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

IBM Big Data Hub

FEBRUARY 13, 2024

Driving optimal application performance while minimizing costs has become paramount as organizations strive for positive user experiences. The significance of optimizing application performance Optimizing application development and performance is a must in a world where a user’s experience can control a business’ trajectory.

Optimization 66

Optimization Metrics Machine Learning Dashboards 66

Smart Data Collective

FEBRUARY 28, 2023

Here at Smart Data Collective, we have blogged extensively about the changes brought on by AI technology. Over the past few months, many others have started talking about some of the changes that we blogged about for years. One of the most important changes pertains to risk parity management. What is risk parity?

Machine Learning 84

Machine Learning Risk Cost-Benefit Marketing 84

The Unofficial Google Data Science Blog

APRIL 23, 2024

This blog post discusses such a comprehensive approach that is used at Youtube. 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).

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

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.

Optimization 115

Optimization Testing Software Risk 115

IBM Big Data Hub

SEPTEMBER 27, 2023

All this reduces the risk of a data leak or unauthorized access. Additionally, efficiently optimizing an open source LLM can reduce latency and increase performance. Education on these risks is one answer to these issues of data and AI. An LLM like Falcon-40B, offered under an Apache 2.0 It trained on a dataset containing 1.5

Risk 93

Risk Modeling Cost-Benefit Enterprise 93

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.

Insurance 69

Insurance Risk Testing Data Quality 69

IBM Big Data Hub

NOVEMBER 30, 2023

Chief Supply Chain Officers (CSCO) and other executives seek to optimize their supply chain by infusing AI, modernizing their technology and addressing sustainability goals. Actionable steps will be developed through the lens of use cases on how the main risk factors can be transformed into opportunities.

Optimization 49

Optimization Cost-Benefit Risk Sales 49

IBM Big Data Hub

OCTOBER 16, 2023

In addition, real-time monitoring helps to comply with SLAs, reduce risks and safeguard your operations. Resource allocation can then be managed by optimizing efficiency and eliminating waste. You can ensure optimal resource allocation and discover any irregularities or spikes that may impair performance by analyzing CPU utilization.

Risk 68

Risk Optimization Interactive Management 68

Smart Data Collective

JULY 8, 2021

Let’s talk about some benefits and risks of artificial intelligence. The AI world is experiencing fast development and we will soon have new AI-powered machines with optimized machine learning abilities. This data helps us get a deeper insight into the processes and allow us to optimize them even better.

Risk 141

Risk Cost-Benefit Machine Learning Deep Learning 141

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.

Risk 78

Risk Manufacturing Reporting Modeling 78

Decision Management Solutions

MARCH 4, 2020

Balancing key profit drivers such as revenue, risk, & costs is central to success in lending and many other high volume, transactional decisions targeted with Decision Management. Add mathematical optimization and you can go even further. It will show you the value of decision optimization and identify the critical success factors.

Optimization 83

Optimization Cost-Benefit Publishing Strategy 83

IBM Big Data Hub

APRIL 12, 2024

This blog series discusses the complex tasks energy utility companies face as they shift to holistic grid asset management to manage through the energy transition. Asset investment planning (AIP) tools bring value in optimizing various, sometimes conflicting, value drivers.

Optimization 83

Optimization Risk Risk Management Management 83

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.

Risk 97

Risk Cost-Benefit Software Technology 97

IBM Big Data Hub

MAY 1, 2023

In this blog post, we will review the various methods of GCP cloud cost management, what problems they address and how GCP users can best use them. Let’s review how IBM Turbonomic helps customers optimize their GCP cloud costs. The only way to optimize horizontal scaling is to do it in real-time through automation.

Optimization 81

Optimization ROI Consulting Dashboards 81

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 80

Risk Modeling Risk Management Measurement 80

IBM Big Data Hub

APRIL 19, 2024

This blog series discusses the complex tasks energy utility companies face as they shift to holistic grid asset management to manage through the energy transition. Asset performance management (APM) processes, such as risk-based and predictive maintenance and asset investment planning (AIP), enable health monitoring technologies.

Management 87

Management Internet of Things Risk IoT 87

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 72

Risk Modeling Management Metadata 72

IBM Big Data Hub

MAY 1, 2024

In the age of digital transformation, the integration of advanced technologies like generative artificial intelligence brings a new era of innovation and optimization. From demand forecasting to route optimization, inventory management and risk mitigation, the applications of generative AI are limitless.

Forecasting 80

Forecasting Optimization Digital Transformation Risk 80

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

MAY 13, 2024

This blog series demystifies enterprise generative AI (gen AI) for business and technology leaders. In the previous blog , we discussed the differentiated approach by IBM to delivering enterprise-grade models. Optimize costs across use cases : Different models have varying cost implications.

Modeling 71

Modeling Cost-Benefit Risk Testing 71

IBM Big Data Hub

AUGUST 17, 2023

Overprovisioning is the go-to strategy for avoiding performance risks. Hello, automation IBM Turbonomic optimizes your Kubernetes environment through container rightsizing, pod suspension and provisioning, pod moves and cluster scaling actions. It’s a low-risk way to get comfortable with automation.

Risk 58

Risk Metrics Dashboards Optimization 58

Jedox

NOVEMBER 23, 2021

The last blog post from our guest authors at smartPM.solutions was about S&OP maturity and the classification of your current S&OP situation according to the 5-stage Gartner S&OP Maturity Model. If you have not yet determined your S&OP maturity stage, you can do so in our last blog post.

Optimization 74

Optimization Forecasting Sales Measurement 74

CIO Business Intelligence

MAY 21, 2024

It will serve as the “nerve center” of an enterprise’s IT operation, the company said, adding that the offering will generate insights across an enterprise’s folio of applications to help reduce risk and compliance processes.

Enterprise 82

Enterprise Management Data Lake Risk 82

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 88

Risk Marketing Technology Management 88

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. Joe Rodriguez, Sr.

Data Analytics 79

Data Analytics Risk Management Digital Transformation Analytics 79

Rita Sallam

APRIL 2, 2023

Are there mitigation strategies that show reasons for optimism? We also gave the demo script and data set to all vendors in the Exhibit Hall to create demos for their booths and to submit for this blog. The results showing the impact of flooding, predictions for the future and reasons for optimism were fascinating.

Optimization 52

Optimization Machine Learning Insurance Risk 52

Rita Sallam

JUNE 2, 2023

Are there mitigation strategies that show reasons for optimism? We also gave the demo script and data set to all vendors in the Exhibit Hall to create demos for their booths and to submit for this blog. The results showing the impact of flooding, predictions for the future and reasons for optimism were fascinating.

Optimization 52

Optimization Insurance Machine Learning Risk 52

IBM Big Data Hub

AUGUST 16, 2023

Nevertheless, I also understand the criticality of evaluating the inherent risks before embarking on its direct adoption within our organizations. In this discussion, I explore the risks and challenges associated with ChatGPT in an enterprise context, necessitating a careful approach to its implementation.

Risk 54

Risk Modeling Enterprise Interactive 54

Ontotext

APRIL 27, 2023

ONTOTEXT ANSWER: The question of optimizing any database is often a critical one. So, what is most optimal for performance and how to save costs? Random access memory Random access memory is probably the easiest to understand when it comes to optimizing GraphDB’s performance. Those are memory, processor and storage.

Optimization 52

Optimization Cost-Benefit Risk Technology 52

Paul Blogs on BI

APRIL 10, 2024

It takes a lot of concentration and requires the dancer to slow down plus the risk of dropping a hoop is high. But trying to set up 15 hoops around your body while dancing and staying in beat to the drums is not easy. The winner kept up his energy and enthusiasm and went with just 7 hoops.

Business Intelligence 52

Business Intelligence Optimization Recreation/Entertainment Dashboards 52

Cloudera

MAY 18, 2021

These interactions are captured and the resulting synthetic data sets can be analysed for a number of applications, such as training models to detect emergent fraudulent behavior, or exploring “what-if” scenarios for risk management. Value-at-Risk (VaR) is a widely used metric in risk management. Intraday VaR. Citations. [1]

Risk 96

Risk Marketing Risk Management Data-driven 96

IBM Big Data Hub

JULY 10, 2023

Proactively detecting and addressing potential mechanical failures significantly reduces the risk of accidents and injuries in the workplace. Rectifying issues using vibration analysis helps organizations optimize asset efficiency and reduce energy consumption. appeared first on IBM Blog.

Optimization 55

Optimization IT Measurement Cost-Benefit 55

CIO Business Intelligence

NOVEMBER 8, 2023

This requires knowing the risks involved with the cloud, which include external risks and threats, as well as internal risks and threats that could not only lead to a security compromise or an embarrassing leak but may affect organizations’ overall productivity and efficiency. 8 Complexity. 8 Complexity. Operational costs.

Cost-Benefit 124

Cost-Benefit Risk Digital Transformation Reporting 124

IBM Big Data Hub

AUGUST 7, 2023

In an ideal scenario, they would be able to, with relative and consistent accuracy, predict performance of clinical trial sites that are at risk of not meeting their recruitment expectations. It explores the impact of different scenarios, evaluate trade-offs, and determine the optimal actions to be taken. Clinical Trials.

Optimization 56

Optimization Forecasting Data-driven Strategy 56

bridgei2i

SEPTEMBER 24, 2020

From supply chain optimization to automating recurring tasks, using chatbots and personalizing suggestions for improved customer service, and making the most of business intelligence for better decision making, AI is the go-to choice for most businesses, irrespective of the industry. However, risk management is no way lagging.

Risk Management 52

Risk Management Risk Enterprise Management 52

IBM Big Data Hub

DECEMBER 14, 2023

To combat these ever-growing risks, the concept of cyber resiliency has gained significant importance. In this blog, we will explore the concept of cyber resiliency from an IBM® perspective and how our approach can help organizations protect themselves in an ever-changing cybersecurity landscape.

Risk 80

Risk Measurement Business Objectives Optimization 80