How is your day going? I hope you’ve learned lots here at AnacondaCON today!
I’d like to introduce my colleagues & your Product Management team for Anaconda & Anaconda Enterprise.
Crystal Soja, Christine Doig, and Kris Overholt!
At the end, we’ll have a Q&A session and they will be assisting me. I’d also encourage you to connect with them while you’re here and let us know what’s important to your enterprise.
I’d like to start out our journey with two men that are well known to most of you, Travis Oliphant and Peter Wang, our co-founders. Five years ago these two icons in the open source Python community who were known for their foundational contributions to both scientific computing and visualization came together to found Continuum because they shared a common understanding that there were issues preventing their beloved Python from reaching it’s full potential.
(click) As loyal Pythonistas, they wanted to see Python realize it’s fullest potential. Yet the anarchy and chaos of packages was clearly preventing wide scale adoption of Python. So they put their big brains together, and yes, that’s a pretty powerful combination, to solve just that problem. Out of that collaboration and humble beginnings emerged conda, a cross platform, multi-language package manager, which makes it easy to manage not only Python, but also R, Java, C/C++, Scala and even Fortran.
That was the beginning of their vision for open data science which evolved into Anaconda. And yes, that’s the original logo. As you can see, since then, we’ve come a long way baby and we’re not stopping. We, with their leadership and technical expertise, are continuously reevaluating the open source ecosystem to help evolve open data science so you don’t have to.
In 2016, Anaconda achieved widespread market adoption. We went from 3M total downloads at the end of 2015 to 11M total downloads in 2016.
So rest assured, you’re in great company!
Anaconda is the leading Open Data Science platform powered by Python and has become the de facto open data science platform of enterprises, scientists, & academics….
As well as technology giants worldwide
ACCELERATES time-to-value CONNECTS data, analytics & compute EMPOWERS data science teams
As we continue down this journey to Open Data Science we’ve considered many different paths….
We’ve gone to the Big Data mountain to seek wisdom
And we’ve gone to the promised land of analytics to seek enlightenment
and we’ve looked at the magic of automated machine learning
And we have taken into account the most demanding requests of enterprise operations
To continue pushing the boundaries towards an enlightened open data science path – a path where we embrace the best that open source has to offer, while we continue to fill the gaps in the ecosystem for enterprises by innovating and contributing foundational technology to the open data science ecosystem.
While many are now claiming to be a data science platform, they don’t fully embrace the promise of open data science to help you connect the open source ecosystems to enterprise requirements. While we understand many of the complex enterprise requirements we are always open to learning more from you about what you need to unleash the value locked up in your data. That’s why Anaconda Enterprise is focused on empowering your data science teams with (click)
Because that’s what it takes to be an enterprise ready open data science platform.
With those capabilities your data science team is empowered to Explore & analyze their data Collaborate & publish their data science models Deploy & operate their data science applications to realize value for your enterprise
Let’s take a peek at a data science team in action.
If you haven’t found your data science team yet, they’re awaiting you at the Anaconda demo kiosks!
While we know quite a bit about open data science, our inquiring minds still wanted to know more about what you, the enterprise innovators and leaders, need from open data science
So we commissioned the first ever open data science survey that will be sent to each of you after the conference
And we discovered that ….
And enterprises are relying on open source for enterprise data science
And that data science is one of the most import technologies that is allowing companies to get value from their data especially their Big Data
And that OpenDataScience means effective team COLLABORATION
And that in this new world order, data science is actively being used by enterprises not just for competitive advantage but to run the business and drive the valuation gains that Brian Hopkins talked about earlier today. We learned that Data Science is business. And that the best run businesses run on open data science.
We took all of this information plus our open data science expertise to forge a roadmap to help our customers realize their ambitious plans to change the world
We looked at where we are today with Anaconda being a full-stack, open data science platform with many components.
By the way, I should mention that today, Crystal manages the Anaconda and Anaconda Repository teams. Kris manages the Adam, Accelerate, Scale and Enterprise Notebook teams. Christine manages the Fusion team.
And we remain commited that Anaconda will be on-premise first AND cloud-ready
And that we’ll continue to deliver on the breadth of capabilities required of a full end-to-end platform that you, our enterprise customers need and depend upon for your business.
Yet we know we need to continue evolving Anaconda Enterprise and we have.
Today, we’re introducing to you the next generation Anaconda Enterprise platform with a new unified and streamlined environment to make it faster and easier than ever for data science teams to build innovative, powerful intelligent applications.
TRANSITION TO KRIS
Kris, would you mind giving us a tour of the new Anaconda Enterprise 5.0 platform?
5.0 Cloud Sandbox Example data science workflows including Runnable notebooks Interactive data science apps ML models with Rest API
TRANSITION TO MICHELE
Michele, can you tell us more about what to expect in 2017?
We’ve got a few minutes if anyone would like to ask any questions, we’ve got a few microphones that we’ll bring to you so everyone can hear your question.
If you have any questions or feedback, please don’t hesitate to let us know tonight, tomorrow or at anytime after the conference.
As hopefully you’ve seen and heard today, many of you are innovators doing amazing breakthrough work in your field.
We wanted to recognize one customer in particular who has been an innovator since their inception almost 30 years ago. This business runs on analytics. It is why they carved out a lucrative market and have become a giant in their industry. Today, they are reinvigorating their business and pushing the boundaries with Open Data Science innovation. (click) We’d like to recognize Hussain Sultan and the team from Capital One for their innovation. Hussain, can you join me?
Biggest Data Science Team (12 total) USG (6) Krissy Freeman, Jarek Sychtysz, Rebecca Ward, Patrick Carlos, Alexander Basil, Scott Stevenson State Farm (6) Bob Cunningham, Carlee Clymer, Taylor Smith, Jason White, Peter Laube, Sandra Tucker Longest Distance (9 total) Niko Ahonen and Paavo Pere both from Helsinki Daniel Grafstrom from Sweeden Jens Nie and Peer Wagner from Germany Julien Meltz, Philippe Trin, Haithem Derbel, Julien Lafaye from France Unsung Heroes Government (7 total) Vesta Gueschkova, David Lyle, Alexander Gude, Matthew Bement, Andrew Fraser, Dharhas Pothina, Charles Collver More Unsung Heroes - City & State that we hope will save us! (5 total) City of Boston - Andrew Therriault, Christopher Dwelley, Sam Lovison, Kayla Patel, Alex Chen
Who’s ready to party?
Keynote: The Anaconda Roadmap | AnacondaCON 2017
The Journey to Open Data Science Begins with Anaconda
YOU’RE IN GOOD COMPANY
11 Million Downloads
& 229% YoY growth
2013 2014 2015 2016
…is the leading Open Data Science platform
powered by Python the fastest growing data science language
• Accelerate Time-to-Value
• Connect Data, Analytics & Compute
• Empower Data Science Teams
Feb & Sept 2016
INNOVATE faster through managed
MOVE from analysis to deployment
DELIVER powerful results backed
by high performance open data
LEVERAGE innovative open source
analytics to extract value from
MAXIMIZE your computational
power to easily analyze all data
CONNECT and integrate all your
data sources for predictive models
ITERATE quickly to create
powerful analysis and predictive
COLLABORATE and share with your
data science team
PUBLISH interactive results to
Data, Analytics & Compute
Data Science Teams
To People Who Change
97% enterprises report
Data Science is critical
to the success of their
using open source for
…and more than half (54%)
report that their technology
philosophy for data science is
entirely or mostly open source
1% Entirely open source approach
Mostly open source approach
A mixed approach
Mostly proprietary approach
Entirely proprietary approach
Data science Business intelligence Data management/MDM Operational systems including
ERP and CRM
Big data environments (Hadoop,
Data warehouses (Oracle,
Ranked first Ranked in top three
73% enterprises report Data Science is in Top 3
technologies that bring the most value to their organization
Governance and compliance
Citizen/self-service data science
Data science reproducibility
High performance computing
Data science collaboration
Open Data Science
Once per year
A few times per year
86% of enterprises are
actively using data science
in their business
Bottom line is that
data science is no longer
just for competitive
advantage it’s infused into
Certain information contained in this presentation is forward-looking in nature. Any expectations based on these
forward-looking statements are subject to risks and uncertainties and other important factors. These and many other
factors could cause delivery of products, features or enhancements to differ materially from expectations based on
these forward-looking statements. Continuum Analytics does not undertake an obligation to update its forward-looking
statements to reflect future events or circumstances.
Open Data Science Core
High Performance Computing
Data Science Collaboration
Excel Data Science
Open Data Science Hub
share data science
assets & applications
via REST APIs
Manage & share data
science projects &
SECURE DATA &
With Anaconda Enterprise life just got a
whole lot easier…
Learn more: https://www.continuum.io/blog/developer-
Start with next gen Anaconda Enterprise now
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