Amazon

The Source of #AI Hype

Apple doesn't mention it... Amazon doesn't mention it... Alphabet (aka - Google) does mention it - but doesn't link it specifically to financial performance... IBM? You betcha. More than 155 times... In case you have been living under a rock - which, now that I think of it, has some increasing allure - artificial intelligence (and its slightly less sexy twin, machine learning) has succeeded 2016's marketing darling, blockchain, to become the blinking-neon-sign-outside-your-hotel-room term for 2017. Sorry, folks. The budgets have already been allocated. Go find predictive analytics (2014) and digital transformation (2015) in the dust bin of over-exposed marketing terms if you are not yet hip to how this game is played. Now, let's take a quick step back for a second: This is NOT an anti-AI hit piece. Nor is this an IBM-gotcha piece. I am a fan of both. But, this is simply a commentary based on the convergence of connect-the-dots exercises that have come out of our modeling and research. Yes, AI has an incredibly promising - if not, slightly scary [...]

By | 2017-04-28T10:17:09+00:00 April 27th, 2017|Alphacution Feed|

Can (Digital) Transformation Be Measured?

A sextant is an optical navigation device used by sailors starting around 1730. With practice, it can prove quite accurate in plotting courses. Though the contemporary digital equivalent - a global positioning system (GPS) - has become the mainstream tool for navigation, sextants are still in use today among a small but avid group of yachtsman, survivalists and cognoscenti. Keep this migration in mind as we walk through today's question: Can (digital) transformation be measured? Our answer to this, of course, is yes - however, as in most cases, the specificity of measurement is data dependent. So, the qualified "yes" to this question, for now, relates to measuring transformation at the enterprise level. This is because the necessary enterprise data is relatively easy to find in the financial disclosures of the companies in our initial target sample. There is also rhyme and reason to starting at enterprise level because it plays squarely into our long term vision to define the total value of technology spending in the financial services ecosystem - [...]

By | 2016-12-10T21:10:53+00:00 September 20th, 2016|Alphacution Feed|

#DigitalMythology: The Searing Truth of Context

The primary goals of this ongoing series of research are to quantify - in increasing detail - what the members of the financial services industry (FSI) ecosystem spend on technology (including hardware, software, data and IT human capital) – which is sometimes referred to as (enterprise) total cost of ownership (TCO); develop benchmarks and analytics that help describe the absolute and relative nature of these spending patterns; and then, use the findings to confirm, deny, expand the prevailing (or introduce new) narratives in the space. The first phase of modeling has focused on the largest IT solution buyers, a selection of over 50 of the world’s largest banks – plus a few others whose purpose, for now, is to help us place this initial sample of FSI players in proper context. (More on this shortly.) Subsequent phases of modeling will incrementally build upon this foundation with the addition of other constituencies in the FSI ecosystem until a comprehensive view is maximized. With this as a backdrop, we have been focusing on [...]

By | 2016-12-08T22:38:18+00:00 December 6th, 2015|Alphacution Feed|