Maximizing Adtech Strategies with Data and AI

Find out how broadcaster and streaming services can use data and AI to develop and deploy AdTech.

Create new revenue streams and customize experiences with Adtech that delivers value

The global AI in advertising market, valued at $12.8 billion in 2022, is expected to reach $50.8 billion by 2030. Media companies are increasing turning to AI to help optimize ad placements, drive predictive modeling and support the personalization of user experiences. Central to AI implementation is data, which is both the means to train AI solutions to carry out tasks, and the byproduct of effective AI deployment. In this way media providers can better analyze platform performance, understand user behavior, anticipate emerging trends and deliver the right content to the right user at the right time. Download insights from media industry experts and learn how data and AI can support your Adtech goals and generate revenue.

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What will you learn from this ebook?

Strategies to monetize Adtech

Learn how AI and data can help you reach wider audiences, manage digital campaigns and drive return on investment.

Benefits of auto-tagging

Discover how auto-tagging can improve content analysis, increase discoverability, enhance efficiency and enable more precise targeting.

Advice from media industry experts

Gain insights on how data and AI can strengthen your offer, drive innovation, enhance operations and grow your audience.

Applications of predictive modeling

From programmatic advertising to churn prediction and ad inventory management, explore how AI algorithms can forecast future trends and consumer behavior.

Best practices for customizing platforms

Dive deeper into how video-on-demand (VOD) and over-the-top (OTT) platforms are tailoring experiences to boost engagement and user retention rates.

Strategies to monetize Adtech

Learn how AI and data can help you reach wider audiences, manage digital campaigns and drive return on investment.

Applications of predictive modeling

From programmatic advertising to churn prediction and ad inventory management, explore how AI algorithms can forecast future trends and consumer behavior.

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Authors

Justyna Grabska-Sepielak

Software Delivery Manager

A senior manager with over 10 years of experience in leadership, operations, and project management, Justyna is passionate about building strong, supportive teams and fostering an environment where people feel valued and motivated to do their best work. Excellent organizational skills and a collaborative approach enable her to focus on achieving outstanding results, while always putting her team first. Justyna enjoys working towards shared goals and helping teams thrive in any situation, though she prides herself in creating a positive and productive workplace.

Laurence Mifsud

SVP, Global Head of Media & Entertainment

As a business leader with over 25 years’ experience in the media, tech and entertainment product & service sectors, Laurence has held global responsibility for planning and implementation of go-to-market strategies and business development initiatives during his career. Along with extensive experience in team leadership, he is skilled in sales & staff management and well versed in the media industry, especially the broadcast space. Currently, Laurence is spearheading the growth of the Media & Entertainment business unit globally for Software Mind from its inception at incubator stage to exponential growth across European, US and MENA markets.

About Software Mind

Engineering and consultancy services for the media and entertainment industry

Software Mind is a global digital transformation partner with operations throughout Europe, the US and LATAM. For over 25 years, our engineers and domain consultants have been accelerating transformations and boosting software delivery for companies across industries.

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