Specialising in Fintech - Research and Development, Kiitot

Tatja Karkkainen

Tatja specialises in digital assets and machine learning. She has authored a number of academic papers relating to network effects, financial inclusion, crypto futures and FOMO. Her interest lies especially in predicting long term value. She has had a long and successful track record in institutional investor relationship management, IT and alternative investments. PhD in (Finance) Fintech, MA in Politics, BA in International Relations and Politics. CAIA, IMC, Series 3.

Specialising in Fintech - Research and Development

Render: A Utility Token Powering AI and the Establishing Digital Compute Economy

2023 High Conviction – Chainlink, Bridging Blockchain with Real-World Data Source

Kiitot

Crypto

<ul>
<li>Valuation inflated by AI market enthusiasm, not genuine federated learning adoption, and limited exchange listing. </li>
<li>Demand for federated AI data solutions remains uncertain at this stage.</li>
<li>High execution risk persists, as federated learning infrastructure is still conceptual and progress may lag expectations.</li>
</ul>


Valuation inflated by AI market enthusiasm, not genuine federated learning adoption, and limited exchange listing. 
Demand for federated AI data solutions remains uncertain at this stage.
High execution risk persists, as federated learning infrastructure is still conceptual and progress may lag expectations.


(COAI) ChainOpera - Decentralised Federated Learning for AI

ChainOpera AI

(COAI) ChainOpera - Decentralised Federated Learning for AI