In early February 2018 it was our great pleasure to welcome partners from all around the world for a four day training event on our updated Omilia speech technology development tools. The event was a resounding success which would not have been possible without the participation of our fantastic partners including DisruptCX, Nice inContact, Nuecho, Speech Soft, KCell, Nova IT, EvoTech, CTI and Grupo GBI. Thank you everyone for making it such a great time in Athens. Below is the official program of the training seminars along with a highlight video, more videos coming soon!
Below is the published schedule for the 2018 Omilia training seminars including details on the main training courses delivered and the instructors. Every course was informative for all with a lot of insights coming out during the QA sessions. Special mention must go to Mr. Nikos Kolivas who was responsible for the Dev sessions introducing the new Omilia Conversation Studio Tool. The Conversation Studio allows non programmers to easily design, test and deploy custom dictionaries, context rules and intents in minutes. Contact us for a demonstration!
360° Omilia Delivery Overview
Description: Participants will be introduced to the typical architecture of a natural language dialogue system. They will learn about the key components (VB, ASR, NLU, DM, NLG, TTS, IVR) of an NLU solution and the connections among them. In addition, they will familiarize themselves with the system’s life-cycle, starting from the requirements and design phase to the final fine tuning stage, focusing on tools, methodology, deliverables and testing traits that are particular to an NLU application. Finally, they will use Omilia’s Dialog Review Tool to get a thorough understanding of each component’s contribution to the dialog based on real-life examples. At the end of the course they will be able to identify the different error types and sources in dialog and recommend next steps for resolution.
Application Development Training
Assistant: George Psallidas
Description: The students will be introduced to the basic elements of DiaManT®’s language for building effective and usable applications. They will learn how to define their application in terms of targets, system actions, fields and preconditions. They will familiarise themselves with key DiaManT® functionalities such as planning, event tracking, ambiguity resolution, reaction definition and prompt generation among others.
Skills Required: The students should have analytical skills and be native speakers. There is no requirement for Programming Skills in any programming language, however familiarity with IVR applications is an advantage.
Assistant: George Psallidas
Description: Students will gain hands-on experience in creating their own conversational application. They will develop several Dialog Manager call flows, working on a demo application, in order to serve simple & complex customer requests as well as complete Self Service flows, thus familiarizing themselves with the notions of dialog targets, fields, actions, and intents among others.
Skills Required: Should have analytical skills and be native speakers. There is no requirement for Programming Skills in any programming language, however, familiarity with IVR applications is an advantage. Students should have already attended appdev_101.
NLU Development Training
Assistant: Sofia Kasviki
Description: Students will be introduced to the basic components of Omilia’s interpretation module and understand how it fits to the overall architecture of the dialog system. They will learn the process of analyzing and mapping out the interpretation domain. They will be introduced to the basic concepts of annotations, features and types, as well as the knowledge representation schemas for identifying user intent.
Skills Required: Both analytical and synthetical skills, experience with development of semantic rules is an advantage.
Assistant: Sofia Kasviki
Description: Students will gain hands-on experience on building an NLU Engine on Omilia’s Conversation Studio. They will develop dictionaries, entities, context rules & intents which will be tested on the spot with the tool’s Dialog Simulator or in a demo application provided (or one that they have already build from the appdev_102).
Skills Required: Both analytical and synthetical skills, experience with development of semantic rules is an advantage. Students should have already attended nlu_101.
ASR Tuning and Optimization Training
Assistant: Sofia Kasviki
Description: The students will learn the basic components of an ASR system (VAD model, acoustic models, language models, ASR system architecture, pronunciation lexicons). They will be introduced to the key concepts of statistical language modeling and grammar development and learn about important parameters that affect recognition accuracy. They will familiarize themselves with different speech grammar approaches and how to address complex recognition tasks. They will be introduced to industry standard KPIs for measuring recognition accuracy and how to use deepASR® engine’s tuning tools.
Skills Required: Familiarity with Unix environments and experience using command line tools. Basic knowledge of language modeling for speech recognition is an advantage.
Back-end and API Integration Training
Assistant: Dimitris Zabakolas
Description: The attendees will learn how DiaManT® can integrate with any backend system through Java, via the DiaManT® API. They will be able to build, compile and call their custom code through a DiaManT® NLU dialog application. DiaManT®’s NLG modules will provide the API users with the ability to synthesise complex natural language prompts. By the end of this course, they will be able to fully integrate their NLU applications with their own backend system, and take full advantage of DiaManT®’s capabilities.
Skills Required: Good Java programming and development skills and basic knowledge on DiaManT®applications development. Students should have already attended appdev_101.
Assistant: Dimitris Zabakolas
Description: The attendees will go deeper on the DiaManT® API and see how they can extend DiaManT®with it. They will learn to create their own custom validation methods and custom field relations and apply them in a DiaManT® NLU dialog application. They will also learn to extend DiaManT® with custom NLG modules, which can be used to dynamically generate complicated application specific prompts.
Skills Required: Good Java programming and development skills and good knowledge on DiaManT®applications development. Students should have already attended appdev_102 and api_101.
System Administration Training
Assistant: Vladimiros Tsamouridis
Description : The attendees will learn how to configure a CentOS/Redhat host to house the Omilia NLU platform; create the DB schema; configure logging for all applications; install and configure Omilia’s DiaManT® Platform; install and configure Omilia’s ASR Engine; Integrate with IVR; configure Omilia’s System Monitoring solution; configure backups; configure high availability and load-balancing; perform end-to-end testing; establish a troubleshooting methodology for Level 1 Support.
Skills Required: Knowledge of Unix System Administration and Data/Voice Networking, familiarity with Database Administration and SQL.
Sales Training
Description : Participants will learn about the principal building blocks of NLU technologies and what makes Omilia’s technology so different from other vendors in the market. Students will also be trained technically to understand the basic logic behind building NLU applications, so as to better educate customers on the delivery process. Students will be equipped with user credentials to Omilia’s suite of Demo Applications, and trained on the proper delivery methods of such demos to prospects, so as to best display the differentiating features of conversational experiences. Full NLU Sales Certification shall be awarded to trainee only after an Omilia representative has attended 2-3 real customer facing meetings together with the rep so as to ensure a deep understanding of Omilia sales methodology.
Skills Required: The sales personnel should have extensive experience selling IVR or speech softwares, with 5-10 years of B2B Enterprise sales. The students should have analytical skills and be native speakers.