Cognitive Computing: Company presentation by Jan Buss, Cortex at the NOAH Conference Berlin 2019, 13-14 June, STATION.

1. Understanding cognitively
„The difficulty lies not so much in
developing new ideas as in escaping from
old ones.“
- John Maynard Keynes -

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3. 2Quelle: S.A.R.L. Martin, 2014
Areas of problems / silo sources
How improve digitalisation, IoT?

4. Digitization requires a new technologie paradigm!
Challenges:
Processes & Analytics for Transparency in the Value Chain
SAP BOM relationship knowledge
ü Relationships and dependencies between
complex data structures (Single Point of Truth /
Golden Record)
ü Constantly increasing amounts of data (Big Data)
ü Validity time & transaction time of data
(bitemporal data storage)
ü Flexible integration of many (silo) data sources
ü Consolidation of operating and analysis systems
ü Constantly changing processes in the business
unit (agility)

5. 4
Diverse & complex data structures from many sources challenge the DWH to its limits
Constant changes in the data lead to redundancies (historization)
Digital operative processes are technical impossible to implement
Very long implementation times cause very high IT operating and project costs (TCO)
Strong dependence of the business on IT department
Problems of today's BI & Data Warehouse (DWH)
More flexibility and analysis speed for the business unit

6. How can business and IT departments successfully
solve the increasingly demanding requirements of
processes and analytics in the future?
CortexPlatform
Inspired by findings from brain research

7. Flexible object based management
of information from any sources
All data are linked to each other
(Semantic graph networking)
Automatic universal indexing (6NF)
cognitive search and selection on all data
Hybrid Transaction Analytical Processing: No separation
between operational and analytical platforms
Complience: All data and processes are
timestamped and signed (Blockchain)
Little hardware and workflow
requirements (Green IT)
A new paradigm inspired by the human brain
Information Context Management System (ICMS)
Free Structure
Synapse Concept
Context Engine
HTAP
Traceability
Low Footprint
6

8. Semantic network from all data sources
Analyses & workflows without DWH processes (ETL)
Factory
Location
ArticleInvoice
Corporation
Customer
Invoice recipient
Bill of materials
(BOM)
Order
Principal
Product
1. Networking of all data (master &
transaction data) from different sources
(silo sources)
2. Cognitive search like in the human brain
3. Determination of results using any
combination of parameters
Spedition

9. 8
CortexPlatform: Information Context Framework
^
Import layer
CortexImplex
Information Context Engine
CortexDB
Application layer
CortexUniplex
๏ Data modelling
๏ Cognitve searching & selecting
๏ Security design
๏ Visualization & Analytics
CORTEX PLATFORM
CortexImplex API CortexDB API CortexUniplex API

10. * based on customer statement compared to current standard relational SQL-based technologies
-90% Costs* 20 times higher productivity Faster Time to Market
๏ Low Total Cost of Ownership (TCO)
๏ One system for all applications
(operational and analytical)
๏ Low Footprint
๏ Higher agility
๏ Shorter customization times
๏ Usable by business departments
๏ New value propositions
๏ Short project runtimes
๏ Less interfaces
CortexPlatform: Value Proposition

11. 10
Cortex references
GDPR secure vehicle identification
and consent management platform for
digital car data and business services

12. The New Generation of Data Warehouse
affordable ● fast ● self-service