article thumbnail

What you need to know about product management for AI

O'Reilly on Data

Machine learning adds uncertainty. Underneath this uncertainty lies further uncertainty in the development process itself. There are strategies for dealing with all of this uncertainty–starting with the proverb from the early days of Agile: “ do the simplest thing that could possibly work.”

article thumbnail

Generative AI that’s tailored for your business needs with watsonx.ai

IBM Big Data Hub

This process is designed to help mitigate risks so that model outputs can be deployed responsibly with the assistance of watsonx.data and watsonx.governance (coming soon). Building transparency into IBM-developed AI models To date, many available AI models lack information about data provenance, testing and safety or performance parameters.

Testing 92
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

The Role of Data Governance During A Pandemic

Anmut

Although COVID-19 tracking data is highly complex and is subject to many data quality issues, it is still better to release good-enough data to inform decision making, rather than to take the risk of losing more lives without using any data. COVID-19 exposes shortcomings in data management.

article thumbnail

Machine Learning Product Management: Lessons Learned

Domino Data Lab

He also recommends that PMs refrain from “endless UI changes” on ML projects before the product is put before users because “seemingly small UI changes may result in significant back end ML engineering work” that may put the overall project at risk. Addressing the Uncertainty that ML Adds to Product Roadmaps.

article thumbnail

Serving the Public Through Data

Cloudera

In a world rife with uncertainty, governments need to ensure that their citizens’ health and well-being are taken care of even as they seek to keep their economies afloat. This resulted in staff spending more time on more complex tasks while also reducing human errors and security risks. Providing more value to citizens through data.

article thumbnail

How to Ensure Single Source of Truth Reporting for PeopleSoft

Jet Global

Members of the finance or IT teams have to go hunting through multiple data sources, identifying and integrating the metrics they need to build reports. Since so much of the process is manual, there’s a high risk of human error. Automated Data Collection. Here’s how. Download Now. How accessible?

article thumbnail

Real-Time Insights Help Eliminate Common Financial Reporting Issues

Jet Global

Much of the financial reporting process, including data collection, integration, analysis, and visualization, can now run on autopilot. Contending with Data Errors. Any reporting process that relies on users manually manipulating data is at risk of typos and other human errors compromising that data.