Alation

FEBRUARY 13, 2020

Human Curation + Machine Learning. The way Herschel, Fry, and Zimmerman talked about AI in many respects reflects our vision for machine learning data catalogs. What’s more, Zaidi and Gartner believe that this vision of a machine-learning-enabled data catalog creates real value for enterprises.

Machine Learning 52

Machine Learning Data Analytics Analytics Metadata 52

Cloudera

MARCH 3, 2022

Whether the enterprise uses dozens or hundreds of data sources for multi-function analytics, all organizations can run into data governance issues. Bad data governance practices lead to data breaches, lawsuits, and regulatory fines — and no enterprise is immune. . Everyone Fails Data Governance.

Data Governance 96

Data Governance Enterprise Data Quality Metadata 96

Alation

APRIL 25, 2023

As firms mature their transformation efforts, applying Artificial Intelligence (AI), machine learning (ML) and Natural Language Processing (NLP) to the data is key to putting it into action quickly and effecitvely. Using bad data, or the incorrect data can generate devastating results. between 2022 and 2029.

Data Governance 40

Data Governance Marketing Machine Learning Sales 40

Cloudera

DECEMBER 20, 2022

McKinsey estimates that the use of data-driven technologies can drive operating and maintenance cost savings of more than 12%. For example, predictive maintenance, based on machine learning, will enable utility companies to take preventative action that avoids large-scale power outages and costs.

Optimization 81

Optimization Data Analytics Analytics Cost-Benefit 81

Peter James Thomas

AUGUST 4, 2020

As usual, the new definitions range across the data arena: from Data Science and Machine Learning; to Information and Reporting; to Data Governance and Controls. Analytical Repository. Boosting [Machine Learning]. Conformed Data (Conformed Dimension). Data Capability.

Data Analytics 98

Data Analytics Analytics Machine Learning Data Governance 98

O'Reilly on Data

FEBRUARY 11, 2019

Highlights and use cases from companies that are building the technologies needed to sustain their use of analytics and machine learning. In a forthcoming survey, “Evolving Data Infrastructure,” we found strong interest in machine learning (ML) among respondents across geographic regions. Deep Learning.

Big Data 209

Big Data Technology Machine Learning Deep Learning 209

Sanjeev Mohan

FEBRUARY 6, 2019

Is Google Cloud Platform Ready to Run Your Data Analytics Pipeline? I saw the winds change and the inquiry requests shifted towards advanced analytics involving machine learning (ML) questions. I ended up writing two documents on data governance. So, why did I decide to write on this topic?

Data Analytics 49

Data Analytics Analytics Data Governance Experimentation 49

Laminar Security

DECEMBER 13, 2023

Data discovery and classification play a pivotal role in decision-making processes within organizations. In the traditional approach, data discovery was a time-consuming and labor-intensive process. However, the advent of AI and machine learning (ML) has revolutionized this process.

Data-driven 119

Data-driven Machine Learning Risk Deep Learning 119

Data Virtualization

NOVEMBER 25, 2020

In recent years, we have seen wide adoption of data analytics. Some issues that have been most often cited for this include: Poor data quality: While preparing. However, most organizations continue to find it challenging to quickly yield actionable insights.

Data Analytics 52

Data Analytics Analytics Data Quality Digital Transformation 52

Cloudera

SEPTEMBER 29, 2021

Among the use cases for the government organizations that we are working on is one which leverages machine learning to detect fraud in payment systems nationwide. Through processing vast amounts of structured and semi-structured data, AI and machine learning enabled effective fraud prevention in real-time on a national scale. .

Digital Transformation 79

Digital Transformation Data Governance Data-driven Uncertainty 79

CIO Business Intelligence

DECEMBER 11, 2023

Digital solutions to implement generative AI in healthcare EXL, a leading data analytics and digital solutions company , has developed an AI platform that combines foundational generative AI models with our expertise in data engineering, AI solutions, and proprietary data sets. These include our core solutions EXELIA.AI™

Unstructured Data 75

Unstructured Data Interactive Data-driven Consulting 75

CIO Business Intelligence

OCTOBER 24, 2023

Business drivers for the first wave of digital transformation through 2020 targeted growth, data capabilities, cloud migration, and delivering competitive technology capabilities. With generative AI now a firm digital transformation priority , 2023-24 will mark the beginning of an AI-driven transformation era.

Digital Transformation 145

Digital Transformation Data-driven Business Objectives Strategy 145

Alation

AUGUST 30, 2022

we are introducing Alation Anywhere, extending data intelligence directly to the tools in your modern data stack, starting with Tableau. We continue to make deep investments in governance, including new capabilities in the Stewardship Workbench, a core part of the Data Governance App. Data governance at scale.

Metadata 52

Metadata Data Quality Data Governance Machine Learning 52

IBM Big Data Hub

OCTOBER 30, 2023

IBM, a pioneer in data analytics and AI, offers watsonx.data, among other technologies, that makes possible to seamlessly access and ingest massive sets of structured and unstructured data. The platform provides an intelligent, self-service data ecosystem that enhances data governance, quality and usability.

Insurance 86

Insurance Data Warehouse Data-driven Unstructured Data 86

Smart Data Collective

MAY 20, 2019

Machine Learning Experience is a Must. By 2020, over 40 percent of all data science tasks will be automated. Machine learning technology and its growing capability is a huge driver of that automation. It’s important to build a solid CV by working with businesses and teams that fit a specialization, so choose one.

Analytics 111

Analytics Machine Learning Business Intelligence Big Data 111

CIO Business Intelligence

NOVEMBER 21, 2023

These efforts include the integration of machine learning algorithms and other AI-based solutions to enhance data processing, analysis, and utilization. Establishing a robust data governance framework to ensure the ethical and responsible use of AI-powered technologies.

Strategy 119

Strategy Machine Learning Technology Data-driven 119

Cloudera

MAY 18, 2022

By leveraging data, analytics, and automation, a company can gain a better understanding of where it is and where it needs to go. That means developing scenarios in which AI can boost efficiency, productivity, and process optimization through AI-enabled data analytics and automation. . Address data management .

Cost-Benefit 92

Cost-Benefit Strategy Manufacturing Optimization 92

TDAN

JANUARY 3, 2024

As GenAI ascends in priority for CIOs, CDOs, and business leaders, 2023 has placed data and analytics in the spotlight. The hidden challenge is that entities lagging in data industrialization find themselves trailing in business transformation. GenAI and machine learning are touted to address myriad problems.

Analytics 52

Analytics Machine Learning Data Governance Business Intelligence 52

Cloudera

NOVEMBER 1, 2022

In the private sector, excluding highly regulated industries like financial services, the migration to the public cloud was the answer to most IT modernization woes, especially those around data, analytics, and storage. Learn more about CDP Private Cloud here.

Cost-Benefit 85

Cost-Benefit Data Architecture Risk IoT 85

erwin

JUNE 11, 2020

Transforming Industries with Data Intelligence. Data intelligence has provided useful and insightful information to numerous markets and industries. With tools such as Artificial Intelligence, Machine Learning, and Data Mining, businesses and organizations can collate and analyze large amounts of data reliably and more efficiently.

Key Performance Indicator 103

Key Performance Indicator KPI Data-driven Machine Learning 103

IBM Big Data Hub

APRIL 25, 2023

Relational databases were adapted to accommodate the demands of new workloads, such as the data engineering tasks associated with structured and semi-structured data, and for building machine learning models. Returning to the analogy, there have been significant changes to how we power cars.

Optimization 57

Optimization Strategy Data Warehouse Cost-Benefit 57

IBM Big Data Hub

DECEMBER 16, 2022

In other words, a data catalog makes the use of data for insights generation far more efficient across the organization, while helping mitigate risks of regulatory violations. Because Alex can use a data catalog to search all data assets across the company, she has access to the most relevant and up-to-date information.

Metadata 52

Metadata Data Quality Data-driven Data Governance 52

Cloudera

MAY 12, 2021

Use cases could include but are not limited to: predictive maintenance, log data pipeline optimization, connected vehicles, industrial IoT, fraud detection, patient monitoring, network monitoring, and more. DATA FOR ENTERPRISE AI.

Digital Transformation 66

Digital Transformation Machine Learning Optimization Data Lake 66

CIO Business Intelligence

JUNE 30, 2023

All of this renewed attention on data and AI, however, brings greater potential risks for those companies that have less advanced data strategies. As these trends continue to evolve, building your data strategy around the principles of openness and governance assures trust in the data.

Internet of Things 104

Internet of Things Strategy Risk Data Strategy 104

AWS Big Data

APRIL 24, 2023

Building a data lake on Amazon Simple Storage Service (Amazon S3) provides numerous benefits for an organization. You get the flexibility to choose the table and file format best suited for your use case and get the benefit of centralized data governance to secure data access when using Athena.

Data Lake 78

Data Lake Data Governance Cost-Benefit Machine Learning 78

Dataiku

MAY 1, 2019

Medicine is always evolving, but healthcare as an industry struggles to incorporate data analytics into their workflows.

Analytics 81

Analytics Machine Learning Data Analytics Data Governance 81

CIO Business Intelligence

MARCH 29, 2022

It isn’t practical to save all your data, but it is important to realize data may be valuable for other projects. You lose that add-on value when you throw data away. . This type of data waste results in missing out on the second project advantage. Making better use of your exercise equipment, however, is still up to you.

Cost-Benefit 52

Cost-Benefit Machine Learning Metadata Data Quality 52

CIO Business Intelligence

DECEMBER 28, 2022

With each new generation of the sophisticated applications companies have come to depend on—applications, such as machine learning and data analytics—compute requirements soar to new heights. Data Governance, Green IT, IT Governance. That could be the right decision.

Reporting 119

Reporting Consulting Manufacturing Software 119

David Menninger's Analyst Perspectives

NOVEMBER 30, 2021

TIBCO is a large, independent cloud-computing and data analytics software company that offers integration, analytics, business intelligence and events processing software. It enables organizations to analyze streaming data in real time and provides the capability to automate analytics processes.

Analytics 160

Analytics Data Warehouse Business Intelligence Software 160

David Menninger's Analyst Perspectives

APRIL 8, 2021

The goal is to understand how to manage the growing volume of data in real time, across all sources and platforms, and use it to inform, streamline and transform internal operations. However, cloud adoption means living with a mix of on-premises and multiple cloud-based systems in a hybrid computing environment.

Management 215

Management Digital Transformation Business Intelligence Internet of Things 215

IBM Big Data Hub

APRIL 6, 2023

This new regulation applies to any “automated employment tool;” so, any computational process derived from machine learning, statistical modeling, data analytics, or artificial intelligence, including homegrown and third-party programs.

Cost-Benefit 57

Cost-Benefit Risk Statistics Machine Learning 57

AWS Big Data

MAY 17, 2023

Wang also says Peloton is considering supporting specific personas for those who need analytics around financial information governed by securities regulations, and another for users who need to perform analytics on data governed by regulations around personally identifiable information (PII).

Data Warehouse 109

Data Warehouse Cost-Benefit Sales Data-driven 109

AWS Big Data

MARCH 27, 2024

The solution uses AWS services such as AWS HealthLake , Amazon Redshift , Amazon Kinesis Data Streams , and AWS Lake Formation to build a 360 view of patients. With zero-ETL features for data integration on AWS, it is effortless to build a view of patients securely, cost-effectively, and with minimal effort.

Data Analytics 89

Data Analytics Analytics Data Warehouse Data Lake 89

DataKitchen

APRIL 13, 2021

We have also included vendors for the specific use cases of ModelOps, MLOps, DataGovOps and DataSecOps which apply DataOps principles to machine learning, AI, data governance, and data security operations. . Dagster / ElementL — A data orchestrator for machine learning, analytics, and ETL. .

Testing 307

Testing Machine Learning Consulting Data Quality 307

Alation

MARCH 21, 2023

Why is data analytics important for travel organizations? With data analytics , travel organizations can gain real-time insights about customers to make strategic decisions and improve their travel experience. What are common data challenges for the travel industry? Travel can be stressful and emotionally fraught.

Data Analytics 52

Data Analytics Analytics Data-driven Big Data 52

CIO Business Intelligence

JANUARY 22, 2024

An enormous amount of data is required to power generative AI applications and—unlike static algorithmic models and earlier versions of AI—these models require real-time data from numerous business functions to unlock their full value. To learn more, visit us here. Artificial Intelligence

Data Governance 52

Data Governance Enterprise Statistics Modeling 52

Hurwitz & Associates

JUNE 28, 2018

Not easily, but the work can be approached via better software tools, better business-wide data policies and IT best practices for data protection and analytics. CDOs plan to leverage AI and machine learning algorithms to mine large data-stores more effectively and efficiently. The Role of Best Practices.

Insurance 40

Insurance Data Lake Machine Learning Enterprise 40