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Artificial Intelligence (AI) and Machine Learning (ML) are two very hot buzzwords right now, and often seem to be used interchangeably. Artificial Intelligence is the broader concept of machines being able to carry out tasks in a way that we would consider “smart”. Artificial intelligence (AI) is the ability of a computer program or a machine to think and learn. It is also a field of study which tries to make computers "smart". As machines become increasingly capable, mental facilities once thought to require intelligence are removed from the definition.

Machine learning is a subset of AI. That is, all machine learning counts as AI, but not all AI counts as machine learning. For example, symbolic logic – rules engines, expert systems and knowledge graphs – could all be described as AI, and none of them are machine learning. AIML is used to create or customize Alicebot which is a chat-box application based on A.L.I.C.E. (Artificial Linguistic Internet Computer Entity) free software.

Easystepin Capability
Success Stories
We have team on AI/ML needs using Amazon Lex, RASA Framework, Microsoft Bot Framework, IBM Watson Framework.
Easystepin's AI/ML, together with a unique continuous improvement methodology, simplifies routine and repetitive processes for clients.
Have technical skills on Python, supervised Learning Algorithm, unsupervised Learning Algorithm, Slack, NLU, Tensorflow.
This includes automating labor-intensive and error-prone back office tasks like data entry, account creation and data processing.
We have done 2 Innovative POC's.
We have used tools like Automation Anywhere, Blue Prism, UI Path, Work Fusion, Open Span as well as proprietary engines along with our knowledge of legacy systems and experience in business process management to improve process efficiency and reduce human intervention.
We have started working on AI/ML from 2018 .
We have a rapid increase in the overall company growth from 2017.
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