EX.CO's Agentic AI Taxonomy Solution Revolutionizes Video Archives for Publishers.

EX.CO has launched a new agentic AI taxonomy feature across Ziff Davis properties, enabling publishers to automatically categorize video content using proprietary and industry-standard classification models. This solution organizes video libraries, eliminates manual tagging, and enhances searchability and monetization. It uses Large Language Models to analyze video content frame by frame, generating rich metadata across 30 dimensions. The solution complements existing editorial taxonomies and translates structure into real monetization opportunities.

Alibaba Group (BABA) has launched an upgraded version of its third-generation Qwen3 family of large language models (LLMs), enhancing its AI capabilities in math and coding to outperform top models from OpenAI and DeepSeek in key benchmarks [1]. The new open-source model, Qwen3-235B-A22B-Instruct-2507-FP8, delivered marked improvements in instruction following, logical reasoning, coding, science, and tool usage.

The upgraded Qwen model currently operates in a non-thinking mode, delivering direct outputs without displaying reasoning steps. However, it now supports inputs of up to 256,000 tokens, representing an eightfold increase in processing capacity. This allows the model to handle much longer text sequences within a single conversation [1].

Alibaba has also announced that its 3-billion-parameter Qwen model will power HP’s “Xiaowei Hui” smart assistant in China. This integration aims to help users more efficiently draft documents and summarize meetings. Performance data shows that Qwen3-Coder surpassed domestic rivals such as DeepSeek and Moonshot AI’s K2 in key coding benchmarks. The model rivals top U.S. offerings, including OpenAI’s GPT-4 and Anthropic’s Claude, in select capabilities [1].

Meanwhile, BlackSky Technology Inc. (BKSY) has delivered its first AI-enabled analytics derived from new, very high-resolution imagery captured by the company’s first Gen-3 satellite three weeks after its successful February 18 launch. The AI-automated detection and identification algorithms transform Gen-3 imagery into actionable, precision insights at machine speed and scale over tactical objects of interest [2].

BlackSky's AI is designed to enable the automatic detection, identification, and classification of a wide library of vehicles, aircraft, vessels, and other objects of tactical interest with industry-leading precision. The model is designed to recognize and discern differences between various types of vehicles and vessels, enhancing operational efficiency and giving analysts the ability to quickly and efficiently extract valuable insights from vast amounts of imagery [2].

The advancements in AI technology from Alibaba and BlackSky underscore the rapid progress in the global AI race. These developments could drive new opportunities for investors and financial professionals, particularly in the tech and defense sectors. Alibaba stock has seen substantial gains this year, increasing over 42% year-to-date and outperforming the NYSE Composite Index’s rise of over 8% [1].

References:
[1] https://www.benzinga.com/markets/tech/25/07/46566307/alibabas-upgraded-qwen3-outperforms-openai-deepseek
[2] https://www.businesswire.com/news/home/20250313947048/en/BlackSky-Delivers-First-AI-Enabled-Analytics-Derived-from-Very-High-Resolution-Gen-3-Imagery-Three-Weeks-Following-Launch