WEBVTT 00:00:00.520 --> 00:00:07.160 GenAI is about to democratize the power of technology, especially in organizations. 00:00:07.240 --> 00:00:11.840 GenAI impacts everybody and it's going to have a profound impact 00:00:11.840 --> 00:00:20.680 on the knowledge economy as we know it. 00:00:20.760 --> 00:00:23.640 We're going to see fundamental redesigns of the work 00:00:23.640 --> 00:00:27.400 that people are asked to do, and that will come through reimagining 00:00:27.400 --> 00:00:31.800 activities, functions and operating models at every level. 00:00:31.800 --> 00:00:36.880 In addition to new roles such as LLM data engineers or A.I. 00:00:36.880 --> 00:00:41.680 ethics officers, the broad spectrum of skills that everyone is going to need 00:00:41.920 --> 00:00:47.160 will be fundamentally enhanced: everything from much better business judgment 00:00:47.160 --> 00:00:52.840 and acumen to much greater understanding of technology more broadly. 00:00:52.920 --> 00:00:57.120 It's also going to mean greater awareness of things like responsible 00:00:57.360 --> 00:01:01.960 AI and bias in the context of technology tools. 00:01:02.040 --> 00:01:04.080 The change starts at the top. 00:01:04.080 --> 00:01:06.760 Many C-suite executives will need to acquire 00:01:06.760 --> 00:01:11.120 foundational skillsets in GenAI to lead in this new world. 00:01:11.200 --> 00:01:15.640 So look to expand the possibilities, because GenAI is democratized 00:01:15.720 --> 00:01:18.920 - everybody will be getting increased productivity. 00:01:19.000 --> 00:01:23.680 To gain competitive advantage, you need to invest in proprietary data, 00:01:23.760 --> 00:01:27.040 proprietary systems, and ways of working that unlock 00:01:27.040 --> 00:01:30.840 unique positioning and create value in your sector. 00:01:30.920 --> 00:01:34.520 Everybody is worried about implicit bias in data sources. 00:01:34.600 --> 00:01:39.520 The reality is by reimagining the workflow, you can get ahead of bias 00:01:39.600 --> 00:01:42.480 by putting in place checks, nudges, questions 00:01:42.480 --> 00:01:45.880 that people have to ask, data that they have to assemble. 00:01:45.960 --> 00:01:49.000 You can be on the forefront of confronting bias rather 00:01:49.000 --> 00:01:51.320 than simply responding to concerns about it. 00:01:51.320 --> 00:01:54.560 So, get ready for this wave of change. 00:01:54.640 --> 00:01:59.640 A foundational understanding of Gen AI among your key leaders is vital. 00:01:59.720 --> 00:02:03.040 So If you don't have that, it's going to be really hard for them 00:02:03.040 --> 00:02:04.200 to make good decisions. 00:02:04.200 --> 00:02:09.600 Then, think from an industry and sector perspective about the biggest value pools 00:02:09.600 --> 00:02:12.520 that can be unlocked by the application of Gen AI. 00:02:12.520 --> 00:02:17.160 Where can you reimagine your organization to differentiate yourself 00:02:17.240 --> 00:02:20.800 relative to your competitors? That is the key question.