usually refers to data that can’t be effectively processed with traditional applications due the challenge of capturing, storing, transferring, querying, and updating data in such large amounts. While there’s no singular definition for it, people often refer to the 3 V’s of big data: Volume (the size of the data), Variety (data from different sources or in different formats) and Velocity (the speed at which data is generated and at which it needs to be available for processing).
The @Tutorial explores the strategic choices for new Business Models and operational Performance Improvements.
can be defined as a branch of computer science that aims to create intelligent machines.
That is, machines that emulate human performance typically by learning, understanding complex concepts, getting to conclusions or engaging in dialogues with people.
On the other hand, Machine Learning refers to one of the branches of AI that is based around the idea that we should really just be able to give machines access to data and let them learn for themselves.
And last but not least, Deep Learning refers to a part of a broader family of Machine Learning methods based on learning data representations focused on Neural Networks, as opposed to task-specific algorithms.
The @Tutorial shows how to develop a competitive Strategy for a Man-Machine Advantage by organizational change.
This @Tutorial will provide you with the insight into the following Module:
Module: Big Data and AI
>Creating the Man-Machine Advantage
Big Data & AI: Smart Connected Products
Co-Creating with AI
Big Data management
Data Science process
Predictive Analytics of Fleets
Big Data & AI as a Business
Man- Machine Advantage
Framework for implementing Big Data & AI
As this self-service @Tutorial is designed to address challenges and specific up-skilling needs on-demand.
Therefore, this provides a unique opportunity to come away from reviewing this @Tutorial with all the information you need.