MuleSoft powered AI and Connecting Data Cloud with Mule

Max's Birthday Adventure: MuleSoft powered AI and Connecting Data Cloud with Mule

1. MuleSoft Bangalore Meetup 39th MuleSoft Bangalore Meetup

2. Agenda Keynote (10 mins) User Journey (5 mins) MuleSoft powering AI & Data Cloud AI + Einstein 1 platform (6 mins) Demo 1 (10 mins) MS integration with LLM (7 mins) Demo 2 (10 mins) Data Cloud (10 min) Demo 3 (10 mins) HL Diagram showing all the components (5 min) Q&A - 15 mins

3. Organizers

4. Keynote Speaker Sanjay Nivargikar RVP - Core Clouds Practice (Global Delivery Centers)

5. We’re in an AI revolution Wave 2 Generative Predictive Wave 1 Autonomous & Agents Artificial General Intelligence Wave 4 Wave 3

6. Ongoing Challenges Stand in Our Way Generative AI Where We’re Going Security, governance, and privacy concerns Siloed systems, structured and unstructured data Limited IT capacity Heterogeneous integration environments Manual processes & inability to act on insights 95 % of IT leaders report integrating AI with other systems is a top barrier. Source: Salesforce State of IT Report (2023) Autonomous AI & Copilots

7. Data Is Trapped in Disconnected Systems Volume of data Siloed systems Integration time Maintenance costs Security and compliance Technical expertise Source: MuleSoft 202 4 Benchmark Report Emerging Architectures for Modern Inrastructure, Unified Data Infrastructure (2.0) 62 % Data systems are not harmonized to leverage AI

8. Technologies Are Converging To Create AI-Powered Experiences Technologies are converging to accelerate transformation Integration Unlock data across all of your disparate systems API Management Secure and govern every API Automation Create workflows & automate manual tasks across structured and unstructured data with minimal coding Artificial Intelligence Implement predictive, generative, and autonomous capabilities, including AI copilots

9. ERPs SAP Oracle Netsuite Microsoft Dynamics Legacy Systems Databases Mainframe Homegrown On Premise SaaS Applications Workday Coupa Xero Zuora Anaplan Asana Docusign Jira ServiceNow Marketo Shopify Adobe Zendesk APIs & SDKs 300+ MuleSoft Connectors MuleSoft opens the universe of connectivity

10. Enrich & govern your data and actions MuleSoft + Data & AI Connect Any Data Anywhere Harmonize data across any third-party, legacy , or hard-to-reach system for richer AI insights A ction Insights Across Any System Create event-driven integrations and automations to propagate insights across the business Govern Any Interaction Manage all of your integrations from under a single pane of glass Source: 2022 Salesforce Customer Success Metrics Survey 78 % faster to market with reusable integrations and APIs

11. Speaker Mohammed Mohsin Khazi Senior Technical Consultant @ Salesforce Approx 7 years of Total Experience. 4 + years of experience in MuleSoft. MuleSoft Mentor . 5x MuleSoft Certified.

12. Connecting Data Cloud with Mulesoft

13. Objective Overview How Data Cloud Works Mulesoft Capabilities for Data Cloud Data Ingestion Demo

14. Data Sources Customer 360 Cloud Storage Amazon S3 Google Cloud Microsoft Azure Bring Your Own Lake Snowflake Google BigQuery Mobile & Web APIs & SDKs Legacy Systems Connect & Prepare How Data Cloud Works Out-of-the-Box Connectors MuleSoft Anypoint Platform Data Bundles Streaming & Batch Data Ingestion Streaming & Batch Data Transforms Harmonize Data Spaces Data Models Customer Graph Data Mapping Identity Resolution Customer 360 Segmentation Calculated Insights Analytics Einstein Studio Activate Automations Einstein GPT Third Party Actions

15. How MuleSoft Compliments Data Cloud Data Cloud Capabilities Where MuleSoft Adds Value Connect data from multiple Salesforce orgs Ingest data from SaaS apps and hyperscalers through native connectors Ingest unstructured data from loaded content in text, html, and PDF files Data federation with data lakes/warehouses Firewalls and on-premise data may need local infrastructure; any network topology is doable Ingestion from transactional / ERP systems benefit from key features (queuing, error handling, delivery controls) that are fully available from MuleSoft Connect to file stores and knowledge repositories to source files and data and use OCR for unstructured ingestion Activate data with Salesforce CRM across the C360 Enrich CRM objects with seamless reverse ETL Data sharing with data lakes/warehouses Ad activation partners like Google and Facebook Data visualization with Tableau Activate data changes and respond to data events in any external downstream app and data system using APIs and/or bots Respond to data events with complex automated workflows in Salesforce using Flow Orchestration Connect Data In Action Data Out

16. Data Ingestion Data Cloud Ingesting data @ scale Stream or Schedule Select columns to import Ingestion and Modeling Data Sources Data Cloud Data Ingestion Scheduled Stream Salesforce Cloud Based 3rd Party Data Data Sharing 3rd Party Partners Snowflake AppExchange Data Sharing Native Connectors or Ingestion Methods PILOT S3 Redshift ZERO COPY ML Data Cloud

17. Demo

18. Quiz

19. Celebrations