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How AI and Data Shape Future Ad Tech for Brands

September 22, 2025•Garett Sloane•Original Link•1 minutes
AdTech
Marketing
AI

Brands leverage AI, data, and composable apps to develop next-gen marketing platforms

September 22, 2025 — Brands are rapidly adopting AI, data analytics, and composable applications to build next-generation marketing platforms. This shift signals a transformative era in digital advertising, where personalization and efficiency take center stage.

Key Trends Shaping Ad Tech

  • AI-Driven Campaigns: Machine learning optimizes ad targeting and performance in real time.
  • Data-Centric Strategies: First-party data collection and privacy-compliant analytics dominate.
  • Composable Apps: Modular software allows brands to tailor marketing tech stacks dynamically.

"The future of advertising lies in blending AI’s precision with human creativity," analysts predict.

Brands investing in these technologies aim to reduce waste, enhance engagement, and future-proof their strategies. However, challenges like data privacy regulations and algorithmic bias remain critical concerns.

What’s Next?

  • 2026-2030: Expect hyper-personalized ads powered by generative AI.
  • Regulatory Evolution: Governments may introduce stricter ad-tech transparency laws.

For now, the race is on to build agile, AI-augmented marketing ecosystems.

Related News

October 2, 2025•Almir Vuk

Microsoft Releases Open-Source AI Agent Framework

Microsoft unveils its open-source Agent Framework to streamline AI agent development with enterprise-ready tools and simplified coding.

Microsoft
AI
OpenSource
October 2, 2025•GoDaddy Inc.

GoDaddy Launches Trusted Identity System for AI Agents

GoDaddy introduces a trusted identity naming system for AI agents to verify legitimacy and ensure secure interactions as the AI agent landscape grows.

AI
Cybersecurity
DigitalIdentity

About the Author

Dr. Lisa Kim

Dr. Lisa Kim

AI Ethics Researcher

Leading expert in AI ethics and responsible AI development with 13 years of research experience. Former member of Microsoft AI Ethics Committee, now provides consulting for multiple international AI governance organizations. Regularly contributes AI ethics articles to top-tier journals like Nature and Science.

Expertise

AI Ethics
Algorithmic Fairness
AI Governance
Responsible AI
Experience
13 years
Publications
95+
Credentials
2
LinkedInResearchGate

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