The start of a new year is a perfect time to reflect on what was accomplished and look forward, re-evaluate what we can do better. Change, although difficult at first, can also be very rewarding. That’s why I was excited to see similar sentiments shared at Thoughtspot beyond.2021 to move beyond the traditional dashboards of the past.
The Snowflake Data Cloud is a powerful place to work with data because we have made it easy to do difficult things with data, such as breaking down data silos, safely sharing complex data sets, and querying massive amounts of data. As customers move to the Data Cloud, their needs and timelines vary—our goal is to meet every customer where they are on their Data Cloud journey.
In this interview, we talked to Sudeep Sidhu, Neo Financial's Lead Mobile Engineer about how to provide better features for users, how to ensure the highest levels of security in fintech app development, and what the future of mobile finance and banking looks like.
AI models get smarter, more accurate, and therefore more useful over the course of their training on large datasets that have been painstakingly curated, often over a period of years. But in real-world applications, datasets start small. To design a new drug, for instance, researchers start by testing a compound and need to use the power of AI to predict the best possible permutation.
We talked to Dama Damjanović, Principal Engineer at N26 about how the regulations in finance and banking affect engineering teams behind fintech apps, how they can improve security, and what type of new technology will add the most value to the industry in the coming years.
