Salesforce Toronto World Tour Debrief Dinner

Salesforce World Tour Debrief - A.I. Dinner

@ Hotel X Toronto | The Playbook Commons | June 24, 5:30pm

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Topic: Extend Agentforce to ANY system?

Hyder Mirza

Hyder Mirza

CEO, CloudJunction

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Daniel Bucci

Daniel Bucci

Solution Engineer, Salesforce

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Join a small group of your peers (8–10 executives) from the region to get inspired over dinner in a relaxed setting to exchange ideas about Salesforce's AI and debrief on the insights from Agentforce Toronto World Tour.

  • Discover use cases for Agentic AI for Manufacturers
  • Explore extending Salesforce's AI to ERP, Orders & Inventory systems
  • Learn how AI can unlock back-office data to improve the experience of employees, distributors & customers

The discussion will be hosted by:

  1. Daniel Bucci – Solution Engineer, Salesforce, specializing in architecting Salesforce technology solutions for Manufacturers in Canada.
  2. Hyder Mirza – CEO, CloudJunction, an ex-Salesforce veteran with 17 years of experience helping 350+ businesses get more mileage from their investment in Salesforce.

The Playbook Commons blends the energy of a classic steakhouse with the comfort of American-Italian dining, with a menu celebrating timeless dishes like handmade pasta, seafood, and steaks, in a vibrant atmosphere striking the balance between sophistication and playful charm.

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Empower users.
Delight customers.

Fuel your AI Agents with real-time insights

Customer service representatives can be armed with information in a few seconds with a simple conversational query. No more juggling multiple screens, swivel chairing and accessing multiple apps and interfaces to find information related to a customer.
Self-service possibilities for customers become more exciting as customers and partners can access AI Agent-powered web portals and web apps and lookup information, request actions and get progress visibility and status updates, in response to simple conversational requests, powered by live data streaming from ERPs and back-office systems.

Access data residing
"as-is" elsewhere.

Avoid expensive integrations

Your data stays as-is, in the system it belongs to. This bypasses the need for expensive data migrations and matching up reference IDs and data formats across multiple systems.
Data can be accessed on-demand by AI Agents without having to deal with the overhead of a long, complex integration project.

Zero-copy
Agentic connections.

Bypass all ETL / data sync pains

The conventional Extract-Transform-Load complexity of data integrations is bypassed as the data is not synced or replicated across systems.
The zero-copy architecture simply queries the data on-demand as and when needed.