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A New Dawn of Proactive Problem Solving: Dynamic Software Observability and Dynamic Logging

Let’s talk about the world’s currently trending topic for a second: AI. Now, before you click out of this blog, sighing to yourself that this is yet another blog that wants to tell you how to write code with ChatGPT; bear with us. As almost everyone has used some form of AI – especially ChatGpt – to help them with some form of a task, we can all agree that it’s quite an interactive experience.

Progressive Web Apps (PWAs): Bridging the Gap Between Web and Mobile Development

Not even Tim Berners-Lee, the inventor of the world wide web, could have predicted the pace or breadth of its expansion over the last 30 years. Once, the web was only accessible via clunky desktop computers: today, it can also be reached from laptops, tablets, mobile phones and even smartwatches. What’s more, consumers want native apps that are unique to a particular platform and they expect updates to be provided seamlessly.

MLOps for Gen AI - MLOPs Live #23 - QuantumBlack AI by McKinsey

In this session, Yaron Haviv, CTO Iguazio was joined by Nayur Khan, Partner, QuantumBlack, AI by @McKinsey and Mara Pometti​, Associate Design Director, McKinsey & Company to discuss how enterprises can adopt GenAI now in live business applications. There was a very engaging Q&A session with many relatable questions asked.

Snowflake Native App Framework Now Available to Developers in AWS

At Snowflake Summit 2022, we introduced a new way of building apps with the Snowflake Native App Framework. Today, we are excited to bring the power of the Snowflake Native App Framework to developers around the world with the public preview in AWS. Developers can now start building and testing Snowflake Native Apps in their accounts in AWS. Distribution and monetization capabilities will be available in public preview on AWS later this year.

Generative AI + Low-code: 4 Things to Know

Ancient Greek mathematician Archimedes once said, “Give me a lever long enough and a fulcrum on which to place it, and I shall move the world.” He was right. When you intelligently use the right tools, you can move worlds and accomplish what on the surface seems impossible. Right now, developers are doing the impossible—building applications in record time that truly transform industries, improve business processes, and unlock radical productivity.

Snowpark Container Services: Securely Deploy and run Sophisticated Generative AI and full-stack apps in Snowflake

Containers have emerged as the modern approach to package code in any language to ensure portability and consistency across environments, especially for sophisticated AI/ML models and full-stack data-intensive apps. These types of modern data products frequently deal with massive amounts of proprietary data.

How to get the most out of your dbt Cloud instance

You may already be familiar with dbt, but just to be sure we're on the same page, let's revisit the concepts. The Data Build Tool (dbt) is a widely used framework provided by dbt Labs, specifically designed to bridge the gap between data analysts, data engineers, and software engineers, resulting in the creation of a new role in data and analytics: the analytics engineer.

Get Gravitas and Go Amazonian: Kong Validated for AWS Graviton3, Amazon Linux 2023 OS

Today, we’re thrilled to announce that Kong Enterprise and Kong Konnect Data Planes are now validated to run on AWS Graviton3 processors and Amazon Linux 2023 OS. As an APN Advanced Tier Partner of AWS, we were delighted to have the opportunity to benchmark Kong Enterprise running on AL2023 and Graviton3.

ThoughtSpot acquires Mode: Empowering data teams to bring Generative AI to BI

At ThoughtSpot, we know how important it is for businesses of every size and industry to empower every knowledge worker with personalized, actionable data-driven insights. These insights are your secret sauce to making better business decisions, growing faster, and delivering customer experiences that keep people coming back for more. But how do you scale self-service analytics to business users without completely overwhelming your data teams?