Ender Turing Rindrambaiko Fandalinana ny Fifandraisana amin'ny Mpanjifa nataon'i Lidiia Suslova

Ny endrika Ender Turing Rindrambaiko Fandalinana ny Fifandraisana amin'ny Mpanjifa nataon'i Lidiia Suslova dia mpandresy sarobidy amin'ny 2026 A' Design Award Vy amin'ny Sokajin'ny Fifanintsanana Famolavolana Rindrambaiko.

VyRindrambaiko· 2026

Ender Turing Rindrambaiko Fandalinana ny Fifandraisana amin'ny Mpanjifa

nataon'i Lidiia Suslova

Mpanjifa: Ender Turing

Mpandresy A' Design Award Vy amin'ny Sokajy Rindrambaiko

6,731

Mpandresy Loka Voamarina

Hanamarina ny Sata Loka ho an'ny #157760

Tsidiho ny Tranonkala Jereo ao amin'ny A' Design Award Fanambarana ho an'ny Mpanao Gazety Marika Loka

Loko

Ny Endrika

Momba ny Ender Turing Rindrambaiko Fandalinana ny Fifandraisana amin'ny Mpanjifa

Ny Ender Turing dia sehatra rindrambaiko mifototra amin'ny rahona natao handalinana ny resaka amin'ny serivisy mpanjifa. Ny antso an-telefaonina sy ny resaka an-tsoratra dia omena isa ho azy amin'ny alalan'ny faharanitan-tsaina artifisialy, izay manafohy ny fombafomba fanaraha-maso ny kalitao. Ny fanodinana ny fiteny voajanahary dia manohana ny fanasokajiana lahatsoratra, ny fandalinana ny fihetseham-po, ny famantarana ireo singa voatonona, ny fandikan-teny ary ny famintinana. Azo amboarina amin'ny alalan'ny sehatra fisintonana sy fametrahana (drag and drop) ny modely manokana, ary azo ampidirina amin'ny rindranasa hafa ny modely efa nampiofanina mialoha. Ny sivana mora ovaina, ny takelaka fanisana namboarina manokana ary ny fampisehoana angona an-tsary dia manampy ny mpanara-maso hanara-maso ny fifandraisana.

Ny Fankasitrahana

Momba ny A' Design Award Vy

Nandresy ny A' Design Award Vy ny famolavolana Ender Turing Rindrambaiko Fandalinana ny Fifandraisana amin'ny Mpanjifa, fankasitrahana malaza omena ny famolavolana tsara izay mahafeno ny fepetra ara-barotra sy ara-indostria andrasana amin'ny famoronana natao tsara. Ny mpandresy Vy dia mampiseho fahaiza-manao lehibe, fahaizana manokana ambony, fahatakarana manam-pahaizana ary fahaizana mamorona an'ireo mpamorona azy. Andrasana ho famoronana ankasitrahana be, ankafizina ary tiana izay azo ampiharina sady vaovao ny famolavolana Ender Turing Rindrambaiko Fandalinana ny Fifandraisana amin'ny Mpanjifa. Ity famolavolana nandresy ny A' Design Award Vy ity dia mampiray ny fomba fanao tsara indrindra amin'ny indostria ary manana toetra ara-teknika mahomby mifandray amin'ny fahalalana sy ny talenta. Ny famolavolana Ender Turing Rindrambaiko Fandalinana ny Fifandraisana amin'ny Mpanjifa dia hajaina noho ny fitandremany ary natao hanome fanatsarana ny kalitaon'ny fiainana izay manampy hahatonga ny tontolo ho toerana tsara kokoa.

Ao Ambadiky ny Endrika

Fitaovana ho an'ny Mpanao Gazety

Fankasitrahana, mpikambana ao amin'ny ekipa ary antsipiriany teknika nomen'ny mpanao endrika.

Toetra Manokana: Ender Turing offers unique customer experience solutions, enhancing revenue and loyalty. Real-time analytics on employee-customer interactions empower informed decision-making.

Our AI platform automates QA routines, uncovers business insights, and boosts agent performance through continuous coaching.
Refy & Fonosana: The core purpose of the Ender Turing engine is to facilitate users in crafting and refining AI models capable of comprehending and generating human-like language. This platform offers a comprehensive suite of Natural Language Processing (NLP) capabilities, encompassing tasks such as text classification, sentiment analysis, entity recognition, language translation, and text summarization, among others. Users have the flexibility to construct tailored models through Ender Turing's intuitive drag-and-drop interface, or seamlessly integrate pre-trained models into their applications via the platform's API.
Marika: Artificial intelligence, AI, Natural language processing, NLP, Machine learning, ML, Text classification, Sentiment analysis, Data processing, Text summarization, API, Cloud-based platform, Language modeling, Text mining, Call center, Analysis, Scoring
Teknolojia Famokarana: Utilizing a data-driven design methodology, we collected feedback by directly observing and interviewing our product's customers. Our decisions were guided by the identification of user pain points and areas of frustration. The outcome is a product solution that effectively addresses the concerns of business. Leveraging insights gained, our solution drives revenue growth by enabling informed decision-making and strategic planning, enhancing business productivity, reducing stress, and offering an intuitive user experience. Moreover, our interface supports over 10 languages, ensuring accessibility and usability across diverse user bases.
Fanamby Endrika: Experiments were conducted to assess hypotheses and validate design decisions. Our findings revealed that our user base consists largely of non-technical individuals who favor a more prominent communication style. Consequently, we refrain from employing complex logic constructions and cumbersome interface designs. Instead, our UX solutions undergo continual refinement to ensure simplicity and ease of use.
Fikarohana: Engaging with end users, including data center supervisors and stakeholders, we collected data via interviews, surveys, observations, and competitive analysis. Our key finding is the potential of call center data analysis to boost revenue through invaluable insights for informed decision-making. This approach unveils user and business needs, guiding tailored solutions.
Aingam-panahy: Market Demand: Recognizing the growing need for effective CX solutions in various industries.

Efficiency: Seeking ways to streamline processes within contact centers, QA automation, real-time analysis and revelation business insights.

Customer Satisfaction: Understanding the importance of delivering exceptional customer service to foster loyalty and drive revenue growth.

AI Technology: Leveraging advancements in AI and ML to develop innovative solutions that can adapt and evolve over time.
Faharetan'ny Tetikasa: The project commenced its journey in June 2020 in Tallinn, Estonia. Design efforts for the project began in January 2022 and are currently ongoing, with continuous development and enhancement. Notably, the product achieved recognition as the winner at the Latitude59 pitching competition in May 2022, held in Tallinn, Estonia. Additionally, it secured the 2nd place position at the Infoshare Startup Contest in October 2022, hosted in Gdansk, Poland, amidst stiff competition from 500 startups worldwide. Moreover, our team achieved the distinction of Best Seed startup at the Valencia Digital Summit conference in October 2023!
Fizotr'asa: Our solution offers a 20-fold speed increase in scoring calls and chats, powered by automated AI pre-scoring and quality assurance. It also extracts valuable business insights, allowing users to efficiently monitor interactions with flexible filters. With seamless scorecard customization and robust data visualization tools, informed decision-making is empowered. These capabilities optimize operations and enhance customer experiences, contributing to revenue growth.
Patanta: Scientific publications: 1. Transferability Evaluation of Speech Emotion Recognition Between Different Languages January 2022 DOI:10.1007/978-3-031-04812-8_35 In book: Advances in Computer Science for Engineering and Education (pp.413-426) Ievgen Iosifov Olena Iosifova Oleh Romanovskyi Vladimir Sokolov 2. Automated Pipeline for Training Dataset Creation from Unlabeled Audios for Automatic Speech Recognition July 2021 DOI:10.1007/978-3-030-80472-5_3 In book: Advances in Computer Science for Engineering and Education IV (pp.25-36) Oleh Romanovskyi Ievgen Iosifov Olena Iosifova Vladimir Sokolov 3. Analysis of Automatic Speech Recognition Methods January 2021 Conference: Cybersecurity Providing in Information and Telecommunication SystemsAt: Kyiv, Ukraine Olena Iosifova Ievgen Iosifov Vladimir Sokolov Oleh Romanovskyi Igor Sukaylo 4. Sentence Segmentation from Unformatted Text using Language Modeling and Sequence Labeling Approaches October 2020 DOI:10.1109/PICST51311.2020.9468084 Conference: 2020 IEEE International Conference on Problems of Infocommunications. Science and Technology (PIC S&T) Ievgen Iosifov Olena Iosifova Vladimir Sokolov 5. Methods and components of natural language processing August 2020 Adaptive automatic control systems 1(36):93-113 DOI:10.20535/1560-8956.36.2020.209780 Olena Iosifova Ievgen Iosifov Oleksandr Rolik 6. Techniques Comparison for Natural Language Processing June 2020 DOI:10.5281/zenodo.3895814 Conference: 2nd International Workshop on Modern Machine Learning Technologies and Data ScienceAt: Lviv-Shatsk, Ukraine Olena Iosifova Ievgen Iosifov Oleksandr Rolik Vladimir Sokolov
Loharanon-tsary: Lidiia Suslova