Customer Insights: It's time to get personal

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During this webinar, Qassem Naim, Head of Data and Tech at FCB NZ (one of the largest global advertising agencies) joined us to discuss how excellent customer experience starts by getting personal. To do this right, it is important to understand how each customer interacts with your business. We then looked at how the Dynamics 365 Customer Insights platform can help you unify customer data from any touchpoint and personalise the buying experience for each customer through AI-driven insights and recommendations. For more information visit https://www.empired.com/ReimagineWork/ #ReimagineWork

Technology

CUSTOMER INSIGHTS
It’s time to get personal
IN ASSOCIATION WITH

Introducing your speakers…
Travis Barker
GM Market Development
Data & AI
Qassem Naim
Head of Data & Tech
FCB NZ
Rowan Miller
Solution Sales Manager
Business Applications
Anthony Cipolla
Principal Consultant
Digital, Data & AI

Microsoft Dynamics 365
Customer Insights

Example scenario – Retail - loyalty and eCommerce
Web Loyalty Mobile App Wi-Fi
Weather
Data
Jeff J SmithGeoff SmithGeoff Smith
Third Party
Microsoft
Cloud
3rd Party
Cloud
3rd Party
Cloud
Microsoft
Cloud
Microsoft
Cloud
3rd Party
Cloud
Internally
Hosted
Unified profiles, activities & insights
Geoff Smith

Dynamics 365 Customer Insights Demo
Unify - Map

Dynamics 365 Customer Insights Demo
Unify - Match

Dynamics 365 Customer Insights Demo
Unify - Merge

Dynamics 365 Customer Insights Demo
Measures

Dynamics 365 Customer Insights Demo
Segments

Dynamics 365 Customer Insights Demo
Activities

Dynamics 365 Customer Insights Demo
Unified Customer Profiles
Geoff Smith
Melbourne, VIC
Australia
Geoff
Smith
Geoff Smith
GS

Dynamics 365 Customer Insights Demo
Extending the solution – Customer Engagement

Dynamics 365 Customer Insights Demo
Extending the solution – Power BI

Dynamics 365 Customer Insights Demo
Extending the solution – Power Platform

Dynamics 365 Customer Insights Demo
Custom Intelligence Models – Azure Machine Learning

Dynamics 365 Customer Insights
2020 Wave 1 – Key upcoming features
CUSTOMER INSIGHTS 2020 WAVE 1
• Bring your own Data Lake – you can attach your own data lake to CI for no-cliff extensibility with Azure
• Attaching data from a Common Data Model (CDM) folder
• Ingest Customer Activities & Update profiles in real time
• FedRamp, ISO 27001, and ISO27018 certifications
• Dynamics data in the lake as a source (Existing Dynamics Customers)
• OOB Subscription Churn Prediction, other OOB intelligence models to follow such as next best action
• Cross-Tenant support for custom AML models
• Enhancements to segments and measures
• Microsoft Teams Plugin
• Data source and Unification improvements including incremental ingestion for supported data sources

Check out our offers on Microsoft AppSource
The ONLY Customer Insights
offers on the AppSource
marketplace (AU & NZ)
Next Steps
appsource.microsoft.com

https://www.empired.com/cxreimagine
https://www.intergen.co.nz/cxreimagine

https://fcb.co.nz/news/annual-martech-survey/

Thank you!
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Java is for many years one of the most popular programming languages, but it used to have hard times in the Serverless community. Java is known for its high cold start times and high memory footprint, comparing to other programming languages like Node.js and Python. In this talk I'll look at the general best practices and techniques we can use to decrease memory consumption, cold start times for Java Serverless development on AWS including GraalVM (Native Image) and AWS own offering SnapStart based on Firecracker microVM snapshot and restore and CRaC (Coordinated Restore at Checkpoint) runtime hooks. I'll also provide a lot of benchmarking on Lambda functions trying out various deployment package sizes, Lambda memory settings, Java compilation options and HTTP (a)synchronous clients and measure their impact on cold and warm start times.

GNSS spoofing via SDR (Criptored Talks 2024)

Javier Junquera

In the realm of cybersecurity, offensive security practices act as a critical shield. By simulating real-world attacks in a controlled environment, these techniques expose vulnerabilities before malicious actors can exploit them. This proactive approach allows manufacturers to identify and fix weaknesses, significantly enhancing system security. This presentation delves into the development of a system designed to mimic Galileo's Open Service signal using software-defined radio (SDR) technology. We'll begin with a foundational overview of both Global Navigation Satellite Systems (GNSS) and the intricacies of digital signal processing. The presentation culminates in a live demonstration. We'll showcase the manipulation of Galileo's Open Service pilot signal, simulating an attack on various software and hardware systems. This practical demonstration serves to highlight the potential consequences of unaddressed vulnerabilities, emphasizing the importance of offensive security practices in safeguarding critical infrastructure.

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From Natural Language to Structured Solr Queries using LLMs

Sease

This talk draws on experimentation to enable AI applications with Solr. One important use case is to use AI for better accessibility and discoverability of the data: while User eXperience techniques, lexical search improvements, and data harmonization can take organizations to a good level of accessibility, a structural (or “cognitive” gap) remains between the data user needs and the data producer constraints. That is where AI – and most importantly, Natural Language Processing and Large Language Model techniques – could make a difference. This natural language, conversational engine could facilitate access and usage of the data leveraging the semantics of any data source. The objective of the presentation is to propose a technical approach and a way forward to achieve this goal. The key concept is to enable users to express their search queries in natural language, which the LLM then enriches, interprets, and translates into structured queries based on the Solr index’s metadata. This approach leverages the LLM’s ability to understand the nuances of natural language and the structure of documents within Apache Solr. The LLM acts as an intermediary agent, offering a transparent experience to users automatically and potentially uncovering relevant documents that conventional search methods might overlook. The presentation will include the results of this experimental work, lessons learned, best practices, and the scope of future work that should improve the approach and make it production-ready.

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Customer Insights: It's time to get personal

1. CUSTOMER INSIGHTS It’s time to get personal IN ASSOCIATION WITH

2. Introducing your speakers… Travis Barker GM Market Development Data & AI Qassem Naim Head of Data & Tech FCB NZ Rowan Miller Solution Sales Manager Business Applications Anthony Cipolla Principal Consultant Digital, Data & AI

3. It’s time to get personal

4. Let’s talk data

5. Activating on insights

6. Microsoft Dynamics 365 Customer Insights

7. Let’s walk through a scenario…

8. Example scenario – Retail - loyalty and eCommerce Web Loyalty Mobile App Wi-Fi Weather Data Jeff J SmithGeoff SmithGeoff Smith Third Party Microsoft Cloud 3rd Party Cloud 3rd Party Cloud Microsoft Cloud Microsoft Cloud 3rd Party Cloud Internally Hosted Unified profiles, activities & insights Geoff Smith

9. Dynamics 365 Customer Insights

10.

11. Dynamics 365 Customer Insights

12. Data Sources

13. Dynamics 365 Customer Insights

14. Dynamics 365 Customer Insights Demo Unify - Map

15. Dynamics 365 Customer Insights Demo Unify - Match

16. Dynamics 365 Customer Insights Demo Unify - Merge

17. Dynamics 365 Customer Insights Demo Measures

18. Dynamics 365 Customer Insights Demo Segments

19. Dynamics 365 Customer Insights Demo Activities

20. Dynamics 365 Customer Insights Demo Unified Customer Profiles Geoff Smith Melbourne, VIC Australia Geoff Smith Geoff Smith GS

21. Dynamics 365 Customer Insights Demo Extending the solution – Customer Engagement

22. Extending Customer Insights

23. Dynamics 365 Customer Insights

24. Dynamics 365 Customer Insights Demo Extending the solution – Power BI

25. Dynamics 365 Customer Insights Demo Extending the solution – Power Platform

26. Dynamics 365 Customer Insights Demo Custom Intelligence Models – Azure Machine Learning

27. Dynamics 365 Customer Insights 2020 Wave 1 – Key upcoming features CUSTOMER INSIGHTS 2020 WAVE 1 • Bring your own Data Lake – you can attach your own data lake to CI for no-cliff extensibility with Azure • Attaching data from a Common Data Model (CDM) folder • Ingest Customer Activities & Update profiles in real time • FedRamp, ISO 27001, and ISO27018 certifications • Dynamics data in the lake as a source (Existing Dynamics Customers) • OOB Subscription Churn Prediction, other OOB intelligence models to follow such as next best action • Cross-Tenant support for custom AML models • Enhancements to segments and measures • Microsoft Teams Plugin • Data source and Unification improvements including incremental ingestion for supported data sources

28. Next Steps

29. Check out our offers on Microsoft AppSource The ONLY Customer Insights offers on the AppSource marketplace (AU & NZ) Next Steps appsource.microsoft.com

30. Contacts:

31. https://www.empired.com/cxreimagine https://www.intergen.co.nz/cxreimagine

32.

33. https://fcb.co.nz/news/annual-martech-survey/

34. Questions?

35. Thank you! For more information please follow or contact us here: Linkedin.com/company/empired-ltd Facebook.com/empiredltd Twitter.com/empiredltd Linkedin.com/company/intergen Facebook.com/teamintergen Twitter.com/teamintergen

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