Off course, my +1 (binding) On Tue, Aug 21, 2018 at 10:43 AM Luciano Resende <luckbr1...@gmail.com> wrote:
> After the initial discussion, please vote on the acceptance of Marvin-AI > Project for incubation at the Apache Incubator. The full proposal is > available at the end of this message and on the wiki at : > > https://wiki.apache.org/incubator/Marvin-AI > > Please cast your votes: > > [ ] +1, bring Marvin-AI into Incubator > [ ] +0, I don't care either way > [ ] -1, do not bring Marvin-AI into Incubator, because... > > The vote is open for the next 72 hours and only votes from the > Incubator PMC are binding. > > === > > = Marvin-AI = > > == Abstract == > > Marvin-AI is an open-source artificial intelligence (AI) platform that > helps data scientists, prototype and productionalize 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 contributor's 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 data lakes. 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 be migrating to the Apache Foundation, > the notable difference being that the multiple repositories will be merged > into a single repository (if necessary). > > These are the main repositories and a very simplified explanation about > each one: > > '''Main repositories''' > > * marvin-ai/marvin-python-toolbox - Data Science toolbox that helps in > the creation of new ML engines > * marvin-ai/marvin-engine-executor - Component responsible for > interpreting, serving and managing 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 that 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 data > scientist to build machine learning models with a very simple 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 === > > * priv...@marvin.incubator.apache.org (with moderated subscriptions) > * d...@marvin.incubator.apache.org > * comm...@marvin.incubator.apache.org > > > === Git Repositories === > > * https://git-wip-us.apache.org/repos/asf/incubator-marvin.git > > === Issue Tracking === > > * JIRA (MARVIN) > > == Initial Committers == > > * Lucas Bonatto Miguel <lucasbona...@gmail.com> - Qume Labs (California > - USA) > * Daniel Takabayashi <daniel.takabaya...@gmail.com> - B2W Digital (São > Paulo - BR) / Laguro.com (California - USA) > * Bruno Piraja <bruno.pir...@b2wdigital.com> - B2W Digital (São Paulo - > BR) > * Zhang Yifei <zhang.yi...@b2wdigital.com> - B2W Digital (São Paulo - BR) > * Harrison Wang <hwang...@mit.edu> - MIT (USA) > * Brody West <bro...@mit.edu> - MIT (USA) > * Rafael Novello <rafael.nove...@b2wdigital.com> - B2W Digital (São > Paulo - BR) > * Willian Leite <willian.le...@cbyk.com.br> - CBYK (São Paulo - BR) > * Danilo Nunes <nunesdan...@gmail.com> - Qume Labs (California - USA) > * Alan Silva <alan.si...@cloudera.com> Cloudera (USA) > * Jeremy Elster <jeremy.els...@b2wdigital.com> - B2W Digital (São Paulo > - BR) > > > == Sponsors == > > === Champion === > > * Luciano Resende - (lresende) > > === Nominated Mentors === > > * Luciano Resende - (lresende) > * Jim Jagielski - (jim) > * William Colen - (colen) > > === Sponsoring Entity === > We would like to propose the Apache Incubator to sponsor this project. > > > -- > Luciano Resende > http://twitter.com/lresende1975 > http://lresende.blogspot.com/ > -- Luciano Resende http://twitter.com/lresende1975 http://lresende.blogspot.com/
