Presentations
The growing availability of big data platforms and big data analytics tools [see AI and BI] is helping organizations gather and analyze data in search of valuable business information and insights that can help them improve their products and services.
Open Source is now the world's largest software industry. You measure its value in the savings people are making in license fees which add no value to the product and are purely a transfer of wealth from consumers to software vendors. Ref. Computer World.
Applications of AI: Expert systems, knowledge Engineering, data analysis and heuristics [classifying information in one of a fixed set of categories using several sources of information]. The World’s First Artificial-Intelligence Manager.
Free Cloud Computing and Google Apps Used: Docs, Drive, Fusion Tables, ReqView, GitHub, Kanbanchi, etc
- Screenshots
- The 10 Algorithms Machine Learning Engineers Need to Know
- How big data analytics tools can help your organization
- How to determine if data analytics tools are right for you
- Comparing the leading big data analytics software options
- The top big data products
Cloud Computing, Analytics, Free/Open Source, QMS, Machine Intelligence
- IBM Analytics
- Google Cloud Platform
- Google Applications Cloud Computing
- Google Analytics
- Open Source CRM
- Open Source ERPs
- ReqView - System Requirements Management
- ISO 9001, AS9100
- The Three Breakthroughs That Have Finally Unleashed AI on the World
- IBM a 'cognitive solutions in a cloud platform' company
- Workflow management
- Using AI for PA [preventive actions]
- Using AI for diagnosis, instructions, procedures
- Content management systems
- Big and unstructured data processing and analytics
- Complex Adaptive Systems (CAS)
Supported Systems:
GitHub
CRM [vs salesforce] , ERP [vs SAP, Oracle, MS Dynamics]
ISO 9001:2015 new structure