Apiumhub

JUNE 22, 2021

Data Innovation Summit topics. Data Innovation Summit: networking platform. The Data Innovation Summit is a great opportunity not only to learn but to meet your peers from other organisations, industries and sectors in the Nordic and beyond. Data Innovation Summit: schedule.

Innovation 82

Innovation Data Technical Review Artificial Inteligence 82

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. Marcus Borba is a Big Data, analytics, and data science consultant and advisor. Ben Lorica.

Artificial Inteligence 109

Artificial Inteligence Technical Advisors Data Machine Learning 109

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

Hu's Place - HitachiVantara

JANUARY 3, 2019

Public cloud, agile methodologies and devops, RESTful APIs, containers, analytics and machine learning are being adopted. ” Deployments of large data hubs have only resulted in more data silos that are not easily understood, related, or shared. Building an AI or machine learning model is not a one-time effort.

Trends 86

Trends Artificial Inteligence Data Center Machine Learning 86

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 Artificial Inteligence 52

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.

Trends 72

Trends Cloud IoT Artificial Inteligence 72

Cloudera

DECEMBER 20, 2022

For this reason, the need to have a data platform that allows for a fine-tuned analysis and prediction of supply and demand becomes a necessary tool to operate the business in a more efficient and profitable way. Intelligent network management. Explore operational efficiencies with our Federated Learning Machine Learning Prototype.

Energy 82

Energy Analytics Data Artificial Inteligence 82

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. Delivering value in connected logistics.

Analytics 52

Analytics Data IoT Trends 52

Hu's Place - HitachiVantara

NOVEMBER 11, 2018

Hybrid clouds must bond together the two clouds through fundamental technology, which will enable the transfer of data and applications. REAN Cloud is a global cloud systems integrator, managed services provider and solutions developer of cloud-native applications across big data, machine learning and emerging internet of things (IoT) spaces.

Cloud 78

Cloud Google Cloud Azure AWS 78

Apiumhub

APRIL 5, 2022

M2- Data Engineering Stage: Technical track focusing on agile approaches to designing, implementing and maintaining a distributed data architecture to support a wide range of tools and frameworks in production. Presentations by some of the leading experts, researchers and practitioners in the area.

Innovation 52

Innovation Data Artificial Inteligence Case Study 52

Altexsoft

DECEMBER 9, 2020

Diagnostic analytics identifies patterns and dependencies in available data, explaining why something happened. Predictive analytics creates probable forecasts of what will happen in the future, using machine learning techniques to operate big data volumes. Introducing data engineering and data science expertise.

Analytics 102

Analytics Technical Review Technology Applications 102

Hu's Place - HitachiVantara

JANUARY 15, 2019

When the formation of Hitachi Vantara was announced, it was clear that combining Hitachi’s broad expertise in OT (operational technology) with its proven IT product innovations and solutions, would give customers a powerful, collaborative partner, unlike any other company, to address the burgeoning IoT market.

Systems Review 72

Systems Review Storage System Software Review 72

O'Reilly Media - Ideas

MAY 1, 2019

Get hands-on training in machine learning, blockchain, cloud native, PySpark, Kubernetes, and many other topics. Learn new topics and refine your skills with more than 160 new live online training courses we opened up for May and June on the O'Reilly online learning platform. AI and machine learning.

Course 45

Course Training Artificial Inteligence Machine Learning 45

Altexsoft

APRIL 13, 2023

But of course, you can only share data you have yourself – so higher visibility leads to higher transparency. Supply chain mapping means gathering information about your suppliers and partners and creating a map of your business network. The readings from IoT sensors and other connected devices (e.g.,

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. CIO 100, Digital Transformation, Healthcare Industry, Predictive Analytics

Artificial Inteligence 329

Artificial Inteligence Analytics Artificial Intelligence Machine Learning 329

BPM

JANUARY 18, 2019

The current Artificial Intelligence (AI) fascination is unfortunately completely biased on Deep Neural Networks (DNN) and Machine Learning (ML) for everything. 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.

Artificial Inteligence 111

Artificial Inteligence Artificial Intelligence Machine Learning Weak Development Team 111

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. This can be anything from CRMs to AI-powered chatbots to IoT systems. Who reports to whom? Attract talent.

CTO 52

CTO Organization Technical Review Culture 52

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. . Networking and content delivery.

Azure 52

Azure AWS Cloud How To 52

ParkMyCloud

JANUARY 17, 2020

AWS Certified Advanced Networking – Speciality . Intended for individuals who perform intricate networking tasks. Design and maintain network architecture for all AWS services. Leverage tools to automate AWS networking tasks. AWS Certified Big Data – Speciality. Azure Data Scientist Associate.

Google Cloud 9

Google Cloud Azure AWS Cloud 9

O'Reilly Media - Ideas

MARCH 6, 2019

Get hands-on training in machine learning, AWS, Kubernetes, Python, Java, and many other topics. Learn new topics and refine your skills with more than 170 new live online training courses we opened up for March and April on the O'Reilly online learning platform. AI and machine learning.

Course 10

Course Artificial Inteligence Training Microservices 10

O'Reilly Media - Ideas

SEPTEMBER 11, 2019

Machine learning, artificial intelligence, data engineering, and architecture are driving the data space. The Strata Data Conferences helped chronicle the birth of big data, as well as the emergence of data science, streaming, and machine learning (ML) as disruptive phenomena.

Conference 8

Conference Data Data Engineering Artificial Inteligence 8

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.

Weak Development Team 52

Weak Development Team Big Data Data Artificial Inteligence 52

Confluent

JUNE 7, 2019

Our data science team uses KSQL to experiment with raw or lifted streams to ultimately deploy new machine learning models ( using custom user-defined functions ) without writing a single line of Java code. The Confluent Platform is an amazing toolbox, which every architect and data engineer should know of and utilize.

Blockchain 90

Blockchain Data Technical Review Software Review 90

Altexsoft

AUGUST 22, 2022

A data fabric is an architecture design presented as an integration and orchestration layer built on top of multiple disjointed data sources like relational databases , data warehouses , data lakes, data marts , IoT , legacy systems, etc., to provide a unified view of all enterprise data.

Architecture 52

Architecture Artificial Inteligence Technical Review Data 52

Altexsoft

MAY 14, 2021

To understand Big Data, you need to get acquainted with its attributes known as the four V’s: Volume is what hides in the “big” part of Big Data. This relates to terabytes to petabytes of information coming from a range of sources such as IoT devices, social media, text files, business transactions, etc. billion data points.

Big Data 78

Big Data Analytics Tools Applications 78

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

MARCH 14, 2023

That’s why some MDS tools are commercial distributions designed to be low-code or even no-code, making them accessible to data practitioners with minimal technical expertise. This means that companies don’t necessarily need a large data engineering team. Data democratization. Data sources component in a modern data stack.

Data 59

Data Technical Review Software Review Artificial Inteligence 59