Snowflake Summit is a massive undertaking. 

There are hundreds of hours of programming spread across 550 individual sessions during the day– and parties and happy hours at night. Most of your time will likely be spent in meetings, but it’s often helpful to drop in on a few relevant sessions to keep track of what customers (and competitors) are doing with Snowflake.

We scoured every session and event at Snowflake Summit and put together an agenda specifically for the data provider community. It includes sessions worth dropping in on and events worth dropping by – no matter if you sell to financial services, corporates or both.  

Want to add an event? Share it here.

Day 1: Monday, June 3rd

Sessions during the day

Methane Matters: Impacts, Challenges and Solutions

File Under: ESG in action

Companies: S&P

Why we’re interested: S&P has quietly put together a massive data business over the past decade – of which sustainability data is a big part. This is a great insight into how they are building and activating these datasets for customers.

Time and Location: 3:20PM @ Basecamp North Theater 1 (Basecamp, North)

How Fiserv Is Building the Banking and Payments Ecosystem on Snowflake

File Under: Data sharing as infrastructure

Companies: FinServ

Why we’re interested: Finserv powers much of the modern financial system. This session offers an inside look into how the company is leveraging modern sharing protocols to connect - and monetize - its data in new ways. 

Time and Location: 3:00PM @  Room 207 (Moscone South, Level 2)

Hackathon: Dignity from Data — Using Snowflake to Solve the United States' Homelessness Crisis

File Under: Data for good

Companies: Carto, BrightData, Cybersyn

Why we’re interested: Our friends at CARTO and Brightdata are bringing their geospatial and public datasets to bear for a great cause. It’s a great way to showcase the applicability of internal data for public good.

Time and Location: 3:00PM @  Room 207 (Moscone South, Level 2)

Parties at night

Low key happy hour in San Francisco

Hosts: Portable, The Seattle Data Guy, Metaplane, RudderStack, Keboola, Zenlytic, Data Galaxy, and Brooklyn Data

Time: 8PM - Midnight

Location: TBD

Day 2: Tuesday, June 4th

‍Sessions during  the day

‍BlackRock's Aladdin Data Cloud: Using Native Apps to Gain a Competitive Edge

File Under: What modern looks like

Companies: BlackRock

Why we’re interested: BlackRock has bet big on Aladdin as a way to bring together internal and external data sources in a single platform for financial services. It has the potential to be a powerful part of the financial data ecosystem - and worth getting to know better. 

Time and Location: 12:00PM @  Room 205 (Moscone South, Level 2)

Implementing Your Monetization Model & Pricing Strategy

File under: C.R.E.A.M. C

Companies: Snowflake, Omnata

Why we’re interested: Pricing is the gordian knot of data. Platforms like Snowflake are introducing new monetization models that could change the way data companies bring their products to market.

Cigna Shares Data with Prescribers and Patients for Advanced Analytics

File Under: Bye, bye SFTP

Companies: Cigna

Why we’re interested: The Healthcare giant Cigna shared data with partners via SFTP for years.  But it shifted many of these sharing workloads to Snowflake Sharing and lived to tell about it. Great insight into the challenges and opportunities in moving to modern protocols.

Time and Location: 1:00PM @  Room 208 (Moscone South, Level 2)

Democratizing Data-Driven Decision-Making for the Buy Side: Low-Code Analytics

File Under: Opening up

Companies: Bloomberg, AllianceBernstein

Why we’re interested: Bloomberg has built its business by keeping its data closely coupled to its analytics software (and hardware). That’s changing. Good to track how the financial data leader is starting to activate its data beyond the terminal.

Time and Location: 2:00PM @  Room 160 (Moscone South, Upper Mezzanine)

Parties at night

Drinks - Cloud, Cocktails, & Connections

Host: Bloomberg

Time: 4:30PM - 6:30PM

Location:  Bloomberg Technology Hub 140 New Montgomery Street Floor 22 San Francisco, CA

Day 3: Wednesday, June 5th

‍Sessions during  the day

The Data-First Revolution: LSEG's High-Speed Data Engineering

File Under: Better, faster, stronger

Companies: LSEG, Matilion

Why we’re interested: The London Stock Exchange Group (LSEG)  has put together one of, if not the, most powerful portfolios of financial data in the world over the past decade. This should be a fascinating look into how the company is also modernizing the way they’re bringing that data to market.

Time and Location: 1:00PM @  Room 215 (Moscone South, Level 2)

How JPMC Saved $2M Per Year and Enabled Scale with a Data Mesh Approach on Snowflake

File Under: Buyers, upgraded

Companies: JPMorgan Chase, FactSet, MSCI

Why we’re interested: JPMC is one of the biggest buyers of data in the world. This should offer a fascinating look into how the financial giant is bringing market and alternative data to its analysts.

Time and Location: 1:00PM @  Room 215 (Moscone South, Level 2)

Privacy-Preserving Collaboration: What to Do When You Can't Just 'Share the Data'

File under: It’s complicated

Companies: Facteus, Snowflake

Why we’re interested: Selling data always comes with caveats. Sometimes, those caveats come from legal requirements around privacy. Our friends at Facteus are always thoughtful and creative with how they bring their transaction data to market and this should be a good look into how they’re solving that problem.