SESTEK
Dilara Topaç Altıntaş is an experienced Application Support Specialist at SESTEK since May 2022. Previous experience includes a role as a Project Management Intern at GAMA Holding A.Ş. from September 2018 to January 2019, and as a Human Resources Intern at Migros Ticaret A.Ş. in June 2016. Dilara holds a Bachelor's degree in Business Information Management from Bilkent University, completed in 2019, and has also completed a program at Haaga-Helia University of Applied Sciences in 2017. Education was completed at Özel Büyük Kolej, graduating with a High School Diploma in 2013.
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SESTEK
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Sestek is a conversational automation company working on AI-powered solutions for customer service since 2000. Our R&D team of 100+ engineers develops conversational products built on technologies such as speech recognition (SR), natural language processing (NLP), and voice biometrics. We help digitize customer service operations of 400+ enterprise clients in 20 different countries around the globe. Sestek was acquired by Unifonic, one of the leading Communications Platform as a Service (CPaaS) providers, in 2022. OUR PRODUCTS Knovvu Virtual Agent With 100% in-house developed Speech Recognition (SR) and Natural Language Understanding (NLU) technologies, Knovvu Virtual Agent understands customer intent and responds without the need for live agents. Our market-leading speech recognition accuracy rate enables Knovvu Virtual Agent to effectively automate simple tasks, help increase self-service and decrease costs for customer service operations. Knovvu Analytics Knovvu Analytics collect 100% of customer interaction data at customer service channels and convert it into meaningful information for decision-makers. The solution provides critical insights to understand customers better and help to improve their experiences. Equipped with advanced quality management tools, Knovvu Analytics enable supervisors to objectively score and maximize agent performance with tangible feedback Knovvu Biometrics Monitoring more than 100 unique parameters of the voice, Knovvu Biometrics can authorize callers within seconds. Being a language, accent, or content independent, it provides a seamless experience in real-time.