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.

Risk Management 64

Risk Management Risk Modeling Enterprise 64

Cloudera

MAY 30, 2024

In this context, Cloudera and TAI Solutions have partnered to help financial services customers accelerate their data-driven transformation, improve customer centricity, ensure compliance with regulations, enhance risk management, and drive innovation. Regulation and risk are a big focus for financial institutions.

Data Analytics 71

Data Analytics Risk Management Digital Transformation Analytics 71

bridgei2i

JUNE 2, 2020

Episode 7: The Impact of COVID-19 on Financial Services & Risk. Management. The Impact of COVID-19 on Financial Services & Risk Management. I collaborate with multiple stakeholders across many global companies enabling high impact business transformation strategies, and guiding them in their analytics journey.

Risk Management 128

Risk Management Risk Enterprise Management 128

bridgei2i

SEPTEMBER 24, 2020

However, risk management is no way lagging. ERM or Enterprise Risk Management is being used to identify crises long before it blows up into a huge problem. AI is being used to assess, prioritize, and mitigate risks in the enterprise so that the business operations do not take a hit. Risk Management Model.

Risk Management 52

Risk Management Risk Enterprise Management 52

Analytics Vidhya

DECEMBER 4, 2022

When too much risk is restricted to very few players, it is considered as a notable failure of the risk management framework. […]. The post XAI: Accuracy vs Interpretability for Credit-Related Models appeared first on Analytics Vidhya.

Modeling 356

Modeling Risk Management Risk Management 356

bridgei2i

NOVEMBER 20, 2020

Episode 2: AI enabled Risk Management for FS powered by BRIDGEi2i Watchtower. AI enabled Risk Management for FS powered by BRIDGEi2i Watchtower. Today the Chief Risk Officers(CROs) struggle with the critical task of monitoring and assessing key risks in real time and firefight to mitigate any critical issues that arise.

Risk Management 92

Risk Management Risk Management Metrics 92

Cloudera

JUNE 29, 2023

To ensure the stability of the US financial system, the implementation of advanced liquidity risk models and stress testing using (MI/AI) could potentially serve as a protective measure. To improve the way they model and manage risk, institutions must modernize their data management and data governance practices.

Data Architecture 84

Data Architecture Risk Management Risk Management 84

Teradata

APRIL 26, 2022

Managing the new class of emerging risks requires infusing the principles of resiliency and efficient risk analytics into traditional risk management frameworks.

Risk 97

Risk Risk Management Management Analytics 97

TDAN

APRIL 6, 2021

There are also emerging concerns about the ways that big data analytics potentially influence and bias automated decision-making. Individuals are starting to pay attention to organizational vulnerabilities that compound risks associated with managing, protecting, and enabling access […].

Risk Management 64

Risk Management Risk Management Big Data 64

Smart Data Collective

JUNE 19, 2022

AI is particularly helpful with managing risks. Many suppliers are finding ways to use AI and data analytics more effectively. How AI Can Help Suppliers Manage Risks Better. Failure or Delay Risk. Failure to deliver goods is one of the most common risks businesses have suffered over the past two years.

Risk 133

Risk Cost-Benefit Risk Management Manufacturing 133

Smart Data Collective

JULY 16, 2023

We mentioned that data analytics is vital to marketing , but it is affecting many other industries as well. The market for financial analytics was worth $8.2 The market for financial analytics was worth $8.2 We will talk about some of the biggest ways that big data is changing the future of risk management among hedge funds.

ROI 71

ROI Data Analytics Analytics Risk Management 71

Cloudera

JULY 15, 2021

We recently hosted a roundtable focused on o ptimizing risk and exposure management with data insights. For financial institutions and insurers, risk and exposure management has always been a fundamental tenet of the business. Now, risk management has become exponentially complicated in multiple dimensions. .

Risk 99

Risk Optimization Management Insurance 99

O'Reilly on Data

NOVEMBER 13, 2018

The Future of Privacy Forum and Immuta recently released a report with some great suggestions on how one might approach machine learning projects with risk management in mind: When you’re working on a machine learning project, you need to employ a mix of data engineers, data scientists, and domain experts.

Machine Learning 217

Machine Learning Risk Management Statistics 217

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.

Risk 88

Risk Marketing Technology Management 88

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. It encompasses risk management and regulatory compliance and guides how AI is managed within an organization.

Risk 73

Risk Modeling Management Metadata 73

Teradata

JANUARY 27, 2022

The prevalence of new business models, emerging global risks & modernization of data processing in the cloud is ushering in a new era for credit risk management & the transformation of risk analytics.

Risk 52

Risk Risk Management Data Processing Modeling 52

Smart Data Collective

AUGUST 31, 2023

Data analytics has had a tremendous impact on the financial sector in recent years. Therefore, it should be no surprise that the market for financial analytics is projected to be worth nearly $19 billion by 2030. There are a ton of great benefits of using data analytics in finance.

ROI 95

ROI Data Analytics Analytics Risk 95

Cloudera

APRIL 18, 2024

In the financial sector, regulations are essential for financial institutions to maintain stability by preventing excessive risk-taking, ensuring adequate capitalization and reducing the likelihood of failures or financial crises.

Risk Management 76

Risk Management Risk Testing Management 76

CIO Business Intelligence

MARCH 18, 2024

Every business in some form or another is looking to adopt and integrate emerging technologies—whether that’s artificial intelligence, hybrid cloud architectures, or advanced data analytics—to help achieve a competitive edge and reach key operational goals. So, who needs to adhere to DORA?

Risk Management 98

Risk Management Insurance Risk Testing 98

Smart Data Collective

JUNE 23, 2022

In light of this, industry experts are using analytics to streamline production and minimize waste to address these challenges. Here’s an in-depth look into analytics and its role in the automotive sector. Each aspect of the automotive workflow has its respective form of analytics. Risk Management. Quality Control.

Analytics 120

Analytics Manufacturing Internet of Things Risk 120

CIO Business Intelligence

MAY 9, 2024

They should lead the efforts to tie AI capabilities to data analytics and business process strategies and champion an AI-first mindset throughout the organization. Companies want candidates who can drive innovation, deliver meaningful business results, and work closely with other leaders to manage risks.

Risk Management 134

Risk Management Risk Cost-Benefit Technology 134

Jet Global

JANUARY 19, 2024

Without automated document management, you may find yourself falling victim to: Increased Risk of Errors : Manual handling of documents and data increases the risk of errors. Increased Security Risks : Document management features often include security measures to protect sensitive information.

Risk 52

Risk Management Reporting Software 52

Cloudera

MAY 18, 2021

With Flink SQL, business analysts, developers, and quants alike can quickly build a streaming pipeline to perform complex data analytics in real time. Value-at-Risk (VaR) is a widely used metric in risk management. This practice was prevalent in risk management ever since JP Morgan invented VaR in the 1980s.

Risk 96

Risk Marketing Risk Management Data-driven 96

CIO Business Intelligence

MAY 20, 2024

From AI and data analytics, to customer and employee experience, here’s a look at strategic areas and initiatives IT leaders expect to spend more time on this year, according to the State of the CIO. Risk management came in at No. Foundry / CIO.com 3. For Rev.io

IT 135

IT Risk Management Machine Learning Risk 135

John Wheeler

NOVEMBER 25, 2020

Integrated risk management (IRM) technology is uniquely suited to address the myriad of risks arising from the current crisis and future COVID-19 recovery. Re-starting business operations will require risk visibility not only across the organization but vertically down through the organization as well. Key Findings.

Marketing 110

Marketing Risk Management Risk Digital Transformation 110

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

Cloudera

MARCH 28, 2019

Simulation for mortgage analytics solution. If we look back a decade at Northern Rock, do you think that we’ve actually learned the lessons from that in terms of our analytics and what we’re doing in financial institutions? They also fail to model the effects of fear and the risk of contagion. Risk management 3.0.

Risk 73

Risk Management Risk Management Machine Learning 73

AWS Big Data

FEBRUARY 1, 2024

Amazon Redshift features like streaming ingestion, Amazon Aurora zero-ETL integration , and data sharing with AWS Data Exchange enable near-real-time processing for trade reporting, risk management, and trade optimization. Database cluster – For this solution, we use an Amazon Aurora MySQL-Compatible Edition 8.0 version cluster.

Data Warehouse 125

Data Warehouse Dashboards Risk Management Risk 125

Smart Data Collective

MAY 8, 2022

Big data, analytics, and AI all have a relationship with each other. For example, big data analytics leverages AI for enhanced data analysis. Brands are closely working to solve this as they dive deep into the world of big data analytics. What is the relationship between big data analytics and AI? Business analytics.

Big Data 105

Big Data Data Analytics Analytics Cost-Benefit 105

Cloudera

FEBRUARY 15, 2024

While there are clear reasons SVB collapsed, which can be reviewed here , my purpose in this post isn’t to rehash the past but to present some of the regulatory and compliance challenges financial (and to some degree insurance) institutions face and how data plays a role in mitigating and managing risk.

Insurance 86

Insurance Data Architecture Risk Management Risk 86

datapine

AUGUST 29, 2022

The saying “knowledge is power” has never been more relevant, thanks to the widespread commercial use of big data and data analytics. With that in mind, we have prepared a list of the top 19 definitive data analytics and big data books, along with magazines and authentic readers’ reviews upvoted by the Goodreads community.

Big Data 263

Big Data Data Analytics Analytics Data mining 263

CIO Business Intelligence

JUNE 23, 2023

It helps reduce risk, increase efficiency, optimize resources, and improve both the customer and employee experience. When asked what keeps them up at night, IT leaders noted the need to improve overall IT performance (60%), followed by data security (50%), process risk and compliance (46%), and the need to improve agility (41%).

IT 95

IT Risk Management Risk Optimization 95

IBM Big Data Hub

FEBRUARY 8, 2024

” European Parliament News The EU AI Act in brief The primary focus of the EU AI Act is to strengthen regulatory compliance in the areas of risk management, data protection, quality management systems, transparency, human oversight, accuracy, robustness and cyber security.

Risk Management 75

Risk Management Risk Metrics Machine Learning 75

Information Builders

APRIL 20, 2015

Today at the 2015 CEB Financial Services Technology Summit, Information Builders, a leader in business intelligence ( BI ) and analytics, information integrity, and integration solutions, announced a global partnership with Capital Markets Consulting to help banks, investment managers, and regulators facilitate improved data analysis and enable better (..)

Consulting 58

Consulting Risk Management Risk Marketing 58

Smart Data Collective

JUNE 3, 2021

Analytics technology is becoming integral to the field of finance. The market for financial analytics services is projected to be worth over $11 billion within the next five years. Analytics is particularly important for developing strategic financial management policies. Role of Analytics in Strategic Financial Planning.

Management 90

Management Finance Analytics Analytics Technologies 90

CIO Business Intelligence

APRIL 28, 2022

Right from the start, auxmoney leveraged cloud-enabled analytics for its unique risk models and digital processes to further its mission. Particularly in Asia Pacific , revenues for big data and analytics solutions providers hit US$22.6bn in 2020 , with financial services companies ranking among their biggest clients.

Analytics 84

Analytics Insurance Big Data Uncertainty 84

CIO Business Intelligence

APRIL 12, 2022

Specifically, they’re looking at these areas: Centralized supply chain planning Advanced analytics Reskilling the labor force for digital planning and monitoring In the never-ending hunt for maximum efficiency and cost savings, supply chain digitization correlates closely with smart manufacturing processes. Complex infrastructure not needed.

IoT 103

IoT Analytics Manufacturing Cost-Benefit 103