David Menninger's Analyst Perspectives

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class="minimal-mobile-menu-submenu level-3"> <li class="minimal-no-mobile-submenu minimal-mobile-menu-item hs-skip-lang-url-rewrite"> <span><a href="https://www.isg-research.net/focus/customerexperience/agentmanagement" class="minimal-mobile-menu-link"><span>Agent Management</span></a></span> </li> <li class="minimal-no-mobile-submenu minimal-mobile-menu-item hs-skip-lang-url-rewrite"> <span><a href="https://www.isg-research.net/focus/customerexperience/contactcenter" class="minimal-mobile-menu-link"><span>Contact Center</span></a></span> </li> <li class="minimal-no-mobile-submenu minimal-mobile-menu-item hs-skip-lang-url-rewrite"> <span><a href="https://www.isg-research.net/focus/customerexperience/customerexperiencemanagement" class="minimal-mobile-menu-link"><span>Customer Experience Management</span></a></span> </li> <li class="minimal-no-mobile-submenu minimal-mobile-menu-item hs-skip-lang-url-rewrite"> <span><a href="https://www.isg-research.net/focus/customerexperience/fieldservice" class="minimal-mobile-menu-link"><span>Field Service</span></a></span> </li> <li class="minimal-no-mobile-submenu minimal-mobile-menu-item hs-skip-lang-url-rewrite"> <span><a href="https://www.isg-research.net/focus/customerexperience/intelligentselfservice" class="minimal-mobile-menu-link"><span>Intelligent Self-Service</span></a></span> </li> <li class="minimal-no-mobile-submenu minimal-mobile-menu-item hs-skip-lang-url-rewrite"> <span><a href="https://www.isg-research.net/focus/customerexperience/voiceofthecustomer" class="minimal-mobile-menu-link"><span>Voice of the Customer</span></a></span> </li> </ul> </li> <li class="minimal-has-mobile-submenu minimal-mobile-menu-item hs-skip-lang-url-rewrite"> <span><a href="https://www.isg-research.net/digitalbusiness" class="minimal-mobile-menu-link"><span>Digital Business</span></a></span> <ul class="minimal-mobile-menu-submenu level-3"> <li class="minimal-no-mobile-submenu minimal-mobile-menu-item hs-skip-lang-url-rewrite"> <span><a href="https://www.isg-research.net/focus/digitalbusiness/digital-applications" class="minimal-mobile-menu-link"><span>Digital Applications</span></a></span> </li> <li class="minimal-no-mobile-submenu minimal-mobile-menu-item hs-skip-lang-url-rewrite"> <span><a href="https://www.isg-research.net/focus/digitalbusiness/digitalcommunications" class="minimal-mobile-menu-link"><span>Digital Communications</span></a></span> </li> <li class="minimal-no-mobile-submenu minimal-mobile-menu-item hs-skip-lang-url-rewrite"> <span><a href="https://www.isg-research.net/focus/digitalbusiness/digital-intelligence" class="minimal-mobile-menu-link"><span>Digital Intelligence</span></a></span> </li> <li class="minimal-no-mobile-submenu minimal-mobile-menu-item hs-skip-lang-url-rewrite"> <span><a href="https://www.isg-research.net/focus/digitalbusiness/digital-operations" class="minimal-mobile-menu-link"><span>Digital Operations</span></a></span> </li> <li class="minimal-no-mobile-submenu minimal-mobile-menu-item hs-skip-lang-url-rewrite"> <span><a href="https://www.isg-research.net/focus/digitalbusiness/experiencemanagement" class="minimal-mobile-menu-link"><span>Experience Management</span></a></span> </li> <li class="minimal-no-mobile-submenu minimal-mobile-menu-item hs-skip-lang-url-rewrite"> <span><a href="https://www.isg-research.net/focus/digitalbusiness/generative-ai" class="minimal-mobile-menu-link"><span>Generative AI</span></a></span> </li> <li class="minimal-no-mobile-submenu minimal-mobile-menu-item hs-skip-lang-url-rewrite"> <span><a href="https://www.isg-research.net/focus/digitalbusiness/performancemanagement" class="minimal-mobile-menu-link"><span>Performance Management</span></a></span> </li> <li class="minimal-no-mobile-submenu minimal-mobile-menu-item hs-skip-lang-url-rewrite"> <span><a href="https://www.isg-research.net/focus/digitalbusiness/sustainabilityandesg" class="minimal-mobile-menu-link"><span>Sustainability & ESG</span></a></span> </li> <li class="minimal-no-mobile-submenu minimal-mobile-menu-item hs-skip-lang-url-rewrite"> <span><a href="https://www.isg-research.net/focus/digitalbusiness/workmanagement" class="minimal-mobile-menu-link"><span>Work Management</span></a></span> </li> </ul> </li> <li class="minimal-has-mobile-submenu minimal-mobile-menu-item hs-skip-lang-url-rewrite"> <span><a href="https://www.isg-research.net/digitaltechnology" class="minimal-mobile-menu-link"><span>Digital Technology</span></a></span> <ul class="minimal-mobile-menu-submenu level-3"> <li class="minimal-no-mobile-submenu minimal-mobile-menu-item hs-skip-lang-url-rewrite"> <span><a href="https://www.isg-research.net/focus/digitaltechnology/businesscontinuity" class="minimal-mobile-menu-link"><span>Business Continuity</span></a></span> </li> <li class="minimal-no-mobile-submenu minimal-mobile-menu-item hs-skip-lang-url-rewrite"> <span><a href="https://www.isg-research.net/focus/digitaltechnology/cloudcomputing" class="minimal-mobile-menu-link"><span>Cloud Computing</span></a></span> </li> <li class="minimal-no-mobile-submenu minimal-mobile-menu-item hs-skip-lang-url-rewrite"> <span><a href="https://www.isg-research.net/focus/digitaltechnology/devops" class="minimal-mobile-menu-link"><span>DevOps and Platforms</span></a></span> </li> <li class="minimal-no-mobile-submenu minimal-mobile-menu-item hs-skip-lang-url-rewrite"> <span><a href="https://www.isg-research.net/focus/digitaltechnology/digitalsecurity" class="minimal-mobile-menu-link"><span>Digital Security</span></a></span> </li> <li class="minimal-no-mobile-submenu minimal-mobile-menu-item hs-skip-lang-url-rewrite"> <span><a href="https://www.isg-research.net/focus/digitaltechnology/intelligentautomation" class="minimal-mobile-menu-link"><span>Intelligent Automation</span></a></span> </li> <li class="minimal-no-mobile-submenu minimal-mobile-menu-item hs-skip-lang-url-rewrite"> <span><a href="https://www.isg-research.net/focus/digitaltechnology/internetofthings" class="minimal-mobile-menu-link"><span>IoT and Edge Computing</span></a></span> </li> <li class="minimal-no-mobile-submenu minimal-mobile-menu-item hs-skip-lang-url-rewrite"> <span><a href="https://www.isg-research.net/focus/digitaltechnology/itops" class="minimal-mobile-menu-link"><span>ITOps</span></a></span> </li> <li class="minimal-no-mobile-submenu minimal-mobile-menu-item hs-skip-lang-url-rewrite"> <span><a href="https://www.isg-research.net/focus/digitaltechnology/it-service-management" class="minimal-mobile-menu-link"><span>IT Service Management</span></a></span> </li> <li class="minimal-no-mobile-submenu minimal-mobile-menu-item hs-skip-lang-url-rewrite"> <span><a href="https://www.isg-research.net/focus/digitaltechnology/observability" class="minimal-mobile-menu-link"><span>Observability</span></a></span> </li> </ul> </li> <li class="minimal-has-mobile-submenu minimal-mobile-menu-item hs-skip-lang-url-rewrite"> <span><a href="https://www.isg-research.net/humancapitalmanagement" class="minimal-mobile-menu-link"><span>Human Capital Management</span></a></span> <ul class="minimal-mobile-menu-submenu level-3"> <li class="minimal-no-mobile-submenu minimal-mobile-menu-item hs-skip-lang-url-rewrite"> <span><a href="https://www.isg-research.net/focus/humancapitalmanagement/employeeexperience" class="minimal-mobile-menu-link"><span>Employee Experience</span></a></span> </li> <li class="minimal-no-mobile-submenu minimal-mobile-menu-item hs-skip-lang-url-rewrite"> <span><a href="https://www.isg-research.net/focus/humancapitalmanagement/learningmanagement" class="minimal-mobile-menu-link"><span>Learning Management</span></a></span> </li> <li class="minimal-no-mobile-submenu minimal-mobile-menu-item hs-skip-lang-url-rewrite"> <span><a href="https://www.isg-research.net/focus/humancapitalmanagement/payrollmanagement" class="minimal-mobile-menu-link"><span>Payroll Management</span></a></span> </li> <li class="minimal-no-mobile-submenu minimal-mobile-menu-item hs-skip-lang-url-rewrite"> <span><a href="https://www.isg-research.net/focus/humancapitalmanagement/talentmanagement" class="minimal-mobile-menu-link"><span>Talent Management</span></a></span> </li> <li class="minimal-no-mobile-submenu minimal-mobile-menu-item hs-skip-lang-url-rewrite"> <span><a href="https://www.isg-research.net/focus/humancapitalmanagement/totalcompensationmanagement" class="minimal-mobile-menu-link"><span>Total Compensation Management</span></a></span> </li> <li class="minimal-no-mobile-submenu minimal-mobile-menu-item hs-skip-lang-url-rewrite"> <span><a href="https://www.isg-research.net/focus/humancapitalmanagement/workforcemanagement" class="minimal-mobile-menu-link"><span>Workforce Management</span></a></span> </li> </ul> </li> <li class="minimal-has-mobile-submenu minimal-mobile-menu-item hs-skip-lang-url-rewrite"> <span><a href="https://www.isg-research.net/marketing" class="minimal-mobile-menu-link"><span>Marketing</span></a></span> <ul class="minimal-mobile-menu-submenu level-3"> <li class="minimal-no-mobile-submenu minimal-mobile-menu-item hs-skip-lang-url-rewrite"> <span><a href="https://www.isg-research.net/focus/marketing/customerdataplatforms" class="minimal-mobile-menu-link"><span>Customer Data Platforms</span></a></span> </li> <li class="minimal-no-mobile-submenu minimal-mobile-menu-item hs-skip-lang-url-rewrite"> <span><a href="https://www.isg-research.net/focus/marketing/digitalexperienceplatforms" class="minimal-mobile-menu-link"><span>Digital Experience Platform</span></a></span> </li> <li class="minimal-no-mobile-submenu minimal-mobile-menu-item hs-skip-lang-url-rewrite"> <span><a href="https://www.isg-research.net/focus/marketing/digitalmarketing" class="minimal-mobile-menu-link"><span>Digital Marketing</span></a></span> </li> <li class="minimal-no-mobile-submenu minimal-mobile-menu-item hs-skip-lang-url-rewrite"> <span><a href="https://www.isg-research.net/focus/marketing/intelligentmarketing" class="minimal-mobile-menu-link"><span>Intelligent Marketing</span></a></span> </li> <li class="minimal-no-mobile-submenu minimal-mobile-menu-item hs-skip-lang-url-rewrite"> <span><a href="https://www.isg-research.net/focus/marketing/marketingperformancemanagement" class="minimal-mobile-menu-link"><span>Marketing Performance Management</span></a></span> </li> <li class="minimal-no-mobile-submenu minimal-mobile-menu-item hs-skip-lang-url-rewrite"> <span><a href="https://www.isg-research.net/focus/marketing/productexperiencemanagement" class="minimal-mobile-menu-link"><span>Product Experience Management</span></a></span> </li> </ul> </li> <li class="minimal-has-mobile-submenu minimal-mobile-menu-item hs-skip-lang-url-rewrite"> <span><a href="https://www.isg-research.net/officeoffinance" class="minimal-mobile-menu-link"><span>Office of Finance</span></a></span> <ul class="minimal-mobile-menu-submenu level-3"> <li class="minimal-no-mobile-submenu minimal-mobile-menu-item hs-skip-lang-url-rewrite"> <span><a href="https://www.isg-research.net/focus/officeoffinance/businessplanning" class="minimal-mobile-menu-link"><span>Business Planning</span></a></span> </li> <li class="minimal-no-mobile-submenu minimal-mobile-menu-item hs-skip-lang-url-rewrite"> <span><a href="https://www.isg-research.net/focus/officeoffinance/digitalfinance" class="minimal-mobile-menu-link"><span>Digital Finance</span></a></span> </li> <li class="minimal-no-mobile-submenu minimal-mobile-menu-item hs-skip-lang-url-rewrite"> <span><a href="https://www.isg-research.net/focus/officeoffinance/erpandcontinuousaccounting" class="minimal-mobile-menu-link"><span>ERP & Continuous Accounting</span></a></span> </li> <li class="minimal-no-mobile-submenu minimal-mobile-menu-item hs-skip-lang-url-rewrite"> <span><a href="https://www.isg-research.net/focus/officeoffinance/consolidate-and-close-management" class="minimal-mobile-menu-link"><span>Consolidate & Close Management</span></a></span> </li> <li class="minimal-no-mobile-submenu minimal-mobile-menu-item hs-skip-lang-url-rewrite"> <span><a href="https://www.isg-research.net/focus/officeoffinance/procure-to-pay" class="minimal-mobile-menu-link"><span>Procure-to-Pay</span></a></span> </li> <li class="minimal-no-mobile-submenu minimal-mobile-menu-item hs-skip-lang-url-rewrite"> <span><a href="https://www.isg-research.net/focus/officeoffinance/order-to-cash" class="minimal-mobile-menu-link"><span>Order-to-Cash</span></a></span> </li> </ul> </li> <li class="minimal-has-mobile-submenu minimal-mobile-menu-item hs-skip-lang-url-rewrite"> <span><a href="https://www.isg-research.net/officeofrevenue" class="minimal-mobile-menu-link"><span>Office of Revenue</span></a></span> <ul class="minimal-mobile-menu-submenu level-3"> <li class="minimal-no-mobile-submenu minimal-mobile-menu-item hs-skip-lang-url-rewrite"> <span><a href="https://www.isg-research.net/focus/officeofrevenue/digitalcommerce" class="minimal-mobile-menu-link"><span>Digital Commerce</span></a></span> </li> <li class="minimal-no-mobile-submenu minimal-mobile-menu-item hs-skip-lang-url-rewrite"> <span><a href="https://www.isg-research.net/focus/officeofrevenue/partnermanagement" class="minimal-mobile-menu-link"><span>Partner Management</span></a></span> </li> <li class="minimal-no-mobile-submenu minimal-mobile-menu-item hs-skip-lang-url-rewrite"> <span><a href="https://www.isg-research.net/focus/officeofrevenue/revenuemanagement" class="minimal-mobile-menu-link"><span>Revenue Management</span></a></span> </li> <li class="minimal-no-mobile-submenu minimal-mobile-menu-item hs-skip-lang-url-rewrite"> <span><a href="https://www.isg-research.net/focus/officeofrevenue/revenueperformancemanagement" class="minimal-mobile-menu-link"><span>Revenue Performance Management</span></a></span> </li> <li class="minimal-no-mobile-submenu minimal-mobile-menu-item hs-skip-lang-url-rewrite"> <span><a href="https://www.isg-research.net/focus/officeofrevenue/salesengagement" class="minimal-mobile-menu-link"><span>Sales Engagement</span></a></span> </li> <li class="minimal-no-mobile-submenu minimal-mobile-menu-item hs-skip-lang-url-rewrite"> <span><a href="https://www.isg-research.net/focus/officeofrevenue/subscriptionmanagement" class="minimal-mobile-menu-link"><span>Subscription Management</span></a></span> </li> </ul> </li> <li class="minimal-has-mobile-submenu minimal-mobile-menu-item hs-skip-lang-url-rewrite"> <span><a href="https://www.isg-research.net/operationsandsupplychain" class="minimal-mobile-menu-link"><span>Operations & Supply Chain</span></a></span> <ul class="minimal-mobile-menu-submenu level-3"> <li class="minimal-no-mobile-submenu minimal-mobile-menu-item hs-skip-lang-url-rewrite"> <span><a href="https://www.isg-research.net/focus/operationsandsupplychain/continuousplanning" class="minimal-mobile-menu-link"><span>Continuous Planning</span></a></span> </li> <li class="minimal-no-mobile-submenu minimal-mobile-menu-item hs-skip-lang-url-rewrite"> <span><a href="https://www.isg-research.net/focus/operationsandsupplychain/continuousupplychainanderp" class="minimal-mobile-menu-link"><span>Continuous Supply Chain & ERP</span></a></span> </li> <li class="minimal-no-mobile-submenu minimal-mobile-menu-item hs-skip-lang-url-rewrite"> <span><a href="https://www.isg-research.net/focus/operationsandsupplychain/productinformationmanagement" class="minimal-mobile-menu-link"><span>Product Information Management</span></a></span> </li> <li class="minimal-no-mobile-submenu minimal-mobile-menu-item hs-skip-lang-url-rewrite"> <span><a href="https://www.isg-research.net/focus/operationsandsupplychain/propertytechnology" class="minimal-mobile-menu-link"><span>Property Technology</span></a></span> </li> <li class="minimal-no-mobile-submenu minimal-mobile-menu-item hs-skip-lang-url-rewrite"> <span><a href="https://www.isg-research.net/focus/operationsandsupplychain/supplierrelationshipmanagement" class="minimal-mobile-menu-link"><span>Supplier Relationship Management</span></a></span> </li> <li class="minimal-no-mobile-submenu minimal-mobile-menu-item hs-skip-lang-url-rewrite"> <span><a href="https://www.isg-research.net/focus/operationsandsupplychain/sustainabilitymanagement" class="minimal-mobile-menu-link"><span>Sustainability Management</span></a></span> </li> </ul> </li> </ul> </li> <li class="minimal-has-mobile-submenu minimal-mobile-menu-item hs-skip-lang-url-rewrite"> <span><a href="https://www.isg-research.net/vertical-industries" class="minimal-mobile-menu-link"><span>Industries</span></a></span> <ul class="minimal-mobile-menu-submenu level-2"> <li class="minimal-no-mobile-submenu minimal-mobile-menu-item hs-skip-lang-url-rewrite"> <span><a href="https://www.isg-research.net/vertical-industry/automotive" class="minimal-mobile-menu-link"><span>Automotive</span></a></span> </li> <li class="minimal-no-mobile-submenu minimal-mobile-menu-item hs-skip-lang-url-rewrite"> <span><a href="https://www.isg-research.net/vertical-industry/banking" class="minimal-mobile-menu-link"><span>Banking</span></a></span> </li> <li class="minimal-no-mobile-submenu minimal-mobile-menu-item hs-skip-lang-url-rewrite"> <span><a href="https://www.isg-research.net/vertical-industry/consumer-products" class="minimal-mobile-menu-link"><span>Consumer Products</span></a></span> </li> <li class="minimal-no-mobile-submenu minimal-mobile-menu-item hs-skip-lang-url-rewrite"> <span><a href="https://www.isg-research.net/vertical-industry/financial-services" class="minimal-mobile-menu-link"><span>Financial Services</span></a></span> </li> <li class="minimal-no-mobile-submenu minimal-mobile-menu-item hs-skip-lang-url-rewrite"> <span><a href="https://www.isg-research.net/vertical-industry/food-beverage" class="minimal-mobile-menu-link"><span>Food & Beverage</span></a></span> </li> <li class="minimal-no-mobile-submenu minimal-mobile-menu-item hs-skip-lang-url-rewrite"> <span><a href="https://www.isg-research.net/vertical-industry/healthcare" class="minimal-mobile-menu-link"><span>Healthcare</span></a></span> </li> <li class="minimal-no-mobile-submenu minimal-mobile-menu-item hs-skip-lang-url-rewrite"> <span><a href="https://www.isg-research.net/vertical-industry/hospitality" class="minimal-mobile-menu-link"><span>Hospitality</span></a></span> </li> <li class="minimal-no-mobile-submenu minimal-mobile-menu-item hs-skip-lang-url-rewrite"> <span><a href="https://www.isg-research.net/vertical-industry/insurance" class="minimal-mobile-menu-link"><span>Insurance</span></a></span> </li> <li class="minimal-no-mobile-submenu minimal-mobile-menu-item hs-skip-lang-url-rewrite"> <span><a 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Fueled by generative AI, awareness and investment in AI seems to be exploding. ISG research shows that enterprises plan to nearly triple the portion of budgets allocated to AI over the next two years. This doesn’t come as a big surprise when you look at the outcomes enterprises are achieving: Of those that have invested in AI, more than 8 in 10 (84%) have had...</span></p> </div> <a href="https://davidmenninger.isg-research.net/salesforce-wants-everyone-to-be-an-einstein-with-ai"><span class="readmore"> Read More </span></a><br><br> Topics: <a href="https://davidmenninger.isg-research.net/topic/artificial-intelligence">Artificial intelligence</a>, <a href="https://davidmenninger.isg-research.net/topic/ai">AI</a>, <a href="https://davidmenninger.isg-research.net/topic/natural-language-processing">natural language processing</a>, <a href="https://davidmenninger.isg-research.net/topic/generative-ai">Generative AI</a>, <a href="https://davidmenninger.isg-research.net/topic/deep-learning">Deep Learning</a>, <a href="https://davidmenninger.isg-research.net/topic/model-building-and-large-language-models">Model Building and Large Language Models</a>, <a href="https://davidmenninger.isg-research.net/topic/computer-vision">Computer Vision</a>, <a href="https://davidmenninger.isg-research.net/topic/machine-learning-operations">Machine Learning Operations</a> <hr> </div> <div class="blog-index__post-content" style="margin-bottom: 80px"> <div class="post-meta"> <h2 style="font-size: 1.875rem;"><a href="https://davidmenninger.isg-research.net/look-out-computer-vision-in-ai-is-coming-into-sight">Look Out: Computer Vision in AI is Coming Into Sight</a></h2> <div class="author-meta"> Posted by <a href="https://davidmenninger.isg-research.net/author/david-menninger"> David Menninger </a> on <span class="post-date">21 February 2024 </span> </div>  <hr> </div> <div class="list-card-p"><div class="wrapingimage"> <img src="https://davidmenninger.isg-research.net/hs-fs/hubfs/Look_Out_Computer_Vision_in_AI_is_Coming_Into_Sight.png?width=200&name=Look_Out_Computer_Vision_in_AI_is_Coming_Into_Sight.png" width="200" !important: srcset="https://davidmenninger.isg-research.net/hs-fs/hubfs/Look_Out_Computer_Vision_in_AI_is_Coming_Into_Sight.png?width=100&name=Look_Out_Computer_Vision_in_AI_is_Coming_Into_Sight.png 100w, https://davidmenninger.isg-research.net/hs-fs/hubfs/Look_Out_Computer_Vision_in_AI_is_Coming_Into_Sight.png?width=200&name=Look_Out_Computer_Vision_in_AI_is_Coming_Into_Sight.png 200w, https://davidmenninger.isg-research.net/hs-fs/hubfs/Look_Out_Computer_Vision_in_AI_is_Coming_Into_Sight.png?width=300&name=Look_Out_Computer_Vision_in_AI_is_Coming_Into_Sight.png 300w, https://davidmenninger.isg-research.net/hs-fs/hubfs/Look_Out_Computer_Vision_in_AI_is_Coming_Into_Sight.png?width=400&name=Look_Out_Computer_Vision_in_AI_is_Coming_Into_Sight.png 400w, https://davidmenninger.isg-research.net/hs-fs/hubfs/Look_Out_Computer_Vision_in_AI_is_Coming_Into_Sight.png?width=500&name=Look_Out_Computer_Vision_in_AI_is_Coming_Into_Sight.png 500w, https://davidmenninger.isg-research.net/hs-fs/hubfs/Look_Out_Computer_Vision_in_AI_is_Coming_Into_Sight.png?width=600&name=Look_Out_Computer_Vision_in_AI_is_Coming_Into_Sight.png 600w" sizes="(max-width: 200px) 100vw, 200px"> </div> <p><span data-contrast="auto">Unstructured data has been a significant factor in data lakes and analytics for some time. </span><a href="https://davidmenninger.ventanaresearch.com/david-menninger/2012/01/25/big-data-is-more-than-hadoop"><span data-contrast="none">Twelve years ago,</span></a><span data-contrast="auto"> nearly a third of enterprises were working with large amounts of unstructured data. As I’ve </span><a href="https://davidmenninger.ventanaresearch.com/five-modern-data-architecture-trends"><span data-contrast="none">pointed out previously</span></a><span data-contrast="auto">, unstructured data is really a misnomer. The data is structured; it's just not structured into rows and columns that fit neatly into a relational table like much of the other information enterprises process. Consequently, it requires different skills, different technology...</span></p> </div> <a href="https://davidmenninger.isg-research.net/look-out-computer-vision-in-ai-is-coming-into-sight"><span class="readmore"> Read More </span></a><br><br> Topics: <a href="https://davidmenninger.isg-research.net/topic/artificial-intelligence">Artificial intelligence</a>, <a href="https://davidmenninger.isg-research.net/topic/analytics-data">Analytics & Data</a>, <a href="https://davidmenninger.isg-research.net/topic/ai-and-machine-learning">AI and Machine Learning</a>, <a href="https://davidmenninger.isg-research.net/topic/computer-vision">Computer Vision</a> <hr> </div> <div class="blog-index__post-content" style="margin-bottom: 80px"> <div class="post-meta"> <h2 style="font-size: 1.875rem;"><a href="https://davidmenninger.isg-research.net/2024-market-agenda-for-artificial-intelligence-improving-productivity-and-experiences">2024 Market Agenda for Artificial Intelligence: Improving Productivity and Experiences</a></h2> <div class="author-meta"> Posted by <a href="https://davidmenninger.isg-research.net/author/david-menninger"> David Menninger </a> on <span class="post-date">02 February 2024 </span> </div>  <hr> </div> <div class="list-card-p"><div class="wrapingimage"> <img src="https://davidmenninger.isg-research.net/hs-fs/hubfs/2024_Market_Agenda_for_Artificial_Intelligence_Improving_Productivity_and_Experiences.png?width=200&name=2024_Market_Agenda_for_Artificial_Intelligence_Improving_Productivity_and_Experiences.png" width="200" !important: srcset="https://davidmenninger.isg-research.net/hs-fs/hubfs/2024_Market_Agenda_for_Artificial_Intelligence_Improving_Productivity_and_Experiences.png?width=100&name=2024_Market_Agenda_for_Artificial_Intelligence_Improving_Productivity_and_Experiences.png 100w, https://davidmenninger.isg-research.net/hs-fs/hubfs/2024_Market_Agenda_for_Artificial_Intelligence_Improving_Productivity_and_Experiences.png?width=200&name=2024_Market_Agenda_for_Artificial_Intelligence_Improving_Productivity_and_Experiences.png 200w, https://davidmenninger.isg-research.net/hs-fs/hubfs/2024_Market_Agenda_for_Artificial_Intelligence_Improving_Productivity_and_Experiences.png?width=300&name=2024_Market_Agenda_for_Artificial_Intelligence_Improving_Productivity_and_Experiences.png 300w, https://davidmenninger.isg-research.net/hs-fs/hubfs/2024_Market_Agenda_for_Artificial_Intelligence_Improving_Productivity_and_Experiences.png?width=400&name=2024_Market_Agenda_for_Artificial_Intelligence_Improving_Productivity_and_Experiences.png 400w, https://davidmenninger.isg-research.net/hs-fs/hubfs/2024_Market_Agenda_for_Artificial_Intelligence_Improving_Productivity_and_Experiences.png?width=500&name=2024_Market_Agenda_for_Artificial_Intelligence_Improving_Productivity_and_Experiences.png 500w, https://davidmenninger.isg-research.net/hs-fs/hubfs/2024_Market_Agenda_for_Artificial_Intelligence_Improving_Productivity_and_Experiences.png?width=600&name=2024_Market_Agenda_for_Artificial_Intelligence_Improving_Productivity_and_Experiences.png 600w" sizes="(max-width: 200px) 100vw, 200px"> </div> <p><span data-contrast="auto">Ventana Research recently announced its 2024 Market Agenda for </span><a href="https://www.ventanaresearch.com/artificial-intelligence"><span data-contrast="none">Artificial Intelligence</span></a><span data-contrast="auto">, continuing the guidance we have offered for two decades to help enterprises derive optimal value from technology and improve business outcomes.</span></p> </div> <a href="https://davidmenninger.isg-research.net/2024-market-agenda-for-artificial-intelligence-improving-productivity-and-experiences"><span class="readmore"> Read More </span></a><br><br> Topics: <a href="https://davidmenninger.isg-research.net/topic/artificial-intelligence">Artificial intelligence</a>, <a href="https://davidmenninger.isg-research.net/topic/natural-language-processing">natural language processing</a>, <a href="https://davidmenninger.isg-research.net/topic/generative-ai">Generative AI</a>, <a href="https://davidmenninger.isg-research.net/topic/deep-learning">Deep Learning</a>, <a href="https://davidmenninger.isg-research.net/topic/model-building-and-large-language-models">Model Building and Large Language Models</a>, <a href="https://davidmenninger.isg-research.net/topic/computer-vision">Computer Vision</a> <hr> </div> <script> // Check active classes var checkClass = function() { if ( $('.fil_item').hasClass('hide') ) { $('.fil_item').removeClass('hide'); 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If you have any issue with an Analyst Perspective, please email them to <a href="mailto:ChiefResearchOfficer@isg-research.net">ChiefResearchOfficer@isg-research.net</a></p> </li> </ul> <a class="btn-secondary" href="https://www.isg-research.net/analyst-perspective-policy">View Policy</a></span>  <div id="hs_cos_wrapper_module_168621267066296" class="hs_cos_wrapper hs_cos_wrapper_widget hs_cos_wrapper_type_module" style="" data-hs-cos-general-type="widget" data-hs-cos-type="module"><style> </style> <h3 style="color: #255a89;">Our Analysts</h3>  <div class="row-fluid"> <div class="span6" style="text-align: center;"> <a href="https://davidmenninger.isg-research.net"> <img class="analyst_img" style="width: 100px;" src="https://davidmenninger.isg-research.net/hs-fs/hubfs/_images/_team/Menninger.David%20Pic.Circle.png?width=100&name=Menninger.David%20Pic.Circle.png" alt="David Menninger" width="100" data-constrained="true" caption="false" sizes="(max-width: 100px) 100vw, 100px" srcset="https://davidmenninger.isg-research.net/hs-fs/hubfs/_images/_team/Menninger.David%20Pic.Circle.png?width=50&name=Menninger.David%20Pic.Circle.png 50w, https://davidmenninger.isg-research.net/hs-fs/hubfs/_images/_team/Menninger.David%20Pic.Circle.png?width=100&name=Menninger.David%20Pic.Circle.png 100w, https://davidmenninger.isg-research.net/hs-fs/hubfs/_images/_team/Menninger.David%20Pic.Circle.png?width=150&name=Menninger.David%20Pic.Circle.png 150w, https://davidmenninger.isg-research.net/hs-fs/hubfs/_images/_team/Menninger.David%20Pic.Circle.png?width=200&name=Menninger.David%20Pic.Circle.png 200w, https://davidmenninger.isg-research.net/hs-fs/hubfs/_images/_team/Menninger.David%20Pic.Circle.png?width=250&name=Menninger.David%20Pic.Circle.png 250w, https://davidmenninger.isg-research.net/hs-fs/hubfs/_images/_team/Menninger.David%20Pic.Circle.png?width=300&name=Menninger.David%20Pic.Circle.png 300w"> <h5 class="analyst_name">David Menninger</h5> </a> </div> <div class="span6" style="text-align: center;"> <a href="https://jefforr.isg-research.net"> <img class="analyst_img" style="width: 100px;" src="https://davidmenninger.isg-research.net/hs-fs/hubfs/_images/_team/Orr.Jeff.Circle.png?width=100&name=Orr.Jeff.Circle.png" alt="Jeff Orr" width="100" data-constrained="true" caption="false" srcset="https://davidmenninger.isg-research.net/hs-fs/hubfs/_images/_team/Orr.Jeff.Circle.png?width=50&name=Orr.Jeff.Circle.png 50w, https://davidmenninger.isg-research.net/hs-fs/hubfs/_images/_team/Orr.Jeff.Circle.png?width=100&name=Orr.Jeff.Circle.png 100w, https://davidmenninger.isg-research.net/hs-fs/hubfs/_images/_team/Orr.Jeff.Circle.png?width=150&name=Orr.Jeff.Circle.png 150w, https://davidmenninger.isg-research.net/hs-fs/hubfs/_images/_team/Orr.Jeff.Circle.png?width=200&name=Orr.Jeff.Circle.png 200w, https://davidmenninger.isg-research.net/hs-fs/hubfs/_images/_team/Orr.Jeff.Circle.png?width=250&name=Orr.Jeff.Circle.png 250w, https://davidmenninger.isg-research.net/hs-fs/hubfs/_images/_team/Orr.Jeff.Circle.png?width=300&name=Orr.Jeff.Circle.png 300w" sizes="(max-width: 100px) 100vw, 100px"> <h5 class="analyst_name">Jeff Orr</h5> </a> </div> </div>   <div class="row-fluid"> <div class="span6" style="text-align: center;"> <a href="https://keithdawson.isg-research.net"> <img class="analyst_img" style="width: 100px;" src="https://davidmenninger.isg-research.net/hs-fs/hubfs/_images/_team/Dawson.Keith%20Pic.Circle.png?width=100&name=Dawson.Keith%20Pic.Circle.png" alt="Keith Dawson" width="100" data-constrained="true" caption="false" sizes="(max-width: 100px) 100vw, 100px" srcset="https://davidmenninger.isg-research.net/hs-fs/hubfs/_images/_team/Dawson.Keith%20Pic.Circle.png?width=50&name=Dawson.Keith%20Pic.Circle.png 50w, https://davidmenninger.isg-research.net/hs-fs/hubfs/_images/_team/Dawson.Keith%20Pic.Circle.png?width=100&name=Dawson.Keith%20Pic.Circle.png 100w, https://davidmenninger.isg-research.net/hs-fs/hubfs/_images/_team/Dawson.Keith%20Pic.Circle.png?width=150&name=Dawson.Keith%20Pic.Circle.png 150w, https://davidmenninger.isg-research.net/hs-fs/hubfs/_images/_team/Dawson.Keith%20Pic.Circle.png?width=200&name=Dawson.Keith%20Pic.Circle.png 200w, https://davidmenninger.isg-research.net/hs-fs/hubfs/_images/_team/Dawson.Keith%20Pic.Circle.png?width=250&name=Dawson.Keith%20Pic.Circle.png 250w, https://davidmenninger.isg-research.net/hs-fs/hubfs/_images/_team/Dawson.Keith%20Pic.Circle.png?width=300&name=Dawson.Keith%20Pic.Circle.png 300w"> <h5 class="analyst_name">Keith Dawson</h5> </a> </div> <div class="span6" style="text-align:center;"> <a href="https://marksmith.isg-research.net"> <img class="analyst_img" style="width: 100px;" src="https://davidmenninger.isg-research.net/hs-fs/hubfs/_images/_team/Smith.Mark%20Pic.Circle.png?width=100&name=Smith.Mark%20Pic.Circle.png" alt="Mark Smith" width="100" data-constrained="true" caption="false" sizes="(max-width: 100px) 100vw, 100px" srcset="https://davidmenninger.isg-research.net/hs-fs/hubfs/_images/_team/Smith.Mark%20Pic.Circle.png?width=50&name=Smith.Mark%20Pic.Circle.png 50w, https://davidmenninger.isg-research.net/hs-fs/hubfs/_images/_team/Smith.Mark%20Pic.Circle.png?width=100&name=Smith.Mark%20Pic.Circle.png 100w, https://davidmenninger.isg-research.net/hs-fs/hubfs/_images/_team/Smith.Mark%20Pic.Circle.png?width=150&name=Smith.Mark%20Pic.Circle.png 150w, https://davidmenninger.isg-research.net/hs-fs/hubfs/_images/_team/Smith.Mark%20Pic.Circle.png?width=200&name=Smith.Mark%20Pic.Circle.png 200w, https://davidmenninger.isg-research.net/hs-fs/hubfs/_images/_team/Smith.Mark%20Pic.Circle.png?width=250&name=Smith.Mark%20Pic.Circle.png 250w, https://davidmenninger.isg-research.net/hs-fs/hubfs/_images/_team/Smith.Mark%20Pic.Circle.png?width=300&name=Smith.Mark%20Pic.Circle.png 300w"> <h5 class="analyst_name">Mark Smith</h5> </a> </div> </div>   <div class="row-fluid"> <div class="span6" style="text-align: center;"> <a href="https://mattaslett.isg-research.net"> <img class="analyst_img" style="width: 100px;" src="https://davidmenninger.isg-research.net/hs-fs/hubfs/_images/_team/Aslett.Matt%20Pic.Circle.png?width=100&name=Aslett.Matt%20Pic.Circle.png" alt="Matt Aslett" width="100" data-constrained="true" caption="false" sizes="(max-width: 100px) 100vw, 100px" srcset="https://davidmenninger.isg-research.net/hs-fs/hubfs/_images/_team/Aslett.Matt%20Pic.Circle.png?width=50&name=Aslett.Matt%20Pic.Circle.png 50w, https://davidmenninger.isg-research.net/hs-fs/hubfs/_images/_team/Aslett.Matt%20Pic.Circle.png?width=100&name=Aslett.Matt%20Pic.Circle.png 100w, https://davidmenninger.isg-research.net/hs-fs/hubfs/_images/_team/Aslett.Matt%20Pic.Circle.png?width=150&name=Aslett.Matt%20Pic.Circle.png 150w, https://davidmenninger.isg-research.net/hs-fs/hubfs/_images/_team/Aslett.Matt%20Pic.Circle.png?width=200&name=Aslett.Matt%20Pic.Circle.png 200w, https://davidmenninger.isg-research.net/hs-fs/hubfs/_images/_team/Aslett.Matt%20Pic.Circle.png?width=250&name=Aslett.Matt%20Pic.Circle.png 250w, https://davidmenninger.isg-research.net/hs-fs/hubfs/_images/_team/Aslett.Matt%20Pic.Circle.png?width=300&name=Aslett.Matt%20Pic.Circle.png 300w"> <h5 class="analyst_name">Matt Aslett</h5> </a> </div> <div class="span6" style="text-align: center;"> <a href="https://matthewbrown.isg-research.net/"> <img class="analyst_img" style="width: 100px;" src="https://davidmenninger.isg-research.net/hs-fs/hubfs/_images/_team/profile_vr_matthew_brown_circle_900x900.png?width=100&name=profile_vr_matthew_brown_circle_900x900.png" alt="Matthew Brown" width="100" data-constrained="true" caption="false" sizes="(max-width: 100px) 100vw, 100px" srcset="https://davidmenninger.isg-research.net/hs-fs/hubfs/_images/_team/profile_vr_matthew_brown_circle_900x900.png?width=50&name=profile_vr_matthew_brown_circle_900x900.png 50w, https://davidmenninger.isg-research.net/hs-fs/hubfs/_images/_team/profile_vr_matthew_brown_circle_900x900.png?width=100&name=profile_vr_matthew_brown_circle_900x900.png 100w, https://davidmenninger.isg-research.net/hs-fs/hubfs/_images/_team/profile_vr_matthew_brown_circle_900x900.png?width=150&name=profile_vr_matthew_brown_circle_900x900.png 150w, https://davidmenninger.isg-research.net/hs-fs/hubfs/_images/_team/profile_vr_matthew_brown_circle_900x900.png?width=200&name=profile_vr_matthew_brown_circle_900x900.png 200w, https://davidmenninger.isg-research.net/hs-fs/hubfs/_images/_team/profile_vr_matthew_brown_circle_900x900.png?width=250&name=profile_vr_matthew_brown_circle_900x900.png 250w, https://davidmenninger.isg-research.net/hs-fs/hubfs/_images/_team/profile_vr_matthew_brown_circle_900x900.png?width=300&name=profile_vr_matthew_brown_circle_900x900.png 300w"> <h5 class="analyst_name">Matthew Brown</h5> </a> </div> </div>   <div class="row-fluid"> <div class="span6" style="text-align: center;"> <a href="https://robertkugel.isg-research.net"> <img class="analyst_img" style="width: 100px;" src="https://davidmenninger.isg-research.net/hs-fs/hubfs/_images/_team/Kugel.Robert%20Pic.Circle.png?width=100&name=Kugel.Robert%20Pic.Circle.png" alt="Robert Kugel" width="100" data-constrained="true" caption="false" sizes="(max-width: 100px) 100vw, 100px" srcset="https://davidmenninger.isg-research.net/hs-fs/hubfs/_images/_team/Kugel.Robert%20Pic.Circle.png?width=50&name=Kugel.Robert%20Pic.Circle.png 50w, https://davidmenninger.isg-research.net/hs-fs/hubfs/_images/_team/Kugel.Robert%20Pic.Circle.png?width=100&name=Kugel.Robert%20Pic.Circle.png 100w, https://davidmenninger.isg-research.net/hs-fs/hubfs/_images/_team/Kugel.Robert%20Pic.Circle.png?width=150&name=Kugel.Robert%20Pic.Circle.png 150w, https://davidmenninger.isg-research.net/hs-fs/hubfs/_images/_team/Kugel.Robert%20Pic.Circle.png?width=200&name=Kugel.Robert%20Pic.Circle.png 200w, https://davidmenninger.isg-research.net/hs-fs/hubfs/_images/_team/Kugel.Robert%20Pic.Circle.png?width=250&name=Kugel.Robert%20Pic.Circle.png 250w, https://davidmenninger.isg-research.net/hs-fs/hubfs/_images/_team/Kugel.Robert%20Pic.Circle.png?width=300&name=Kugel.Robert%20Pic.Circle.png 300w"> <h5 class="analyst_name">Robert Kugel</h5> </a> </div> <div class="span6" style="text-align: center;"> <a href="https://stephenhurrell.isg-research.net"> <img class="analyst_img" style="width: 100px;" src="https://davidmenninger.isg-research.net/hs-fs/hubfs/_images/_team/Hurrell.Stephen%20Pic.Circle.png?width=100&name=Hurrell.Stephen%20Pic.Circle.png" alt="Stephen Hurrell" width="100" data-constrained="true" caption="false" sizes="(max-width: 100px) 100vw, 100px" srcset="https://davidmenninger.isg-research.net/hs-fs/hubfs/_images/_team/Hurrell.Stephen%20Pic.Circle.png?width=50&name=Hurrell.Stephen%20Pic.Circle.png 50w, https://davidmenninger.isg-research.net/hs-fs/hubfs/_images/_team/Hurrell.Stephen%20Pic.Circle.png?width=100&name=Hurrell.Stephen%20Pic.Circle.png 100w, https://davidmenninger.isg-research.net/hs-fs/hubfs/_images/_team/Hurrell.Stephen%20Pic.Circle.png?width=150&name=Hurrell.Stephen%20Pic.Circle.png 150w, https://davidmenninger.isg-research.net/hs-fs/hubfs/_images/_team/Hurrell.Stephen%20Pic.Circle.png?width=200&name=Hurrell.Stephen%20Pic.Circle.png 200w, https://davidmenninger.isg-research.net/hs-fs/hubfs/_images/_team/Hurrell.Stephen%20Pic.Circle.png?width=250&name=Hurrell.Stephen%20Pic.Circle.png 250w, https://davidmenninger.isg-research.net/hs-fs/hubfs/_images/_team/Hurrell.Stephen%20Pic.Circle.png?width=300&name=Hurrell.Stephen%20Pic.Circle.png 300w"> <h5 class="analyst_name">Stephen Hurrell</h5> </a> </div> </div>   <div class="row-fluid">  <div style="text-align: center;"> <a href="https://blog.isg-research.net"> <img class="analyst_img" style="width: 100px;" 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href="https://davidmenninger.isg-research.net/topic/bi-platform">BI platform <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/big-data">Big Data <span class="filter-link-count" dir="ltr">(65)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/blockchain">blockchain <span class="filter-link-count" dir="ltr">(5)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/board-international">BOARD International <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/business-analytics">Business Analytics <span class="filter-link-count" dir="ltr">(60)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/business-collaboration">Business Collaboration <span class="filter-link-count" dir="ltr">(12)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/business-continuity">Business Continuity <span class="filter-link-count" dir="ltr">(2)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/business-intelligence">Business Intelligence <span class="filter-link-count" dir="ltr">(185)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/business-intelligence-3">business intelligence <span class="filter-link-count" dir="ltr">(27)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/business-intelligence-2">business intelligence <span class="filter-link-count" dir="ltr">(7)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/business-mobility">Business Mobility <span class="filter-link-count" dir="ltr">(5)</span></a> 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class="filter-link-count" dir="ltr">(12)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/cloud">Cloud <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/cloud-computing">Cloud Computing <span class="filter-link-count" dir="ltr">(61)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/cloudera">Cloudera <span class="filter-link-count" dir="ltr">(4)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/collaboration">Collaboration <span class="filter-link-count" dir="ltr">(89)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/collaboration-for-business">collaboration for business <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/collaborative-conversational-computing">Collaborative & Conversational Computing <span class="filter-link-count" dir="ltr">(6)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/collaborative-analytics">Collaborative Analytics <span class="filter-link-count" dir="ltr">(2)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/collaborative-computing">collaborative computing <span class="filter-link-count" dir="ltr">(3)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/complex-event-processing">Complex Event Processing <span class="filter-link-count" dir="ltr">(4)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/computer-vision">Computer Vision <span class="filter-link-count" dir="ltr">(3)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/conversational-computing">Conversational Computing <span class="filter-link-count" dir="ltr">(4)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/customer-contact-center">Customer & Contact Center <span class="filter-link-count" dir="ltr">(37)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/customer-experience">Customer Experience <span class="filter-link-count" dir="ltr">(2)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/customer-service">Customer Service <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/dashboards">Dashboards <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/data">Data <span class="filter-link-count" dir="ltr">(73)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/data-analytics">Data Analytics <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/data-catalog">Data catalog <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/data-governance">Data Governance <span class="filter-link-count" dir="ltr">(76)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/data-integration">Data Integration <span class="filter-link-count" dir="ltr">(29)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/data-intelligence">Data Intelligence <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/data-lake">Data Lake <span class="filter-link-count" dir="ltr">(4)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/data-lakes">data lakes <span class="filter-link-count" dir="ltr">(25)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/data-management">Data Management <span class="filter-link-count" dir="ltr">(24)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/data-operations">data operations <span class="filter-link-count" dir="ltr">(15)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/data-platforms">Data Platforms <span class="filter-link-count" dir="ltr">(2)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/data-preparation">Data Preparation <span class="filter-link-count" dir="ltr">(64)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/data-quality">Data Quality <span class="filter-link-count" dir="ltr">(6)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/data-science">Data Science <span class="filter-link-count" dir="ltr">(32)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/data-scientist">Data Scientist <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/data-storage">Data Storage <span class="filter-link-count" dir="ltr">(2)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/data-virtualization">Data Virtualization <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/data-visualization">Data Visualization <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/data-warehousing">Data Warehousing <span class="filter-link-count" dir="ltr">(12)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/database">Database <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/datameer">Datameer <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/dataops">dataops <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/datawatch">Datawatch <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/decision-intelligence">Decision Intelligence <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/deep-learning">Deep Learning <span class="filter-link-count" dir="ltr">(2)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/digital-business">Digital Business <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/digital-commerce">Digital Commerce <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/digital-technology">Digital Technology <span class="filter-link-count" dir="ltr">(82)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/domo">Domo 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href="https://davidmenninger.isg-research.net/topic/event-data">Event Data <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/event-stream-processing">Event Stream Processing <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/event-streams">Event Streams <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/exalytics">Exalytics <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/explorium">Explorium <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/extended-reality">extended reality <span class="filter-link-count" 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href="https://davidmenninger.isg-research.net/topic/governance-risk">Governance & Risk <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/governance-risk-compliance-grc">Governance, Risk & Compliance (GRC) <span class="filter-link-count" dir="ltr">(4)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/greenplum">Greenplum <span class="filter-link-count" dir="ltr">(2)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/hadoop">Hadoop <span class="filter-link-count" dir="ltr">(3)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/hortonworks">Hortonworks <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/hp">HP <span class="filter-link-count" 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href="https://davidmenninger.isg-research.net/topic/internet-of-things">Internet of Things <span class="filter-link-count" dir="ltr">(26)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/iot">IOT <span class="filter-link-count" dir="ltr">(4)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/it-analytics">IT Analytics <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/it-performance-management-itpm">IT Performance Management (ITPM) <span class="filter-link-count" dir="ltr">(23)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/it-service-management">IT Service Management <span class="filter-link-count" dir="ltr">(1)</span></a> </li> <li style="display:none;"> <a href="https://davidmenninger.isg-research.net/topic/itil">ITIL <span 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"@context": "http://schema.org", "@type": "BlogPosting", "headline": "Salesforce Wants Everyone to be an Einstein with AI", "mainEntityOfPage": "https://davidmenninger.isg-research.net/salesforce-wants-everyone-to-be-an-einstein-with-ai", "datePublished": "11/04/2024", "dateModified": "11/04/2024", "articleBody": "I recently attended the Salesforce Trailblazer DX event to learn more about Salesforce’s artificial intelligence products and strategy. Fueled by generative AI, awareness and investment in AI seems to be exploding. ISG research shows that enterprises plan to nearly triple the portion of budgets allocated to AI over the next two years. This doesn’t come as a big surprise when you look at the outcomes enterprises are achieving: Of those that have invested in AI, more than 8 in 10 (84%) have had positive outcomes. However, AI is not without its challenges. A lack of skills is the top issue organizations face. AI-related skills are the most difficult technical skills to hire and retain. There are also issues with trust and accuracy, among others. Salesforce is attempting to address some of these issues with its introduction of Einstein 1 Studio. The Trailblazer event is oriented more towards developers compared with the company’s flagship event, Dreamforce. And you will see that new capabilities are geared toward those building AI but with the objective of making more AI functionality available to end users of Salesforce applications. Salesforce’s Einstein represents a different, innovative approach to AI. Shortly after Einstein was introduced, we recognized it with our 2018 Digital Innovation Award. Einstein is an AI platform that is tightly coupled with the various applications Salesforce offers. The advantage of this approach is that it gets AI into the hands of line-of-business workers, where it can have the most impact. The disadvantage is that if you want to use it elsewhere, you will be disappointed. Einstein 1 Studio is a set of low-code/no-code tools that can configure and customize Einstein Copilot as well as the prompts and actions associated with it. The tools enable developers to work with both generative AI and predictive AI. Developers can choose which large language models to work with and import predictive models developed in other platforms. Prompt Builder enables the creation of reusable prompts to make it easier for end users to quickly generate responses they know are reliable. The product also includes prerelease capabilities to create prompt templates so a single prompt can be used across a variety of similar situations. Copilot Builder and Copilot Actions, both prerelease, support configuration and customization of Einstein Copilot. Developers can tie in other Salesforce tools, such as Apex, Flow and Mulesoft, to coordinate and complete tasks based on interactions with the Copilot. A number of significant enhancements to Salesforce Data Cloud are coupled with the Einstein functionality. Salesforce recognizes the need to have trusted data−often external to Salesforce−to support AI initiatives. As a result, it has invested in Data Cloud to provide an extensible customer data platform that meets those needs. As my colleague Matt Aslett explains, one of the ways to improve trust in generative AI is with vector search and retrieval-augmented generation. Data Cloud now includes a preview of vector database and vector search capabilities. It also includes a preview of support for unstructured content, an important element in generative AI implementations. Enterprises can now bring their data lake into the data cloud environment. The data does not have to be moved or copied; it can be accessed in place and treated like other Data Cloud data. Einstein 1 Studio and Data Cloud are certainly capable products that could potentially stand on their own. That’s not the way they are being delivered. These products are for use within the Salesforce ecosystem. Salesforce customers should be pleased with the new functionality, which is easily consumed from within the applications. The challenge will be for enterprises looking to combine AI efforts across the entire information estate. The new capabilities provide mechanisms to bring in external data and models, but there will still be a divide. Nonetheless, the capabilities of Einstein 1 Studio are compelling, and I encourage Salesforce customers to evaluate how to use them to enhance the value of applications with AI. Regards, David Menninger", "image": { "@type": "ImageObject", "url": "https://www.ventanaresearch.com/hubfs/Salesforce_Wants_Everyone_to_be_an_Einstein_with_AI.png", "height": 400, "width": 750 }, "author": { "@type": "Person", "name": "David Menninger", "url": "https://davidmenninger.isg-research.net/author/david-menninger", "sameAs": "http://www.linkedin.com/in/davidmenninger" }, "publisher": { "@type": "Organization", "name": "ISG", "url": "davidmenninger.isg-research.net", "logo": { "@type": "ImageObject", "url": "https://www.ventanaresearch.com/hubfs/ISG_Software_Research_Logo_Color@2x.png" } } }</script> <script type="application/ld+json"> { "@context": "http://schema.org", "@type": "BlogPosting", "headline": "Look Out: Computer Vision in AI is Coming Into Sight", "mainEntityOfPage": "https://davidmenninger.isg-research.net/look-out-computer-vision-in-ai-is-coming-into-sight", "datePublished": "21/02/2024", "dateModified": "21/02/2024", "articleBody": "Unstructured data has been a significant factor in data lakes and analytics for some time. Twelve years ago, nearly a third of enterprises were working with large amounts of unstructured data. As I’ve pointed out previously, unstructured data is really a misnomer. The data is structured; it's just not structured into rows and columns that fit neatly into a relational table like much of the other information enterprises process. Consequently, it requires different skills, different technology and more computing power to process this data. Our Analytics and Data Benchmark Research shows that nearly 6 in 10 enterprises (59%) have inadequate unstructured data management technology. A similar percentage (58%) had inadequate training in analyzing unstructured data. However, as computing power increases and the cost of storage decreases, it becomes much more practical to go deeper into the use of unstructured data. Perhaps that’s why more enterprises have not yet fully embraced computer vision. Several of our research studies, including our Analytics and Data Benchmark and ISG’s recent buyer behavior study on AI, suggest that only about 14% to 16% of enterprises are working with image or video data in production. In fact, we expect adoption will rise slowly. We assert that through 2026, only 1 in 5 enterprises will adopt computer vision applications to improve operations. As I have previously written, a major obstacle to further adoption of artificial intelligence applications is a lack of worker skills. However, we are beginning to see – pun intended – computer vision become a reality. ISG’s AI Study reveals that enterprises are experiencing success processing image data. One-quarter of enterprises are piloting applications that use artificial intelligence to interpret images. Another 4 in 10 (39%) are evaluating or expecting to evaluate applications. But what is more likely to drive adoption is the fact that enterprises are experiencing success. Among the enterprises that have deployed these types of applications, 8 in 10 report positive outcomes. While a couple of the widely known computer vision use cases –facial recognition and autonomous vehicles – are somewhat controversial, there are many practical use cases that can add value to enterprises today. Object detection is the foundation of many computer vision use cases. For instance, the presence or lack of presence of certain objects can indicate a problem. In the case of building security, the presence of an object detected to be a person in a restricted area could indicate a security breach. In quality control applications, detecting the presence of blemishes or other irregularities can minimize post-production product failures or returns. Retail store traffic analysis requires identifying people in particular locations and distinguishing those people from employees. Medical imaging use cases require identifying the presence of abnormalities. Utilities can employ computer vision for vegetation management by detecting trees and other growth near sensitive infrastructure. And enterprises are doing more than just interpreting images. One in 8 (13%) are using artificial intelligence to create visual assets, with nearly another two-thirds (61%) exploring these types of applications. In the same way that generative AI can be used to create text responses, it can also be used to create images and videos. While such applications have created concerns about deep fakes, there are many practical applications as well. For example, GenAI can be used for initial exploration of product designs. It can also be useful for advertising concept design and creating social media posts. In learning management systems, image and video generation can help make material more relatable and memorable. Enterprise success with creating visual assets approaches that of interpreting images. While slightly less cite many positive outcomes (35%), almost half (47%) report some positive outcomes. So, don’t wait to get blindsided by computer vision. Begin your investigation now. It will take time to acquire the skills you need to be successful, but the evidence suggests that the investment will be worthwhile. Regards, David Menninger", "image": { "@type": "ImageObject", "url": "https://www.ventanaresearch.com/hubfs/Look_Out_Computer_Vision_in_AI_is_Coming_Into_Sight.png", "height": 400, "width": 750 }, "author": { "@type": "Person", "name": "David Menninger", "url": "https://davidmenninger.isg-research.net/author/david-menninger", "sameAs": "http://www.linkedin.com/in/davidmenninger" }, "publisher": { "@type": "Organization", "name": "ISG", "url": "davidmenninger.isg-research.net", "logo": { "@type": "ImageObject", "url": "https://www.ventanaresearch.com/hubfs/ISG_Software_Research_Logo_Color@2x.png" } } }</script> <script type="application/ld+json"> { "@context": "http://schema.org", "@type": "BlogPosting", "headline": "2024 Market Agenda for Artificial Intelligence: Improving Productivity and Experiences", "mainEntityOfPage": "https://davidmenninger.isg-research.net/2024-market-agenda-for-artificial-intelligence-improving-productivity-and-experiences", "datePublished": "02/02/2024", "dateModified": "02/02/2024", "articleBody": "Ventana Research recently announced its 2024 Market Agenda for Artificial Intelligence, continuing the guidance we have offered for two decades to help enterprises derive optimal value from technology and improve business outcomes. The application of artificial intelligence and machine learning within enterprises is transforming analytics. Opportunities to take advantage of these technologies will increase over the coming year as software providers incorporate generative AI in products and automate more AI processes. Our upcoming research will explore the extent to which these advances reduce the skills needed to reap the full benefit of AI, but we assert that through 2026, more than one-half of enterprises will realize their AI competencies and skills are insufficient and will require new investments to avoid being at a competitive disadvantage. Only one-quarter of enterprises (23%) report they have the skills they need, while two-thirds (65%) report they need more skills. Unfortunately, enterprises are having the most difficulty finding and retaining those with AI skills. Finding and retaining those with cloud platform skills and those with data and database skills are also among the top five most challenging. AI involves the development of systems and software capable of automating tasks that have previously required human intelligence. It encompasses machine learning (ML), deep learning and GenAI to deliver capabilities including predictions, recommendations, personalization, speech and visual recognition as well as translation and summarization. To get the most out of AI systems, enterprises need to involve people in business and executive roles outside of the IT department in determining use cases and success metrics. As revealed by ISG’s recently completed AI Buyer Behavior Survey, the second most common challenge enterprises face is a lack of holistic, company-wide vision. Ventana Research offers research-based guidance on analytics and data to help enterprises enhance the value of information through the smarter use of data. Going beyond earlier methods of business intelligence, dashboards and reports is essential to ensure that everyone is able to not only access data but is also empowered to act on it to optimize the business. Our Artificial Intelligence expertise provides a holistic perspective that addresses both the use cases and requirements to successfully apply AI technologies. It includes six focus areas: Computer Vision, Deep Learning, Generative AI, Machine Learning Operations, Model Building including Large Language Models and Natural Language Processing. ISG’s AI Buyer Behavior Survey explores these topics, providing insights to guide decision-making, while we help enterprises assess, evaluate and select software providers through our Ventana Research Buyers Guides. Computer Vision Computer Vision refers to a type of AI that interprets image and video data to identify and classify objects and actions. Once interpreted, this data can provide an additional source of input to a variety of decision-making processes. Only 1 in 7 enterprises consider image or video data an important source of information for their analytics activities today, but ISG research shows that among those that have adopted AI, nearly three-quarters of enterprises (71%) report positive outcomes interpreting images. We assert that through 2026, 1 in 5 enterprises will adopt computer vision applications to monitor and improve their operations. In 2024, our Artificial Intelligence Buyers Guide research will include an assessment of a software providers’ computer vision capabilities. Deep Learning Deep Learning refers to a type of ML that utilizes neural networks with more than three layers to simulate the learning behavior of the human brain. Deep learning algorithms generally require large amounts of data and perform tasks such as image and speech recognition. Increases in processing power, including advances in GPUs, have made deep learning much more accessible. Without these advances, the cost and time required to execute deep learning algorithms were prohibitive for many use cases. As deep learning has become more affordable, in part due to cloud-based computing resources, we assert that through 2026, deep learning algorithms will continue to drive advances in natural language processing (NLP) and image recognition, enabling new use cases. In 2024, our Artificial Intelligence Buyers Guide research will include an assessment of a software providers’ deep learning capabilities. Generative AI Interest in and application of GenAI is exploding. The ISG study 2023 Future Workplace shows that 85% of enterprises believe that investment in GenAI technology in the next 24 months is important or critical. GenAI is being used successfully for NLP such as chatbots/assistants, extracting information from and summarizing documents, and assisting with software development tasks such as code generation and application migration. Nearly every software provider is incorporating GenAI into their products to make them easier to use and more efficient. Further insights into the provider landscape will be included in our 2024 Buyers Guides focused on Artificial Intelligence which contain a related Generative AI Buyers Guide. Machine Learning Operations Machine learning Operations (MLOps) focuses on the application of agile development, DevOps and lean manufacturing in support of AI. It encompasses model training, testing, deployment and orchestration of related data processing pipelines. While MLOps emerged prior to the explosion of interest in large language models (LLMs), the same techniques and concepts are being extended to encompass LLMs. I assert that by 2026, 4 in 5 enterprises will use MLOps and LLMOps to improve the quality and governance of their AI efforts. Further insights into the provider landscape will be included in our 2024 Buyers Guides focused on Artificial Intelligence which contain a related MLOps Buyers Guide. Model Building and Large Language Models The process of training, testing and tuning AI models, including LLMs, is a complicated process that requires highly skilled individuals and disciplined processes. As noted above, two-thirds of enterprises report they do not have the skills they need. Due in part to a lack of process, we assert that through 2026, model governance will remain a significant concern for more than one-half of enterprises, limiting the deployment and therefore the realized value of AI models. AI platforms have improved dramatically with capabilities such as hyperparameter optimization, but these platforms still require specialized knowledge. We expect to see the application of GenAI to further improve the ease of use. We will explore this and other elements of the model building process in our 2024 Buyers Guides focused on Artificial Intelligence. Natural Language Processing  Conversational computing is becoming an increasingly common part of user interfaces. Smart speakers and mobile assistants propelled consumer interest in natural language capabilities and now GenAI powered chatbots are creating an explosion of interest across both consumers and the workforce. Future enhancement with domain-specific and custom LLMs will make NLP more accurate and more broadly applicable over time. We also expect to see enterprises demanding more multilingual capabilities if NLP is to live up to its promise of reaching more of the workforce. We expect that by 2026, one-half of conversational analytics will incorporate multilingual capabilities to support a larger portion of enterprises’ employees. Subscribe to our Ventana Research community to stay up to date on our 2024 research efforts. Check out the Artificial Intelligence expertise and focus pages for our detailed research agenda and continuously updated 90-day calendar as well as more research facts and best practices. 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