CIO

NOVEMBER 28, 2023

As more businesses push forward with digital transformation projects, cloud computing has stood out as a powerful tool capable of fueling the analytics that drive new technologies like artificial intelligence (AI) and machine learning (ML)—two capabilities that are quickly becoming a must-have in nearly every organization.

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Artificial Inteligence Cloud Artificial Intelligence Analytics 293

DevOps.com

JUNE 2, 2020

Cloudian today added a monitoring and observability tool to its object-based portfolio of appliances for storing unstructured data in on-premises IT environments. The post Cloudian Adds Object-Based Storage Platform Monitoring Tool appeared first on DevOps.com. Cloudian is also pledging to extend the […].

Storage 81

Storage Tools Analytics Marketing 81

TechCrunch

JUNE 1, 2022

That’s leading to the rise of a wave of startups building tools to improve how to manage this. Added to this, the company is now going to be adding in a fourth area: now it will also offer a distributed query engine for fast queries on mapped data from a customer’s own archives in remote storage.

Analytics 246

Analytics DevOps Storage Business Intelligence 246

Openxcell

JUNE 9, 2023

Big Data analytics,on the other hand, refers to using this huge amount of data to make informed business decisions. Let us have a look at Big Data Analytics more in detail. What is Big Data Analytics? This blog explains all about Big Data Analytics, its trends, tools and more.

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Big Data Analytics Tools Data 52

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

OCTOBER 20, 2023

Cloud-based analytics, generative AI, predictive analytics, and more innovative technologies will fall flat if not run on real-time, representative data sets. A hybrid cloud approach means data storage is scalable and accessible, so that more data is an asset—not a detriment.

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Data How To Quality Assurance Software Development 322

TechCrunch

MAY 24, 2022

Given how critical this sort of visibility into a system can be for developers, not to mention a broader organization, it’s unsurprising that tools to help achieve greater observability remain in high demand. ” Image Credits: Cribl.

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Tools Survey Metrics Enterprise 212

CIO

JANUARY 19, 2024

Whether you’re looking to earn a certification from an accredited university, gain experience as a new grad, hone vendor-specific skills, or demonstrate your knowledge of data analytics, the following certifications (presented in alphabetical order) will work for you. Check out our list of top big data and data analytics certifications.)

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CIO

MARCH 6, 2024

Despite growing interest in “as a service” consumption models for everything from infrastructure to storage, most enterprises have continued to procure, maintain, and manage endpoint devices in-house. Importantly, these tools are always on and continually updated. In some cases, this is the device manufacturer itself.

Windows 246

Windows Malware Hardware Storage 246

TechCrunch

APRIL 27, 2021

It connects to various data sources including Salesforce and Google Analytics, data lakes like Snowflake, csv files to take advantage of Excel data or cloud storage tools like Amazon S3.

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Artificial Inteligence Tools Artificial Intelligence Machine Learning 212

Dzone - DevOps

DECEMBER 18, 2023

The presence of diverse data sources or in different platforms and the utilization of various Extract, Transform, Load ( ETL ) tools to ingest and transform data create a complex landscape. The platform handles everything from data science and real-time analytics to data storage and data migration. What Is Microsoft Fabric?

Analytics 45

Analytics Azure Data Big Data 45

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 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.

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Strategy Weak Development Team Data CTO Coach 339

CIO

NOVEMBER 2, 2023

He and other industry observers and IT leaders note, however, that an abundance of tools, managed services, and platforms are giving CIOs greater visibility into cloud costs and that alone is helping to lower the bills. After some time, people have understood the storage needs better based on usage and preventing data extract fees.”

Strategy 351

Strategy Cloud Generative AI Data Center 351

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. Have you updated your systems to support applications and tools that can scale as you move from SMB to midmarket to enterprise?

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Case Study Analytics Study Architecture 97

CIO

JANUARY 17, 2024

But to get to this point, the organization has had to rely on technology for decades as a strategic tool. The digitization of internal processes came in 2011, when the company decided to streamline its internal data management, quality control, project management, and communication processes through digital tools and platforms.

Artificial Inteligence 293

Artificial Inteligence Artificial Intelligence Analysis Azure 293

CIO

JULY 23, 2023

However, these innovative tools have been around for decades and are highly applicable and available. Still, organizations must take a full and honest inventory of their current processes before investing in these tools. Adopt continuous auditing and analytics Data must be monitored and governed throughout its entire lifecycle.

Government 246

Government Artificial Inteligence Data Artificial Intelligence 246

Cloudera

JUNE 26, 2023

Over time, using the wrong tool for the job can wreak havoc on environmental health. Take precaution using CDSW as an all-purpose workflow management and scheduling tool. Impala vs Spark Use Impala primarily for analytical workloads triggered by end users. So which open source pipeline tool is better, NiFi or Airflow?

Tools 76

Tools Data Engineering Analytics Testing 76

CIO

OCTOBER 30, 2023

And companies need the right data management strategy and tool chain to discover, ingest and process that data at high performance. Traditionally, data management and the core underlying infrastructure, including storage and compute, have been viewed as separate IT initiatives.

Infrastructure 357

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CIO

OCTOBER 13, 2023

Analytics/data science architect: These data architects design and implement data architecture supporting advanced analytics and data science applications, including machine learning and artificial intelligence. Information/data governance architect: These individuals establish and enforce data governance policies and procedures.

Data 329

Data Database Administration Data Engineering Artificial Inteligence 329

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. Most courses and education are focused on the sexy and shiny things of analytics engineering, like learning SQL, Python, and even learning specific tools.

Data 130

Data Technical Review Analytics Systems Review 130

CIO

NOVEMBER 14, 2022

Bayer Crop Science has applied analytics and decision-support to every element of its business, including the creation of “virtual factories” to perform “what-if” analyses at its corn manufacturing sites. These systems integrate storage and processing technologies for document retrieval and analysis. Crop planning. Clinical DSS.

System 361

System Artificial Inteligence Data Analysis 361

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

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 this reason, the need to have a data platform that allows for a fine-tuned analysis and prediction of supply and demand becomes a necessary tool to operate the business in a more efficient and profitable way.

Energy 81

Energy Analytics Data Machine Learning 81

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. It is difficult to scale storage and process infrastructure to manage the sheer increase in the volume. The approach is efficient in processing high-volume data for analytics and BI.

Data 313

Data Scalability Serverless Enterprise 313

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? .

Company 203

Company Data Storage Backup 203

Perficient

MARCH 19, 2024

BigQuery maximizes flexibility by separating the compute engine that analyzes your data from your storage choices. Powerful tools like BigQuery ML and BI Engine let you analyze and understand that data. What data visualization tools should I use? Data visualization is the graphical representation of information and data.

Data 111

Data Google Cloud Analytics Serverless 111

CIO

MAY 24, 2023

Yet, as organizations transform, CIOs and their teams are being asked to manage the optimal mix of infrastructure, platform, software, database, storage, and more to meet these new strategic objectives—while also creating sustained value and positioning the organization for the future. The challenge?

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Business Transformation Strategy Infrastructure Software Review 261

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. DC Water even has an AI tool called Pipe Sleuth that can review CCTV footage of sewer pipes to assess their maintenance needs in real-time.

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Artificial Inteligence Enterprise Artificial Intelligence Generative AI 354

CIO

JANUARY 31, 2024

Some hyperscalers offer tools and advice on making AI more sustainable, such as Amazon Web Services, which provides tips on using serverless technologies to eliminate idle resources, data management tools, and datasets. Data analytics lead Diego Cáceres urges caution about when to use AI.

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Sustainability Data Center Artificial Intelligence Artificial Inteligence 336

RapidValue

JUNE 26, 2020

Analytics is all about meaningful information at your fingertips. Reporting solutions in Oracle has gradually evolved from BI Publisher to OBIEE (Oracle Business Intelligence Enterprise Edition) both on premise and cloud visualization and now Oracle Analytics PaaS solution. Leveraging OAC & OADW for Agile Analytics.

Analytics 72

Analytics Cloud Technical Review Data 72

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 91

Analytics Network Innovation IoT 91

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

OTS Solutions

NOVEMBER 14, 2023

From streamlined workflows to enhanced patient experiences, digital IT services and tools are revolutionizing the next generation of dental practices. From improved diagnostics to streamlined workflows, digital tools are revolutionizing dentists’ operations. Digital technology has become an integral part of dental practices.

Technical Review 130

Technical Review Technology 3D Healthcare 130

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 66

TechCrunch

FEBRUARY 24, 2021

“The classic problem with these cluster-based databases is that they’ve got locally attached storage. Hydrolix wanted to create a more cost-effective way of storing and querying log data, while solving these issues with other tooling. Scalyr scores $20M Series A for super-fast log reading tool.

Data 177

Data Storage Metrics Google Cloud 177

Altexsoft

SEPTEMBER 9, 2022

We’ll briefly recap the basics first and then discuss metadata management and tools that can come in handy. Besides, they have to attract users to visit the website, so it’s a powerful marketing tool. Metadata management is a set of activities, technologies, and policies that target metadata collection, storage, and organizing.

Tools 59

Tools Technical Review Software Review Systems Review 59