Gordan Kreković is the CEO of Visage Technologies, a company specialized in computer vision technology and the leading provider of face tracking and analysis solutions. Gordan has a PhD in Computer Science and more than 9 years of experience in managing software products, teams, and departments.
Before joining Visage Technologies, he worked at NTH Group, AdCumulus, and Bellabeat. Gordan started his professional career as a Product Manager at NTH Group and became the Head of Product Management after two years. The next step was a CEO position at AdCumulus, a company within NTH Group focused on developing software for mobile and online advertising, where he managed various strategic and operational aspects and scaled the company from its first customer to the break-even point.
While leading the Data Science team in Bellabeat, he created the concept of an AI-powered chatbot health coach and worked on multiple machine learning algorithms for smart devices. Gordan is also an active independent researcher with continuous engagement in the scientific community.
Challenges of developing core AI-based technologies
Value creation in the software industry has intriguingly shifted towards reusing the existing components and services on a high level, focusing on solving problems for existing or emerging markets. This has also affected the field of AI. As the result of a quick adaptation, the AI technology and related services have become increasingly accessible – from machine learning frameworks, tons of application-specific libraries and SDKs, and cloud-based AI solutions, to data collection and annotation services. Building an AI solution is nowadays propelled by existing tools, components, and services.
But what about the companies that are core technology providers that are creating those building blocks and pioneering with early implementation of the state-of-the-art algorithms? Visage Technologies is one of such companies. Collaborating on a long-term R&D project in the field of autonomous driving and developing our own SDK for face tracking, recognition and analysis, we encounter a lot of unique challenges. How to build specific knowledge, how to ensure appropriate amount and quality of data, how to differentiate ourselves from big tech companies that become our competitors, how to keep up with the state of the art, how to emphasize selling points when the product is technically complex, how to decide on development priorities when our product is used for various industries and use cases?
This presentation will provide an experienced perspective on these and similar questions shared by providers of core AI technologies.