Slate Technologies introduced the latest version of Slate Decision Assistant. This generative AI tool is intended to support decision-making and data analytics within the construction industry. This update integrates Generative AI and Predictive AI technology and introduces a proprietary Large Language Model that is specific to the Construction Industry.
Slate’s software allows users to collect and interpret data across multiple platforms. Construction professionals can access data and derive insights from it. They can also make recommendations. The system also has features to visualize potential challenges, consider predictive results, as well as establish workflows.
Slate CEO Trevor Schick said that the Slate Decision Assistant is different because it’s not restricted to software or a platform. It goes beyond a search engine or chatGPT implementation by working across media.
Clients have used Slate to manage projects, adjust workflows, and explore process changes. Initial feedback suggests that Slate can improve productivity, save time on routine tasks, increase estimation efficiency, and enhance project management.
The Slate Decision Assistant includes:
- Cross-Platform Intelligence: This interface collects and analyses data from different software platforms.
- Contextual data analysis: An AI assistant contextualizes the data and provides insights that could affect project timelines or budgets.
- Construction-Specific Large Language Model: A proprietary Language Model designed for the construction industry.
- Data Visualizations: Data Representation to Facilitate Decision Making.
- AI Recommender System: This assistant adapts to the user’s engagement and project results, giving contextual advice.
“With 96%* data being unused, construction leaves a lot of value on the table,” said Senthil Kumru, Chief Technology Officer at Slate. The proliferation of Contech platforms is not helping to solve the productivity issue. Slate Decision Assistant allows teams to unlock siloed information and work more efficiently. This will increase productivity and profitability and create better outcomes.
Thomas proposes the creation of companies that hire individuals who are skilled at operating construction robots. These companies could offer their services as robots are used to complete tasks efficiently. Facade companies are solely focused on the assembly of facades. Similarly , robotics companies that specialize in specific construction tasks could be set up with a workforce well-trained to use robots.
Discussions also highlight the importance of re-evaluating education and vocational training. The curriculums of universities must be adapted to include the skills needed to operate construction robots. The vocational training programs must also be updated in order to provide workers with the knowledge and skills required for robotics. These changes are necessary to prepare the workforce for the increasing role of robotics within the construction industry.