Artificial Intelligence (AI) and Machine Learning (ML) techniques have evolved and it is now much easier than ever to use these to implement personalization now. At a very simplistic level, personalization is about “predicting” what a user will like to see and then offering that to the user.
This week 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 …
This month we launched our first Enterprise Blockchain Market Forecast. In it, we detail how the market is shifting away from the stealthy and steady growth of Blockchain infrastructure into the world of business applications. The biggest surprise in the report is something that is hiding in plain sight, as from nothing the Enterprise Blockchain market is already in 2019, a $2.9B market, one that is set to grow to over $12B by 2024.
Pretty much all enterprise content should now be stored and managed in the Cloud, for that was the bold analyst prediction circa 2008. The reality today is nothing close to those predictions. Most ECM content remains stubbornly on-premises, and much of the content that has technically migrated to the Cloud is on-premises in so-called ‘private clouds’… It’s …
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.
Though under-reported at the time, Salesforce (one of the largest enterprise software firms) made a set of announcements this year regarding Blockchain. On the surface, the announcement of a low code development tool on the Salesforce Lightning platform called unsurprisingly ‘Salesforce Blockchain’ is insignificant.
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.
This past week OpenText announced a partnership with Google Cloud (GCP), that announcement lifted OpenText’s share price to his highest ever level. At first blush, the excitement seemed odd, as frankly, everyone has a partnership with Google, Amazon, and Microsoft. Working to unpack the real relevance of this deal for both OpenText & Google reveals an intriguing partnership strategy.
This past spring, we have been publishing a series of articles on CMSWire on the topic of artificial intelligence. The goal was to demystify the subject and give tips on how and where to get started. These follow on from our in-depth online training course in partnership with AIIM that was released earlier this year.