedication alone are not enough. In that moment, light is a necessity. Reliable solar power is not just an infrastructure improvement.
How do you make sure every dollar, program and partnership creates the greatest possible impact? Surprisingly, this question first came up around our Thanksgiving dinner table last year. My sister-in-law, Paula, works for the Kay Yow Cancer Fund, an organization dedicated to supporting underserved women facing cancer through research, education
Governments are becoming more dependent on digital systems; at the same time, they are asking a fundamental question: How much control do they really have over them? Maintaining that control is at the heart of digital sovereignty. Government organizations must remain accountable for how data is collected, used and protected;
For years, health care leaders have agreed on the promise of value-based care. Align incentives. Improve outcomes. Reduce unnecessary utilization. Create a better experience for patients and providers. But in the U.S. commercial health care market, agreement on the promise has not always produced agreement on the proof. Health plans,
Las inteligencias artificiales no mienten a propósito, pero eso no significa que digan siempre la verdad. Utilizan la probabilidad para decidir su respuesta y eso siempre conlleva un riesgo. A veces inventan datos, nombres o fuentes con la misma naturalidad con la que aciertan, y ahí está el problema: no
Authors: Jennifer Hargrove and Ruth Baldasaro As technology continues to evolve rapidly, ethically centered model design is becoming increasingly important. In this post, we provide a brief overview of SAS Models and describe how all SAS models are built using SAS’ core principles for responsible innovation. SAS Models are built
While researching a topic in probability, I encountered a special mathematical function that I had not previously known about. The function is called Owen's T function (Owen, 1956, Ann. Math. Stat.). It is useful for computing multivariate probabilities, for defining the skew-normal distribution, and for computing probabilities associated with certain
Decisioning is now core to how marketers compete. Nine out of 10 marketers have seen increased ROI through personalization strategies and consumers are 80% more likely to purchase from companies offering tailored experiences, according to DemandSage research. And the market is voting with its budget. According to Grand View Research,
Organizations getting real value from AI are not simply investing more. They’re building stronger foundations across strategy, data, governance, adoption and measurement. Here’s what successful AI leaders do differently. Most SMBs are investing in AI, running pilots and experimenting with new use cases. Yet only 9% have fully embedded AI
Współczesne organizacje dysponują ogromnymi ilościami danych nieustrukturyzowanych, na które typowo składają się: analizy i raporty, wewnętrzna i zewnętrzna korespondencja, instrukcje, procedury i polityki, dokumentacja techniczna, materiały szkoleniowe itd. W swoim raporcie Gartner szacuje, że stanowią one obecnie od 80% do 90% wszystkich nowych danych generowanych w przedsiębiorstwach i rosną w
Most lending teams don’t wake up one morning and decide they’re comfortable taking on more risk. It builds over time – gradually enough that it’s easy to miss until there’s a real problem to deal with. In captive finance organizations, that shift is rarely isolated. It’s usually tied to something