Enterprise hits and misses - generative AI surges past robotics, but why? Deutsche Bank tests financial markets - will they hold?

Jon Reed Profile picture for user jreed March 27, 2023
Generative AI surges ahead versus physical robots - but why? Adobe Summit puts a new twist on the generative AI discussion. As Deutsche Bank tests financial markets, what's next? Your whiffs include AI dating gone right - and wrong.


Lead story - AI gut check - why is generative AI surging ahead of robotics?

Say what you like about generative AI - I've said plenty (I also believe Microsoft is way off base asserting ChatGPT4 is the "sparks" of AGI, but that's another story).

Still, generative AI is surging, compared to the difficulties that physical robots have encountered. Chris explores this topic in Why it’s simpler for AIs to write about art than for robots to do your laundry:

Teaching a robot that a cup is a cup, let alone training the machine to put it on a shelf, is an incredibly complex engineering and programming task. And that’s in spite of all those videos of Boston Dynamics robots running, jumping, and doing somersaults.

ChatGPT can train on the open Internet, and produce content from that ingested data in controlled settings. But moving about, amidst other humans, is not a controlled setting. Still, as the CEO of Sanctuary AI tells Chris, there are robotics use cases that work:

The automation of all the things that people can do without thinking is not within sight of modern technology. Not now, nor in the near- or medium-term future. But, for example, the movement of goods from place to place is more like low-hanging fruit. Those are the kinds of tasks that you can automate with technologies that are within sight.

At diginomica, we've forayed into the generative AI hype festival in search of relevant enterprise use cases. We've found a number of them, though I characterize these as "evolutionary," not the "revolutionary" some are implying. Phil picks up this topic in Generative AI 'knows nothing' says Software AG's CPO. So what are the enterprise use cases?. Coding is an example of an evolutionary use case. As per Phil:

For example, in the realm of integration, ChatGPT could be helpful when developers are creating mappings between APIs, when the fields in one dataset need to be matched to fields with different names in another dataset.

Phil quotes Software AG's CPO, Dr. Stefan Sigg:

That's typically something which can be tedious and error-prone. Even in the past, there has been some promises that AI would be helping that a lot. But that wasn't really the case, because there was a lack of data behind the model.

My intention is not to throw cold water but to push for precision. When you need humans-in-loop, you aren't in revolutionary mode (alas, that's why Internet-based disinformation-at-scale is the most revolutionary generative AI use case to date, along with commodity publishing, as per black hat SEO-rigging web sites).

And yet, as I wrote in my Workday AI/ML Innovation Summit review, I can see the enterprise taking the lead in making generative AI truly useful. Finally, the enterprise tech spank tunnel - with its comparatively high guardrails on data quality in mission critical systems - just might come in handy.

Diginomica picks - my top stories on diginomica this week

Vendor analysis, diginomica style. Here's my three top choices from our vendor coverage:

Adobe Summit - diginomica team coverage. As expected, Adobe had plenty to say about generative AI, and, understandably, not much to say about the Figma acquisition status, but there was more:

A couple more vendor picks, without the quotables:

Best of the enterprise web

Waiter suggesting a bottle of wine to a customer

My top seven

Overworked businessman


This is more disconcerting than whiffy, but it reminds us: we better have our BS detectors on:

On the lighter side of disinformation, if there is such a thing:

Another tough reminder: AI advancements cut both ways:

On the other hand, I got this encouraging PR missive:

Maybe things are looking up after all? See you next time... If you find an #ensw piece that qualifies for hits and misses - in a good or bad way - let me know in the comments as Clive (almost) always does. Most Enterprise hits and misses articles are selected from my curated @jonerpnewsfeed.

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