Apiumhub

FEBRUARY 6, 2023

In this event, hundreds of innovative minds, enterprise practitioners, technology providers, startup founders, and innovators come together to discuss ideas on data science, big data, ML, AI, data management, data engineering, IoT, and analytics.

Innovation 83

Innovation Data Machine Learning Artificial Inteligence 83

Apiumhub

JUNE 22, 2021

The programme is refreshed with great new speakers and case studies from some of the most innovative companies around the world. Data Innovation Summit topics. The programme consists of seven stages including the Data Octagon programme, Data After Dark show, TIP session blocks, networking activities, and much more.

Innovation 84

Innovation Data Technical Review Artificial Inteligence 84

CTOvision

FEBRUARY 23, 2017

This is the place to dive deep into the latest on Big Data, Analytics, Artificial Intelligence, IoT, and the massive cybersecurity issues in all those topics. You'll dissect case studies, develop new skills through in-depth tutorials, share emerging best practices in data science, and imagine the future.

Big Data 61

Big Data Artificial Intelligence Artificial Inteligence Case Study 61

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. Data siloes.

Technical Review 59

Technical Review Software Review Analytics Systems Review 59

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

Altexsoft

MARCH 31, 2020

These can be data science teams , data analysts, BI engineers, chief product officers , marketers, or any other specialists that rely on data in their work. The simplest illustration for a data pipeline. Data pipeline components. Data pipeline components. When do you need a data pipeline?

Data 76

Data Storage Analytics Data Center 76

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