Multi-tenancy in Machine learning (the SaaS perspective)

Jul 2019

22 Mon

23 Tue

24 Wed

25 Thu 09:15 AM – 05:45 PM IST

26 Fri 09:20 AM – 05:30 PM IST

27 Sat

28 Sun

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Accepting submissions till 15 Jun 2019, 01:00 PM

NIMHANS Convention Centre, Bengaluru

Tickets

Pinned update

The Fifth Elephant Winter edition starts at 9:30 am; live stream for members This update is for participants only

##The eighth edition of The Fifth Elephant will be held in Bangalore on 25 and 26 July. A thousand data scientists, ML engineers, data engineers and analysts will gather at the NIMHANS Convention Centre in Bangalore to discuss:

Model management, including data cleaning, instrumentation and productionizing data science.
Bad data and case studies of failure in building data products.
Identifying and handling fraud + data security at scale
Applications of data science in agriculture, media and marketing, supply chain, geo-location, SaaS and e-commerce.
Feature engineering and ML platforms.
What it takes to create data-driven cultures in organizations of different scales.

##Highlights:

1. Meet Peter Wang, co-founder of Anaconda Inc, and learn about why data privacy is the first step towards robust data management; the journey of building Anaconda; and Anaconda in enterprise.
2. Talk to the Fulfillment and Supply Group (FSG) team from Flipkart, and learn about their work with platform engineering where ground truths are the source of data.
3. Attend tutorials on Deep Learning with RedisAI; TransmorgifyAI, Salesforce’s open source AutoML.
4. Discuss interesting problems to solve with data science in agriculture, SaaS perspective on multi-tenancy in Machine Learning (with the Freshworks team), bias in intent classification and recommendations.
5. Meet data science, data engineering and product teams from sponsoring companies to understand how they are handling data and leveraging intelligence from data to solve interesting problems.

##Why you should attend?

Network with peers and practitioners from the data ecosystem
Share approaches to solving expensive problems such as cleanliness of training data, model management and versioning data
Demo your ideas in the demo session
Join Birds of Feather (BOF) sessions to have productive discussions on focussed topics. Or, start your own Birds of Feather (BOF) session.

##Full schedule published here: https://hasgeek.com/fifthelephant/2019/schedule

##Contact details:
For more information about The Fifth Elephant, sponsorships, or any other information call +91-7676332020 or email info@hasgeek.com

#Sponsors:

Sponsorship Deck.
Email sales@hasgeek.com for bulk ticket purchases, and sponsoring 2019 edition of JSFoo:VueDay.

JSFoo:VueDay 2019 sponsors:

#Platinum Sponsor

#Community Sponsors

#Exhibition Sponsors

#Bronze Sponsor

#Community Sponsors

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The Fifth Elephant

The Fifth Elephant - known as one of the best data science and Machine Learning conference in Asia - has transitioned into a year-round forum for conversations about data and ML engineering; data science in production; data security and privacy practices. more

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This submission has been added to the schedule

Multi-tenancy in Machine learning (the SaaS perspective)

Submitted Jul 19, 2019

Session type: BOF session of 1 hour Session type: Birds of a Feather session of 1 hour

Given the emergence of several SaaS product companies in India, there’s a lot of recent interest in provisioning ML capabilities over the cloud; and enabling SaaS customers make use of such capabilites through a self-serve model. These SaaS customers should be able to tailor the ML capabilities on-the-fly to suit their needs, e.g. they should be able to adjust confidence thresholds of a virtual chat bot as a fuction of their inbound query volumes and satisfaction levels. They should also be able to plug in custom datasets pertaining to their business and train the ML models further. We also strive towards improving bootstrap performance, i.e. a customer should be able to do minimal work and start consuming these ML features over the cloud. We also provision feedback loops with-in our products, and manage the real-time infrastructure for consuming feedback from customers (and customers of customers) at scale.

Freshworks is one of the largest SaaS startups in the country which offers cloud-based ominchannel customer engagement software. We are integrating AI/ML capabilites across our software suite which spawns across functions such as marketing, sales, customer success and support. We face several challenges on a day-to-day basis which concerns with enabling multi-tenancy in ML. We will also be discussing a few case studies based on our experience.

Outline

Multi-tenant ML models - enabling self-serve of ML capabilities at scale
Customizable ML models - enabling customers to seamlessly tailor models to fit their needs
Vertical-specific models - training models at an industry-level, making ML features available to new customers from day 0
Learning from continuous feedback at scale
Case studies - Automation through Virtual assistants (chatbots, intent detection, lead scoring)

Speaker bio

Swaminathan Padmanabhan is currently Director, Datascience at Freshworks. He has been with Freshworks Inc since 2017 and has built a team of ~20 ML Engineers and Data scientists, who are based out of both the Bangalore and Chennai R&D centers. Prior to joining Freshworks, Swaminathan was heading the Datascience function at Olacabs, Bangalore; where he was leading a team of ~35 Research Engineers, Systems engineers and Data scientists. An alumnus of IIT Madras, he was also associated in the past with Inmobi and Yahoo Inc.

We’ll also have 1-2 external participants and 2-3 other participants from the Datascience team at Freshworks join the BoF session.

Other Freshworks participants:
Suvrat Hiran - Lead ML engineer (9632657694)
Varun Nathan - Lead Data scientist (9445356949)

External participants: TBD

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