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

NOVEMBER 14, 2022

Decision support system examples Decision support systems are used in a broad array of industries. Example uses include: GPS route planning. For example, a business DSS might help a company project its revenue over a set period by analyzing past product sales data and current variables. A search engine is an example.

System 361

System Artificial Inteligence Data Analysis 361

CIO

JANUARY 24, 2024

Building a successful data strategy at scale goes beyond collecting and analyzing data,” says Ryan Swann, chief data analytics officer at financial services firm Vanguard. RaceTrac is leveraging Alation’s Data Intelligence Platform to centralize data as well as provide self-service analytics for users as needed.

Strategy 340

Strategy Weak Development Team Data CTO Coach 340

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

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. Listen to the full keynote for more of Marr’s insight and real-world examples here. .

Analytics 95

Analytics Airlines Off-The-Shelf Insurance 95

Xebia

MARCH 28, 2024

However, in Xebia Data’s Analytics Engineering team’s day-to-day work for clients, we still see small and large companies struggling to address most of the core concepts. The definition of revenue is a typical example of a metric that can be defined in many different ways. Less time is spent on data modeling.

Data 130

Data Technical Review Analytics Systems Review 130

CIO

NOVEMBER 2, 2023

After being in cloud and leveraging it better, we are able to manage compute and storage better ourselves,” said the CIO, who notes that vendors are not cutting costs on licenses or capacity but are offering more guidance and tools. He went with cloud provider Wasabi for those storage needs. “We

Strategy 351

Strategy Cloud Data Center Generative AI 351

CIO

OCTOBER 19, 2023

The growing volume of data is a concern, as 20% of enterprises surveyed by IDG are drawing from 1000 or more sources to feed their analytics systems. For example, two data sources may have different data types of the same field or different definitions for the same partner data. Here’s a quick run-through.

Data 317

Data Scalability Serverless Enterprise 317

Datavail

NOVEMBER 17, 2021

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. They decided it was time to build a modern analytics environment that could support their needs now and into the future. Learn More.

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Case Study Analytics Study Architecture 97

TechCrunch

JANUARY 24, 2023

The same survey found the average number of data sources per organization is now 400 sources, and that more than 20% of companies surveyed were drawing from 1,000 or more data sources to feed their business intelligence and analytics systems. ” So what else can enterprises do with Komprise? .

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Company Data Storage Backup 203

Cloudera

AUGUST 3, 2021

Advanced analytics empower risk reduction . Advanced analytics and enterprise data are empowering several overarching initiatives in supply chain risk reduction – improved visibility and transparency into all aspects of the supply chain balanced with data governance and security. . Improve Visibility within Supply Chains.

Analytics 107

Analytics Open Source Government Machine Learning 107

Cloudera

DECEMBER 20, 2022

In this respect, several studies project that a proper use of advanced analytics implies savings of between 5% and 7.5%. For example, predictive maintenance, based on machine learning, will enable utility companies to take preventative action that avoids large-scale power outages and costs.

Energy 80

Energy Analytics Data Machine Learning 80

CIO

JANUARY 9, 2023

2] Here, we explore the demands and opportunities of edge computing and how an approach to Business Outcomes-as-a-Service can provide end-to-end analytics with lowered operational risk. It’s bringing advanced analytics and AI capabilities where they’re needed most – the edge. And they’re achieving significant wins. [2]

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IoT Technical Review Company Data 317

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. Big Data analytics,on the other hand, refers to using this huge amount of data to make informed business decisions. What is Big Data Analytics?

Big Data 52

Big Data Analytics Tools Data 52

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. Advanced predictive analytics technologies were scaling up, and streaming analytics was allowing on-the-fly or data-in-motion analysis that created more options for the data architect.

Analytics 90

Analytics Network Innovation IoT 90

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%). On-prem infrastructure will grow cold — with the exception of storage, Nardecchia says.

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Budget Artificial Inteligence Technical Review VR 363

Hu's Place - HitachiVantara

JUNE 18, 2019

There has been a growing buzz from analysts and thought leaders on the growing role of object storage in the data center. The All Flash G Series Access node for HCP has unlocked new uses for object storage. Krista Macomber of Storage Switzerland reviews our recent enhancement to HCP in Hitachi Vantara Updates it Content Platform.

Storage 66

Storage Software Review Banking Technical Review 66

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. “To

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Artificial Inteligence Artificial Intelligence Analysis Azure 299

CIO

OCTOBER 1, 2022

Compounding the challenge is the fact that the major cloud service providers (CSPs) offer as many as 600 different service options based on factors such as processor type, memory configuration, storage, networking, hypervisor, and other variables. Configurable policies mean that ICO can be tuned to the characteristics of each unique workload.

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Performance Cloud Hardware Survey 246

Datavail

JULY 7, 2022

The trends are clear: more and more companies are adopting cloud analytics to satisfy their increasing need for cutting-edge business insights. For example, the global cloud analytics market size was $19.04 There are many explanations for why businesses of all sizes and industries are shifting to cloud analytics.

Analytics 52

Analytics Artificial Inteligence Cloud Artificial Intelligence 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. The Role of Data Analytics in Enhancing Mental Health Therapy 1.

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Technical Review VR Technology IoT 130

Datavail

AUGUST 2, 2022

Considering a move to cloud analytics? Before you dive in headfirst, however, it’s important to understand what a cloud analytics migration will mean for your IT expenses. What are the Costs of Cloud Analytics? The costs of cloud analytics will vary depending on your technology stack. Analytics compute.

Analytics 52

Analytics Cloud Artificial Inteligence How To 52

CIO

APRIL 19, 2023

Reducing energy consumption across the value chain For example, AI/ML technologies can detect the outside temperature and regulate warehouse refrigeration equipment to keep foods appropriately chilled, preventing spoilage and saving energy. With 5G-enabled smart mirrors, a person can virtually try on apparel.

Retail 263

Retail IoT Artificial Inteligence Cloud 263

CIO

JANUARY 31, 2024

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. For example, using ML to route IoT messages may be unwarranted; you can express the logic with a rules engine.”

Sustainability 337

Sustainability Data Center Artificial Intelligence Artificial Inteligence 337

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.

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Sustainability Network Generative AI WAN 246

The Crazy Programmer

MAY 12, 2021

Choosing the right data storage solution will depend greatly on how the data is going to be used. While both a data lake and a data warehouse share the goal of the process data queries to facilitate analytics, their functions are different. That’s why data warehouses are specifically designed for interactive data analytics.

Data 162

Data Healthcare IoT Pharmaceuticals 162

Sunflower Lab

OCTOBER 9, 2023

Diving into World of Business Analytics Data analytics is not an old concept, it is an essential practice which has driven business success in the past and the present, it will confidently drive the success in the future too. “ Data Explosion ” refers to a trend of exponentially multiplying data that is stored.

Business Analytics 40

Business Analytics Analytics UI/UX Development Team Review 40

TechCrunch

SEPTEMBER 27, 2021

As more enterprises migrate to cloud-based architectures, they are also taking on more applications (because they can) and, as a result of that, more complex workloads and storage needs. Firebolt raises $127M more for its new approach to cheaper and more efficient Big Data analytics.

Artificial Inteligence 246

Artificial Inteligence Applications Cloud Artificial Intelligence 246

CIO

FEBRUARY 14, 2023

Here are some examples: Fraud It’s critical to identify bad actors using high-quality AI models and data Product recommendations It’s important to stay competitive in today’s ever-expanding online ecosystem with excellent product recommendations and aggressive, responsive pricing against competitors.

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Artificial Inteligence Strategy Data Machine Learning 290

Cloudera

JULY 24, 2023

In their effort to reduce their technology spend, some organizations that leverage open source projects for advanced analytics often consider either building and maintaining their own runtime with the required data processing engines or retaining older, now obsolete, versions of legacy Cloudera runtimes (CDH or HDP).

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Open Source Analytics Software Review Metrics 65

TechCrunch

NOVEMBER 3, 2020

There are many such examples: Perhaps the most famous is Slack , which originally was a multiplayer online game before pivoting to be a communications company. Box launched in 2005 as a consumer storage product before deciding to take on content management in the enterprise in 2008. billion just a year after launching.

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CIO

JUNE 9, 2023

Leveraging that data, in AI models, for example, depends entirely on the accessibility, quality, granularity, and latency of your organization’s data. Wind turbines are just one example. Simply put, data management is a sophisticated process involving various stages, such as data storage, processing, analysis, and visualization.

Strategy 290

Strategy Data Transportation Exercises 290

CIO

JANUARY 12, 2023

Here’s how edge computing works: a percentage of storage and compute resources move closer to the source of the data and away from the data center. To keep workers safe while operating machinery, for example, companies can monitor activities via AI computer vision. An edge computing architecture can begin to help solve these problems.

Technical Review 189

Technical Review Technology Innovation Data Center 189

CIO

SEPTEMBER 19, 2023

Airbnb is one company using AI to optimize pricing on AWS, utilizing AI to manage capacity, to build custom cost and usage data tools, and to optimize storage and computing capacity. Artificial Intelligence, Chatbots, IT Strategy, Predictive Analytics

Artificial Inteligence 354

Artificial Inteligence Enterprise Artificial Intelligence Generative AI 354

CIO

JUNE 6, 2023

Following the rush for organizations to move all workloads exclusively to the cloud, many organizations found they needed to repatriate workloads to on-prem storage due to privacy regulations, and cost. Think of your data and the analytics you plan to run on it. Where are those analytics best deployed? What workloads do we have?

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Azure Data Center Telecommunications Government 130

Altexsoft

AUGUST 29, 2023

In 2010, a transformative concept took root in the realm of data storage and analytics — a data lake. This flexibility makes it easier to accommodate various data types and analytics needs as they evolve over time. This structure is made efficient by data engineering practices that include object storage.

Architecture 52

Architecture Data Storage Machine Learning 52

TIBCO - Connected Intelligence

JULY 13, 2020

So, although we had to take a raincheck on the beer, I was glad to catch up with him for his insightful update on data and analytics adoption in Germany. As a BI Architect and Solutions Consultant, I span both data and analytics. We are big proponents of TIBCO’s data and analytics offerings. Today, we have over 170 employees.

Analytics 58

Analytics Data Virtualization Business Intelligence 58