IT Weekend Ukraine 2018 & Ukrainian IT Awards 2018

2018 Sep 08
16a Parkova Rd, Kyiv, Ukraine
Convention & Exhibition Centre PARKOVY
Register

About conference

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IT Weekend comes back to facilitate the discussions around the evolving trends and emerging technologies and their impact on a the future of the IT industry.

This year’s conference aims to highlight the latest innovations in the areas of Artificial Intelligence, Big Data and Data Science, Cloud technologies, Security and Blockchain industries with the world-class presenters and over 1000 participants in this unique event.

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6+

years

15+

speakers

1000+

attendees
Program

Program

Stream 1

Stream 2

Stream 1

Stream 2

08:00 09:00

Registration

09:00 09:15

Welcome speech from Chris Baker, CEO, SoftServe

Design with Ops in Mind

As organizations evolve on their cloud journey, Operations must be considered in the beginning. Design has everything to do with how well operated your environment is. Consider resource tagging to drive proper reporting, management and cost control. Leverage immutable infrastructure for provisioning and configuration. Increase stability and efficiency with automation. Minimize risks and greater visibility with Amazon Inspector and Trusted Advisor. These best practices and more will help you Design with Ops in mind and position your cloud initiatives to deliver value.

As organizations evolve on their cloud journey, Operations must be considered in the beginning. Design has everything to do with how well operated your environment is. Consider resource tagging to drive proper reporting, management and cost control. Leverage immutable infrastructure for provisioning and configuration. Increase stability and efficiency with automation. Minimize risks and greater visibility with Amazon Inspector and Trusted Advisor. These best practices and more will help you Design with Ops in mind and position your cloud initiatives to deliver value.

Diya Wynn

Senior Consultant, Operations Integration Americas Practice Lead at Amazon Web Services

Diya leads the Americas Practice of Operations Integration in Professional Services at AWS helping customers establish operations to be production ready in the cloud. With over 20 years experience and deep understanding of Operations, IT service management and delivery, she works with a global team to position customers to unlock value and experience the transformation they expect with AWS. In order to do so, Operations can’t be an afterthought. Organizations must design with Operations in mind. In addition to her work with enterprise customers and practice management, Diya is a champion in diversity and seeing technology be a driver for inclusion and equity. She supports and invests in programs that inspire, educate, and connect women and the under-represented to technology. Diya also jointly leads a diversity initiative in AWS Professional Services. more

Touching the invisible: the emerging field of mid-air haptics

Gesture based control interfaces are becoming ubiquitous in our daily lives. We use gestures to interact with our appliances, smartphones, electronic devices and, more recently, virtual and augmented environments. The availability of these solutions has been made possible by a new generation of camera tracking devices. One drawback of gesture based interfaces is their lack of physicality, feedback, and sense of agency. Recent developments in ultrasound technologies have bridged this gap and made it possible to combine gesture interfaces with haptic feedback. In this presentation, I will discuss how this is achieved, describe some of the research taking place in this space, and also the commercial applications that are on the horizon.

Gesture based control interfaces are becoming ubiquitous in our daily lives. We use gestures to interact with our appliances, smartphones, electronic devices and, more recently, virtual and augmented environments. The availability of these solutions has been made possible by a new generation of camera tracking devices. One drawback of gesture based interfaces is their lack of physicality, feedback, and sense of agency. Recent developments in ultrasound technologies have bridged this gap and made it possible to combine gesture interfaces with haptic feedback. In this presentation, I will discuss how this is achieved, describe some of the research taking place in this space, and also the commercial applications that are on the horizon.

Orestis Georgiou

Director of Research at Ultrahaptics

Orestis is researcher and an author of over 60 publications in the areas of Mathematics, Physics, Engineering, and Medicine. As Director of Research at Ultrahaptics, he leads all internal and external research activities of the company. This includes coordinating the Advanced Research Cluster team (aka the ARC), co-supervising 4 PhD students, and growing and supporting a scientific collaboration network of 50+ Universities and Research Labs around the world with the aim to expand, explore and enhance mid-air haptic technologies and their applications. more

Serverless For the Enterprise

In this talk we will learn about how serverless computing can reduce total cost of ownership and time to market for cloud organizations, as well as best practices and “gotchas” to consider when migrating applications.

In this talk we will learn about how serverless computing can reduce total cost of ownership and time to market for cloud organizations, as well as best practices and “gotchas” to consider when migrating applications.

Language ENG

Forrest Brazeal

Senior cloud architect at Trek10

Forrest is a senior cloud architect at Trek10, Inc, an AWS Advanced Consulting Partner that specializes in serverless solutions. Prior to joining Trek10, Forrest spent several years leading serverless and AWS projects at Infor. He understands the challenges faced by enterprises moving to the cloud and loves building solutions that provide maximum business value for minimal cost. Forrest hosts the “Think FaaS” serverless podcast at Trek10 and contributes to their open source efforts. Outside of his day job, he interviews the top names in cloud for his “Serverless Superheroes” series at A Cloud Guru and also creates the “FaaS and Furious” webcomic. He is heavily involved with ServerlessConf and regularly speaks at workshops and other events in the serverless community. Forrest holds a master’s degree in computer science from Georgia Tech and is an AWS Certified Solutions Architect — Professional. more

When the Stars align

Success of emerging technology is critically in-twined with the readiness of the market and innovative business models which challenge existing paradigms, and push the conceived rules to the limit. This is where market disrupt begin! This lecture will drill into emerging technologies such as BlockChain, The Internet of Things, Quantum Computing, to name a few and look at the importance of the business model and market readiness for success. And to illustrate true disruptors and market changes.

Success of emerging technology is critically in-twined with the readiness of the market and innovative business models which challenge existing paradigms, and push the conceived rules to the limit. This is where market disrupt begin! This lecture will drill into emerging technologies such as BlockChain, The Internet of Things, Quantum Computing, to name a few and look at the importance of the business model and market readiness for success. And to illustrate true disruptors and market changes.

Stephen R. Russo

WW Director for IBM Cognitive City Solutions

Currently Steve is the WW Director for IBM Cognitive City Solutions in IBM’s Watson IoT organization.  Steve has 30 years of experience designing, developing and deploying worldwide technology and City solutions.  In the past 5 years, he has led the creation and growth of IBMs City Solution, Command Control, Physical Security and Public Safety businesses working closely with international officials and public safety experts from around the globe.  Steve is focused on advanced research technology and emerging technologies in a variety of segments. He works very closely with clients on the implementation of technology to improve efficiency to better manage personnel and assets, and to proactively handle threats. He has worked closely with public and private sector on technologies to continuously optimize these solutions.  He has degrees in software and hardware engineering with experience in executive management, as well as industry experience, business and solution development, solution architecture, advanced technology implementation. Stephen as served on the IJIS board of directors.  He also serves on the advisory board for the School of Engineering University of Connecticut and on the Institute for Ethics in Technology of UC University, Lviv, Ukraine. He has also taught under-graduate and graduate classes on emerging technologies and business development worldwide.  Steve has lectured at numerous international conferences and universities. In addition, he holds leadership positions in multiple charitable organizations. more

Why Did Artificial Intelligence Fail in the FIFA World Cup 2018?

Artificial Intelligence (AI) has been a hype in various industries and businesses, however, there is a shallow understanding about it. There are two problems commonly found in today’s trained intelligent systems: 1) we train an intelligent agent when we should not; for example, predicting the results of the games with a high variance; 2) a trained agent may behave precisely according to the model, but not necessarily ethical. We discuss these challenges to warn the computer developers and data scientists to watch out for these issues, and inform them how to minimize or resolve these concerns to provide a reliable intelligent agent, that can be trusted by anyone.

Artificial Intelligence (AI) has been a hype in various industries and businesses, however, there is a shallow understanding about it. There are two problems commonly found in today’s trained intelligent systems: 1) we train an intelligent agent when we should not; for example, predicting the results of the games with a high variance; 2) a trained agent may behave precisely according to the model, but not necessarily ethical. We discuss these challenges to warn the computer developers and data scientists to watch out for these issues, and inform them how to minimize or resolve these concerns to provide a reliable intelligent agent, that can be trusted by anyone.

Kaveh Bakhtiyari

Data Scientist at University of Duisburg-Essen

Kaveh Bakhtiyari is currently doing two PhDs in Artificial Intelligence and Electrical Engineering at University of Duisburg-Essen (Germany) and the National University of Malaysia. His main research areas are Artificial Intelligence, Recommender Systems, Human-Computer Interactions and Affective Computing. He has published many research papers, and has spoken in dozens of international venues. He is a top writer in Artificial Intelligence on Medium, and has been awarded the prestigious DAAD doctoral scholarship in 2015 in Germany, Samsung Gear Challenge in 2014 in South Korea, UKM Research Fellowship in 2013 in Malaysia, and top researcher student in four sequential years during his bachelor education in Iran. He also founded MUSINGWAY Ltd. in 2005 as a high-tech intelligent service provider. more

Homomorphic Encryption

Let’s make internet private again! While Security demands absolute visibility, need for privacy negates it. With progressive regulations to protect user privacy (Such as GDPR), Security and Privacy need to find common ground and technology to settle in favor of end user’s protection. Cryptography has been through significant progress and advent of cheaper compute and storage have made it possible to keep the data encrypted as rest (in files, DBs) and while the data is in Motion (TLS). The only place where the data can easily be deciphered is during “Compute”. Homomorphic Cryptography addresses that problem and allows data to remain encrypted even while being processed. This is the technology of future that can bring Security and Privacy together.

Let’s make internet private again! While Security demands absolute visibility, need for privacy negates it. With progressive regulations to protect user privacy (Such as GDPR), Security and Privacy need to find common ground and technology to settle in favor of end user’s protection. Cryptography has been through significant progress and advent of cheaper compute and storage have made it possible to keep the data encrypted as rest (in files, DBs) and while the data is in Motion (TLS). The only place where the data can easily be deciphered is during “Compute”. Homomorphic Cryptography addresses that problem and allows data to remain encrypted even while being processed. This is the technology of future that can bring Security and Privacy together.

Bibhuti Kar

VP Engineering at Sophos

Bibhuti Kar, is an engineering leader, author and speaker, with global work experience in the fields of telecommunication, networking and cyber security. He has authored “Fables Inc.” that highlights leadership tenets through simple fables. He is a regular contributor to business and technical publications and known for conducting workshops with unique themes and story lines to drive strategy among leaders. Currently he serves as VP, Engineering, SOPHOS Technologies. more

Research to Industry: Deep Learning gray boxes & rabbit holes

Deep Learning is now at the core of many industrial applications. This, preceded by an inevitable hype, has sparked a trend advocating rigor, interpretability and reproducibility. How does one open the so-called black box and enable scientists, engineers and all those inbetween to work together and make products powered by Neural Networks a success? What specific steps can be taken from the very beginning?

Deep Learning is now at the core of many industrial applications. This, preceded by an inevitable hype, has sparked a trend advocating rigor, interpretability and reproducibility. How does one open the so-called black box and enable scientists, engineers and all those inbetween to work together and make products powered by Neural Networks a success? What specific steps can be taken from the very beginning?

Irina Vidal Migallón

Computer Vision & Machine Learning engineer at Siemens Mobility

Irina is a Computer Vision and Deep Learning engineer with a past in Electrical and Biomedical engineering. Seasoned in different industries. She has enabled machine vision products from medical imaging devices at INRIA (France) and surgical planning tools or Virtual and Augmented Reality systems in German start-ups. She is now part of the Computer Vision & AI team in Siemens Mobility. Even more than waking up Skynet, she’s interested in the limits of Natural Intelligence and its decisions over our data. more

VR/AR adoption has been slower than predicted, what will really drive it forward?

Much emphasis has been placed on when VR & AR will go mainstream whilst only really concentrating on the devices themselves. Immersive enterprise training solutions need acceleration in many conceptual areas simultaneously to drive growth and enable services to meet requirements, including cloud AR & VR, 5G, blockchain and more. Discussing unique insights and outcomes from the products Make Real has delivered over the past decade, find out lessons learned and how they are shaping product delivery towards scalable solutions built upon disruptive technologies, that will be commonplace within the next couple of years.

Much emphasis has been placed on when VR & AR will go mainstream whilst only really concentrating on the devices themselves. Immersive enterprise training solutions need acceleration in many conceptual areas simultaneously to drive growth and enable services to meet requirements, including cloud AR & VR, 5G, blockchain and more. Discussing unique insights and outcomes from the products Make Real has delivered over the past decade, find out lessons learned and how they are shaping product delivery towards scalable solutions built upon disruptive technologies, that will be commonplace within the next couple of years.

Sam Watts

Director of Immersive Technologies @MakeRealVR

Sam is actively engaged in the immersive technology community, living his passion for VR and games. Focused on delivery and deployment of Make Real products, he ensures that Make Real’s production teams are fully aligned with customer needs and that quality is assured. In previous leadership roles, Sam has delivered and supported dozens of digital products at Zynga, NCsoft, Kerb and Epic. Clients have included BBC, Channel 4, EDF Energy, McDonald’s, Sky and Sony PlayStation. Sam’s commitment to the VR community means that he is an in-demand panelist and commentator on the emergence of VR. Maintaining close relationships with industry leaders such as Oculus, HTC/Valve and Sony, Sam also ensures that Make Real has early access to all key emerging technologies. more

Deep Learning Atlas

What are neural networks? What makes them recurrent or convolutional? This talk will give you an introduction to and a whirlwind tour of the field of Deep Learning. We’ll start by explaining how simple artificial neural networks work and how they learn (with a minimum of math, I promise). We’ll then go over different network architectures used in computer vision, sequence analysis, neural machine translation and other areas. I’ll also show you how easy it is to get started using PyTorch. Lieutenant Commander Data, the android in Star Trek, famously had a positronic network for his brain. I’m not sure how positrons fit in the picture, but just like sliding doors and portable Padd computers, the networks from Data’s brain are coming into existence in our reality. Current Artificial Neural Networks are already quite capable of recognizing objects in images, composing speech, even basic reasoning. So what was Data’s brain composed of? Convolutional neural networks (CNNs) scan images and are able to detect objects and recognize them, perhaps Data’s eyes had some similar structure. Recurrent neural networks (RNNs) are quite capable of understanding and composing sequences of words to make sentences and sequences of sounds to make speech. An android’s language center would probably have a recurrent structure as well. Commander Data was also very artistic as a painter and composer of music, we see that generative adversarial networks (GANs) can also do these things. We will briefly talk about how all these different types of artificial neural networks work, how we can use them today and perhaps how they will be used in the distant future.

What are neural networks? What makes them recurrent or convolutional? This talk will give you an introduction to and a whirlwind tour of the field of Deep Learning. We’ll start by explaining how simple artificial neural networks work and how they learn (with a minimum of math, I promise). We’ll then go over different network architectures used in computer vision, sequence analysis, neural machine translation and other areas. I’ll also show you how easy it is to get started using PyTorch. Lieutenant Commander Data, the android in Star Trek, famously had a positronic network for his brain. I’m not sure how positrons fit in the picture, but just like sliding doors and portable Padd computers, the networks from Data’s brain are coming into existence in our reality. Current Artificial Neural Networks are already quite capable of recognizing objects in images, composing speech, even basic reasoning. So what was Data’s brain composed of? Convolutional neural networks (CNNs) scan images and are able to detect objects and recognize them, perhaps Data’s eyes had some similar structure. Recurrent neural networks (RNNs) are quite capable of understanding and composing sequences of words to make sentences and sequences of sounds to make speech. An android’s language center would probably have a recurrent structure as well. Commander Data was also very artistic as a painter and composer of music, we see that generative adversarial networks (GANs) can also do these things. We will briefly talk about how all these different types of artificial neural networks work, how we can use them today and perhaps how they will be used in the distant future.

Language ENG

Michał Karzyński

Software Engineer, Intel AI

Michal Karzynski has a scientific research background in the areas of molecular biology and bioinformatics. He is currently working as a Machine Learning software engineer, tech lead and consultant. He also has web development experience and spent many years writing code in Python and JavaScript. Michal loves Linux and everything open source. He’s currently working on nGraph, Intel’s runtime and graph compiler for Deep Learning.  He wrote “Webmin Administrator’s Cookbook”, a book on Linux server administration. As consultant he was responsible for designing and deploying cloud infrastructure for a number of companies. Michal is currently employed as a tech lead at Intel. He also runs the consulting company Atarnia.com. He writes a blog, which can be found at http://michal.karzynski.pl more

AI Is the Solution for Everything? Stories of Self-Experienced Failed AI Applications and What We Can Learn from Them

This talk is heavily inspired by the “Fuckup-Night” format. Instead of praising the success stories, in this format stories of failures and “fuckups” are told. What might look as pure entertainment at first glance turns out to be highly informative. Quite often we can learn even more from failures than from success stories. In the current AI hype, we always hear the success stories, be it from Google, Uber or Amazon. In this talk I will share with you the stories of failed AI applications I experienced so far in my six years of being a data scientist. There will be stories from different fields, retail, insurance, industry and various different applications, from predictive maintenance to churn management. So, all the AI hype is crap? No, in the contrary! There are, and there will be even more AI success stories in future, just it is not always that simple as it might look like on marketing slides. That is why I will point you to the common patterns that eventually lead to a failure of these AI applications so that you can avoid falling in the same traps. I hope I will be able to teach you something about statistics and business politics, at the least you will hear some exclusive witty anecdotes!

This talk is heavily inspired by the “Fuckup-Night” format. Instead of praising the success stories, in this format stories of failures and “fuckups” are told. What might look as pure entertainment at first glance turns out to be highly informative. Quite often we can learn even more from failures than from success stories. In the current AI hype, we always hear the success stories, be it from Google, Uber or Amazon. In this talk I will share with you the stories of failed AI applications I experienced so far in my six years of being a data scientist. There will be stories from different fields, retail, insurance, industry and various different applications, from predictive maintenance to churn management. So, all the AI hype is crap? No, in the contrary! There are, and there will be even more AI success stories in future, just it is not always that simple as it might look like on marketing slides. That is why I will point you to the common patterns that eventually lead to a failure of these AI applications so that you can avoid falling in the same traps. I hope I will be able to teach you something about statistics and business politics, at the least you will hear some exclusive witty anecdotes!

Sebastian Neubauer

Senior Data Scientist at Blue Yonder GmbH

Sebastian joined Blue Yonder as a Data Scientist after completing his PhD in physics. One of the first things Sebastian learned on the job is that it takes a lot more than just software and algorithms to deliver value to customers. Realizing this, he focused his efforts on configuration management and application life cycle management as well as the design, development and operation of distributed systems. He is now a Senior Data Scientist at Blue Yonder and contributed already in nearly all layers, from infrastructure to algorithms. more

Blockchain: revolution or the toy?

Nowadays Blockchain is a revolutionary technology for business. And like any revolution it is quickly getting deeper and deeper inside lots of fields: from finance and healthcare to suppliers and producers of goods and services. Financial sector and insurance are one of the most powerful drivers of this technology and today they are drowning in the verity of platforms that allow to build DApps on blockchain base. As the history tells us, a golden fever generates hundreds of gold speculators and thousands of equipment suppliers and the history is repeating here with blockchain platforms: they are created every day and are promising to fully cover the business needs. To learn how to sort out fairly useful technologies at the very beginning is as very important as it is hard at the same time. So why don’t we try and do that at our presentation?

Nowadays Blockchain is a revolutionary technology for business. And like any revolution it is quickly getting deeper and deeper inside lots of fields: from finance and healthcare to suppliers and producers of goods and services. Financial sector and insurance are one of the most powerful drivers of this technology and today they are drowning in the verity of platforms that allow to build DApps on blockchain base. As the history tells us, a golden fever generates hundreds of gold speculators and thousands of equipment suppliers and the history is repeating here with blockchain platforms: they are created every day and are promising to fully cover the business needs. To learn how to sort out fairly useful technologies at the very beginning is as very important as it is hard at the same time. So why don’t we try and do that at our presentation?

Oleh Mizov

Delivery Manager, SoftServe

Oleg Mizov started his career in network security domain where he implemented highly safe solutions for companies like Cisco and banks. Now, being a Delivery Manager at SoftServe, Oleg Mizov helps his clients from Financial Services to stay innovative and secure. Recently, besides traditional DWHs, Regulations, ML and AI, Blockchain has emerged as a new trend. Oleg’s team consults many leading European and Asian financial institutions to build disruptive Blockchain solutions. more

Dmytro Ovcharenko

Solutions Architect, SoftServe

Dmytro Ovcharenko – Solutions Architect in SoftServe. Dima has over 12-year experience in IT. For the last few years is leading Software Architecture Group in SoftServe aiming to develop and spread architecture knowledge/skills inside and out of the company. Since 2018 Dima has been leading blockchain initiative in Softserve and has started out the first software/system architecture meetup. more

Machine Learning Design, Demystified...

Once available only to scientists, today machine learning (ML) is open to a much broader audience of software architects and engineers. In fact, the practice of ML is so advanced that some algorithm results look like "black magic,” even to experienced practitioners. Inspired by attribute-driven design (ADD) and Smart Decisions (a software architecture design game for big data), our speakers are excited to share a new version of the game focused on designing ML systems. In this interactive session, you will learn about designing the architecture for ML systems via series of gamified interactive exercises. We will simulate state-of-the-art ML design systems by analyzing both business and technical requirements, selecting the best matching algorithms, and teaching how to validate early design decisions using rapid prototyping techniques.

Once available only to scientists, today machine learning (ML) is open to a much broader audience of software architects and engineers. In fact, the practice of ML is so advanced that some algorithm results look like "black magic,” even to experienced practitioners. Inspired by attribute-driven design (ADD) and Smart Decisions (a software architecture design game for big data), our speakers are excited to share a new version of the game focused on designing ML systems. In this interactive session, you will learn about designing the architecture for ML systems via series of gamified interactive exercises. We will simulate state-of-the-art ML design systems by analyzing both business and technical requirements, selecting the best matching algorithms, and teaching how to validate early design decisions using rapid prototyping techniques.

Serge Haziev

VP Technology Services Group, SoftServe

Serge Haziyev works as a SVP, Advanced Technology at SoftServe, a digital authority that advises and provides at the cutting-edge of technology. Serge has more than 20 years of experience in various technology domains including Big Data, AI, IoT and Cloud Computing. He is a co-author of Smart Decisions (a.k.a., architectural poker game) currently used by SEI CMU to teach students to design Big Data solutions. Also, Serge is an active contributor to the software community by sharing industry best practices through scientific (and not-so-scientific) publications. Serge’s current activities at SoftServe include leading AI, Big Data, IoT, and R&D advanced technology services as well as conducting educational workshops, sharing concepts, and providing practical input to emerging technologies. more

Iurii Milovanov

Data Science Practice Leader, SoftServe

Iurii has more than 8 years’ experience in enterprise-level solutions including Big Data, data mining, and information security. He specializes in scientific and algorithmic approaches to solving various business tasks using state-of-the-art AI techniques, such as deep learning, computer vision, natural language processing, and speech recognition. more

18:30 19:30

Prize Drawings

19:30 20:30

Ukrainian IT Awards 2018

Awarding ceremony

Register
Prices

Prices

$79
10.05-19.07
Early Birds
$99
20.07-20.08
Regular
$119
21.08
Hot Birds
25% goes to charity

This year, IT Weekend Ukraine is raising money for a good cause with 25% of the ticket price going to a charity initiative.

Money raised will go to SoftServe Charity Fund “Open Eyes” to implement a project ‘Positive rooms’. This is a special bright place for kids who undergo treatment in hospitals. The aim of the project is to create positive space with games, books, toys, creative and educational materials. This is the room where kids can forget about being patients for a while, just smile and have fun.

Charity Fund “Open Eyes” founded in 2014 has been implementing social, educational, cultural and infrastructure projects. To find more information about the Fund please visit website.

Speakers

Speakers

Data Scientist at University of Duisburg-Essen

Kaveh Bakhtiyari

Data Scientist at University of Duisburg-Essen

Kaveh Bakhtiyari

Kaveh Bakhtiyari is currently doing two PhDs in Artificial Intelligence and Electrical Engineering at University of Duisburg-Essen (Germany) and the National University of Malaysia. His main research areas are Artificial Intelligence, Recommender Systems, Human-Computer Interactions and Affective Computing. He has published many research papers, and has spoken in dozens of international venues. He is a top writer in Artificial Intelligence on Medium, and has been awarded the prestigious DAAD doctoral scholarship in 2015 in Germany, Samsung Gear Challenge in 2014 in South Korea, UKM Research Fellowship in 2013 in Malaysia, and top researcher student in four sequential years during his bachelor education in Iran. He also founded MUSINGWAY Ltd. in 2005 as a high-tech intelligent service provider.

VP Engineering at Sophos

Bibhuti Kar

VP Engineering at Sophos

Bibhuti Kar

Bibhuti Kar, is an engineering leader, author and speaker, with global work experience in the fields of telecommunication, networking and cyber security. He has authored “Fables Inc.” that highlights leadership tenets through simple fables. He is a regular contributor to business and technical publications and known for conducting workshops with unique themes and story lines to drive strategy among leaders. Currently he serves as VP, Engineering, SOPHOS Technologies.

Senior Consultant, Operations Integration Americas Practice Lead at Amazon Web Services

Diya Wynn

Senior Consultant, Operations Integration Americas Practice Lead at Amazon Web Services

Diya Wynn

Diya leads the Americas Practice of Operations Integration in Professional Services at AWS helping customers establish operations to be production ready in the cloud. With over 20 years experience and deep understanding of Operations, IT service management and delivery, she works with a global team to position customers to unlock value and experience the transformation they expect with AWS. In order to do so, Operations can’t be an afterthought. Organizations must design with Operations in mind. In addition to her work with enterprise customers and practice management, Diya is a champion in diversity and seeing technology be a driver for inclusion and equity. She supports and invests in programs that inspire, educate, and connect women and the under-represented to technology. Diya also jointly leads a diversity initiative in AWS Professional Services.

Director of Immersive Technologies @MakeRealVR

Sam Watts

Director of Immersive Technologies @MakeRealVR

Sam Watts

Sam is actively engaged in the immersive technology community, living his passion for VR and games. Focused on delivery and deployment of Make Real products, he ensures that Make Real’s production teams are fully aligned with customer needs and that quality is assured. In previous leadership roles, Sam has delivered and supported dozens of digital products at Zynga, NCsoft, Kerb and Epic. Clients have included BBC, Channel 4, EDF Energy, McDonald’s, Sky and Sony PlayStation. Sam’s commitment to the VR community means that he is an in-demand panelist and commentator on the emergence of VR. Maintaining close relationships with industry leaders such as Oculus, HTC/Valve and Sony, Sam also ensures that Make Real has early access to all key emerging technologies.

VP Technology Services Group, SoftServe

Serge Haziev

VP Technology Services Group, SoftServe

Serge Haziev

Serge Haziyev works as a SVP, Advanced Technology at SoftServe, a digital authority that advises and provides at the cutting-edge of technology. Serge has more than 20 years of experience in various technology domains including Big Data, AI, IoT and Cloud Computing. He is a co-author of Smart Decisions (a.k.a., architectural poker game) currently used by SEI CMU to teach students to design Big Data solutions. Also, Serge is an active contributor to the software community by sharing industry best practices through scientific (and not-so-scientific) publications. Serge’s current activities at SoftServe include leading AI, Big Data, IoT, and R&D advanced technology services as well as conducting educational workshops, sharing concepts, and providing practical input to emerging technologies.

Senior cloud architect at Trek10

Forrest Brazeal

Senior cloud architect at Trek10

Forrest Brazeal

Forrest is a senior cloud architect at Trek10, Inc, an AWS Advanced Consulting Partner that specializes in serverless solutions. Prior to joining Trek10, Forrest spent several years leading serverless and AWS projects at Infor. He understands the challenges faced by enterprises moving to the cloud and loves building solutions that provide maximum business value for minimal cost. Forrest hosts the “Think FaaS” serverless podcast at Trek10 and contributes to their open source efforts. Outside of his day job, he interviews the top names in cloud for his “Serverless Superheroes” series at A Cloud Guru and also creates the “FaaS and Furious” webcomic. He is heavily involved with ServerlessConf and regularly speaks at workshops and other events in the serverless community. Forrest holds a master’s degree in computer science from Georgia Tech and is an AWS Certified Solutions Architect — Professional.

WW Director for IBM Cognitive City Solutions

Stephen R. Russo

WW Director for IBM Cognitive City Solutions

Stephen R. Russo

Currently Steve is the WW Director for IBM Cognitive City Solutions in IBM’s Watson IoT organization.  Steve has 30 years of experience designing, developing and deploying worldwide technology and City solutions.  In the past 5 years, he has led the creation and growth of IBMs City Solution, Command Control, Physical Security and Public Safety businesses working closely with international officials and public safety experts from around the globe.  Steve is focused on advanced research technology and emerging technologies in a variety of segments. He works very closely with clients on the implementation of technology to improve efficiency to better manage personnel and assets, and to proactively handle threats. He has worked closely with public and private sector on technologies to continuously optimize these solutions.  He has degrees in software and hardware engineering with experience in executive management, as well as industry experience, business and solution development, solution architecture, advanced technology implementation. Stephen as served on the IJIS board of directors.  He also serves on the advisory board for the School of Engineering University of Connecticut and on the Institute for Ethics in Technology of UC University, Lviv, Ukraine. He has also taught under-graduate and graduate classes on emerging technologies and business development worldwide.  Steve has lectured at numerous international conferences and universities. In addition, he holds leadership positions in multiple charitable organizations.

Data Science Practice Leader, SoftServe

Iurii Milovanov

Data Science Practice Leader, SoftServe

Iurii Milovanov

Iurii has more than 8 years’ experience in enterprise-level solutions including Big Data, data mining, and information security. He specializes in scientific and algorithmic approaches to solving various business tasks using state-of-the-art AI techniques, such as deep learning, computer vision, natural language processing, and speech recognition.

Computer Vision & Machine Learning engineer at Siemens Mobility

Irina Vidal Migallón

Computer Vision & Machine Learning engineer at Siemens Mobility

Irina Vidal Migallón

Irina is a Computer Vision and Deep Learning engineer with a past in Electrical and Biomedical engineering. Seasoned in different industries. She has enabled machine vision products from medical imaging devices at INRIA (France) and surgical planning tools or Virtual and Augmented Reality systems in German start-ups. She is now part of the Computer Vision & AI team in Siemens Mobility. Even more than waking up Skynet, she’s interested in the limits of Natural Intelligence and its decisions over our data.

Senior Data Scientist at Blue Yonder GmbH

Sebastian Neubauer

Senior Data Scientist at Blue Yonder GmbH

Sebastian Neubauer

Sebastian joined Blue Yonder as a Data Scientist after completing his PhD in physics. One of the first things Sebastian learned on the job is that it takes a lot more than just software and algorithms to deliver value to customers. Realizing this, he focused his efforts on configuration management and application life cycle management as well as the design, development and operation of distributed systems. He is now a Senior Data Scientist at Blue Yonder and contributed already in nearly all layers, from infrastructure to algorithms.

Director of Research at Ultrahaptics

Orestis Georgiou

Director of Research at Ultrahaptics

Orestis Georgiou

Orestis is researcher and an author of over 60 publications in the areas of Mathematics, Physics, Engineering, and Medicine. As Director of Research at Ultrahaptics, he leads all internal and external research activities of the company. This includes coordinating the Advanced Research Cluster team (aka the ARC), co-supervising 4 PhD students, and growing and supporting a scientific collaboration network of 50+ Universities and Research Labs around the world with the aim to expand, explore and enhance mid-air haptic technologies and their applications.

Delivery Manager, SoftServe

Oleh Mizov

Delivery Manager, SoftServe

Oleh Mizov

Oleg Mizov started his career in network security domain where he implemented highly safe solutions for companies like Cisco and banks. Now, being a Delivery Manager at SoftServe, Oleg Mizov helps his clients from Financial Services to stay innovative and secure. Recently, besides traditional DWHs, Regulations, ML and AI, Blockchain has emerged as a new trend. Oleg’s team consults many leading European and Asian financial institutions to build disruptive Blockchain solutions.

Software Engineer, Intel AI

Michał Karzyński

Software Engineer, Intel AI

Michał Karzyński

Michal Karzynski has a scientific research background in the areas of molecular biology and bioinformatics. He is currently working as a Machine Learning software engineer, tech lead and consultant. He also has web development experience and spent many years writing code in Python and JavaScript. Michal loves Linux and everything open source. He’s currently working on nGraph, Intel’s runtime and graph compiler for Deep Learning.  He wrote “Webmin Administrator’s Cookbook”, a book on Linux server administration. As consultant he was responsible for designing and deploying cloud infrastructure for a number of companies. Michal is currently employed as a tech lead at Intel. He also runs the consulting company Atarnia.com. He writes a blog, which can be found at http://michal.karzynski.pl

Solutions Architect, SoftServe

Dmytro Ovcharenko

Solutions Architect, SoftServe

Dmytro Ovcharenko

Dmytro Ovcharenko – Solutions Architect in SoftServe. Dima has over 12-year experience in IT. For the last few years is leading Software Architecture Group in SoftServe aiming to develop and spread architecture knowledge/skills inside and out of the company. Since 2018 Dima has been leading blockchain initiative in Softserve and has started out the first software/system architecture meetup.

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