Cognitive Computing Training in Federal District

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