Specialising in Fintech - Research and Development, Kiitot

Tatja Karkkainen

Specialising in Fintech - Research and Development

Kiitot

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.

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

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52-week Range	0.00 - 0.00
Market Cap (USDm)	0.00
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Arweave (AR CURNCY)

(COAI) ChainOpera - Decentralised Federated Learning for AI

AI market enthusiasm has inflated valuation of this federated learning focused token despite limited adoption and uncertain demand, with high...

Tatja Karkkainen

Price Gauge

52-week Range

Market Cap (USDm)

P/E

Dividend (Yield)

(COAI) ChainOpera - Decentralised Federated Learning for AI

​AI market enthusiasm has inflated valuation of this federated learning focused token despite limited adoption and uncertain demand, with high...

Tatja Karkkainen

AI market enthusiasm has inflated valuation of this federated learning focused token despite limited adoption and uncertain demand, with high...