In this fast-paced digital world, organizations are relying on event-driven architecture (EDA) that facilitates real-time responses, flexibility, and scalability in their business systems. To understand EDA is a software design practice that structures a system’s segments to respond to, produce, and process events. For instance, any event creates a significant change in state within a system that is further triggered by external characteristics, such as user activities, sensor inputs, and other systems.The rise of microservices is one cause for the prompt adoption of event-driven API (EDAs) management.
Dor leads the product and R&D teams, overseeing product strategy and development at Connatix. At Connatix, Dor is leading the product delivery organization, including the product and the R&D teams. Previously, Dor was the founder of Kamidoo, an AI-powered text-to-storytelling technology startup that was acquired by Connatix in 2019. After joining Connatix and prior to his current role, Dor served as VP of AI and Content Automation, leading the tech team behind the company’s content analysis and generation technologies.
Synthetic data can be defined as data that is not acquired through actual occurrences or interactions but rather created fake data. It is specifically intended to mimic the characteristics, behaviors and organizations of actual data without copying them from actual observations. Although there exist a myriad of approaches to generating synthetic data, its generation might use simple rule-based systems or even more complicated methods, such as Machine Learning based on GANs. It is aimed at creating datasets which are as close as possible to real data, yet not causing the problems connected with
Generative AI has swiftly become popular among marketers and has the potential to grow to a $1.3 trillion industry in the next 10 years. OpenAI’s ChatGPT is just one growth example—rocketing to over 100 million users in just two months of its release. Many have hailed generative AI as a process-changing tool that can quickly produce swaths of content with minimal human intervention, drastically scaling content production. That’s the claim anyway. But as AI becomes more prevalent, its use in content production opens several questions — does generative AI actually produce quality content? Can it
In this digital world, data governance is a critical tool for operating any data-driven organization. As data continues to be favored in business operations, data governance measures are required to keep all data secure, accurate, and updated. Therefore, to remain on top of the data governance game, the data engineering teams must understand the multiple options that will aid them in developing data governance strategies that perfectly suit their respective businesses. So to stay ahead of the technological curve, we will look at some of the top data governance trends and forecasts for 2024, which
Kobi Kalif is the CEO and co-founder of ReasonLabs, a provider of enterprise-grade cybersecurity protection to home users all around the world. Kobi is an entrepreneur and engineer with more than 15 years of experience in cybersecurity and research & development. Before acting as ReasonLabs’ CEO, he worked at various startups and enterprises leading development teams and serving as a VP of R&D. Outside of leading his team of cyber defenders, Kobi enjoys playing basketball and spending time with his two kids. He resides in Tel Aviv, Israel
Ever wondered how metadata can power data security and compliance in real-time? Take a deep dive into the future of data fabric architecture.
Artificial intelligence has already had a positive effect on several industries, but unfortunately, this popularity and success have caused some wrongdoers to attempt to capitalize on the AI boom in unethical and illegitimate ways. One such practice is known as “AI washing,” and it is arguably one of the biggest threats to the continued growth of AI. AI washing is most easily understood by comparing it to the similar practice of greenwashing, in which companies misrepresent their products as being more eco-friendly than they actually are. Similarly, AI washing involves making false representations