8 Udemy Courses on How To Build a Machine Learning Startup

There are over six million students enrolled in Machine Learning courses on Udemy. The most daring will try to start their own businesses.

8 Validated Enterprise Software Startup Ideas for the DataStax-1Mby1M Challenge

The DataStax-1Mby1M Fall 2021 Startup Challenge launched on September 9th. Here is the kick-off video with Chet Kapoor, CEO of DataStax, Ed Anuff, Chief Product Officer of DataStax discussing the program with me.

DataStax has significant enterprise customers that are using their Apache Cassandra-based database products to solve real world problems. They are putting these use cases out in the public domain for startups to build companies around. DataStax would be helping the startups on the technical and customer acquisition side, and 1Mby1M would be helping the startups on the positioning, mentoring, and financing side. $10,000 of grant money is also included in this challenge.

Let’s look at some of the use cases. They’re all related to the increasingly digital nature of most businesses. The ever-growing use of IoT is a good example. Verticals that manage many assets need real-time access to data for visibility and decision purposes. Organizations interacting directly with customers need to ensure they are engaged with the right customer, and they have a digital twin of the customer to drive services and experiences. These experiences and services are entirely digital and depend on real-time data access. Finally, organizations drive their intelligence and decisions by understanding and leveraging the increasingly vast amount of data they manage. Here are more details.

>>>

Thought Leaders in Big Data: Sanjay Vyas, CEO of Diyotta (Part 3)

Sanjay Vyas: One issue when we started working with Sprint has been about how to collect all this generated information to bring it into the Big Data systems. Now that we are bringing it into the systems, the question is if there is any way that we can look at certain parameters while the activity is happening within 10 minutes so that you can identify the fraud patterns within that data. That is the second issue.

Thought Leaders in Big Data: Sanjay Vyas, CEO of Diyotta (Part 2)

Sramana Mitra: Can you talk about a few use cases? I would like to do three use cases. Double-click down on what exactly you are doing.

Sanjay Vyas: Let’s take the first use case as customer churn, which is a well-identified problem in the telecom industry. When you are a large telecom, you are trying to retain your customers, but you also want to know what behaviors and patterns are there that indicate if they are about to leave you.

Thought Leaders in Big Data: Sanjay Vyas, CEO of Diyotta (Part 1)

More discussion on the integration sphere of Big Data.

Sramana Mitra: Let’s start by introducing our audience to yourself as well as Diyotta.

Sanjay Vyas: I should probably call myself not just an entrepreneur but more as a data entrepreneur. Right from the start of my career, I have been involved in building data ecosystems and architecture around data. I am fascinated by analytics and business intelligence.

Best of Bootstrapping: Founder Bootstrapped a Big Data Company Using Services

If you haven’t already, please study our Bootstrapping Course and Investor Introductions page.

We maintain that one of the best ways to identify complex problems worth solving inside enterprises is by offering services to them, thereby gaining exposure to the domain. DataSong is yet another case in point. After I spoke with Founder John Wallace, DataSong was acquired by MarketShare in 2015.

Sramana Mitra: Let’s start at the beginning. Where are you from? What kind of a backstory leads up to the entrepreneurial story?

John Wallace: I grew up in the South from a pretty modest background.

>>>

Thought Leaders in Big Data: Incorta CEO Osama Elkady (Part 3)

Sramana Mitra: Can you talk about a few open problems that you would like entrepreneurs out there to come and build on top of your platform? It could be industry sector specific. It could be functional. Just name a few solutions where you’re looking for such partners. 

Osama Elkady: A few things come to my mind that I believe will be important. One thing that we have seen is how entrepreneurs can save food waste through predictive modelling.

Thought Leaders in Big Data: Incorta CEO Osama Elkady (Part 2)

Sramana Mitra: All the technology is your technology? 

Osama Elkady: Yes. You don’t have to assemble five different technologies and transfer data between them. It’s one integrated platform where they have unlimited storage and power, especially for running on the cloud.

Sramana Mitra: Since you’re working on so many use cases across so many different types of companies, can you talk about the architecture? It sounds like it’s a platform and then you have an application layer on top.