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Fitness App Development: An Innovator's Guide

Fitness app development is exploding — what health company isn’t trying to create a fitness app for their customers? According to Allied Market Research, the global fitness app market size was valued at $13.78 billion in 2020 and is projected to reach $120.37 billion by 2030. With the COVID-19 pandemic keeping people at home, consumers are looking for new ways to keep exercise interesting. Adaptable brands are rushing to provide the next best service.

96 Percent of Businesses Can't Be Wrong: How Hybrid Cloud Came to Dominate the Data Sector

According to 451 Research, 96% of enterprises are actively pursuing a hybrid IT strategy. Modern, real-time businesses require accelerated cycles of innovation that are expensive and difficult to maintain with legacy data platforms. Cloud technologies and respective service providers have evolved solutions to address these challenges.

Make the Leap to AI Driven Data Applications

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.

Expanding the Data Cloud with Apache Iceberg

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.

SaaS in 60 - New Qlik Application Automation Connectors

Recently we added some Data Warehouse connectors for Amazon Redshift, Google Big Query and Snowflake allowing your workflows to utilize data management operations such as inserts, deletions, updates, SQL queries and even API requests. We’ve also added a connector to work with our new automated machine learning environment AutoML as well as a number of remote application and event management connectors that work with Dbt, UI Path and Splunk.

Growing AI Fast with ML-Ops: Breaking the barrier between research and production

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.

Amazon Redshift: Comprehensive Guide

As the business world increasingly becomes dependent on technology, the way in which companies handle and store their data becomes even more important. Therefore, finding a safe and secure place to store company data is becoming a necessity in the digital age. One robust cloud data warehouse that has been helping many companies safely store their data is known as Amazon Redshift.

Building innovative and secure financial services that help users save money

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.