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Artificial Intelligence vs. Intelligent Automation: What's the Difference?

AI injects “intelligence” into automation, enabling systems to execute tasks, comprehend complex data, make informed decisions, and learn from outcomes. Unlike technologies such as robotic process automation (RPA), which follow predetermined rules, AI leverages data to evaluate situations and determine the best course of action. Now that we've explored how AI augments traditional automation tools, let's delve deeper into the realm of intelligent automation.

A Software Engineer's Tips and Tricks #3: CPU Utilization Is Not Always What It Seems

Hey there! We're back for our third edition of Tips and Tricks. As we said in our first posts on Drizzle ORM and Template Databases in PostgreSQL, our new Tips and Tricks mini blog series is going to share some helpful insights and cool tech that we've stumbled upon while working on technical stuff. Today's topic is short and sweet. It'll be on CPU utilization and what that metric indicates. If you enjoy it and want to learn more, I encourage you to check out the "further reading" links.

Confluent Unveils New Capabilities to Apache Flink Offering to Simplify AI and Bring Stream Processing to Workloads Everywhere

Confluent's new AI Model Inference seamlessly integrates AI and ML capabilities into data pipelines. Confluent's new Freight clusters offer cost-savings for high-throughput use cases with relaxed latency requirements.

DreamFactory: Now a Snowflake Select Partner!

We’re happy to announce that DreamFactory was added to Snowflake’s Select partnership tier! Our mutual customers are getting tremendous value by using DreamFactory and Snowflake together, and we are excited for more collaboration to come. Through this partnership, we’re aiming to make it easier than ever for businesses to access and utilize their Snowflake data without the headaches of manual API coding.

Snowflake's Arctic-TILT: A State-of-the-Art Document Intelligence LLM in a Single A10 GPU

The volume of unstructured data — such as PDFs, images, video and audio files — is surging across enterprises today. Yet documents, which represent a substantial portion of this data and hold significant value, continue to be processed through inefficient and manual methods.

Scram Authentication: Overcoming Mock Testing Challenges

In the vast landscape of cybersecurity, authentication stands as the guardian of digital fortresses, ensuring that only the right individuals gain access to sensitive information and services. Imagine you’re at the entrance of a top-secret facility, and you need to prove your identity to the security personnel. In the digital realm, this is precisely what authentication mechanisms do – they verify your identity before granting access.

Top Data Governance Tools for 2024

According to Gartner, 80% of companies worldwide are expected to have efficient data management systems in place by 2025. This projection highlights the growing recognition of data governance tools as essential enablers for maintaining and enhancing the quality and security of organizational data within these data management systems. In this blog, we will talk about some of the best data governance tools and software to consider in 2024.

Decoding Mobile App Testing: 7 Crucial Benefits of On-Premise Physical Devices versus Real Device Cloud Environments

In the dynamic space of mobile app development, testing methodologies play a pivotal role in ensuring the quality and functionality of applications across diverse devices and platforms. Traditionally, on-premise physical device testing has been the norm, offering unparalleled insights into real-world scenarios. However, real device cloud testing has revolutionized the landscape, providing newfound agility and scalability.