WEBVTT 00:00:06.960 --> 00:00:11.140 align:middle line:90% 2019 we focused a lot on the algorithms and people understanding what AI is. 00:00:11.150 --> 00:00:12.660 align:middle line:90% I think we're past that. 00:00:12.660 --> 00:00:18.490 align:middle line:90% As we look to 2020 some of the trends I see are really about that pragmatic AI and a continued 00:00:18.490 --> 00:00:22.640 align:middle line:90% focus on transparency, ethics, and removing bias in AI systems. 00:00:22.640 --> 00:00:29.210 align:middle line:90% The trends you will see in 2020 and beyond will be specifically in how well and how 00:00:29.210 --> 00:00:32.220 align:middle line:90% accurate and how justified AI is. 00:00:32.220 --> 00:00:37.720 align:middle line:90% Determining whether a patient's were unfairly targeted in a clinical trial or whether folks 00:00:37.720 --> 00:00:40.820 align:middle line:90% were unjustly rejected for a home loan. 00:00:40.820 --> 00:00:45.150 align:middle line:90% The whole area of how machine learning is applied in everybody's lives is going to be 00:00:45.150 --> 00:00:48.700 align:middle line:90% the next wave where you're going to hear a lot of AI discussions. 00:00:48.700 --> 00:00:51.700 align:middle line:90% Three years ago, four years ago, we were sampling data 00:00:51.700 --> 00:00:54.540 align:middle line:90% and we were running old timey statistical techniques. 00:00:54.540 --> 00:01:01.020 align:middle line:90% Coming from that to running large scale predictive analytics and automating business decisions, 00:01:01.020 --> 00:01:02.340 align:middle line:90% that is incredible. 00:01:02.340 --> 00:01:07.480 align:middle line:90% It can bring a lot of choice and a lot of innovation, but controlling it and aligning it 00:01:07.480 --> 00:01:13.340 align:middle line:90% with regulations and compliance and centralizing it so that there aren't no silos, 00:01:13.340 --> 00:01:15.680 align:middle line:90% that everything is explainable and centralized. 00:01:15.680 --> 00:01:20.470 align:middle line:90% I think that's going to be the biggest trend and balancing that with giving users a choice 00:01:20.470 --> 00:01:22.320 align:middle line:90% of innovation and technology. 00:01:22.320 --> 00:01:28.600 align:middle line:90% There will be, in my opinion, a crossroads with machines making actual decisions 00:01:28.600 --> 00:01:30.200 align:middle line:90% instead of humans. 00:01:30.200 --> 00:01:36.200 align:middle line:90% The component of ethics will only evolve as we continue in trusting machines to make 00:01:36.200 --> 00:01:37.660 align:middle line:90% decisions for humans. 00:01:37.660 --> 00:01:41.180 align:middle line:90% There is so much unstructured information that is barely analyzed. 00:01:41.180 --> 00:01:48.120 align:middle line:90% Images, text files, all your files, transforming all these big data into insights 00:01:48.120 --> 00:01:49.500 align:middle line:90% is going to be a huge trend. 00:01:49.500 --> 00:01:55.220 align:middle line:90% People tend to think only the data scientists can build models, but platform like SAS actually 00:01:55.229 --> 00:02:01.420 align:middle line:90% helps to enable the people with a business domain knowledge to do analytics very easily. 00:02:01.420 --> 00:02:04.170 align:middle line:90% It's interesting because I think it's going to be geographical. 00:02:04.170 --> 00:02:07.290 align:middle line:90% It's going to be, "Where is this coming from?" 00:02:07.290 --> 00:02:08.780 align:middle line:90% We hear a lot about AIs from China. 00:02:08.780 --> 00:02:13.570 align:middle line:90% They are definitely the leader in this industry, but we're going to see a lot of other places 00:02:13.570 --> 00:02:18.530 align:middle line:90% that are going to be deploying and talking about really great AIs. 00:02:18.530 --> 00:02:22.120 align:middle line:90% It really is who has the data, that's who will be the King.