CIO

APRIL 26, 2024

billion acquisition of data and analytics company Neustar in 2021, TransUnion has expanded into other services such as marketing, fraud detection and prevention, and robust analytical services. At the core of its strategy is the mountain of data that TransUnion has acquired — along with more than 25 companies — over decades.

Artificial Inteligence 252

Artificial Inteligence Generative AI Machine Learning Analytics 252

TechCrunch

JANUARY 24, 2023

In the enterprise, there’s been an explosive growth of data — think documents, videos, audio files, posts on social media and even emails. According to a Matillion and IDG survey, data volumes are growing by 63% per month in some organizations — and data’s coming from an increasing number of places.

Company 203

Company Data Storage Backup 203

CIO

OCTOBER 25, 2022

Data & Analytics is delivering on its promise. Every day, it helps countless organizations do everything from measure their ESG impact to create new streams of revenue, and consequently, companies without strong data cultures or concrete plans to build one are feeling the pressure. We discourage that thinking.

Strategy 358

Strategy Data Culture IoT 358

CIO

APRIL 25, 2024

This strategy alone — achieved with the DIY approach — was responsible for saving $300,000 when his team dug into expenses surrounding Google Cloud Platform log storage, resulting in his team moving the logs to a lower tier of cloud storage and rightsizing the data they retain to adhere to retention requirements.

Tools 291

Tools Cloud AWS Off-The-Shelf 291

CIO

JANUARY 9, 2023

1] In each case, the company has volumes of streaming data and needs a way to quickly analyze it for outcomes such as greater asset availability, improved site safety and enhanced sustainability. In each case, they are taking strategic advantage of data generated at the edge, using artificial intelligence and cloud architecture.

IoT 316

IoT Technical Review Company Data 316

CIO

JUNE 9, 2023

Such is the case with a data management strategy. That gap is becoming increasingly apparent because of artificial intelligence’s (AI) dependence on effective data management. For many organizations, the real challenge is quantifying the ROI benefits of data management in terms of dollars and cents. The second best time is now.”

Strategy 283

Strategy Data Transportation Exercises 283

The Crazy Programmer

MAY 12, 2021

Companies everywhere are handling more data than ever and all these terabytes of data need to be stored somewhere. Should you store the data in a database, a data warehouse, or a data lake? Choosing the right data storage solution will depend greatly on how the data is going to be used.

Data 162

Data Healthcare IoT Pharmaceuticals 162

TechCrunch

MAY 19, 2021

German battery analytics software company Twaice has been taking aim at this problem since its founding in 2018, and it announced Wednesday that it has raised $26 million in Series B funding led by Chicago-based Energize Ventures. Twaice also offers solutions before the battery even enters the vehicle or energy storage system.

Analytics 155

Analytics Software Energy Storage 155

CIO

FEBRUARY 14, 2023

By George Trujillo, Principal Data Strategist, DataStax Increased operational efficiencies at airports. To succeed with real-time AI, data ecosystems need to excel at handling fast-moving streams of events, operational data, and machine learning models to leverage insights and automate decision-making.

Artificial Inteligence 285

Artificial Inteligence Strategy Data Machine Learning 285

CIO

MAY 24, 2023

The first published data governance framework was the work of Gwen Thomas, who founded the Data Governance Institute (DGI) and put her opus online in 2003. They already had a technical plan in place, and I helped them find the right size and structure of an accompanying data governance program. Focus on value,” she says.

Government 263

Government Weak Development Team Data Policies 263

Cloudera

DECEMBER 20, 2022

Efficient use of data will therefore be critical to improving the competitiveness and productivity of assets, both traditional and renewable generation. Data efficiency in renewables. Effective use of data can have a direct impact on the cash flow of wind and solar generation companies in areas such as real-time decision making.

Energy 84

Energy Analytics Data Machine Learning 84

Actian

OCTOBER 24, 2019

When architecting your data warehouse solution, separating compute and data storage is extremely important for both operational sustainability and economic efficiency. Storage capacity is a function of time. As you conduct business, you generate data – data about your customers, your products, your sales, etc.

Storage 40

Storage Analytics Data Cloud 40

CIO

JULY 25, 2022

While researchers examined the pandemic in relation to how companies managed to keep afloat in such an unprecedented situation, auditors assessed the increased data vulnerability, lack of data compliance, and costs incurred by such events. An IBM report stated that data breaches now cost companies $4.24

Security 247

Security Data Compliance Enterprise 247

CIO

AUGUST 2, 2023

A data and analytics capability cannot emerge from an IT or business strategy alone. With both technology and business organization deeply involved in the what, why, and how of data, companies need to create cross-functional data teams to get the most out of it. How do they bring all of that data together?

Data 227

Data Architecture Government Strategy 227

Openxcell

JUNE 9, 2023

For example, if anyone logs on to amazon and makes a purchase, from card details, to location and preferences, all information is available over the internet very conveniently. All this raw information, patterns and details is collectively called Big Data. Let us have a look at Big Data Analytics more in detail.

Big Data 52

Big Data Analytics Tools Data 52

TechCrunch

MAY 11, 2022

It takes so long because the telemetry data that they use to analyze the problem is siloed — and specialized tools are used to look at each silo. ” Burton and the rest of Observable’s founding team sought to fix the problem with a product that combines log analytics and monitoring with app performance management. .”

Data 175

Data Technical Cofounder eCommerce Survey 175

TechCrunch

MAY 16, 2022

Claravine , a self-described marketing data platform, today announced that it raised $16 million in a Series B round led by Five Elms Capital with participation from Grayhawk Capital, Next Frontier Capital, Peninsula Ventures, Kickstart Fund, and Silverton Partners. ” Claravine’s data management platform.

Marketing 182

Marketing Data Software Review Technical Review 182

CTOvision

DECEMBER 16, 2014

It is no secret that today’s data intensive analytics are stressing traditional storage systems. SSD) to bolster the performance of traditional storage platforms and support the ever-increasing IOPS and bandwidth requirements of their applications.

Storage 104

Storage Analytics System Data 104

CIO

JULY 18, 2022

Whether the goal is elevating customer experiences, promoting operational efficiencies, or delivering new products and services, no one partner or platform can cover all the bases and serve as the central clearinghouse for fueling data insights that drive business success.

Data 196

Data Disaster Recovery Backup Systems Review 196

CIO

NOVEMBER 2, 2023

Other top concerns are data privacy and security challenges (31%) and lack of cloud security and cloud expertise (24%). After some time, people have understood the storage needs better based on usage and preventing data extract fees.” He went with cloud provider Wasabi for those storage needs. “We

Strategy 334

Strategy Cloud Generative AI Data Center 334

TechCrunch

MAY 18, 2022

Heartex, a startup that bills itself as an “open source” platform for data labeling, today announced that it landed $25 million in a Series A funding round led by Redpoint Ventures. We agreed that the only viable solution was to have internal teams with domain expertise be responsible for annotating and curating training data.

Open Source 203

Open Source Weak Development Team Artificial Inteligence Data 203

Cloudera

AUGUST 31, 2020

From leading banks, and insurance organizations to some of the largest telcos, manufacturers, retailers, healthcare and pharma, organizations across diverse verticals lead the way with real-time data and streaming analytics. And Cloudera is at the heart of enabling these real-time data driven transformations. .

Analytics 102

Analytics Airlines Off-The-Shelf Insurance 102

CIO

JANUARY 17, 2024

Ipsos, for example, has been offering its more than 5,000 clients an understanding and vision of the actions, opinions, and motivations of millions of citizens, consumers, patients, and employees in order to help them confidently navigate a world in rapid transformation. js and React.js.

Artificial Inteligence 294

Artificial Inteligence Artificial Intelligence Analysis Azure 294

CIO

FEBRUARY 13, 2023

This includes spending on strengthening cybersecurity (35%), improving customer service (32%) and improving data analytics for real-time business intelligence and customer insight (30%). Cold: On-prem infrastructure As they did in 2022, many IT leaders are reducing investments in data centers and on-prem technologies. “We

Budget 363

Budget Artificial Inteligence Technical Review VR 363

Infinidat

JULY 13, 2021

AIOps Supercharges Storage-as-a-Service: What You Need to Know. In an interesting twist, though, the deployment of Artificial Intelligence for IT Operations (AIOps) in enterprise data storage is actually living up to the promise – and more. But AI is not only inside the storage platform. Adriana Andronescu.

Storage 98

Storage Artificial Inteligence Artificial Intelligence Enterprise 98

CIO

JANUARY 31, 2024

Everything from geothermal data centers to more efficient graphic processing units (GPUs) can help. One example, he cites Meta’s Llama-2, from which he says more than 13,000 variants have been created. AWS also has models to reduce data processing and storage, and tools to “right size” infrastructure for AI application.

Sustainability 313

Sustainability Data Center Artificial Intelligence Artificial Inteligence 313

Datavail

NOVEMBER 17, 2021

As data volumes continue to grow, the systems and architectures need to evolve. This is especially important for companies that rely on analytics to drive business insights and executive decisions. Most likely, your company has shifted their approach to data and analytics. Identifying Core Challenges.

Case Study 97

Case Study Analytics Study Architecture 97

Cloudera

AUGUST 3, 2021

In summary, predicting future supply chain demands using last year’s data, just doesn’t work. Accurate demand forecasting can’t rely upon last year’s data based upon dated consumer preferences, lifestyle and demand patterns that just don’t exist today – the world has changed. Improve Visibility within Supply Chains.

Analytics 109

Analytics Open Source Government Machine Learning 109

Apiumhub

MARCH 4, 2024

Introduction Change Data Capture (CDC) in SQL Server is a powerful feature designed to track and capture changes made to data within a database. It provides a reliable and efficient way to identify alterations to tables, allowing for the extraction of valuable insights into data modifications over time.

Azure 79

Azure Data Analytics Performance 79

Cloudera

SEPTEMBER 24, 2021

One of the most substantial big data workloads over the past fifteen years has been in the domain of telecom network analytics. The Dawn of Telco Big Data: 2007-2012. Suddenly, it was possible to build a data model of the network and create both a historical and predictive view of its behaviour. Where does it stand today?

Analytics 97

Analytics Network Innovation IoT 97

Altexsoft

AUGUST 29, 2023

In 2010, a transformative concept took root in the realm of data storage and analytics — a data lake. The term was coined by James Dixon , Back-End Java, Data, and Business Intelligence Engineer, and it started a new era in how organizations could store, manage, and analyze their data. What is a data lake?

Architecture 52

Architecture Data Storage Machine Learning 52

Perficient

DECEMBER 13, 2023

Major Challenges Complex and huge volumes of data pose major challenges, a few of which are as follows: Data Sourcing Complexity Collating data from disparate sources like Pharmacy systems, Healthcare providers, Insurance claims, Patient records, and Clinical trials is a formidable task.

Healthcare 52

Healthcare AWS Lambda Data 52

OTS Solutions

JANUARY 11, 2024

With the emergence of AI, ML, DevOps, AR VR cloud computing, the Internet of Things (IoT), data analytics, digital transformation, application modernization, and other digital technologies, IT practice in mental health therapy is undergoing significant changes.

Technical Review 130

Technical Review VR Technology IoT 130

CIO

DECEMBER 19, 2023

According to NTT DATA’s 2022–23 Global Network Report , senior executives identify real-time analytics as their most critical need when it comes to network management, followed by the ability of network managers to drill down fast and efficiently to deal with problems while reducing downtime. How does NTT DATA make it happen?

Sustainability 243

Sustainability Network Generative AI WAN 243

Apps Associates

MAY 18, 2021

Background: When data lakes first came on the scene they were usually on-premises Hadoop clusters. Such systems could store any kind of data in its raw format at massive scale. Performing analytics on the data was possible but took a long time and was mostly done in batch (using map reduce routines written in Java).

Cloud 98

Cloud Data Azure Analytics 98

Mobilunity

MAY 8, 2023

An Enterprise Data Lake is a large, centralized repository that stores structured and unstructured data at scale. It is designed to store vast amounts of data from a variety of sources. Moreover an Enterprise Data Lake makes it accessible to data scientists, analysts, and other users across the enterprise.

Engineering 52

Engineering Data Storage AWS 52

CIO

MAY 3, 2023

One of four government data centers in the Netherlands, Overheidsdatacenter Noord (ODC-Noord), the northernmost facility of its kind in The Netherlands, is located in the picturesque city of Groningen. The migration to software-defined data centers was an important step in the right direction, but it’s just the beginning.

Data Center 130

Data Center Government Development Team Review Systems Review 130