Systems | Development | Analytics | API | Testing

Gen AI And LLMs Will Change Our Lives Profoundly

How will Gen AI and LLMs impact the nature of people's jobs and worker productivity? "Data Cloud Now" anchor Ryan Green kicked off the Data and AI Predictions 2024 event in January by discussing that topic with Snowflake's CEO Sridhar Ramaswamy and Mona Attariyan, Director of Engineering. The conversation also covers the potential for AI to generate misinformation and the need to establish ethical guardrails for the technology.

7 Compelling Reasons to Choose Cloud BPM (Business Process Management)

As business leaders cautiously navigate the uncertainties of 2024, marked by the mainstreaming of AI, heightened regulatory oversight, cost pressures, and supply chain disruptions, the need for agile and efficient business processes has never been more pressing. Amidst this backdrop of uncertainty, cloud BPM shines as a beacon of opportunity, offering organizations a transformative approach to streamline operations, drive innovation, and achieve better business outcomes.

iOS Core Data Explained: Storing data using Swift

Core Data enables us to manage the model layer of an Apple application. This layer is a crucial part of our app’s engine room, allowing the pretty bits at the front end to interact with the data and business logic at the back. We love Core Data because it provides a powerful database technology framework, and it’s built on top of the SQLite management system, which requires zero configuration or external storage space.

#12 Kafka Live Stream | HTTP Sink Connector & Business Automation with Make

See the new Lenses Kafka to HTTP Sink Connector in action with Lenses.io and @itsmake. In this 30 minute session, we show you how to trigger APIs that automate your business processes: a message in Kafka calls a Make workflow, then triggering an automation in Salesforce.

What is the Listen to Yourself Pattern? | Designing Event-Driven Microservices

The Listen to Yourself pattern is implemented by having a microservice emit an event to a platform such as Apache Kafka, and then consuming its own events to perform internal updates. It can be used as a solution to the dual-write problem since it separates Kafka and database writes into different processes. However, it also provides added benefits because it allows microservices to respond quickly to requests by deferring processing to a later time.