OTS Solutions

JUNE 9, 2023

Enterprise application development projects have been transforming all industries such as healthcare, education, travel, hospitality, etc. Experts predicted that the framework-based application development market can grow by  $527.40 What are Enterprise Applications? billion by 2030.

Enterprise 130

Enterprise Applications Development Scalability 130

CIO

JANUARY 20, 2023

2] Foundational considerations include compute power, memory architecture as well as data processing, storage, and security. It’s About the Data For companies that have succeeded in an AI and analytics deployment, data availability is a key performance indicator, according to a Harvard Business Review report. [3]

Analytics 333

Analytics Artificial Inteligence Artificial Intelligence Hardware 333

CIO

NOVEMBER 14, 2022

Decision support systems vs. business intelligence DSS and business intelligence (BI) are often conflated. Decision support systems are generally recognized as one element of business intelligence systems, along with data warehousing and data mining. Yonyx is a platform for creating DSS applications.

System 339

System Artificial Inteligence Data Analysis 339

CIO

MARCH 8, 2023

As companies digitally transform and steer toward becoming data-driven businesses, there is a need for increased computing horsepower to manage and extract business intelligence and drive data-intensive workloads at scale. At the same time, such applications and workflows can operate and scale more readily.

Performance 236

Performance Artificial Inteligence Storage Systems Review 236

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

MARCH 9, 2022

As such, the lakehouse is emerging as the only data architecture that supports business intelligence (BI), SQL analytics, real-time data applications, data science, AI, and machine learning (ML) all in a single converged platform. Challenges of supporting multiple repository types. Pulling it all together.

Artificial Inteligence 269

Artificial Inteligence Data Artificial Intelligence Analytics 269

Altexsoft

APRIL 23, 2019

The answer is business intelligence. In this article, we will discuss the actual steps of bringing business intelligence into your existing corporate infrastructure. You will learn how to set up a business intelligence strategy and integrate tools into your company workflow. What is business intelligence?

Business Intelligence 93

Business Intelligence Analytics Tools Strategy 93

Openxcell

AUGUST 28, 2023

Introduction:- The success of modern enterprises mainly depends upon their adept utilization of enterprise applications. Due to this, companies have seamlessly integrated these applications into their business operations, which, in turn, has led to enhanced efficiency & improved engagement with employees and clients.

Enterprise 52

Enterprise Applications Development Software Review 52

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. This allows teams to receive and review business intelligence and make changes in near-real-time rather than waiting hours or days to glean insights from data. [2]

Technical Review 184

Technical Review Technology Innovation Data Center 184

TechCrunch

JUNE 1, 2022

Essentially, Coralogix allows DevOps and other engineering teams a way to observe and analyze data streams before they get indexed and/or sent to storage, giving them more flexibility to query the data in different ways and glean more insights faster (and more cheaply because doing this pre-indexing results in less latency).

Analytics 246

Analytics DevOps Storage Business Intelligence 246

CIO

JUNE 7, 2022

It comprises the processes, tools and techniques of data analysis and management, including the collection, organization, and storage of data. Data analytics has become increasingly important in the enterprise as a means for analyzing and shaping business processes and improving decision-making and business results.

Analytics 331

Analytics Data Analysis Business Analytics 331

Altexsoft

AUGUST 13, 2020

As business grows, these become impossible to analyze and keep track of manually or using spreadsheets. Business intelligence (BI) exists to address the problem of capturing and understanding data. Business intelligence in hotels: sources of data and components. Business intelligence use cases for hotels.

Business Intelligence 59

Business Intelligence Hotels Technical Review Technology 59

TechCrunch

APRIL 27, 2021

CEO and founder Ajay Khanna says the company is attempting to marry two technologies that have traditionally lived in silos: business intelligence and artificial intelligence. Today’s investment brings the total raised to $17 million, according to the company.

Artificial Inteligence 212

Artificial Inteligence Tools Machine Learning Artificial Intelligence 212

CIO

JANUARY 26, 2023

For the freight transportation company, business intelligence (BI) is one area where IT can have a top-line impact. “We Procure only what you use Enterprise technology leaders are increasingly making the shift from monolithic to modular applications. What storage do we have?’ Are we on the right cloud platform?

Budget 343

Budget Fractional CTO Off-The-Shelf Tourism 343

Kaseya

NOVEMBER 9, 2023

With the cloud, users and organizations can access the same files and applications from almost any device since the computing and storage take place on servers in a data center instead of locally on the user device or in-house servers. Many elements work in tandem to ensure seamless cloud navigation experience for users.

Cloud 105

Cloud Disaster Recovery Artificial Inteligence Infrastructure 105

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%). This should secure our business strategy for the next five years and longer.”

Budget 363

Budget Artificial Inteligence Technical Review VR 363

CIO

MARCH 24, 2023

The Business Application Research Center (BARC) warns that data governance is a highly complex, ongoing program, not a “big bang initiative,” and it runs the risk of participants losing trust and interest over time. As a practice, it is about establishing systematic, formal control over these processes and responsibilities.

Government 357

Government Data Technical Review Policies 357

CIO

SEPTEMBER 14, 2023

Data engineers design, build, and optimize systems for data collection, storage, access, and analytics at scale. They create data pipelines that convert raw data into formats usable by data scientists, data-centric applications, and other data consumers. What is a data engineer?

Data Engineering 335

Data Engineering Analytics Engineering Data 335

Altexsoft

DECEMBER 9, 2020

We will describe each level from the following perspectives: differences on the operational level; analytics tools companies use to manage and analyze data; business intelligence applications in real life; challenges to overcome and key changes that lead to transition. Ground level of analytics. Data warehouse architecture.

Analytics 102

Analytics Technical Review Technology Applications 102

Altexsoft

MAY 14, 2021

A growing number of companies now use this data to uncover meaningful insights and improve their decision-making, but they can’t store and process it by the means of traditional data storage and processing units. It comes in all sorts of forms that differ from one application to another, and most of Big Data is unstructured.

Big Data 78

Big Data Analytics Tools Applications 78

TechCrunch

SEPTEMBER 15, 2021

The company currently has “hundreds” of large enterprise customers, including Western Union, FOX, Sony, Slack, National Grid, Peet’s Coffee and Cisco for projects ranging from business intelligence and visualization through to artificial intelligence and machine learning applications.

Artificial Inteligence 234

Artificial Inteligence Data Artificial Intelligence Weak Development Team 234

Openxcell

JANUARY 6, 2023

Just a few of the existing cloud services include servers, storage, databases, networking, software, analytics, and business intelligence. Cloud storage functions by allowing users to access and download data on any selected device, such as a laptop, tablet, or smartphone, via an Internet service connection. Public cloud.

Architecture 52

Architecture Cloud Storage Google Cloud 52

Altexsoft

SEPTEMBER 23, 2021

Yet, more than often, businesses can’t make use of their most valuable asset — information. Evidently, common storage solutions fail to provide a unified data view and meet the needs of companies for seamless data flow. A data warehouse (DW) is a unified storage for all corporate data. Data warehouse vs data hub.

Architecture 52

Architecture Data Storage IoT 52

Kentik

FEBRUARY 14, 2023

Data platforms offer enterprises a range of features: Data ingestion Data storage Data transformation Data modeling Data discovery Data observability Data security Business intelligence Data platform ingestion Useful data is generated at every layer of an application. What are the main features of a modern data platform?

Network 52

Network Data Artificial Inteligence Analysis 52

O'Reilly Media - Data

APRIL 3, 2018

Companies continue to use data to improve decision-making (business intelligence and analytics) and for automation (machine learning and AI). This year, we have many sessions on managing and deploying models to production, and applications of deep learning in enterprise applications. Privacy and security. Data platforms.

Machine Learning 154

Machine Learning Artificial Inteligence Company Case Study 154

Hu's Place - HitachiVantara

APRIL 12, 2018

Previously, IT gathered communication data from multiple sources in each country, which might include email, recorded voice calls, instant messages, and chat applications. The Hitachi Content Portfolio was recently recognized by the Business Intelligence Group with the 2018 Fortress Cyber Security Award for Regulatory Compliance.

Data Center 40

Data Center Storage Data Compliance 40

Datavail

JUNE 15, 2023

“It unifies the business model across all the different types of analytics workloads, whether they’re SQL, machine learning – whatever job you want, you can use the same compute infrastructure. And this unification, at the end of the day, is what I think will fuel the next generation of AI applications.” What is Microsoft Fabric?

Azure 52

Azure Analytics Storage Generative AI 52

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.

Architecture 52

Architecture Data Storage Machine Learning 52

Altexsoft

NOVEMBER 28, 2019

But, as a business, you might be interested in extracting value of this information instead of just collecting it. Business intelligence (BI) is a set of technologies and practices to transform business information into actionable reports and visualizations. Who is a business intelligence developer?

Business Intelligence 22

Business Intelligence Technical Review Development Storage 22

Altexsoft

NOVEMBER 10, 2021

In a nutshell, the lakehouse system leverages low-cost storage to keep large volumes of data in its raw formats just like data lakes. This enables different teams to use a single system to access all of the enterprise data for a range of projects, including data science, machine learning, and business intelligence. Data lake.

Architecture 52

Architecture Data Storage Machine Learning 52

Sunflower Lab

JULY 5, 2023

Power BI is one of the leading tools in business intelligence software. Why Business Intelligence Software? We must see some of the obstacles that Business Intelligent software will address. Data security is top priority of organizations and without BI, it is very low.

Healthcare 52

Healthcare Data Business Intelligence Technical Review 52

Flexagon

MARCH 1, 2022

We have a combined 100+ years of experience dealing with the complexity of enterprise software development and operations across infrastructure, database, middleware, and applications. A browser extension solution was delivered to eliminate some of the back and forth between applications that might be needed today.

UI/UX 78

UI/UX DevOps Business Intelligence Azure 78

Altexsoft

APRIL 16, 2021

Later, this data can be: modified to maintain the relevance of what was stored, used by business applications to perform its functions, for example check product availability, etc. used for analytical purposes to understand how our business is running. An overview of data warehouse types. Data operations in OLTP.

Analytics 98

Analytics Analysis Storage Business Intelligence 98

Cloudera

AUGUST 30, 2022

That should be easy, but when agencies don’t share data or applications, they don’t have a unified view of people. CDP provides the freedom to securely move applications, data, and users bi-directionally between the data center and multiple data clouds, regardless of where the data lives. . That’s just the tip of the iceberg.

Architecture 78

Architecture Data Artificial Inteligence Artificial Intelligence 78

Altexsoft

MARCH 31, 2020

Online transaction processing ( OLTP ) systems, namely databases and applications like a shopping cart, make it possible for an eCommerce business to work non-stop as it should do. And, as is common, to transform it before loading to another storage system. We’ll get back to the types of storages a bit later. Destination.

Data 76

Data Storage Analytics Data Center 76

Datavail

JUNE 30, 2022

In general, one of the greatest benefits of the cloud is the increased capacity to scale: adding or subtracting compute or storage resources as necessary in order to fit changing levels of demand. For businesses still wedded to on-premises analytics, scalability can be a touchy subject. Scalability and flexibility. Cost-effectiveness.

Analytics 52

Analytics Cloud Business Intelligence Scalability 52

Protera

SEPTEMBER 13, 2022

Business intelligence managed services are an alternative for enterprisess without the maturity or bandwidth to manage a platform solution. Enterprise managed services are ongoing operational support services delivered by a third-party provider so that companies can stay focused on mission-critical business activities.

Enterprise 52

Enterprise Business Intelligence Cloud Infrastructure 52