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. .

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Risk Optimization Management Insurance 99

CIO Business Intelligence

AUGUST 13, 2024

Integrating AI and large language models (LLMs) into business operations unlocks new possibilities for innovation and efficiency, offering the opportunity to grow your top line revenue, and improve bottom line profitability. How can you close security gaps related to the surge in AI apps in order to balance both the benefits and risks of AI?

Risk 115

Risk Cost-Benefit Enterprise Modeling 115

CIO Business Intelligence

OCTOBER 17, 2024

With the prohibitive cost of computing power and other expenses needed to deploy AI models, many businesses not only lack the resources, they also often require help identifying and executing the best use cases. To choose the right AI model, you should first examine how AI can add value to their operations while driving efficiencies.

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Modeling Data Processing Optimization Risk 127

CIO Business Intelligence

OCTOBER 9, 2024

However, this enthusiasm may be tempered by a host of challenges and risks stemming from scaling GenAI. Depending on your needs, large language models (LLMs) may not be necessary for your operations, since they are trained on massive amounts of text and are largely for general use.

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Smart Data Collective

FEBRUARY 3, 2022

Therefore, the subscription business model is changing how customers pay for the service they receive. Hover, the subscription model can be quite challenging for businesses. If they wish to implement this model, they need to have an information collection system to keep track of billing and customer requests.

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Optimization Data Analytics Modeling Analytics 113

CIO Business Intelligence

SEPTEMBER 9, 2024

As IT landscapes and software delivery processes evolve, the risk of inadvertently creating new vulnerabilities increases. These risks are particularly critical for financial services institutions, which are now under greater scrutiny with the Digital Operational Resilience Act ( DORA ).

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Risk Management Risk Management IT 112

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.

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Risk Modeling Machine Learning Data Quality 64

datapine

MAY 31, 2022

More and more CRM, marketing, and finance-related tools use SaaS business intelligence and technology, and even Adobe’s Creative Suite has adopted the model. This increases the risks that can arise during the implementation or management process. The next part of our cloud computing risks list involves costs.

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Risk Cost-Benefit Business Intelligence Data-driven 237

CIO Business Intelligence

DECEMBER 14, 2023

As CIOs seek to achieve economies of scale in the cloud, a risk inherent in many of their strategies is taking on greater importance of late: consolidating on too few if not just a single major cloud vendor. This is the kind of risk that may increasingly keep CIOs up at night in the year ahead.

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Risk Cost-Benefit Strategy Risk Management 129

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.

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Machine Learning Risk Management Statistics 224

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;

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Risk Modeling Risk Management Measurement 78

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.

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Risk Modeling Management Metadata 70

Cloudera

DECEMBER 19, 2023

There, I met with IT leaders across multiple lines of business and agencies in the US Federal government focused on optimizing the value of AI in the public sector. As also expected, most had experimented on their own with large language models (LLM) and image generators. Our government leaders had several suggestions: Start small.

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Optimization Cost-Benefit Unstructured Data Risk 89

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.

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Data Architecture Risk Management Risk Management 84

CIO Business Intelligence

JULY 22, 2024

As a result, organizations were unprepared to successfully optimize or even adequately run their cloud deployments and manage costs, prompting their move back to on-prem. CIOs also now can consider edge computing and micro data centers as alternatives to traditional dedicated data centers, cloud, and aaS models. a private cloud).

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Optimization Strategy IT Cost-Benefit 128

Smart Data Collective

FEBRUARY 28, 2023

One of the most important changes pertains to risk parity management. We are going to provide some insights on the benefits of using machine learning for risk parity analysis. However, before we get started, we will provide an overview of the concept of risk parity. What is risk parity? What is risk parity?

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Machine Learning Risk Cost-Benefit Marketing 89

IBM Big Data Hub

MAY 13, 2024

In the previous blog , we discussed the differentiated approach by IBM to delivering enterprise-grade models. In this blog, we delve into why foundation model choices matter and how they empower businesses to scale gen AI with confidence. Why are model choices important?

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Modeling Cost-Benefit Risk Testing 70

John Wheeler

NOVEMBER 24, 2020

However, for security and risk management professionals it can make a huge difference. Take for example the terms cyber risk, digital risk and the digitalization of risk management. Viewed together, the three terms represent key aspects of integrated risk management (IRM). For Shakespeare’s Juliet, not much.

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Risk Management Risk Management Technology 85

CIO Business Intelligence

JANUARY 24, 2024

The product — a building or bridge — might be physical but it can be represented digitally, through virtual design and construction, she says, with elements of automation that can optimize and streamline entire business processes for how physical products are delivered to clients. Hire the right architects.

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Risk Management Risk Management Digital Transformation 114

CIO Business Intelligence

DECEMBER 28, 2023

The need to manage risk, adhere to regulations, and establish processes to govern those tasks has been part of running an organization as long as there have been businesses to run. Furthermore, the State of Risk & Compliance Report, from GRC software maker NAVEX, found that 20% described their programs as early stage. What is GRC?

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Risk Risk Management Strategy Enterprise 110

CIO Business Intelligence

JULY 23, 2023

When respondents were asked what modernization imperatives are causing them to lose sleep at night, the need to improve overall IT performance (60%) topped the list, followed by data security (50%), process risk and compliance (46%), and the need to improve agility (41%). Learn more about how companies can optimize their IT.

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Optimization IT Digital Transformation Uncertainty 84

CIO Business Intelligence

JUNE 21, 2024

INE Security , a leading global cybersecurity training and cybersecurity certification provider, predicts large language model (LLM) applications like chatbots and AI-drive virtual assistants will be at particular risk. “AI Strategies to Optimize Teams for AI and Cybersecurity 1.

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IBM Big Data Hub

MARCH 6, 2024

The hybrid model allows organizations to gradually transition to the cloud, managing risks associated with a complete migration while benefiting from cloud scalability and flexibility. Re-platforming With a re-platforming migration, some adjustments or optimizations are made to the applications before moving them to the cloud.

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Optimization Strategy Cost-Benefit Testing 73

The Unofficial Google Data Science Blog

APRIL 23, 2024

If the relationship of $X$ to $Y$ can be approximated as quadratic (or any polynomial), the objective and constraints as linear in $Y$, then there is a way to express the optimization as a quadratically constrained quadratic program (QCQP). Figure 2: Spreading measurements out makes estimates of model (slope of line) more accurate.

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IBM Big Data Hub

NOVEMBER 6, 2023

It’s at these endpoints that company and user data is vulnerable to various types of attacks and security risks, including: Authentication-based attacks : where hackers try to guess or steal user passwords or exploit weak authentication processes to gain access to API servers. AI technologies can also enable automated threat modeling.

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Optimization Testing Software Risk 113

IBM Big Data Hub

MAY 8, 2023

This blog continues the discussion, now investigating the risks of adopting AI and proposes measures for a safe and judicious response to adopting AI. Risk and limitations of AI The risk associated with the adoption of AI in insurance can be separated broadly into two categories—technological and usage.

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Insurance Risk Testing Data Quality 68

CIO Business Intelligence

JULY 19, 2022

Phishing/pharming, card testing, identity theft, and first-party misuse remain the most prevalent fraud attacks, each affecting more than three in 10 merchants globally, according to 2022 Global Fraud Report , by the Merchants Risk Council, Cybersource, and Verifi. 1] Cybersource/PYMNTS, 2022 Global Digital Shopping Index , February 2022. [2]

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CIO Business Intelligence

NOVEMBER 19, 2024

Data privacy and compliance issues Failing: Mismanagement of internal data with external models can lead to privacy breaches and non-compliance with regulations. Bias and hallucinations Failing: GenAI models often produce biased or inaccurate outputs, leading to misinformation and potential legal issues.

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Consulting Cost-Benefit Experimentation Optimization 114

O'Reilly on Data

JUNE 19, 2019

A look at the landscape of tools for building and deploying robust, production-ready machine learning models. We are also beginning to see researchers share sample code written in popular open source libraries, and some even share pre-trained models. Model development. Model governance. Source: Ben Lorica.

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DataRobot

AUGUST 27, 2021

Individuals who will identify as at-risk students. A university can use AI to better manage student applications with a machine learning model that can predict whether a prospective student will apply. Florida International University is an example of a university that has already implemented AI to predict and help at-risk students.

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Optimization Cost-Benefit Machine Learning Risk 97

Smart Data Collective

OCTOBER 13, 2021

It’s similar to prices – price optimization through machine learning is a great tool to grow your revenue. Figuring out the best pricing model can be tricky. By processing and analyzing big amounts of data, they can help you establish optimized pricing plans. Hire machine learning to make optimal pricing decisions.

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Machine Learning Optimization Software Modeling 126

IBM Big Data Hub

JUNE 19, 2023

Companies can manufacture products closer to the consumer, reducing the risk of disruption caused by natural disasters and geopolitical instability. The European Union and China are investing trillions in their economies to rebuild local industries and create a less risk-prone supply chain.

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Smart Data Collective

FEBRUARY 9, 2022

Luckily, there are a few analytics optimization strategies you can use to make life easy on your end. Helps you to determine areas of abnormal losses and profits to optimize your trading algorithm. For example, the trading duration, volatility and risk involved, among other things.

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CIO Business Intelligence

NOVEMBER 16, 2023

A large language model (LLM) is a type of gen AI that focuses on text and code instead of images or audio, although some have begun to integrate different modalities. But there’s a problem with it — you can never be sure if the information you upload won’t be used to train the next generation of the model. Dig Security isn’t alone.

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IBM Big Data Hub

SEPTEMBER 12, 2023

The UK government’s Ecosystem of Trust is a potential future border model for frictionless trade, which the UK government committed to pilot testing from October 2022 to March 2023. The models also reduce private sector customs data collection costs by 40%.

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Smart Data Collective

FEBRUARY 14, 2023

However, it is important to understand the benefits and risks associated with cloud computing before making the commitment. However, there are some risks associated with using cloud-based software for business purposes. Firstly, there is always the risk of data breaches due to cyber-attacks or human error.

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