Using Google Gemini AI, companies will soon be able to build internal search engines — with no coding?

Google Gemini AI is a new technology that allows companies to create their own internal search engines without any coding. Gemini AI is a powerful and general AI model that can understand and generate text, images, video, audio, and code. It can also handle complex tasks that require reasoning, math, and logic.

With Gemini AI, companies can create custom search engines that can answer complex queries, analyze data, and provide insights. For example, a company can use Gemini AI to create a search engine that can answer questions such as “What are the sales trends for product X in region Y?” or “How can we optimize our inventory based on demand and supply?”.

Gemini AI is based on the latest research from Google DeepMind, the AI division of Google that is behind breakthroughs such as AlphaGo and AlphaFold. Gemini AI is the first model to outperform human experts on a wide range of benchmarks, such as reading comprehension, code generation, and infographic understanding.

Google is making Gemini AI available for developers and businesses through its AI Studio and Vertex AI platforms. AI Studio is a new tool that simplifies the process of building and deploying Gemini AI models. Vertex AI is a unified platform that offers end-to-end solutions for machine learning and AI.

Gemini AI is part of Google’s vision to make AI more helpful and accessible for everyone. Google CEO Sundar Pichai said that Gemini AI represents one of the biggest science and engineering efforts the company has undertaken, and that he is excited for the opportunities it will unlock for people and society.

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With over 30 years senior management experience across 3 continents, Australian-born David founded Sentia AI in 2018 with a mission to change the way people work at work.
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