According to recent survey data from Cloudera, 88% of companies are already utilizing AI for the tasks of enhancing efficiency in IT processes, improving customer support with chatbots, and leveraging analytics for better decision-making. More and more enterprises are leveraging pre-trained models for various applications, from natural language processing to computer vision. For that reason, Cloudera is evaluating a new line of business: Cloudera Integrated Data and AI Exchange (InDaiX).

Today is Day 3 of Launch Week, and we are excited to announce not just one, but two new regions are generally available to deploy your low-latency AI workloads, full stack applications, APIs, and databases globally! Join us in welcoming Paris and Tokyo to the Koyeb platform and to a growing list of global locations where you can deploy your applications! As of today GA locations now include: Paris , Tokyo , Washington, D.C. , Singapore , and Frankfurt.

Have you ever struggled to make the value of your data clear to your audience? Numbers and charts are great, but on their own, they often lack the power to inspire your audience to care and act. People also find it hard to understand the results from metrics alone. Conveying the importance of your data, and translating what it means (and why your audience should care) thus requires more context. That's where Stories comes in.

Imagine you’re running a complex, distributed system—everything seems smooth until, without warning, a sudden failure brings the entire operation to a halt. What caused it? How can you prevent it from happening again? This is where chaos testing comes in. Chaos testing, or chaos engineering, is a proactive approach to discovering system weaknesses before they turn into catastrophic failures.

Historically, finance teams largely operated in the background, focusing on record-keeping, compliance, and ensuring that financial operations ran smoothly. Their primary responsibilities revolved around managing costs, balancing the books, and maintaining operational efficiency. In recent years, that has changed.

Whether you’re looking to jump-start a new use case, or accelerate your migration journey, collaborating closely with Confluent and our partners enables you to fulfill the increasing need for real-time customer experiences and applications, opening doors to new growth and success opportunities.

Single-table design is a powerful approach to modeling data in DynamoDB because it allows you to store all your data in one place. This approach can simplify your data model and reduce the number of tables you need to manage. In the traditional approach, you create a separate table for each entity in your application. For example, you might have a table for characters and a table for quests. Each table would have its own primary key and attributes.

As the frenzied hype around generative AI cools off and as we get into the year of ideation, earlier adopters of AI are starting to see the results of initial experimentation. And these conversations are increasingly shifting to a more problem-oriented mentality. A lot of people were understandably swept up in the excitement of all that AI can do, only to find that some use cases were too risky or that those problems could be solved with traditional methods that were less costly.

In today’s data-driven landscape, businesses must continuously optimize their billing systems to stay competitive. Prepaid billing, where customers pay for services upfront before use, offers a flexible solution that benefits both companies and users. By ensuring immediate revenue and minimizing unpaid invoices, prepaid billing empowers businesses, while users enjoy greater control over their spending.

Fivetran's newest innovation, Hybrid Deployment, allows customers to run security-restricted pipelines within their own secure network or VPC, at no additional cost.