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Interview to Arpit Joshipura, General Manager, Networking, The Linux Foundation

Interview to Arpit Joshipura, General Manager, Networking, The Linux Foundation
 

Q1 - Can you briefly explain what is LF vision of AI&ML?

The Linux Foundation supports technical communities in the artificial intelligence, machine learning and deep learning (AI/ML/DL) spaces with the LF Deep Learning Foundation. Our vision for the LF Deep Learning Foundation is to provide a neutral home for Open Source projects in AI/ML/DL and to in turn facilitate their collaboration, harmonization and growth.

Q2 - So, from your perspective, what are the major benefits of making AI&ML a LF project (i.e. the LF Deep Learning Foundation project)?

We provide a neutral home for governance of both individual technical AI/ML/DL projects but also support projects with common infrastructure, all while leveraging The Linux Foundation’s proven governance models for both community-driven technical development. From a Technical perspective, the LF Deep Learning Foundation provides a framework to allow data scientists and domain experts to share learnings and templates which help accelerate the global adoption of AI.

Q3 - Can you elaborate about relationship among Operators, Vendors and Integrators in this LF project?

The Linux Foundation seeks to “democratize” artificial intelligence, in that we want to make the tools of artificial intelligence available to not just data scientist and machine learning experts, but to a wide range of end-users that can use these new technologies to improve decision-making and drive results.
We view the LF Deep Learning Foundation and its supported projects as a common ground for collaboration among both vendors and users of technology technology. We seek to enable a “positive feedback loop” where solutions-oriented AI/ML/DL projects drive positive user experiences and results, with users then re-investing these experiences back into the same AI/ML/DL projects. The first project supported by the LF Deep Learning Foundation is the Acumos AI Project, which is a framework for the development and sharing of AI models and workflows. With Acumos, the community (including both users and vendors) can share AI models and collaborate on the development of AI workflows. Acumos AI allows sharing of templates within each vertical (e.g., Telecom) that integrates machine learning tools, data sharing, infrastructure and microservices.

Q4 - What is the relationship between the LF Deep Learning Foundation Project and other Foundation Projects (i.e. LFN) ?

Like LFN, the LF Deep Learning Foundation is a community-driven umbrella project of The Linux Foundation. LFN supports LF projects within the networking space, while LF Deep Learning Foundation supports LF projects in the AI/ML/DL space. We expect cross-collaboration at both the umbrella project layer (LFN-to-LF Deep Learning Foundation) but also between and among the technical projects supported by each umbrella project. For example, we anticipate that the Acumos AI Project will support AI models relating to the networking space, and we look forward to the possibility of LFN members and supported projects leveraging the Acumos marketplace.

Q5 - Do you have any sign of wide adoption of AI/ML Open Source? What is the feedback?

We see significant interest from our communities to support projects in the AI/ML/DL space.  Open source projects are well positioned to enable collaborative development in this area, and we look forward to seeing what we anticipate to be significant growth in open source AI/ML/DL development in the years to come. While there are many important AI/ML/DL open source development efforts already under way, we are very excited by the growth opportunities in open source in this area. The most important feedback we have received is in 2 areas. First, not everyone is a data scientist and a machine learning/algorithm expert. Second, for common problems that face different verticals, let us not all reinvent the solution. This is the heart of LF Deep Learning’s objective.

Q6 - Finally, what value would you expect from the participation of Operators in LF Deep Learning Foundation project?

Like all our projects, we would hope that participants contribute to the development of the project and share in the collaborative development of numerous code bases. We also see the LF Deep Learning Foundation as a neutral home for fostering new AI/ML/DL development efforts which will benefit not only individual LF Deep Learning Foundation participants, but an entire ecosystem of AI/ML/DL solutions.

 

Arpit Joshipura brings over 25 years of networking expertise and vision to The Linux Foundation, with technical depth and business breadth. He has instrumented and led major industry disruptions across enterprises, carriers, and cloud architectures, including IP, broadband, optical, mobile, routing, switching, L4-7, cloud, disaggregation, SDN/NFV, and open networking, and has been an early evangelist for open source. Arpit has served as CMO/VP in startups and larger enterprises, including Prevoty, Dell/Force10, Ericsson/Redback, ONI/CIENA, and BNR/Nortel, leading strategy, product management, marketing, engineering, and technology standards functions.  

  ajoshipura@linuxfoundation.org

 

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