"In 10 years, half of today’s jobs would disappear." It has been 10 years since Michael Osborne's 2013 prediction made a significant impact on the world. AI has been increasingly adopted, leading to the automation of many repetitive tasks. At the same time, new job roles and opportunities, such as data scientists and prompt engineers, have emerged. Companies need to rethink their business models and operations beyond traditional frameworks.

Our Essential

The key to successful AI implementation lies not only in technical expertise but also in a deep understanding of the business and its operations. Baycurrent consultants have extensive knowledge across diverse industries and operations, and they engage deeply with clients to thoroughly understand their challenges. They then deliver practical solutions tailored to the specific business processes. While this approach may seem straightforward at first, it is a proven and highly effective method. We take pride in adhering to this tried-and-true approach for AI implementation and operation.

Featured Cases

Development of AI for Analyzing Consumer Preferences

Promoted the planning and development of a preference AI engine that analyzes consumer preferences and suggests optimal dishes. Data on food preferences was collected through a survey of 5,000 people, and logic was developed to identify preferences. Also, logic was developed to automatically assign tags to approximately 7,000 recipes. Ultimately, the system was connected to a personal recommendation service and had functionality expanded with an eye toward external sales, providing new value to the client and establishing a competitive advantage.

Formulating and Promoting a Roadmap for Utilizing AI

Summarized interviews with prominent professors, startups, government agencies, and other experts to develop an AI technology forecast. Based on this forecast, the capabilities of AI were categorized into short-term, medium-term, and long-term possibilities. Use cases were expanded by mapping the power company's business domain on the vertical axis and AI capabilities on the horizontal axis. These use cases were assessed for their business impact and incorporated into a roadmap and action plan. Efforts were focused on advancing the implementation of near-term use cases.

Creating a Data Platform Business Using AI for Dashcam Video Analysis

A leading Japanese parts manufacturer experienced declining profits due to the commoditization of manufacturing and aimed to provide new value through value creation. However, they lacked experience in value creation businesses. To address this challenge, we utilized our expertise in both business and digital domains to provide consistent support for their business planning and system development. Our role included everything from formulating the business model and selecting collaborative partners to developing an AI-based driving diagnostic system, ultimately resulting in the creation of a new business.

Cases

Promoting Alliances for AI Introduction

We supported collaboration negotiations with a Silicon Valley startup to implement AI in administrative areas. This included conducting research, developing negotiation strategies, devising negotiation points, and supporting the actual negotiations in the U.S.

Improving Safety Measures at Steel Companies with Generative AI

We developed a chatbot that references past reports to streamline safety measures. We defined non-functional requirements and data lifecycle operations, and supported company-wide deployment.

Development of Foreign Object Detection Service Using Image Recognition AI

We planned a service that uses image recognition AI to detect foreign objects mixed in scrap iron. We also managed vendors for system development and launched the service after implementing measures to accelerate AI learning.