As Microsoft CEO Satya Nadella put it on the company's fiscal Q320 earnings call on April 29, As COVID-19 impacts every aspect of our work and life, we have seen 2 years' worth of digital transformation in 2 months. Things are changing very quickly in certain areas of the technology sector and so surveys we… Continue reading Taking a post-Covid look at AI adoption by industry
As we come to the end of 2019 - and indeed the decade - I wanted to give you a heads-up of forthcoming Voice of the Enterprise AI & Machine Learning survey research coming in January, so I made a 1-minute video that explains it all. https://youtu.be/5jVJee1rzxo If you want to know more about trends… Continue reading New AI & Machine Learning research coming from 451 in 2020
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
Healthcare IT is hard. I bring this up as the drumbeat of negative press about IBM Watson has been getting louder recently, especially around healthcare. And now comes this comprehensive report from STAT News - a well-respected source in the health sector - on IBM's efforts with Watson for Oncology. The report outlines the struggles clinicians have… Continue reading Healthcare IT is hard – even with AI & machine learning – but we should pursue it
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?
Insurers are already awash with data, but they're about to get a whole lot more. That makes their current under-investment in technology to analyse data all the more troubling. A recent report, surveying more than 300 insurers around the world identified insurers as ripe for disruption unless they invest in new technology to better analyse… Continue reading Data-rich insurers about to get richer. Can they handle it?
The business case for better information management in healthcare is clear cut. This applies especially in markets where healthcare providers aren't competing for patients, as they do in the US. So sharing information should be the norm. But it isn't. Why? There are numerous reasons, but it's due in part to slow adoption of technology… Continue reading Healthcare ripe for information innovation