From Enterprise SaaS to Self-Serve Api- the S.T.R.E.A.M. Framework for API Launch

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The document outlines the S.T.R.E.A.M. framework for launching an API product. S.T.R.E.A.M. stands for Strategize, Team Up, Review, Engineer, Affirm, and Machinize. It discusses key differences between launching an API versus an existing SaaS product and potential pitfalls. The framework provides guidance on building a lean canvas, gaining early adopters, launching in stages, and adjusting based on feedback.

Technology

From Enterprise SaaS to
Self-Serve API
The S.T.R.E.A.M. framework for API launch
Matt Mclarty
Global Leader, API Strategy
Tiffany Xingyu Wang
Chief Strategy Officer

Standalone API product
Indirect digital channel
Value-added service
Industry alignment
Strategic objective
Scaling mechanism
API Product Paths

SaaS to API Examples
Indirect digital channel
Value-added service
Scaling mechanism

Keeping 1 billion, and
counting, users safe
everyday.
Behavior Identification
Data Labeling
Our Products Our Customers Our Growth
Self Serve API
Voice Chat

Keeping 1 billion, and
counting, users safe
everyday.
Pitfall #1 Pitfall #2 Pitfall #3
Misalignment
Competing
Goals
Conflicting UVPs
Sales &
Marketing
inertia of the
existing
playbooks
Downmarket
New verticals
Lead gen
Data moat
T&P Priorities
Impact on data

S.T.R.E.A.M.
Affirm
Take calculated risks
and make decisions.
Engineer
Provide early access
to friendlies.
Machinize
Launch and test.
Team Up
Rally stakeholders
and lead change.
Review
Follow VPIM
methodology.
Strategize
Turn constraints
into strengths.
Keeping 1 billion, and
counting, users safe
everyday.

Strategize
Turn constraints
into strengths.
The Problem The Solution
Unique
Value Prop
Unfair
Advantage
Customer
Segments
Key Metrics Channels
Cost
Structure
Revenue
Streams
Existing
Alternatives
High-Level
Concepts
Early
Adopters
Build a Lean Canvas within the Lean Canvas
It is like dancing with handcuffs.

Team Up
Rally stakeholders
and lead change.
Exec support vs
Competing goals
CEO + CTO ENG + DS + PROD
Marketing Sales
VPI for agility
Existing CRM vs
Cold-start challenge
Bring your BDR and AEs
along from the start!
People before business.

Engineer
Provide early access
to friendlies.
Single
Key Use Case
Analytics
Bot
Scalable
Credentialing
API Instance
“Make the trivial manifest” -- Uri Sarid, CTO @ Mulesoft

Affirm
Take calculated risks
and make decisions.
Pricing & PackagingProduct Roadmap Segmentation
Uncovered the unknown unknowns
Next up, validate the known unknowns
Tech & Product Marketing Sales + Partnership

Machinize
Launch and test.
Pre-Integration
Sandbox
Production
Integrate & Test
Receive Requests & Demonstrate Ease
Convert & Upsell
Conversion point: One single value prop + Ease of use
Goal: Initial visit, sign up
Biz To-Do: channel partnership agreement, pilot
agreement, co-marketing, feedback loop, competitive
analysis, persona
ENG To-Do: API documentation, architecture, dev demo,
feedback loop
Conversion point: use cases + security + performance
Goal: First working app
Biz To-Do: API analytics (conversion funnel visit →
working app, time to conversion)
ENG To-Do: Sign up, get 1st API requests and showing
ease of use, accelerate TTFHW by reducing onboarding
friction
Conversion point: Case studies + Comparison guide
(competitor analysis ongoing) + ROI analysis
Goal: Get devs to ship a working app
Biz To-Do: Track Time to First Working App/ Paid App
ENG To-Do: Production ready
MKT To-Do: API webpage + enhance discoverability
Feedback
Strat Adjust

Keeping 1 billion, and
counting, users safe
everyday.
Pitfall #1 Pitfall #2 Pitfall #3
Misalignment
Competing
Goals
Conflicting
UVPs
Strategize Team Up Review Engineer Affirm Machinize

Matt Mclarty
Global Leader, API Strategy
Tiffany Xingyu Wang
Chief Strategy OfficerThank you
@MattMcLartyBC
@TiffanyXingyuW

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In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation. We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios. Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!

Infrastructure Challenges in Scaling RAG with Custom AI models

Zilliz

Building Retrieval-Augmented Generation (RAG) systems with open-source and custom AI models is a complex task. This talk explores the challenges in productionizing RAG systems, including retrieval performance, response synthesis, and evaluation. We’ll discuss how to leverage open-source models like text embeddings, language models, and custom fine-tuned models to enhance RAG performance. Additionally, we’ll cover how BentoML can help orchestrate and scale these AI components efficiently, ensuring seamless deployment and management of RAG systems in the cloud.

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Essentials of Automations: The Art of Triggers and Actions in FME

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From Enterprise SaaS to Self-Serve Api- the S.T.R.E.A.M. Framework for API Launch

1. From Enterprise SaaS to Self-Serve API The S.T.R.E.A.M. framework for API launch Matt Mclarty Global Leader, API Strategy Tiffany Xingyu Wang Chief Strategy Officer

2. API Products

3. Standalone API product Indirect digital channel Value-added service Industry alignment Strategic objective Scaling mechanism API Product Paths

4. From SaaS to API Web native Data driven Brand permission Higher touch service Human users Varying boundaries A Solid Foundation Some Key Differences

5. SaaS to API Examples Indirect digital channel Value-added service Scaling mechanism

6. Keeping 1 billion, and counting, users safe everyday. Behavior Identification Data Labeling Our Products Our Customers Our Growth Self Serve API Voice Chat

7. Keeping 1 billion, and counting, users safe everyday. Pitfall #1 Pitfall #2 Pitfall #3 Misalignment Competing Goals Conflicting UVPs Sales & Marketing inertia of the existing playbooks Downmarket New verticals Lead gen Data moat T&P Priorities Impact on data

8. S.T.R.E.A.M. Affirm Take calculated risks and make decisions. Engineer Provide early access to friendlies. Machinize Launch and test. Team Up Rally stakeholders and lead change. Review Follow VPIM methodology. Strategize Turn constraints into strengths. Keeping 1 billion, and counting, users safe everyday.

9. Strategize Turn constraints into strengths. The Problem The Solution Unique Value Prop Unfair Advantage Customer Segments Key Metrics Channels Cost Structure Revenue Streams Existing Alternatives High-Level Concepts Early Adopters Build a Lean Canvas within the Lean Canvas It is like dancing with handcuffs.

10. Team Up Rally stakeholders and lead change. Exec support vs Competing goals CEO + CTO ENG + DS + PROD Marketing Sales VPI for agility Existing CRM vs Cold-start challenge Bring your BDR and AEs along from the start! People before business.

11. Review Follow VPI methodology. VPI Data Sources Apps Biz Process Gain Creators Pain Relievers Gains Pains Customer’s Jobs & Processes Credit: Amancio Bouza & Andrea Zoulian Value Proposition Interface Map Customer Profile API Interface Value Proposition Value Proposition Interface Problem-Solution Fit What helps enterprise SaaS succeed can be a roadblock for a self-serve API roll-out

12. Engineer Provide early access to friendlies. Single Key Use Case Analytics Bot Scalable Credentialing API Instance “Make the trivial manifest” -- Uri Sarid, CTO @ Mulesoft

13. Affirm Take calculated risks and make decisions. Pricing & PackagingProduct Roadmap Segmentation Uncovered the unknown unknowns Next up, validate the known unknowns Tech & Product Marketing Sales + Partnership

14. Machinize Launch and test. Pre-Integration Sandbox Production Integrate & Test Receive Requests & Demonstrate Ease Convert & Upsell Conversion point: One single value prop + Ease of use Goal: Initial visit, sign up Biz To-Do: channel partnership agreement, pilot agreement, co-marketing, feedback loop, competitive analysis, persona ENG To-Do: API documentation, architecture, dev demo, feedback loop Conversion point: use cases + security + performance Goal: First working app Biz To-Do: API analytics (conversion funnel visit → working app, time to conversion) ENG To-Do: Sign up, get 1st API requests and showing ease of use, accelerate TTFHW by reducing onboarding friction Conversion point: Case studies + Comparison guide (competitor analysis ongoing) + ROI analysis Goal: Get devs to ship a working app Biz To-Do: Track Time to First Working App/ Paid App ENG To-Do: Production ready MKT To-Do: API webpage + enhance discoverability Feedback Strat Adjust

15. Keeping 1 billion, and counting, users safe everyday. Pitfall #1 Pitfall #2 Pitfall #3 Misalignment Competing Goals Conflicting UVPs Strategize Team Up Review Engineer Affirm Machinize

16. Matt Mclarty Global Leader, API Strategy Tiffany Xingyu Wang Chief Strategy OfficerThank you @MattMcLartyBC @TiffanyXingyuW

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