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 includes processes that trace and document the origin of data, models and associated metadata and pipelines for audits.

Risk 79

Risk Modeling Management Metadata 79

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. As past data isn’t relevant anymore, current models aren’t going to work. Now, the first of those areas is definitely risk and portfolio management.

Risk Management 128

Risk Management Risk Enterprise Management 128

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 86

Risk Marketing Technology Management 86

Cloudera

OCTOBER 20, 2021

As part of these efforts, disclosure requirements will mandate that firms provide “the impact of a company’s activities on the environment and society, as well as the business and financial risks faced by a company due to its sustainability exposures.” What are the key climate risk measurements and impacts? They need to understand;

Risk 78

Risk Modeling Risk Management Measurement 78

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

Decision Management Solutions

APRIL 23, 2019

In February, we published a blog post on “Using Technology to Add Value in Insurance”. In that post, I referenced Matt Josefowticz’s article – Technology May be the Answer for Insurers, but What Was the Question? , Let’s dive into greater detail on the second lever – Manage Risk Better.

Insurance 69

Insurance Risk Technology Management 69

O'Reilly on Data

DECEMBER 12, 2019

Not least is the broadening realization that ML models can fail. And that’s why model debugging, the art and science of understanding and fixing problems in ML models, is so critical to the future of ML. Because all ML models make mistakes, everyone who cares about ML should also care about model debugging. [1]

Machine Learning 191

Machine Learning Modeling Testing Risk Management 191

IBM Big Data Hub

APRIL 19, 2024

Asset management and technological innovation Advancements in technology underpin the need for holistic grid asset management, making the assets in the grid smarter and equipping the workforce with smart tools. Cybersecurity reduces risk exposure for cyberattacks on digitally connected assets.

Management 96

Management Internet of Things Risk IoT 96

John Wheeler

MARCH 5, 2021

Now that we are recovering from the COVID-19 pandemic crisis, our clients are now looking forward to deploy new ways of managing risk. They can no longer look to the past as an exclusive indicator of what risks may lie ahead. Simply put, business leaders need a better way to manage risks.

Risk Management 105

Risk Management Risk Technology Management 105

IBM Big Data Hub

MAY 1, 2024

Unlocking the full potential of supply chain management has long been a goal for businesses that seek efficiency, resilience and sustainability. In the age of digital transformation, the integration of advanced technologies like generative artificial intelligence brings a new era of innovation and optimization.

Forecasting 82

Forecasting Optimization Digital Transformation Risk 82

CIO Business Intelligence

NOVEMBER 21, 2023

Ask IT leaders about their challenges with shadow IT, and most will cite the kinds of security, operational, and integration risks that give shadow IT its bad rep. That’s not to downplay the inherent risks of shadow IT. Following are seven steps to guide this transformation for competitive advantage.

IT 137

IT Risk Cost-Benefit Risk Management 137

Dataiku

DECEMBER 28, 2021

However, the use of AI, like any other technology, comes with a certain amount of risk. Effectively implemented oversight, management, and clear, value-driven organizational priorities are therefore crucial for safe scaling.

Risk 59

Risk Risk Management Data-driven Modeling 59

John Wheeler

OCTOBER 21, 2019

Over the past month, I’ve been speaking to various groups to help them prepare for the onslaught of digital risks in their organizations. A common theme is the need for greater risk quantification beyond the realm of traditional, qualitative governance, risk and compliance (GRC) approaches.

Risk 53

Risk Risk Management Digital Transformation Insurance 53

CIO Business Intelligence

SEPTEMBER 14, 2023

“Generative AI represents the next generation of this technology, and we are currently working on several ways we can effectively leverage it — both in our products and in our business.” As exchanges were modernizing, they looked at the cost benefit and realized it was better to buy Nasdaq’s technology,” Peterson says.

Risk Management 116

Risk Management Risk Marketing Cost-Benefit 116

CIO Business Intelligence

MAY 2, 2024

Security and risk management pros have a lot keeping them up at night. Then, you can develop a strategy that integrates advanced technologies to help you prevent (not just detect) them. And the only way to do this is to leverage advanced security technologies such as mobile cryptography.

Strategy 111

Strategy Risk Management Risk Measurement 111

CIO Business Intelligence

JUNE 23, 2023

Determining the right mix of technologies and methodologies to support an entire organization can be overwhelming – and can keep IT leaders up at night. It helps reduce risk, increase efficiency, optimize resources, and improve both the customer and employee experience.

IT 98

IT Risk Management Risk Optimization 98

CIO Business Intelligence

DECEMBER 19, 2023

This year’s technology darling and other machine learning investments have already impacted digital transformation strategies in 2023 , and boards will expect CIOs to update their AI transformation strategies frequently. I wrote in Driving Digital , “Digital transformation is not just about technology and its implementation.

Digital Transformation 143

Digital Transformation Unstructured Data Machine Learning Risk Management 143

Cloudera

MARCH 28, 2019

For all the advances in big data, machine learning and computational simulation in the decade since the global financial crisis, incumbent banks, still preoccupied with the twin imperatives of ever-tougher regulatory compliance and boosting shareholder returns, are playing catch-up in their adoption of new technologies. Risk management 3.0.

Risk 72

Risk Management Risk Management Machine Learning 72

IBM Big Data Hub

MARCH 4, 2024

Generative AI (gen AI) introduces transformative innovation to all aspects of a business; from the front to the back office, through ongoing technology modernization, and into new product and service development. Consider the following: Do you need a public foundation model? times higher ROI. Often, this decision is made too quickly.

Enterprise 110

Enterprise ROI Risk Strategy 110

CIO Business Intelligence

APRIL 5, 2024

Many of the bills are targeted both at the developers of AI technologies and the organizations putting AI tools to use, says Mahdavi, a lawyer with global law firm BCLP, which has established an AI working group. AI legislation proposed in Connecticut also has served as a model for lawmakers in other states.

Risk 132

Risk Interactive Insurance Strategy 132

CIO Business Intelligence

SEPTEMBER 20, 2023

Risk Management: CISOs must assess and manage the risks posed by new technologies and changing threat landscapes. Employee Awareness: Effective employee training and awareness is critical in ensuring that staff are not unwittingly exposing the organization to cyber risks.

Digital Transformation 111

Digital Transformation Risk Management Risk Machine Learning 111

IBM Big Data Hub

FEBRUARY 13, 2024

This data is fed into generational models, and there are a few to choose from, each developed to excel at a specific task. Generative adversarial networks (GANs) or variational autoencoders (VAEs) are used for images, videos, 3D models and music. Autoregressive models or large language models (LLMs) are used for text and language.

Enterprise 129

Enterprise Modeling Testing Data-driven 129

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

SEPTEMBER 7, 2023

Additionally, related issues during use are risk of hallucinations and prompt engineering. Exploiting technology vulnerabilities. Additionally, it’s paramount within the financial services sector to ensure responsible AI and adherence to regulatory guidance for model risk.

Risk Management 98

Risk Management Risk Testing Digital Transformation 98

CIO Business Intelligence

FEBRUARY 20, 2024

Others are weighing the advantages of subscription-based business models where industrial equipment, automation, and processes are delivered as a service. For instance, Rockwell Automation, a US provider of industrial automation technology, uses Microsoft Copilot in its FactoryTalk Design Studio. Supply chain optimisation.

Manufacturing 98

Manufacturing Sales Risk Management Forecasting 98

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. Most of these new technologies are born-in-cloud. A third-party risk management review, where the ISV needs to describe how it is complying to required controls.

Cost-Benefit 62

Cost-Benefit Risk Management Risk Digital Transformation 62

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

CIO Business Intelligence

JANUARY 18, 2024

Nearly a third (29%) of CEOs are dissatisfied with their organization’s speed of innovation, capabilities in risk management, and talent acquisition and retention rates. But 43% warn that AI will cause some level of unemployment, and 12% think that the technologies will replace human workers completely.

Finance 126

Finance Machine Learning Risk Management Optimization 126

CIO Business Intelligence

DECEMBER 27, 2023

Those same characteristics, however, reveal the risks AI pose to this sector. So business technology leaders in financial services are carefully navigating a path toward AI. AI dominates discourse and headlines, but financial services technology leaders know there’s a lot of substance amid the noise.

Insurance 141

Insurance Cost-Benefit Risk Technology 141

IBM Big Data Hub

APRIL 20, 2023

When consumers lose trust in a bank’s ability to manage risk, the system stops working. Banks and their employees place trust in their risk models to help ensure the bank maintains liquidity even in the worst of times. Put simply, consumers trust banks to keep their money safe and return the money when requested.

Risk 77

Risk Risk Management Reporting Metadata 77

IBM Big Data Hub

DECEMBER 4, 2023

In a new case study featuring IBM, Gartner talks about how to establish a governance framework to streamline the process of detecting and managing technology ethics concerns in AI projects. The Board recently published its point of view on foundation models addressing the risks that generative AI poses.

Consulting 85

Consulting Risk Metadata Risk Management 85

CIO Business Intelligence

AUGUST 30, 2023

In my previous column in May, when I wrote about generative AI uses and the cybersecurity risks they could pose , CISOs noted that their organizations hadn’t deployed many (if any) generative AI-based solutions at scale. Today, it is, as they create a mysterious new risk and attack surface to defend against.

Enterprise 132

Enterprise Risk Measurement Software 132

CIO Business Intelligence

JANUARY 11, 2024

CIOs are under increasing pressure to deliver AI across their enterprises – a new reality that, despite the hype, requires pragmatic approaches to testing, deploying, and managing the technologies responsibly to help their organizations work faster and smarter. The top brass is paying close attention.

Enterprise 128

Enterprise Uncertainty Risk Management Reporting 128

O'Reilly on Data

JANUARY 22, 2019

An exploration of three types of errors inherent in all financial models. At Hedged Capital , an AI-first financial trading and advisory firm, we use probabilistic models to trade the financial markets. All financial models are wrong. Clearly, a map will not be able to capture the richness of the terrain it models.

Modeling 134

Modeling Finance Uncertainty Data mining 134

IBM Big Data Hub

JANUARY 16, 2024

The start of 2024 brings forth many questions as to what we can expect in the year ahead, especially in the financial services industry, where technological advances have skyrocketed and added complexities to an already turbulent landscape. This is something we’re likely to see more of this year.

Risk Management 51

Risk Management Insurance Cost-Benefit Risk 51

DataRobot

OCTOBER 5, 2021

But the technology’s ability to unleash rapid impact with great scope and unique dimensions can also increase organizational risk. For companies implementing AI systems, that risk extends beyond revenue to the reputational damage of using an algorithm that is perceived to be discriminatory or harmful to vulnerable groups.

Risk Management 95

Risk Management Testing Risk Data Science 95

CIO Business Intelligence

OCTOBER 4, 2023

Since 1998, the brand has evolved and grown in step with technology, and today, the size of its network and consumer use has made it a household name in digital payment systems. Initially, the company emerged from x.com and Confinity as a crypto company, developing P2P payments and using PalmPilot’s Beam technology. trillion last year.

Digital Transformation 132

Digital Transformation Deep Learning Data Lake Risk 132