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Engineering Tech
Peacock Engineering Ltd | February 10, 2023
On February 9, 2023, Peacock Engineering Ltd, a leading Enterprise Asset Management provider, announced a new data management solution, MX+ Data Studio, to assist clients in streamlining their data management strategies, saving time, reducing costs, and improving data reporting accuracy and compliance. Digital transformation continues to be one of the most critical investment areas for British firms, with studies indicating that organizations and enterprises across all industrie...
Engineering Tech, Construction
Bowman Consulting | August 30, 2022
Bowman Consulting Group Ltd. (the “Company” or “Bowman”) (NASDAQ: BWMN), today announced the purchase of Anchor Consultants LLC (“Anchor”). Headquartered in Chadds Ford, Pennsylvania, Anchor specializes in the planning, inspection, design, environmental permitting, dredging engineering, and construction management of waterfront infrastructure along coastal and inland waterways throughout North America. Under the leadership of Ahmad Nadeem, PE, the company&rsqu...
KONE | August 06, 2021
KONE, a global leader in the elevator and escalator industry, today announced it has acquired the service and repair business of Ross Elevator Inc. in Eastlake, Ohio, including its operations throughout the greater Cleveland metropolitan area and stretching south to Akron. Ross Elevator was founded in 1969 and has built a strong reputation performing high quality service, modernization and repair work. This acquisition strengthens KONE's local operations and brings additional ...
Datanami | April 02, 2020
Artificial intelligence is becoming more ubiquitous and necessary these days. From preventing fraud, real-time anomaly detection to predicting customer churn, enterprise customers are finding new applications of machine learning every day. What lies under the hood of ML, how does this technology make predictions and which secret ingredient makes the AI magic work? In the data science community, the focus is typically on algorithm selection and model training, and indeed those are important, but ...
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