Artificial intelligence is getting ready for business, but are businesses ready for AI?

Data Science and advanced analytics have arrived, but Data science is the easy part. Getting the right data, and getting the data ready for analysis, is much more difficult. Without a data strategy besides the analytics strategy, the enterprises will keep failing in implementing Data Science at almost 90% (Gartner). 

To summarize, there are several reasons for the failures:
1.	Insufficient, Biased, or Conflicting Data
2.	Understanding the Business and the Business Problem
3.	Poor communication and lack of transparency
4.	Lack of Standardization
5.	Poor Project Management. Using methodologies that don’t fit Data Science projects.
6.	Excessive Focus on Technology

SmartStreams is a Data-Driven Project Management Platform that supports and enforces an appropriate methodology and collaboration between project teams. SmartStreams is planned to become the backbone of Enterprise-AI. SmartStreams addresses all the above reasons to fail.

SmartStreams features:
1.	Adapts to all Project Management methodologies - CRISP-DM, TDSP, CPMAI.
2.	Supports Business understanding, Data understanding, and Data Preparation stages.
3.	Provides tools for:
o	Data Exploration algorithms, including UCC, Functional and Inclusion Dependencies, Denial Constraints, and  Schema Normalization.
o	Pre-build transformations for dimensionality reduction.
o	Provides built-in tools for data re-engineering.
o	No programming required.
4.	Data Profile Management and compliance validation.
5.	Generates Statistical Data Samples using several sampling methods.
6.	Data Validation Rules Management at Entity and Product level.
7.	Applies and Monitors Data Validations Rules on input/output Entities for each job that access Data.
8.	Built-in connector for Data Preparation tools.
9.	Built-in connector for Version Control and CI/CD tools.

Get more information about SmartStreams and the benefits of using the product on our site.

SmartStreams

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