Unicorn is a startup with an estimated valuation of over $1 billion. More than 1000 unicorns exist today.
Snowflake, Atlassian, ServiceNow are examples of startup unicorns. They’re massive, multi-billion dollar publicly traded companies now. Yet, they all started as an idea, took one step after another, grew in size, and so on.>>>
Udemy has over six million students who are learning Machine Learning on the platform. Many of these students are aspiring entrepreneurs.
Here is a list of Udemy entrepreneurship courses based on the 1Mby1M methodology that would help them put one foot before the other to get a startup strategy figured out.>>>
Francisco De Sousa Webber, Founder CEO at Cortical.io based in Vienna, Austria, joins us for a terrific conversation on cutting edge NLP.
Oleg Rogynskyy is Founder CEO of People.ai. This is a fantastic discussion on how to cold start an AI company, build it to scale, etc. Also, excellent guidance on white spaces around which to build new AI companies.
This is a fantastic discussion on how to cold start an AI company, build it to scale, etc. Also, excellent guidance on white spaces around which to build new AI companies.
Sramana Mitra: Let’s start by introducing our audience to yourself. Tell us a bit about your background and all also introduce us to People.ai.>>>
You have read our coverage of AthenaHealth over the years in the healthcare IT space. BUDDI.AI is taking an AI-driven approach to healthcare coding and billing.
Sramana Mitra: Let’s start introducing our audience to yourself as well BUDDI.AI.
Ram Swaminathan: I am the co-founder and CEO of BUDDI.AI. We focus on building the next generation of artificial intelligence for healthcare.>>>
This is a terrific conversation about a SaaS-enabled BPO company, Lilt, in the domain of language translation.
Sramana Mitra: Let’s start introducing our audience to yourself as well as Lilt.
Spence Green: I am the CEO of Lilt. We have two parts of our business. The private sector of our business focuses on creating global customer experiences so that all products and services are available in all languages. We work with enterprises that want to make the user experience in other languages better. Usually, it is as good and personalized as it is in English.>>>
Zach is building a Machine Learning platform company upon which 12,000 developers are building apps.
This is a terrific conversation that spans how to build developer networks for a PaaS company, and numerous related issues.
Sramana Mitra: Let’s start by introducing our audience to yourself as well as Edge Impulse.>>>
Super interesting crowdsourced data model conversation!
25,000 data scientists participating in building algorithms for specific use cases.
This conversation explores the use of AI to create a database of questionable players to address money laundering and other shady behavior. Excellent PaaS strategy!
Sramana Mitra: Let’s start by having you introduce yourself as well ComplyAdvantage.>>>
A terrific conversation about NLP and domain specific taxonomy building within the healthcare and pharmaceutical industry. 50% of the customers are ISVs building on top of their platform!
Sramana Mitra: Let’s start by introducing our audience to yourself and John Snow Labs.>>>
This is an awesome conversation on the cutting edge of language translation.
Note, a large chunk of Unbabel’s customer base comes from the Zendesk PaaS ecosystem.
On the other hand, Unbabel itself would, most likely, create its own PaaS ecosystem to address a broader range of use cases.
Sramana Mitra: Let’s start by introducing our audience to yourself and Unbabel.>>>