About the talk
Artificial intelligence is here, and can provide a serious competitive advantage, according to Tim Ensor, director of AI at Cambridge Consultants, who chaired the ‘Deliver’ stage at the recent AI Summit in San Francisco.
But challenges to wider adoption of new AI-powered tools remain, chief among which is getting access to a large volume of data necessary for algorithm training, and ensuring the high quality of data that’s required for those algorithms to be accurate.
Keep up-to-date with all the latest AI news and insight at https://aibusiness.com/
official intelligence 00:05 So tell me some Sultan's is a business that helps icons to deliver will changing Innovation. So it's ready for us about helping those cons to 00:17 significantly move the needle by creating product switching you to the Wells Books on how do we help them to lead in that market to start having rain 00:25 destruction position in the market and delivering you experience with a customer. Yes, I had a great time 00:34 sharing the main stage of the S on it. And I think the main topics coming out of that for me was a recognition that in some areas. We're really seeing 00:44
eye are pushing through to production. So actually sing business value being ready to drive from from getting a science production. So that was great 00:53 keynote from Jose from Pinole CA where I fix the drive his bank to be the most profitable in Mexico other examples of 01:02 struggling with getting the volume of data, which is necessary 01:11 in a clean format for them to actually deliver that value and applications. People are still quite stuck at this proof-of-concept level. There is a 01:21
need for the new innovation I think to be able to push some of those applications through the body. 01:30 I think one of the key trends that I'm expecting to see kind of bills on that game is too hot. So I just mentioned so so those organizations with 01:40 their applications really don't lend themselves to have the dates for available missing a whole host of new math technique coming through which you're 01:49 going to start allowing performing high-performing a systems to be able to be delivered an area where we're researching quite 01:58
heavily. So starting to bring some new techniques to the fool like you made out of patient few shot learning some of these new techniques be able to 02:08 get these into those applications wear today that kind of blocks. I don't think by using these applications in these areas of research. We're going to 02:16 start We had a great evening at the iiconics awards 02:24 thrilled to be the winner in the best deep learning has agreed. So I shot one of demonstration. It's all about using generative networks to be 02:34
able to correct damage data in real-time the removing Distortion from videos. I 02:44 have to work effectively in the real world. So I'll tell him his vehicles and machines have to deal with the rain 02:50 in the fog in the snow. And today they just unable to cope with those environmental conditions a whole host of things like Medical Imaging 03:00 applications where the clarity of those image and the resolution you can achieve it's just not good enough today, but I like to be able to be useful 03:08
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