WEBVTT 1 00:00:00.120 --> 00:00:03.000 - AI is everywhere and there's a dot.dot. 2 00:00:09.870 --> 00:00:10.980 - Welcome to AI Factor. 3 00:00:10.980 --> 00:00:12.810 Coming to you from the NASDAQ market site. 4 00:00:12.810 --> 00:00:14.130 Today we're joined by Bill Briggs, 5 00:00:14.130 --> 00:00:15.720 Deloitte's chief technology officer 6 00:00:15.720 --> 00:00:17.670 to talk about the trends in tech 7 00:00:17.670 --> 00:00:19.020 and how AI is transforming 8 00:00:19.020 --> 00:00:20.940 businesses. Great to have you here, bill. 9 00:00:20.940 --> 00:00:23.550 - Great to be here. - Tell me a little bit about Deloitte's 10 00:00:23.550 --> 00:00:24.690 tech trends report. 11 00:00:24.690 --> 00:00:27.660 - The amount of change happening in technology is amazing 12 00:00:27.660 --> 00:00:29.520 and I love in tech trends we cover all of it. 13 00:00:29.520 --> 00:00:31.200 The things that might feel more traditional 14 00:00:31.200 --> 00:00:32.730 and the things that are more emerging. 15 00:00:32.730 --> 00:00:35.460 But the point really is when we're with our clients, 16 00:00:35.460 --> 00:00:37.680 how do I even understand the what 17 00:00:37.680 --> 00:00:40.170 of all the things happening to get to the so what of 18 00:00:40.170 --> 00:00:41.310 what it means to my business or my 19 00:00:41.310 --> 00:00:43.410 mission to get to the now what? 20 00:00:43.410 --> 00:00:46.830 And then we try to put some context to, okay, 21 00:00:46.830 --> 00:00:50.790 the future is more predictable than it might feel 22 00:00:50.790 --> 00:00:53.490 and there's enough that we have confidence 23 00:00:53.490 --> 00:00:55.290 that say there's investment you can 24 00:00:55.290 --> 00:00:58.290 and should make now, not for technology's sake, 25 00:00:58.290 --> 00:01:00.840 but for real value impacts. 26 00:01:00.840 --> 00:01:04.050 And then trying to put some sense of urgency, 27 00:01:04.050 --> 00:01:05.050 - Right? 28 00:01:05.050 --> 00:01:07.860 - So how do you instill that urgency on these big technology 29 00:01:07.860 --> 00:01:10.770 investments because the market isn't waiting? 30 00:01:10.770 --> 00:01:13.560 - How have you seen AI transform businesses so far 31 00:01:13.560 --> 00:01:15.000 - For this year's Tech trends report, 32 00:01:15.000 --> 00:01:18.240 we put the emphasis on AI is everywhere 33 00:01:18.240 --> 00:01:20.100 and there's a.dot.to say, 34 00:01:20.100 --> 00:01:24.090 and it's being embedded into other really important advances 35 00:01:24.090 --> 00:01:26.700 in developments that you also have to consider. 36 00:01:26.700 --> 00:01:30.450 PS a lot of those advances are also being driven by ai, 37 00:01:30.450 --> 00:01:32.430 so it's a really exciting time. 38 00:01:32.430 --> 00:01:35.550 - When we talk about companies embedding ai, what do you see 39 00:01:35.550 --> 00:01:37.530 as the most successful companies doing 40 00:01:37.530 --> 00:01:38.880 to make it work for them? 41 00:01:38.880 --> 00:01:41.400 - Yeah. One, one bit is to say we need to invest. 42 00:01:41.400 --> 00:01:45.900 So we have the backbone to harness and unleash AI over time. 43 00:01:45.900 --> 00:01:48.240 So there's a great example in the report about Google 44 00:01:48.240 --> 00:01:49.800 and all the investment they're doing in their own 45 00:01:49.800 --> 00:01:51.030 engineering teams. 46 00:01:51.030 --> 00:01:52.860 So of course they're investing in some of the tools 47 00:01:52.860 --> 00:01:54.090 that our clients are using, 48 00:01:54.090 --> 00:01:55.620 but they're also using it 49 00:01:55.620 --> 00:01:58.440 to drive really important efficiency gains within their 50 00:01:58.440 --> 00:02:00.290 own engineering shop. 51 00:02:00.290 --> 00:02:02.400 So this idea, how do we treat that as a discipline? 52 00:02:02.400 --> 00:02:05.400 We know we need more, we need, we know that 53 00:02:05.400 --> 00:02:07.290 technology is only gonna continue to advance. 54 00:02:07.290 --> 00:02:10.470 Is that how we make that a, a muscle that we grow? 55 00:02:10.470 --> 00:02:14.040 You know, while being really creative about all the ways 56 00:02:14.040 --> 00:02:16.890 that AI can be embedded in our business. 57 00:02:16.890 --> 00:02:19.020 - One of the things the report talks about is sort 58 00:02:19.020 --> 00:02:21.390 of balancing these new technologies, 59 00:02:21.390 --> 00:02:23.850 these emerging technologies with the mature technologies. 60 00:02:23.850 --> 00:02:25.440 Can you talk a little bit about why 61 00:02:25.440 --> 00:02:27.450 that balance is important and what that looks like in 62 00:02:27.450 --> 00:02:28.450 - Practice? 63 00:02:28.450 --> 00:02:29.283 Yeah. And we'd like to put on this umbrella 64 00:02:29.283 --> 00:02:32.220 of core modernization, which doesn't quicken your pulse. 65 00:02:32.220 --> 00:02:34.710 Maybe you know, here, here we are an AI factor, 66 00:02:34.710 --> 00:02:36.120 but the reality is, like you said, 67 00:02:36.120 --> 00:02:39.720 so much investment over the years are in the existing 68 00:02:39.720 --> 00:02:41.610 infrastructure applications, all the things 69 00:02:41.610 --> 00:02:44.340 that run business and government today and it's not going 70 00:02:44.340 --> 00:02:45.340 - Away. 71 00:02:45.340 --> 00:02:48.750 - The beauty is can we embed AI into some 72 00:02:48.750 --> 00:02:50.490 of those core processes? 73 00:02:50.490 --> 00:02:53.670 So we have Graybar a global distributor in the report 74 00:02:53.670 --> 00:02:56.190 and how they've taken not just, Hey, 75 00:02:56.190 --> 00:02:58.960 how do we think about surrounding our existing ERP 76 00:02:58.960 --> 00:03:00.820 and try to squeeze more life out of it? 77 00:03:00.820 --> 00:03:02.380 That's the old way to do it. 78 00:03:02.380 --> 00:03:04.630 They're saying, how do we embed AI in 79 00:03:04.630 --> 00:03:07.240 how our people write quotes for their customers? 80 00:03:07.240 --> 00:03:10.120 Or how do we embed AI into the customer service routine? 81 00:03:10.120 --> 00:03:13.810 And so this line between the core being the back office 82 00:03:13.810 --> 00:03:16.630 and system of record, which has been the historical, 83 00:03:16.630 --> 00:03:18.490 like we're seeing it blend the line 84 00:03:18.490 --> 00:03:21.130 to say they could be systems of innovation, 85 00:03:21.970 --> 00:03:25.120 but we gotta treat 'em different than we have in the past. 86 00:03:25.120 --> 00:03:27.460 - Another thing that you mentioned in the report is spatial 87 00:03:27.460 --> 00:03:30.520 computing and how that's being accelerated by ai. 88 00:03:30.520 --> 00:03:32.650 Can you tell me a little bit about what that is, 89 00:03:32.650 --> 00:03:34.870 how it's being implemented and what it's future is? 90 00:03:34.870 --> 00:03:36.880 - Sure. The net of it is how do we take the real world 91 00:03:36.880 --> 00:03:38.500 and the digital world and bring them together? 92 00:03:38.500 --> 00:03:42.010 And when we do it, not enough organizations have the actual 93 00:03:42.010 --> 00:03:45.250 digital assets and contents, you know, 94 00:03:45.250 --> 00:03:46.810 and it has to be really precise 95 00:03:46.810 --> 00:03:48.970 'cause we're talking about simulating 96 00:03:48.970 --> 00:03:50.770 operations in a hospital floor. 97 00:03:50.770 --> 00:03:53.320 We're talking about modeling new construction 98 00:03:53.320 --> 00:03:56.860 for an energy company that can't be kind of right. 99 00:03:56.860 --> 00:03:58.090 It has to be exactly right. 100 00:03:58.090 --> 00:03:59.890 - Right. - And then how do you have that bring 101 00:03:59.890 --> 00:04:02.560 to life in new ways that people can experience it? 102 00:04:02.560 --> 00:04:06.190 So typically folks think immediately to augmented reality 103 00:04:06.190 --> 00:04:09.250 and virtual reality, which is important, is a piece of this, 104 00:04:09.250 --> 00:04:11.680 but it could be as simple as we wanna bring a, 105 00:04:11.680 --> 00:04:16.120 a real life model of our operations, bring it 106 00:04:16.120 --> 00:04:17.200 to life on a tablet 107 00:04:17.200 --> 00:04:20.080 or a, you know, not very exciting screen, 108 00:04:20.080 --> 00:04:21.190 but layer in AI 109 00:04:21.190 --> 00:04:24.340 to bring new insights on how we can do it better.