MarTech 360

City of Hope, Cornerstone Building Brands, Atlas Copco Group, Teranet and ETS honored for turning social data into enterprise-wide strategy, proactive customer care and measurable ROI Sprout Social, the AI-powered Social Intelligence Platform, announced the winners of its inaugural 2026 Social Intelligence Awards, honoring brands and visionaries who have moved beyond basic metrics to uncover deep insights, scale proactive care and drive measurable ROI.

A smarter, simpler way to optimize app campaigns using the measurement outcomes advertisers trust We’re announcing the global rollout of Unified Attribution, now available to app advertisers using AppsFlyer or Adjust, with support for additional MMP partners underway. As we shared earlier this year, Unified Attribution brings together Snapchat platform metrics and MMP cross-channel performance metrics into one unified view to drive improved performance against the outcomes advertisers value.

12-Article Code, Anchored in Pope Leo XIV’s Encyclical Magnifica Humanitas, Works With Any AI Model to Cite Sources, Present Alternative Perspectives, and Return Authorship to the User 404 Innovation Studio, the award-winning Brazilian creative company, in collaboration with Pontifícia Universidade Católica do Paraná (PUCPR) today launched “Never Stop Thinking,” a brand campaign built around the release of the Humanitas Code - a free, open protocol designed to protect human judgment inside...

AlikeAudience, a global omnichannel data company providing privacy-compliant audience intelligence to brands and agencies, today announced the availability of its audience segments within the Amazon DSP Audience Hub. With this integration, advertisers and agency buyers activating campaigns through Amazon DSP Audience Hub can access AlikeAudience’s third-party audience segments across Amazon-owned and operated properties, helping brands extend reach beyond Amazon’s first-party data signals.

Triton Digital, the global technology and services provider to the digital audio, podcast and broadcast radio industries, announced a strategic partnership with RCS, the world's largest broadcast software provider, bringing programmatic advertising capabilities to over-the-air (OTA) radio. By connecting RCS' broadcast playout software with Triton's ad-buying platform, broadcasters can now monetize traditional radio inventory through automatic, data-driven workflows.

Digital Island, one of New Zealand’s premier cloud communications and business IT service providers, and RingCentral, Inc., a global leader in AI-powered customer engagement, announced a strategic partnership to bring Agentic Voice AI solutions to New Zealand businesses.

Docsie announced the expanded availability of Docsie Content Comparison, an AI-powered comparison system designed to help teams analyze large volumes of documentation, video, and knowledge content without manually reviewing every source side by side. Unlike traditional document-diff tools that primarily highlight text changes, Docsie Content Comparison lets users define what they actually want to understand. Teams can ask questions such as: What changed between two versions of this documentation?

When GPT-4o replaced GPT-3, the performance gap wasn't because OpenAI wrote better code. The model trained on more data types simultaneously: text, images, audio, structured data. The relationships between those modalities generated intelligence that a single-input model could not replicate. Large language models (LLMs) became “large multimodal models” (LMMs) the moment researchers realized that intelligence didn't live in text alone.

You enter the website, and even before all images appear, a market has already been established and closed. People have placed their bets, and one person was picked as a winner, money was exchanged. This all happened before you even got to scroll down a little bit. An ad auction takes place right here in milliseconds (to be precise, it takes 100-200 ms to happen). This process is very important in digital advertising.

Marketing AI is becoming much more computationally demanding. The first generation of marketing AI mostly helped people write copy, summarize research, or generate a few campaign ideas. Enterprise teams are now building systems that analyze customer behavior continuously, generate personalized creative, run recommendation models, coordinate AI agents, process multimodal content, and make decisions while customers are still active. That changes what sits underneath the martech stack.