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 82

Innovation Data Machine Learning Artificial Inteligence 82

Agile Engine

DECEMBER 27, 2023

What to look for when hiring a data analytics consultancy 10. Case study: leveraging AgileEngine as a data solutions vendor 11. A data analytics consultancy has a team of specialists and engineers who perform data analytics for companies that don’t have the capacity to do it in-house. Conclusion 1.

Big Data 52

Big Data Analytics Data Analysis 52

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 83

Innovation Data Technical Review Artificial Inteligence 83

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

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

DECEMBER 9, 2020

Some other common methods of gathering data include observation, case studies, surveys, etc. Sometimes, a data or business analyst is employed to interpret available data, or a part-time data engineer is involved to manage the data architecture and customize the purchased software.

Analytics 102

Analytics Technical Review Technology Applications 102

Datavail

SEPTEMBER 8, 2022

According to an IDG survey , companies now use an average of more than 400 different data sources for their business intelligence and analytics processes. What’s more, 20 percent of these companies are using 1,000 or more sources, far too many to be properly managed by human data engineers. Conclusion.

Data 40

Data Nonprofit Quality Assurance Education 40