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appian

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

May 3, 2024 By Roland Alston In Appian
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.
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cloudera

Get Your AI to Production Faster: Accelerators For ML Projects

May 3, 2024 By Jacob Bengtson In Cloudera
One of the worst-kept secrets among data scientists and AI engineers is that no one starts a new project from scratch. In the age of information there are thousands of examples available when starting a new project. As a result, data scientists will often begin a project by developing an understanding of the data and the problem space and will then go out and find an example that is closest to what they are trying to accomplish.
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Koyeb

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

May 3, 2024 By Julien Castets In Koyeb
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.
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confluent

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

May 2, 2024 By Confluent In Confluent
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.
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Cigniti

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

May 2, 2024 By Cigniti Technologies In Cigniti
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.
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snowflake

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

May 2, 2024 By Snowflake AI Research In Snowflake
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.
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Behind The Scenes Of Snowflake Open Source LLM Arctic

May 2, 2024 By Snowflake In Snowflake
Snowflake CEO Sridhar Ramaswamy and Snowflake Head of AI Baris Gultekin join Adrien Treuille, Director of Product Management, to discuss the launch of Snowflake Arctic, the latest enterprise-grade, truly open large language model (LLM). Snowflake Arctic stands out in the competitive landscape with its exceptional efficiency and cost-effectiveness, emphasizing Snowflake's commitment to open-source development and the future of enterprise AI. Join us to explore how Arctic is set to revolutionize industries by making advanced AI more accessible and trustworthy.
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