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
Format of the course
- Lecture, case discussions and exercises