Doruk, Turkey Fortune 500 Aanay Told the Future of the Digital Summit

Doruk, Turkey Fortune 500 Aanay Told the Future of the Digital Summit
Doruk, Turkey Fortune 500 Aanay Told the Future of the Digital Summit

Which performs more than 300 factories digital transformation worldwide Doruk Board Member Aylin Tulay Ozden, Fortune 500 Turkey under the Digital Summit "Big Data and Artificial Intelligence, Digitalization and New Technologies" panel spoke of. At the panel where the change of artificial intelligence, how companies will benefit from artificial intelligence, and the possible effects of 5G networks on artificial intelligence, robotics and IoT devices in the near future, Özden shared with the participants the effects of digitalization in the industry and its contributions to the digital transformation process as a company.


"Actions 2020: A New Decade again to explore" the main theme performed digitally Turkey Fortune 500 Digital Summit; to improve the environment and shaping tomorrow's digital transformation strategy, Turkey's most influential CEOs, CFOs and CIOs brought together an ensemble. The first R & D technologies that perform work for the company in digitization in Turkey's industrial Doruk Board Member Aylin Tulay Ozden, moderated the context of the summit Artificial Intelligence and Technology Association President Esen Crete Tümer his "Big Data and Artificial Intelligence, Digitalization and New Technologies ”Joined the panel.

Aylin Tülay Özden, explaining Doruk's digital transformation of more than 300 factories around the world with its IIoT, machine learning, augmented reality, artificial intelligence and image processing technology, and the solutions they offer to the industry, shared the following information with the participants: “A 22-year-old technology company Ş., we designed one of the first IoT-based devices in the world in 1998, as a project supported by TÜBİTAK TEYDEB (then known as TİDEB), and commercialized it and used it in the industry. With this product, which has been published in the literature, we have taken some data from production and turned it into big data. In the following years, we continued to develop the product and obtained its internationally protected patent. Using this device, we commercialized one of the first automatic production planning (data analytics) software in the world in 1999 by completing it as a TÜBİTAK TEYDEB project. With this product, we developed production planning software with data collected from production. Currently, with our R&D team of 100 people, we carry out Production Operations Management (MOM-Manufacturing Operations Management) and Manufacturing Execution Systems (MES) in accordance with the requirements of the era. We have been supporting the transformation of businesses from reactive to proactive for 22 years. Today, with the development of artificial intelligence, we are now working to transform businesses from proactive to predictive enterprises. Industrialists need to strategically aim for operational excellence to be prepared for global competition. At this point, collecting and processing big data in the critical digitalization process provides high efficiency. We as Doruk; We are working to carry large-scale industrialists to the future with solutions such as increasing the productivity of machinery and equipment, increasing the rate of quality product production, complementing employees' lack of knowledge with artificial intelligence systems and reducing product delivery times, and with our cloud-based products.

With digitalization, efficiency increases from 40 percent to 70 percent

Aylin Tülay Özden, who answered the question about the return periods of investments and costs with an industrial perspective, said, “With the digitalization of operations, especially in an industrial enterprise that makes production, waiting times, machine downtime, malfunctions, quality defects or costs arising from raw materials are decreasing. At this point, it is useful to draw attention to the predictability of quality. Process parameters such as humidity, temperature, pressure and speed in the manufacturing machines are collected and it is recorded how the changes in these areas affect the production and quality. When we process big data with artificial intelligence, process parameters are followed, so there is no need for continuous quality control. A deterioration in values ​​can predict potentially a decrease in quality and inform the business. When you have this system, quality, measurement, downtime, stopping and re-adjustment costs and time loss are reduced. Again, with image processing technology, product and production quality can be monitored instantly. The average productivity of factories around the world is around 40 percent. When manufacturers invest in digital operations, this rate can rise up to 70 percent in a few months, we see businesses whose production has doubled. "We are delighted to see that the return on investments started to be received in at least six months and to contribute to the industrialists."


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