Course introduction
There are only three types of companies: Data-driven companies, data-driven companies, and dying companies. Silicon Valley firmly believes in this. Even if you don’t believe in such a black-and-white future, leveraging data already divides companies into winners and losers. As early as 2016, a McKinsey study found that “data driven organizations are 23 times more likely to retain those customers, and 19 times as likely to be profitable as a result.”
Artificial intelligence significantly increases the competitive advantage of data-capable companies over data-capable ones. Artificial intelligence is data.
Despite its name, artificial intelligence is not intelligent, but it is already a very effective way to solve many of the business problems that were considered unresolved 5-10 years ago – if data describing the business problem is available.
Data-capable companies win over data-poor ones. Likewise, experts and managers who know how to take advantage of the potential of data such as artificial intelligence will beat their colleagues with only traditional strengths.
The training gives experts and supervisors a basic understanding of artificial intelligence and the ability to consider its effects in their own operations.
Training content:
- Why the importance of data has risen – breakthroughs in analytics, machine learning and artificial intelligence
Why all data is potentially valuable and usable.
The revolution in machine learning and artificial intelligence in brief.
Explained the terms and operation of machine learning.
- Towards learning practices
Artificial intelligence algorithms are not intelligent, but they are
The central Deep Learning algorithm of artificial intelligence in a simplified way.
What opportunities do learning algorithms bring when applied to business problems.
Learning practices from learning algorithms
- Change in the operational functions of the organization
Artificial intelligence enables continuous improvement in all organizational functions from production to customer service
Industry-specific and industry-independent examples
- Management change
Data-Based Management – What’s Changing?
Test: Can you think data-driven?
The changing nature of decision making: From the right answers to the right questions
Data strategy
- Implementation of new practices
Stages of an artificial intelligence project
The importance of defining a project goal and business problem. Most projects solve the wrong problem.
Pitfalls of projects
A cross-section of technologies and cloud services
