erwin

APRIL 2, 2021

Organizations are managing more data than ever. In fact, the global datasphere is projected to reach 175 zettabytes by 2025, according to IDC. With more companies increasingly migrating their data to the cloud to ensure availability and scalability, the risks associated with data management and protection also are growing.

Data Governance 106

Data Governance Cost-Benefit Risk Metadata 106

CIO Business Intelligence

FEBRUARY 12, 2024

All’orizzonte c’è un appuntamento cruciale: il Giubileo del 2025, quando a Roma sono attesi 50 milioni di visitatori. Su questa base si innesta il complesso progetto di trasformazione digitale su cui l’azienda ha accelerato il passo dallo scorso anno, con l’ingresso del nuovo direttore generale e, poco dopo, del nuovo CIO D’Accolti.

Digital Transformation 98

Digital Transformation Management Business Intelligence Internet of Things 98

CIO Business Intelligence

OCTOBER 18, 2023

Of roughly 2,500 CIOs surveyed recently by Gartner, 9% say they have already deployed gen AI applications, and a staggering 55% say they will deploy large language models (LLMs) in production by the end of 2025. First, we launched a private instance of GPT-3.5 for internal enterprise exploration.

Risk 141

Risk Manufacturing Enterprise Technology 141

Cloudera

AUGUST 28, 2020

5G and IoT are going to drive an explosion in data. In terms of the IoT, there will be 25 billion connected things and devices by 2025 ( Source: GSMA ), and these devices will be potentially streaming data every second of the day. .

IoT 112

IoT Machine Learning B2B Testing 112

CIO Business Intelligence

FEBRUARY 19, 2024

Un’altra novità che sta valutando, per la fine dell’anno o l’inizio del 2025, è il passaggio a una piattaforma evoluta di gestione della pratica elettronica di fido. “In Anzi, il team di Ridulfo segue tutta la rotta evolutiva del fornitore per gli applicativi bancari.

IT 98

IT KPI Data Lake Digital Transformation 98

Sisense

JANUARY 13, 2020

In Moving Parts , we explore the unique data and analytics challenges manufacturing companies face every day. The world of data in modern manufacturing. Manufacturing companies that adopted computerization years ago are already taking the next step as they transform into smart data-driven organizations.

Manufacturing 52

Manufacturing Data Lake Big Data Data Warehouse 52

Cloudera

NOVEMBER 17, 2022

HBL aims to double its banked customers by 2025. “ We needed a solution to manage our data at scale, to provide greater experiences to our customers. With Cloudera Data Platform, we aim to unlock value faster and offer consistent data security and governance to meet this goal.

Management 87

Management Data Lake Consulting Unstructured Data 87

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. As such, most large financial organizations have moved their data to a data lake or a data warehouse to understand and manage financial risk in one place.

Enterprise 52

Enterprise Knowledge Discovery Risk Data-driven 52

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 55

Data Warehouse Data Lake Unstructured Data Optimization 55

Cloudera

JANUARY 30, 2023

One estimate states that “ on average, people will produce 463 exabytes of data per day by 2025.” Some examples include employee records, internal and external communications, photo, video, and audio files, IoT sensor data, and streamed data. Now consider that the federal government has approximately 2.8

IoT 84

IoT Data Architecture Data Lake Machine Learning 84

CIO Business Intelligence

MAY 26, 2022

Companies don’t need to move all the data to a single platform, but there does need to be a way to bring in data from disparate data sources, she says, and this can vary based on application. Data lakes work well for companies doing a lot of analytics at high frequencies who are looking for low-cost storage, for example.

Machine Learning 145

Machine Learning Modeling Data-driven Enterprise 145

CIO Business Intelligence

MAY 28, 2022

Companies don’t need to move all the data to a single platform, but there does need to be a way to bring in data from disparate data sources, she says, and this can vary based on application. Data lakes work well for companies doing a lot of analytics at high frequencies who are looking for low-cost storage, for example.

Machine Learning 143

Machine Learning Modeling Data-driven Enterprise 143

CIO Business Intelligence

MAY 24, 2022

However, more than 99 percent of respondents said they would migrate data to the cloud over the next two years. The Internet of Things (IoT) is a huge contributor of data to this growing volume, iotaComm estimates there are 35 billion IoT devices worldwide and that in 2025 all IoT devices combined will generate 79.4

Data-driven 98

Data-driven Data Lake Data Warehouse Cost-Benefit 98

CIO Business Intelligence

FEBRUARY 22, 2024

Amy Cravens, research manager for GRC and ESG at analyst firm IDC, anticipates significant market growth in 2024 and 2025 “as companies prepare for regulatory requirements and perhaps suffer ramifications of compliance failures resulting from insufficient tech enablement.”

Software 98

Software Reporting KPI Enterprise 98

Cloudera

NOVEMBER 18, 2021

By adopting a custom developed application based on the Cloudera ecosystem, Carrefour has combined the legacy systems into one platform which provides access to customer data in a single data lake.

Data Lake 78

Data Lake Cost-Benefit Digital Transformation Risk 78

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

CIO Business Intelligence

DECEMBER 21, 2022

Every day, organizations of every description are deluged with data from a variety of sources, and attempting to make sense of it all can be overwhelming. By 2025, it’s estimated we’ll have 463 million terabytes of data created every day,” says Lisa Thee, data for good sector lead at Launch Consulting Group in Seattle.

IT 131

IT Business Intelligence Sales Key Performance Indicator 131

Cloudera

SEPTEMBER 12, 2022

It sounds straightforward: you just need data and the means to analyze it. The data is there, in spades. Data volumes have been growing for years and are predicted to reach 175 ZB by 2025. First, organizations have a tough time getting their arms around their data. Yes and no.

Unstructured Data 76

Unstructured Data Data Architecture Data Lake Snapshot 76

BizAcuity

MAY 10, 2022

Google launches BigQuery, its own data warehousing tool and Microsoft introduces Azure SQL Data Warehouse and Azure Data Lake Store. billion by 2025. Data management solutions will need to keep up with the data demands of the next few years. More on Kubernetes soon.

Data-driven 52

Data-driven IoT Unstructured Data Data Lake 52

CIO Business Intelligence

MARCH 20, 2023

By fiscal 2025, Callaway projects Topgolf will account for 46% of its revenue mix, with golf equipment at 27% and apparel, gear, and other lines of business providing 27% as well. Replatforming, data mining, building our data lakes to just clean the data, because back in those days it was so many systems, the data was not consistent.

Digital Transformation 98

Digital Transformation Broadcasting Recreation/Entertainment Manufacturing 98

CIO Business Intelligence

MARCH 22, 2022

Data about customers, supply chains, the economy, market trends, and competitors must be aggregated and cross-correlated from myriad sources. . But the sheer volume of the world’s data is expected to nearly triple between 2020 and 2025 to a whopping 180 zettabytes. This is where artificial intelligence (AI) comes in.

Analytics 115

Analytics Key Performance Indicator Data Warehouse Data-driven 115

IBM Big Data Hub

OCTOBER 12, 2023

AI-optimized data stores enable cost-effective AI workload scalability AI models rely on secure access to trustworthy data, but organizations seeking to deploy and scale these models face an increasingly large and complicated data landscape.

Cost-Benefit 82

Cost-Benefit Metadata Data Governance Modeling 82

CIO Business Intelligence

APRIL 6, 2022

Improved connectivity, including increased availability of 5G capabilities, coupled with cost-effective edge processing power, is driving the deluge of data that exists outside centralized repositories and traditional data centers. According to IDC estimates , there will be 55.7 over 2021.

Data Strategy 52

Data Strategy Strategy Internet of Things Data Warehouse 52

erwin

JANUARY 10, 2024

Your goal should be enterprise data management and an analytics function that pays for itself, like a self-funding data warehouse, data lake or data mesh. What is data monetization? Mind you, this is not just about selling data. With time, the effort should be self-funding.

Measurement 59

Measurement Cost-Benefit Data Governance Management 59

Cloudera

MAY 3, 2021

trillion in value by 2025.”, They no longer need to ask a small subset of the organization to provide them with information, rather, they have tooling, systems, and capabilities to get the data they need. Data democratization directly contributes to optimized agility and, if built properly, scalability. Why is this?

Cost-Benefit 103

Cost-Benefit Digital Transformation Data Lake Enterprise 103

Andrew White

JANUARY 11, 2021

See Roadmap for Data Literacy and Data-Driven Business Transformation: A Gartner Trend Insight Report and also The Future of Data and Analytics: Reengineering the Decision, 2025. measuring value, prioritizing (where to start), and data literacy? Data lakes don’t offer this nor should they.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52