Cloudera

AUGUST 4, 2021

In fact, McKinsey points to a 50% reduction in downtime and a 40% reduction in maintenance costs when using IoT and data analytics to predict and prevent breakdowns. The use of Cloudera Enterprise enables staff to focus on aviation and business challenges instead of worrying about monitoring the cluster or platform upgrades.

IoT 98

IoT Unstructured Data Machine Learning Predictive Modeling 98

FineReport

APRIL 26, 2023

With the right Big Data Tools and techniques, organizations can leverage Big Data to gain valuable insights that can inform business decisions and drive growth. What is Big Data? What is Big Data? It is an ever-expanding collection of diverse and complex data that is growing exponentially.

Big Data 52

Big Data Data Analytics Analytics Cost-Benefit 52

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

Cloudera

FEBRUARY 8, 2021

In addition, moving outside the vehicle, existing fragmented approaches for data management associated with the machine learning lifecycle are limiting the ability to deploy new use cases at scale. The vehicle-to-cloud solution driving advanced use cases.

Machine Learning 105

Machine Learning Manufacturing Unstructured Data Modeling 105

CIO Business Intelligence

NOVEMBER 28, 2023

Making the most of enterprise data is a top concern for IT leaders today. With organizations seeking to become more data-driven with business decisions, IT leaders must devise data strategies gear toward creating value from data no matter where — or in what form — it resides.

Unstructured Data 130

Unstructured Data Data-driven Visualization Data Quality 130

IBM Big Data Hub

FEBRUARY 14, 2024

Using machine learning (ML), AI can understand what customers are saying as well as their tone—and can direct them to customer service agents when needed. To help eliminate tool sprawl, an enterprise-grade AIOps platform can provide a holistic view of IT operations on a central pane of glass for monitoring and management.

Cost-Benefit 88

Cost-Benefit Insurance Unstructured Data Machine Learning 88

Cloudera

JANUARY 5, 2021

Including new data sources like demand signals (e.g. Encompassing internal product flow data (which is controlled), but also influencers (that are semi-controlled) provide new challenges, but also more insight into business capabilities delivered through an enterprise data platform approach.

Forecasting 90

Forecasting Cost-Benefit Sales Unstructured Data 90

Cloudera

JUNE 7, 2022

In the past decade, the amount of structured data created, captured, copied, and consumed globally has grown from less than 1 ZB in 2011 to nearly 14 ZB in 2020. Impressive, but dwarfed by the amount of unstructured data, cloud data, and machine data – another 50 ZB.

IT 106

IT Data Architecture Unstructured Data Big Data 106

AWS Big Data

OCTOBER 25, 2023

Unstructured data is information that doesn’t conform to a predefined schema or isn’t organized according to a preset data model. Unstructured information may have a little or a lot of structure but in ways that are unexpected or inconsistent. Text, images, audio, and videos are common examples of unstructured data.

Unstructured Data 117

Unstructured Data Metadata Management Analytics 117

CIO Business Intelligence

AUGUST 9, 2022

Data engineers are responsible for developing, testing, and maintaining data pipelines and data architectures. Data scientists use data science to discover insights from massive amounts of structured and unstructured data to shape or meet specific business needs and goals.

Analytics 131

Analytics Data Science Statistics Unstructured Data 131

CIO Business Intelligence

JUNE 23, 2022

In the past decade, the amount of structured data created, captured, copied, and consumed globally has grown from less than 1 ZB in 2011 to nearly 14 ZB in 2020. Impressive, but dwarfed by the amount of unstructured data, cloud data, and machine data – another 50 ZB. The future is hybrid data, embrace it.

IT 97

IT Data Architecture Unstructured Data Big Data 97

bridgei2i

MARCH 9, 2021

A top AI data company will have clients from all industries. Their AI-powered data solutions can transform the way any business uses its data. For instance, an AI-powered data analytics company can help sellers of consumer goods better understand their customers. on consumer data. Free-Time for Employees.

Technology 52

Technology Unstructured Data Insurance Sales 52

Smart Data Collective

SEPTEMBER 26, 2019

Unstructured. Unstructured data lacks a specific format or structure. As a result, processing and analyzing unstructured data is super-difficult and time-consuming. Semi-structured data contains a mixture of both structured and unstructured data. Semi-structured. Improving Efficiency.

Big Data 79

Big Data Software Unstructured Data Data Integration 79

Jet Global

NOVEMBER 5, 2020

Ostensibly, the new product represents Microsoft’s transition to a newer, more cloud-friendly ERP for midsized enterprises. Data lakes are not a mature technology. They are designed for enormous volumes of information, including semi-structured and unstructured data. Data lakes move that step to the end of the process.

Data Lake 98

Data Lake OLAP Data Warehouse Unstructured Data 98

Ontotext

DECEMBER 16, 2020

In its third generation, Ontotext Platform enables organizations to build, use and evolve knowledge graphs as a hub for data, metadata and content. All our products and solutions are based on the value of enterprise knowledge graphs and their capacity to manage knowledge, and not data, when they become the infrastructure within organizations.

Metadata 52

Metadata Unstructured Data Visualization Enterprise 52

Alation

FEBRUARY 13, 2020

Faces light up when we describe how Alation helps enterprises find, understand, trust, use and reuse data. At some level, every enterprise is struggling to connect data to decision-making. There is plenty of market validation for the value of data catalogs.

ROI 52

ROI Cost-Benefit Unstructured Data Data Lake 52

AWS Big Data

MARCH 25, 2024

Foundation models (FMs) are large machine learning (ML) models trained on a broad spectrum of unlabeled and generalized datasets. This data store provides your organization with the holistic customer records view that is needed for operational efficiency of RAG-based generative AI applications. versions).

Data Lake 88

Data Lake Unstructured Data Management Modeling 88

CIO Business Intelligence

SEPTEMBER 2, 2022

The US financial services industry has fully embraced a move to the cloud, driving a demand for tech skills such as AWS and automation, as well as Python for data analytics, Java for developing consumer-facing apps, and SQL for database work. Other sought-after skills include Python, R, JavaScript, C++, Apache Spark, and Hadoop. .

Finance 98

Finance IT Software Reporting 98

CIO Business Intelligence

AUGUST 31, 2022

The US financial services industry has fully embraced a move to the cloud, driving a demand for tech skills such as AWS and automation, as well as Python for data analytics, Java for developing consumer-facing apps, and SQL for database work. Other sought-after skills include Python, R, JavaScript, C++, Apache Spark, and Hadoop. .

Finance 98

Finance IT Software Reporting 98

IBM Big Data Hub

DECEMBER 16, 2022

An enterprise data catalog does all that a library inventory system does – namely streamlining data discovery and access across data sources – and a lot more. For example, data catalogs have evolved to deliver governance capabilities like managing data quality and data privacy and compliance.

Metadata 52

Metadata Data Quality Data-driven Data Governance 52

CIO Business Intelligence

MARCH 29, 2022

Organizations may acquire a lot of data, but they aren’t getting much value from it. It is estimated that nearly 75% of the data that enterprises collect remains unused, and thus, the value is not realized. It isn’t practical to save all your data, but it is important to realize data may be valuable for other projects.

Cost-Benefit 52

Cost-Benefit Machine Learning Metadata Data Quality 52

Sisense

MARCH 14, 2021

However, when investigating big data from the perspective of computer science research, we happily discover much clearer use of this cluster of confusing concepts. As we move from right to left in the diagram, from big data to BI, we notice that unstructured data transforms into structured data.

Big Data 52

Big Data IoT Data Warehouse Data-driven 52

Ontotext

NOVEMBER 22, 2020

Ontotext’s extensive experience of bringing enterprise-level to national and global brands understands this and has for over a decade strived to make the power of semantic technology accessible. From packaging and deployment to monitoring tools and report generations, the Platform has everything an enterprise needs.

Metadata 72

Metadata Cost-Benefit Unstructured Data Technology 72

Sisense

MARCH 26, 2021

Companies surveyed by Harvard Business Review Analytic Services (HBR) report that two of the most important strategic benefits of using data analytics are (1) identifying new revenue and business models and (2) becoming more innovative. 39% of companies want to identify new revenue and business opportunities with data analytics.

Analytics 98

Analytics Data-driven Dashboards Experimentation 98

AWS Big Data

MARCH 2, 2023

Many organizations are building data lakes to store and analyze large volumes of structured, semi-structured, and unstructured data. In addition, many teams are moving towards a data mesh architecture, which requires them to expose their data sets as easily consumable data products.

Data Lake 74

Data Lake Testing Interactive Unstructured Data 74

Cloudera

OCTOBER 5, 2023

However, many organizations have data silos, for instance when each department’s data is historically stored in disparate locations. Additionally, structured and unstructured data is often separate. By eliminating data silos, your data insights enable smarter and more accurate business decisions.

Data-driven 79

Data-driven Enterprise Data Governance Unstructured Data 79

DataKitchen

APRIL 13, 2021

This is not surprising given that DataOps enables enterprise data teams to generate significant business value from their data. DataOps needs a directed graph-based workflow that contains all the data access, integration, model and visualization steps in the data analytic production process.

Testing 307

Testing Machine Learning Consulting Data Quality 307

Cloudera

OCTOBER 29, 2020

With the massive explosion of data across the enterprise — both structured and unstructured from existing sources and new innovations such as streaming and IoT — businesses have needed to find creative ways of managing their increasingly complex data lifecycle to speed time to insight.

Visualization 105

Visualization Machine Learning Dashboards Data Warehouse 105

CIO Business Intelligence

JUNE 29, 2022

And as businesses contend with increasingly large amounts of data, the cloud is fast becoming the logical place where analytics work gets done. For many enterprises, Microsoft Azure has become a central hub for analytics. The reason Azure has so many analytics services is so you can build your entire stack there.

Data Lake 116

Data Lake Analytics Data Warehouse Machine Learning 116

CIO Business Intelligence

NOVEMBER 25, 2022

Carhartt’s signature workwear is near ubiquitous, and its continuing presence on factory floors and at skate parks alike is fueled in part thanks to an ongoing digital transformation that is advancing the 133-year-old Midwest company’s operations to make the most of advanced digital technologies, including the cloud, data analytics, and AI.

Data Lake 128

Data Lake Data Warehouse Unstructured Data Data Architecture 128

CIO Business Intelligence

MARCH 9, 2022

Applying artificial intelligence (AI) to data analytics for deeper, better insights and automation is a growing enterprise IT priority. But the data repository options that have been around for a while tend to fall short in their ability to serve as the foundation for big data analytics powered by AI.

Data Lake 119

Data Lake Unstructured Data Data Warehouse Data Quality 119

Cloudera

JULY 29, 2022

Is yours among the organizations hoping to cash in big with a big data solution? Organizations have good reason to believe that adopting data analytics tools and hiring data professionals will allow them to extract the full value of their data. Read on to be sure you set yourself up for success. .

Data Architecture 83

Data Architecture Data Strategy Risk Management Strategy 83

CIO Business Intelligence

MAY 24, 2022

Organisations have to contend with legacy data and increasing volumes of data spread across multiple silos. To meet these demands many IT teams find themselves being systems integrators, having to find ways to access and manipulate large volumes of data for multiple business functions and use cases.

Data-driven 98

Data-driven Data Lake Data Warehouse Cost-Benefit 98

BizAcuity

MAY 10, 2022

Cloud technology and innovation drives data-driven decision making culture in any organization. It is no surprise that almost all large enterprises and SMEs have shifted a part of their operations to the cloud. IBM had introduced the concept of Virtual Machines (VMs) almost a decade before the birth of the internet.

Data-driven 52

Data-driven IoT Unstructured Data Data Lake 52

IBM Big Data Hub

MAY 9, 2023

IBM today announced it is launching IBM watsonx.data , a data store built on an open lakehouse architecture, to help enterprises easily unify and govern their structured and unstructured data, wherever it resides, for high-performance AI and analytics.

Data Warehouse 79

Data Warehouse Cost-Benefit Recreation/Entertainment Unstructured Data 79

bridgei2i

FEBRUARY 28, 2020

The firm has a new personal finance app Mimo, which uses open-banking application programming interfaces, artificial intelligence (AI) and data analytics to create a social feed that helps customers manager their money.”. Credit decisions: Credit scoring was one of the earliest applications of Analytics as we knew it earlier.

Risk Management 78

Risk Management Unstructured Data Machine Learning Digital Transformation 78

IBM Big Data Hub

NOVEMBER 10, 2023

The introduction of Generative AI offers to take this solution pattern a notch further, particularly with its ability to better handle unstructured data. This has also led to a proliferation of point solutions in the market, pushing the boundaries of innovation.

Cost-Benefit 104

Cost-Benefit Insurance Consulting Unstructured Data 104