Xebia

JANUARY 19, 2023

The following quotes date back to those years: Data Engineers set up and operate the organization’s data infrastructure, preparing it for further analysis by data analysts and scientist. – AltexSoft All the data processing is done in Big Data frameworks like MapReduce, Spark and Flink.

Data Engineering 130

Data Engineering Engineering Data Technical Review 130

Trigent

APRIL 14, 2022

Here, we want to talk about how the workplace has changed forever: especially the distributed enterprise. . To be fair, the distributed enterprise is not a new concept at all. How will you make the Distributed Enterprise future-ready? . CSPs have blurred the line between enterprise and carrier cloud with their offerings.

Enterprise 52

Enterprise Technology Artificial Inteligence IoT 52

Cloudera

SEPTEMBER 11, 2018

Last week Cloudera introduced an open end-to-end architecture for IoT and the different components needed to help satisfy today’s enterprise needs regarding operational technology (OT), information technology (IT), data analytics and machine learning (ML), along with modern and traditional application development, deployment, and integration.

IoT 40

IoT Machine Learning Artificial Inteligence Data 40

Kentik

JANUARY 3, 2018

Looking into Network Monitoring in an IoT enabled network. Whether financial, healthcare, energy, manufacturing, or web enterprises, across all industries, a common goal is digitizing the organization as fast as possible. As part of the movement, organizations are also looking to benefit from the Internet of Things (IoT).

IoT 40

IoT Network Tools Big Data 40

Gorilla Logic

MAY 19, 2021

. • Monetize data with technologies such as artificial intelligence (AI), machine learning (ML), blockchain, advanced data analytics , and more. Create value from the Internet of Things (IoT) and connected enterprise. Some of the most common include cloud, IoT, big data, AI/ML, mobile, and more.

Software Review 94

Software Review Technical Review Software Development Team Review 94

Cloudera

JANUARY 26, 2022

According to 451 Research , 96% of enterprises are actively pursuing a hybrid IT strategy. Modern, real-time businesses require accelerated cycles of innovation that are expensive and difficult to maintain with legacy data platforms. But how did the hybrid cloud come to dominate the data sector? . Modern Day and the Future.

Cloud 83

Cloud Data Architecture Virtualization 83

Cloudera

MARCH 24, 2022

Clearly the emergence of virtualized network infrastructure is a domain offering lots of scope for new services and new roles for the service provider to play in enterprise solutions, and the idea of an open programmable network,has great attraction both to service providers and their enterprise clients.

Telecommunications 122

Telecommunications Technical Review Weak Development Team Network 122

CIO

FEBRUARY 14, 2023

Titanium Intelligent Solutions, a global SaaS IoT organization, even saved one customer over 15% in energy costs across 50 distribution centers , thanks in large part to AI. Organizations have balanced competing needs to make more efficient data-driven decisions and to build the technical infrastructure to support that goal.

Artificial Inteligence 290

Artificial Inteligence Strategy Data Machine Learning 290

Mentormate

APRIL 15, 2024

This platform independence has made Java a preferred choice for developing cross-platform applications, ranging from desktop to mobile and enterprise solutions. Additionally, Java’s modular architecture and well-defined APIs help facilitate easy extension and alteration of the codebase, making it adaptable to evolving requirements.

Software Review 52

Software Review Telecommunications Scalability Technical Review 52

Apiumhub

FEBRUARY 6, 2023

We are excited to announce that for the second year in a row , Apiumhub will support the Data Innovation Summit , which will take place on May 11th and 12th in Kistamässan, Stockholm. It’s a fantastic opportunity to network and learn from case studies and outstanding industry leaders.

Innovation 82

Innovation Data Machine Learning Artificial Inteligence 82

OTS Solutions

JULY 18, 2023

In today’s digital age, the success of any enterprise is increasingly dependent on its ability to deliver high-quality software products and services quickly and efficiently. To meet this demand, enterprises have turned to DevOps and digital engineering practices to streamline their software development and delivery processes.

DevOps 130

DevOps Engineering Artificial Inteligence Software Review 130

OTS Solutions

JULY 18, 2023

In today’s digital age, the success of any enterprise is increasingly dependent on its ability to deliver high-quality software products and services quickly and efficiently. To meet this demand, enterprises have turned to DevOps and digital engineering practices to streamline their software development and delivery processes.

DevOps 130

DevOps Engineering Artificial Inteligence Software Review 130

Cloudera

AUGUST 3, 2021

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. . Advanced analytics empower risk reduction . Improve Visibility within Supply Chains.

Analytics 108

Analytics Open Source Government Machine Learning 108

Openxcell

JANUARY 6, 2023

Cloud computing has emerged as the optimal method of delivering enterprise software for businesses introducing new technologies or expanding their infrastructure. Everything You Need to Know – Architecture, Benefits & Much More appeared first on OpenXcell. What is cloud computing? The post What is Cloud Computing?

Architecture 52

Architecture Cloud Storage Google Cloud 52

CTOvision

DECEMBER 30, 2015

Here is more on what we expect each will bring us in 2016: Cloud Computing : The efficiencies of this new architecture are driving compute costs down. Big Data : For years now people and our sensors and our computers have been generating more information than we can analyze. The home will be a major avenue for IoT advances.

Technical Review 62

Technical Review Trends Report Enterprise 62

CTOvision

FEBRUARY 10, 2015

Hitachi Data Systems Announces Intent to Acquire Pentaho to Deliver More Value From Big Data and the Internet of Things That Matter. Acquisition delivers data integration, business analytics expertise, and foundational technologies that accelerate big data value. Press release below from: [link].

System 114

System Data Big Data Business Analytics 114

Cloudera

DECEMBER 19, 2018

Business intelligence (BI), an umbrella term coined in 1989 by Howard Dresner, Chief Research Officer at Dresner Advisory Services, refers to the ability of end-users to access and analyze enterprise data. Big Data Technologies and Architectures. The most common big data use case is data warehouse optimization.

Analytics 52

Analytics Trends Data Big Data 52

Capgemini

MAY 20, 2020

Retailers have long been hampered by their data infrastructures, first by structural limitations inherent in data warehouses and then the expense and lack of agility of newer big-data systems. M ost spend more than 70% of the data and analytics budget o n data warehousing, data lake s, management, and storage.

Infrastructure 64

Infrastructure Data Retail Analytics 64

RapidValue

MAY 6, 2020

RapidValue’s dedicated software engineers have extensive experience of synergizing industry domain experience to deliver digital business transformation solutions traversing Mobile, Social, Cloud, Big Data & Analytics, and IoT. Enabling Cloud-driven Transformation.

Technical Review 98

Technical Review Development B2B Mobile 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

CTOvision

FEBRUARY 23, 2017

Attending is a great way to track the latest in the community, learn (and share) lessons learned and find the most capable technologies ready for enterprise use. This is the place to dive deep into the latest on Big Data, Analytics, Artificial Intelligence, IoT, and the massive cybersecurity issues in all those topics.

Big Data 61

Big Data Artificial Intelligence Artificial Inteligence Case Study 61

Trigent

FEBRUARY 15, 2023

Introduction – Dealing with the data tsunami Data, when properly processed and analyzed, can substitute assumptions with knowledge. As a result, implementing Data-driven systems is a daunting prospect, leaving valuable data unused or underutilized. Big Data / Fast Data – Do I need both?

Data 52

Data Insurance Technical Review Big Data 52

OverOps

SEPTEMBER 20, 2018

The Do’s and Don’ts That Every IoT Project Should Be Built On. In this panel, we’ll hear from Hal Rottenberg , Staff Sales Engineer and Andi Mann , Chief Technology Advocate from Splunk, as well as from Cesar Barria , Director Architecture at Cox Auto and Deepak Giridharagopal , CTO at Puppet about the current state of DevOps.

Artificial Inteligence 133

Artificial Inteligence Artificial Intelligence DevOps IoT 133

Perficient

MARCH 3, 2023

AEM Platform Overview A standard AEM architecture consists of three environments: author, publish, and dispatcher. Also, AEM can be used to augment or create headless commerce architectures seamlessly. Each of these environments consists of one or more instances.

AWS 64

AWS Technical Review Load Balancer Cloud 64

Hu's Place - HitachiVantara

SEPTEMBER 4, 2018

Enterprise Storage Forum recently published their 2018 Storage Trends survey which made some interesting observations. When one considers the data explosion being accelerated by Big Data, IoT, the increasing use of meta data, and AI/Machine learning, it is not surprising that storage capacity should be our greatest concern.

Storage 53

Storage Performance IoT Machine Learning 53

Linux Academy

JANUARY 26, 2019

Compute- and storage-intensive applications find their way to the cloud because of the need to scale so large that on-premises data centers are simply no longer feasible. Consumers will soon go beyond smartphones and tablets and start using wearables, connected cars, and other IoT devices more than ever before.

Cloud 60

Cloud Artificial Inteligence Data Center Artificial Intelligence 60

Hu's Place - HitachiVantara

JANUARY 3, 2019

Organization will be looking for orchestration capabilities like Hitachi Vantara’s Pentaho’s data integration and machine learning orchestration tools , to stream line the machine learning workflow and enable smooth team collaboration.

Trends 86

Trends Artificial Inteligence Data Center Machine Learning 86

O'Reilly Media - Ideas

DECEMBER 5, 2018

Data science and data tools. Apache Hadoop, Spark, and Big Data Foundations , January 15. Python Data Handling - A Deeper Dive , January 22. Practical Data Science with Python , January 22-23. Cleaning Data at Scale , January 24. Foundational Data Science with R , January 30-31. Programming.

Artificial Inteligence 105

Artificial Inteligence Course Training Blockchain 105

Apiumhub

JUNE 22, 2021

Same as last year, the event offers six workshops (crash-course) themes, each dedicated to a unique domain area: Data-driven Strategy, Analytics & Visualisation, Machine Learning, IoT Analytics & Data Management, Data Management and Data Engineering.

Innovation 83

Innovation Data Technical Review Artificial Inteligence 83

Gorilla Logic

OCTOBER 2, 2019

For many businesses, IoT has rapidly become a powerful “weapon of mass disruption.” Legacy architecture. It might not surprise you to learn that, just 26% of all IoT initiatives succeed. . Here are four strategies you can adopt to greatly increase the odds of success for your IoT or IoT-enabled connected enterprise project.

UI/UX 9

UI/UX Artificial Inteligence Enterprise IoT 9

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. Digital transformation in this sector will have major implications for enterprise IT systems, software and network infrastructure. Industry 4.0 An Industry 4.0

Industry 40

Industry Data Center WAN Big Data 40

Trigent

MARCH 24, 2021

A global survey of CIOs iterates why AIOps is so critical for IT enterprises. Artificial intelligence, machine learning, big data have all been spoken about in great length and form the very backbone of Artificial Intelligence for IT operations or AIOps. Those who needed those tools didn’t have access to them.

Artificial Inteligence 52

Artificial Inteligence Artificial Intelligence Machine Learning Infrastructure 52

Trigent

MARCH 24, 2021

A global survey of CIOs iterates why AIOps is so critical for IT enterprises. Artificial intelligence, machine learning, big data have all been spoken about in great length and form the very backbone of Artificial Intelligence for IT operations or AIOps. Those who needed those tools didn’t have access to them.

Artificial Inteligence 52

Artificial Inteligence Artificial Intelligence Machine Learning Technical Review 52

O'Reilly Media - Ideas

MAY 1, 2019

Spotlight on Data: Caching Big Data for Machine Learning at Uber with Zhenxiao Luo , June 17. Introduction to Distributed Ledger Technology for Enterprise , July 10. Apache Hadoop, Spark and Big Data Foundations , June 5. Real-time Data Foundations: Kafka , June 11. IoT Fundamentals , June 17-18.

Course 47

Course Training Artificial Inteligence Machine Learning 47

O'Reilly Media - Ideas

APRIL 3, 2019

Essential Machine Learning and Exploratory Data Analysis with Python and Jupyter Notebook , May 28-29. Introduction to Distributed Ledger Technology for Enterprise , May 9. Data science and data tools. Apache Hadoop, Spark, and Big Data Foundations , April 22. Data Structures in Java , May 1.

Course 49

Course Artificial Inteligence Training Google Cloud 49

O'Reilly Media - Ideas

JANUARY 2, 2019

Artificial Intelligence for Big Data , February 26-27. Data science and data tools. Apache Hadoop, Spark, and Big Data Foundations , January 15. Python Data Handling - A Deeper Dive , January 22. Practical Data Science with Python , January 22-23. SQL Fundamentals for Data , February 19-20.

Course 60

Course Artificial Inteligence Training Blockchain 60

AWS Machine Learning - AI

FEBRUARY 29, 2024

Knowledge Bases for Amazon Bedrock supports multiple vector databases, including Amazon OpenSearch Serverless , Amazon Aurora , Pinecone, and Redis Enterprise Cloud. For enterprise implementations, Knowledge Bases supports AWS Key Management Service (AWS KMS) encryption, AWS CloudTrail integration, and more. Nihir Chadderwala is a Sr.

Knowledge Base 110

Knowledge Base Artificial Inteligence Generative AI AWS 110