The document discusses 8 emerging tech trends transforming today's markets: distributing co-creation, using consumers as innovators, tapping talent, extracting value from interactions, expanding automation, unbundling production from delivery, putting science into management, and making business from information. It also discusses how IdeeaLab aligns with these trends and covers concepts like web 1.0, 2.0, 3.0, open innovation processes, using the web for open innovation, and features for ontology, grouping, recommendations, speech to text, and text verification.

2. 8 emerging tech trends that are transformingtoday’s markets and business Trends to Watch(McKinsey 2008) Distributing co-creation Using consumers as innovators Tapping into a world of talent Extracting more value from interactions Expanding the frontiers of automation Unbundling production from delivery Putting more science into management Making business from information 2 IdeeaLab

3. Third Millennium Lab – new concept of collaboration and open-innovation paradigm Alignment with theTrends Distributing co-creation Using consumers as innovators Tapping into a world of talent Extracting more value from interactions Expanding the frontiers of automation Unbundling production from delivery Putting more science into management Making business from information 3 IdeeaLab

4. Web 1.0 Web 2.0 Web 3.0 The customer is monetized The customer strikes back The customer customizes 4 IdeeaLab

5. 5 IdeeaLab

6. Why does web 2.0 matter? It's the biggest change in the organization of the corporation in a century Don Tapscott Wikinomics Business – Web 2.0 web 2.0 takes a fundamentally different view of how business, customers, and partners interact, and in doing so, it opens up a range of new business models 6 IdeeaLab

8. Multiplication of own technologies

10. Innovation network7 IdeeaLab

11. Web as the ground for Open Innovation 1998 FUTURE OPEN INNOVATION 8 IdeeaLab

12. Core IdeeaLab elements Business ecosystem Science base environment Collaborative networks Knowledge-oriented collaboration Web 2.0 recommendation system Idea Supply environment 9 IdeeaLab

13. How to find relevant documents and peopleto work with more easily, accurately, automatically, and reliably? Podnaslov Ontology Grouping Recommendation Speech to text Verification of text 10 IdeeaLab

14. … Ontology is a formal representation of a set of concepts within a domain and the relationships between those concepts, as well as of the defining lose basic categories and their relations. We can say that ontology is evaluation method based on a large collection of documents and several context definitions deduced from it by applying a language and a documentary analysis. We will use ontology for defining concepts and relations between different domains such as user profiles, offers and requests for cooperation, awards,etc., and will help any user to find structured data, based on a predefined concepts comprehensable to all. 11 IdeeaLab

15. …Grouping one relation usually, (also known as clustering) is a technique oforganizingobjects into groups whose members are similar in some way. We will grouptextual documents: including ideas, challenges, user profiles, scholarship and internship descriptions, awards, etc. Using this technique simplifies search by focusing on particular group, helps matching user requests with available offerings, etc. 12 IdeeaLab

16. …Recommendationsrepresent improvement of user experience in the sense that the content is presented to user with presumption that such content is highly likely of user interest. Recommendations are based on user's profile content, his previous searches and browsing history. Example: when user will examine posted challenge, our system will recommend similar challengesbased on users profile and browsing pattern. 13 IdeeaLab

17. …Verification of Textis feature for examining similarity of documents to ensure authenticity and uniqueness of presented ideas in order to prevent duplication or plagiarism. This feature helps protecting users' intellectual rights. …Speech to Text represents technique for obtaining text documents from audio and video documents in order to apply all the above-mentioned algorithms. 14 IdeeaLab

18. … and beyond web 2.0? Podnaslov PervasiveMobile Technology Artificial Intelligence Speech Technologies Web as an Open Source Database Web without Browsers Semantic Web Cloud Computing 15 IdeeaLab