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Investing in Connected Data

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About this talk

Description

What is Connected Data, and how is it interesting from a market point of view?

Knowledge Graphs have reached peak Gartner hype. Graph data science and graph AI are the fastest growing areas in AI. Graph databases are the fastest growing category in enterprise software.

Add to this the historical foundations of graph algorithms and analytics and semantic technology, which have been invigorated and are seeing widespread adoption, and you get the burgeoning Connected Data landscape.

While there is ongoing technical innovation happening in the domain, how does this translate to market value and opportunities for investment?

How is this market defined, and what is driving its growth?

Join us as we define and explore this landscape, discuss technology and use cases, challenges and opportunities for growth and investment, and where the future may take us.

Key Topics

  • Defining the Connected Data technology and market landscape

  • Exploring the Connected Data market

  • Providing an outlook for the future

Target Audience

  • Entrepreneurs
  • Technical people with entrepreneurial spirit
  • CxOs
  • Decision makers
  • Investors

Goals

  • Define and explore the Connected Data landscape for people who are interested in it from a market perspective
  • Answer questions that matter
    • How is this market defined?
    • What are some key drivers for growth?
    • Where are the opportunities for investment?
    • What is the outlook for the future?

Session outline:

  • Introduction
  • Meet and Greet
    • Setting the stage
    • What is Connected Data?
  • A bit of history
    • The 4 pillars of Graph Technology
    • Graph algorithms & analytics
    • Knowledge Graphs
    • Graph Databases
    • Graph Machine Learning
    • Bonus track: Semantic technology
    • What are some prominent use cases for this technology?
  • The market landscape today
    • How do you define the market?
    • How could we reach an estimate of TAM (Total Addressable Market)?
    • What are some good resources to help evaluate the market?
    • What are the challenges and opportunities in the market?
    • What are the criteria for defining interesting Connected Data startups?
    • What are some interesting Connected Data startups, and why?
    • What is the role of open source in the market?
  • The future
    • Deep tech vs applications
    • What are some major roadblocks / goals, how could we address them, and what would that enable?
    • What will define this space going forward?
    • Who are some key players to keep an eye on?

Format

  • Extended panel
  • Expert discussion, coordinated by moderator
  • 2 hours running time
  • Running time includes modules of expert discussion, interspersed with modules of audience Q&A / interaction

Level

Beginner - Intermediate

Prerequisite Knowledge

None

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George Anadiotis

George has been contributing to, using, and evangelizing knowledge and graph-based technology since the early 2000s. From research and implementation of Graph Databases, to Semantic Web and Knowledge Graph applications in the real world, and now Graph Analytics, Data Science and AI.

Panos Papadopoulos

Panos is an Athens-based partner at Marathon Venture Capital. He was previously a DevTools entrepreneur and his last company was acquired by Splunk where he led APM-related efforts. He focuses on enterprise software, developer tools, productivity, cloud infrastructure, and blockchain. He is most proud of having started several developer communities in his home country

Bob van Luijt

Bob is CEO and co-founder of SeMI Technologies, which is the business created around the vector search engine Weaviate. Besides SeMI and Weaviate. Bob is a frequent speaker on the topics of open source, digital technology, software business, and creativity. He has spoken at around 50 events as a GDE in Europe, the US, and Russia.

Konstantin Vinogradov

Konstantin is London-based Principal at Runa Capital. He focuses on investing in startups developing enterprise software, ML/AI applications, open source, cloud infrastructure and fintech. He also leads the Runa Open Source Startup (ROSS) Index, which highlights the top-20 fastest-growing OSS startups every quarter.

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