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MLOps for Healthcare: The Road to Responsible AI in Medicine

MLOps, Health / By /

Artificial Intelligence (AI) has embarked on a transformative journey in the healthcare industry, promising revolutionary improvements in diagnostics, patient care, and medical decision-making. However, as the potential of AI in healthcare continues to grow, so do the challenges associated with deploying these technologies responsibly and securely. This is where MLOps solutions for healthcare, a multidisciplinary …

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How AI Slashed Checkout Wait Times by 57.66%: The Case Study

Retail, Case Studies / By /

The platform helped to reduce cashier idle time by 57.66% when measuring against the baseline, equaling to more than 2.5 man hours per store per day. The software also prevented 237 queue forming incidents, saving an average of 2.25 hours in customer wait time per day. The experiment was conducted for two months at two store locations of one of the largest retailers in Central and Eastern Europe with 18 manned checkout counters at both trial locations.

PPE Detection

Computer Vision in Construction: 5 Applications to Create Workplace of the Future

Industrial, Management, Manufacturing / By /

Computer vision utilizes video or image data to ‘count the uncountable’. The software can analyze video footage from video surveillance cameras which are already present at most modern workplaces. It is simple to deploy, requires little to none additional hardware investment. The advances in machine learning make computer vision applications more accurate and dependable.

Why-MLOps-Is-Important-for-Your-Business

Why MLOps Is Important for Your Business?

Business, MLOps / By /

Imagine a world where your machine learning models seamlessly transition from development to deployment, delivering accurate results and driving innovation at scale. That’s the power of MLOps – the practice that combines ML and DevOps to ensure smooth operations of ML models in production. We, as businesses, understand the complexity and challenges of managing model …

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Automotive Seats AI Quality Control EasyODM Case Study

Automotive Seats AI Quality Control: EasyODM Case Study

Case Studies / By /

In the fiercely competitive automotive manufacturing industry, delivering top-quality automotive seats is critical for gaining a competitive edge. However, detecting defects in car seat materials during production can be a daunting challenge. Manual inspection processes are slow, error-prone, and inefficient, leading to increased defects and hindering overall productivity and profitability. To address these challenges, EasyODM, …

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Machine Learning for Pre-surgical System Development Case Study EasyFlow and Orthobaltic

Machine Learning for Pre-surgical System Development: Ortho Baltic Case Study

Case Studies, Health / By /

Ortho Baltic, one of Europe’s largest orthopedic device manufacturers, sought to revolutionize the process of developing patient-specific implants. Traditionally, qualified engineers manually reconstructed personalized 3D anatomical models from Computer Tomography (CT) images, which involved extensive time and effort to clean the data from metal artifacts and mark anatomical features. To enhance efficiency and accuracy, Ortho …

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Improving Retail Checkouts with ScanWatch A Case Study

Enhancing Retail Checkouts: ScanWatch Case Study

Case Studies / By /

In this case study, we explore how AI-powered ScanWatch, in conjunction with advanced MLOps services provided by EasyFlow, revolutionized the retail industry by transforming checkout processes. Discover how leading retail chains harnessed the power of ScanWatch’s real-time visual inspections and automated product recognition to enhance efficiency, prevent losses, and elevate the overall customer experience at …

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Shoplifters Target Self-Checkout Registers Amid Soaring Inflation

Shoplifters Target Self-Checkout Registers Amid Soaring Inflation

Business, Customers, Finance, Retail / By /

The platform helped to reduce cashier idle time by 57.66% when measuring against the baseline, equaling to more than 2.5 man hours per store per day. The software also prevented 237 queue forming incidents, saving an average of 2.25 hours in customer wait time per day. The experiment was conducted for two months at two store locations of one of the largest retailers in Central and Eastern Europe with 18 manned checkout counters at both trial locations.

vertical-farming

Circadian rhythms: AI can reduce vertical farm energy consumption by up to 27%

Greentech, AI in Farming, Smart Farming, Vertical Farming / By /

The platform helped to reduce cashier idle time by 57.66% when measuring against the baseline, equaling to more than 2.5 man hours per store per day. The software also prevented 237 queue forming incidents, saving an average of 2.25 hours in customer wait time per day. The experiment was conducted for two months at two store locations of one of the largest retailers in Central and Eastern Europe with 18 manned checkout counters at both trial locations.

Clean Up Your Marketplace: How AI Content Moderation Helps To Deliver Excellent Shopping Experience

Clean Up Your Marketplace: How AI Content Moderation Helps To Deliver Excellent Shopping Experience

Management, Retail / By /

The platform helped to reduce cashier idle time by 57.66% when measuring against the baseline, equaling to more than 2.5 man hours per store per day. The software also prevented 237 queue forming incidents, saving an average of 2.25 hours in customer wait time per day. The experiment was conducted for two months at two store locations of one of the largest retailers in Central and Eastern Europe with 18 manned checkout counters at both trial locations.

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