Dreamforce 2026 Recap
Starting with Slack and Data 360
Co-creating with
AI agents
From Dreamforce announcements to our everyday work
October 15, 2026 · Nagoya
Takeshi Hiratsuka
Leave a Nest Knowledge Co., Ltd.
Executive Vice President
Tableau Ambassador 2026
Salesforce Consultant
Data 360 Specialist
Speaking
- Connections 2026
- Tableau Conference 2026
- TDX 2026
- Dreamforce 2025
Who We Are
Leave a Nest Group
Advancing science and technology through knowledge creation,
to tackle global challenges
Leave a Nest Knowledge
In the digital world,
helping organizations evolve their knowledge
Our Story
From Leave a Nest’s IT team
to a company helping other organizations
A world where we collaborate with AI
Gartner: Three kinds of value from generative AI
The 3 Business Cases of Generative AI Value
Defend
Make everyday
work better
Return on Employee
Value for employees
Extend
Improve results
in existing operations
Return on Investment
Value from investment
Upend
Create opportunities
for new businesses
Return on the Future
Value for the future
AI’s value cannot be measured with a single yardstick
Source:Gartner, Nate Suda / Hung LeHong, 6 Jan 2025 / Speaker’s summary based on public information
Leave a Nest Group Architecture
Heroku
Sales Cloud
Data 360
Marketing Cloud Next
Tableau Next
Slack
MCP
Data 360 connects the products. Slack connects to Sales Cloud and to Data 360 through MCP.
Original slides ↗Slack–Data 360 connection added
AI becomes the entry point for work
Dreamforce 2026: Four layers
Slack isa team’s workspace
- Channels
- Where conversations and materials come together
- Slackbot
- The entry point for asking AI to do work
Slack Keynote: Using AI as a team
Return on Employee
Slackbot: From conversation to business data and tools
Demos that show the power of Slack
- 01Dynamic reports
- Surface Report / Slack HTML
- 02Dynamic applications
- Purupuru Chain
- 03Dashboards
- Tableau Next
- 04Actions with Slackbot
- Data analysis / Segment creation
Slackforce Surfaces: Work interfaces in the conversation
Demo 1 | Dynamic reports
Demo 2 | Official video: Slackbot builds a game
Demo 2 | Dynamic applications
Demo 3 | Dashboard: Chunichi Dragons Fan 360
Explore Tableau Next questions further with Slackbot
“They buy their favorite player’s merchandise, but haven’t attended a game.
Who are they, and what invitation would suit them?”
Tableau Next
See the big picture in a dashboard.
Define metrics and establish the analytical foundation.
Slackbot and a Skill
Ask follow-up questions using the same model.
Compare the audience and draft campaign ideas.
Games attended counts distinct games with confirmed entry.
Net purchases means purchases minus refunds.
A Tableau Next MCP connection and access permissions are required. Skills standardize the analysis workflow.
Combine attributes and activity to understand the audience
| Information | What to examine |
|---|---|
| Fan profile | Location, favorite player and marketing consent |
| Attendance history | Distinct games with confirmed entry |
| Merchandise purchases | Net purchases after refunds and favorite-player merchandise |
| Public results | 2025 game and player statistics |
Slack Skills: Choose a repeatable analysis workflow
Demo 4 | Slackbot actions: Data analysis
Ask Slackbot about a Tableau Next question
Nagoya Data Analysis | Chunichi Dragons Fan 360
For fans who buy their favorite player’s merchandise but have never attended a game,
show their count and share of all fans.
Compare their locations and favorite players with all fans.
Cite the evidence and suggest two invitations to a first game.
Select the Skill and ask Slackbot
Demo 4 | Slackbot actions: Segment creation
Create a segment for a first-game invitation
Find fans who buy their favorite player’s merchandise
and have attended zero games.
Include only those with marketing consent,
and create a segment for a first-game invitation.
Switch to the standard Slackbot interface
AI’s work and human judgment
AI’s work
Summarize the audience and evidence
Draft the invitation
Human judgment
Check the audience, evidence and wording
Assign owners and decide the next step
Return on Investment
Slack Code 1: Bring the request and team together
Slack Code 2: Give feedback on a working interface
Slack Code 3: Experts review the changes
Slack Code 4: Keep the result and decision history
With Slack and Data 360
Strengthen individualsand organizations
Return on the Future
Leave a Nest Knowledge in the field in Hokkaido
Working on
automated tractor steering
Invest in the future by working on the farm,
and learning how tools and tasks fit together.
Start with the challenges on the ground
to find work we can tackle with AI.
Working with Leave a Nest Knowledge · 10-09 ↗
How do we measure a professional’s skills?
Learn the workflow
by peeling green onions
Record the task with a head-mounted camera.
Decide what to measure with the people doing the work.
People define the question and purpose,
then work with AI.
The camera-based work-recording example comes from the speaker.
Three kinds of value from co-creating with AI
Return on Employee
Work with AI on individual tasks
Return on Investment
Welcome AI agents into the team
Return on the Future
Invest in field work for the future
Speaker’s interpretation of Gartner’s framework.
Together with AI agents,
let’s move toward
a more exciting future
Sources, availability and demo assumptions
Gartner’s three business cases
The 3 Business Cases of Generative AI Value
Nate Suda / Hung LeHong
January 6, 2025
Based on the public abstract and Gartner’s public explanations.
The summary and demo applications are the speaker’s interpretation.
The original diagram is not reproduced.
Official demos and our demonstrations
Official Main Keynote and Slack Keynote videos
Tableau Now V4 design and reference images
A real screen of registered Slack Skills
Hokkaido farm: Tomiyasu’s posts and the speaker’s examples
Public 2025 statistics plus fictional fan activity
Fixed reference date: October 2, 2025
Distinguish the launch of Code / Surfaces from the Channels early pilot.
Actual access depends on plans, connections and permissions.
Prepared HTML differs from a Surface generated during a demo.
Links to the specified Slack posts and backup HTML are included. Demo behavior is separate from evidence of business outcomes or ROI.