I was recently interviewed by TechTarget journalist Mark Labbe, regarding the need for regulating AI (Artificial Intelligence). The interview was prompted by the release of a new draft US government directive called Guidance for Regulation of Artificial Intelligence Applications.
Advent doesn’t start yet so it’s not too late to get a ‘bah humbug’ piece published in 2019… so here goes. This past year at Deep Analysis we have taken almost 150 briefings with technology vendors, some great, some ok, some terrible, but nevertheless all interesting. Analysts have long been trained to hold back and …
Once again, I have to spend time with Law Enforcement and Lawyers; fortunately, this time around, it’s at the EnFuse OpenText conference in Las Vegas. It’s the security conference that isn’t – in the sense that it’s more about compliance, legal and forensics than an RSA conference would be. Though we don’t specialize in security …
OpenText to bridge the governance vs security divide? Read More »
As AI works its way into the enterprise, we have noticed one particular term gaining traction, that of ‘Deep Learning.’ Both in conversations with buyers of AI and technology vendors of AI, Deep Learning appears to have caught the imagination. That is worrisome as Deep Learning is a branch of AI that promises a lot, but you should approach it with extreme caution.
But the dark horse seems to be Oracle, who have quietly yet steadily creeping up on the inside track. It started innocuously enough with the release of the Oracle Blockchain Platform in late 2018. At the time it seemed like a ‘me too’ response to SAP & IBM and went largely under the radar. But in 2019 things appear to have changed, and the foot is firmly on the accelerator with the release of Blockchain SaaS applications and a slew of accelerators and tools to quickly onboard clients.
KM (Knowledge Management) has been a recurring topic in the past year. It keeps coming up again and again in the most diverse of situations, several times I have been asked ‘is KM back?’ and the answer has to be “It looks like it probably is…..’. KM was a hot topic in the late ’90s …
Recently I spoke at the inaugural MarTech Conference in Delhi, and both the excellent presentations and the many off the cuff conversations led me to be a bit concerned about where this market is heading. MarTech is a term that has been used for a few years now, and simply connotes the merging of marketing …
In our upcoming book ‘The AI Playbook’ we discuss in some detail the issue of bias in AI. For those that don’t know, AI bias is the phenomena of an AI system giving prejudiced results due to misassumptions in the process. It’s easy to label biases as mistakes, but frequently they are not, they are answers that we do not agree with.
It seems like every week; a technology vendor tells me how their AI product will free workers from mundane jobs and enable them to do more exciting work. And, every week I respond the same way (though sometimes more diplomatically) ‘that is not true.’ As AI works its way through blue-collar jobs, lower-paid white-collar jobs and now into higher-paid professions, that sales pitch that falls flat. In theory, AI automation could free workers from the mundane and create new and more exciting jobs. But in reality, that will seldom happen, workers are made redundant.
Here is our research agenda for the coming year – it may change and will certainly be updated but hopefully this provides you some insight into what we are working on. As always if you have any suggestions or feedback reach out as we want to be sure our work is relevant, timely and of value!
