Product for Product Management EP 124 - Startups: Datawisp with Mo Hallaba
Jan 29, 2025
46:09
We are excited to bring to the podcast a startup that is building an exciting Data and AI product that can change how product managers and other executives are finding insights in the vast datasets they have access to.
In this episode, we met with Mo Hallaba, founder and CEO of Datawisp. With extensive background in data and analytics, Mo experienced first hand the complexity it takes for employees of all levels in understanding the data they have, and in using the mostly technical tools that usually require data scientists, and long queues and time, to provide any useful insights.
With that in mind, Mo created Datawisp, to bring the data - and more importantly, the insights from the data - directly to the people who need it. Using Natural Language Processing (NLP), Datawisp’s users can ask Wispy, its AI agent, for questions on things that are interesting to them, and Wispy then brings the data and the insights it learns from the data.
Join Matt and Moshe as we chat with Mo and learn:
- Mo’s background in financial analytics and his past entrepreneurship journey
- How AI opened up the options for people to think about how to solve the data problem
- Datawisp’s vision for how different teams in the organization can use it
- The current focus on Product Managers and Marketing
- Some of the feature of Datawisp, such as:
- Users talk to it in the same way they would talk to a data scientist
- If it doesn’t understand the question it prompts for more info
- The freedom it has to manipulate the data like a data scientist would
- Automatically picks a type of chart based on the question it was asked
- Different people asking the same question at the same time, would get the same answer
- How it handles security and privacy for its users
- Customizable dashboards for users for questions they want to ask on regular basis
- What needs to happen in an organization that adopts Datawisp
- What is the biggest barrier for people that want to be great in their jobs
- Will AI replace data scientists?
- And much more!
* You can connect with Mo at:
- LinkedIn: https://www.linkedin.com/in/mo.../
- X: @ElectronicMo
- email: mailto:mo@datawisp.io
- Datawisp: https://www.datawisp.io/
You can find the podcast’s page, and connect with Matt and Moshe on Linkedin:
- http://linkedin.com/company/pr... linkedin.com/company/product-for-product-podcast
- https://www.linkedin.com/in/ma... - linkedin.com/in/mattgreenanalytics/
- http://www.linkedin.com/in/mik... - linkedin.com/in/mikanovsky/
Note: any views mentioned in the podcast are the sole views of our hosts and guests, and do not represent the products mentioned in any way.
Please leave us a review and feedback ⭐️⭐️⭐️⭐️⭐️
In this episode, we met with Mo Hallaba, founder and CEO of Datawisp. With extensive background in data and analytics, Mo experienced first hand the complexity it takes for employees of all levels in understanding the data they have, and in using the mostly technical tools that usually require data scientists, and long queues and time, to provide any useful insights.
With that in mind, Mo created Datawisp, to bring the data - and more importantly, the insights from the data - directly to the people who need it. Using Natural Language Processing (NLP), Datawisp’s users can ask Wispy, its AI agent, for questions on things that are interesting to them, and Wispy then brings the data and the insights it learns from the data.
Join Matt and Moshe as we chat with Mo and learn:
- Mo’s background in financial analytics and his past entrepreneurship journey
- How AI opened up the options for people to think about how to solve the data problem
- Datawisp’s vision for how different teams in the organization can use it
- The current focus on Product Managers and Marketing
- Some of the feature of Datawisp, such as:
- Users talk to it in the same way they would talk to a data scientist
- If it doesn’t understand the question it prompts for more info
- The freedom it has to manipulate the data like a data scientist would
- Automatically picks a type of chart based on the question it was asked
- Different people asking the same question at the same time, would get the same answer
- How it handles security and privacy for its users
- Customizable dashboards for users for questions they want to ask on regular basis
- What needs to happen in an organization that adopts Datawisp
- What is the biggest barrier for people that want to be great in their jobs
- Will AI replace data scientists?
- And much more!
* You can connect with Mo at:
- LinkedIn: https://www.linkedin.com/in/mo.../
- X: @ElectronicMo
- email: mailto:mo@datawisp.io
- Datawisp: https://www.datawisp.io/
You can find the podcast’s page, and connect with Matt and Moshe on Linkedin:
- http://linkedin.com/company/pr... linkedin.com/company/product-for-product-podcast
- https://www.linkedin.com/in/ma... - linkedin.com/in/mattgreenanalytics/
- http://www.linkedin.com/in/mik... - linkedin.com/in/mikanovsky/
Note: any views mentioned in the podcast are the sole views of our hosts and guests, and do not represent the products mentioned in any way.
Please leave us a review and feedback ⭐️⭐️⭐️⭐️⭐️