Join us, Michele on Qualiteg's adventure to innovation

AI-Business

Qualiteg Selection, Idea Creation #5: How to Use Mandalart

Hello to everyone visiting the Qualiteg blog—I'm Michele. Working on AI-driven new businesses and marketing, I hear certain questions from clients again and again. Through this blog, I would like to share my own answers to the challenges that anyone exploring AI-powered business development is likely to

AI-Business

Qualiteg Selection, Idea Creation #4: How to Use Osborn's Checklist

Hello to everyone visiting the Qualiteg blog — I'm Michele. Working on AI-driven new business development and marketing, I often receive similar questions from clients. Through this blog, I would like to share my own answers to the challenges that anyone considering AI-powered business ventures is likely to face.

AI-Business

Qualiteg Selection, Idea Creation #3: How to Use Brainwriting

Hello to everyone visiting the Qualiteg blog — this is Michele. In my work on AI-driven new business development and marketing, there are questions I hear from clients again and again. Through this blog, I would like to offer my own answers to the challenges that anyone exploring AI-powered business development

AI-Business

Qualiteg Selection, Idea Creation #2: How to Use SCAMPER

Hello to everyone visiting the Qualiteg blog — this is Michele. In my work on AI-driven new business development and marketing, there are questions I hear from clients again and again. Through this blog, I would like to offer my own answers to the challenges that anyone exploring AI-powered business development

[ChatStream] GPU Server Configurations for Large-Scale LLM Inference

In this video, we take a detailed look at the GPU server configurations required for inference with large-scale LLMs (large language models) and how they work together with ChatStream. Using the Llama3-70B model as an example, we explain its memory requirements (140 GB of GPU memory) and the GPU server

AI-Business

[AI-Driven New Business Creation] Qualiteg Selection, Idea Creation #1: How to Use Qualiteg-Style Online Brainstorming

Hello to everyone visiting the Qualiteg blog. I'm Michele. In my work on AI-driven new businesses and marketing, there are questions I hear from clients again and again. Through this blog, I would like to offer my own answers to the challenges that anyone considering an AI-based business

AI-Business

[AI-Driven New Business Creation] Why Qualiteg Believes in Using Idea Creation Frameworks

Hello to everyone visiting the Qualiteg blog. I'm Michele. In my work on AI-driven new businesses and marketing, there are questions I hear from clients again and again. Through this blog, I would like to offer my own answers to the challenges that anyone considering an AI-based business

AI-Business

[AI-Driven New Business Creation] Why Divergent Thinking Is Essential to Idea Creation: The Qualiteg View

When generating new business ideas, involve all internal stakeholders across diverse roles and backgrounds, not just your own department. This brings in multiple perspectives, makes feasible ideas more likely, strengthens communication early on, and leads to more concrete, effective solutions.

AI-Business

[AI-Driven New Business Creation] Qualiteg's View on What to Do and What Not to Do in Idea Creation

At Qualiteg, we see idea creation as the foundation for new value. Embrace diverse perspectives, keep an open mind, use generative AI, and involve team members from different backgrounds. Prototype and validate early, avoid fixating on one idea, and stay flexible to choose the best option.

AI-Business

[AI-Driven New Business Creation] The Five Steps of Idea Generation, as Qualiteg Sees Them

For clients who struggle with idea generation, we explain five steps: set a clear objective, then move through idea creation, deepening, service design, business model design, and evaluation. The process verifies that ideas can stand as a real business, aligned with the agreed objective.

AI-Business

[AI-Driven New Business Creation] Qualiteg's Original Method for Effectively Comparing Customer Problems

To compare customer problems, research market size, look for synergies with existing businesses, and examine feasibility. Evaluate each problem by market potential, fit with current businesses, technology, and cost, then score and compare the results to clarify which market to enter.

AI-Business

[AI-Driven New Business Creation] Qualiteg's Original Method for Effectively Evaluating Customer Problems

Many companies choose customer problems on a planner's intuition, which often leads them astray. Selection requires a deep grasp of market and user needs and alignment with the business's purpose. Qualiteg recommends choosing problems that fit the purpose agreed with the business owner up front.

AI-Business

[AI-Driven New Business Creation] The Qualiteg Way: Defining Customer Problems Based on Hypothesis-Exploration Interviews

In new business consulting, many people want to jump straight into brainstorming. In practice, a fact-based grasp of customer problems leads to better plans. The process covers reconfirming customer needs, extracting insights, and diverging on problems with the How Might We framework.

AI-Business

[AI-Driven New Business Creation] How Qualiteg Builds Empathy Maps for Understanding Customers

Hello, and welcome to the Qualiteg blog. I'm Michele. In my work on AI-driven new business development and marketing, there are certain questions I hear from clients again and again. Through this blog, I would like to share my own answers to the challenges that people exploring AI-based

AI-Business

[AI-Driven New Business Creation] Qualiteg's Original Method for Defining Target Personas

Creating a persona is often a first-time experience even for corporate planners in new business training. Personas are essential to service design and marketing strategy: they must reflect real customers and clarify their behavior, motivations, and challenges.

AI-Business

[AI-Driven New Business Creation] How Qualiteg Draws Implications from Hypothesis-Exploration Interview Results

Many clients neglect analysis after hypothesis-exploration interviews. Turning the results into data, categorizing them by theme, and analyzing them in depth lets you extract patterns and insights and report concrete implications to the development team.