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The Evolution Of Programmatic: How DSPs and SSPs Are Redefining Their Value for Advertisers and Publishers

Ad Monsters

billion in 2024 and forecasted that it would reach $133.39 Invest in Intelligent Automation Tapping into the power of machine learning and AI can transform platforms into intelligent superpartners. Verified Market Research valued the global DSP market at $25.46 billion by 2031 at a CAGR of 23%. billion in 2025 to $215.49

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Key marketing lessons from startup to scale-up

Martech

AI, machine learning and big data analytics can help drive your decision-making, streamline operations and enhance customer engagement. Privacy-first strategies and transparent data practices build customer trust, ensuring compliance with regulations like GDPR and CCPA. Are you getting the most from your stack?

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How to Scale Campaigns Using Synthetic Data Advertising

Single Grain

Privacy-compliant audience expansion becomes possible without third-party data as synthetic data advertising generates GDPR-compliant audience segments that mirror real-user attributes within 10% accuracy, delivering double-digit lifts in return on ad spend. Gartner projects that by 2024, 60% of the data used in AI will be synthetic.

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The AI Takeover: AdMonsters 2024 Generative AI Predictions

Ad Monsters

As Jeremy Haft, Chief Revenue Officer, Digital Remedy, said, “2024 marks a pivotal year as the buzz surrounding Generative AI transforms into tangible actions within the advertising industry.” But right now, those concerns are holding back progress – a realization many brands will need to come to in 2024.

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Advanced Consumer Behavior Modeling

The Ad Tech Blog

Techniques such as machine learning and AI are increasingly used to identify patterns and predict future behaviors, making the process more efficient and accurate. With increasing regulations like GDPR and CCPA, companies must ensure they handle consumer data responsibly.

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Role of AI in Threat Detection and Response within DevSecOps

The Ad Tech Blog

Improved Accuracy: Machine learning algorithms help reduce false positives in threat detection, improving the overall accuracy of security operations. Machine learning algorithms are trained on historical data to identify patterns and predict potential security threats.

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How to Generate Personalized Articles with AI: A Strategic Guide for Marketers

Single Grain

Machine learning algorithms identify patterns in user behavior and preferences. billion in 2024, and more brands are investing in this technology. Ensure compliance with privacy regulations, such as the GDPR and CCPA. Predictive analytics anticipates what content will resonate with specific segments.