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From Apache Wiki <wikidi...@apache.org>
Subject [Incubator Wiki] Update of "Marvin-AI" by lresende
Date Wed, 15 Aug 2018 18:48:36 GMT
Dear Wiki user,

You have subscribed to a wiki page or wiki category on "Incubator Wiki" for change notification.

The "Marvin-AI" page has been changed by lresende:
https://wiki.apache.org/incubator/Marvin-AI

New page:
== Abstract ==
  Marvin-AI is an open-source artificial intelligence (AI) platform that helps data scientists,
prototype and productionize complex solutions with a scalable, low-latency, language-agnostic,
and standardized architecture while simplifies the process of exploration and modeling.

= Proposal =
  Marvin helps non-experienced developers create industry-grade AI applications. It has three
core components:  a development environment to be used during data exploration and hypothesis
validation (Toolbox), a library which should be extended to create Marvin engines, and a Scala
application server which interprets engines (Engine Executor).
A basic premise of Marvin is that it should be language-agnostic, able to interpret engines
implemented in different programming languages.

=== Background ===
  The Marvin AI project was initiated as an internal project at B2W Digital (Brazil), the
largest e-commerce company in Latin America. Nowadays, it is used by all data scientists within
the B2W team. Oftentimes, data scientists don't have an extensive background in software engineering,
yet are in charge of creating AI applications that need to scale to  high throughput and provide
millisecond-level response times. At B2W, Marvin AI plays an important role in this process,
abstracting advanced software engineering procedures, allowing data scientists to focus on
their knowledge domain.

=== Rationale ===
  With recent advances in computer architecture and a corresponding increase in the amount
of data generated by always-connected devices, AI algorithms offer a solution to problems
that have long troubled modern corporations. Since AI developers come from various fields,
such as statistics, physics, and math, there exists a strong need for platforms which enable
 them to move from prototypes to enterprise applications. Although some tools claim to offer
this service, in reality there is no reliable open-source solution.

=== Initial Goals ===
  The initial goals will most likely be to merge the existing codebase into a single repository,
migrate it to Apache, and then integrate with the Apache development process. Furthermore,
we plan for incremental development and releases, as per Apache guidelines.

=== Current Status ===
 
* '''Meritocracy:'''

  Marvin already works under principles of meritocracy. Today, Marvin already has some contributors
that are part of other institutions. Although there is no formal process defined to become
a committer, contributors that make major changes/improvements to the platform are naturally
granted write access to the repository.


 * '''Community:'''

 Acceptance into the Apache foundation would substantially boost both Marvin's user and developer
communities. The current community includes a few experienced developers that have either
academic or professional experience with AI. The community is largely comprised of data scientists
working at B2W and other companies such as Cloudera, MIT, Qume Labs, Laguro.com and CBYK.
Also, there is a  meetup group of hundreds of users who meet regularly to exchange ideas about
Marvin and, more generally, AI.

Reference to the group: https://www.meetup.com/marvin-ai/members/

 * '''Core Developers:'''
 
 The core developers for Marvin are listed in the contributors list and initial PPMC below.
These lists include B2W employees, MIT students, UFSCAR researchers, independent contributors,
and some employees of other companies like: Cloudera, Qume Labs, Laguro.com and CBYK.

 * '''Alignment:'''

The initial committers strongly believe that by being part of the Apache Software Foundation,
Marvin AI will be part of a comprehensive  suite for AI applications that can process big
data and enable enterprises to extract value from their datalakes. Also, we hope that by integrating
with other Apache projects such as Apache Spark, Apache Hadoop; that this will foster additional
collaboration between these projects furthering the already existing integration points and
expanding the community of contributors.


'''Known Risks'''

 * '''Orphaned products''':

Given the current maturity of Marvin and how well it has been received at technical conferences,
the risk of the project being abandoned is minimal. AI is not academia-exclusive anymore,
and as enterprises start to add data-science pipelines to their applications, demand for Marvin
will only increase.

 * '''Inexperience with Open Source:'''

Marvin AI has been an open-source project since October 2017. The project was started in a
company where open-source culture is foundational. B2W Digital runs the largest e-commerce
in Latin America on top of open-source projects.

 * '''Reliance on Salaried Developers''':

Marvin AI receives substantial efforts from salaried developers -- a few of which were hired
by companies to work exclusively for the project -- but the majority devote "after-hours"
or spare time to this project. Some developers are graduate students that contribute in their
free time at school.

 * '''Relationships with Other Apache Products:'''

 Marvin integrates with several Apache products, such as Hadoop (HDFS) and Spark. Marvin shares
some similar features with PredictionIO, specifically the model application server and a design
pattern that was inspired by the DASE. Despite these similarities, Marvin is catered towards
a different clientele (data scientists), and for that reason it includes many critical features
that are not provided by PredictionIO.

 * '''An Excessive Fascination with the Apache Brand:'''

While the ASF brand will undoubtedly help Marvin become a successful project, Marvin is already
gaining traction at  companies around the globe.

'''Documentation'''

http://www.marvin-ai.org


'''Initial Source'''

The current codebase is available at http://github.com/marvin-ai. This is practically the
same code that will by migrated to the Apache Foundation, the notable difference being that
the multiple repositories will be merged into a single repository (if necessary).

This are the main repositories and a very simplified explanation about each one:

Main repositories

marvin-ai/marvin-python-toolbox - DataScient toolbox thats help in the creation of new ML
engines;

marvin-ai/marvin-engine-executor - Component responsible for interpret, serve and manage marvin
engines.

marvin-ai/marvin-public-engines - Marvin engine examples to help new marvin users to build
engines;

marvin-ai/marvin-platform-book - Documentation in github book site format;

Secondary repositories (Experimental and Initial)

marvin-ai/marvin-vagrant-dev - Development environment thats uses virtualbox and vagrant to
non mac and linux users;

marvin-ai/marvin-paper - Source code (latex format) of the first marvin paper published in
PAPIS.io conference in Boston.

marvin-ai/marvin-cluster-admin - Admin module responsible to manage marvin cluster;

marvin-ai/marvin-automl - AutoML module responsible to help no datascients to build machine
learning models with a very simples visual interface;


'''External Dependencies''':

 It is very likely that all our dependencies are using either the Apache or MIT license. Upon
acceptance to the incubator, we would begin a thorough analysis of all transitive dependencies
to verify this fact and introduce license checking into the build and release process.

'''Required Resources''':

 * '''Mailing lists:'''

* private@marvin-ai.incubator.apache.org (with moderated subscriptions)
* dev@marvin-ai.incubator.apache.org
* commits@marvin-ai.incubator.apache.org


 * '''Git Repositories:'''

https://git-wip-us.apache.org/repos/asf/incubator-marvin-ai.git


 * '''Issue Tracking:'''

   JIRA Marvin (MARVIN-AI)

'''Initial Committers'''

- Lucas Bonatto Miguel <lucasbonatto@gmail.com> - Qume Labs (California - USA)
- Daniel Takabayashi <daniel.takabayashi@gmail.com> - B2W Digital (São Paulo - BR)
/ Laguro.com (California - USA)
- Bruno Piraja <bruno.piraja@b2wdigital.com> - B2W Digital (São Paulo - BR)
- Zhang Yifei <zhang.yifei@b2wdigital.com> - B2W Digital (São Paulo - BR)
- Harrison Wang (hwang123@mit.edu) - MIT (USA)
- Brody West (brodyw@mit.edu) - MIT (USA)
- Rafael Novello <rafael.novello@b2wdigital.com> - B2W Digital (São Paulo - BR)
- Willian Leite <willian.leite@cbyk.com.br> - CBYK (São Paulo - BR)
- Danilo Nunes <nunesdanilo@gmail.com> - Qume Labs (California - USA)
- Alan Silva <alan.silva@cloudera.com> Cloudera (USA)
- Jeremy Elster <jeremy.elster@b2wdigital.com> - B2W Digital (São Paulo - BR)


'''Sponsors'''

 * '''Champion:'''

Luciano Resende - (lresende)

 * '''Nominated Mentors:'''

Luciano Resende - (lresende)

 * '''Sponsoring Entity''':

The Apache Incubator

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