Cutting data storage costs for a government organization by 30 percent

Emerson wanted to provide a connected environmental analyzer to their customers. They wanted to leverage IoT technologies to provide a software solution that was easy to use, real-time and centralized. Compliance with pollution control board guidelines and the ability to remotely calibrate and troubleshoot these devices was the primary objective. Requirements - Centralized Remote Monitoring. - IoT Based Smart Environmental Analyzers. - Remote Calibration and Troubleshooting. - User Friendly Application. - Reporting & Dashboards. - Compliance with pollution control board guidelines.

Pharmaceutical production is subject to a strict set of enforced rules that must be adhered to and compliance to these standards is critically necessary. Due to the efforts of WIN 911’s strategic partner Micromedia, Lilly was able to adopt an alarm notification infrastructure that integrated smoothly with their existing workflows and emergency hardware and protocols. These raw energy sources enable the industrial process to function: electricity, WIN-911 Software | 4020 South Industrial Drive, Suite 120 | Austin, TX 78744 USA industrial steam, iced water, air mixtures of varying quality. Refrigeration towers, boilers and wastewater are monitored by ALERT. Eli Lilly identified 15000 potential variables, but limitations compelled them to chisel the variable list down to 300. This allowed all major alarms to be covered including pressure, discharge, quantity of waste water discharged,temperature, carbon dioxide content, oxygen & sulphur content, and the water’s pH.

Technology to support vessels in the commercial fishing industry had not changed significantly since the advent of radar. Over the past 40 years commercial fishing in the United States has continued to be one of the most active, yet regulated industries. The combination of federal regulations and lack of technology created an opportunity for Faria Watchdog to go-to-market with a solution.

The Home Depot, the world's largest home improvement retailer, was facing a significant challenge in enhancing the performance and scalability of its IT infrastructure while reducing the total cost of ownership (TCO). The company's traditional approach of upgrading to faster servers and more efficient storage was no longer sufficient. The Home Depot needed a more innovative solution to reduce TCO and improve operational efficiency for its vast retail store and e-commerce business. The company was also looking for a way to consolidate its server, storage, and virtualization teams into a single operations group to optimize and manage the entire infrastructure stack from a single console. The challenge was to find a solution that would allow them to achieve these goals while also enabling them to quickly deploy new applications to internal users and customers.

Smasoft Technology Co., Ltd., a System Integrator that develops industrial automation software and offers AI application solutions, was commissioned by a semiconductor equipment manufacturer to implement AI inspection features into their Extreme Ultraviolet Light (EUV) pod inspection machines. The existing AOI software in the EUV pod inspection machines could only identify defective products but could not trace the cause of the defects. The manufacturer wanted to upgrade their machines with AI features to make the products more useful. The AI solution needed to complete the analysis of 380 images for a single pod within two minutes and inspect different materials simultaneously. This required multiple sets of AI models for interpretation. The solution also needed to be installed in a cabinet in the lower half of the machines, which posed a challenge due to the limited space. Smasoft needed to purchase a hardware solution with strong computing performance, stable operation, compact size, and flexible configuration to overcome these challenges.

EE, even after its merger with BT, was operating its ERP estate on legacy infrastructure, hosted on the premises of a third-party supplier. This outdated system resulted in a volume-based operational model, higher time to market, longer delivery cycles, and unsatisfactory customer experience. BT recognized the need for a strategic transformation of these aging ERP systems and sought a partner who could proactively manage application services. The partner was also expected to handle development requirements associated with application management services, drive accountability, and ownership with a time and target-driven transformation of these services. BT's primary goals were to improve customer experience, reduce cycle time, and measure these improvements with precision.