What Strengths and Functionalities Did You See in Snowflake?
For us, the most important consideration was scale. We are powering billions and billions of customer interactions, so having a partner like Snowflake who can support that scale was key.
Data Engineering
The Importance of DataOps and Data Engineering
We’re in its infancy, and I think very few people know how to do it well, so the fact that Infostrux is providing data engineering as a service is needed right now. I think that’s a really important skill set to have in your organization.
The Power of Having a Customer-Centric Mindset
There’s a tendency amongst us technologists, especially those of us who are really excited about machine learning technologies, to assume that ML is inherently valuable.
Are Data Science and Data Engineering Technologies Mature Enough?
There are mature technologies and there are many that are in the process of maturing that are I think have high potential. If you look at Cohere’s APIs for example or OpenAI’s APIs, there’s some exciting indications of the future of an generative models and natural language generation more broadly.
