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

JANUARY 26, 2023

IT leaders seeking to drive enterprise growth through technology investments are often saddled with budgets that make their tasks of increasing the top and bottom lines challenging. Enterprise technology leaders must differentiate between cost and investment if they want to make the most of their limited budgets.

Budget 345

Budget Fractional CTO Off-The-Shelf Tourism 345

CIO

JANUARY 24, 2024

Classical machine learning: Patterns, predictions, and decisions Classical machine learning is the proven backbone of pattern recognition, business intelligence, and rules-based decision-making; it produces explainable results. Downsides: Not generative; model behavior can be a black box; results can be challenging to explain.

Artificial Inteligence 281

Artificial Inteligence Generative AI ChatGPT Machine Learning 281

Hu's Place - HitachiVantara

APRIL 12, 2018

Digital transformation revolves around our ability to modernize our data center because that is where our data resides. The data center is no longer a physical location. It extends beyond the walls of the enterprise, to the cloud, and to the edge where new data is being generated and analyzed.

Data Center 40

Data Center Storage Data Compliance 40

CIO

MARCH 7, 2023

Some IT organizations elected to lift and shift apps to the cloud and get out of the data center faster, hoping that a second phase of funding for modernization would come. Then, often reporting to risk, compliance, or security organizations, are separate data governance teams focused on data security, privacy, and quality.

Weak Development Team 363

Weak Development Team Technical Review Software Review SCRUM 363

CIO

SEPTEMBER 6, 2022

When Steve Pimblett joined The Very Group in October 2020 as chief data officer, reporting to the conglomerate’s CIO, his task was to help the enterprise uncover value in its rich data heritage. As a result, Pimblett now runs the organization’s data warehouse, analytics, and business intelligence.

Retail 245

Retail Groups Organization Data 245

CIO

NOVEMBER 22, 2022

But while these systems continue to work well for their certain purposes, they’re becoming increasingly ill equipped to handle the demands of a growing digital enterprise. And how is that data reconciled into the POS systems to determine in-store product quantity?

Retail 363

Retail Minimum Viable Product Architecture Artificial Inteligence 363

CIO

SEPTEMBER 18, 2023

According to the 2023 State of the CIO , IT leaders are looking to shore up competencies in key areas such as cybersecurity (39%), application development (30%), data science/analytics (30%), and AI/machine learning (26%).

Technical Review 340

Technical Review Pharmaceuticals Security Training 340

CIO

AUGUST 23, 2023

About the author Scott Hays Senior Director, Portfolio Marketing Rimini Street Scott Hays is a seasoned veteran in enterprise software technology for ERP and customer experience. link] Data Center Management, IT Leadership Goodbye and best wishes. Sincerely, Me To learn more, visit us here.

Sustainability 246

Sustainability Software Generative AI Programming 246

CIO

NOVEMBER 5, 2024

In the European Union, for example, three-quarters of organizations are in the early stages of doing so (IDC’s Future Enterprise Resiliency and Spending Survey, Wave 3, April 2023).

Sustainability 246

Sustainability Disaster Recovery Survey Energy 246

Datavail

JANUARY 14, 2020

Over the years, Oracle has made a lot of innovations in their Oracle Enterprise Manager (OEM) cloud control tool. Using OEM, you can monitor and manage your wide-ranging enterprise environment including databases, applications, middleware, virtualization infrastructure, cross deployments and non-Oracle targets. Always-ON Monitoring.

Enterprise 52

Enterprise Software Review Metrics Systems Review 52

d2iq

JUNE 23, 2022

Like the AWS Summits in Atlanta and Washington DC, the big trends AWS is highlighting at the New York Summit are artificial intelligence (AI), machine learning (ML), analytics, business intelligence, modern applications based on containers, and the Internet of Things (IoT).These

AWS 78

AWS Artificial Inteligence DevOps Guidelines 78

Cloudera

AUGUST 30, 2022

Data Lakehouse: Data lakehouses integrate and unify the capabilities of data warehouses and data lakes, aiming to support artificial intelligence, business intelligence, machine learning, and data engineering use cases on a single platform. Towards Data Science ). Forrester ).

Architecture 77

Architecture Data Artificial Inteligence Artificial Intelligence 77

Kaseya

NOVEMBER 9, 2023

As the digital horizon expands, businesses worldwide are embracing the cloud, recognizing its transformative capabilities in orchestrating efficiency, progress and sustained growth for modern enterprises. It enables organizations to operate efficiently without needing any extensive internal infrastructure.

Cloud 105

Cloud Disaster Recovery Infrastructure Artificial Inteligence 105

DataRobot

SEPTEMBER 14, 2021

Now, data scientists , analytics experts , business users , and IT teams can collaborate in a single, unified platform. Now, all data from all sources can come together in a single system of record. Now, you can deploy AI anywhere, across multiple clouds, the data center, and the edge.

Data Center 52

Data Center Cloud Google Cloud Analytics 52

CloudSphere

DECEMBER 11, 2019

Organizations must understand the business impact of migration in order to plan accurate move groups. iQCloud’s top-down analysis of enterprise applications, workloads, and infrastructure uncovers the complex mix of workloads—on-premises, virtualized, containerized, or already cloud-native. About iQuate. About iQuate.

AWS 52

AWS Data Center Virtualization Analysis 52

Datavail

MARCH 3, 2022

The tools used to gather and investigate data have evolved, too. Today’s advanced technologies provide data analytics programming to understand, learn from, and harness the values hidden deep in those data center depths. Data Science = Business Intelligence. Business Intelligence = Analytics.

Business Analytics 52

Business Analytics Analytics Machine Learning Artificial Inteligence 52

CTOvision

MARCH 13, 2017

Businesses, enticed away from traditional data center models by lower upfront capital costs and simpler solutions to scaling and reliability issues, have been adopting cloud technology in droves. Still, for business leaders without a strong technical background, cloud computing can seem almost impenetrable.

Cloud 99

Cloud Real Estate Data Center Infrastructure 99

Kentik

MARCH 7, 2018

This series of blog posts will examine many aspects of ensuring application performance in cloud-scale enterprise WANs utilizing a hybrid of public and private networks. A prime example is the cloud-scale, data-intensive, cognitive computing infrastructure that will support Industry 4.0 applications. An Industry 4.0

Industry 40

Industry Data Center WAN Big Data 40

CTOvision

JANUARY 19, 2014

We all tracked topics like the Shutdown and its impact on IT, HealthCare.gov, NSA programs, Data Center consolidation efforts. The really interesting stories, at least from a CTO perspective, are big technology mega trends that are forcing change and positive improvements in enterprise IT. Business Intelligence 2.0:

Technical Review 109

Technical Review Technology Business Intelligence Systems Review 109

Cloudera

OCTOBER 30, 2023

The legacy IT infrastructure to run the business operations — mainly data centers — has a deadline to shift to cloud-based services. Agility, innovation, and time-to-value are the key differentiators cloud service providers (CSP) claim to help organizations speed up digital transformation projects and business objectives.

Analytics 78

Analytics Cloud Technical Review Resources 78

Altexsoft

MARCH 31, 2020

Data warehouses – central repositories for relational data transformed (processed) for a particular purpose (Amazon Redshift, Snowflake, Oracle). Since the main users are business professionals, a common use case for data warehouses is business intelligence. Traditional analytics.

Data 76

Data Storage Analytics Data Center 76

Kentik

JULY 10, 2018

This series of guest posts has concentrated on the numerous challenges facing enterprise IT managers as businesses embrace digital transformation and migrate IT applications from private data centers into the cloud. In this post, I would like to finally expand on this theme.

Tools 45

Tools Cloud Big Data WAN 45

elsua: The Knowledge Management Blog

MARCH 21, 2008

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Enterprise 40

Enterprise Network Wireless Social 40

Protera

MAY 23, 2023

The public cloud is the future of business — Gartner reports that by 2025 more than 95% of new digital workloads will be cloud native, and 80% of companies say that they will close their on-premise data centers by the same year (compared to only 10% in 2020). But not as many are doing it successfully.

Cloud 52

Cloud Testing Data Center Systems Review 52

elsua: The Knowledge Management Blog

FEBRUARY 20, 2008

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Enterprise 40

Enterprise Wireless Linux Data Center 40

elsua: The Knowledge Management Blog

JUNE 11, 2007

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Enterprise 40

Enterprise Wireless Conference Linux 40

elsua: The Knowledge Management Blog

JULY 6, 2007

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Enterprise 40

Enterprise Wireless Linux Data Center 40

elsua: The Knowledge Management Blog

JULY 9, 2007

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Enterprise 40

Enterprise Wireless Linux Data Center 40

elsua: The Knowledge Management Blog

JULY 10, 2007

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Enterprise 40

Enterprise Wireless Linux Data Center 40

elsua: The Knowledge Management Blog

JULY 10, 2007

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Enterprise 40

Enterprise Wireless Linux Data Center 40

elsua: The Knowledge Management Blog

JULY 11, 2007

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Enterprise 40

Enterprise Wireless Linux Data Center 40

elsua: The Knowledge Management Blog

JULY 6, 2007

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Enterprise 40

Enterprise Wireless Linux Data Center 40

elsua: The Knowledge Management Blog

MAY 3, 2008

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Case Study 40

Case Study Enterprise Wireless Study 40

elsua: The Knowledge Management Blog

JULY 9, 2007

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Enterprise 40

Enterprise Wireless Linux Data Center 40

elsua: The Knowledge Management Blog

JULY 10, 2007

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Enterprise 40

Enterprise Wireless Linux Data Center 40

Hu's Place - HitachiVantara

FEBRUARY 15, 2019

While the respondents in the survey ran 40% of their workloads in public cloud and 39 % in private cloud, enterprise customers ran fewer workloads in the public cloud, 32%, and more in Private clouds, 45%, which reflects their concern with security and safety of critical workloads. The number of respondents adopting private cloud is 75%.

Cloud 49

Cloud AWS Open Source Data Center 49