Apidays Paris 2023 - AI at the Service of Data, Kamel Tansaout, Marjory

Apidays Paris 2023 - Software and APIs for Smart, Sustainable and Sovereign Societies
December 6, 7 & 8, 2023

AI at the Service of Data
Kamel Tansaout, CEO at Marjory

------

Check out our conferences at https://www.apidays.global/

Do you want to sponsor or talk at one of our conferences?
https://apidays.typeform.com/to/ILJeAaV8

Learn more on APIscene, the global media made by the community for the community:
https://www.apiscene.io

Explore the API ecosystem with the API Landscape:
https://apilandscape.apiscene.io/

Transcript

1. 1 2023 Apidays Talk by marjory
2. 2 2023 Kamel Tansaout CEO, Marjory Thinking the future: AI powered Data
3. 3 ESB App Interconnection Make enterprise data integration and automation technically and financially affordable Our mission EBO Event-based triggering RPA Automated processes based on business rules ETL Data aggregation iPaaS App Connector BPM Process editor based on BPM best practices
4. 4 A platform to streamline all your data management process. Fast and scalable data integration Data connectivity and business process automation to improve operational efficiency. Supporting business growth Eliminate friction to promote growth, thanks to a reliable, scalable and secure platform. Modern, hybrid platform Data flow between Cloud solutions and legacy systems, enabling seamless interaction between services. All-in-one SaaS Middleware Cost-effective Pricing plan to suit all needs.
5. 5 Build service orchestration with minimal effort. Manual, scheduled and event-based orchestration functions. Middleware Saas All-in-one Operating observability for all data flows executions.
6. 6 Data powered AI
7. 7 Data, the heart and blood of AI No data, No AI!
8. 8 Proliferation of data has fueled for the rise of AI Massive collection and storage of data + Multiple sources = Opportunities for learning and training AI models Data at service of AI In 2025, global data creation is projected to grow to more than 180 zettabytes! Sources: Statista
9. 9 How AI can improve data quality?
10. 10 Quality of data and qualitative data Data relevance Data accuracy Data Source Data collection Distribution
11. 11 Virtuous circle of AI & data Data improving AI AI improving data
12. 12 Quality of data and qualitative data Data relevance Data accuracy Data Source Data collection Distribution
13. 13 From Passive Monitoring to Active Observability Automated anomaly detection Preventive maintenance by AI Active Observability
14. 14 AI observability for e-commerce AI for action Proactive recommendation: Blacklist suspect IPs AI for prevention Preventive alerting “Weak Signal” detected from activity reports Abnormal peak in activity Data collection analysis Fraudulent IPs discovered
15. 15 Dynamic and adaptive observability Real-time data analysis to detect trends, anomalies and evolutions Intuitive interaction, less technical constraints Natural language interaction for less dependence on coding or complex parameterization Strategic Decision Support By synthesizing complex data, it actively supports strategic choices for data integration AI as a copilot for data integration
16. 16 No predefined models Adaptation to assimilate and optimize your company's operational processes Evolution in understanding Adaptation to your objectives and your processes Personalized AI training Each company will operate custom-trained AI based on its unique data and market requirements. Personal AI tailored to your business
17. 17 Join our workshop: Accelerate and master your API integration to meet business needs with Marjory Hosted by William Da Cunha CTO @ Marjory Room Aubepine 7 4.05PM
18. 18 CONTACTS Kamel TANSAOUT CEO kamel@marjory.co marjory.io Get started for free Come to see us at Booth #11