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An independent, community-led space for enterprise professionals to learn, share, and grow with AI across multiple platforms.

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WEBINAR RECORDINGS

Catch up on our latest webinar recordings with leaders from across the enterprise ecosystem. From AI and Salesforce to security and architecture, these sessions are designed to share knowledge, spark conversations, and help the community grow together.

NOTABLE SPEAKERS

Nishit Rawat

Nishit Rawat

Chief Executive Officer

Bluvium

Farhan Sarwar

Farhan Sarwar

Sr. Director of Applications - GTM Technology & Experience

Coupa Software

Ian Gotts

Ian Gotts

Founder

Elements.cloud

Saurabh Gupta

Saurabh Gupta

Founder & CEO

Cloud Compliance

Gaurav Khetarpal

Gaurav Khetarpal

Founder & CEO

Vanshiv

Kristy Crowley

Kristy Crowley

Salesforce Service Cloud Practice Lead

EPAM

Punit Bhatia

Punit Bhatia

Founder

FIT4PRIVACY

Tom Kemp

Tom Kemp

Advisor & Investor

Kemp AI Ventures

Tina Woodall

Tina Woodall

Innovative Solutions

HTC Global Services

Jake Harwood

Jake Harwood

Health Cloud Capability Lead

Slalom

Doug Merrett

Doug Merrett

Founder & Principal Consultant

Platinum7

Vernon Keenan

Vernon Keenan

Senior Industry Analyst

SalesforceDevops.net

Preetam Joshi

Preetam Joshi

Co Founder

AIMon AI

Anand B Narasimhan

Anand B Narasimhan

CTO

S-Docs

Kavin Mehta

Kavin Mehta

Managing Director

Accenture

John Godlove

John Godlove

Director, Salesforce Data, AI & Analytics Practice Lead

EPAM

WHAT WE'RE THINKING ABOUT

Short reflections and learnings shaped by conversations across the Enterprise Dreamin community — around AI, Salesforce, security, and enterprise systems.

Why AI in Salesforce feels different this time

A reflection on what's changing beneath the platform layer — beyond features and announcements.

Security isn't slowing AI down — it's shaping it

Notes from recent discussions on trust, responsibility, and enterprise adoption.

Enterprise architecture in an AI-first world

How roles, boundaries, and assumptions are quietly shifting.

A lot of recent conversations aren't really about tools — they're about responsibility, trust, and long-term design.

AI: BUILD VS BUY?

A practical comparison of options, constraints, and architectural trade-offs. Does it make sense to build your AI solution or buy it? Is there a hybrid approach?

🔨

BUILD

Build and fine-tune your AI model. Wire it into your enterprise applications.

  • Full customization and control are critical
  • AI is tightly coupled with proprietary data or systems
  • Solution is core to business IP or competitive advantage
  • Scale exceeds typical vendor platform limits
Considerations:

Requires data engineering, AI/ML, and software expertise. Non-trivial time, cost, and ongoing maintenance. Security, performance, and governance must be owned internally.

🔀

HYBRID

Wrap an AI engine using APIs and integrate it into enterprise apps.

  • Balance of speed, flexibility, and control needed
  • Vendor platform with custom layers for prompt engineering
  • Custom grounding, context, security, and access control
  • Enterprise integration requirements
Considerations:

Architectural discipline is required. Ongoing security, drift, and change management concerns.

🛒

BUY

Adopt a vendor platform and integrate it into your systems.

  • Time-to-value is a priority
  • Development and maintenance overhead must be minimized
  • Cloud delivery and OpEx models are preferred
  • Ecosystem integrations matter
Considerations:

Limited customization. Vendor dependency and potential lock-in. Constraints around proprietary data and workflows.

Key Concepts

In-Context Learning (ICL)

Improves relevance using examples provided at runtime. Fast to apply. Model weights do not change.

Fine-Tuning

Customizes models for specific domains. More complex. Operational overhead increases.

Model & Platform Selection

Choices span OpenAI, Azure, AWS, GCP, and others — each with different trade-offs.

Architecture Patterns

AI engines, API wrappers, CRM platforms, and enterprise systems must work together.

🔒

Security Constraint

Security, privacy, and compliance are non-negotiable constraints across all options. Risks include prompt injection, data leakage, hallucinations, and sensitive data in outputs.

Want to know more?

Watch the webinar

FREQUENTLY ASKED QUESTIONS

Have questions? We've got answers. Find everything you need to know about Enterprise Dreamin.

What to Expect

THIS IS DIFFERENT

WHAT TO EXPECT

Enterprise Dreamin cuts through the noise with real talk from notable speakers, in-depth insights on AI transformation, and practical decision frameworks. Join a community of enterprise professionals learning AI together.

  • Real talk from industry experts
  • Webinar recordings with notable speakers
  • In-depth insights and articles
  • Build vs Buy decision frameworks
  • Downloadable resources
  • Active community across multiple platforms
GET IN TOUCH

THANK YOU TO

OUR SPONSORS

Apex Hours
Bluvium
Cloud Compliance
CRM CoE Alliance
Elements.cloud
FIT4PRIVACY
GPTfy
Platinum7
SalesforceDevops
S-Docs
Vanshiv
Apex Hours
Bluvium
Cloud Compliance
CRM CoE Alliance
Elements.cloud
FIT4PRIVACY
GPTfy
Platinum7
SalesforceDevops
S-Docs
Vanshiv