O'Reilly on Data

OCTOBER 13, 2020

Similarly, in “ Building Machine Learning Powered Applications: Going from Idea to Product ,” Emmanuel Ameisen states: “Indeed, exposing a model to users in production comes with a set of challenges that mirrors the ones that come with debugging a model.”. The field of AI product management continues to gain momentum.

Management 246

Management Metrics Machine Learning Modeling 246

Sisense

AUGUST 6, 2020

Notice how the chatbot in this case guides the discussion with questions on a specific topic. In Augmented Apps , we examine how product teams are exploring AI and ML to make their products more intuitive and enhance the user experience. Datasets have quickly grown too huge, complex, and fast-moving for humans to grapple with.

Management 95

Management Machine Learning Key Performance Indicator Cost-Benefit 95

Cloudera

SEPTEMBER 7, 2023

With the emergence of new creative AI algorithms like large language models (LLM) fromOpenAI’s ChatGPT, Google’s Bard, Meta’s LLaMa, and Bloomberg’s BloombergGPT—awareness, interest and adoption of AI use cases across industries is at an all time high. It’s the most revolutionary technological development in at least a generation.

Insurance 78

Insurance Risk Data-driven Modeling 78

IBM Big Data Hub

APRIL 4, 2024

Get the COO’s Pocket Guide to Enterprise-wide Intelligent Automation 3 main types of business process management Integration-centric BPM focuses on processes that don’t require much human involvement. Business Process Management (BPM) is a systematic approach to managing and streamlining business processes.

Management 60

Management Cost-Benefit Metrics Consulting 60

DataRobot

DECEMBER 6, 2021

Data scientists have been so preoccupied with whether they could build an algorithm, they didn’t stop to think about whether they should. In January 2020, the World Economic Forum published the Implementation and Self-Assessment Guide for Organizations. Narrow Intelligence is Brittle. When the world changes (e.g.,

Data-driven 52

Data-driven Risk Publishing Risk Management 52

IBM Big Data Hub

SEPTEMBER 18, 2023

This is largely driven by a realization that we’ve crossed a new threshold with respect to AI maturity, introducing a new, wider spectrum of possibilities, outcomes and cost benefits to society as a whole. How do you secure AI models? In other words, to secure AI, we are not confined to the models and data solely.

Modeling 86

Modeling Enterprise Testing Cost-Benefit 86

The Unofficial Google Data Science Blog

JANUARY 31, 2017

Take, for instance, how each field views the provenance of the training data when building predictive models. Take, for instance, how each field views the provenance of the training data when building predictive models. In this case, whether or not we decide to carry an umbrella clearly doesn't affect the weather.

Machine Learning 73

Machine Learning Modeling Statistics Predictive Modeling 73

Occam's Razor

FEBRUARY 25, 2013

This blog is centered around creating incredible digital experiences powered by qualitative and quantitative data insights. In part two, we are going to build on the formula and create a model (ok, spreadsheet :)) that you can use to compute ROA for your own company. We'll have a lot of detail in the model.

Analytics 142

Analytics ROI Marketing Modeling 142

Domino Data Lab

AUGUST 1, 2021

In this article we cover explainability for black-box models and show how to use different methods from the Skater framework to provide insights into the inner workings of a simple credit scoring neural network model. The interest in interpretation of machine learning has been rapidly accelerating in the last decade.

Modeling 139

Modeling Deep Learning Machine Learning Knowledge Discovery 139