CIO Business Intelligence

JULY 31, 2023

As vendors add generative AI to their enterprise software offerings, and as employees test out the tech, CIOs must advise their colleagues on the pros and cons of gen AI’s use as well as the potential consequences of banning or limiting it. Douglas Merrill, a partner at management consulting firm McKinsey & Co.,

Strategy 95

Strategy Risk Enterprise Risk Management 95

IBM Big Data Hub

SEPTEMBER 20, 2022

It’s how top organizations improve customer interactions and accelerate time-to-market for goods and services. Often data scientists aren’t thrilled with the prospect of generating all the documentation necessary to meet ethical and regulatory standards. Processes that provide AI governance.

Metadata 57

Metadata Machine Learning Data-driven Modeling 57

erwin

MARCH 12, 2020

It also highlights select enterprise architecture management suite (EAMS) vendors based on size and functionality, including erwin. The report notes six primary EA competencies in which we excel in the large vendor category: modeling, strategy translation, risk management, financial management, insights and change management.

Enterprise 85

Enterprise Reporting Management ROI 85

erwin

JUNE 14, 2019

Its past successes – and future potential – are well documented, chronicled in the billion-dollar valuations of the frontrunners in the practice. The following three examples highlight the extent to which digital transformation is reshaping the nature of business and government and how we – as a society – interact with the world.

Digital Transformation 111

Digital Transformation Data Governance Risk Data-driven 111

O'Reilly on Data

JULY 15, 2019

In recent posts, we described requisite foundational technologies needed to sustain machine learning practices within organizations, and specialized tools for model development, model governance, and model operations/testing/monitoring. Note that the emphasis of SR 11-7 is on risk management.). Sources of model risk.

Machine Learning 38

Machine Learning Management Enterprise Risk Management 38

bridgei2i

JULY 28, 2020

We need people who can test. So, then we need systems, analysts, database administrators, people who can set in place, these types of backup systems for risk management. SERIES: COVID 19 | Redefining Digital Enterprises.

Enterprise 98

Enterprise Digital Transformation Insurance B2B 98

Grooper

OCTOBER 23, 2019

I get to interact with a lot of companies who are on the leading edge of brilliant use-cases for innovating processes and workflows with data. Responsibility for managing your company’s data must be clearly defined and supported. A healthy system includes a documented plan for how decisions are made regarding your organization’s data.

Metrics 59

Metrics Measurement Strategy Optimization 59

DataRobot Blog

JULY 21, 2022

Document assumptions and risks to develop a risk management strategy. Discuss how the stakeholders want to interact with the machine learning model after it is built. Define the exact calculation for the target variable or create a couple options to test. Test for bias to ensure fairness.

Machine Learning 98

Machine Learning Metrics Modeling Testing 98

AWS Big Data

AUGUST 14, 2023

Earlier in their lifecycle, data products may be measured by alternative metrics, including adoption (number of consumers) and level of activity (releases, interaction with consumers, and so on). Availability Management X X. Capacity and Performance Management X X. Incident Management X X. Measurement and Reporting X X.

Management 76

Management Risk Measurement Optimization 76

DataRobot

SEPTEMBER 16, 2021

Pricing actuaries can test various advanced algorithms with minimal setup, including XGBoost, GBM, ENET, and GAM. Interactions + customer-controlled interactions. Pricing actuaries are increasingly recognizing the importance of interactions and are incorporating them in their pricing models. Compliance documentation.

Modeling 52

Modeling Insurance Cost-Benefit Machine Learning 52

IBM Big Data Hub

APRIL 4, 2024

Document-centric BPM is for efficiently managing documents and content—such as contracts—within processes. Also, BPM provides real-time insights into compliance metrics and risk exposure, enabling proactive risk management and regulatory reporting.

Management 60

Management Cost-Benefit Metrics Consulting 60

Cloudera

NOVEMBER 18, 2021

This allows for an omni-channel view of the customer and enables real-time data streaming and a safe zone to test machine learning models using Cloudera Data Science Workbench (CDSW). The variety of formats, unstructured nature, and dispersed location of these documents present several challenges for critical business decisions.

Data Lake 74

Data Lake Cost-Benefit Digital Transformation Risk 74

O'Reilly on Data

OCTOBER 18, 2022

As AI technologies are adopted more broadly in security and other high-risk applications, we’ll all need to know more about AI audit and risk management. AI audits and assessments may focus on bias issues or other serious risks including safety , data privacy harms , and security vulnerabilities. For our audits, BNH.AI

Risk Management 291

Risk Management Risk Testing Measurement 291

Domino Data Lab

APRIL 3, 2019

Also, while surveying the literature two key drivers stood out: Risk management is the thin-edge-of-the-wedge ?for They sold off most of the company later, retaining some of its IP, and are known to have kept copies of internal documents. That definition plus the one-liner provide good starting points. a second priority?at

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

DataRobot Blog

DECEMBER 20, 2022

We’ll then empirically test this assumption based on an example of real estate asset assessment. This may be the case, for example, when asset managers or real estate servicers would like to assess the value of Non-Performing Loans (NPL) portfolios or appraisers when carrying out property’s valuations that comply with national regulations.

Management 59

Management Machine Learning Optimization Modeling 59

CIO Business Intelligence

APRIL 12, 2022

Even though Nvidia’s $40 billion bid to shake up enterprise computing by acquiring chip designer ARM has fallen apart, the merger and acquisition (M&A) boom of 2021 looks set to continue in 2022, perhaps matching the peaks of 2015, according to a report from risk management advisor Willis Towers Watson. Precisely buys PlaceIQ.

Enterprise 142

Enterprise Technology Consulting Software 142