1 00:00:02,360 --> 00:00:02,920 Hi guys. 2 00:00:02,920 --> 00:00:03,880 Welcome to this session. 3 00:00:03,880 --> 00:00:09,160 So in this session we're going to talk about how we are going to do assessing of AI business readiness 4 00:00:09,160 --> 00:00:13,760 for any business to apply AI technology how ready they are. 5 00:00:13,800 --> 00:00:15,320 So that is what we want to see. 6 00:00:15,360 --> 00:00:21,440 With the help of some frameworks and criterias, we can assess whether a particular business is ready 7 00:00:21,440 --> 00:00:24,320 for the AI technology usage or not. 8 00:00:24,520 --> 00:00:30,400 So in this, the first framework we are going to use is AI ready framework for SME small medium businesses. 9 00:00:30,400 --> 00:00:36,120 This is going to be where you can set up review business goals and key players defining the objectives 10 00:00:36,120 --> 00:00:41,640 of the AI, which is automation, customer engagement, identifying the stakeholders departments to 11 00:00:41,680 --> 00:00:43,120 lead these initiatives. 12 00:00:43,280 --> 00:00:46,680 Then we're going to look at how to evaluate data technology and skills. 13 00:00:46,680 --> 00:00:50,960 In this, you're going to assess the data quality, organization and accessibility. 14 00:00:51,160 --> 00:00:58,000 Ensure the systems are compatible with the AI tools, identifying any type of skill gaps or plans for 15 00:00:58,040 --> 00:00:59,320 any training if needed. 16 00:00:59,560 --> 00:01:04,470 Also, we're going to see we're going to assess the processes for AI and automation. 17 00:01:04,470 --> 00:01:10,150 So pinpointing repetitive and time consuming tasks for AI optimization which you can do. 18 00:01:10,310 --> 00:01:13,670 Look for areas where AI can be enhanced. 19 00:01:13,710 --> 00:01:18,070 Decision making helps in enhancing decision making or customer experiences. 20 00:01:18,550 --> 00:01:23,990 Also in this, we're going to also look at determining the risks and resources address any type of data 21 00:01:23,990 --> 00:01:27,070 privacy security concerns which we may have. 22 00:01:27,310 --> 00:01:31,870 Evaluate any type of budget, time and personal needs for these AI projects. 23 00:01:32,150 --> 00:01:35,590 Also mapping out our AI integration plan. 24 00:01:35,630 --> 00:01:41,550 So we need to create a complete roadmap with clear timelines, milestones, and success metrics. 25 00:01:41,550 --> 00:01:47,230 So this can be one framework which a small medium businesses can apply for large businesses. 26 00:01:47,230 --> 00:01:53,350 There is Deloitte's framework which is AI, RMF which which is AI Readiness and management framework. 27 00:01:53,670 --> 00:01:56,430 Here we're going to look at AI strategy and governance. 28 00:01:56,430 --> 00:02:01,830 So where are we going to define the vision and governance to align AI with business goals. 29 00:02:01,990 --> 00:02:07,540 Then we're going to look at data readiness, which is to ensure high quality, accessible data as the 30 00:02:07,540 --> 00:02:08,300 foundation. 31 00:02:08,700 --> 00:02:14,780 Then AI application and solutions to develop and implement AI models tailored to business needs. 32 00:02:14,980 --> 00:02:17,780 We are going to also see AI enabled workforce. 33 00:02:17,780 --> 00:02:22,660 So we need to train and equip employees to collaborate with AI tools effectively. 34 00:02:23,140 --> 00:02:27,900 Also in this we're going to see scalable AI infrastructure and platforms. 35 00:02:27,900 --> 00:02:34,340 So we are going to build build systems to support AI deployment and growth, trustworthiness, security 36 00:02:34,340 --> 00:02:35,380 and risk management. 37 00:02:35,380 --> 00:02:40,100 So prioritizing ethics privacy, security in AI applications. 38 00:02:40,500 --> 00:02:43,420 Then we have AI delivery and operations. 39 00:02:43,420 --> 00:02:48,100 So basically to streamline the scaling and maintenance of AI solutions. 40 00:02:48,340 --> 00:02:55,740 And finally customer and user experience to enhance user adoption with human centered design. 41 00:02:56,140 --> 00:03:03,580 So this is going to be the framework which we can use for our large customers specifically. 42 00:03:03,850 --> 00:03:08,130 Also, in addition to this, you can also look at AI sourcing and vendor management. 43 00:03:08,130 --> 00:03:12,530 So developing strategies for procuring and managing AI partnerships. 44 00:03:12,570 --> 00:03:14,450 Exploration and innovation. 45 00:03:14,450 --> 00:03:19,890 So which is where you identify and test new AI opportunities and applications. 46 00:03:20,490 --> 00:03:27,450 Now if you look at both the AI Readiness overview in AI ready framework for SMEs, it's a straightforward 47 00:03:27,450 --> 00:03:32,930 approach which basically evaluates goals, data, technology, and team capabilities. 48 00:03:33,090 --> 00:03:39,730 It identifies processes for AI driven improvements, whereas the Deloitte AI, RMF. 49 00:03:39,730 --> 00:03:46,130 For large organizations, it's a comprehensive framework combining technical readiness, strategy, 50 00:03:46,170 --> 00:03:47,970 ethics and scalability. 51 00:03:48,290 --> 00:03:54,890 So the next steps would be that you go ahead and review your organization's readiness using these frameworks, 52 00:03:55,050 --> 00:04:01,850 and then gain clarity around your current stage where you are, and determine the best course of action 53 00:04:01,850 --> 00:04:03,370 for your AI strategy.