17-Dec Developing Strategic Partnerships for B2B SaaS PlaybookRT

How is developing partnerships different from selling to customers? What are the Dos & Dont’s? What can you expect on this journey? Get inspired by direct insights from CloudCherry’s experience on building partnerships with companies like Microsoft, Cisco, Nielsen, Salesforce and more. Interact with founders on this critical aspect of building partnerships for growth & scale. The partnerships playbook will help clarify these and other deeper questions on building Deep Strategic Partnerships.

We are building a new cohort of 20 startups for our Potential Strategic Partnerships program. If you are interested to be part of the cohort this playbookRT is a requirement.

Click to Register for the Strategic Partnerships Playbooks Track. (limited invites)

Our Maven

 

Vinod Muthukrishnan

Founder CloudCherry

 

 

This is a product startup founder/CXO (+1) invite-only events. Venue details will be sent along with the confirmation of your registration.

RoundTables are facilitated by an iSPIRT maven who is an accomplished practitioner of that Round-Table theme. All iSPIRT playbooks are Pro-bono, Closed room, Founder (+1), invite-only sessions. The only thing we require is a strong commitment to attend the sessions completely and to come prepared, to be open to learning & unlearning, and to share your context within a trusted environment. All key learnings are public goods & the sessions are governed by the Chatham House Rule.

8-Dec Digital Lending PlaybookRT for Bharat Entrepreneurs

With the maturity and large-scale adoption of digital payments & UPI, GST,  and an upcoming public credit registry, there is a unique opportunity to re-imagine credit products for Bharat MSMEs like never before. The digitization is set to generate significant value, moving from the traditional asset-based lending to flow based lending. Join us for an interactive roundtable on what is required for this transformation?

Click to Register for the Digital Lending playbookRT. (limited invites)

Our Maven

Praveen Hari

iSPIRT Foundation

 

 

This is a product startup founder/CXO (+1) invite-only events. Venue details will be sent along with the confirmation of your registration.

RoundTables are facilitated by an iSPIRT maven who is an accomplished practitioner of that Round-Table theme. All iSPIRT playbooks are Pro-bono, Closed room, Founder (+1), invite-only sessions. The only thing we require is a strong commitment to attend the sessions completely and to come prepared, to be open to learning & unlearning, and to share your context within a trusted environment. All key learnings are public goods & the sessions are governed by the Chatham House Rule.

4-Dec Unlock Bharat Market Using IndiaStack (Delhi)

India has leapfrogged the rest of the world by creating ‘India Stack’, a technology stack consisting of open APIs launched by the Govt of India. The idea is that established and startup enterprises can use these APIs to build innovative solutions focused on improving access to services for the general population.

This is creating a huge impact on what has been referred to Bharat #2 or India #2. This is an audacious effort. It requires alignment and creation of entire value chain such wholesale capital availability, removal of regulation cholesterol, platform, reference implementation & pilots. As part of the session, You can also gain deeper insights into the application of India Stack and potential solutions for E – Sign, United Payment Interface, Good Services Tax, RBI’s Public Credit Registry, Dronestack for Agriculture Lending and Bharat Bill Payment Service as part of this exciting Digital Transformational Journey, that has the power to transform the way we function as a nation.

If you are a startup in the fintech & other sectors and are committed to the goal of tech-enabled financial inclusion for the Unlocking Bharat Market. 

Click to Register Now. (Limited invites, Open for All)

Our Maven

Praveen Hari

iSPIRT Foundation

 

 

 

This is a product startup founder/CXO (+1) invite-only events. Venue details will be sent along with the confirmation of your registration.

RoundTables & Learning Sessions are facilitated by an iSPIRT maven who is an accomplished practitioner of that Round-Table theme. All iSPIRT playbooks are Pro-bono, Closed room, Founder (+1), invite-only sessions. The only thing we require is a strong commitment to attend the full session completely, and to come prepared, to be open to learning & unlearning, and to share your context within a trusted environment. All key learnings are public goods & the sessions are governed by the Chatham House Rule.

4-Dec Drones & the Digital Sky PlaybookRT for Bharat Entrepreneurs

The govt is soon to launch Digital Sky – an enabling platform for Drones. With the new regulations, who will be the winners and who will lose? What is the best long-term winning play for your startup? Join other companies and the iSPIRT team behind Digital Sky in our playbook roundtable to know more.

Click to Register for the DigitalSky playbookRT. (limited invites)

Our Maven

Tanuj Bhojwani

iSPIRT Foundation

 

 

 

This is a product startup founder/CXO (+1) invite-only events. Venue details will be sent along with the confirmation of your registration.

RoundTables are facilitated by an iSPIRT maven who is an accomplished practitioner of that Round-Table theme. All iSPIRT playbooks are Pro-bono, Closed room, Founder (+1), invite-only sessions. The only thing we require is a strong commitment to attend the sessions completely and to come prepared, to be open to learning & unlearning, and to share your context within a trusted environment. All key learnings are public goods & the sessions are governed by the Chatham House Rule.

24-Nov Deep Strategic Partnerships PlaybookRT In Bangalore

Strategic Partnerships is one of the 3 shifts for SaaS, and Vijay Rayapati provided very grounded insights on partnership building at SaaSx5. One of the takeaways was that pitching to a strategic partner is very different than pitching to an investor or even to a customer.

The partnership mindset is different from sales, says Abhishek. Come, join us to learn ‘How do you change your perspective from acquiring customers to cultivating partners? Why partnerships are critical? What are the tangible and intangible outcomes?’ The partnerships playbook will help clarify these and other deeper questions on building Deep Strategic Partnerships.

We are building a new cohort of 20 startups for our Potential Strategic Partnerships program. If you are interested to be part of the cohort this playbookRT is a requirement.

Click to Register for the Strategic Partnerships Playbooks Track. (limited invites)

Our Maven

 

Abhishek Kumar

Founder ToneTag

 

 

This is a product startup founder/CXO (+1) invite-only events. Venue details will be sent along with the confirmation of your registration.

RoundTables are facilitated by an iSPIRT maven who is an accomplished practitioner of that Round-Table theme. All iSPIRT playbooks are pro-bonoclosed roomfounder-level (+1), invite-only sessions. The only thing we require is a strong commitment to attend the sessions completely and to come prepared, to be open to learning & unlearning, and to share your context within a trusted environment. All key learnings are public goods & the sessions are governed by the Chatham House Rule.

27-Oct MiniRoundTable on WhyAI for B2B SaaS

The MiniRT Agenda

  • Seeding & creating an active discussion on Why AI/ML? What is the higher order value being created?
  • How to identify the value & opportunities to leverage AI?
  • How to get started with an AI playground (if not already running)?
  • How to think of data needs for AI/ML investments,
  • How to address the impact on Product & Business…

This is part of our AI/ML roundtables for B2B SaaS. Insights from these sessions are meant to help refine our approach & readiness to leverage AI/ML for building higher order value products. And in doing so building a vibrant community focused around navigating this shift.

Click to Register for the AI/ML Playbooks Track. (limited invites)

Our Mavens

Adarsh Natarajan

Founder & CEO AIndra

 

Notes

This is a product startup founder/CXO (+1) invite-only events. Venue details will be sent along with the confirmation of your registration.

RoundTables are facilitated by an iSPIRT maven who is an accomplished practitioner of that Round-Table theme. All iSPIRT playbooks are pro-bono, closed roomfounder-level (+1), invite-only sessions. The only thing we require is a strong commitment to attend the sessions completely and to come prepared, to be open to learning & unlearning, and to share your context within a trusted environment. All key learnings are public goods & the sessions are governed by the Chatham House Rule.

18-Oct MiniRoundtable on AI/ML Tools & ML/DL challenges

The MiniRT Agenda

  • The current state of AI/ML tools & frameworks.
  • Share & discuss ML & Deep Learning challenges in your products.

Insights from these sessions are meant to help refine our approach & readiness to leverage AI/ML for building higher order value products. And in doing so building a vibrant community focused around navigating this shift.

Click to Register for the AI/ML Playbooks Track. (limited invites)

Our Maven: Viral Shah
Co-creator of Julia Language,
Co-founder Julia Computing

Notes

This is a product startup founder/CXO (+1) invite-only events. Data scientist leads in a product startup are also welcome to register. On confirmation, the venue details will be sent along with the confirmation of your registration.

RoundTables are facilitated by an iSPIRT maven who is an accomplished practitioner of that Round-Table theme. All iSPIRT playbooks are pro-bono, closed roomfounder-level (+1), invite-only sessions. The only thing we require is a strong commitment to attend the sessions completely and to come prepared, to be open to learning & unlearning, and to share your context within a trusted environment. All key learnings are public goods & the sessions are governed by the Chatham House Rule.

6-Oct MiniRoundTable on WhyAI for B2B SaaS

The MiniRT Agenda

  • Seeding & creating an active discussion on Why AI/ML? What is the higher order value being created?
  • How to identify the value & opportunities to leverage AI?
  • How to get started with an AI playground (if not already running)?
  • How to think of data needs for AI/ML investments,
  • How to address the impact on Product & Business…

Insights from these sessions are meant to help refine our approach & readiness to leverage AI/ML for building higher order value products. And in doing so building a vibrant community focused around navigating this shift.

Click to Register for the AI/ML Playbooks Track.

Notes

This is a product startup founder/CXO (+1) invite-only events. Venue details will be sent along with the confirmation of your registration.

RoundTables are facilitated by an iSPIRT maven who is an accomplished practitioner of that Round-Table theme. All iSPIRT playbooks are pro-bono, closed roomfounder-level (+1), invite-only sessions. The only thing we require is a strong commitment to attend the sessions completely and to come prepared, to be open to learning & unlearning, and to share your context within a trusted environment. All key learnings are public goods & the sessions are governed by the Chatham House Rule.

AI/ML is not Sexy

One would think that the new sexy in the startup capital of the world is self-driving cars, AI/ML… I got news for you! AI/ML (esp. Machine Learning) is not listed in Gartner’s hype cycle for 2018.

Source: https://commons.wikimedia.org/wiki/File:Hype-Cycle-General.png

This was corroborated on my recent trip to the valley and the US east coast, where I met several investors, founders, corp dev and other partners of the startup community. It was evident that the AI/ML hype which peaked in 2016 & 2017 is no longer considered a buzzword. It is assumed to be table stakes. What you do with AI/ML is something everyone is willing to listen to. Using AI/ML to solve a high-value B2B SaaS problem is Sexy! (Gartner trends for 2018).

As the hype with AI/ML settles down, B2B startups across the globe are discovering the realities of working the AI/ML shifts for SaaS. Many AI tools & frameworks in the tech stack are still evolving and early pioneers are discovering constraints in the stack and creatively building workarounds as they build their products.

Many entrepreneurs are watching from the sidelines the unfolding of the AI/ML hype, wondering on many valid questions like these (and more):

Q: Do I have to stop what we are building and jump onto the AI bandwagon? No.
Q: Are the AI/ML resources mature & stable to build better value products? No, they are still evolving.
Q: Do I need expensive investments in constrained resources? No, not until you have a high-value problem to solve.

B2B SaaS startups go through 2 key struggles. How to find market-fit and survive? And how to stay relevant and grow. And if you don’t evolve or reinvent as the market factors change, there are high chances for an upstart to come by and disrupt you. The iSPIRT entrepreneur playbooks look to help entrepreneurs get clarity on such queries and more. Our goal is to help our startups navigate such market shifts, stay relevant and grow. Our mini roundtables Playing with AI/ML are focused on WhyAI for SaaS discussions in multiple cities. If you or a startup you know may benefit do register

The MiniRT Agenda

Seeding & creating an active discussion on Why AI/ML? What is the higher order value being created? How to identify the value & opportunities to leverage AI? How to get started with an AI playground (if not already running)? How to think of data needs for AI/ML investments, How to address the impact on Product & Business… Insights from these sessions are meant to help refine our approach & readiness to leverage AI/ML for building higher order value products. And in doing so building a vibrant community focused around navigating this shift.

Upcoming PlaybookRTs on AI/ML

6-Oct (Chennai) 10 am – 1 pm – MiniRoundTable on WhyAI for B2B SaaS – Shrikanth Jagannathan, PipeCandy Inc
18-Oct (Bangalore) 6 pm – 8 pm MiniRoundTable with Dr Viral Shah on AI/ML Tools & discuss your ML/DeepLearning challenges
27-Oct (Delhi/Gurgaon) 2 pm – 6 pmMiniRoundTable on WhyAI for B2B SaaS, Adarsh Natarajan, CEO & Founder – Aindra Systems
TBD (Bangalore)MiniRoundTable on WhyAI for B2B SaaS, (based on registered interest)
TBD (Mumbai)MiniRoundTable on WhyAI for B2B SaaS, (based on registered interest)

The AI+SaaS game has just begun and it is the right time for our hungry entrepreneurs to Aspire for the Gold, on a reasonable level playing field.

Click to Register for the AI/ML Playbooks Track.

Please note: All iSPIRT playbooks are pro-bono, closed room, founder-level, invite-only sessions. The only thing we require is a strong commitment to attend all sessions completely and to come prepared, to be open to learning & unlearning, and to share your context within a trusted environment. All key learnings are public goods & the sessions are governed by the Chatham House Rule.

Image source: https://commons.wikimedia.org/wiki/File:Hype-Cycle-General.png

Interesting Reads

The slow, light touch of AI in Indian Saas

SaaSy bear SaaSy bear what do you see?

Shifts for SaaS - SaaSy Bear

I see 3 shifts critical for me!

Taking a line from the popular Brown Bear children’s book, I believe that our SaaS startups have a real opportunity to leverage some leading shifts in the global SaaS evolution. While there are many areas of change – and none less worthy than the other – I am highlighting 3 shifts for SaaS (tl;dr) which our entrepreneurs can actually work with and help change their orbit:

  • Market shifts with AI/ML for SaaS to build meaningful product & business differentiation,
  • Platform Products shift to transform into a multi-product success strategy,
  • Leveraging Partnerships for strategic growth and value co-creation.

Some background

I joined iSPIRT with a goal to help our community build great global products. I believed (and still do) that many entrepreneurs struggle with the basics of identifying a strong value proposition and build a well thought out product. They need strong support from the community to develop a solid product mindset & culture. My intent was to activate a product thinkers community and program leveraging our lean forward playbooks model.

I had several conversations with community members & mavens on playbooks outcomes and iterating our playbook roundtables for better product thinking. I realized that driving basic product thinking principles required very frequent and deeper engagement with startups. But our playbooks approach model – working in a distributed volunteer/maven driven model – is not set up to activate such an outcome. Through our playbooks model, our mavens had helped startups assimilate best practices on topics like Desk Sales & Marketing, something that was not well understood some years back. This was not a basic topic. The power of our playbook RTs was in bringing the spotlight on gaps & challenges that were underserved but yet highly impactful.

As a product person, I played with how to position our playbooks for our entrepreneur program. I believe our playbooks have always been graduate-level programs and our entrepreneurs are students with an active interest to go deep with these playbooks, build on their basic undergraduate entrepreneurship knowledge, and reach higher levels of growth.

The product thinking and other entrepreneurial skills are still extremely relevant, and I am comforted by the fact that there are many community partners from accelerators like Upekkha to conclaves like NPC and event-workshop formats like ProductGeeks which are investing efforts to build solid product thinking & growth skills.

As the SaaS eco-system evolves, and as previous graduate topics like desk sales & marketing are better understood, we need to build new graduate-level programs which address critical & impactful market gaps but are underserved. We need to help startups with meaningful & rapid orbit shifts over the next 2-3 years.

Discovering 3 Shifts for SaaS

Having come to this understanding I began to explore where our playbooks could continue to be a vibrant graduate-level program and replicate our success from the earlier playbooks. Similar to an entrepreneur’s journey, these three shifts became transparent through the many interactions and explorations of SaaS entrepreneurs.

Market Shift with AI/ML for SaaS

There is no doubt that AI is a tectonic shift. The convergence of big data availability, maturity of algorithms, and affordable cloud AI/ML platforms, has made it easy for SaaS startups to leverage AI/ML. During a chance roundtable learning session on Julia with Dr. Viral Shah & Prof Alan Edelman, it was clear that many entrepreneurs – head down into their growth challenges – were not aware of the realities behind the AI hype. Some thought AI/ML should be explored by their tech team, others felt it required a lot of effort & resources. The real challenge, however, is to discover & develop a significantly higher order AI-enabled value to customers than was feasible 2 years ago. While AI is a technology-driven shift, the implications for finding the right product value and business model are even greater.

As I explored the AI trend I saw a pattern of “gold rush” – build a small feature with rudimentary AI, market your product as an AI product… – making early claims with small changes which do not move the needle. It became clear that a step-by-step pragmatic thinking by our SaaS startups was required to build an AI-based leapfrog value proposition. This could help bring our startups to be at “par” and potentially even leap ahead of our global brethren. Here was an opportunity to create a level playing field, to compete with global players and incumbents alike.

To validate my observations, I did quick small research on SaaS companies outside of India on their approach with AI. I found quite a few startups where AI was already being leveraged intrinsically and others who were still trying to make sense. Investments varied from blogging about the AI trend, branding one as a thought leader, to actually building and delivering a strongly differentiated product proposition. E.g.:

There are no successes, yet! Our startups like Eka, Wingify, FreshWorks, WebEngage… have all been experimenting with AI/ML, stumbling and picking themselves up to build & deliver a higher level of value. Some others are setting up an internal playground to explore & experiment. And many others are waiting on the shore unsure of how to board the AI ship.

How do we enable our companies to create new AI playgrounds to analyze, surface, validate and develop higher order customer values & efficiencies? To chart a fruitful journey with AI/ML there are many challenges that need to be solved. And doing it as a group running together has a better chance of success.

The AI+SaaS game has just begun and it is the right time for our hungry entrepreneurs to Aspire for the Gold on a reasonable level playing field.

Shift to Platform Products

As market needs change, the product needs a transform. As new target segments get added different/new product assumptions come into play. In both these scenarios existing products begin to age rapidly and it becomes important for startups to re-invent their product offerings. To deal with such changes startups must experiment and iterate with agility. They require support from a base “internal” platform to allow them to transform from a single product success strategy to scaling with multiple products strategy.

This “internal” base platform – an infrastructure & layout of technology components to interconnect data & horizontal functional layers – would help to build & support multiple business specific problem-solution products (vertical logics). The products created on such a platform provide both independent as well as a combined value proposition for the customers.

Many startups (Zendesk, Freshdesk, Eka, WebEngage…) have undertaken the painful approach of factoring an internal platform to transform their strategy & opportunity. Zoho has been constantly reinventing itself and launching new products on a common platform, some of which are upending incumbent rivals in a very short period of time. WebEngage transformed itself from a “tool” into an open platform product.

“As the dependency on our software grew, customers needed more flexibility to be able to use their data to solve a wide range of business problems…significant difference in the way we build products now. We have unlocked a lot of value by converting ourselves into an open platform and enabling customer data to flow seamlessly across many products.” – Avlesh Singh, WebEngage

The effort to build an internal platform appropriately architected to support growing business needs (many yet unknown) is non-trivial and requires a platform thinking mindset for increased business development. It must be architected to allow rapid co-creation of new & unique product values in collaboration with external or market platforms. This can help the startup be a formidable player in the growing “platform economy”.

Leveraging Potential Strategic Partnerships

A strategic partner offers 2 benefits for startups. First is the obvious ability to supercharge the startup’s GTM strategy with effective distribution & scale. How does one make a strategic partnership? Pitching to a strategic partner is very different from pitching to a customer or investor. PSPs look for something that is working and where they can insert themselves and make the unit economics even better. 

“I thought I knew my pitch and had the details at my fingertips. But then I started getting really valuable, thought-out feedback…I had to focus on pitching to partners, not customers.” – Pallav Nadhani, FusionCharts

The second leverage with a partner is the ability to innovate in the overlap of the partner’s products & offerings and the startup’s product values. A good partner is always looking for startups which can co-create a unique value proposition and impact an extremely large customer base.

“…we still have only three four percent market share when it comes to customers. So if we have to participate we have to recognize that we are not gonna be able to do it alone we’re going to have to have a strategy to reach out to the entire marketplace and have a proposition for the entire marketplace…you need to (do it) through partnerships.” – Shikha Sharma, MD Axis Bank

Both these partnership intents if nurtured well can bring deep meaningful relationship which can further transcend scale into a more permanent model (investment, M&A…).

Working with the 3 Shifts of SaaS

While each shift is independent in its own importance, they are also inter-related. E.g. an internal platform can allow a startup to co-create with a partner more effectively. Partners are always interested in differentiated leading-edge values such as what is possible with leveraging AI/ML. Magic is created when a startup leverages an internal platform, to co-create a strong AI-enabled value, in the overlap & gap with potential strategic partners.

And that’s what I see

I see a vibrant eco-system of SaaS startups in India working on creating leading global products. Vibrancy built on top of the basic product thinking skills and catapulted into a new orbit by navigating the 3 shifts.

“Reading market shifts isn’t easy. Neither is making mindset shifts. Startups are made or unmade on their bets on market/mindset shifts. Like stock market bubbles, shifts are fully clear only in hindsight. At iSPIRT, we are working to help entrepreneurs navigate the many overlapping yet critical shifts.” – Sharad Sharma, iSPIRT

Through our roundtables, we have selected six startups as the first running group cohort for our AI/ML for SaaS playbooks (Acebot, Artoo, FusionCharts, InstaSafe, LegalDesk & SignEasy).

If you are hungry and ready to explore these uncharted shifts, we are bringing these new playbooks tracks for you.

Please let us know your interest by filling out this form.

Also, if you are interested in volunteering for our playbook tracks, we can really use your support! There is a lot to be done to structure and build the playbook tracks and the upcoming SaaSx5 for these shifts for SaaS. Please use the same form to indicate your support.

Ending this note with a sense of beginning, I believe that our startups have a real opportunity to lead instead of fast-follow, create originals instead of clones. They need help to do this as a running group instead of a solo contestant. It is with this mission – bring our startups at par on the global arena – that I am excited to support the ProductNation.

I would like to acknowledge critical insights from Avlesh Singh (WebEngage), Manav Garg (Eka), Shekhar Kirani (Accel Partners), Sharad Sharma (iSPIRT). Also am thankful for the support from our mavens, volunteers & founders who helped with my research, set up the roundtables, and draft my perspective with active conversations on this topic: Ankit Singh (Wibmo/MyPoolin), Anukriti Chaudhari (iSPIRT), Arvi Krishnaswamy (GetCloudCherry), Ganesh Suryanarayanan (Tata GTIO), Deepa Bachu (Pensaar), Deepak Vincchi (JuliaComputing), Karthik KS (iSPIRT), Manish Singhal (Pi Ventures), Nishith Rastogi (Locus.sh), Pallav Nadhani (FusionCharts), Praveen Hari (iSPIRT), Rakesh Mondal (RakeshMondal.in), Ravindra Krishnappa (Acebot.ai), Sandeep Todi (Remitr), Shrikanth Jangannathan (PipeCandy), Sunil Rao (Lightspeed), Tathagat Varma (ChinaSoft), Titash Neogi (Seivelogic), and many other volunteers & founders.

All images are credited to Rakesh Mondal 

Are you ready to Jump with AI/ML? [Updated Session Dates]

[Update 6-Apr] New April Session Dates – Symposium RT is being scheduled on Saturdays for Bangalore & Chennai (21st & 28th April). 

Playbooks for Electrifying SaaS and more.

This is what we call the fourth industrial revolution…And companies are really transforming and bringing all these new technologies to connect with their customers in new ways.
Dreamforce 2017 Keynotes, Marc Benioff.

There is no doubt that Artificial Intelligence (AI), is one of the recent “tectonic” market shifts, creating a change in landscape, market, and opportunity. AI and  Machine Learning (ML), now in its eternal spring, has a deep impact on SaaS evolution. While the incumbent companies like Salesforce, Zendesk, Workday, have all invested heavily in AI, also global challengers across many verticals from Sales, BPM, CRM… to Security are focused on building higher order efficiencies and automation through AI/ML.

Over the last few years, our Indian SaaS entrepreneurs trumped the global SaaS growth by leveraging mobile first as there was no baggage of desktop, reduced sales & onboarding cost by perfecting the art of Inside Sales & Inbound Marketing, and efficient after sales support & service by leveraging remote success representatives. Our SaaS Mavens helped disseminate these leverages by sharing the best practices & modeling internal flywheels & experimentations. Many SaaS entrepreneurs successfully assimilated and got a significant boost in their growth journey. These levers are now basic table stakes for most SaaS startups.

AI has no breakthrough success stories, but it is helping create a level playing field – especially for our Indian entrepreneurs – to compete with global players and incumbents alikeStartups willing to make the jump, adapt AI into their products & business models to create meaningful differentiation, will experience a strong wind in their sails to leapfrog over the players who don’t.

Our entrepreneurs have a rare opportunity to be early adopters & global trailblazers. 

To take advantage of this our entrepreneurs ask very valid questions.

Q. Why & How should we entrepreneurs navigate this AI market shift? 
Q. How should we, given that we are untrained in AI, grapple with the 360° impact of AI on product, business, and technology?
Q. What AI leverage can we develop without requiring expensive investments for constrained resources? 

How do we enable our companies to create new AI playgrounds to analyze, surface, validate and develop higher order customer values & efficiencies?

AI Playbooks

Since adapting to the AI “tectonic” shift requires a new paradigm of thinking, we have launched a multi-step playbooks track focused on Playing with AI/ML for Indian entrepreneurs. In line with iSPIRT’s mission, our playbooks purpose is to help market players navigate market shifts. The goal is to bring the practitioner knowledge from AI Mavens AI-first entrepreneurs who are further ahead in their AI journey – to the AI-hungry startups and help them perfect the model of working with AI, get traction towards a meaningful AI-enhanced value, and become trailblazers for the community. If you are an AI-hungry startup who has either taken the plunge with AI/ML but early in your journey, or are actively looking to leverage AI/ML for your current products, then following the stepped approach below may help:

Step 1 – Attend an AI/ML Symposium RT – Getting prepared with Why AI and How AI. In our first kickoff session on 10-Mar, we had great discussions on AI data maturity, what can drive your AI approach, and more with our AI Mavens and ten startups (read more).

Step 2 – A cohort of startups from step 1 will be taken through multiple AI/ML Playbook RT for How AI – deep dives on topics to help with structuring an internal AI playground, competency with data product management, product positioning & branding, business model shifts, and more.
These playbook RTs will help the startups carve out a lean playground for rapid experimentation and analysis, with a 3-4 person team of a data PM, & engineers. The team, actively lead by the founder, runs regular sprints (business/product/engineering sprints) of experimentation and validation, and have review touchpoints at intervals with AI-Mavens and the cohort as a running group.
There is also an optional Tech Training Lab to build internal ML competency with a multi-day workshop with Julia experts.

Four startups have been initially selected for the cohort for the step 2 AI playbook RTs (Acebot, FusionCharts, InstaSafe & LegalDesk).

SaaSx5 – June 2018

We are working to set up the 5th version of our marquee SaaSx to engage with the larger SaaS startup community. We will definitely focus on the impact of AI/ML on SaaS and have workshops based on our momentum of the playbooks track on various topics above. Date & details to be announced shortly.

The AI+SaaS game has just begun and it is the right time for our hungry entrepreneurs to Aspire for the Gold, on a reasonable level playing field.

Click to Nominate or Register a startup for the AI/ML Playbooks Track.

Dates & Venue

AI/ML Symposium RT #1 – 10th Mar (Sat) 2p – 5p Done (read more)
AI/ML Symposium RT #2 – 21st Apr (Sat) 11a – 2p @ Bangalore TBD
AI/ML Symposium RT #3– 28th Apr (Sat) 10a – 1p @ Chennai TBD

May the force be with you!

* All iSPIRT playbooks are pro-bono, closed room, founder-level, invite-only sessions. The only thing we require is a strong commitment to attend all sessions completely, to come prepared, to be open to learning & unlearning, and to share your context within a trusted environment. All key learnings are public goods & the sessions are governed by the Chatham House Rule.

Featured image modified from source: https://www.flickr.com/photos/jedimentat/7557276684

First AI/ML Playbook Roundtable – Playing With the New Electricity

This is a Guest post by Krupesh Bhat (LegalDesk) and Ujjwal Trivedi (Artoo).

AI is seen as the new electricity that will power the future. How do we make the best of the opportunity that advancements in AI technology brings about? With this thought in mind iSPIRT conducted a symposium roundtable at the Accel Partners premises in Bengaluru on March 10th. Accel’s Sattva room was a comfortable space for 20+ participants from 11 startups. There were deep discussions and a lot of learning happened through subject matter experts as well as peers discussion. Here’s a quick collection of some pearls, that some of us could pick, from the ocean of the deep discussions that happened there.

Products that do not use AI will die soon. Products that use AI without natural intelligence (read common sense) will die sooner.

– Manish Singhal, Pi Ventures

Starting with that pretext, it isn’t hard to gather that AI is not just a promising technology, it is going to be an integral part of our lives in near future. So, what does it mean for existing products? Should everyone start focusing on how they can use AI? Are you an AI-first company? If not, do you need to be one? After all, it does not make sense to build the tech just because it appears to be the next cool thing to do. If you are building AI, can you tell your value proposition without mentioning the word AI or ML? have you figured out your data strategy? Is the need driven by the market or the product?

Before we seek answers we must clarify that there are two types of products/startups in the AI world:

First, an AI-first startup – a startup which cannot exist without AI. Their solution and business model is completely dependent on use of Artificial intelligence (or Machine Learning at least). Some examples of such startups in local ecosystem are Artifacia and Locus.sh.

Second, AI-enabled startup – startups with existing products or new products which can leverage AI to enhance their offering by a significant amount (5x/10x anyone?). Manish has a very nifty way of showing the AI maturity of such companies.

The session was facilitated by several AI experts including Manish Singhal of pi Ventures, Nishith Rastogi of Locus.sh, Shrikanth Jagannathan of PipeCandy, Deepak Vincchi of Julia Computing.

Maturity Levels of AI Startups

After a brief introduction by Chintan to set the direction and general agenda for the afternoon, Manish took over and talked about the various stages of AI based companies. Based on his interactions with many startups in the space, he said there are roughly four growth stages where different companies fall into:

Level 1No Data, No AI: An entity that solves a business problem and is yet to collect sufficient data to build a sustainable AI business. The AI idea will die down if the company fails to move to state 2 quickly. Business may be capturing data but not storing it.
Level 2Dark data, No AI: The company holds data but is yet to build solid AI/ML capabilities to become an AI company. There is a huge upside for such companies but the data strategy needs to be developed and AI capabilities are not mature enough to be considered as an AI/ML company.
Level 3Higher automation driven by data and AI: These are the companies that have built AI to make sense out of data and provide valuable insights into the data using AI/ML, possibly with some kind of human assistance.
Level 4Fully autonomous AI companies: These are the companies at the matured stage where they possess AI products that can run autonomously with no human intervention.

Manish also noted that most companies they meet as a VC are in level 1 and 2, while the ideal level would be 3 and 4. He noted that AI comprises of three important components: Data, Algorithm & the Rest of the System that includes UI, API & other software to support the entire system. While it is important to work on all three components, oftentimes, the data part doesn’t get enough importance.

Do You Really Need Artificial Intelligence?

A whole bunch of solutions are smart because they are able to provide additional value based on past data. These are not AI solutions. They are merely rule based insights. Nishith from Locus added that there is nothing really wrong with rule based systems and in a lot of cases AI is actually an overkill. However, there are two cases where it seems apt for startups to look at AI for their predicament:

  1. Data is incomplete: An example of this is Locus who gets limited mapping for gps coordinates and addresses.
  2. Data is changing constantly: A typical case was of ShieldSquare where bots are continuously evolving and improving and the system deployed to identify them also needs to learn new patterns and evolve with them.

It is important to have clarity on your AI model especially when you communicate with your internal teams. Figure out what is the core component of your product – AI, ML, Deep Learning or Computer Vision.

What’s Driving Your AI Approach?

There are two major driving forces that can help one in deciding whether to AI or not to AI.

  1. PUSH: The internal force when decision can largely be taken if your business is sitting on a lot of useful data, may be as a side effect of your key proposition.
  2. PULL: The external market driven force where clients expect or ask for it e.g chatbots. We are already observing that AI can be a great pricing mechanism.

However, take great caution when using Customer data or Derived data, it depends on legal agreement with clients and can get you into legal troubles if it violates any terms.

Is Your Data Acquisition Strategy in Place?

Anyone interested in AI should have a data acquisition strategy in place. Here are a few points that can help you get one in place:

    • What data do you collect, How do you validate it, Clean it and store it for further analysis?
    • Surveys and chatbots can provide a steady stream of data if built correctly
    • Think of data as a separate entity (has its own lifecycle), it may help to think of it as a currency and plan how you would earn, store and utilise it
    • Capturing location, user interaction data can be insightful. This may include the interactions user has committed and the ones they have not committed (deleted/skipped/hidden)
    • It makes sense to invest time, resources and people to gather data properly
    • Have a unified warehouse (can start with economical options like Google Analytics and AWS)

It is also important to give some thoughts on how you are using aggregate data across the platform. In case, if your AI model uses a combination of customer specific data and the sanitised aggregate data available in the platform (“Derived Work”), then you should make sure that you have the permission to use such data. Without such clarity, you may run into legal issues.

Deepak Vincchi explained how Julia Computing is emerging as the programming language of choice for data scientists. The platform can process 1.3 million threads in parallel and is used by large organizations to crunch data problems.

In all this was an extremely engaging 3 hours without break. Guiding the session with real examples by Nishith, Shrikanth and also shared learnings from Navneet and others really helped bring to life Why AI and How AI. This symposium is part of an AI playbooks track was aimed at kickstarting cohorts of startups ready to jump with AI and help them get traction with AI, more will emerge on this shortly.

10 startups attended this mini-roundtable session – Acebot, Artifacia, Artoo, FusionCharts, InstaSafe, Klove, LegalDesk, Rocketium, Rubique, ShieldSquare.

Thanks to volunteers Rinka Singh and Adam Walker for their notes from the session and Ankit Singh (Mypoolin/Wibmo) for helping coordinate the blog post & note

* All iSPIRT playbooks are pro-bono, closed room, founder-level, invite-only sessions. The only thing we require is a strong commitment to attend all sessions completely, to come prepared, to be open to learning & unlearning, and to share your context within a trusted environment. All key learnings are public goods & the sessions are governed by the Chatham House Rule.

Featured photo by Matan Segev from Pexels https://www.pexels.com/photo/action-android-device-electronics-595804/

Playing with the new Electricity – AI/ML Playbook Sessions [March Update]

[Update 29-Mar] New April Session Dates – Symposium RT is being scheduled for Bangalore & Chennai (21st & 28th April). 

“Tectonic” market shifts happen every few years creating a change in landscape, market and opportunity. The most recent “tectonic” shift is the emergence of the Artificial Intelligence era. In just the same way electrification in the early 1900s transformed major industries globally, AI, Machine Learning & Deep Learning are poised to transform a multitude of industries, services & products.

It took 100 years from the discovery of electrical generator to electrification of industries. AI is doing this in a span of 70 years (from the time of the Turing Test).

AI/ML has gone through many winters and is now in its eternal spring. It portents a new framework for startups to navigate and evolve from an internet era startup into an AI era startup.


Every new era shift begins with a lot of smoke and hype before it is well understood. iSPIRT ProductNation & Julia are launching a set of AI/ML playbook roundtable & workshop sessions to dispel the hype around AI, and help bring a pragmatic mindset & process change necessary for product startups to leverage AI/ML. We believe AI is not just a technology shift. It is a combination of product, business, and technology shift. Adapting to it requires a new paradigm of thinking to build a viable value strategy. This needs to be done mindfully and in context of the value you offer to the customer, do not rush in with the AI hype.

These multi-step playbooks are for all categories of startups regardless whether they are AI-First or SaaS, and MarTech, FinTech, HealthTech or any other <Domain>Tech category, startups who are looking to deliver a higher order value to their customers by leveraging and applying AI models with their data.

Since AI/ML is still in its early years there aren’t any proven success playbooks. Hence these deep sessions will bring together AI experts, AI Mavens (entrepreneurs who are more ahead in their AI journey), iSPIRT Mavens, and selected startups, to discuss & share their insights, challenges & learnings on the mindset shifts outlined above and best practices adopted. The 2-step playbook roundtable sessions focused on founders (+1 typically CXO) and a hands-on lab workshop are a sequence of:

    • AI/ML Symposium RT (step 1) – An invite-only 3 hour mini-symposium playbook with AI/ML experts, first mover AI leaders & Mavens from our startup community and 10-15 invited startups, focusing on Why AI/ML? What was the higher order value being created? How to identify the opportunities to leverage AI? What do you need to get started with AI (if not already running)? Data needs for AI/ML investments… The shared awareness created in this session, combined with the commitment by startups to articulate their AI/ML opportunity, and detail their approach will lead to the next AI/ML roundtable.
    • AI/ML Playbook RT (step 2) – Startups at similar AI readiness from the Symposium will be invited for a 5-hour deep-dive roundtable discussion on the AI/ML challenges in the context of the startup domain, effectively going through their AI/ML readiness & approach (a review & teardown). Topics would emerge from the Symposium RT and could cover data collection & modeling strategy, AI transformation algorithms, Business model innovation, Success metrics… This session is restricted to 5-6 startups (having similar AI needs) per roundtable and an AI Maven to facilitate the topics & discussion. Possible outcomes for each startup would be to develop an action plan/checklist for next few months of execution. Additionally, startups can identify a tiger tech team to go to the AI/ML Training Lab to get traction for their checklist…
    • AI/ML Training Lab with Julia Sandbox (optional) – A 3+ day workshop intended for the 3-4 person tiger tech teams (CTO, Engg, Data guy, PM…) from each startup. The workshop will help focus on building competency, getting traction & executing implementations related to the checklist developed at the roundtable.

For the first set of these playbooks, we are inviting nominations/applications for startup founders (+CXOs) who are either directly focusing on AI-based opportunity or have started integrating AI/ML as a core strategy for their product growth/success. Please provide your nomination for startups you believe should be part of the first series of the AI/ML playbooks. If you are a startup and interested to be part of this please register below. On final approval, an invite confirmation will be sent via email.

Please submit your nominations here. A registration link will be sent to your nominee.

Dates & Venue for the first of the series:

AI/ML Symposium RT #1 – 10th Mar (Sat) 2p – 5p Done
AI/ML Symposium RT #2 – 21st Apr (Sat) 11a – 2p @ Bangalore TBD
AI/ML Symposium RT #328th Apr (Sat) 10a – 1p @ Chennai TBD
AI/ML Playbook RTApr-TBD (Sat) 11a – 5pm @ Bangalore TBD
AI/ML Training Lab w/ JuliaApr-TBD @ TBD (Bangalore)

While the sessions are in Chennai/Bangalore, we believe this topic is of emergent interest to startups across the country and would invite all to register.

AI Mavens

Ashwin Ramasamy – PipeCandy
Manish Singhal – pi Ventures
Nishith Rastogi – Locus.sh
Shrikanth Jagannathan – PipeCandy

Cost

All iSPIRT roundtables are pro-bono (read below for how that works)

This series of playbooks is being setup by active support from our Mavens & Volunteers – Ankit Singh, Deepak Vinchhi, Karthik KS, Praveen Hari, Ravindra Krishnappa, Sandeep Todi.

P.S. Some great material for pre-reading

I strongly recommend all to go through many of these.

* All iSPIRT playbooks are pro-bono, closed room, founder-level, invite-only sessions. The only thing we require is a strong commitment to attend all sessions completely and to come prepared, to be open to learning & unlearning, and to share your context within a trusted environment. All key learnings are public goods & the sessions are governed by the Chatham House Rule.

* The Julia team is on a social mission to train a large number of people in India to develop grassroot skills and competency with AI & ML.

+Feature image from https://www.flickr.com/photos/gleonhard/34046647175/

Deep Learning Session with Julia Computing

robot-2167836_640

An evening with Julia

iSPIRT, in association with Julia Computing, is proud to announce an open-session with Prof. Alan Edelman and Dr. Viral Shah, co-creators of Julia, an open source programming language, and co-founders of Julia Computing Inc.

The event will be hosted in Koramangala, Bangalore, on the 22nd of January 2018, from 5 – 7pm. Register now for an invite to the session or to join the live cast (venue details will be shared along with the invite).

What is Julia?

Julia is a modern, high-level, high-performance programming language for numerical computing, data science and AI. With syntax that is familiar to users of other technical computing environments, Julia solves the eternal two language problem, by providing productivity similar to Matlab or R, and performance similar to C for writing mathematical and statistical software. Julia is open source, its research is anchored at MIT since 2009 and is growing very rapidly in its adoption across industries, from Finance to Life Sciences.

Julia … can even be used by those who aren’t programmers by training

Why Should You Care?

Julia’s deep mathematical roots and comprehensive customizability make it very friendly to work with for data scientists, who are generally limited with popular Machine Learning approaches due to their issues with customizability and efficiency.

This 90 minute session will cover a quick introduction to Julia, showcase a few challenging and compute-intensive case studies that Julia has helped solve across domains, and demonstrate how Julia as a framework is used to enable nextgen AI & ML modeling & computing with the AI tools of your choice, including popular libraries like Mocha, MXNet and TensorFlow. This will be a great opportunity to interact with Prof Alan and Dr. Viral on best ways to approach an AI/ML strategy.

About the Speakers:

Prof. Alan Edelman is a Professor of Applied Mathematics, Computer Science and AI at MIT. He is a co-creator of Julia language, and a Co-founder and Chief Scientific Officer of Julia Computing, Inc.

Dr. Viral Shah is a co-creator of Julia language, and a Co-founder and CEO of of Julia Computing, Inc. He has been an important part of Aadhaar team from 2009 to 2014, and has co-authored a book called Rebooting India with Nandan Nilekani.

Julia Computing was founded in 2015 by the creators of the open source Julia language to develop products and provide support for businesses and researchers who use Julia.

Register now for an invite to the session or join the live cast.

Also, Workshop will be streamed on Youtube live for those who can join us virtually. The Invite will be shared on 21st Jan 2018 with the registered participants.

iSPIRT Product Roundtable in Ahmedabad

As the Very Merry Christmas holiday brings joy and wonder to the world, The year of 2017 comes to a close, ushering in a New Year with the promise of joy and prosperity for all. To begin the New Year on a promising note and help with growth, we are announcing a series of Product Roundtables for our startups.

Register Now!

Why are product teardowns important? For Product Validation & For Growth!

A constant struggle for validation and growth is a common theme for founders across startup stages, across early to late stage startups, regardless of focus on SaaS, B2B or B2C startup. A product teardown session, with our peers and practitioners, gives us an opportunity to visualize the value our products provide to solve our customers’ pain and also have a glimpse of how our customers discover our product proposition and connect with their needs.


The teardown model

In this playbook roundtable, we look at evaluating product-market fit and how to get your messaging right and building a website and signup/onboarding flow that converts with very little human intervention. This roundtable would begin with a deep dive into the product Idea, Discovery Process and navigate through the Landing Page and Signup flow, to deliver a “Wow” experience. The format of the playbook is built around quick 10 minute demos from a handful of startups, followed by peer-feedback from the participating founders on product validation and customer acquisition. Here’s a post of Product Teardown explained in 10 minutes (well almost!)

Register Now

If you are ready or know someone who would be interested in growing through this journey, please do register or help them to Register hereSince there are limited seats we would request you to kindly apply at the earliest. (An Invite confirmation will be sent shortly after registration.)

 
Stay tuned as more playbooks are coming your way in the coming months.