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

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 281

Artificial Inteligence Strategy Data Machine Learning 281

Kentik

JANUARY 3, 2018

Looking into Network Monitoring in an IoT enabled network. This allows businesses to take advantage of the many technologies that now enable greater speed and agility, and ultimately promise more revenue. 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

OTS Solutions

JULY 18, 2023

By leveraging modern technologies and methodologies, they can streamline their operations, reduce costs, and improve agility. In recent years, the rise of cloud computing , the Internet of Things (IoT) , and big data analytics has transformed the way organizations approach digital engineering.

DevOps 130

DevOps Engineering Artificial Inteligence Software Review 130

OTS Solutions

JULY 18, 2023

By leveraging modern technologies and methodologies, they can streamline their operations, reduce costs, and improve agility. In recent years, the rise of cloud computing , the Internet of Things (IoT) , and big data analytics has transformed the way organizations approach digital engineering.

DevOps 130

DevOps Engineering Artificial Inteligence Software Review 130

Cloudera

JANUARY 26, 2022

Modern, real-time businesses require accelerated cycles of innovation that are expensive and difficult to maintain with legacy data platforms. The hybrid cloud’s premise—two data architectures fused together—gives companies options to leverage those solutions and to address decision-making criteria, on a case-by-case basis. .

Cloud 88

Cloud Data Architecture Operating System 88

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. Companies need to find ways to get this cost down while improving the quality of data. .

Infrastructure 64

Infrastructure Data Retail Analytics 64

Openxcell

JANUARY 6, 2023

PaaS solutions must include readily available programming components that let programmers add new functionality to their apps, including cutting-edge technologies like artificial intelligence (AI), chatbots, blockchain, and the Internet of Things (IoT). The architect’s job is to make sure that all of these components function harmoniously.

Architecture 52

Architecture Cloud Storage Google Cloud 52

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

Trigent

FEBRUARY 15, 2023

Big Data / Fast Data – Do I need both? Big data is the vast amounts of structured and unstructured data generated from customer interactions, IoT devices, social media, and more. Big data insights are used to identify market trends, determine value propositions, and influence product design.

Data 52

Data Insurance Technical Review Big Data 52

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

Apiumhub

JULY 3, 2018

Whether you’re a local, new in town, or just passing through, you should definetely go to tech events here, as Barcelona made it to the top 5 of innovation hubs and in this city you will find events related to startups , mobile , smart cities , iot , big data , software development , software architecture , blockchain and many many others.

Agile 104

Agile Innovation Conference Case Study 104

Cloudera

AUGUST 3, 2021

Toyota weathered the early chip shortage well with agile and robust supply chains, only to be caught with final assembly production shortages due to consumers rushing to their once robust availability. . providing real-time insights into inventory, replenishment and ultimately a distribution plan addressing customer demand.

Analytics 109

Analytics Open Source Government Machine Learning 109

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. SOLID Principles of Object-Oriented and Agile Design , January 11. Reactive Spring Boot , January 7.

Artificial Inteligence 105

Artificial Inteligence Course Training Blockchain 105

IDC

JULY 23, 2019

In contrast, spending on 3rd Platform technologies (cloud, mobility, Big Data, and social) and innovation accelerators is projected to soar by around 15% from 2019–2022. CX may use hyperscale or multicloud platforms to support data and omni-channel integration. Overall ICT spending in Europe is forecast to rise by 3.0%

IoT 45

IoT Artificial Intelligence Artificial Inteligence Big Data 45

O'Reilly Media - Ideas

APRIL 3, 2019

Spotlight on Data: Creating Smart Products Requires Collaboration, with Gretchen Anderson , April 15. Agile for Everybody , April 18. Data science and data tools. Apache Hadoop, Spark, and Big Data Foundations , April 22. Data Structures in Java , May 1. Cleaning Data at Scale , May 13.

Course 48

Course Artificial Inteligence Training Google Cloud 48

O'Reilly Media - Ideas

MAY 1, 2019

Spotlight on Data: Caching Big Data for Machine Learning at Uber with Zhenxiao Luo , June 17. Core Agile , May 9. Spotlight on Data: Data as an Asset with Friederike Schüür and Jen van der Meer , May 20. Agile for Everybody , June 19. Core Agile , July 10. Data science and data tools.

Course 46

Course Training Artificial Inteligence Machine Learning 46

Trigent

APRIL 14, 2022

With upcoming 5G rollouts, massive IoT networks, mmWave, and network slicing requirements, their cloud and edge capabilities will be of an entirely different scale. AIOps is a set of methods or practices that makes rapid data processing possible for vast volumes of data, which then feed into an ML engine to predict issues.

Enterprise 52

Enterprise Technology Artificial Inteligence IoT 52

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 84

Innovation Data Technical Review Artificial Inteligence 84

Hu's Place - HitachiVantara

JANUARY 3, 2019

Public cloud, agile methodologies and devops, RESTful APIs, containers, analytics and machine learning are being adopted. Trend 3: Increasing Data Requirements Will Push Companies to The Edge with Data Enterprise boundaries are extending to the edge – where both data and users reside, and multiple clouds converge.

Trends 86

Trends Artificial Inteligence Data Center Machine Learning 86

Trigent

MARCH 24, 2021

Integrating AI into IT operations or AIOps has empowered IT teams to perform complex tasks with ease and resolve agility issues in complex settings. 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.

Artificial Inteligence 52

Artificial Inteligence Artificial Intelligence Machine Learning Infrastructure 52

Trigent

MARCH 24, 2021

Integrating AI into IT operations or AIOps has empowered IT teams to perform complex tasks with ease and resolve agility issues in complex settings. 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.

Artificial Inteligence 52

Artificial Inteligence Artificial Intelligence Machine Learning Technical Review 52

O'Reilly Media - Ideas

JANUARY 2, 2019

Artificial Intelligence for Big Data , February 26-27. Agile for Everybody , February 20. Data science and data tools. Apache Hadoop, Spark, and Big Data Foundations , January 15. SQL Fundamentals for Data , February 19-20. Apache Hadoop, Spark and Big Data Foundations , February 21.

Course 60

Course Artificial Inteligence Training Blockchain 60

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. And the agility of this model is helping innovators innovate and developers develop. Home-based big data solutions that are easy to configure and manage will make their appearance.

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

Xicom

NOVEMBER 19, 2020

Headless is the most effective and future-proof way of creating a commerce platform for the agile and experience-driven era. In the past few years, the USA has focused a lot on the proliferation of analytics and Big Data. Hybrid cloud architecture. Digital Transformation 1 – Headless Tech Reshapes Commerce.

Mobile 98

Mobile Weak Development Team Development Blockchain 98

Cloudera

JULY 9, 2019

Today, much of that speed and efficiency relies on insights driven by big data. Yet big data management often serves as a stumbling block, because many businesses continue to struggle with how to best capture and analyze their data. Unorganized data presents another roadblock.

Big Data 78

Big Data Data Agile Enterprise 78

Actian

JULY 26, 2019

A modernization project, done correctly can deliver compelling and predictable results to your organization including millions in cost savings, new analytics capabilities and greater agility. But how do you effectively go about choosing the right data warehouse to migrate to? The business benefits of data migration can be compelling.

Cloud 40

Cloud Data Analytics Case Study 40

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

Coforge

AUGUST 31, 2020

The drastic shift from traditional and orthodox system frameworks and operations can be unarguably attributed to the influx of intelligent technologies such as Artificial Intelligence, Machine Learning, Big Data, Blockchain/DLT led smart contracts, and widespread usage of cloud systems. .

Insurance 40

Insurance Technology Artificial Inteligence Policies 40

Altexsoft

APRIL 13, 2023

Due to extensive usage of connected IoT devices and advanced processing technologies, SCCTs not only gather data and build operational reports but also create predictions, define the impact of various macro- and microeconomic factors on the supply chain, and run “what-if” scenarios to find the best course of action.

Technical Review 59

Technical Review Software Review Analytics Systems Review 59

CIO

OCTOBER 18, 2023

German healthcare company Fresenius Medical Care, which specializes in providing kidney dialysis services, is using a combination of near real-time IoT data and clinical data to predict one of the most common complications of the procedure. This shift in attitude and expectations needed to come top down and bottom up,” he says.

Artificial Inteligence 333

Artificial Inteligence Analytics Artificial Intelligence Machine Learning 333

Cloudera

JANUARY 22, 2019

In conjunction with the evolving data ecosystem are demands by business for reliable, trustworthy, up-to-date data to enable real-time actionable insights. Big Data Fabric has emerged in response to modern data ecosystem challenges facing today’s enterprises. What is Big Data Fabric? Data access.

Big Data 45

Big Data Scalability Data Analytics 45

CTOvision

DECEMBER 15, 2014

Big data is an evolving term that describes any voluminous amount of structured, semi-structured and unstructured data that has the potential to be mined for information. Although big data doesn’t refer to any specific quantity, the term is often used when speaking about petabytes and exabytes of data.

Security 120

Security Government Technology Artificial Intelligence 120

Openxcell

MARCH 22, 2023

The healthcare industry gains a lot from integrating cutting-edge technology like AI, Big Data, and IoT. These technologies offer agility to boost healthcare organizations’ operational effectiveness and enhance patients’ overall experiences. Technology such as Big Data, IoT, Web 3.0,

Healthcare 52

Healthcare Trends Technical Review VR 52

BPM

JANUARY 18, 2019

Now we’re seeing AI dominating the conversations (without a lot of actual adoption in the early majority), and RPA creating a lot of buzz, though companies adopting it are starting to realize that scaling an RPA based automation architecture is flawed by design. This requires a new architecture capable of true scale and speed.

Artificial Inteligence 111

Artificial Inteligence Artificial Intelligence Machine Learning Weak Development Team 111

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. Assemble the data team. Cost control. Shipment tracking and vehicle maintenance.

Business Intelligence 87

Business Intelligence Analytics Analysis Data 87