CIO

SEPTEMBER 8, 2022

Machine learning (ML) is a commonly used term across nearly every sector of IT today. And while ML has frequently been used to make sense of big data—to improve business performance and processes and help make predictions—it has also proven priceless in other applications, including cybersecurity.

Machine Learning 363

Machine Learning Artificial Inteligence CTO Malware 363

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

Apiumhub

AUGUST 20, 2018

This interactive approach leads to incremental evolution, and though we are talking about analysing big data, can be applied in any team or to any project. When analysing big data, or really any kind of data with the motive of extracting useful insights, a few key things are paramount. Clean your data.

Big Data 47

Big Data Tools Data Artificial Inteligence 47

AWS Machine Learning - AI

FEBRUARY 29, 2024

Conclusion Amazon Bedrock provides a broad set of deeply integrated services to power RAG applications of all scales, making it straightforward to get started with analyzing your company data. To learn more about the capabilities of Amazon Bedrock and knowledge bases, refer to Knowledge base for Amazon Bedrock.

Knowledge Base 109

Knowledge Base Artificial Inteligence Generative AI AWS 109

Gorilla Logic

JUNE 5, 2018

In this blog series, you will explore the rise of IoT and how Gorillas are adapting to the trend. In this post, I introduce IoT from an embedded software – or systems – perspective. On the other hand, if you don’t know what IoT is, then please make a quick search and we’ll wait for you. Some of the IoT Challenges.

IoT 47

IoT Software Serverless AWS 47

Tandem

APRIL 2, 2024

With the ever-expanding set of emerging technologies — big data, machine learning (ML), artificial intelligence (AI), next-gen user experiences (UI/UX), edge computing, the Internet-of-things (IoT), microservices, and Web3 — there is a huge surface area to address.

UI/UX 59

UI/UX Software Weak Development Team Artificial Inteligence 59

OTS Solutions

JULY 18, 2023

DevOps methodology is an approach that emphasizes collaboration, automation, and continuous delivery, while digital engineering is a framework for developing, operating, and managing software systems that are scalable, resilient, and secure.

DevOps 130

DevOps Engineering Artificial Inteligence Software Review 130

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

OTS Solutions

JULY 18, 2023

DevOps methodology is an approach that emphasizes collaboration, automation, and continuous delivery, while digital engineering is a framework for developing, operating, and managing software systems that are scalable, resilient, and secure.

DevOps 130

DevOps Engineering Artificial Inteligence Software Review 130

Xicom

MARCH 14, 2023

Table Of Contents 1) Machine Learning in Mobile Apps 2) Predictive Analysis 3) Virtual Personal Assistants 4) Improved User Experience 5) Augmented Reality 6) Blockchain Technology 7) Facial Recognition 8) Internet of Things 9) Cloud Computing 10) Cybersecurity 11) Marketing and Advertisements 12) Big Data Q1: What is Artificial Intelligence?

Artificial Inteligence 52

Artificial Inteligence Artificial Intelligence Mobile Development 52

Perficient

MAY 23, 2023

Real-time data analytics and machine learning algorithms allow manufacturers to monitor and optimize operations, enabling predictive maintenance, minimizing downtime, and improving overall productivity. In this example, RTD temperature sensors are capturing data from the inlet and outlets of a heat exchanger.

Technology 59

Technology Artificial Inteligence IoT Azure 59

Xicom

JANUARY 4, 2023

Top 10 Android app development trends 1) Artificial Intelligence 2) 5G Technology 3) Blockchain Technology 4) Augmented Reality and Virtual Reality 5) Internet of Things & Cloud 6) CyberSecurity 7) Wearables applications 8) Chatbots 9) Cross-platform development 10) Big Data Conclusion FAQs. 10) Big Data.

Trends 59

Trends Artificial Inteligence Development Artificial Intelligence 59

CTOvision

JUNE 15, 2015

IBM will also put more than 3,500 IBM researchers and developers to work on Spark-related projects at more than a dozen labs worldwide; donate its breakthrough IBM SystemML machine learning technology to the Spark open source ecosystem; and educate more than one million data scientists and data engineers on Spark.

Open Source 117

Open Source Big Data Machine Learning Artificial Inteligence 117

Instaclustr

DECEMBER 1, 2019

The Berlin ApacheCon was also smaller, but in a more compact location and with less tracks (General, Community, Machine Learning, IoT, Big Data), so on average the talks had more buzz than Las Vegas, with an environment more conducive to catching up with people more than once for ongoing conservations afterwards.

IoT 39

IoT Open Source Conference Big Data 39

Perficient

MARCH 3, 2023

They want to deploy a powerful content management solution on a scalable and highly available platform and also shift focus from infrastructure management so that their IT teams focus on content delivery. Progressing from visiting a website to filling out an online form, as one example, should be a seamless process.

AWS 64

AWS Technical Review Load Balancer Cloud 64

Instaclustr

DECEMBER 2, 2019

The Berlin ApacheCon was also smaller, but in a more compact location and with less tracks (General, Community, Machine Learning, IoT, Big Data), so on average the talks had more buzz than Las Vegas, with an environment more conducive to catching up with people more than once for ongoing conservations afterwards.

IoT 36

IoT Open Source Conference Big Data 36

Altexsoft

AUGUST 29, 2023

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. This article explains what a data lake is, its architecture, and diverse use cases. Who needs a data lake? Processed data section.

Architecture 52

Architecture Data Storage Machine Learning 52

Actian

FEBRUARY 24, 2020

Still, the underlying premise is the same – in a post-digital transformation environment, companies need the ability to leverage a wide variety of technology components to support their business: IoT, cloud services, mobile devices, SaaS software, and traditional IT systems. RPA vendors also have a data challenge.

Artificial Inteligence 40

Artificial Inteligence IoT Artificial Intelligence Mobile 40

Trigent

APRIL 14, 2022

The data was being processed remotely by a cloud server, and response time was slow. The solution came in the form of an Intelligent Edge solution from FogHorn that makes complex machine learning modules run on highly constrained devices. CSPs have blurred the line between enterprise and carrier cloud with their offerings.

Enterprise 52

Enterprise Technology Artificial Inteligence IoT 52

Mobilunity

MAY 8, 2023

Key zones of an Enterprise Data Lake Architecture typically include ingestion zone, storage zone, processing zone, analytics zone, and governance zone. Ingestion zone is where data is collected from various sources and ingested into the data lake. Storage zone is where the raw data is stored in its original format.

Engineering 52

Engineering Data Storage AWS 52

Cloudera

FEBRUARY 12, 2019

Mobile data traffic is predicted to grow at a 40 to 50 percent rate annually, and Internet of Things (IoT) connections from 25 to 30 percent. As technology adoption increases, more service providers require 5G to support the surge of incoming data. But a high data rate and reduced latency is exactly what 5G was built for.

Artificial Inteligence 40

Artificial Inteligence IoT Mobile Artificial Intelligence 40

Kaseya

MAY 13, 2021

The public cloud infrastructure is heavily based on virtualization technologies to provide efficient, scalable computing power and storage. Cloud adoption also provides businesses with flexibility and scalability by not restricting them to the physical limitations of on-premises servers. Scalability and Elasticity.

Google Cloud 122

Google Cloud Azure AWS Cloud 122

O'Reilly Media - Ideas

APRIL 3, 2019

Learn new topics and refine your skills with more than 150 new live online training courses we opened up for April and May on the O'Reilly online learning platform. AI and machine learning. Deep Learning from Scratch , April 19. Beginning Machine Learning with Pytorch , May 1. Blockchain.

Course 49

Course Artificial Inteligence Training Google Cloud 49

O'Reilly Media - Ideas

JANUARY 2, 2019

Get hands-on training in Python, Java, machine learning, blockchain, and many other topics. Learn new topics and refine your skills with more than 250 new live online training courses we opened up for January, February, and March on our online learning platform. AI and machine learning.

Course 59

Course Artificial Inteligence Training Blockchain 59

Altexsoft

MARCH 30, 2020

the fourth industrial revolution driven by automation, machine learning, real-time data, and interconnectivity. Similar to preventive maintenance, PdM is a proactive approach to servicing of machines. It preprocesses and filters data from IIoT thus reducing its amount before feeding to the data center.

Artificial Inteligence 72

Artificial Inteligence Machine Learning Technical Review IoT 72

CTOvision

DECEMBER 30, 2015

Also look for more use of software for operating datacenters in scalable ways and for moving workloads between and among clouds. 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

Altexsoft

AUGUST 25, 2020

Big data can be quite a confusing concept to grasp. What to consider big data and what is not so big data? Big data is still data, of course. Big data is tons of mixed, unstructured information that keeps piling up at high speed. Data engineering vs big data engineering.

Big Data 75

Big Data Data Engineering Engineering Data 75

Progress

JULY 19, 2019

With the right health IT solutions, hospitals can tackle regulated problems—specifically operational efficiency, with scalability, flexibility and innovation. No-shows are one of the biggest drivers of increased healthcare costs, with data from NHS Digital revealing that missed appointments cost general practices more than 1.2

Artificial Inteligence 40

Artificial Inteligence Artificial Intelligence Healthcare Infrastructure 40

Altexsoft

MAY 20, 2020

For the most part, they belong to the Internet of Things (IoT), or gadgets capable of communicating and sharing data without human interaction. The number of active IoT connections is expected to double by 2025, jumping from the current 9.9 Source: IoT Analytics. IoT architecture layers. How an IoT system works.

IoT 141

IoT Azure AWS Transportation 141

Protera

SEPTEMBER 25, 2018

Basic factors like hosting costs, scalability and agility just make on premise to cloud migration the logical choice. New tools support better analytics, IoT, integration, machine learning, artificial intelligence and big data. Cloud innovation in other areas has been just as rapid.

Cloud 58

Cloud Off-The-Shelf Artificial Inteligence Serverless 58

Apiumhub

JANUARY 10, 2019

Machine learning and AI-powered projects have been talked of the town for a long time now. Tech-savvy Marketers are harnessing the potential of AI to enable augmented revenue with scalable growth and of course, personalized customer experiences. Bonus Read: Tips And Tools For Analysing Big Data. #2.

Artificial Inteligence 51

Artificial Inteligence Trends Artificial Intelligence Machine Learning 51

Apiumhub

JANUARY 30, 2019

Lately, people started to understand the importance of quality software and scalability became one of the top priorities for ecommerce managers. Big Data analytics. With millions of customers buying products online, there is an infinite amount of data that generates every day. Machine Learning for Automation.

eCommerce 42

eCommerce Artificial Inteligence Artificial Intelligence Machine Learning 42

Sunflower Lab

JANUARY 9, 2019

Let’s take a look at some of the key factors to determine whether to build or buy custom software: Size of business and scalability. IoT, Machine Learning, Big Data analytics etc. Whereas, off-the-shelf software proves costlier at a later stage due to its higher licensing costs.

Off-The-Shelf 58

Off-The-Shelf Software Review Technical Advisors Software 58

Gorilla Logic

OCTOBER 2, 2019

For many businesses, IoT has rapidly become a powerful “weapon of mass disruption.” 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

Altexsoft

JULY 18, 2023

These seemingly unrelated terms unite within the sphere of big data, representing a processing engine that is both enduring and powerfully effective — Apache Spark. Maintained by the Apache Software Foundation, Apache Spark is an open-source, unified engine designed for large-scale data analytics. Big data processing.

Weak Development Team 52

Weak Development Team Big Data Data Machine Learning 52

Mobilunity

MAY 20, 2021

The main benefits are scalability and efficiency – it can support billions of various devices simultaneously. There are 175 different services available, and it also incorporates AI, machine learning, and 5G. One of the main advantages is that it works great with open-source software and incorporates machine learning.

Engineering 52

Engineering Cloud Google Cloud Azure 52

Altexsoft

JUNE 26, 2023

While today’s world abounds with data, gathering valuable information presents a lot of organizational and technical challenges, which we are going to address in this article. We’ll particularly explore data collection approaches and tools for analytics and machine learning projects. What is data collection?

Machine Learning 52

Machine Learning Artificial Inteligence Data Systems Review 52