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Slate Technologies has launched an electronic assistant for the construction industry. Slate uses AI and machine learning to improve the productivity of construction professionals by enabling better, earlier decision making to keep building projects on time, maximizing revenue. Among the company’s early development collaborators include multinational construction leader Skanska.
“We’re very grateful for Slate in assisting Skanska navigate the valuable unstructured data that doesn’t sit in a single place and doesn’t sit down in a superbly crafted data lake or data warehouse,” stated Andrew MacAskill, Operational efficiency Director at Skanska UK. “It’s been this type of fruitful partnership for all of us, and we genuinely believe Slate is actually a game changing chance of the complete industry and we wished to participate its development and become in it from the start.”
Globally, per year over the past 2 decades construction sector labor-productivity growth averaged 1 percent, weighed against 2.8 percent for the full total world economy and 3.6 percent for manufacturing, in accordance with McKinsey. By integrating and analyzing data from any location almost, Slate’s proprietary dynamic scheduling capabilities ensure change decisions can update a standard schedule immediately, and the order of individuals’ tasks. This boosts efficiency dramatically, improving every step of the building process. Through its integrations with subcontractors and material suppliers’ software and systems, Slate’s data insights are valuable to the executive suite, in addition to anybody executing tasks on a project.
“Slate is the catalyst for a significant shift in how we deliver buildings, where software works hand-in-hand with humans to transform profitability and productivity,” said Jeff Bettencourt, CEO of Slate. “In construction, on your day its master schedule is established a building project is on schedule. Slate offers the first-time ability for construction companies to see what is happening with all aspects of a project – including materials, workers, and weather – to perceive problems to allow them to make changes across the real way, minimizing costs and waste while maximizing productivity and revenue.”