AI in Research
2026-05-13 07:17:35

Creating an AI-Driven Research and Analysis Workflow for Effective Business Outcomes

Introduction


In today's rapidly evolving market landscape, the integration of Artificial Intelligence (AI) in research practices has become paramount. Acknowledging this shift, Cross Marketing, a leading research company based in Tokyo, is hosting an insightful seminar on May 19, 2026. This session aims to explore effective strategies to utilize AI for research and data analysis while preventing the pitfalls of dependence on individual insights.

The Current Landscape of Research and AI


The seminar begins by examining the current state of integrating generative AI into research tasks. Despite the growing demand for utilizing AI in data analysis, many organizations face challenges. Common obstacles include generating superficial insights and failing to derive actionable strategies from simply compiling raw survey data.

To truly unlock the potential of AI in research, it's essential to input comprehensive organizational knowledge and context. This means going beyond basic prompts and developing a cohesive approach to the entire analytical process. By doing so, businesses can achieve remarkable outcomes, illustrated by successful case studies:

  • - Internalizing and accelerating brand research analysis to quickly plan follow-up actions.
  • - Applying unique marketing frameworks within AI systems to minimize interpretative biases.
  • - Automating the generation of standardized reports in PowerPoint format, thereby enhancing organizational efficiency.

Seminar Details


In the upcoming seminar, attendees will witness real-world examples of data and analysis processes, demonstrating how generative AI can contribute to substantial achievements in the research sector.

Key Program Highlights


1. Current Trends: Understanding the integration of generative AI with research data analysis and identifying common stumbling blocks.
2. Live Demo: Observing how disjointed data transforms into a unified insight through AI.
3. Structuring Insights: Focused discussions on preventing personification and converting tacit knowledge into organizational outcomes through systematic analysis.
4. Future Prospects: Evaluating what advancements in generative AI could mean for future research and analytical tasks.

Who Should Attend?


This seminar is ideal for:
  • - Professionals in research departments looking to harness generative AI to drive business outcomes.
  • - Individuals seeking a practical understanding of AI analysis and its implications for research.
  • - Organizations interested in improving the usage of generative AI in survey data analysis but facing implementation hurdles.

Event Overview


Note: Registrations from competing companies may be restricted.

Company Overview


Cross Marketing was established in April 2003 and offers marketing research and consultation services. The company focuses on evolving methodologies to serve as a reliable marketing partner, tailoring solutions to meet clients' unique needs.
  • - Website: Cross Marketing
  • - Location: 24F, Tokyo Opera City Tower, 3-20-2 Nishishinjuku, Shinjuku Ward, Tokyo

Inquiry Contact


For inquiries regarding this release, please reach out to the seminar office of Cross Marketing at [email protected].


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Topics Business Technology)

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