Snowflake has launched an AI governance layer that helps enterprises monitor AI agents, enforce security policies and manage AI costs at scale.
Axis Finance has appointed Abhishek Bose as Chief Data Officer to strengthen enterprise data capabilities and accelerate data-driven decision making.
A new Kana survey finds 70% of enterprises already use AI marketing agents, while governance, ownership and data readiness remain key challenges.
First-party data is central to marketing in 2026, but many organisations still struggle to turn data into actionable insights and measurable outcomes.
India selects six firms to support its government AI rollout, focusing on scaling AI adoption across public sector services.
India’s DPDP law is reshaping martech by enforcing stricter consent, data retention, and governance, shifting marketing from data abundance to accountability.
Enterprises are architecting AI agents into martech stacks to enhance automation, data integration and campaign performance.
Unilever has appointed Reema Jain as Chief Information Officer to lead global IT and digital transformation initiatives.
As marketing teams adopt AI and SaaS tools at speed, CMOs are losing visibility over fragmented, invisible martech stacks, creating governance, data, and ROI challenges.
India’s DPDP Act 2023 introduces strict consent, data retention and breach rules, forcing marketers to rethink how they collect, store and use consumer data.
India proposes mandatory royalties for AI training data, urging tech firms to compensate creators and ensure transparency in model development.
India activates the DPDP Act rules, bringing the country’s first real privacy law into force. New regulations mandate explicit consent, strict data governance, and enforceable user rights.
Synthetic data is transforming marketing by enabling AI model training without breaching privacy, helping brands innovate ethically and personalize responsibly in India’s data-regulated era.
Indian enterprises are building AI-ready CRM systems by unifying data, training teams, and balancing automation with human oversight to drive measurable business growth.
RAG (Retrieval-Augmented Generation) is reshaping marketing by grounding AI in real data, enabling smarter insights, personalized content, and context-aware customer engagement across campaigns.
