Systems | Development | Analytics | API | Testing

May 2024

The Ultimate Guide to Retail Data Analytics

Whether you love, hate or remain indifferent towards data, it’s impossible to deny its importance in today’s business landscape. Businesses across all sectors and industries collect data and perform data analysis, to better understand their customers and business processes, in an effort to boost productivity, reduce expenditure and gain competitive advantage.

Four considerations for enhancing citizen experience with continuous automated testing

In today’s digital age, citizens expect seamless interactions with government agencies, mirroring the efficiency and user-friendliness they encounter in the private sector. However, achieving exceptional citizen experience (CX) requires routine testing and close attention to software quality and performance. As agencies navigate the complexities of delivering digitized services, continuous automated testing (CAT) is a game-changer in enhancing CX while maintaining speed and reliability.

Using Moesif, Kong, and Stripe to Monetize Your AI APIs - Part 1: Integrating The Platforms

As the wave of AI sweeps through the technology landscape, many have hopped on board. Interestingly enough, and often overlooked, is that many AI capabilities are served through APIs. Fancy user interfaces integrate with the actual mechanisms where the magic happens: the APIs. So, when generating revenue through AI platforms, the APIs drive the revenue.

Snowflake Data Clean Rooms for Marketing

In less than 5 minutes, Ankur Abhishek, Senior Product Manager at Snowflake, demostrates how Snowflake Data Clean Rooms can be used for audience overlap, audience lookalike, and attribution analysis. As Kamakshi Sivaramakrishnan, Senior Director of Product Management at Snowflake, explains, "This is the full marketing lifecycle brought in its entirety in a Snowflake clean room, run securely with multiple parties collaborating with each other. This is demystifying clean rooms.".

Improving LLM Accuracy & Performance - MLOps Live #28 with Databricks

Watch session #28 in our MLOps Live Webinar Series featuring Databricks where we discuss improving LLM accuracy & performance. Hear Margaret Amori (Databricks), Vijay Balasubramaniam (Databricks) , and Yaron Haviv (Iguazio) share best practices and pragmatic advice on successfully improving the accuracy and performance of LLMs while mitigating challenges like risks and escalating costs. See real examples including techniques to overcome common challenges using tools such as Databricks Mosaic AI and their new open LLM, DBRX.