BizAcuity

APRIL 1, 2023

Anti-Money Laundering (AML) is increasingly becoming a crucial branch of risk management and fraud prevention. AML regulations and procedures help organizations identify, monitor, and report suspicious transactions and provide an additional layer of protection against financial crime.

Machine Learning 52

Machine Learning Predictive Analytics Predictive Modeling Risk 52

Smart Data Collective

JUNE 3, 2021

Many different industries are becoming more reliant on machine learning. The insurance industry is among those that has found new opportunities to take advantage of machine learning technology. Many of the applications of big data for insurance companies will be realized with machine learning technology.

Insurance 98

Insurance Machine Learning Cost-Benefit Risk 98

DataRobot Blog

APRIL 29, 2022

This provides a great amount of benefit, but it also exposes institutions to greater risk and consequent exposure to operational losses. The stakes in managing model risk are at an all-time high, but luckily automated machine learning provides an effective way to reduce these risks. What is a model?

Risk 111

Risk Modeling IT Risk Management 111

BizAcuity

JANUARY 18, 2023

Anti-Money Laundering (AML) is increasingly becoming a crucial branch of risk management and fraud prevention. AML regulations and procedures help organizations identify, monitor, and report suspicious transactions and provide an additional layer of protection against financial crime. How Machine Learning Helps Detect and Prevent AML.

Machine Learning 52

Machine Learning Predictive Analytics Predictive Modeling Risk 52

O'Reilly on Data

JANUARY 25, 2024

O’Reilly’s Generative AI in the Enterprise survey reported that people have trouble coming up with appropriate enterprise use cases for AI. Timestamps 0:00: Introductions 0:49 : O’Reilly’s Generative AI in the Enterprise survey reported that people have trouble coming up with appropriate enterprise use cases for AI.

Machine Learning 206

Machine Learning Enterprise Reporting Risk 206

DataRobot Blog

JANUARY 17, 2023

Recently, a prospective customer asked me how I reconcile the fact that DataRobot has multiple very successful investment banks using DataRobot to enhance the P&L of their trading businesses with my comments that machine learning models aren’t always great at predicting financial asset prices. For price discovery (e.g.,

Machine Learning 87

Machine Learning Marketing Experimentation Modeling 87

DataRobot Blog

MAY 10, 2022

Addressing the Key Mandates of a Modern Model Risk Management Framework (MRM) When Leveraging Machine Learning . The regulatory guidance presented in these documents laid the foundation for evaluating and managing model risk for financial institutions across the United States.

Risk 64

Risk Modeling Machine Learning Data Quality 64

IBM Big Data Hub

OCTOBER 16, 2023

As more businesses use AI systems and the technology continues to mature and change, improper use could expose a company to significant financial, operational, regulatory and reputational risks. An AI governance framework ensures the ethical, responsible and transparent use of AI and machine learning (ML).

Risk 71

Risk Modeling Management Metadata 71

IBM Big Data Hub

MAY 18, 2023

This report outlines the combination of traditional decision automation tools with machine learning models and other technologies. As Forrester notes in the report, many organizations are eager to harness the power of AI but also must be cautious of risks.

Reporting 87

Reporting Scorecard Predictive Modeling Machine Learning 87

IBM Big Data Hub

AUGUST 1, 2023

More than the typical endpoint security solutions, it consists of a set of endpoint security capabilities that include artificial intelligence (AI) , machine learning , behavioural analysis and endpoint detection and response (EDR). ” What is risk-based application patching?

Risk 54

Risk Management Machine Learning IoT 54

Cloudera

FEBRUARY 4, 2021

Financial services institutions need the ability to analyze and act on massive volumes of data from diverse sources in order to monitor, model, and manage risk across the enterprise. They need a comprehensive data and analytics platform to model risk exposures on-demand. Cloudera is that platform. End-to-end Data Lifecycle.

Risk 89

Risk Marketing Technology Management 89

DataRobot Blog

JUNE 27, 2022

Monitoring Modern Machine Learning (ML) Methods In Production. 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. Model Benchmarking.

Risk 59

Risk Modeling Metrics Measurement 59

CIO Business Intelligence

DECEMBER 19, 2023

The analyst reports tell CIOs that generative AI should occupy the top slot on their digital transformation priorities in the coming year. Moreover, the CEOs and boards that CIOs report to don’t want to be left behind by generative AI, and many employees want to experiment with the latest generative AI capabilities in their workflows.

Digital Transformation 143

Digital Transformation Unstructured Data Machine Learning Risk Management 143

BizAcuity

APRIL 19, 2019

According to reports, it is estimated that about 3 to 5 percent of people who indulge in casino gaming, get hooked on to it. The answer lies in revolutionary machine learning and business analytics. One in specific works by calculating a risk score for players. And then the situation becomes a bit tricky.

Machine Learning 75

Machine Learning Metrics Data mining Business Analytics 75

CIO Business Intelligence

MAY 14, 2024

Like many public health agencies across the US, the King County Medical Examiner’s Office tracks drug overdose deaths to target interventions for populations at risk and save lives. Seattle, the county seat, reported nearly 600 drug overdose deaths in 2022, an increase of 72% from the previous year.

Deep Learning 97

Deep Learning Machine Learning Reporting Experimentation 97

CIO Business Intelligence

MAY 30, 2024

The State of Generative AI in the Enterprise report from Deloitte found that 75% of organizations expect generative AI technology to impact talent strategies within the next two years, and 32% of organizations that reported “very high” levels of generative AI expertise are already on course to make those changes.

Digital Transformation 137

Digital Transformation Machine Learning Software Testing 137

CIO Business Intelligence

MARCH 6, 2024

Manufacturing in particular has become a bigger target for bad actors; in fact, it was one of the sectors most impacted by extortion attacks, according to Palo Alto Networks’ 2023 Unit 42 Extortion and Ransomware Report. Attacks against OT systems pose risks beyond financial losses. To learn more, visit us here. As Industry 4.0

ROI 127

ROI Manufacturing Cost-Benefit IoT 127

Domino Data Lab

AUGUST 6, 2021

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. What Is Model Risk?

Risk Management 64

Risk Management Risk Modeling Enterprise 64

DataRobot Blog

JUNE 3, 2022

To understand the capabilities and address the risks of AI, all of us – developers, policy-makers, end-users, bystanders – must have a shared understanding of what AI is, how it can be applied to the benefit of humanity, and the risks involved when implementing it without guardrails in place to mitigate bias and harm. Download now.

Risk 52

Risk Predictive Modeling Modeling Technology 52

CIO Business Intelligence

APRIL 8, 2024

Computer vision, AI, and machine learning (ML) all now play a role. Working with partner Amazon Web Services (AWS), the NFL has developed Digital Athlete, a platform that uses computer vision and ML to predict which players are at the highest risk of injury based on plays and their body positions.

Analytics 118

Analytics Broadcasting Predictive Analytics Metrics 118

Rocket-Powered Data Science

JULY 19, 2023

b) Precursor Analytics – the use of AI and machine learning to identify, evaluate, and generate critical early-warning alerts in enterprise systems and business processes, using high-variety data sources to minimize false alarms (i.e., These may not be high risk. They might actually be high-reward discoveries.

Data-driven 188

Data-driven Enterprise Analytics Machine Learning 188

CIO Business Intelligence

APRIL 29, 2024

As organizations roll out AI applications and AI-enabled smartphones and devices, IT leaders may need to sell the benefits to employees or risk those investments falling short of business expectations. CIOs and CTOs must also set the rules of the road for using AI and navigate or mitigate potential risk and ethics issues, he says.

Experimentation 135

Experimentation Forecasting Risk Consulting 135

IBM Big Data Hub

FEBRUARY 7, 2024

Advanced technologies, more stringent reporting standards and stronger support from stakeholders are building momentum for eco-friendly initiatives and the incentives that encourage them. Sustainability reporting: Accountability on the record This may be the biggest year yet in sustainability reporting.

Reporting 90

Reporting Internet of Things Cost-Benefit Data-driven 90

Alation

JULY 15, 2021

According to the latest report from Eckerson Group, Deep Dive on Data Catalogs , shoppers must match the goals of their organizations to the capabilities of their chosen catalog. Leaders need assurance that their people are using data compliantly — and not running the risk of incurring a multimillion dollar fine by way of the GDPR.

Reporting 98

Reporting Data Governance Recreation/Entertainment Metadata 98

erwin

MARCH 12, 2020

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. See for yourself why we were included in the latest Forrester EAMS report. We’re pleased to offer you a free trial of erwin Evolve.

Enterprise 85

Enterprise Reporting Management ROI 85

IBM Big Data Hub

APRIL 19, 2024

Asset performance management (APM) processes, such as risk-based and predictive maintenance and asset investment planning (AIP), enable health monitoring technologies. Cybersecurity reduces risk exposure for cyberattacks on digitally connected assets. Risk-based asset strategies align maintenance efforts to balance costs and risks.

Management 87

Management Internet of Things Risk IoT 87

CIO Business Intelligence

JUNE 2, 2022

Hot technologies for banks also include 5G , natural language processing (NLP) , microservices architecture , and computer vision, according to Forrester’s recent Top Emerging Technologies in Banking In 2022 report. Almost 33% of respondents claim that machine learning can lead to improved customer experience.

Predictive Analytics 145

Predictive Analytics Technology Analytics Machine Learning 145

CIO Business Intelligence

FEBRUARY 16, 2024

The report found almost two-thirds (63%) do not completely trust the data their company uses. 100+ variables were fed into machine learning models that predicted the risk of mortgage churn and fraudulent credit card transactions. For more information read our report; ‘ Banks: are you AI-ready?

Machine Learning 122

Machine Learning Reporting Risk Modeling 122

O'Reilly on Data

MAY 18, 2020

To date, at least 1,200 reports of AI incidents have been recorded in various public and research databases. And last is the probabilistic nature of statistics and machine learning (ML). 1 And, of course, the risks of model decay are exacerbated in times of rapid change. Second is AI’s tremendous complexity.

Risk 359

Risk Modeling Data Processing Software 359

CIO Business Intelligence

NOVEMBER 7, 2022

CIOs seeking big wins in high business-impacting areas where there’s significant room to improve performance should review their data science, machine learning (ML), and AI projects. Have business leaders defined realistic success criteria and areas of low-risk experimentation? Are data science teams set up for success?

Machine Learning 128

Machine Learning Data Science Experimentation IoT 128

Cloudera

SEPTEMBER 22, 2022

In this post, I’ll explore opportunities to enhance risk assessment and underwriting, especially in personal lines and small and medium-sized enterprises. To me, this means that by applying more data, analytics, and machine learning to reduce manual efforts helps you work smarter. Step one: gather the data.

Analytics 102

Analytics Insurance IoT Risk 102

Cloudera

JULY 18, 2018

It is fair to say that healthcare faces many challenges, including developing, deploying, and integrating machine learning and artificial intelligence (AI) into clinical workflow and care delivery. Additionally, organizations are increasingly restrained due to budgetary constraints and having limited data sciences resources.

Machine Learning 51

Machine Learning Predictive Analytics Analytics Prescriptive Analytics 51

O'Reilly on Data

MARCH 26, 2024

It’s ironic that, in this article, we didn’t reproduce the images from Marcus’ article because we didn’t want to risk violating copyright—a risk that Midjourney apparently ignores and perhaps a risk that even IEEE and the authors took on!) To see this, let’s consider another example, that of MegaFace. joined Flickr.

Modeling 274

Modeling Machine Learning Risk Advertising 274

CIO Business Intelligence

OCTOBER 24, 2023

However, cloud-native application development can pose significant security risks as developers are often dealing with exponentially more cloud assets across multiple execution environments. Even more alarming are the reports of cybercriminals using generative AI to write malicious code for ransomware attacks.

Modeling 120

Modeling Risk Reporting Machine Learning 120

CIO Business Intelligence

MAY 10, 2024

The legislation requires companies that conduct business in Colorado to disclose to the state’s attorney general “any known or reasonably foreseeable risk of algorithmic discrimination, within 90 days after the discovery or receipt of a credible report.”

Risk 106

Risk Insurance Machine Learning Sales 106

Cloudera

OCTOBER 18, 2023

In the ever-evolving landscape of the financial services Industry, change is a constant and transformation is a requirement — to stay at pace with new regulations, risk mitigation, and the technological developments that support transformation. Automated documentation generation: Generating documentation is time consuming and tedious.

Cost-Benefit 80

Cost-Benefit Testing Machine Learning Optimization 80

CIO Business Intelligence

APRIL 25, 2024

This transition has propelled AI and machine learning to the forefront, with 51% of CIOs identifying these technologies as among their most urgent priorities, alongside cybersecurity, highlighting their crucial role in driving organizational success.

ROI 136

ROI Cost-Benefit Machine Learning Technology 136