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.

Optimization 92

Optimization Cost-Benefit Unstructured Data Risk 92

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 83

Risk Modeling Risk Management Measurement 83

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.

Machine Learning 220

Machine Learning Risk Management Statistics 220

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?

Risk 104

Risk Risk Management Strategy Enterprise 104

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.

Risk Management 85

Risk Management Risk Management Technology 85

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.

Optimization 77

Optimization IT Digital Transformation Uncertainty 77

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 73

Insurance Risk Testing Data Quality 73

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 83

Risk Manufacturing Reporting Modeling 83

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.

Modeling 136

Modeling Enterprise Marketing Sales 136

CIO Business Intelligence

DECEMBER 19, 2023

Their steady income stream and relatively low risk compared to equities make them an especially important component of pension and retirement planning. Each type of issuer presents a different level of risk and tax treatment. Hexaware conducted extensive fine-tuning to adapt the model to different industries and company types. “We

Risk 52

Risk Cost-Benefit Unstructured Data Data-driven 52

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.

Machine Learning 126

Machine Learning Optimization Software Modeling 126

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.

Optimization 97

Optimization Cost-Benefit Machine Learning Risk 97

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.

Visualization 133

Visualization Optimization Analytics Testing 133

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%.

Testing 91

Testing Modeling Cost-Benefit Consulting 91

CIO Business Intelligence

APRIL 16, 2024

While warp speed is a fictional concept, it’s an apt way to describe what generative AI (GenAI) and large language models (LLMs) are doing to exponentially accelerate Industry 4.0. By leveraging a GenAI-fueled edge with small language models (SLMs), this lengthy work will be streamlined and simplified. Data privacy and security.

Manufacturing 141

Manufacturing Digital Transformation Risk Dashboards 141

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 84

Forecasting Optimization Digital Transformation Risk 84

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 100

Risk Cost-Benefit Software Technology 100

CIO Business Intelligence

FEBRUARY 1, 2023

As organizations of all stripes continue their migration to the cloud, they are coming face to face with sometimes perplexing cost issues, forcing them to think hard about how best to optimize workloads, what to migrate, and who exactly is responsible for what. You need to “identify benefits and risks,” Seiter said.

Optimization 111

Optimization Cost-Benefit Consulting Strategy 111

IBM Big Data Hub

MAY 1, 2023

However, regardless of your cloud cost optimization strategy, achieving operational excellence at scale and taking advantage of the elasticity of the cloud requires software that optimizes your consumption simultaneously for performance and cost—and makes it easy for you to automate it, safely and confidently.

Optimization 86

Optimization ROI Consulting Dashboards 86

IBM Big Data Hub

APRIL 19, 2024

Asset performance management (APM) processes, such as risk-based and predictive maintenance and asset investment planning (AIP), enable health monitoring technologies. Cybersecurity reduces risk exposure for cyberattacks on digitally connected assets. Risk-based asset strategies align maintenance efforts to balance costs and risks.

Management 91

Management Internet of Things Risk IoT 91

Smart Data Collective

JULY 20, 2022

A growing number of businesses use big data technology to optimize efficiency. While there are various interpretations or models to address such problems, Lean Thinking can contribute to the implementation of more optimal projects for a business. Data-driven decision-making has become a major element of modern business.

Data-driven 125

Data-driven Optimization Big Data Data Strategy 125

CIO Business Intelligence

DECEMBER 20, 2022

Deploying data and workloads in this model offers the potential for incredible value, including improved agility, functionality, cost savings, performance, cloud security, compliance, sustainability, disaster recovery—the list goes on. Regardless, you need a plan in place before you make this transition.

Optimization 88

Optimization Cost-Benefit Modeling Risk 88

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 90

Risk Marketing Technology Management 90

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 57

Risk Modeling Enterprise Interactive 57

erwin

JANUARY 9, 2020

For decades, data modeling has been the optimal way to design and deploy new relational databases with high-quality data sources and support application development. Today’s data modeling is not your father’s data modeling software. So here’s why data modeling is so critical to data governance.

Data Governance 144

Data Governance Modeling Metadata Unstructured Data 144

Rita Sallam

APRIL 2, 2023

Are there mitigation strategies that show reasons for optimism? Are there mitigation strategies that can be implemented successfully that could provide policy guidance and reasons for optimism in the face of ever increasing frequency of extreme weather events? million people at risk of catastrophic, flooding.

Optimization 52

Optimization Machine Learning Insurance Risk 52

CIO Business Intelligence

APRIL 1, 2024

Deloitte 2 meanwhile found that 41% of business and technology leaders said a lack of talent, governance, and risks are barriers to broader GenAI adoption. This will help you curb risks as well as reduce the likelihood of wasted efforts that can accompany dirty data. Right-size your model(s). Choose a workload location.

Data Lake 130

Data Lake Consulting Uncertainty Risk 130

Laminar Security

DECEMBER 1, 2023

As more organizations migrate their data to the cloud, they face an increasing range of risks and threats, including data breaches, data leakage, data loss, data misuse, data compliance violations, shadow data and more. As the quantity of shadow data grows, so does the potential risk for a data breach.

Modeling 52

Modeling Cost-Benefit Risk Data-driven 52

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

IBM Big Data Hub

AUGUST 7, 2023

Tackling complexities in clinical trial site selection: A playground for a new technology and AI operating model Enrollment strategists and site performance analysts are responsible for constructing and prioritizing robust end-to-end enrollment strategies tailored to specific trials. To do so they require data, which is in no shortage.

Optimization 59

Optimization Forecasting Data-driven Strategy 59

Rita Sallam

JUNE 2, 2023

Are there mitigation strategies that show reasons for optimism? Are there mitigation strategies that can be implemented successfully that could provide policy guidance and reasons for optimism in the face of ever increasing frequency of extreme weather events? million people at risk of catastrophic, flooding.

Optimization 52

Optimization Insurance Machine Learning Risk 52

Domino Data Lab

JUNE 6, 2023

New use cases drive innovative new products, optimize processes and make money. Yet with AI's great power, organizations must still mitigate risk and behave responsibly. Artificial intelligence technology is spreading rapidly across the economy.

Enterprise 52

Enterprise Modeling Risk Optimization 52

erwin

MAY 14, 2021

But even though speed is critical, businesses must take the time to model and document new applications for compliance and transparency. For decades, data modeling has been the optimal way to design and deploy new relational databases with high-quality data sources and support application development.

Modeling 80

Modeling Digital Transformation Data-driven Optimization 80

CIO Business Intelligence

MAY 9, 2024

At a high level, a CAIO will need to understand the business well enough to identify where AI can make an impact, whether through new value streams or optimization, Daly says. Companies want candidates who can drive innovation, deliver meaningful business results, and work closely with other leaders to manage risks.

Risk Management 125

Risk Management Risk Cost-Benefit Technology 125

IBM Big Data Hub

JANUARY 25, 2024

Yet many AI creators are currently facing backlash for the biases, inaccuracies and problematic data practices being exposed in their models. The math demonstrates a powerful truth All predictive models, including AI, are more accurate when they incorporate diverse human intelligence and experience.

Predictive Modeling 89

Predictive Modeling Modeling Risk Statistics 89

IBM Big Data Hub

JUNE 14, 2023

And then you need highly specialized, expensive and difficult to find skills to work the magic of training an AI model. But that’s all changing thanks to pre-trained, open source foundation models. Sometimes, you don’t know what data a model was trained on because the creators of those models won’t tell you.

Modeling 91

Modeling Data Lake Enterprise Deep Learning 91