One of the questions I get asked the most, especially when speaking at conferences is a version of the following: I am not Google or Facebook or Tencent or Alibaba. So what can AI do for me? The implied follow-up question is that given we know AI is driven by data and these organizations have… Continue reading Why AI value comes from industry-specific applications
AI and machine learning should not be an end in itself for organizations; it should be adopted for sound business reasons. And as an omni-use technology, we see that happening in all sorts of industries and use cases - from agriculture to space exploration. But as it begins to be adopted we see the use… Continue reading AI use cases in four key industries
My new report from 451 Research - 'The Current and Future State of AI and Machine Learning' brings together the key points about AI & ML I've been writing, speaking to clients and presenting about for the past two years. If you agree that technology adoption - like so many other trends - takes the form… Continue reading The Current & Future State of AI & Machine Learning
One of the announcements that came out of Salesforce's recent Dreamforce conference is that the Internet of Things (IoT) is its latest area of focus. As the poster child for the SaaS model, Salesforce has already changed the application software business. It has racked up a market capitalization nudging ever closer to $50bn, and revenue… Continue reading Dreamforce: a bit Uber the top, but Salesforce drives into new neighborhoods
Once enterprises had caught their breath following the big bang of the 2006 US federal rules changes that ostensibly created the eDiscovery market, they've been looking at ways of bringing the eDiscovery process in-house and thus hopefully reducing their costs and gaining more control. When I was an analyst at 451 Research our 2010 annual eDiscovery report… Continue reading What does bringing eDiscovery in-house look like today?