Ross Chayka. Gartner Hype Cycle Ross Chayka's personal websites: UA - https://rchayka.one EN - https://rosschayka.com LIn - https://www.linkedin.com/in/rchayka

1. Gartner Hype Cycle for
Emerging Tech 2022
Ross Chayka
linkedin.com/in/rchayka
fb.com/rostyslav.chayka

2. About me
● Ross Chayka
● Lviv Startup Club - Founder & CEO
● Lemberg Tech Business School - Founder & CEO
● Associated Coach Practitioner by RCG
● TechOne Startup Incubator - Founder

3. About you
● City
● Startup / Product / Service
● What would you like to know ?

4. Audience
● Startup founders
● IT Service Company CXOs
● Angel Investors
● Venture Fund Managing Partners

5. Agenda
● Why UA is resource country?
● Emerging Tech in UA
● How to predict future tech landscape?
● Gartner Hype Cycle for Emerging Tech
● Q&A

6. Why UA is resource country?
● Startups
● IT Service Companies
● IT Specialists
● Investors

7. Emerging Tech in UA
● Education
● Labs
● Networking
● Projects
● Capital

10. How to predict future tech landscape ?
● Education
● Networking
● Participation
● Analysis

20. 0-5 years
● Decentralized Identity
● Non-Fungible Tokens (NFT)
● Employee Communications Applications
● Composable Applications
● Real Time Incident Center -aaS

21. 5-10 years
● Data Fabric
● AI-Augmented Software
Engineering
● Multi Experience
● Active Meta Data Management
● Decentralized Finance
● Composable Networks
● Self-Integrated Applications
● Homomorphic Encryption
● Industry Clouds
● Sovereign Cloud
● Physics-informed AI
● Machine-readable Legislation
● Influence Engineering
● AI-Augmented Design
● Digital Platform Conductor
Tools

22. >10 years
● Digital Humans
● Named Data Networking
● AI-Driven Innovation
● Quantum ML

23. 0-5 years

24. Decentralized Identity

26. Employee Communications Applications

28. Composable Applications

29. Real Time Incident Center -aaS

30. 5-10 years

31. Data Fabric

32. AI-Augmented Software Engineering

33. Multi Experience
● People-literate technologies
● AR
● VR
● Mixed Reality
● Multichannel human-machine interfaces
● Sensing

34. Active Meta Data Management

35. Decentralized Finance

36. Composable Networks

37. Self-Integrated Applications

38. Homomorphic Encryption

39. Industry Clouds

40. Sovereign Cloud

41. Physics-informed AI

42. Machine-readable Legislation

43. Influence Engineering
Influence engineering (IE) refers to the production of algorithms to automate
elements of digital experience that guide user choices at scale by learning and
applying techniques of behavioral science. The abundance of data sources and
machine learning capabilities enables new systems of influence and
breakthroughs in areas such as emotion detection and language generation show
clear potential to automate influential aspects of communication.

44. AI-Augmented Design

45. Digital Platform Conductor Tools
● Workflow orchestration
● Event-driven automation
● Self-service automation
● Scheduling, monitoring, visibility, alerting
● Resource provisioning
● Managing data pipelines

46. >10 years

47. Digital Humans

48. Named Data Networking

49. AI-Driven Innovation

50. Quantum ML

51. Questions ?

52. Feedback
● What do you understand?
● Would you like to get more ?
● Public feedback:
○ Name, Position
○ 3-4 sentences feedback
○ link to photo

53. Contacts
linkedin.com/in/rchayka
fb.com/rostyslav.chayka
rchayka@gmail.com