KDnuggets
JUNE 12, 2025
Part 3: Calculus When you train a machine learning model, it learns the optimal values for parameters by optimization. And for optimization, you need calculus in action. Image by Author | Ideogram The optimization connection: Every time a model trains, its using calculus to find the best parameters.
CIO Business Intelligence
JULY 1, 2025
The trick is optimizing the amount spent on Context activities — that is, spend as little as possible — such that you can maximize investments in Core capabilities. Are you better at tearing a hole in the fog of uncertainty associated with what comes next than other CIOs? accounts payable at Disney). In Worst-Case Scenarios ,Cass R.
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
KDnuggets
JULY 11, 2025
Traditional machine learning systems excel at classification, prediction, and optimization—they analyze existing data to make decisions about new inputs. Instead of optimizing for accuracy metrics, you evaluate creativity, coherence, and usefulness. This difference shapes everything about how you work with these systems.
CIO Business Intelligence
JULY 1, 2025
In reality, AI systems are dynamic optimizers that learn, adapt and evolve in response to their environment. The agency and autonomy that AI agents embody carry their own risks, but also risks amplifying adverse model behaviors such as reward hacking, short-term proxy optimization and even emergent behaviors such as deception.
Speaker: Gertjan de Lange
If the last few years have illustrated one thing, it’s that modeling techniques, forecasting strategies, and data optimization are imperative for solving complex business problems and weathering uncertainty. Don't let uncertainty drive your business. Watch this exclusive demo today!
David Menninger's Analyst Perspectives
MAY 20, 2025
We live in a time of uncertainty, not unpredictability. If the shutdown stretches into weeks or months, what is the best response, including the optimal allocation of available products? They must be able to guide senior leadership teams in developing optimal responses to potential disruptions and a range of business environments.
O'Reilly on Data
MARCH 25, 2025
Slow response/high cost : Optimize model usage or retrieval efficiency. Business value : Align outputs with business metrics and optimize workflows to achieve measurable ROI. LLM-powered software amplifies this uncertainty further. Wrong document retrieval : Debug chunking strategy, retrieval method. Evaluation : Same as above.
Expert insights. Personalized for you.
Let's personalize your content