New York (NYC) - Midtown Manhattan - Park Ave.

E48-49th (Grand Central), 299 Park Avenue, New York City, united states, 10171

The venue is located in between the Waldorf Astoria and J.P. Morgan and Chase.

New York (NYC) - Midtown Manhattan - Madison Ave.

E38-39th, 260 Madison Ave., New York, united states, 10016
The venue is located just opposite of Madison Av & E 38 St bus stop and Zuma NYC, in the same building as Chase Bank.

Explore Our Courses

Cognitive Computing: An Introduction for Business Managers

7 Hours
Cognitive computing refers to systems that encompass machine learning, reasoning, natural language processing, speech recognition and vision (object recognition), human–computer interaction, dialog and narrative generation, to name a few. A cognitive computing system is often comprised of multiple technologies working together to process in-memory 'hot' contextual data as well as large sets of 'cold' historical data in batch. Examples of such technologies include Kafka, Spark, Elasticsearch, Cassandra, and Hadoop. In this instructor-led, live training, participants will learn how Cognitive Computing compliments AI and Big Data and how purpose-built systems can be used to realize human-like behaviors that improve the performance of human-machine interactions in business. By the end of this training, participants will understand:
  • The relationship between cognitive computing and artificial intelligence (AI)
  • The inherently probabilistic nature of cognitive computing and how to use it as a business advantage
  • How to manage cognitive computing systems that behave in unexpected ways
  • Which companies and software systems offer the most compelling cognitive computing solutions
Audience
  • Business managers
Format of the course
  • Lecture, case discussions and exercises
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Testimonials (10)

The training definitely backfilled some of the gaps in my knowledge left by reading the OptaPlanner userguide. It gave me a good broad understanding of how to approach using OptaPlanner in our projects going forward.

Terry Strachan - Exel Computer Systems plc
Course - OptaPlanner in Practice

examples and exercises

Kamil
Course - Introduction to Data Science and AI using Python

Machine Translated

The course is very interesting being the main focus nowdays

mohamed taher - FAB banak Egypt
Course - Introduction to Data Science and AI (using Python)

Ahmed was very interactive and didn’t mind answering any kind of questions Well presentation and smooth flow of the course

Mohamed Ghowaiba - FAB banak Egypt
Course - Introduction to Data Science and AI (using Python)

Helpful and good listener .. interactive

Ahmed El Kholy - FAB banak Egypt
Course - Introduction to Data Science and AI (using Python)

All the information presented

Jose Victor - si
Course - Artificial Intelligence (AI) for Managers

The exercises and examples presented.

Marcos - si
Course - Artificial Intelligence (AI) for Managers

Machine Translated

Machine Learning Themes

Víctor Edgar - si
Course - Artificial Intelligence (AI) for Managers

The teacher's attitude

Ivonne Guadalupe Avendaño Hernandez - si
Course - Artificial Intelligence (AI) for Managers

Machine Translated

The concepts taught were clear, practical and help a lot in getting an idea of how to use this AI & ML topic.

Miguel - si
Course - Artificial Intelligence (AI) for Managers

Machine Translated

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