CIO Business Intelligence

MARCH 18, 2024

Our data team uses gen AI on Amazon cloud to explore sustainability metrics. In still another implementation, Covanta is using Salesforce’s CRM case management tool to create invoices and enable customers to talk directly to a Salesforce robot to answer any invoice questions. AI tools rely on the data in use in these solutions.

Risk 133

Risk Cost-Benefit Data Processing Testing 133

O'Reilly on Data

DECEMBER 12, 2019

In addition to newer innovations, the practice borrows from model risk management, traditional model diagnostics, and software testing. 8] Data about individuals can be decoded from ML models long after they’ve trained on that data (through what’s known as inversion or extraction attacks, for example).

Machine Learning 191

Machine Learning Modeling Testing Risk Management 191

DataRobot Blog

MAY 26, 2022

To start with, SR 11-7 lays out the criticality of model validation in an effective model risk management practice: Model validation is the set of processes and activities intended to verify that models are performing as expected, in line with their design objectives and business uses.

Risk 52

Risk Modeling Metrics Business Objectives 52

IBM Big Data Hub

DECEMBER 4, 2023

Clearly define the objective of the implementation project and determine its scope, timeline and budget as well as create a risk management plan. This is also the time to determine which data will be migrated, as some older data may be best stored in a secure archive.

Testing 79

Testing Consulting Digital Transformation Cost-Benefit 79

DataRobot Blog

DECEMBER 20, 2022

This usually involved gathering market and property information, socio-economic data about a city on a zip code level and information regarding access to amenities (e.g., You can understand the data and model’s behavior at any time. parks and restaurants), and transportation networks. Rapid Modeling with DataRobot AutoML.

Management 59

Management Machine Learning Optimization Modeling 59

datapine

FEBRUARY 22, 2022

Improved risk management: Another great benefit from implementing a strategy for BI is risk management. Clean data in, clean analytics out. Cleaning your data may not be quite as simple, but it will ensure the success of your BI. Indeed, every year low-quality data is estimated to cost over $9.7

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Key Performance Indicator 218

Alation

NOVEMBER 23, 2021

However it’s defined, data governance is among the hottest topics in data management. Organizations don’t need to spend a lot of money to get data governance. They can improve data quality, security and risk management without the need for an expensive big-bang project.

Data Governance 52

Data Governance Data-driven Data Processing Consulting 52