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Designed for data scientists and domain users to rapidly build predictive machine learning models, Profet AI’s breakthrough no-code technologies simplify the traditional time-consuming model building process while accelerating the speed of AI adoption by tenfold. With over 40 built-in machine learning algorithms that are widely acknowledged in the industry, a domain-specific user can use the default, fully automated model training mode to build a prediction model, while the advanced user can configure and tune the algorithm to find the most suitable prediction model. These models can even be exported and integrated with the edge computing environment in order to achieve real-time prediction requirements. Profet AI also offers a one-click trial model download, which can be deployed on any edge computer, allowing customers to easily use the completed model.
What’s more, the company provides different model building strategies for different users. When it comes to the manufacturing industry, where there is a significant demand for finding the best solution—be it machine parameter adjustment, process parameter optimization, or formula design, Profet AI’s optimization function can help users use the predictive model generated by machine learning to set the desired target. Users also get to explore various business insights from historical data and set the target value of X to search for the combination of conditions that satisfy the value of X in the data.
Moreover, as market changes become faster, the speed and quality of decisions become extremely critical in manufacturing. Traditional reporting and dashboard solutions aren’t able to keep up with the breakneck pace of market changes. Therefore, IoT, visual dashboards, and BI solution providers are co-working with Profet AI to provide their customers with prediction and root cause analysis capabilities.
Designed For Data Scientists And Domain Users To Rapidly Build Predictive Machine Learning Models, Profet Ai’s Breakthrough No-Code Technologies Simplify The Traditional Time-Consuming Model Building Process While Accelerating The Speed Of Ai Adoption By Tenfold
Besides, with automation technologies garnering the much-deserved hype and attention after organizations worldwide have been convinced of its tremendous possibilities, companies are thinking of how to redefine their business operations. In this case RPA’s capabilities of system integration, OCR image capture, and external data collection fits perfectly for companies to simplify their business processes and improve process efficiency. More importantly, RPA accelerates the integration of different data sources, which is the very foundation of all AI and machine learning applications. And this is exactly why global RPA vendors and service providers are looking to integrate their RPA solutions with Profet AI in order to assist customers in implementing a complete digital transformation plan and achieving maximum efficiency.
If Profet AI’s solutions are so widely accepted across different industries, there must undoubtedly be scores of success stories that the company has added to its portfolio. For instance, AUO Digitech, a leading provider of digital transformation services, has partnered with Profet AI to launch the Citizen AI strategy that is meant to accelerate organization-wide AI adoption. They also co-created products and solutions with Profet AI to strengthen and offer smart manufacturing capabilities throughout the manufacturing industry. In a similar fashion, KINIK—a leading producer of abrasives and cutting tools—partnered with Profet AI to digitalize the knowledge and experience of their master craftsmen across their production lines and saw the immediate effect in the form of great results within a week into the partnership. Last but not least, one should not forget that one of the world’s leading IPC vendor, NEXCOM, has also collaborated with Profet AI to release a leading-edge AI solution for the reflow process without reconstructing the equipment. It is designed to enhance and improve the efficiency for the customer.
For an organization established by a group of experts who worked for international software companies and EHT manufacturing companies, the company is always ready to lean on innovation to move forward. Familiar with operation systems across R&D to manufacturing, IoT, machine learning, and cloud-native technologies, the company is eager to continue building high-value-added automated machine learning solutions that will solve business and factory management problems and help customers give rise to digital and intelligent factories in the days to come.
