CIO Business Intelligence

JULY 31, 2023

They note, too, that CIOs — being top technologists within their organizations — will be running point on those concerns as companies establish their gen AI strategies. Here’s a rundown of the top 20 issues shaping gen AI strategies today. How has, say, ChatGPT hit your business model?” This is an issue for CIOs.

Strategy 98

Strategy Risk Enterprise Risk Management 98

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

CIO Business Intelligence

MARCH 8, 2023

As organizations shape the contours of a secure edge-to-cloud strategy, it’s important to align with partners that prioritize both cybersecurity and risk management, with clear boundaries of shared responsibility. Outsourcing IT operations has become a smart business strategy. Include the enterprise risk management team.

Modeling 95

Modeling Risk Management Internet of Things Risk 95

Alation

MARCH 14, 2023

Data gathering and use pervades almost every business function these days — and it’s widely acknowledged that businesses with a clear strategy around data are best placed to succeed in competitive, challenging markets such as defence. What is a data strategy? Why is a data strategy important?

Data Strategy 52

Data Strategy Strategy Metadata Data Quality 52

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

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

Cloudera

OCTOBER 20, 2021

Since then, a further update has been made to the BIS stress testing principles that continues to emphasize the importance of scenarios in better understanding risk. . When it comes to measuring climate risk, generating scenarios will be a critical tactic for financial institutions and asset managers. agent-based model (ABM) ?in

Risk 78

Risk Modeling Risk Management Measurement 78

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. What is GRC? GRC is overarching. Why is GRC important?

Risk 115

Risk Risk Management Strategy Enterprise 115

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. Luckily, many are expanding budgets to do so. “94%

Digital Transformation 143

Digital Transformation Unstructured Data Machine Learning Risk Management 143

Smart Data Collective

JULY 16, 2023

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. We will talk about some of the biggest ways that big data is changing the future of risk management among hedge funds.

ROI 69

ROI Data Analytics Analytics Risk Management 69

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

IBM Big Data Hub

MARCH 4, 2024

While many organizations have implemented AI, the need to keep a competitive edge and foster business growth demands new approaches: simultaneously evolving AI strategies, showcasing their value, enhancing risk postures and adopting new engineering capabilities. Consider the following: Do you need a public foundation model?

Enterprise 107

Enterprise ROI Risk Strategy 107

CIO Business Intelligence

NOVEMBER 21, 2023

After all, 41% of employees acquire, modify, or create technology outside of IT’s visibility , and 52% of respondents to EY’s Global Third-Party Risk Management Survey had an outage — and 38% reported a data breach — caused by third parties over the past two years.

IT 137

IT Risk Cost-Benefit Risk Management 137

CIO Business Intelligence

SEPTEMBER 14, 2023

Nasdaq is currently using gen AI for a range of applications, including supporting digital investigators’ efforts to identify financial crime risk and empowering corporate boards to consume presentations and disclosures more efficiently.

Risk Management 116

Risk Management Risk Marketing Cost-Benefit 116

CIO Business Intelligence

APRIL 5, 2024

Senate Bill 1047 , introduced in the California State Legislature in February, would require safety testing of AI products before they’re released, and would require AI developers to prevent others from creating derivative models of their products that are used to cause critical harms.

Risk 132

Risk Interactive Insurance Strategy 132

Cloudera

MARCH 25, 2021

Probably more well known, the EU’s GDPR serves as a model for much of the new data privacy legislation coming forward. Risk management can be optimized by the improved use of data and analytics to run models, account for more variables and scrutinize probable outcomes. appeared first on Cloudera Blog.

Data Strategy 64

Data Strategy Strategy Enterprise Insurance 64

IBM Big Data Hub

APRIL 19, 2024

Mobile-connected technicians experience improved safety through measures such as access control, gas detection, warning messages or fall recognition, which reduces risk exposure and enhances operational risk management (ORM) during work execution. Risk-based asset strategies align maintenance efforts to balance costs and risks.

Management 94

Management Internet of Things Risk IoT 94

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 125

Enterprise Modeling Testing Data-driven 125

CIO Business Intelligence

MARCH 21, 2024

Through this strategy, Lovelady and his team have struck the often difficult to balance attributes of business unit flexibility with enterprise scale. “At These include network management, help desk, establishing and enforcing policies related to information security and risk management, and several other IT functions.

IT 112

IT Manufacturing Risk Management Risk 112

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 135

Modeling Finance Uncertainty Data mining 135

IBM Big Data Hub

MARCH 25, 2024

Developing a risk management strategy for insurance and other financial services In recent years, financial services firms have realized that they need a decision-making strategy that accounts for the implications of climate change.

Insurance 95

Insurance Forecasting Risk Risk Management 95

CIO Business Intelligence

AUGUST 25, 2022

As organizations shape the contours of a secure edge-to-cloud strategy, it’s important to align with partners that prioritize both cybersecurity and risk management, with clear boundaries of shared responsibility. Outsourcing IT operations has become a smart business strategy. Include the enterprise risk management team.

Risk Management 116

Risk Management Internet of Things Risk IoT 116

CIO Business Intelligence

JUNE 23, 2023

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%). Sixty-five percent of respondents cited implementing a hybrid cloud strategy as a top priority.

IT 98

IT Risk Management Risk Optimization 98

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. COBIT 2019 was introduced to build governance strategies that are more flexible and collaborative and that address new and changing technology.

Risk Management 94

Risk Management Strategy Digital Transformation Enterprise 94

CIO Business Intelligence

SEPTEMBER 7, 2023

Additionally, it’s paramount within the financial services sector to ensure responsible AI and adherence to regulatory guidance for model risk. Keeping our AI approach interpretable and managing bias becomes crucial. Shaun has over 20 years of IT experience with specialization in information security and risk management.

Risk Management 98

Risk Management Risk Testing Digital Transformation 98

CIO Business Intelligence

JANUARY 11, 2024

IT leaders understand that the models are only as good as the information on which they are educated. Ensuring data integrity is part of a broader governance approach organizations will require to deploy and manage AI responsibly. For more insights, strategies, and best practices for IT leaders, visit Workday’s CIO Insights.

Enterprise 128

Enterprise Uncertainty Risk Management Reporting 128

Smart Data Collective

SEPTEMBER 17, 2020

Financial institutions such as banks have to adhere to such a practice, especially when laying the foundation for back-test trading strategies. There is significant competition in the industry, and emerging tactics and strategies must be accepted to survive the market competition. The Role of Big Data. Perks Associated with Big Data.

Big Data 140

Big Data Finance Risk Management Risk 140

CIO Business Intelligence

NOVEMBER 23, 2022

Enterprise architecture definition Enterprise architecture (EA) is the practice of analyzing, designing, planning, and implementing enterprise analysis to successfully execute on business strategies. Another main priority with EA is agility and ensuring that your EA strategy has a strong focus on agility and agile adoption.

Enterprise 128

Enterprise Cost-Benefit Digital Transformation Strategy 128

IBM Big Data Hub

DECEMBER 4, 2023

IBM’s governance framework is built around four core roles within the company: The Policy Advisory Committee: senior global leaders who provide oversight of the AI Ethics Board and help to establish the company’s strategy and risk tolerance. It helps accelerate responsible, transparent and explainable AI workflows.

Consulting 82

Consulting Risk Metadata Risk Management 82

CIO Business Intelligence

MARCH 14, 2024

“MBA programs can also help leaders hone their communication and negotiation skills while also improving their understanding of organizational behavior, strategic planning, and risk management through exposure to experienced peers and varied coursework,” Bhargava explains.

IT 127

IT Strategy Digital Transformation Risk Management 127

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

MARCH 18, 2024

When it comes to AI, Nafde sees risks in the vendors selected, the business-worthiness of the use case, and the cost of the initiative. The CIO has strategies in place to address all three. We are proceeding cautiously because the rise of LLMs [large language models] presents a new level of data security risk,” he says. “We

Risk 133

Risk Cost-Benefit Data Processing Testing 133

IBM Big Data Hub

JANUARY 30, 2024

Finance: Optimized for high-speed transactions and can assist in providing robust security, harnessing AI for fraud detection and real-time risk management. Retail: Manage e-commerce platforms, customer data analytics and supply chain logistics, where data analysis often must occur at the edge.

Manufacturing 80

Manufacturing Business Objectives Optimization Risk Management 80

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. Additionally, BI tools enable organizations to adopt a data-driven approach to strategy formulation, leading to more informed decision-making at all levels.

Business Intelligence 52

Business Intelligence Software Data-driven Predictive Modeling 52

IBM Big Data Hub

DECEMBER 15, 2023

There are various examples of sustainable business practices that companies can adopt to improve their business model. One common corporate sustainability strategy is known as the triple bottom line. The company promotes the “ buy less, demand more ” motto throughout their business model.

Consulting 73

Consulting Manufacturing Strategy Risk Management 73

CIO Business Intelligence

OCTOBER 13, 2023

Here are the top 11 roles companies are currently hiring for, or have plans to hire for, to directly address their emerging gen AI strategies. It’s a role that requires experience with natural language processing , coding languages, statistical models, and large language and generative AI models.

Deep Learning 143

Deep Learning Machine Learning Modeling Software 143

erwin

JULY 12, 2019

So it’s important to understand how to use strategic data governance to manage the complexity of regulatory compliance and other business objectives … Designing and Operationalizing Regulatory Compliance Strategy. How erwin Can Help.

Data Governance 110

Data Governance Management Metadata Risk Management 110