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Embedded Software Security for Industry 4.0 and the Internet of Things

Technology is booming now more than ever, and every day brings new products and functionality for every unimaginable task. It is not just about mobile apps and computers anymore; instead, it is all about embedded systems and Internet-of-Things (IoT) devices that have quickly become so commonplace, both in our day-to-day lives and in industries like industrial automation.

From Potential Disaster To Driver of Change... Data Execs Share Their Journeys To Effective AI

A potential recipe for disaster proved to be the focus of every data executive’s agenda over the last year. A year ago many data leaders were caught off-guard. Employees embraced new gen AI tools with fervor, driving interest in all AI initiatives. Generative AI had penetrated the enterprise, with gen AI positioned in the Peak Of Inflated Expectation segment on the Gartner Hype Cycle for Artificial IntelligenceI, 20231.

Will AI coding create more monoliths?

Let’s start with a statement everyone can agree on: AI coding is now a permanent fixture of the software development lifecycle. Even if your team hasn’t introduced it officially yet, it’s only a matter of time before one of your peers kicks off the discussion or pushes a PR that, perhaps even unbeknownst to you, is entirely AI-generated. Now, let’s rub some folks the wrong way: AI coding in a microservices architecture is a recipe for disaster.

Introduction to Open Source, Open Standards and Self Describing Data

Digitalization is revolutionizing every aspect of our lives, and understanding the concepts of open source and open standards is crucial. But these aren't just geeky tech concepts, they represent a whole philosophy of collaboration and sharing that's fueling innovation. And open standards? Think of them as the great enablers of interconnectivity. These guidelines ensure different technologies can talk to each other and share data seamlessly across platforms.

Confluent Cloud for Apache Flink | Interactive Tables for Flink SQL Workspaces

When developing or debugging a stream processing pipeline with Flink SQL, it’s common to inspect each processing step's output to ensure data is being transformed properly. However, comprehending the resulting data stream's structure, distribution, and characteristics entails executing multiple ad-hoc SQL queries, which can be time-consuming and tedious. Additionally, isolating specific subsets of the stream for analysis or debugging often involves even more queries, adding to the complexity and time required.

3 Ways Analyst Relations Professionals Can Leverage AI

How to leverage artificial intelligence to enhance the value and impact of analyst relations. Analyst relations (AR) is a strategic function that aims to build and maintain positive relationships with industry analysts, influencers, and experts who provide insights, guidance, and recommendations to technology buyers and vendors.