{"id":298373,"date":"2024-04-09T06:59:30","date_gmt":"2024-04-09T13:59:30","guid":{"rendered":"https:\/\/www.saastr.com\/?p=298373"},"modified":"2024-04-11T10:43:27","modified_gmt":"2024-04-11T17:43:27","slug":"how-to-accelerate-production-deployment-and-embed-trustworthy-ai-into-commercial-solutions-with-ibm-embeddable-ai-leader-george-kreitler","status":"publish","type":"post","link":"https:\/\/www.saastr.com\/how-to-accelerate-production-deployment-and-embed-trustworthy-ai-into-commercial-solutions-with-ibm-embeddable-ai-leader-george-kreitler\/","title":{"rendered":"How to Accelerate Production Deployment and Embed Trustworthy AI into Commercial Solutions with IBM Embeddable AI Leader George Kreitler"},"content":{"rendered":"<p style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">At SaaStr&#8217;s <a href=\"https:\/\/www.saastr.com\/category\/topics\/ai\/\" target=\"_blank\" rel=\"noopener\">AI<\/a> Day, George Kreitler, Global IBM Embeddable AI Sales Leader, talks about the paradox of AI, three equations that relate to the world productivity and AI, a little math to help guide the next decade, top use cases, and the importance of responsible AI.\u00a0<\/span><\/p>\n<p><iframe title=\"YouTube video player\" data-src=\"https:\/\/www.youtube.com\/embed\/sR9KedZY2ZY?si=XloDfVtiOh4DJfQC\" width=\"560\" height=\"315\" frameborder=\"0\" allowfullscreen=\"allowfullscreen\" src=\"data:image\/gif;base64,R0lGODlhAQABAAAAACH5BAEKAAEALAAAAAABAAEAAAICTAEAOw==\" class=\"lazyload\" data-load-mode=\"1\"><\/iframe><\/p>\n<h2><span style=\"font-weight: 400;\">What Makes Up GDP Growth<\/span><\/h2>\n<p><img data-recalc-dims=\"1\" decoding=\"async\" class=\"alignnone size-medium wp-image-298381 lazyload\" data-src=\"https:\/\/i0.wp.com\/www.saastr.com\/wp-content\/uploads\/2024\/04\/IMG_4981.jpeg?resize=600%2C327&#038;quality=70&#038;ssl=1\" alt=\"\" width=\"600\" height=\"327\" src=\"data:image\/gif;base64,R0lGODlhAQABAAAAACH5BAEKAAEALAAAAAABAAEAAAICTAEAOw==\" style=\"--smush-placeholder-width: 600px; --smush-placeholder-aspect-ratio: 600\/327;\" \/><noscript><img data-recalc-dims=\"1\" decoding=\"async\" class=\"alignnone size-medium wp-image-298381\" src=\"https:\/\/i0.wp.com\/www.saastr.com\/wp-content\/uploads\/2024\/04\/IMG_4981.jpeg?resize=600%2C327&#038;quality=70&#038;ssl=1\" alt=\"\" width=\"600\" height=\"327\" \/><\/noscript><\/p>\n<p><span style=\"font-weight: 400;\">From a macro perspective, different variables affect GDP growth in general:\u00a0<\/span><\/p>\n<p style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">It\u2019s three things.\u00a0<\/span><\/p>\n<ol style=\"font-weight: 400;\">\n<li style=\"font-weight: 400;\"><strong>Population growth<\/strong><\/li>\n<li style=\"font-weight: 400;\"><strong>Productivity growth<\/strong><\/li>\n<li style=\"font-weight: 400;\"><strong>Debt growth<\/strong><\/li>\n<\/ol>\n<p style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">We know that we won\u2019t see population growth until the medium-to-long term. With debt growth, at least for the foreseeable future, that\u2019s not a real catalyst. That leaves one variable we can leverage \u2014 productivity growth.\u00a0<\/span><\/p>\n<p style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">This is a challenge we\u2019ll face over the next few decades, and it\u2019s different from anything we\u2019ve really faced over the past 100 years. As a society, we\u2019ll be very reliant on productivity growth. Why does this matter in the world of AI?\u00a0<\/span><\/p>\n<p style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">A lot of folks are skeptical about AI and what it\u2019ll do as far as displacing workers, how decisions that are AI-driven will be made, and how we know the data underlying those decisions. These are all things we, as a collective, will have to attack head-on.\u00a0<\/span><\/p>\n<p style=\"font-weight: 400;\"><em><span style=\"font-weight: 400;\">Disruption and responsibility must coexist for us to be successful moving forward.\u00a0<\/span><\/em><\/p>\n<p><iframe title=\"Building Successful AI Models: The Power of Data with IBM\" width=\"1080\" height=\"608\" data-src=\"https:\/\/www.youtube.com\/embed\/r5Jz2gamkU0?feature=oembed\"  allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen src=\"data:image\/gif;base64,R0lGODlhAQABAAAAACH5BAEKAAEALAAAAAABAAEAAAICTAEAOw==\" class=\"lazyload\" data-load-mode=\"1\"><\/iframe><\/p>\n<h2><span style=\"font-weight: 400;\">What Makes Up AI Success Today?<br \/>\n<img data-recalc-dims=\"1\" decoding=\"async\" class=\"alignnone size-medium wp-image-298382 lazyload\" data-src=\"https:\/\/i0.wp.com\/www.saastr.com\/wp-content\/uploads\/2024\/04\/IMG_4982.jpeg?resize=600%2C325&#038;quality=70&#038;ssl=1\" alt=\"\" width=\"600\" height=\"325\" src=\"data:image\/gif;base64,R0lGODlhAQABAAAAACH5BAEKAAEALAAAAAABAAEAAAICTAEAOw==\" style=\"--smush-placeholder-width: 600px; --smush-placeholder-aspect-ratio: 600\/325;\" \/><noscript><img data-recalc-dims=\"1\" decoding=\"async\" class=\"alignnone size-medium wp-image-298382\" src=\"https:\/\/i0.wp.com\/www.saastr.com\/wp-content\/uploads\/2024\/04\/IMG_4982.jpeg?resize=600%2C325&#038;quality=70&#038;ssl=1\" alt=\"\" width=\"600\" height=\"325\" \/><\/noscript><br \/>\n<\/span><\/h2>\n<p style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Today, we can build AI models much faster than in the past. At IBM, they fundamentally believe it won\u2019t be one AI model to rule them all. It\u2019ll be a variety of different models fit for a purpose, focused on one specific task that will provide the most value to Enterprises.\u00a0<\/span><\/p>\n<p style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">You also need data for success. If you and your top competitor use the same foundation model, you\u2019re not using any of your own data there, so you don\u2019t have a competitive advantage.\u00a0<\/span><\/p>\n<p style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Data is fundamental to differentiating yourself, and being able to incorporate that into your own AI models will be essential to your own success.\u00a0<\/span><\/p>\n<p style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">With long-term success comes some approach towards governance, which includes data and AI governance. How does this AI come to the decisions that it did? What is the end-to-end life cycle, and how do you know these AI models are operating in a trusted and transparent way?\u00a0<\/span><\/p>\n<p style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Lastly, you need use cases. Not one use case, but as many as possible. That\u2019s where George\u2019s team spends a lot of time, working with partners in various stages of the AI journey and helping them unlock value from AI. That starts with focusing on the right use cases and not just understanding where AI fits but understanding where it may not fit, which is sometimes more important.\u00a0<\/span><\/p>\n<h2><span style=\"font-weight: 400;\">The Current GenAI Stack<\/span><\/h2>\n<p><img data-recalc-dims=\"1\" decoding=\"async\" class=\"alignnone size-medium wp-image-298383 lazyload\" data-src=\"https:\/\/i0.wp.com\/www.saastr.com\/wp-content\/uploads\/2024\/04\/IMG_4983.jpeg?resize=600%2C328&#038;quality=70&#038;ssl=1\" alt=\"\" width=\"600\" height=\"328\" src=\"data:image\/gif;base64,R0lGODlhAQABAAAAACH5BAEKAAEALAAAAAABAAEAAAICTAEAOw==\" style=\"--smush-placeholder-width: 600px; --smush-placeholder-aspect-ratio: 600\/328;\" \/><noscript><img data-recalc-dims=\"1\" decoding=\"async\" class=\"alignnone size-medium wp-image-298383\" src=\"https:\/\/i0.wp.com\/www.saastr.com\/wp-content\/uploads\/2024\/04\/IMG_4983.jpeg?resize=600%2C328&#038;quality=70&#038;ssl=1\" alt=\"\" width=\"600\" height=\"328\" \/><\/noscript><\/p>\n<p style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Putting the models aside, different components make up an overall GenAI stack. Starting with the middle layer, it\u2019s fundamental that there\u2019s some form of AI and data platform. At IBM, they launched Watson X, their approach to an AI and data platform mainly focused on B2B.\u00a0<\/span><\/p>\n<p style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">This platform lets you do all model training, development, deployment, prompt-tuning, and fine-tuning. That end-to-end model lifecycle needs to be done in a governed and transparent way, so you have a full line of sight to explain the ability of models to come to the decisions they make.\u00a0<\/span><\/p>\n<h3><span style=\"font-weight: 400;\">Going Higher Up the Stack<\/span><\/h3>\n<p style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">It\u2019s crucial that you\u2019ve got several different software development kits and APIs that help you embed that AI into specific applications, products, and solutions.\u00a0<\/span><\/p>\n<p style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">One level higher than this, you want to think about fine-tuning and tuning a specific model to address a particular task. These AI assistants are how you interact and solve different tasks leveraging that model, sometimes called assistants or copilots. These copilots are how a majority of the world interacts with AI.\u00a0<\/span><\/p>\n<h3><span style=\"font-weight: 400;\">Going a Level Below<\/span><\/h3>\n<p style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">A lot of Enterprise is about data services that make AI effective or not. Being able to collect, organize, and manage different data you have across the Enterprise will be fundamental. At IBM, they say there\u2019s no AI without IA, some sort of information architecture.\u00a0<\/span><\/p>\n<p style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">If you can\u2019t leverage, analyze, and use all data across the Enterprise, you\u2019re doing a disservice to yourself in the long term.\u00a0<\/span><\/p>\n<p style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Underpinning all of this is a focus on running AI in a hybrid environment. It\u2019s about running it across public and private Cloud and at the edge. Hybrid and AI will continue to be somewhat synonymous moving forward.\u00a0<\/span><\/p>\n<h2><span style=\"font-weight: 400;\">The Top 3 AI Buckets<\/span><\/h2>\n<p><img data-recalc-dims=\"1\" decoding=\"async\" class=\"alignnone size-medium wp-image-298384 lazyload\" data-src=\"https:\/\/i0.wp.com\/www.saastr.com\/wp-content\/uploads\/2024\/04\/IMG_4984.jpeg?resize=600%2C329&#038;quality=70&#038;ssl=1\" alt=\"\" width=\"600\" height=\"329\" src=\"data:image\/gif;base64,R0lGODlhAQABAAAAACH5BAEKAAEALAAAAAABAAEAAAICTAEAOw==\" style=\"--smush-placeholder-width: 600px; --smush-placeholder-aspect-ratio: 600\/329;\" \/><noscript><img data-recalc-dims=\"1\" decoding=\"async\" class=\"alignnone size-medium wp-image-298384\" src=\"https:\/\/i0.wp.com\/www.saastr.com\/wp-content\/uploads\/2024\/04\/IMG_4984.jpeg?resize=600%2C329&#038;quality=70&#038;ssl=1\" alt=\"\" width=\"600\" height=\"329\" \/><\/noscript><\/p>\n<p style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">About 70% of what we see today falls into three categories.\u00a0<\/span><\/p>\n<ol style=\"font-weight: 400;\">\n<li style=\"font-weight: 400;\"><strong>Digital labor<\/strong><\/li>\n<li style=\"font-weight: 400;\"><strong>Customer experience<\/strong><\/li>\n<li style=\"font-weight: 400;\"><strong>App dev and IT ops<\/strong><\/li>\n<\/ol>\n<p style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">If you think about customer experience today, it\u2019s about how to automate a lot of those front-end interactions with different organizations. How do I focus on high frequency, low complexity tasks that AI is particularly good at and let our agents focus on higher value activities?\u00a0<\/span><\/p>\n<p style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Today, agents may be dealing with monotonous tasks daily. It\u2019s tedious and not very fulfilling. AI allows them to focus on higher-value activities.\u00a0<\/span><\/p>\n<p style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Across digital labor, there\u2019s an incredible opportunity to apply AI toward talent and HR, finance, supply chain, and procurement. With IBM, they have internally adopted AI across the entire organization, touching all of these categories.\u00a0<\/span><\/p>\n<p style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">They have AI built into their HR process, handling 94% of requests that are coming in from IBM employees. Digital labor combines AI with automation, not just interacting with a virtual agent but being able to execute and orchestrate different tasks.\u00a0<\/span><\/p>\n<p style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">The last area is around app development and IT ops or, simply put, code. This involves doing app modernization and code generation and being able to translate, generate, and summarize code.\u00a0<\/span><\/p>\n<p style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Today, using IBM\u2019s Watson X platform, about 85% of the time, it provides recommendations to developers around code that the developers accept. It will only get better with time and is an area seeing tremendous growth.\u00a0<\/span><\/p>\n<p style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Again, underpinning all of this is AI governance, being able to design responsible AI where you have explainability across the end-to-end lifecycle and the ability to transform your data so you\u2019re leveraging what is your biggest differentiator: your Enterprise data.\u00a0<\/span><\/p>\n<h2><span style=\"font-weight: 400;\">Two Use Cases: Ovum and CrushBank<\/span><\/h2>\n<p><img data-recalc-dims=\"1\" decoding=\"async\" class=\"alignnone size-medium wp-image-298385 lazyload\" data-src=\"https:\/\/i0.wp.com\/www.saastr.com\/wp-content\/uploads\/2024\/04\/IMG_4985.jpeg?resize=600%2C333&#038;quality=70&#038;ssl=1\" alt=\"\" width=\"600\" height=\"333\" src=\"data:image\/gif;base64,R0lGODlhAQABAAAAACH5BAEKAAEALAAAAAABAAEAAAICTAEAOw==\" style=\"--smush-placeholder-width: 600px; --smush-placeholder-aspect-ratio: 600\/333;\" \/><noscript><img data-recalc-dims=\"1\" decoding=\"async\" class=\"alignnone size-medium wp-image-298385\" src=\"https:\/\/i0.wp.com\/www.saastr.com\/wp-content\/uploads\/2024\/04\/IMG_4985.jpeg?resize=600%2C333&#038;quality=70&#038;ssl=1\" alt=\"\" width=\"600\" height=\"333\" \/><\/noscript><\/p>\n<p style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Many folks are getting value from AI today. The first example is Ovum Medical, a company created because they saw a disparity in the care that women were receiving relating to fertility.\u00a0<\/span><\/p>\n<p style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">For them, it\u2019s all about elevating the level of consistency and objectivity by which they provide care to patients across the world. They offer a telemedicine platform with Watson X built into it and running on the front end.\u00a0<\/span><\/p>\n<p style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Watson X can answer questions about healthcare, insurance, fertility, appointments, and more.\u00a0<\/span><span style=\"font-weight: 400;\">Why does this use case matter <\/span><span style=\"font-weight: 400;\">Because it didn\u2019t take months and years to develop and roll out. They got it fully integrated and running on Ovum\u2019s website in a matter of weeks.\u00a0<\/span><\/p>\n<h3><span style=\"font-weight: 400;\">CrushBank Technology\u00a0<\/span><\/h3>\n<p style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">CrushBank came from the IT support space where, in the past, they were running strategic outsourcing and providing staff to do IT support for different Enterprises. Along the way, there was a light bulb moment of, \u201cWhat if we can do this with AI?\u201d\u00a0<\/span><\/p>\n<p style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">They\u2019ve been able to roll out AI to interact with agents while they\u2019re handling support issues. It\u2019s important when a customer reaches out that they get their questions answered.\u00a0<\/span><\/p>\n<p style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">CrushBank is seeing support engineers onboarding faster, increasing the number of help desk tickets to close, and decreasing the time to resolution. There are so many ways to use AI to solve different business solutions.\u00a0<\/span><\/p>\n<h2><span style=\"font-weight: 400;\">Key Takeaways<\/span><\/h2>\n<p><img data-recalc-dims=\"1\" decoding=\"async\" class=\"alignnone size-medium wp-image-298386 lazyload\" data-src=\"https:\/\/i0.wp.com\/www.saastr.com\/wp-content\/uploads\/2024\/04\/IMG_4986.jpeg?resize=600%2C334&#038;quality=70&#038;ssl=1\" alt=\"\" width=\"600\" height=\"334\" src=\"data:image\/gif;base64,R0lGODlhAQABAAAAACH5BAEKAAEALAAAAAABAAEAAAICTAEAOw==\" style=\"--smush-placeholder-width: 600px; --smush-placeholder-aspect-ratio: 600\/334;\" \/><noscript><img data-recalc-dims=\"1\" decoding=\"async\" class=\"alignnone size-medium wp-image-298386\" src=\"https:\/\/i0.wp.com\/www.saastr.com\/wp-content\/uploads\/2024\/04\/IMG_4986.jpeg?resize=600%2C334&#038;quality=70&#038;ssl=1\" alt=\"\" width=\"600\" height=\"334\" \/><\/noscript><\/p>\n<p style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">1. It\u2019s all about finding the right balance and being a leader in the space where you understand the risks and aren\u2019t scared by them. Companies leaning into AI are growing faster today.\u00a0<\/span><\/p>\n<p style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">2. It\u2019s also about skills. Skills today are around prompting AI and showing AI how to mimic different actions. Tomorrow, it may be around managing a whole fleet of AI agents to manage various challenges.\u00a0<\/span><\/p>\n<p style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">3. You need to be open. New models are coming out every week, so stay on top of what\u2019s coming out, how you can leverage it, and how they differentiate from what you\u2019re using today.\u00a0<\/span><\/p>\n<p><iframe title=\"YouTube video player\" data-src=\"https:\/\/www.youtube.com\/embed\/sR9KedZY2ZY?si=XloDfVtiOh4DJfQC\" width=\"560\" height=\"315\" frameborder=\"0\" allowfullscreen=\"allowfullscreen\" src=\"data:image\/gif;base64,R0lGODlhAQABAAAAACH5BAEKAAEALAAAAAABAAEAAAICTAEAOw==\" class=\"lazyload\" data-load-mode=\"1\"><\/iframe><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Designing AI systems with explainability and data governance ensures transparency and trust. At SaaStr&#8217;s AI Day, George Kreitler, Global IBM Embeddable AI Sales Leader, talks about the paradox of AI, three equations that relate to the world productivity and AI, a little math to help guide the next decade, top use cases, and the importance of responsible AI.\u00a0<\/p>\n","protected":false},"author":13,"featured_media":298403,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_et_pb_use_builder":"","_et_pb_old_content":"","_et_gb_content_width":"","om_disable_all_campaigns":false,"_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_publicize_message":"","jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":false,"jetpack_social_options":{"image_generator_settings":{"template":"highway","default_image_id":0,"font":"","enabled":false},"version":2},"_wpscp_schedule_draft_date":"","_wpscp_schedule_republish_date":"","_wpscppro_advance_schedule":false,"_wpscppro_advance_schedule_date":"","_wpscppro_custom_social_share_image":0,"_facebook_share_type":"","_twitter_share_type":"","_linkedin_share_type":"","_pinterest_share_type":"","_linkedin_share_type_page":"","_instagram_share_type":"","_medium_share_type":"","_threads_share_type":"","_selected_social_profile":[]},"categories":[24898,31,29,20],"tags":[],"class_list":["post-298373","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ai","category-blog-posts","category-early","category-videos"],"jetpack_publicize_connections":[],"jetpack_featured_media_url":"https:\/\/i0.wp.com\/www.saastr.com\/wp-content\/uploads\/2024\/04\/SaaStr-AI-Day-2024_IBM.pptx.png?fit=960%2C540&quality=70&ssl=1","jetpack_shortlink":"https:\/\/wp.me\/p5oib2-1fCt","jetpack_sharing_enabled":true,"fifu_image_url":"https:\/\/www.saastr.com\/wp-content\/uploads\/2024\/04\/SaaStr-AI-Day-2024_IBM.pptx.png","_links":{"self":[{"href":"https:\/\/www.saastr.com\/wp-json\/wp\/v2\/posts\/298373","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.saastr.com\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.saastr.com\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.saastr.com\/wp-json\/wp\/v2\/users\/13"}],"replies":[{"embeddable":true,"href":"https:\/\/www.saastr.com\/wp-json\/wp\/v2\/comments?post=298373"}],"version-history":[{"count":0,"href":"https:\/\/www.saastr.com\/wp-json\/wp\/v2\/posts\/298373\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.saastr.com\/wp-json\/wp\/v2\/media\/298403"}],"wp:attachment":[{"href":"https:\/\/www.saastr.com\/wp-json\/wp\/v2\/media?parent=298373"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.saastr.com\/wp-json\/wp\/v2\/categories?post=298373"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.saastr.com\/wp-json\/wp\/v2\/tags?post=298373"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}