O'Reilly on Data

NOVEMBER 13, 2018

Considerations for a world where ML models are becoming mission critical. As the data community begins to deploy more machine learning (ML) models, I wanted to review some important considerations. Before I continue, it’s important to emphasize that machine learning is much more than building models. Model lifecycle management.

Machine Learning 220

Machine Learning Risk Management Statistics 220

DataRobot Blog

JUNE 27, 2022

In our previous two posts, we discussed extensively how modelers are able to both develop and validate machine learning models while following the guidelines outlined by the Federal Reserve Board (FRB) in SR 11-7. Monitoring Model Metrics.

Risk 59

Risk Modeling Metrics Measurement 59

CIO Business Intelligence

MARCH 24, 2023

It encompasses the people, processes, and technologies required to manage and protect data assets. The Data Management Association (DAMA) International defines it as the “planning, oversight, and control over management of data and the use of data and data-related sources.”

Data Governance 142

Data Governance Management Metadata Data Quality 142

Smart Data Collective

JULY 16, 2023

The Imperative of Risk Mitigation A crucial element in the world of financial investments is effective hedge fund management. Optimizing hedge fund performance requires the implementation of intelligent strategies, from managing risks to maximizing returns, improving investor relations, and adapting to shifting market conditions.

ROI 71

ROI Data Analytics Analytics Risk Management 71

CIO Business Intelligence

JUNE 23, 2023

Other focus areas include data and content management (60%), DevOps (58%), infrastructure and application modernization (58%), automation (57%), and enterprise storage (35%). Risk Management: Risk management is a critical focus for technology professionals.

IT 98

IT Risk Management Risk Optimization 98

DataRobot Blog

MAY 26, 2022

Last time , we discussed the steps that a modeler must pay attention to when building out ML models to be utilized within the financial institution. In summary, to ensure that they have built a robust model, modelers must make certain that they have designed the model in a way that is backed by research and industry-adopted practices.

Risk 52

Risk Modeling Metrics Business Objectives 52

CIO Business Intelligence

DECEMBER 28, 2023

The need to manage risk, adhere to regulations, and establish processes to govern those tasks has been part of running an organization as long as there have been businesses to run. Furthermore, the State of Risk & Compliance Report, from GRC software maker NAVEX, found that 20% described their programs as early stage.

Risk 115

Risk Risk Management Strategy Enterprise 115

Decision Management Solutions

APRIL 23, 2019

, in which he states there are only three levers of value in insurance: Sell More, Manage Risk Better (aka underwriting and adjusting), and Cost Less to Operate. Let’s dive into greater detail on the second lever – Manage Risk Better. Insurers can also manage risk more effectively through continuous improvement.

Insurance 69

Insurance Risk Technology Management 69

CIO Business Intelligence

MAY 2, 2024

Security and risk management pros have a lot keeping them up at night. Using mobile cryptography to determine the authenticity of the device, its operating system, and the app it’s running is a crucial and decisive measure for stopping injection attacks in their tracks.

Strategy 116

Strategy Risk Management Risk Measurement 116

erwin

MARCH 12, 2020

Forrester recently released its “Now Tech: Enterprise Architecture Management Suites for Q1 2020” to give organizations an enterprise architecture (EA) playbook. It also highlights select enterprise architecture management suite (EAMS) vendors based on size and functionality, including erwin. Improve Enterprise Architecture with EAMS.

Enterprise 85

Enterprise Reporting Management ROI 85

IBM Big Data Hub

APRIL 4, 2024

Lots of innovation is happening, with new technologies emerging in areas such as data and AI, payments, cybersecurity and risk management, to name a few. A third-party risk management review, where the ISV needs to describe how it is complying to required controls. Most of these new technologies are born-in-cloud.

Cost-Benefit 60

Cost-Benefit Risk Management Risk Digital Transformation 60

CIO Business Intelligence

MARCH 21, 2024

In addition to rationalizing applications and other tactics you would expect, Lovelady knew establishing influence across McWane would be essential for the IT makeover to succeed, and that in turn would require over-communicating, driving accountability, measuring success, and rewarding high performance. It showed when he presented to them.

IT 112

IT Manufacturing Risk Management Risk 112

CIO Business Intelligence

JUNE 12, 2023

COBIT is an IT management framework developed by the ISACA to help businesses develop, organize, and implement strategies around information management and IT governance. Later, in the 2000s, the ISACA developed version 3, which brought in the IT management and information governance techniques found in the framework today.

Risk Management 94

Risk Management Strategy Digital Transformation Enterprise 94

CIO Business Intelligence

AUGUST 30, 2023

A high-level CISO in capital management feared “ plagiarism, biased information impacting decisions or recommendations, data loss to numerous organizations, and reliance and economic waste on products that don’t prove short or medium value.” Maybe it gets used in modeling. Maybe it then winds up getting exposed. Stay tuned!

Enterprise 132

Enterprise Risk Measurement Software 132

IBM Big Data Hub

MARCH 4, 2024

Figure 2: ROI potential by transforming into an AI+ enterprise Organizations with high data maturity that embed an AI+ transformation model into the enterprise fabric and culture can generate up to 2.6 Consider the following: Do you need a public foundation model? times higher ROI. Should you build your own? If so, where will it run?

Enterprise 107

Enterprise ROI Risk Strategy 107

O'Reilly on Data

MAY 18, 2020

This article answers these questions, based on our combined experience as both a lawyer and a data scientist responding to cybersecurity incidents, crafting legal frameworks to manage the risks of AI, and building sophisticated interpretable models to mitigate risk. All predictive models are wrong at times?—just

Risk 359

Risk Modeling Data Processing Software 359

Laminar Security

DECEMBER 22, 2023

In the age of cloud computing, data security and cost management are paramount for businesses. Data Security Posture Management (DSPM) serves as a critical tool in this landscape, offering businesses a way to keep their data secure while also managing their cloud storage costs effectively.

Cost-Benefit 95

Cost-Benefit Risk Optimization Risk Management 95

DataRobot

OCTOBER 5, 2021

Throughout history, introducing innovations in fields like aviation and nuclear power to society required robust risk management frameworks. AI is no different, and by its nature, it demands a comprehensive approach to governance utilizing risk management.

Risk Management 95

Risk Management Testing Risk Data Science 95

IBM Big Data Hub

MAY 17, 2024

Poorly run implementations of traditional or generative AI in commerce—such as models trained on inadequate or inappropriate data—lead to bad experiences that alienate consumers and businesses. AI models analyze vast amounts of data quickly and accurately.

B2B 71

B2B Interactive Optimization Forecasting 71

CIO Business Intelligence

SEPTEMBER 7, 2022

Dubbed Cropin Cloud, the suite comes with the ability to ingest and process data, run machine learning models for quick analysis and decision making, and several applications specific to the industry’s needs. Founded in 2016, Malaysian startup Agritix offers a plantation workforce management solution, dubbed Agritix Workforce.

B2B 105

B2B Contextual Data IoT Deep Learning 105

Cloudera

MAY 24, 2022

I recently attended the CeFPro environmental, social, and corporate governance (ESG) conference in London along with a variety of risk experts and ESG leaders from large global institutions. Balance sheet management : The second category includes a firm’s external operations — their book of business and investments.

Risk 84

Risk Measurement Modeling Risk Management 84

IBM Big Data Hub

DECEMBER 13, 2023

By assessing and proactively managing risks inherent in the supply chain , organizations can shield themselves from disruptions and strengthen the resilience of their operations. This enables an effective and adaptive approach to sourcing that creates value and minimizes risk. Some may not agree with the proposed changes.

Strategy 72

Strategy Cost-Benefit Key Performance Indicator Consulting 72

CIO Business Intelligence

OCTOBER 4, 2023

PayPal, like many other large companies, suffers attacks every second, and we can only manage this volume of threats through an architecture with reinforced security layers and solid technology, such as AI.” PayPal’s deep learning models can be trained and put into production in two weeks, and even quicker for simpler algorithms.

Digital Transformation 132

Digital Transformation Deep Learning Data Lake Risk 132

John Wheeler

OCTOBER 20, 2020

We continue our “20 for 20” theme this year by highlighting the integrated risk management (IRM) critical capabilities and top 20 software functions / features. Beyond assessing risk from a qualitative perspective, companies in many industries (e.g., Incident Management.

Risk Management 52

Risk Management Risk Predictive Modeling Insurance 52

DataRobot

JULY 16, 2021

The first is trust in the performance of your AI/machine learning model. They all serve to answer the question, “How well can my model make predictions based on data?” How can identifying gaps or discrepancies in the training data help you build a more trustworthy model? Dimensions of Trust. How large is the data set?

Machine Learning 98

Machine Learning Uncertainty Modeling Measurement 98

CIO Business Intelligence

JUNE 8, 2023

Skills such as software engineering, architecture, cloud, and program management are highly sought after as more companies explore creating both internal and external applications and solutions. Project manager The role of project manager is important for planning, executing, and completing IT projects on time and on budget.

IT 140

IT Digital Transformation Software Risk 140

IBM Big Data Hub

JUNE 29, 2023

The term ‘IBP’ was introduced by the management consulting firm Oliver Wight to describe an evolved version of the sales and operations planning (S&OP process) they originally developed in the early 1980s. The management team defines the organization’s long-term goals and objectives.

Key Performance Indicator 83

Key Performance Indicator Forecasting Data Integration Sales 83

Octopai

JUNE 19, 2023

Catalogs also allow for better Risk Management; data catalogs help businesses maintain regulatory compliance by providing a clear record of what data is stored and how it’s used. It involves defining data standards, access controls, and data quality measures. promoting coherence with other systems and data sources.

Metadata 88

Metadata Data Governance Measurement Risk Management 88

CIO Business Intelligence

APRIL 27, 2023

The demand for specialized skills has boosted salaries in cybersecurity, data, engineering, development, and program management. 1. IT management It’s no surprise that IT executive positions earn some of the highest average salaries, with Dice reporting an average yearly salary of $164,814 in 2022 — an 8.4% increase from 2021.

IT 116

IT Software Risk Management 116

Smart Data Collective

JUNE 23, 2022

A typical car needs an estimated 30,000 individual components (the exact number may vary depending on the make and model). Risk Management. The automotive industry faces numerous risks, from missed production goals to mishaps on the factory floor. Supply Chain Visibility.

Analytics 120

Analytics Manufacturing Internet of Things Risk 120

CIO Business Intelligence

JULY 6, 2023

From 1 January 2024, the provisions relating to supplier risk management will also apply to companies with more than 1,000 employees. CYVC offers the possibility to process large amounts of data (semi-) automatically in a short time frame and identifies risks based on different assessment methods.

Cost-Benefit 96

Cost-Benefit Risk Digital Transformation Risk Management 96

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.). Image by Ben Lorica.

Machine Learning 38

Machine Learning Management Enterprise Risk Management 38

CIO Business Intelligence

SEPTEMBER 20, 2023

To do so, CIOs must continuously improve their product management, program management, and delivery capabilities to wow customers and deliver competitive advantages, all while steering clear of surefire DX mistakes such as prioritizing too many initiatives and underinvesting in developing digital trailblazers.

Digital Transformation 135

Digital Transformation Uncertainty Metrics Business Objectives 135

bridgei2i

APRIL 23, 2020

At least four staff members of (Royal bank of Scotland (RBS) died : the managers of Walton and London Mincing Lane branches, a female clerk at Islington, and a boy clerk at Deptford. Understanding & Managing Risks. They will also need recalibrated scorecards post-COVID as the existing models will not hold.

Risk 52

Risk Management Scorecard Forecasting 52

CIO Business Intelligence

APRIL 29, 2022

Mandatory participants should include people from data science and analytics, data management, and information security, as well as key line-of-business (LOB) functions. That requires a comprehensive data management system that can accelerate business insights by operationalizing data and making it easier to exploit.

Digital Transformation 132

Digital Transformation Strategy Data-driven Data Strategy 132

IBM Big Data Hub

AUGUST 18, 2023

The Digital Operational Resilience Act , or DORA, is a European Union (EU) regulation that created a binding, comprehensive information and communication technology (ICT) risk-management framework for the EU financial sector. Entities will also be expected to put appropriate cybersecurity protection measures in place.

Cost-Benefit 81

Cost-Benefit Testing Strategy Risk Management 81

FineReport

APRIL 9, 2024

From advanced analytics to predictive modeling, the evolving landscape of business intelligence is revolutionizing how data is processed and leveraged for actionable insights. Retail Industry Transformation : A leading retail chain implemented a robust BI platform to analyze customer purchasing patterns and inventory management.

Business Intelligence 52

Business Intelligence Software Data-driven Predictive Modeling 52