05Aug
02Aug
The shortcuts of machines as they ‘learn’
New research seems to put us on the right path to removing the major source of risks in unattended AI systems like autonomous cars.
28Jul
Opportunity: Use RPA to Help You Save Money
Are some of your business processes inefficient but too complicated to exhaustively reengineer right now? Don’t overlook the ways RPA can automate small and large-scale business processes in most industries and departments. Check out where to start, what actions to take, how to organize your teams, and what to avoid.
23Jul
Hiring data says “most firms not building AI-development teams”
With few exceptions, when it comes to significant, strategic AI investments, enterprises are waiting for the “IT bigs” to do it for them by enhancing their portfolios with new, AI-based capabilities. Job posting data speaks volumes. Listen to the data.
22May
What Artificial Intelligence means to IBM SVP Rob Thomas – and what this should mean to you
In a far-reaching and candid interview after IBM’s #THINK2020 digital event, Rob and I discussed his insights into what’s happening with AI in the enterprise and where the biggest long-term impacts will be. My summary of Rob’s insights Learn more from the interview itself, below. Too many companies confuse consumer-grade and business-grade AI. Companies have…
17May
[Wo]Man Beats Machine 3-0
In AI systems training, a report has it that over a seven-year period algorithmic efficiency has increased three times faster than Moore’s Law.
11May
The Business Future of AI and A Quick Take on IBM Think 2020
The industry is finally owning up to the lack of broadscale, enterprise-wide adoption of AI-enhanced applications. Here’s why.
05May
Ten commandments for new software niche players to follow
What could we do without software? Whether it’s the micrometer I use when adjusting features of the 1930’s tractor engine in my 1962 Morgan roadster, the digital thermometer we bought for the pandemic, the microwave oven we have in our kitchen, the Apple watch I wear or the cloud-based applications I access – software is…
28Jan
Tom Austin’s Tweet-Wrangling Newsletter #2
Should we be patient given disappointing AI implementation rates? Is AI smart enough? What can we learn from fruit fly brains? What else should you know about facial recognition technology? How are Google, Microsoft, Amazon, IBM, and FaceBook progressing on their AI work? How valuable is AI to FinTech? What other newsletters are in the works? And where in the world will I be in March and April?