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What policymakers need to know about foundation models

IBM Big Data Hub

This wave of AI is attributable to what are known as foundation models. What are foundation models? As the name suggests, foundation models can be the foundation for many kinds of AI systems. Using machine learning techniques, these models apply information learned about one situation to another situation.

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Trust: The foundation for successful digital transformation

CIO Business Intelligence

The Implications When it comes to establishing trust, organizations currently fall into two very different camps: On one hand, there are organizations in which teams are struggling with unrealistic strategies and manually maintained spreadsheets. Ultimately, these businesses run the increasing risk of falling behind in their markets.

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What Is Model Risk Management and How is it Supported by Enterprise MLOps?

Domino Data Lab

Model Risk Management is about reducing bad consequences of decisions caused by trusting incorrect or misused model outputs. Systematically enabling model development and production deployment at scale entails use of an Enterprise MLOps platform, which addresses the full lifecycle including Model Risk Management.

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Dump the RFP to reap better outsourcing results

CIO Business Intelligence

Kate Vitasek / University of Tennessee A University of Tennessee white paper — Unpacking Competitive Bidding Methods: The Essential ABCs of the Various RFX Methods — provides insight into the what, why, and how of the most popular bid methods. Outsourcing

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Post-Pandemic Enterprise Architecture Priorities

erwin

In a world where agility and innovation are highly valued, speed is a critical factor for success.COVID-19 forced many businesses to radically change their business models – or re-evaluate their business processes – shifting the focus of enterprise architects. The top priority became mobility through a cloud-first strategy.

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Five Ways AI Can Help States Solve Their Hardest Problems (Part 1): Enhance Crisis Response

DataRobot

As a result, policymakers are left without enough time to create and implement targeted, localized strategies in time to prevent outbreaks. On average, DataRobot forecasts had a 21 percent lower rate of error than all other published competing models over a six to eight week period. White Paper. reporting backlogs).

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Using Strategic Data Governance to Manage GDPR/CCPA Complexity

erwin

So it’s important to understand how to use strategic data governance to manage the complexity of regulatory compliance and other business objectives … Designing and Operationalizing Regulatory Compliance Strategy. First you need to analyze and design your compliance strategy and tactics, and then you need to operationalize them.