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 87

Risk Marketing Technology Management 87

O'Reilly on Data

JUNE 15, 2023

The world changed on November 30, 2022 as surely as it did on August 12, 1908 when the first Model T left the Ford assembly line. Should we risk loss of control of our civilization?” The creators of generative AI systems and Large Language Models already have tools for monitoring, modifying, and optimizing them.

Metrics 284

Metrics Reporting Measurement Finance 284

DataKitchen

FEBRUARY 27, 2024

Your LLM Needs a Data Journey: A Comprehensive Guide for Data Engineers The rise of Large Language Models (LLMs) such as GPT-4 marks a transformative era in artificial intelligence, heralding new possibilities and challenges in equal measure. DataOps ensures that the data retrieved is relevant, high-quality, and up-to-date.

Data Quality 117

Data Quality Unstructured Data Testing Modeling 117

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

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 122

Enterprise Modeling Testing Data-driven 122

CIO Business Intelligence

MAY 24, 2024

During his 53-minute keynote, Nadella showcased updates around most of the company’s offerings, including new large language models (LLMs) , updates to Azure AI Studio , Copilot Studio , Microsoft Fabric , databases offerings , infrastructure , Power Platform , GitHub Copilot , and Microsoft 365 among others.

Uncertainty 103

Uncertainty Enterprise Modeling Software 103

O'Reilly on Data

JULY 28, 2020

Product Managers are responsible for the successful development, testing, release, and adoption of a product, and for leading the team that implements those milestones. If this sounds fanciful, it’s not hard to find AI systems that took inappropriate actions because they optimized a poorly thought-out metric.

Marketing 362

Marketing Experimentation Metrics Testing 362

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

Cloudera

OCTOBER 18, 2023

In the ever-evolving landscape of the financial services Industry, change is a constant and transformation is a requirement — to stay at pace with new regulations, risk mitigation, and the technological developments that support transformation. Debugging: Identifying and fixing bugs in code is essential for application security.

Cost-Benefit 76

Cost-Benefit Testing Machine Learning Optimization 76

IBM Big Data Hub

APRIL 5, 2024

With data nearly everywhere, organizations often possess an existing repository acquired from running traditional HPC simulation and modeling workloads. In the automotive industry, intelligent simulation speeds up innovation in new models. However, in today’s market, consumers demand rapid releases of new models.

Manufacturing 67

Manufacturing Testing Enterprise Modeling 67

CIO Business Intelligence

JANUARY 18, 2024

This level of optimism in the face of massive disruptive change may spring from common attributes that make decision-makers true leaders: vision and adaptability. “As Optimism aside, the true test is in how well organizations will master the changes to the nature of work that AI enables. As you learn, you adjust.

Finance 126

Finance Machine Learning Risk Management Optimization 126

datapine

MAY 2, 2023

You can use big data analytics in logistics, for instance, to optimize routing, improve factory processes, and create razor-sharp efficiency across the entire supply chain. Your Chance: Want to test a professional logistics analytics software? A testament to the rising role of optimization in logistics.

Big Data 275

Big Data Cost-Benefit Internet of Things Optimization 275

IBM Big Data Hub

NOVEMBER 24, 2023

While rebuild results in maximum benefit, there is a need for high degree of investment, whereas rehost is about moving applications and data as such to cloud without any optimization and this requires less investments while value is low. Subsequent phases are build and test and deploy to production.

Cost-Benefit 94

Cost-Benefit Testing Data-driven Enterprise 94

CIO Business Intelligence

DECEMBER 19, 2023

Many technology investments are merely transitionary, taking something done today and upgrading it to a better capability without necessarily transforming the business or operating model. CIOs should look for other operational and risk management practices to complement transformation programs.

Digital Transformation 143

Digital Transformation Unstructured Data Machine Learning Risk Management 143

DataKitchen

SEPTEMBER 20, 2021

The best way to ensure error-free execution of data production is through automated testing and monitoring. The DataKitchen Platform enables data teams to integrate testing and observability into data pipeline orchestrations. Automated tests work 24×7 to ensure that the results of each processing stage are accurate and correct.

Testing 246

Testing Metrics Measurement Dashboards 246

CIO Business Intelligence

DECEMBER 11, 2023

Traditionally, the work of the CFO and the finance team was focused on protecting the company’s assets and reputation and guarding against risk. They can even optimize capital allocation decisions, such as dividend distribution versus share buy-back, by rapidly modeling multiple scenarios and market conditions.

Finance 104

Finance Forecasting IoT Predictive Modeling 104

CIO Business Intelligence

AUGUST 23, 2023

Optimization problems, for which a whole chorus of variables must be fine-tuned and modulated, routinely plague financial firms, especially when it comes to highly engineered financial products such as those developed through quantitative analysis. If there’s an industry steeped in computations, it’s the financial services sector.

IT 90

IT Machine Learning Risk Optimization 90

CIO Business Intelligence

MARCH 3, 2024

Its conclusions were less than optimal. Worse, it said “adversaries are accelerating and widening their range of sophisticated attacks at scale through automation, cybercrime-as-a-service models, impersonations and adaptation.” Doing penetration testing. Zero trust is still not widely deployed, but that is changing.

IT 110

IT Measurement Risk Testing 110

Rocket-Powered Data Science

JUNE 17, 2022

Explore and test-drive it (with a free trial) here. Reference ) Security information and event management (SIEM) on the Splunk platform is enhanced with end-to-end visibility and platform extensibility, with machine learning and automation (AIOps), with risk-based alerting, and with Federated Search (i.e., is here, now!

Machine Learning 238

Machine Learning Recreation/Entertainment Risk Business Objectives 238

IBM Big Data Hub

APRIL 9, 2024

” Watsonx.data lets organizations optimize workloads for different uses. Preparing and annotating data IBM watsonx.data helps organizations put their data to work, curating and preparing data for use in AI models and applications. Watsonx.governance makes it easy to manage and deploy all these models effectively.”

Management 82

Management IT Machine Learning Metrics 82

IBM Big Data Hub

NOVEMBER 6, 2023

With 89% of digital businesses investing in personalization to enhance the customer digital experience , those that fail to do so risk falling behind. To ensure uptake of products, service providers must have the appropriate tech tools to help SMBs understand the value of these products and to help with testing and implementation.

Cost-Benefit 106

Cost-Benefit Enterprise ROI Data Warehouse 106

DataKitchen

NOVEMBER 18, 2022

As he thinks through the various journeys that data take in his company, Jason sees that his dashboard idea would require extracting or testing for events along the way. Data and tool tests. Finding trends and patterns can help your team optimize your data pipelines and predict and prevent future problems. Testing at Every Step.

Testing 130

Testing Statistics Measurement Metrics 130

CIO Business Intelligence

NOVEMBER 29, 2023

Minimize lock-in risks You need to carefully weigh the tradeoffs when it comes to leveraging each vendor’s cloud-native services. “If Most of the time, those CIOs decide to keep the multi-cloud model because they’re locked in. But if it’s overladen with optimizations, you’re stuck.” You’re trapped, big time,” says Nag.

Recreation/Entertainment 124

Recreation/Entertainment Testing Strategy Risk 124

DataKitchen

JUNE 19, 2023

Our customers start looking at the data in dashboards and models and then find many issues. Using automated data validation tests, you can ensure that the data stored within your systems is accurate, complete, consistent, and relevant to the problem at hand. The image above shows an example ‘’data at rest’ test result.

Testing 130

Testing Cost-Benefit Metrics Data Quality 130

IBM Big Data Hub

NOVEMBER 29, 2023

With the emergence of new advances and applications in machine learning models and artificial intelligence, including generative AI, generative adversarial networks, computer vision and transformers, many businesses are seeking to address their most pressing real-world data challenges using both types of synthetic data: structured and unstructured.

Metrics 83

Metrics Machine Learning Risk Statistics 83

IBM Big Data Hub

APRIL 24, 2024

Large language models (LLMs) may be the biggest technological breakthrough of the decade. While researchers have not yet found a way to completely prevent prompt injections, there are ways of mitigating the risk. While researchers have not yet found a way to completely prevent prompt injections, there are ways of mitigating the risk.

Risk 87

Risk Modeling Measurement Enterprise 87

IBM Big Data Hub

DECEMBER 4, 2023

AAR Corp, a private provider of aviation services, is considering the use of generative AI to optimize inventory management, provide predictive maintenance, improve warehouse operations and automate parts ordering. Create digital twins : Aircraft designers and MRO companies frequently create virtual models of products or systems.

Optimization 71

Optimization Testing Machine Learning Measurement 71

CIO Business Intelligence

JUNE 28, 2023

Belcorp operates under a direct sales model in 14 countries. As Belcorp considered the difficulties it faced, the R&D division noted it could significantly expedite time-to-market and increase productivity in its product development process if it could shorten the timeframes of the experimental and testing phases in the R&D labs.

Digital Transformation 99

Digital Transformation Cost-Benefit Informatics Data mining 99

CIO Business Intelligence

SEPTEMBER 7, 2023

That’s why, around the world, governments and the defense industry as a whole are now investing and exploring generative artificial intelligence (AI), or large language models (LLMs), to better understand what’s possible. The second challenge is managing new risks, which stem primarily from the threat of misinformation.

Unstructured Data 116

Unstructured Data Cost-Benefit Risk Data-driven 116

Cloudera

JUNE 13, 2023

Optimizing the bank’s Enterprise Big Data Platform ANZ Bank used Cloudera Data Platform (CDP) to develop their new strategic Enterprise Big Data (EBD) platform, an intelligent, data-driven, and agile blueprint to meet the needs of the bank’s customers and its partners.

Data-driven 77

Data-driven Analytics Insurance Digital Transformation 77

CIO Business Intelligence

JANUARY 9, 2024

That quote aptly describes what Dell Technologies and Intel are doing to help our enterprise customers quickly, effectively, and securely deploy generative AI and large language models (LLMs).Many We’re using our own databases, testing against our own needs, and building around specific problem sets.

Enterprise 117

Enterprise Experimentation Modeling Data-driven 117

IBM Big Data Hub

APRIL 18, 2024

While these large language model (LLM) technologies might seem like it sometimes, it’s important to understand that they are not the thinking machines promised by science fiction. Most experts categorize it as a powerful, but narrow AI model. A key trend is the adoption of multiple models in production.

Cost-Benefit 93

Cost-Benefit Modeling Manufacturing Interactive 93

Smart Data Collective

OCTOBER 8, 2021

Modern machine learning and back-testing; how quant hedge funds use it. Similarly, hedge funds often use modern machine learning and back-testing to analyze their quant models. Here, the models get tested using historical data to evaluate their profitability. Mathematical Model-based Strategies.

Machine Learning 114

Machine Learning Testing Strategy Modeling 114

CIO Business Intelligence

JULY 17, 2023

The Infrastructure-as-a-Service (IaaS) cloud computing model enables remote working, supports digital transformation, provides scale, increases resilience, and can reduce costs. Cloud infrastructure is especially sensitive, as many critical applications are at risk, such as customer-facing applications.

Management 98

Management Data Processing Risk Digital Transformation 98

DataRobot

OCTOBER 19, 2021

On average, DataRobot forecasts had a 21 percent lower rate of error than all other published competing models over a six to eight week period. At the time, much of the available data was limited and inaccurate as a result of forecasting based on traditional—and outdated— epidemiological modeling. reporting backlogs).

Forecasting 98

Forecasting Predictive Modeling Optimization Testing 98

Domino Data Lab

MARCH 3, 2021

It’s often stated that nothing changes inside an enterprise because you’ve built a model. In some cases, data science does generate models directly to revenue, such as a contextual deal engine that targets people with offers that they can instantly redeem. But what about good decisions?

Metrics 93

Metrics Modeling Sales Data Science 93

IBM Big Data Hub

OCTOBER 25, 2023

Hybrid cloud allows them to take advantage of powerful open-source large language models (LLMs), use public data and computing resources to train their own models and securely fine-tune their models while keeping their proprietary insights private. Start small, test and scale.

Cost-Benefit 86

Cost-Benefit ROI Modeling Testing 86