{"id":618,"date":"2024-04-10T07:30:58","date_gmt":"2024-04-10T07:30:58","guid":{"rendered":"https:\/\/beta74.thewebsitepreview.com\/wavicle\/dev\/?p=618"},"modified":"2025-11-17T04:36:14","modified_gmt":"2025-11-17T04:36:14","slug":"expert-insights-transformative-ai-strategies-measuring-roi","status":"publish","type":"post","link":"https:\/\/beta74.thewebsitepreview.com\/wavicle\/dev\/blog\/expert-insights-transformative-ai-strategies-measuring-roi\/","title":{"rendered":"Expert Insights on Transformative AI Strategies and Measuring Their ROI"},"content":{"rendered":"<p><span data-contrast=\"auto\">In a recent CDO magazine interview, Sue Pittacora, Chief Strategy Officer at Wavicle Data Solutions, and Himanshu Arora, Chief Data and Analytics Officer of Blue Cross Blue Shield of Massachusetts, sat down for an in-depth discussion of prominent AI use cases in the healthcare industry, the challenges they present, and how organizations can effectively prioritize key AI applications.\u00a0<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:279}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">Throughout the discussion, you can explore how AI innovations are transforming healthcare, empowering organizations to navigate the evolving business landscape with confidence.\u00a0<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:279}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">Watch the full interview here or scroll down for a detailed transcript of Himanshu\u2019s insights.<\/span><\/p>\n<p><iframe loading=\"lazy\" title=\"PHI Is Both a Blessing and a Challenge With Gen AI \u2014 BCBS Massachusetts CDAO\" src=\"https:\/\/www.youtube.com\/embed\/JlNUcxNeJnY\" width=\"914\" height=\"514\" frameborder=\"0\" allowfullscreen=\"allowfullscreen\" data-mce-fragment=\"1\"><\/iframe><\/p>\n<p><b><i><span data-contrast=\"auto\">Sue:<\/span><\/i><\/b><i><span data-contrast=\"auto\"> Hello, and welcome to the CDO Magazine interview series. I am Sue Pittacora, with Wavicle Data Solutions, and I am delighted to be joined here today by Himanshu Arora, Chief Data and Analytics Officer of Blue Cross Blue Shield of Massachusetts. Welcome, Himanshu.<\/span><\/i><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:279}\">\u00a0<\/span><\/p>\n<p><b><i><span data-contrast=\"auto\">Himanshu: <\/span><\/i><\/b><i><span data-contrast=\"auto\">Thank you, Sue. It\u2019s good to be here and good to see you. <\/span><\/i><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:279}\">\u00a0<\/span><\/p>\n<p><b><i><span data-contrast=\"auto\">Sue: <\/span><\/i><\/b><i><span data-contrast=\"auto\">Thank you. Himanshu, w<\/span><\/i><i><span data-contrast=\"auto\">e know organizations everywhere are eager to use AI and advanced analytics and new tools, but they&#8217;re really grappling with how to get their data ready and what is the right strategy for this. So, let&#8217;s jump right in.<\/span><\/i><\/p>\n<h2 aria-level=\"2\"><span data-contrast=\"none\">What are some of the innovative use cases you have seen for AI over the past year? <\/span><span data-ccp-props=\"{&quot;134245418&quot;:true,&quot;134245529&quot;:true,&quot;201341983&quot;:0,&quot;335559738&quot;:160,&quot;335559739&quot;:80,&quot;335559740&quot;:279}\">\u00a0<\/span><\/h2>\n<p><b><i><span data-contrast=\"auto\">Himanshu:<\/span><\/i><\/b><i><span data-contrast=\"auto\"> Before we jump into the specific use cases, I think one framing I like to use is this idea that I borrowed from Gartner. It is around everyday AI versus game-changing AI and internal-facing, as in those capabilities that are more internally available to our associates and employees, versus external-facing capabilities that are targeted towards our customers, consumers, and anybody who engages from the outside with the company.\u00a0<\/span><\/i><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:279}\">\u00a0<\/span><\/p>\n<p><i><span data-contrast=\"auto\">So, when you start to look at things at that scale, I think there is a lot of excitement about the game-changing AI capabilities, particularly in healthcare. When we look at healthcare, in my opinion, it has a couple of additional layers of complexity, in terms of the players involved \u2013 there are health insurers, care providers, pharmaceuticals, labs, and durable equipment manufacturers, so multiple sub-sectors within must work together \u2013 and to bring anything game-changing to life, it means that more than one component of the sector must adapt to that.<\/span><\/i><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:279}\">\u00a0<\/span><\/p>\n<p><i><span data-contrast=\"auto\">The moment we start to look at healthcare and particularly the health aspect of it, something that comes into pronounced relief is PHI, right? We all value our health information, our data, privacy, and the security that goes with it. When we look at AI more broadly, but particularly generative AI, which has been all the rage over the last year plus, PHI can be a blessing but also something that must be dealt with differently.\u00a0<\/span><\/i><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:279}\">\u00a0<\/span><\/p>\n<p><i><span data-contrast=\"auto\">A blessing in that there is so much knowledge embedded, and untapped knowledge embedded, within the health data. It can really be game changing, but it\u2019s challenging because security and privacy aspects of it must be kept in mind first and foremost, and there&#8217;s a lot of regulatory development on this front, which is welcomed. There is a lot of consumer excitement, but also consumer concern on this front, which is also understandable. So, you know, there&#8217;s that two-by-two framework, the additional complexity.\u202f <\/span><\/i><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:279}\">\u00a0<\/span><\/p>\n<p><i><span data-contrast=\"auto\">When I think about where does AI begin to show up for a single-state, not-for-profit, mission-driven, health insurer like us, our thinking is that these capabilities will start to show up in an internal-facing way. Then over time as we develop confidence with them and the broader ecosystem that we engage with demonstrates readiness, we start to make these capabilities much more available in engaging directly with our customers.\u00a0<\/span><\/i><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:279}\">\u00a0<\/span><\/p>\n<p><i><span data-contrast=\"auto\">But there are things at the cusp of this and use cases that are at the cusp that I&#8217;ll talk about, but purely internal facing. There are things like how we manage the security and privacy of our data and there are AI capabilities that can be applied there, even generative to a certain extent.<\/span><\/i><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:279}\">\u00a0<\/span><\/p>\n<p><i><span data-contrast=\"auto\">Plus anywhere there is knowledge encapsulation internally. As you can imagine, many of our associates spend time and energy answering questions based off a knowledge compendium. Whether it&#8217;s a\u202fbenefit detail, a plan detail, or a combination of\u202fthose aspects versus customer service. For example, a member has experienced and has contacted us with issues they have contacted us about before.<\/span><\/i><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:279}\">\u00a0<\/span><\/p>\n<p><i><span data-contrast=\"auto\">I think that&#8217;s one area where we start to say, \u201cokay, can we figure out ways?\u201d And that&#8217;s what we&#8217;re actively pursuing. As well as, can we figure out ways to bring ourselves into the generative AI world while still being clear of PHI as being the major contributing portion of it.\u202f Then we look at some other capabilities which are about a lot of internal processes which are highly dependent on knowledge encapsulation,\u202fbut then reworking similar paths around knowledge.\u00a0<\/span><\/i><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:279}\">\u00a0<\/span><\/p>\n<p><i><span data-contrast=\"auto\">So, our legal processes and procurement processes are processes that will have the potential to benefit from things like generative AI.\u202f The thing that we\u2019re trying to solve for right now is how do we engage with these large language models in a cost-efficient way so that we can use them to drive ROIs, which can reflect affordability for our members?\u202f\u00a0<\/span><\/i><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:1,&quot;335551620&quot;:1,&quot;335559685&quot;:0,&quot;335559737&quot;:0,&quot;335559738&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:279}\">\u00a0<\/span><\/p>\n<p><i><span data-contrast=\"auto\">But at the same time, do so in a way where the data that we&#8217;re utilizing isn&#8217;t fully exposed to the LLMs in the first place. And we&#8217;ve all seen, again, this is very early days, so it&#8217;s not fully\u202funanticipated or unexpected, but we&#8217;ve all seen incidents of companies or employees using these capabilities in a way which ended up inadvertently exposing the data that wasn&#8217;t meant to be exposed in some way, shape, or form.\u00a0<\/span><\/i><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:279}\">\u00a0<\/span><\/p>\n<p><i><span data-contrast=\"auto\">That\u2019s still a space where there is more caution, as there should be.\u202f But the excitement of how we can push on this and how soon we can do it remains very apparent.\u202f As we start to figure those things out, what are engagement models with LLMs, for example, are we and others like us taking\u202finstances of LLMs that exist out there, instantiating them on our infrastructure, running them on our GPUs and therefore, able to engage with an LLM fully without concern of data going out? The compromises you make there is, well, the parent LLM is advancing at a speed that you then are sort of stepped back from. There&#8217;s a separation that happens there.\u202fOr are there methods like vectorization context setting that can be applied instead of raw data when engaging with a foundational LLM? Whether it&#8217;s Lambda, Open AI, Chat GPT, or Gemini, to still protect the data but get the benefit from the large language models in the <\/span><\/i><a href=\"https:\/\/wavicledata.com\/blog\/turbocharging-voc-analytics-generative-ai\/\" target=\"_blank\" rel=\"noopener\"><i><span data-contrast=\"none\">generative AI<\/span><\/i><\/a><i><span data-contrast=\"auto\"> front.\u00a0<\/span><\/i><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:279}\">\u00a0<\/span><\/p>\n<p><i><span data-contrast=\"auto\">Like I said, generative AI is all the rage, but there&#8217;s all previous aspects, which\u00a0seem a little bit legacy now, but they&#8217;re not that old in terms of how long they&#8217;ve been around. With machine learning, deep learning, natural language processing, and use cases that sit on that side of the house. The difference is\u202finstantiation of those capabilities is comparatively easier done behind a firewall and therefore protecting PHI and PII and related data becomes easier.\u00a0<\/span><\/i><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:279}\">\u00a0<\/span><\/p>\n<p><i><span data-contrast=\"auto\">And that&#8217;s the difference we are experiencing, at least right now, between generative and everything non-generative.\u202f<\/span><\/i><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:279}\">\u00a0<\/span><\/p>\n<p><b><i><span data-contrast=\"auto\">Sue: <\/span><\/i><\/b><i><span data-contrast=\"auto\">I love your thinking about starting internally versus externally and getting your arms around what are the right use cases and how do you protect PHI and these other things that really have to focus on data security and data privacy. Even more so in the healthcare industry than in other industries.<\/span><\/i><\/p>\n<h2 aria-level=\"2\"><span data-contrast=\"none\">Do you have specific ideas in mind for the healthcare industry of where you might start, specifically with AI use cases?<\/span><span data-ccp-props=\"{&quot;134245418&quot;:true,&quot;134245529&quot;:true,&quot;201341983&quot;:0,&quot;335559738&quot;:160,&quot;335559739&quot;:80,&quot;335559740&quot;:279}\">\u00a0<\/span><\/h2>\n<p><b><i><span data-contrast=\"auto\">Himanshu:<\/span><\/i><\/b><i><span data-contrast=\"auto\"> Internally, when we look at how our associates are\u202fbuilding up their own knowledge bases and how much\u202ftraining they are requiring up front, for example, especially for forward-facing or member-facing functions like call centers, there&#8217;s definitely a use case or two.\u202f\u00a0<\/span><\/i><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:279}\">\u00a0<\/span><\/p>\n<p><i><span data-contrast=\"auto\">That is: What must you\u202ftrain a new employee on from the ground up? Versus where can we stand up \u2013 and this is not Microsoft copilot, but the concept of copilot \u2013 copilot-related tools? Where they have an active assistant that&#8217;s available to them. So even as they&#8217;re on the phone with someone trying to answer a question, or even on\u202fa representative-assisted chat, they have a knowledge compendium that they can rely on.\u00a0<\/span><\/i><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:279}\">\u00a0<\/span><\/p>\n<p><i><span data-contrast=\"auto\">Right now, there\u2019s that person in the middle of your will is a\u202ffail-safe\u202fpoint for making sure that any inadvertent, for example, hallucinations or other concerns that happened with these LLMs, don\u2019t directly pass forward. That&#8217;s one area. I think there are a couple of areas that we&#8217;re trying to play around with.<\/span><\/i><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:279}\">\u00a0<\/span><\/p>\n<p><i><span data-contrast=\"auto\">One is this idea of benefits.\u00a0Benefits in healthcare can be pretty involved and complex to understand.\u202f There are baseline benefits that we have as part of our baseline plans, but many employers, in the interest of providing more exceptional, more differentiated healthcare services to their employees, also have variations on top of them.<\/span><\/i><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:279}\">\u00a0<\/span><\/p>\n<p><i><span data-contrast=\"auto\">If you&#8217;re a customer service representative, and you&#8217;re getting a question from an employee about whether this benefit is covered or not, or what are the boundaries around it that they should understand, it can be a pretty long conversation, or it can be a conversation which can involve periods of short conversations, long hold times, more short conversations, and long hold times.<\/span><\/i><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:279}\">\u00a0<\/span><\/p>\n<p><i><span data-contrast=\"auto\">So, the experience part and the background metrics part of it from our perspective can be very challenging. So that&#8217;s one area for us to say, okay, can we overlay our benefits design packages and internal benefits design?\u00a0<\/span><\/i><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:279}\">\u00a0<\/span><\/p>\n<p><i><span data-contrast=\"auto\">Again, there&#8217;s no member PHI in here yet.\u00a0These are generic. Even in cases of specialized benefit designs, they do not have any member&#8217;s PHI or PII in there. That is handled separately outside. So, the representative should be able to leverage this and ask questions and get answers in a way that can then further help them assess the members clearly and coherently.\u00a0 <\/span><\/i><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:279}\">\u00a0<\/span><\/p>\n<p><i><span data-contrast=\"auto\">Healthcare, as an ecosystem, is increasingly dependent on mutual entities relying on each other. Vendors, right? Or the common terminology that&#8217;s used: business partners. Data exchange between business partners to push your business process forward is an increasingly more treaded path in terms of how companies engage with each other.\u202f<\/span><\/i><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:279}\">\u00a0<\/span><\/p>\n<p><i><span data-contrast=\"auto\">Anytime you <\/span><\/i><a href=\"https:\/\/info.wavicledata.com\/data-strategy-guide\" target=\"_blank\" rel=\"noopener\"><i><span data-contrast=\"none\">bring data into the picture\u202f<\/span><\/i><\/a><i><span data-contrast=\"auto\">and services on top of it, legal procurement processes tend to become complicated and involved. So, one of the areas we&#8217;re looking at is how to speed up\u202fthe procurement processes, entity engagement processes, and legal reviews. Again, this is a lot of information where there is either repetition or a look back to a knowledge compendium naturally that might happen. So again, there&#8217;s no <\/span><\/i><a href=\"https:\/\/wavicledata.com\/accelerator-solutions\/ezsecure\/\" target=\"_blank\" rel=\"noopener\"><i><span data-contrast=\"none\">PHI<\/span><\/i><\/a><i><span data-contrast=\"auto\"> or PII in any of this, but there is business confidential information. There&#8217;s business proprietary information still that must be protected. But we have more freedom to figure out how to engage with these large language models.\u202f\u00a0<\/span><\/i><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:279}\">\u00a0<\/span><\/p>\n<p><i><span data-contrast=\"auto\">So those are a couple of examples which seem pretty conservative, but the idea is we need to get sea legs under us and learn from a couple of use cases because we&#8217;ve all seen on the other side, there&#8217;s been missteps when chatbots have taken a life of their own.\u00a0<\/span><\/i><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:279}\">\u00a0<\/span><\/p>\n<p><b><i><span data-contrast=\"auto\">Sue:<\/span><\/i><\/b><i><span data-contrast=\"auto\"> Yes, and I\u2019ve heard more and more people, or companies, are resistant to chatbots right now because of what has happened in the past and customers that are resistant. So now, we have to retrain our customers\u00a0to help them understand that\u00a0chatbots are more intelligent now than they were a few years ago. <\/span><\/i><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:279}\">\u00a0<\/span><\/p>\n<p><i><span data-contrast=\"auto\">I love what you said as you talked about helping improve the process for training employees as well as improving the procurement process, working with vendors, smoothing out the legal process, and those sorts of things. A lot of that relates to business process efficiency.<\/span><\/i><\/p>\n<h2 aria-level=\"2\"><span data-contrast=\"none\">How are you planning to measure the effectiveness and ROI of your initiatives as you move forward?<\/span><span data-ccp-props=\"{&quot;134245418&quot;:true,&quot;134245529&quot;:true,&quot;201341983&quot;:0,&quot;335559738&quot;:160,&quot;335559739&quot;:80,&quot;335559740&quot;:279}\">\u00a0<\/span><\/h2>\n<p><b><i><span data-contrast=\"auto\">Himanshu:<\/span><\/i><\/b><i><span data-contrast=\"auto\"> Some of it is a pull forward from how we have measured the impact on the effectiveness of\u202finnovative capabilities like advanced analytics, data science, machine learning, etc.\u202f\u00a0<\/span><\/i><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:279}\">\u00a0<\/span><\/p>\n<p><i><span data-contrast=\"auto\">Some of it is still under development, as it is unique to when we talk AI, but particularly generative AI. If we really step back two or three steps, the reason for there being a two-level problem to solve for there is\u202fthat when we go back and look at previous revolutions, whether it&#8217;s around the advent of internet, the move to desktops, the move to mobile,\u202for even Web 2.0, they have primarily been about creating efficient frontiers from a task work breakdown structure perspective. Therefore, the attribution from an efficiency perspective\u202fcan be much more at the task level. Then the ROI that a task produces, whether it&#8217;s fraud prevention, better clinical care, health outcomes, higher revenues or sales, you measure the two parts: what is the work breakdown structure efficiency and what is the business outcome that I&#8217;m driving on top of it?\u202f When we are thinking now about generative, what we are doing differently here, and it is still in a developing frontier, is that efficiency moves now to knowledge efficiency.<\/span><\/i><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:279}\">\u00a0<\/span><\/p>\n<p><i><span data-contrast=\"auto\">It&#8217;s the first time we are primarily focused on encapsulating and streamlining the knowledge component.\u202f And now, how do you value knowledge?\u202f How do you value encapsulating knowledge in a way that goes beyond just efficiency but does contribute to business outcomes?\u00a0<\/span><\/i><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:279}\">\u00a0<\/span><\/p>\n<p><i><span data-contrast=\"auto\">The traditional measurement framework that we are using, we are pulling it forward. It\u00a0is hardwired into business goals and outcomes in compliance in line with the business plan.\u202f We look at,\u00a0from an adoption and usability perspective, how far, how wide, and how deep are these solutions being adopted within the company. That&#8217;s another set of measures. The third is the internal measures around how we are improving the capability step by step over any period of time. So, if my team and I can get a unit of work done with\u202ften units today, it needs to go to eight to six to four to continually become efficient internally over time as well. But that knowledge encapsulation piece, and how we value that, is still TBD. It&#8217;s going to take some playing around with that.\u00a0<\/span><\/i><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:279}\">\u00a0<\/span><\/p>\n<p><i><span data-contrast=\"auto\">If our audience and viewers have ideas around that, I\u2019m all ears. I\u2019m looking to learn.\u00a0<\/span><\/i><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:279}\">\u00a0<\/span><\/p>\n<p><b><i><span data-contrast=\"auto\">Sue:<\/span><\/i><\/b><i><span data-contrast=\"auto\"> Himanshu, thank you so much. You shared so many insights today from thinking about game-changing AI innovations, looking at an internal framework, de-biasing the data, using AI for recovery and data breaches potentially. There were a lot of rich insights. Thank you so much for your time today. To all, please visit <\/span><\/i><a href=\"http:\/\/cdomagazine.tech\/\" target=\"_blank\" rel=\"noopener\"><i><span data-contrast=\"none\">cdomagazine.tech<\/span><\/i><\/a><i><span data-contrast=\"auto\"> for additional interviews. <\/span><\/i><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:279}\">\u00a0<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:279}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">This is the first part of a two-part interview with Himanshu Arora covering pressing data, analytics, and AI topics. Stay tuned for the release of the second part, coming soon, or read more of our <\/span><a href=\"https:\/\/wavicledata.com\/topic\/healthcare\/\" target=\"_blank\" rel=\"noopener\"><span data-contrast=\"none\">healthcare thought leadership here<\/span><\/a><span data-contrast=\"auto\">.\u00a0<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:279}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">Ready to get started on your AI journey? <\/span><a href=\"https:\/\/wavicledata.com\/contact\/\" target=\"_blank\" rel=\"noopener\"><span data-contrast=\"none\">Get in touch<\/span><\/a><span data-contrast=\"auto\"> with Wavicle\u2019s experts.<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:279}\">\u00a0<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>In a recent CDO magazine interview, Sue Pittacora, Chief Strategy Officer at Wavicle Data Solutions, and Himanshu Arora, Chief Data and Analytics Officer of Blue Cross Blue Shield of Massachusetts, sat down for an in-depth discussion of prominent AI use cases in the healthcare industry, the challenges they present, and how organizations can effectively prioritize&hellip; <a class=\"more-link\" href=\"https:\/\/beta74.thewebsitepreview.com\/wavicle\/dev\/blog\/expert-insights-transformative-ai-strategies-measuring-roi\/\">Continue reading <span class=\"screen-reader-text\">Expert Insights on Transformative AI Strategies and Measuring Their ROI<\/span><\/a><\/p>\n","protected":false},"author":20,"featured_media":1011,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"inline_featured_image":false,"footnotes":""},"categories":[1],"tags":[5,30,32],"class_list":["post-618","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-blog","tag-advanced-analytics","tag-generative-ai-llm","tag-healthcare","entry"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.0 - 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