How TalkingData and Volcano Engine Upgrade Their Partnership to Build a Data Foundation for Industry AI Agents

Practice Sharing: AI Data Full‑Link Enables Intelligent Agent Deployment

TalkingData highlighted the growing demand for embedding agents into business workflows, noting that only a few enterprises have achieved scalable value. In its keynote at the FORCE data forum, the company discussed industry‑intelligent‑agent trends, the construction of high‑quality data sets, and the importance of compliant data circulation.

The company broke down a high‑quality data set into four dimensions—knowledge domain, training stage, production mode, and data modality—and emphasized the need for end‑to‑end capabilities covering collection, annotation, governance, quality inspection, and compliance to support training, fine‑tuning, evaluation, and real‑world application.

Two practical paths were showcased: a multimodal expert data set for professional scenarios (images, documents, tables, workflows, business rules) that improves model abilities such as image‑text understanding, OCR, UI comprehension, and rule recognition; and a marketing full‑link data loop that connects demand analysis, content generation, distribution, and effect evaluation, moving marketing from one‑off content creation to sustainable, data‑driven optimization.

Beyond data sets, TalkingData announced further collaboration with Volcano Engine, leveraging Volcano’s model fine‑tuning (Volcano Ark) and agent‑building tools (Coze, HiAgent) to connect data, model, and task execution capabilities, pushing agents from “demonstrable” to “executable and deliverable.”

Strategic Cooperation: Connecting Data, Model, and Scenario End‑to‑End

The partnership will focus on three major directions:

AI + Cloud: Co‑building an industry large‑model foundation —TalkingData will open high‑quality data sets and professional annotation/governance services, while Volcano Engine provides a one‑stop large‑model development platform and elastic compute, jointly incubating vertical‑industry large‑model applications to lower AI adoption barriers.

Enterprise Digitalization: Creating Data Agent Intelligence —Volcano Engine will help TalkingData build a custom “Data Agent” that can, via natural‑language interaction, automatically extract data, detect anomalies, perform attribution analysis, and recommend strategies within customer business and financial flows, compressing tasks that once took hours into minutes and enabling real‑time decision making.

Data Application: Optimizing the Entire Data Production Process with AI —Using Volcano Engine’s general model capabilities and industry‑specific fine‑tuning, TalkingData will upgrade its data pipeline—including collection, cleaning, labeling, and model training—to achieve automation and intelligence, markedly improving data quality, timeliness, and compliance for more precise business insights.

Earlier collaborations on EMR, DataLeap, and other Volcano Engine data products have already yielded measurable benefits: over 30% reduction in overall resource cost, a 100% increase in resource scaling efficiency, and a 215% acceleration in data processing speed, laying a solid foundation for deeper AI integration.

For a company that serves finance, consumer, and automotive sectors with AI data services, ongoing open cooperation with Volcano Engine is a key strategy to maintain competitive advantage. Looking ahead, as data platforms, model platforms, and application platforms become increasingly intertwined, data will evolve from a mere analysis object to a core production factor that drives models, powers intelligent agents, and captures business feedback.

The FORCE conference presentation underscores that high‑quality data and modern data foundations are becoming essential support for industry intelligent agents to move into real business scenarios.