Existek

JANUARY 11, 2022

Why is cloud computing better than traditional on-premise environments? How to select the right cloud service provider? It’ll be interesting to discover how market-leading providers set new standards and alter approaches to cloud computing. Cloud solutions have become unquestionably crucial for many industries and businesses.

Azure 52

Azure AWS Cloud How To 52

TIBCO - Connected Intelligence

SEPTEMBER 7, 2021

Today, it has grown into a top-class financial player in the automotive market, specializing in finance, leasing, insurance, and mobility. But with major growth, comes growing pains: more specifically, disparate data silos and disconnected, legacy systems.

Virtualization 32

Virtualization Data Insurance Software Review 32

Hu's Place - HitachiVantara

JANUARY 3, 2019

Public cloud, agile methodologies and devops, RESTful APIs, containers, analytics and machine learning are being adopted. In order to utilize the wealth of data that they already have, companies will be looking for solutions that will give comprehensive access to data from many sources.

Trends 86

Trends Artificial Inteligence Data Center Machine Learning 86

Cloudera

JANUARY 20, 2021

Most of what is written though has to do with the enabling technology platforms (cloud or edge or point solutions like data warehouses) or use cases that are driving these benefits (predictive analytics applied to preventive maintenance, financial institution’s fraud detection, or predictive health monitoring as examples) not the underlying data.

Data 106

Data Artificial Inteligence Analytics Machine Learning 106

O'Reilly Media - Ideas

JUNE 4, 2019

Get hands-on training in Docker, microservices, cloud native, Python, machine learning, and many other topics. AI-driven Future State Cloud Operations , June 7. Spotlight on Cloud: Mitigating Cloud Complexity to Ensure Your Organization Thrives with David Linthicum , August 1. Systems engineering and operations.

Course 65

Course Training Artificial Inteligence Software Review 65

Apiumhub

AUGUST 12, 2021

This year you will have 6 unique tracks: Cloud Computing: IaaS, PaaS, SaaS DevOps: Microservices, Automation, ASRs Cybersecurity: Threats, Defenses, Tests Data Science: ML, AI, Big Data, Business Analytics Programming languages: C++, Python, Java, Javascript,Net Future & Inspire: Mobility, 5G data networks, Diversity, Blockchain, VR.

Industry 59

Industry Technical Advisors CTO Coach Azure 59

Openxcell

MAY 8, 2023

Data Leakage is the sensitive data transmission, to unauthorized individuals from within the organization, to an external destination or recipient. The breach of data occurs via electronic or physical means and can also involve other channels like the web, mail, mobile, USB, or laptop.

Data 52

Data Software Review Technical Review ChatGPT 52

O'Reilly Media - Ideas

JUNE 5, 2019

Get hands-on training in Docker, microservices, cloud native, Python, machine learning, and many other topics. AI-driven Future State Cloud Operations , June 7. Spotlight on Cloud: Mitigating Cloud Complexity to Ensure Your Organization Thrives with David Linthicum , August 1. Systems engineering and operations.

Course 49

Course Training Artificial Inteligence Software Review 49

Altexsoft

AUGUST 19, 2022

You get 10GB of cloud storage and can upload 1GB of data at a time. Power BI Pro and Power BI Premium (these are sometimes referred to as Power BI Service) are more feature-rich, paid services hosted on the Microsoft Azure cloud. Power BI interface. You can also set up strong permission controls and network isolation.

Weak Development Team 52

Weak Development Team Data Azure Analytics 52

Coforge

AUGUST 31, 2020

According to a recent research by EY Insurance Consumer Research, more than 80% of customers are willing to use digital and remote contact channels (including web chat, email, mobile apps, video or phone) in place of interacting with insurers via agents or brokers. Grow — Navigating a Successful Path for Digitization.

Insurance 40

Insurance Technology Artificial Inteligence Policies 40

Altexsoft

MAY 14, 2021

Big Data enjoys the hype around it and for a reason. But the understanding of the essence of Big Data and ways to analyze it is still blurred. This post will draw a full picture of what Big Data analytics is and how it works. Big Data and its main characteristics. Key Big Data characteristics.

Big Data 78

Big Data Analytics Tools Applications 78

Altexsoft

JANUARY 22, 2020

As a result, it became possible to provide real-time analytics by processing streamed data. Please note: this topic requires some general understanding of analytics and data engineering, so we suggest you read the following articles if you’re new to the topic: Data engineering overview.

Analytics 20

Analytics Data IoT Analysis 20

Altexsoft

MARCH 18, 2021

With ETL, data is transformed in a temporary staging area before it gets to a target repository (e.g an enterprise data warehouse ) whereas ELT makes it possible to transform data after it got loaded into a target system (cloud data warehouses or data lakes ). Why does it matter so much? Let’s figure it out.

Systems Review 109

Systems Review Technical Review Software Review Compliance 109

CIO

AUGUST 5, 2022

Key data visualization benefits include: Unlocking the value big data by enabling people to absorb vast amounts of data at a glance. Identifying errors and inaccuracies in data quickly. Data visualization software encompasses many applications, tools, and scripts. It also has a mobile app.

Data 358

Data Analytics Travel Business Intelligence 358

Altexsoft

DECEMBER 14, 2022

What’s more, this software may run either partly or completely on top of different hardware – from a developer’s computer to a production cloud provider. Container environments can be operated on local computers on-premises or provided via private and public clouds. Moving to the cloud or other hosts can also be implemented quickly.

Weak Development Team 52

Weak Development Team Linux Operating System Virtualization 52

Altexsoft

FEBRUARY 8, 2021

Machine learning techniques analyze big data from various sources, identify hidden patterns and unobvious relationships between variables, and create complex models that can be retrained to automatically adapt to changing conditions. Seamless integrations are key to smooth data sharing across departments and software modules.

Business Intelligence 87

Business Intelligence Analytics Analysis Data 87

Altexsoft

APRIL 26, 2022

With the consistent rise in data volume, variety, and velocity, organizations started seeking special solutions to store and process the information tsunami. This demand gave birth to cloud data warehouses that offer flexibility, scalability, and high performance. As such, it is considered cloud-agnostic.

Weak Development Team 59

Weak Development Team Data Storage Technical Review 59

Kentik

DECEMBER 15, 2016

Kentik Detect Recognized by IDC for Cloud-Based Network Monitoring. At Kentik, we’re honored to have been recognized recently as an IDC Innovator for Cloud-Based Network Monitoring. But I think it also speaks to the importance of the cloud to the future of IT Operations Management in general and, more specifically, network monitoring.

UI/UX 40

UI/UX Innovation Big Data Network 40

BPM

JANUARY 18, 2019

As we move into a world that is more and more dominated by technologies such as big data, IoT, and ML, more and more processes will be started by external events. In 2019 I expect to see a convergence of BPM, application development and cloud platforms to support a more diverse community of developers and business users.

Artificial Inteligence 111

Artificial Inteligence Artificial Intelligence Machine Learning Weak Development Team 111

Altexsoft

OCTOBER 2, 2020

A data architect focuses on building a robust infrastructure so that data brings business value. Data modeling: creating useful and meaningful data entities. Data integration and interoperability: consolidating data into a single view. Data Management Platforms compared.

Database Administration 64

Database Administration Strategy Data Technical Review 64

Altexsoft

FEBRUARY 22, 2022

It’s an awful lot of data, so it has to be processed with special tools. Processing data. Telematics data is generated continuously in enormous amounts so it falls under the category of big data. Check our video overview of how data engineering works to get an idea. Driver app + manager app.

Software Review 52

Software Review Technical Review Software Technology 52

Altexsoft

OCTOBER 26, 2022

To enable this conversion, a CDO uses digital information and modern technologies such as the cloud, the Internet of Things , mobile apps, social media, machine learning-based products, and digital marketing. CMOs are often the catalysts for the digitization that drive the innovation agenda. Who reports to whom? Business acumen.

CTO 52

CTO Organization Technical Review Culture 52

Altexsoft

OCTOBER 23, 2019

Tech Alpharetta hosts regular events for tech-focused executives, with engineering-related activities. The events cover domains such as big data, cybersecurity, blockchain, and cryptocurrency. The forum has a mobile app with presentations available after the event. TechAlpharetta.

Security 13

Security Artificial Inteligence Conference Data Center 13

Apiumhub

APRIL 8, 2021

Adrian specializes in mapping the Database Management System (DBMS), Big Data and NoSQL product landscapes and opportunities. Ronald van Loon has been recognized among the top 10 global influencers in Big Data, analytics, IoT, BI, and data science. Ronald van Loon. Kirk Borne. Marcus Borba. Cindi Howson.

Artificial Inteligence 110

Artificial Inteligence Technical Advisors Data Machine Learning 110

Altexsoft

DECEMBER 15, 2021

The rest is done by data engineers, data scientists , machine learning engineers , and other high-trained (and high-paid) specialists. Standing for Mobile Broadband Network LTD, MBNL is a leading provider of telecommunication services, jointly owned by two British most innovative mobile operators.

Machine Learning 59

Machine Learning Artificial Inteligence How To Azure 59

Altexsoft

MARCH 30, 2023

What is Databricks Databricks is an analytics platform with a unified set of tools for data engineering, data management , data science, and machine learning. It combines the best elements of a data warehouse, a centralized repository for structured data, and a data lake used to host large amounts of raw data.

Weak Development Team 64

Weak Development Team Machine Learning Artificial Inteligence Software Review 64