The first time I learned about snapshot testing was in the context of front-end testing. It made a lot of sense. Writing an assertion-based test to check if a component was correctly rendered as HTML is tricky. And difficulty grows with the complexity of the output. Snapshot testing seemed a reasonable technique to get the job done, even with some caveats.

We’re excited to share the latest and greatest features on Confluent Cloud, in our first launch of 2024. This Cloud Launch comes to you from Kafka Summit London, where we talked about the latest updates highlighted in our launch, including serverless Apache Flink®, some exciting pricing changes, updates to connectors, and more! We also shared our vision for a future offering, Tableflow.

As your company grows, so do the challenges of managing user access and data security. For many of us, it’s a common situation – the account that started with a few key players now has multiple users with different access levels. New team members join, roles evolve, team members move on to new opportunities, and sometimes external players (like contractors or clients) need temporary access to your account.

The Apache Flink® community unveiled Apache Flink version 1.19 this week! This release is packed with numerous new features and enhancements. In this blog post, we'll spotlight some of the standout additions. For a comprehensive rundown of all updates, don't forget to review the release notes.

In just a few months, enterprise AI has rapidly evolved into a strategic partner for organizations that want to stay ahead of the disruption curve. Whether enterprises are leveraging predictive analytics for strategic decision-making, using machine learning algorithms for supply chain optimization, or applying generative AI and large language models to enhance customer service, it’s clear AI will help business in many ways.

Think back just a few years ago when most enterprises were either planning or just getting started on their cloud journeys. The pandemic hit and, virtually overnight, the need to radically change ways of working pushed those cloud journeys into overdrive. Cost-effective adaptability was essential. And the companies that could scale up or scale down quickly were the ones that navigated the pandemic successfully. Migrating to the cloud made that possible.

A Smartsheet report found that over 40% of workers spend at least a quarter of their workweek manually extracting data. Tax specialists in many organizations spend hours or even days sorting through piles of paper or PDF documents, looking for relevant information, and entering it into spreadsheets or databases. That’s a lot of time and money wasted on a tedious and error-prone process. Fortunately, there is a better way to handle tax form data extraction.

Enterprises looking to increase productivity and optimize business processes are increasingly turning to artificial intelligence (AI). AI can meet these expectations—but only with the right enabling technology. Intelligent automation at scale across the organization can offer a strategic approach to incorporating AI into complex business processes.

The fascination with Artificial Intelligence (AI)-driven devices that streamline tasks continues to captivate individuals, driving the perpetual evolution of technology. Among the latest innovations captivating the tech industry’s imagination are chatbots. These virtual agents represent a culmination of advancements in artificial intelligence, marking a paradigm shift in how we interact with technology.

The editorial team of Hitachi Vantara sat down for an interview with our Chief Product Officer, Octavian Tanase, to learn about his vision and strategy for AI in the enterprise.