Hello Dor, we’re delighted to have you for this interview! Could you kindly provide an overview of your professional journey leading up to your current role as Chief Technology Officer at Connatix?

Hello, thank you for having me! My journey in the tech world began at Microsoft as a software engineer, where I gained a solid foundation in software development. Driven by an interest in the possibilities of AI, I later founded a startup focused on developing technology to analyze text and generate interactive, visual experiences. This was eventually acquired by Connatix, a video technology company for publishers and advertisers. I joined Connatix as VP of AI and Content Automation, and through a series of progressive leadership roles, I recently became the CTO here.

We would greatly appreciate further insights into Deep Contextual technology: how would you delineate it from other offerings presently available in the market?

Connatix’s proprietary Deep Contextual™ solution provides highly detailed, privacy-focused targeting, which is a critical priority for us. Unlike traditional contextual solutions, Deep Contextual leverages a combination of AI-powered technologies to enable a smarter analysis of video and page content in real-time, allowing for more effective targeting – without reliance on cookies.  This not only aligns with current privacy standards but also ensures that the advertising is relevant and effective.

Through AI-powered deep learning, advanced computer vision, and natural language processing, Deep Contextual can contextualize and classify outputs using a real-world understanding of media content, trends, and connections between topics. It recognizes brands, celebrities, sentiments, topics, and subcategories. Furthermore, we engineer advanced machine learning models to integrate Deep Contextual signals with audience data, thereby enhancing our ability to pinpoint intersections of interest. This enables advertisers to effectively target their desired audience while maintaining a commitment to user privacy

This level of precision ensures that ads are placed alongside the correct type of content, leading to better engagement rates and more effective campaigns. For instance, a viewer watching a car review video might see auto ads alongside the video, for the same or similar cars. This targeted approach benefits consumers by showing them relevant ads and strengthens brands by associating them with high-quality content.

Drawing from your experience, what counsel would you extend to aspiring technologists seeking to make a meaningful impact in the advertising technology domain?

My main advice would focus on achieving Product-Market Fit. Often, great ideas may not initially appear significant to customers. It’s important to work in small, manageable steps to validate your assumptions. Identify the pains and gaps in the industry that can deliver tangible value to your customers. And also, always try to find partners in the space to create synergistic relationships.

To Know More, Read Full Interview @ https://ai-techpark.com/aitech-interview-with-dor-leitman-cto-at-connatix/

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