Agile Engine

DECEMBER 27, 2023

Case study: leveraging AgileEngine as a data solutions vendor 11. Key takeaways Any organization that operates online and collects data can benefit from a data analytics consultancy, from blockchain and IoT, to healthcare and financial services The market for data analytics globally was valued at $112.8

Big Data 52

Big Data Analytics Data Analysis 52

Apiumhub

JUNE 22, 2021

In this event you will gain insight into radical ideas that are already proven to provide ROI in some of the most data-driven and innovative companies in the world as well as learn how to accelerate AI-driven transformation. Data Innovation Summit topics. Data Innovation Summit: networking platform.

Innovation 83

Innovation Data Technical Review Artificial Inteligence 83

ParkMyCloud

MAY 29, 2019

As more and more enterprises drive value from container platforms, infrastructure-as-code solutions, software-defined networking, storage, continuous integration/delivery, and AI, they need people and skills on board with ever more niche expertise and deep technological understanding. IoT Engineer. Cloud Architect.

Trends 72

Trends Cloud IoT Artificial Inteligence 72

Apiumhub

APRIL 5, 2022

With over 1000 practical case studies presented on the past 6 editions and with new geo events in the MEA and the APAC region, the event is a worldwide movement, ushering the community of data, analytics and AI practitioners across functions, companies, industries, sectors, countries and regions to collaborate, benchmark, share and innovate.

Innovation 52

Innovation Data Artificial Inteligence Case Study 52

Trigent

NOVEMBER 3, 2022

Thankfully, it’s now a game for new technologies and leveraging structured and unstructured data like no other. The future of the global supply chain market lies in IoT, integrated solutions, data, and mobility. Connected logistics devices generate a massive amount of data. Optimized for more. Enhance transparency.

Analytics 52

Analytics Data IoT Trends 52

Mobilunity

DECEMBER 28, 2022

Some machine learning freelance engineers can also specialize in deep learning. This is a type of machine learning that uses artificial neural networks to learn patterns in data. Neural network development. IoT development. The Difference Between Machine Learning Engineers and Data Scientists.

Machine Learning 52

Machine Learning Artificial Inteligence Engineering How To 52

Hu's Place - HitachiVantara

JANUARY 15, 2019

This new company will unify the operations of these three companies into a single integrated business as Hitachi Vantara to capitalize on Hitachi’s social innovation capability in both operational technologies (OT) and information technologies (IT).

Systems Review 72

Systems Review Storage System Software Review 72

Hu's Place - HitachiVantara

NOVEMBER 11, 2018

Forbes notes that a full transition to the cloud has proved more challenging than anticipated and many companies will use hybrid cloud solutions to transition to the cloud at their own pace and at a lower risk and cost. This April, 47Lining, announced its Amazon Web Services (AWS) Industrial Time Series Data Connector Quick Start.

Cloud 78

Cloud Google Cloud Azure AWS 78

Cloudera

DECEMBER 20, 2022

Across the energy supply chain from generation to consumer, we can see that the trend toward investing in renewable energy has picked up pace as demand has grown for energy companies to actively pursue investments in energies with little or no environmental impact in the quest for decarbonisation. Data efficiency in renewables.

Energy 81

Energy Analytics Data Machine Learning 81

Apiumhub

APRIL 8, 2021

Ronald van Loon has been recognized among the top 10 global influencers in Big Data, analytics, IoT, BI, and data science. As the director of Advertisement, he works to help data-driven businesses be more successful. Schloss’s areas of expertise include Big Data, analytics, BI, IoT, and data warehousing.

Artificial Inteligence 109

Artificial Inteligence Technical Advisors Data Machine Learning 109

Altexsoft

MARCH 16, 2021

In general, a data infrastructure is a system of hardware and software tools used to collect, store, transfer, prepare, analyze, and visualize data. Check our article on data engineering to get a detailed understanding of the data pipeline and its components. Big data infrastructure in a nutshell.

Big Data 116

Big Data Healthcare Applications Data 116

Confluent

FEBRUARY 6, 2019

So why did Uber (and many other tech companies) build its own platform and framework-independent machine learning infrastructure? This blog post focuses on how the Kafka ecosystem can help solve the impedance mismatch between data scientists, data engineers and production engineers. For now, we’ll focus on Kafka.

Machine Learning 107

Machine Learning Artificial Inteligence Scalability Data Engineering 107

Hu's Place - HitachiVantara

JANUARY 3, 2019

2018 was a year of maturity for Digital Transformation, and most companies are committed to transforming their companies. ” Deployments of large data hubs have only resulted in more data silos that are not easily understood, related, or shared. Happy New Year and welcome to 2019, a year full of possibilities.

Trends 86

Trends Artificial Inteligence Data Center Machine Learning 86

Altexsoft

DECEMBER 9, 2020

In the era of global digital transformation , the role of data analysis in decision-making increases greatly. Still, today, according to Deloitte research, insight-driven companies are fewer than those not using an analytical approach to decision-making, even though the majority agrees on its importance. Stages of analytics maturity.

Analytics 102

Analytics Technical Review Technology Applications 102

Altexsoft

DECEMBER 4, 2020

So data migration is an unavoidable challenge each company faces once in a while. Transferring data from one computer environment to another is a time-consuming, multi-step process involving such activities as planning, data profiling, testing, to name a few. Three types of data migration tools. Functionality.

Software Review 69

Software Review Software Data Technical Review 69

Altexsoft

APRIL 13, 2023

The annual IHS Markit Supply Chain Survey Report found that 63 percent of companies don’t have sufficient technology to approach their top priority optimization strategy, i.e., spend analytics (the situation within other strategic areas is similar). increase customer satisfaction by giving real-time status updates; and so on.

Technical Review 59

Technical Review Software Review Analytics Systems Review 59

Altexsoft

AUGUST 29, 2023

Instead of relying on traditional hierarchical structures and predefined schemas, as in the case of data warehouses, a data lake utilizes a flat architecture. This structure is made efficient by data engineering practices that include object storage. Watch our video explaining how data engineering works.

Architecture 52

Architecture Data Storage Machine Learning 52

Altexsoft

OCTOBER 26, 2022

Today’s reality is that nearly every company needs to go digital. But the truth is that today’s companies can only be successful if they reach their customers via all possible channels. Truth be told, it’s often like this, especially with know-it-all specialists who work in smaller companies. It’s a never-ending journey.

CTO 52

CTO Organization Technical Review Culture 52

Altexsoft

OCTOBER 2, 2020

We’ll also talk about the data management platforms available on the market. What is data management and why is it vital for business growth? Data management is a set of practices for handling data collected or created by a company so that it can be used to make informed business decisions. Cost efficiency.

Database Administration 64

Database Administration Strategy Data Technical Review 64

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

Existek

JANUARY 11, 2022

At some point, cloud computing has changed how to streamline business processes and deal with data in general. It’s about the unique opportunity to create an entire network of different business areas located externally while being supported and maintained by a professional service provider. .

Azure 52

Azure AWS Cloud How To 52

O'Reilly Media - Ideas

MAY 1, 2019

Building Your LinkedIn Network , June 11. Data science and data tools. Practical Linux Command Line for Data Engineers and Analysts , May 20. First Steps in Data Analysis , May 20. Data Analysis Paradigms in the Tidyverse , May 30. Data Visualization with Matplotlib and Seaborn , June 4.

Course 46

Course Training Artificial Inteligence Machine Learning 46

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.

Artificial Inteligence 332

Artificial Inteligence Analytics Artificial Intelligence Machine Learning 332

BPM

JANUARY 18, 2019

The shocking reality however is that most companies don’t want to support knowledge workers - they want to replace them. The current Artificial Intelligence (AI) fascination is unfortunately completely biased on Deep Neural Networks (DNN) and Machine Learning (ML) for everything. Denis Gagne Trisotech [link].

Artificial Inteligence 111

Artificial Inteligence Artificial Intelligence Machine Learning Weak Development Team 111

Confluent

JUNE 7, 2019

We offer both historical and low-latency data streams of on-chain data across multiple blockchains. Apache Kafka ® is the central data hub of our company. The Confluent Platform is an amazing toolbox, which every architect and data engineer should know of and utilize. Why does on-chain data matter?

Blockchain 92

Blockchain Data Technical Review Software Review 92

Altexsoft

JULY 18, 2023

Its flexibility allows it to operate on single-node machines and large clusters, serving as a multi-language platform for executing data engineering , data science , and machine learning tasks. Before diving into the world of Spark, we suggest you get acquainted with data engineering in general. Machine learning.

Weak Development Team 52

Weak Development Team Big Data Data Machine Learning 52

Altexsoft

MAY 14, 2021

Not only does Big Data apply to the huge volumes of continuously growing data that come in different formats, but it also refers to the range of processes, tools, and approaches used to gain insights from that data. This post will draw a full picture of what Big Data analytics is and how it works. Data ingestion.

Big Data 78

Big Data Analytics Tools Applications 78

Altexsoft

SEPTEMBER 10, 2021

Yet, dealing with continuously growing volumes of data isn’t the only challenge businesses encounter on the way to better, faster decision-making. Information often resides across countless distributed data sources, resulting in data silos. To get a single unified view of all information, companies opt for data integration.

Tools 52

Tools Data Software Review Technical Review 52

Altexsoft

JUNE 7, 2021

Worker or Slave Nodes are the majority of nodes used to store data and run computations according to instructions from a master node. A Client Node also called a Gateway or Edge Node acts as an interface between a Hadoop cluster and an outside network. No real-time data processing. processing layer called MapReduce.

Big Data 98

Big Data Tools Data Storage 98

Altexsoft

AUGUST 22, 2022

With these challenges in enterprise data management, there has to be an approach to overcoming them, right? Gartner claims that there is such a solution capable of enabling companies to have advanced, flexible, and reusable data management across all environments. The solution is called a data fabric. Unified data access.

Architecture 52

Architecture Artificial Inteligence Technical Review Data 52

Altexsoft

MARCH 14, 2023

In this article, we will explore what a modern data stack is, how it’s different from traditional data stacks, the key components composing an MDS architecture, and examples of companies successfully implementing such solutions. What is a modern data stack? Modern data stack architecture. Data democratization.

Data 59

Data Technical Review Software Review Artificial Inteligence 59