Cloudera

JANUARY 27, 2022

Insurers are increasingly adopting data from smart devices and related technologies to support and service their customers better. billion units by 2025, a huge jump from the 13.8 Data Ecosystems Surrounding Insurance. According to Statista , the projected installed base of IOT devices is expected to increase to 30.9

Insurance 81

Insurance IoT Risk Data Processing 81

Ontotext

MARCH 8, 2023

Gartner predicts that graph technologies will be used in 80% of data and analytics innovations by 2025, up from 10% in 2021. Use Case #4: Financial Risk Detection and Prediction The financial industry is made up of a network of markets and transactions. Which financial institutions have filed similar risk compliance issues?

Enterprise 52

Enterprise Knowledge Discovery Risk Data-driven 52

Alation

MAY 10, 2022

At the risk of repeating everyone who has recently written anything, these past few years have been difficult, to say the least. The global business intelligence (BI) market is expected to grow to $33 billion by 2025. The global data catalog market is expected to grow by nearly 24% per year to hit $2.3 billion by 2027.

Marketing 52

Marketing Digital Transformation Data Processing Business Intelligence 52

BizAcuity

APRIL 14, 2022

Big data paved the way for organizations to get better at what they do. Data management and analytics are a part of a massive, almost unseen ecosystem which lets you leverage data for valuable insights. Such is the significance of big data in today’s world. Most of these are accumulated in data silos or data lakes.

Big Data 52

Big Data Data Analytics Management Unstructured Data 52

IBM Big Data Hub

OCTOBER 12, 2023

Accounting for the complexities of the AI lifecycle Unfortunately, typical data storage and data governance tools fall short in the AI arena when it comes to helping an organization perform the tasks that underline efficient and responsible AI lifecycle management. And that makes sense.

Cost-Benefit 79

Cost-Benefit Metadata Data Governance Modeling 79

Alation

NOVEMBER 16, 2021

Data Governance is growing essential. Data growth, shrinking talent pool, data silos – legacy & modern, hybrid & cloud, and multiple tools – add to their challenges. Data growth, shrinking talent pool, data silos – legacy & modern, hybrid & cloud, and multiple tools – add to their challenges.

Data Governance 52

Data Governance Insurance Risk Data-driven 52

Cloudera

NOVEMBER 18, 2021

As a bank that understands the future of financial services as data-driven, Bank of the West chose to adopt the Cloudera platform as the linchpin of its digital transformation. In doing so, Bank of the West has modernized and centralized its Big Data platform in just one year. Data for Good. Industry Transformation.

Data Lake 74

Data Lake Cost-Benefit Digital Transformation Risk 74

IBM Big Data Hub

OCTOBER 20, 2023

.” When observing its potential impact within industry, McKinsey Global Institute estimates that in just the manufacturing sector, emerging technologies that use AI will by 2025 add as much as USD 3.7 Lack of AI governance can lead to consequences such as inefficiency, financial penalties and significant damage to brand reputation.

Machine Learning 75

Machine Learning Manufacturing Cost-Benefit Deep Learning 75

AWS Big Data

APRIL 19, 2023

Every day, customers are challenged with how to manage their growing data volumes and operational costs to unlock the value of data for timely insights and innovation, while maintaining consistent performance. As data workloads grow, costs to scale and manage data usage with the right governance typically increase as well.

Data Warehouse 56

Data Warehouse Data Lake Unstructured Data Optimization 56

Sisense

OCTOBER 14, 2020

You know data is growing quickly every day, but did you know that 90% of all existing data has been generated in the last two years alone, and it’s anticipated that the global datasphere will expand from about 44 zettabytes (ZB) in 2020 to 175 ZB by 2025 ? Data teams can even help save lives.

Data-driven 98

Data-driven Machine Learning Dashboards Sales 98

CIO Business Intelligence

OCTOBER 1, 2022

Industry experts are projecting that 50 billion devices will be connected worldwide this year, with the amount of data being generated at the edge slated to increase by over 500% between 2019 and 2025, amounting to a whopping 175 zettabytes worldwide. The HPE GreenLake Advantage.

Cost-Benefit 115

Cost-Benefit Enterprise Optimization Manufacturing 115

Alation

AUGUST 17, 2021

The Alation Data Catalog is built as a platform, unifying disparate data into a singular view. The Alation Data Catalog enables you to leverage the Data Cloud to boost analyst productivity, accelerate migration, and minimize risk through active data governance. Empower Anyone to Find Trusted Data.

Data Governance 52

Data Governance Cost-Benefit Enterprise Metadata 52

Alation

JULY 6, 2021

Common Data Governance Challenges. Every enterprise runs into data governance challenges eventually. Issues like data visibility, quality, and security are common and complex. Data governance is often introduced as a potential solution. And one enterprise alone can generate a world of data.

Data Governance 52

Data Governance Metadata Data Quality Risk 52

CIO Business Intelligence

MARCH 8, 2023

Industry experts are projecting that 50 billion devices will be connected worldwide this year, with the amount of data being generated at the edge slated to increase by over 500% between 2019 and 2025, amounting to a whopping 175 zettabytes worldwide.

Enterprise 52

Enterprise Cost-Benefit Optimization Manufacturing 52

erwin

JANUARY 10, 2024

Examples include open data, syndicated data, web content, harvested web content and social media. Many organizations monetize their data indirectly. Their internal data monetization efforts include improving process performance, reducing risk, improving partner relationships and developing new products and markets.

Measurement 59

Measurement Cost-Benefit Data Governance Management 59

Andrew White

JANUARY 11, 2021

But we also know not all data is equal, and not all data is equally valuable. Some data is more a risk than valuable. Additionally, the value of data may change, and our own personal judgement of the the same data and its value may differ. Governance. Would really like to explore this one in debate.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52