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.

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Risk Modeling Metrics Business Objectives 52

CIO Business Intelligence

JUNE 23, 2023

An astounding 93% of respondents noted they strongly agree with the sentence, “I believe my organization needs to embrace a hybrid infrastructure model that spans from mainframe to cloud.” Risk Management: Risk management is a critical focus for technology professionals.

IT 98

IT Risk Management Risk Optimization 98

Smart Data Collective

JULY 16, 2023

We will talk about some of the biggest ways that big data is changing the future of risk management among hedge funds. Data Analytics Helps Create More Robust Risk Management Controls We mentioned years ago that big data is changing risk management.

ROI 72

ROI Data Analytics Analytics Risk Management 72

CIO Business Intelligence

DECEMBER 28, 2023

As a result, managing risks and ensuring compliance to rules and regulations along with the governing mechanisms that guide and guard the organization on its mission have morphed from siloed duties to a collective discipline called GRC. These executive lead risk or compliance departments with dedicated teams. What is GRC?

Risk 115

Risk Risk Management Strategy Enterprise 115

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 61

Cost-Benefit Risk Management Risk Digital Transformation 61

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.

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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?

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Enterprise ROI Risk Strategy 107

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 111

IT Manufacturing Risk Management Risk 111

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

CIO Business Intelligence

AUGUST 30, 2023

A CISO at a major marketing software firm worried about this explicitly, stating, “The real risk is that you have unintentional data leakage of confidential information. Maybe it gets used in modeling. So I think the real risk here is the exposure of sensitive information. Maybe it then winds up getting exposed.

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Enterprise Risk Measurement Software 132

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. I discussed the complex modeling considerations of physical, transition, and alignment risks in a prior post about climate risk models. .

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Risk Measurement Modeling Risk Management 83

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

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Risk Modeling Data Processing Software 359

CIO Business Intelligence

JUNE 12, 2023

In 2012, COBIT 5 was released and in 2013, the ISACA released an add-on to COBIT 5, which included more information for businesses regarding risk management and information governance. It’s also designed to give senior management more insight into how technology can align with organizational goals.

Risk Management 94

Risk Management Strategy Digital Transformation Enterprise 94

Laminar Security

DECEMBER 22, 2023

The cost of cloud storage: breaking down the numbers Cloud storage operates on a pay-as-you-use model, which appears cost-effective at first glance. However, when businesses fail to monitor and manage their data effectively, costs can escalate quickly. Data Access Governance (DAG) is pivotal for storage optimization.

Cost-Benefit 95

Cost-Benefit Risk Optimization Risk Management 95

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. The suite, according to the company, consists of three layers: Cropin Apps, the Cropin Data Hub and Cropin Intelligence.

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B2B Contextual Data IoT Deep Learning 105

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

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?

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Machine Learning Uncertainty Modeling Measurement 98

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.,

Risk Management 52

Risk Management Risk Predictive Modeling Insurance 52

IBM Big Data Hub

DECEMBER 13, 2023

Gather diverse insights, understand needs and manage expectations. Determine business objectives Define specific measurable, achievable, relevant and timely (SMART) objectives for the procurement function. Additional goals might be risk management and mitigation, supplier relationship management and sustainability considerations.

Strategy 73

Strategy Cost-Benefit Key Performance Indicator Consulting 73

CIO Business Intelligence

OCTOBER 4, 2023

This also allows us to have the best in terms of global technology, fraud mitigation and prevention, and cybersecurity measures in all markets, all while complying with local regulations and compliance requirements.” PayPal’s deep learning models can be trained and put into production in two weeks, and even quicker for simpler algorithms.

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Digital Transformation Deep Learning Data Lake Risk 132

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.

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Metadata Data Governance Measurement Risk Management 88

IBM Big Data Hub

JUNE 29, 2023

Continuous monitoring and performance management Integrated Business Planning is an ongoing process that requires continuous monitoring of performance against plans and targets. Key performance indicators (KPIs) are established to measure progress and enable proactive management.

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Key Performance Indicator Forecasting Data Integration Sales 83

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

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 123

Analytics Manufacturing Internet of Things Risk 123

Decision Management Solutions

APRIL 23, 2019

Predictive analytics streamlines the decision to maximize efficiency and accuracy, enabling carriers to be smarter about risk while automating more decisions. Predictive analytic models can also address complex interrelationships between data elements that contribute to risk and may be too subtle to be recognized by an underwriter.

Insurance 69

Insurance Risk Technology Management 69

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. The implementation empowered the organization with predictive modeling capabilities, enabling proactive risk mitigation and personalized customer engagement strategies.

Business Intelligence 52

Business Intelligence Software Data-driven Predictive Modeling 52

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

Alation

AUGUST 17, 2022

So, data culture and governance need a strong leader, charter, operating model, and budget (which is many times the hardest part). Focus on market and customer needs and define safe/compliant operating models. Enterprise risk management. Data management. Continuously measure value delivered — and share it!

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Data Governance Risk Data-driven Measurement 92

CIO Business Intelligence

APRIL 29, 2022

From a policy perspective, the organization needs to mature beyond a basic awareness and definition of data compliance requirements (which typically holds that local operations make data “sovereign” by default) to a more refined, data-first model that incorporates corporate risk management, regulatory and reporting issues, and compliance frameworks.

Digital Transformation 132

Digital Transformation Strategy Data-driven Data Strategy 132

CIO Business Intelligence

MAY 18, 2022

They range from organizational architects who define business and operating models to projects, platforms, and digital architects. To meet this goal, it is redefining the EA components it measures to understand, for example, which data must be stored in which formats so it can be studied over time.

Enterprise 122

Enterprise Measurement Software Data-driven 122

DataRobot Blog

NOVEMBER 17, 2022

Just as you wouldn’t set off on a journey without checking the roads, knowing your route, and preparing for possible delays or mishaps, you need a model risk management plan in place for your machine learning projects. A well-designed model combined with proper AI governance can help minimize unintended outcomes like AI bias.

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Risk Management Risk Modeling Management 52

CIO Business Intelligence

JUNE 8, 2023

Relevant skills include security architecture design, threat modeling, compliance and regulations, security operations, risk assessment and management, and security infrastructure implementation. Average salary: US$145,512 Increase since 2021: 7.7%

IT 140

IT Digital Transformation Software Risk 140

Smart Data Collective

SEPTEMBER 21, 2021

A growing number of businesses are starting to look for new data-driven approaches to streamline their business models. However, your data-driven business model won’t be very helpful if you don’t focus on the right metrics. Targeting the Right Variables for Your Data-Driven Retail Business Model.

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Data-driven Metrics Sales Big Data 110

CIO Business Intelligence

APRIL 27, 2023

They’re required to work closely with upper management, executives, and key stakeholders to identify business needs and requirements. Relevant skills for a systems architect include risk management, performance optimization, security, leadership, and a strong knowledge of complex computer systems.

IT 116

IT Software Risk Management 116

BizAcuity

APRIL 1, 2023

Anti-Money Laundering (AML) is increasingly becoming a crucial branch of risk management and fraud prevention. The algorithms can detect anomalies in the transactional data and helps to identify high-risk customers and transactions that may be linked to money laundering activities.

Machine Learning 52

Machine Learning Predictive Analytics Predictive Modeling Risk 52

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

Alation

MARCH 14, 2023

Govern Data governance models should be flexible and dynamic while proactively addressing risk management and compliance with local and global regulations. All critical data elements (CDEs) should be collated and inventoried with relevant metadata, then classified into relevant categories and curated as we further define below.

Data Strategy 52

Data Strategy Strategy Metadata Data Quality 52