Why an AI Designer is needed in ChatGPT projects?

Karthik Sindhya

Published 27 Apr 2023

Reading time 3 min

AI Designer works with clients to understand their business goals and objectives, and then uses their expertise to identify the most valuable business problems to solve using AI technologies such as large language models.

Generative AI has become a buzzword in the recent past. Many organisations are exploring and planning to invest in such novel AI technologies to improve their business operations and gain a competitive advantage. However, the journey is not always easy as there exists a range of uncertainty surrounding this technology landscape. This is where an AI Designer comes into play.

An AI Designer is a professional who helps businesses identify the most valuable business problems to solve using AI technologies. They use design thinking methods, human insight, and AI and analytics technologies to create solutions that generate business and end-user value. They also help clients develop a roadmap, an implementation plan and work with the client’s team to design solutions that are tailored to the specific needs of the business.

Additionally, AI Designers also help businesses navigate the complex landscape of AI technologies. They educate senior management on AI and analytics and help them understand how these technologies can be used to improve their business operations. Most important of all they also help businesses follow governance frameworks to ensure that their AI solutions are ethically and legally compliant. Such governance frameworks are even more essential when large language models enter into widespread use within and outside organisations.

Why AI Designer is the most important person companies want to talk before diving into PoC and adoption of generative AI solutions?

Businesses that want to adopt AI solutions need to talk to an AI Designer before diving into proof-of-concept (PoC) and adoption of generative AI solutions. Here’s why:

  1. Identify the most valuable business problems to solve: This ensures that businesses are investing in solutions that generate business and end-user value.
  2. Develop an AI roadmap: This ensures that businesses are investing in AI technologies that are aligned with their business goals and objectives.
  3. Navigate the complex landscape of AI technologies: Businesses can rest assured that the right data platforms and architectures to support their AI initiatives are used.
  4. Develop governance frameworks: This is important to avoid reputational damage and regulatory penalties.
  5. Tailored solutions: This ensures that businesses are investing in solutions that are relevant and effective.

In conclusion, while technical expertise is important in implementing LLM models, it’s essential to involve an AI Designer early on in the development who can provide a broader perspective and ensure that solutions align with the business needs and ethical considerations. An AI Designer shall work alongside a technical lead/professional to ensure that the project resonates with end-user aspirations, and a sustainable AI expert to ensure that the implementation of LLM models aligns with the company’s values and sustainability goals.

At Solita, our team of specialists involving AI Designers, Strategists, Data Scientists, and ML Engineers with diverse skill sets work together to help businesses navigate the implementation of novel AI technologies such as generative AI models and ensure the solutions are both technically sound and ethically sustainable.

By working with our team, businesses can confidently leverage AI technology to drive both innovation and growth. Contact us to find out Solita’s complete offering in Generative AI.

  1. Business
  2. Data
  3. Design