The Competitive Landscape for Machine Intelligence

The PDF [0] is a bit of a grab bag and not as nicely organized as I would have expected from the past landscapes they&#x27;ve produced.<p>It&#x27;s likely this coming from a less technical perspective but roboadvisors like Betterment or Wealthfront are not really examples of machine intelligence. Their whitepapers describe the techniques they use to craft their portfolios [1]. At best they use optimization on a predictive model, but it seems highly likely that they have manual input. They create a set of recommendations and execute them for you. There isn&#x27;t much learning, data mining, or automated processing from data happening there.<p>The &quot;Agent Enabler&quot; section seems like its trying to get at foundational reinforcement learning companies but isn&#x27;t self consistent with the examples provided.<p>They left companies like the Allen Institute and DeepMind off the research section.<p>It&#x27;s easy to go on, but I think they need a technical editor next time :)<p>[0] <a href="https:&#x2F;&#x2F;hbr.org&#x2F;resources&#x2F;pdfs&#x2F;hbr-articles&#x2F;2016&#x2F;11&#x2F;the_state_of_machine_intelligence.pdf" rel="nofollow">https:&#x2F;&#x2F;hbr.org&#x2F;resources&#x2F;pdfs&#x2F;hbr-articles&#x2F;2016&#x2F;11&#x2F;the_stat...</a> [1] <a href="https:&#x2F;&#x2F;research.wealthfront.com&#x2F;whitepapers&#x2F;portfolio-review&#x2F;" rel="nofollow">https:&#x2F;&#x2F;research.wealthfront.com&#x2F;whitepapers&#x2F;portfolio-revie...</a>

Under the &quot;Audio&quot; section, we&#x27;ve got Quirious, TalklQ, Twilio; melodious names that end with twirling, soft rhythm. Under &quot;Internal Data&quot;, we&#x27;ve got Cycorp and Palantir and Primer; hard-edged P-prominent words implying secrecy and stead-fast solidity.

Regarding this - &quot;Model here means business rules, like rules for approving loans or adjusting power consumption in data centers. In traditional software, programmers created these rules by hand. Today machine intelligence can use data and new algorithms to generate a model too complex for any human programmer to write.&quot;<p>Isn&#x27;t it a bit problematic that the business rules generated by the model are too complex for humans to reason about them? How can you rely on the rules to be 100% appropriate for the task if it&#x27;s impossible to reason about them?