{"id":11012,"date":"2020-11-05T05:28:41","date_gmt":"2020-11-05T05:28:41","guid":{"rendered":"https:\/\/www.experfy.com\/blog\/?p=11012"},"modified":"2023-10-10T14:09:20","modified_gmt":"2023-10-10T14:09:20","slug":"ways-ai-improving-new-product-development","status":"publish","type":"post","link":"https:\/\/www.experfy.com\/blog\/ai-ml\/ways-ai-improving-new-product-development\/","title":{"rendered":"10 Ways AI Is Improving New Product Development"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"11012\" class=\"elementor elementor-11012\" data-elementor-post-type=\"post\">\n\t\t\t\t\t\t<section class=\"has_eae_slider elementor-section elementor-top-section elementor-element elementor-element-44fe4d elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"44fe4d\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"has_eae_slider elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-20387bde\" data-id=\"20387bde\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"has_eae_slider elementor-section elementor-top-section elementor-element elementor-element-c4bb1e0 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"c4bb1e0\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"has_eae_slider elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-492fb18\" data-id=\"492fb18\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-32cea6b elementor-widget elementor-widget-text-editor\" data-id=\"32cea6b\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Startups&#8217; ambitious AI-based new product development is driving AI-related investment with $16.5B raised in 2019, driven by 695 deals according to PwC\/CB Insights MoneyTree Report, Q1 2020.<\/li><\/p>\n<p><li>AI expertise is a skill product development teams are ramping up their recruitment efforts to find, with over 7,800 open positions on Monster, over 3,400 on LinkedIn and over 4,200 on Indeed as of today.\u00a0 <\/li><\/p>\n<p><li>One in ten enterprises now uses ten or more AI applications, expanding the Total Available Market for new apps and related products, including chatbots, process optimization and fraud analysis, according to MMC Ventures.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-aa3e98f elementor-widget elementor-widget-text-editor\" data-id=\"aa3e98f\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>From startups to enterprises racing to get new products launched, AI and machine learning (ML) are making solid contributions to accelerating new product development. There are 15,400 job positions for DevOps and product development engineers with AI and machine learning today on Indeed, LinkedIn and Monster combined.\u00a0<a href=\"https:\/\/www.capgemini.com\/wp-content\/uploads\/2018\/06\/Digital-Engineering-Report_Digital1.pdf\" target=\"_blank\" rel=\"noreferrer noopener\" class=\"broken_link\">Capgemini predicts the size of the connected products market will range between $519B to $685B this year<\/a>\u00a0with AI and ML-enabled services revenue models becoming commonplace.<\/p>\n<p>&nbsp;<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"has_eae_slider elementor-section elementor-top-section elementor-element elementor-element-056bf84 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"056bf84\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"has_eae_slider elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-d1333d1\" data-id=\"d1333d1\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-4bb391f elementor-widget elementor-widget-text-editor\" data-id=\"4bb391f\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Rapid advances in AI-based apps, products and services will also force the consolidation of the IoT platform market. The IoT platform providers concentrating on business challenges in vertical markets stand the best chance of surviving the coming IoT platform shakeout. As AI and ML get more ingrained in new product development, the IoT platforms and ecosystems supporting smarter, more connected products need to make plans now how they&#8217;re going to keep up. Relying on technology alone, like many IoT platforms are today, isn&#8217;t going to be enough to keep up with the pace of change coming.\u00a0 \u00a0The following are 10 ways AI is improving new product development today:<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-da3b1c7 elementor-widget elementor-widget-text-editor\" data-id=\"da3b1c7\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><strong>14% of enterprises who are the most advanced using AI and ML for new product development earn more than 30% of their revenues from fully digital products or services and lead their peers is successfully using nine key technologies and tools.<\/strong> PwC found that Digital Champions are significantly ahead in generating revenue from new products and services and more than a fifth of champions (29%) earn more than 30% of revenues from new products within two years of information. Digital Champions have high expectations for gaining greater benefits from personalization as well. The following graphic from <a href=\"https:\/\/www.pwc.de\/de\/digitale-transformation\/pwc-studie-digital-product-development-2025.pdf\" target=\"_blank\" rel=\"noreferrer noopener\"> Digital Product Development 2025: Agile, Collaborative, AI-Driven and Customer Centric,<\/a> PwC, 2020 (PDF, 45 pp.) compares Digital Champions&#8217; success with AI and ML-based new product development tools versus their peers:<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"has_eae_slider elementor-section elementor-top-section elementor-element elementor-element-4e1534c elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"4e1534c\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"has_eae_slider elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-f087978\" data-id=\"f087978\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-081d77e elementor-widget elementor-widget-image\" data-id=\"081d77e\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img fetchpriority=\"high\" decoding=\"async\" width=\"959\" height=\"524\" src=\"https:\/\/www.experfy.com\/blog\/wp-content\/uploads\/2020\/11\/960x0.jpeg\" class=\"attachment-large size-large wp-image-33366\" alt=\"\" srcset=\"https:\/\/www.experfy.com\/blog\/wp-content\/uploads\/2020\/11\/960x0.jpeg 959w, https:\/\/www.experfy.com\/blog\/wp-content\/uploads\/2020\/11\/960x0-300x164.jpeg 300w, https:\/\/www.experfy.com\/blog\/wp-content\/uploads\/2020\/11\/960x0-768x420.jpeg 768w, https:\/\/www.experfy.com\/blog\/wp-content\/uploads\/2020\/11\/960x0-610x333.jpeg 610w, https:\/\/www.experfy.com\/blog\/wp-content\/uploads\/2020\/11\/960x0-750x410.jpeg 750w\" sizes=\"(max-width: 959px) 100vw, 959px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"has_eae_slider elementor-section elementor-top-section elementor-element elementor-element-59ae309 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"59ae309\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"has_eae_slider elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-c0c721e\" data-id=\"c0c721e\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-e045f0a elementor-widget elementor-widget-text-editor\" data-id=\"e045f0a\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><strong>61% of enterprises who are the most advanced using AI and ML (Digital Champions) use fully integrated Product Lifecycle Management (PLM) systems compared to just 12% of organizations not using AI\/ML today (Digital Novices).<\/strong> Product Development teams the most advanced in their use of AL &amp;amp; ML achieve greater economies of scale, efficiency and speed gains across the three core areas of development shown below. Digital Champions concentrate on gaining time-to-market and speed advantages in the areas of Digital Prototyping, PLM, co-creation of new products with customers, Product Portfolio Management and Data Analytics and AI adoption:<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"has_eae_slider elementor-section elementor-top-section elementor-element elementor-element-67c18ba elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"67c18ba\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"has_eae_slider elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-fa3eb76\" data-id=\"fa3eb76\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-73d5ba7 elementor-widget elementor-widget-image\" data-id=\"73d5ba7\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" width=\"959\" height=\"866\" src=\"https:\/\/www.experfy.com\/blog\/wp-content\/uploads\/2020\/11\/960x0-1.jpeg\" class=\"attachment-large size-large wp-image-33367\" alt=\"\" srcset=\"https:\/\/www.experfy.com\/blog\/wp-content\/uploads\/2020\/11\/960x0-1.jpeg 959w, https:\/\/www.experfy.com\/blog\/wp-content\/uploads\/2020\/11\/960x0-1-300x271.jpeg 300w, https:\/\/www.experfy.com\/blog\/wp-content\/uploads\/2020\/11\/960x0-1-768x694.jpeg 768w, https:\/\/www.experfy.com\/blog\/wp-content\/uploads\/2020\/11\/960x0-1-610x551.jpeg 610w, https:\/\/www.experfy.com\/blog\/wp-content\/uploads\/2020\/11\/960x0-1-750x677.jpeg 750w\" sizes=\"(max-width: 959px) 100vw, 959px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"has_eae_slider elementor-section elementor-top-section elementor-element elementor-element-acd2958 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"acd2958\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"has_eae_slider elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-63fbed8\" data-id=\"63fbed8\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-a64e2cb elementor-widget elementor-widget-text-editor\" data-id=\"a64e2cb\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><strong>AI is actively being used in the planning, implementation and fine-tuning of interlocking railway equipment product lines and systems.<\/strong> Engineer-to-order product strategies introduce an exponential number of product, service and network options. Optimizing product configurations require an AI-based logic solver that can factor in all constraints and create a Knowledge Graph to guide deployment. Siemens&#8217; approach to using AI to find the optimal configuration out of 10 <sup>90 <\/sup>possible combinations provides insights into how AI can help with new product development on a large scale. Source: Siemens, <a href=\"https:\/\/assets.new.siemens.com\/siemens\/assets\/public.1559011182.cb8f9288-6f4a-4568-b8fe-7a1c03deef5b.15-22-may-en-ai-presentation-sid-2019-dr--michael-may-en-final-0.pdf\" target=\"_blank\" rel=\"noreferrer noopener\" class=\"broken_link\">Next Level AI \u2013 Powered by Knowledge Graphs and Data Thinking, Siemens China Innovation Day, Michael May<\/a>, Chengdu, May 15, 2019.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"has_eae_slider elementor-section elementor-top-section elementor-element elementor-element-dbdfef4 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"dbdfef4\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"has_eae_slider elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-a3dd871\" data-id=\"a3dd871\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-b81f2e9 elementor-widget elementor-widget-image\" data-id=\"b81f2e9\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" width=\"958\" height=\"534\" src=\"https:\/\/www.experfy.com\/blog\/wp-content\/uploads\/2020\/11\/960x0-2.jpeg\" class=\"attachment-large size-large wp-image-33368\" alt=\"\" srcset=\"https:\/\/www.experfy.com\/blog\/wp-content\/uploads\/2020\/11\/960x0-2.jpeg 958w, https:\/\/www.experfy.com\/blog\/wp-content\/uploads\/2020\/11\/960x0-2-300x167.jpeg 300w, https:\/\/www.experfy.com\/blog\/wp-content\/uploads\/2020\/11\/960x0-2-768x428.jpeg 768w, https:\/\/www.experfy.com\/blog\/wp-content\/uploads\/2020\/11\/960x0-2-610x340.jpeg 610w, https:\/\/www.experfy.com\/blog\/wp-content\/uploads\/2020\/11\/960x0-2-750x418.jpeg 750w\" sizes=\"(max-width: 958px) 100vw, 958px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"has_eae_slider elementor-section elementor-top-section elementor-element elementor-element-4c2a0d3 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"4c2a0d3\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"has_eae_slider elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-50a8eab\" data-id=\"50a8eab\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-9462341 elementor-widget elementor-widget-text-editor\" data-id=\"9462341\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><strong>Eliminating the roadblocks to getting new products launched starts with using AI to improve demand forecast accuracy. <\/strong>Honeywell is using AI to reduce energy costs and negative price variance by tracking and analyzing price elasticity and price sensitivity as well. Honeywell is integrating AI and machine-learning algorithms into procurement, strategic sourcing and cost management getting solid returns across the new product development process. Source: <a href=\"https:\/\/www.honeywellprocess.com\/library\/news-and-events\/presentations\/2017-HUG-Honeywell-Connected-Plant-Analytics-and-Beyond.pdf\" target=\"_blank\" rel=\"noreferrer noopener\">Honeywell Connected Plant: Analytics and Beyond<\/a>. (23 pp., PDF, no opt-in) 2017 Honeywell User&#8217;s Group.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"has_eae_slider elementor-section elementor-top-section elementor-element elementor-element-2abfc14 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"2abfc14\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"has_eae_slider elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-92a6972\" data-id=\"92a6972\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-1b7e182 elementor-widget elementor-widget-image\" data-id=\"1b7e182\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img loading=\"lazy\" decoding=\"async\" width=\"959\" height=\"537\" src=\"https:\/\/www.experfy.com\/blog\/wp-content\/uploads\/2020\/11\/960x0-3.jpeg\" class=\"attachment-large size-large wp-image-33369\" alt=\"\" srcset=\"https:\/\/www.experfy.com\/blog\/wp-content\/uploads\/2020\/11\/960x0-3.jpeg 959w, https:\/\/www.experfy.com\/blog\/wp-content\/uploads\/2020\/11\/960x0-3-300x168.jpeg 300w, https:\/\/www.experfy.com\/blog\/wp-content\/uploads\/2020\/11\/960x0-3-768x430.jpeg 768w, https:\/\/www.experfy.com\/blog\/wp-content\/uploads\/2020\/11\/960x0-3-610x342.jpeg 610w, https:\/\/www.experfy.com\/blog\/wp-content\/uploads\/2020\/11\/960x0-3-750x420.jpeg 750w\" sizes=\"(max-width: 959px) 100vw, 959px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"has_eae_slider elementor-section elementor-top-section elementor-element elementor-element-c7c7110 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"c7c7110\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"has_eae_slider elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-f63e18b\" data-id=\"f63e18b\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-a9726ec elementor-widget elementor-widget-text-editor\" data-id=\"a9726ec\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><strong>Relying on AI-based techniques to create and fine-tune propensity models that define product line extensions and add-on products that deliver the most profitable cross-sell and up-sell opportunities by product line, customer segment and persona. <\/strong> It&#8217;s common to find data-driven new product development and product management teams using propensity models to define the products and services with the highest probability of being purchased. Too often, propensity models are based on imported data, built-in Microsoft Excel, making their ongoing use time-consuming. AI is streamlining creation, fine-tuning and revenue contributions of up-sell and cross-sell strategies by automating the entire progress. The screen below is an example of a propensity model created in Microsoft Power BI.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"has_eae_slider elementor-section elementor-top-section elementor-element elementor-element-de16cf9 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"de16cf9\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"has_eae_slider elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-61c61ae\" data-id=\"61c61ae\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-a05bafb elementor-widget elementor-widget-image\" data-id=\"a05bafb\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img loading=\"lazy\" decoding=\"async\" width=\"958\" height=\"442\" src=\"https:\/\/www.experfy.com\/blog\/wp-content\/uploads\/2020\/11\/960x0-4.jpeg\" class=\"attachment-large size-large wp-image-33370\" alt=\"\" srcset=\"https:\/\/www.experfy.com\/blog\/wp-content\/uploads\/2020\/11\/960x0-4.jpeg 958w, https:\/\/www.experfy.com\/blog\/wp-content\/uploads\/2020\/11\/960x0-4-300x138.jpeg 300w, https:\/\/www.experfy.com\/blog\/wp-content\/uploads\/2020\/11\/960x0-4-768x354.jpeg 768w, https:\/\/www.experfy.com\/blog\/wp-content\/uploads\/2020\/11\/960x0-4-610x281.jpeg 610w, https:\/\/www.experfy.com\/blog\/wp-content\/uploads\/2020\/11\/960x0-4-750x346.jpeg 750w\" sizes=\"(max-width: 958px) 100vw, 958px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"has_eae_slider elementor-section elementor-top-section elementor-element elementor-element-f52643c elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"f52643c\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"has_eae_slider elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-4ece359\" data-id=\"4ece359\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-9441f5d elementor-widget elementor-widget-text-editor\" data-id=\"9441f5d\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><strong>AI is enabling the next generation of frameworks that reduce time-to-market while improving product quality and flexibility in meeting unique customization requirements on every customer order<\/strong>. AI is making it possible to synchronize better suppliers, engineering, DevOps, product management, marketing, pricing, sales and service to ensure a higher probability of a new product succeeding in the market. Leaders in this area include\u00a0<a href=\"https:\/\/www.bmc.com\/corporate\/autonomous-digital-enterprise.html\" target=\"_blank\" rel=\"noreferrer noopener\">BMC&#8217;s Autonomous Digital Enterprise<\/a>\u00a0(ADE). BMC&#8217;s ADE framework shows the potential to deliver next-generation business models for growth-minded organizations looking to run and reinvent their businesses with AI\/ML capabilities and deliver value with competitive differentiation enabled by agility, customer centricity and actionable insights. The ADE framework is capable of flexing and responding more quickly to customer requirements than competitive frameworks due to the following five factors: proven ability to deliver a transcendent customer experience; automated customer interactions and operations across distributed organizations; seeing enterprise DevOps as natural evolution of software DevOps; creating the foundation for a data-driven business that operates with a data mindset and analytical capabilities to enable new revenue streams; and a platform well-suited for adaptive cybersecurity. Taken together, BMC&#8217;s ADE framework is what the future of digitally-driven business frameworks look like that can scale to support AI-driven new product development. The following graphic compares the BMC ADE framework (left) and the eight factors driving digital product development as defined by PwC (right) through their extensive research. For more information on\u00a0<a href=\"https:\/\/www.bmc.com\/corporate\/autonomous-digital-enterprise.html?vu=ade\" target=\"_blank\" rel=\"noreferrer noopener\"> BMC&#8217;s ADE framework, please see BMC&#8217;s Autonomous Digital Enterprise site.<\/a>\u00a0For additional information on PwC&#8217;s research, please see the document\u00a0<a href=\"https:\/\/www.pwc.de\/de\/digitale-transformation\/pwc-studie-digital-product-development-2025.pdf\" target=\"_blank\" rel=\"noreferrer noopener\"> Digital Product Development 2025: Agile, Collaborative, AI-Driven and Customer Centric,<\/a>\u00a0PwC, 2020 (PDF, 45 pp.).<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"has_eae_slider elementor-section elementor-top-section elementor-element elementor-element-954784c elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"954784c\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"has_eae_slider elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-f1cc15e\" data-id=\"f1cc15e\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-9ed0264 elementor-widget elementor-widget-image\" data-id=\"9ed0264\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img loading=\"lazy\" decoding=\"async\" width=\"958\" height=\"318\" src=\"https:\/\/www.experfy.com\/blog\/wp-content\/uploads\/2020\/11\/960x0-5.jpeg\" class=\"attachment-large size-large wp-image-33371\" alt=\"\" srcset=\"https:\/\/www.experfy.com\/blog\/wp-content\/uploads\/2020\/11\/960x0-5.jpeg 958w, https:\/\/www.experfy.com\/blog\/wp-content\/uploads\/2020\/11\/960x0-5-300x100.jpeg 300w, https:\/\/www.experfy.com\/blog\/wp-content\/uploads\/2020\/11\/960x0-5-768x255.jpeg 768w, https:\/\/www.experfy.com\/blog\/wp-content\/uploads\/2020\/11\/960x0-5-610x202.jpeg 610w, https:\/\/www.experfy.com\/blog\/wp-content\/uploads\/2020\/11\/960x0-5-750x249.jpeg 750w\" sizes=\"(max-width: 958px) 100vw, 958px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"has_eae_slider elementor-section elementor-top-section elementor-element elementor-element-66c8c2a elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"66c8c2a\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"has_eae_slider elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-2f42f7c\" data-id=\"2f42f7c\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-a6f56e1 elementor-widget elementor-widget-text-editor\" data-id=\"a6f56e1\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><strong> Using AI to analyze and provide recommendations on how product usability can be improved continuously. <\/strong>It&#8217;s common for DevOps, engineering and product management to run A\/B tests and multivariate tests to identify the usability features, workflows and app &amp;amp; service responses customers prefer. Based on personal experience, one of the most challenging aspects of new product development is designing an effective, engaging and intuitive user experience that turns usability into a strength for the product. When AI techniques are part of the core new product development cycle, including usability, delivering enjoyable customer experiences, becomes possible. Instead of a new app, service, or device is a chore to use, AI can provide insights to make the experience intuitive and even fun.<\/p>\n<ul>\n<li><strong>Forecasting demand for new products, including the causal factors that most drive new sales is an area AI is being applied to today with strong results.<\/strong> From the pragmatic approaches of asking channel partners, indirect and direct sales teams, how many of a new product they will sell to using advanced statistical models, there is a wide variation in how companies forecast demand for a next-generation product. AI and ML are proving to be valuable at taking into account causal factors that influence demand yet had not been known of before.<\/li>\n<\/ul>\n<p><br><\/p>\n<ul>\n<li><strong>Designing the next generation of Nissan vehicles using AI is streamlining new product development, trimming weeks off new vehicle development schedules.<\/strong> Nissan&#8217;s pilot program for using AI to fast-track new vehicle designs is called DriveSpark. It was launched in 2016 as an experimental program and has since proven valuable for accelerating new vehicle development while ensuring compliance and regulatory requirements are met. They&#8217;ve also used AI to extend the lifecycles of existing models as well. For more information, see the article, <a href=\"https:\/\/www.drivespark.com\/four-wheelers\/2016\/nissan-build-artificial-intelligence-017266.html\" target=\"_blank\" rel=\"noreferrer noopener\" class=\"broken_link\">DriveSpark, &#8220;Nissan&#8217;s Idea: Let An Artificial Intelligence Design Our Cars,&#8221; September 2016.<\/a><\/li>\n<li><strong style=\"color: var( --e-global-color-text );\">Using generative design algorithms that rely on machine learning techniques to factor in design constraints and provide an optimized product design. <\/strong><span style=\"color: var( --e-global-color-text );\">Having constraint-optimizing logic within a CAD design environment helps GM attain the goal of rapid prototyping. Designers provide definitions of the functional requirements, materials, manufacturing methods and other constraints. In May 2018, General Motors adopted Autodesk generative design software to optimize for weight and other key product criteria essential for the parts being designed to succeed with additive manufacturing. The solution was recently tested with the prototyping of a seatbelt bracket part, which resulted in a single-piece design that is 40% lighter and 20% stronger than the original eight component design. Please see the Harvard Business School case analysis, <a href=\"https:\/\/digital.hbs.edu\/platform-rctom\/submission\/project-dreamcatcher-can-generative-design-accelerate-additive-manufacturing\/\" target=\"_blank\" rel=\"noreferrer noopener\">Project Dreamcatcher: Can Generative Design Accelerate Additive Manufacturing? for additional information<\/a>.<\/span><\/li>\n<\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"has_eae_slider elementor-section elementor-top-section elementor-element elementor-element-a590fca elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"a590fca\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"has_eae_slider elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-4dd34c3\" data-id=\"4dd34c3\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-32d3a5f elementor-widget elementor-widget-heading\" data-id=\"32d3a5f\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Additional reading:<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"has_eae_slider elementor-section elementor-top-section elementor-element elementor-element-471fdef elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"471fdef\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"has_eae_slider elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-e792ba8\" data-id=\"e792ba8\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-fc027df elementor-widget elementor-widget-text-editor\" data-id=\"fc027df\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><a href=\"https:\/\/www.pwc.com\/us\/en\/services\/consulting\/library\/artificial-intelligence-predictions-2020.html\" target=\"_blank\" rel=\"noreferrer noopener\">2020 AI Predictions, Five ways to go from reality check to real-world payoff,<\/a> PwC Consulting<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-f7820f9 elementor-widget elementor-widget-text-editor\" data-id=\"f7820f9\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Accenture, <a href=\"https:\/\/www.accenture.com\/t20180327t080053z__w__\/us-en\/_acnmedia\/pdf-74\/accenture-pov-manufacturing-digital-final.pdf#zoom=50\" target=\"_blank\" rel=\"noreferrer noopener\" class=\"broken_link\">Manufacturing The Future, Artificial intelligence will fuel the next wave of growth for industrial equipment companies<\/a> (PDF, 20 pp., no opt-in)<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-57fbeb3 elementor-widget elementor-widget-text-editor\" data-id=\"57fbeb3\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><a href=\"https:\/\/image.s50.sfmc-content.com\/lib\/fe31117075640475701c74\/m\/1\/0e4bc8df-abeb-4462-b868-186509bc5143.pdf\" target=\"_blank\" rel=\"noreferrer noopener\">AI Priorities February 2020 5 ways to go from reality check to real-world pay off,<\/a> PwC, February, 2020 (PDF, 16 pp.)<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-703ce15 elementor-widget elementor-widget-text-editor\" data-id=\"703ce15\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Anderson, M. (2019). <a href=\"https:\/\/www.experfy.com\/blog\/ai-ml\/ten-ways-machine-learning-is-revolutionizing-manufacturing-in-2019\/\" target=\"_blank\" rel=\"noreferrer noopener\">Machine learning in manufacturing<\/a>.<em>\u00a0Automotive Design &amp;amp; Production, 131<\/em>(4), 30-32.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-f3c9e57 elementor-widget elementor-widget-text-editor\" data-id=\"f3c9e57\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Bruno, J. (2019). How the IIoT can change business models.<em> Manufacturing Engineering, 163<\/em>(1), 12.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-a4ab3c5 elementor-widget elementor-widget-text-editor\" data-id=\"a4ab3c5\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><a href=\"https:\/\/www.pwc.de\/de\/digitale-transformation\/digital-factories-2020-shaping-the-future-of-manufacturing.pdf\" target=\"_blank\" rel=\"noreferrer noopener\">Digital Factories 2020: Shaping The Future Of Manufacturing<\/a>, PwC DE., 2017 (PDF, 48 pp.)<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-f892b69 elementor-widget elementor-widget-text-editor\" data-id=\"f892b69\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><a href=\"https:\/\/www.pwc.de\/de\/digitale-transformation\/pwc-studie-digital-product-development-2025.pdf\" target=\"_blank\" rel=\"noreferrer noopener\">Digital Product Development 2025: Agile, Collaborative, AI Driven and Customer Centric,<\/a>\u00a0PwC, 2020 (PDF, 45 pp.)<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-e84dcb5 elementor-widget elementor-widget-text-editor\" data-id=\"e84dcb5\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><a href=\"https:\/\/www.mckinsey.com\/business-functions\/operations\/our-insights\/enabling-a-digital-and-analytics-transformation-in-heavy-industry-manufacturing\" target=\"_blank\" rel=\"noreferrer noopener\" class=\"broken_link\">Enabling a digital and analytics transformation in heavy-industry manufacturing<\/a>, McKinsey &amp;amp; Company, December 19, 2019<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-d155aba elementor-widget elementor-widget-text-editor\" data-id=\"d155aba\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><a href=\"https:\/\/www.strategyand.pwc.com\/gx\/en\/insights\/industry4-0.html\" target=\"_blank\" rel=\"noreferrer noopener\">Global Digital Operations 2018 Survey, Strategy&amp;amp,<\/a>\u00a0PwC, 2018<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-1e57188 elementor-widget elementor-widget-text-editor\" data-id=\"1e57188\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Governance and Management Economics, 7<\/em>(2), 31-36.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-281156a elementor-widget elementor-widget-text-editor\" data-id=\"281156a\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Greenfield, D. (2019). Advice on scaling IIoT projects.<em> ProFood World<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-c3f4738 elementor-widget elementor-widget-text-editor\" data-id=\"c3f4738\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Hayhoe, T., Podhorska, I., Siekelova, A., &amp;amp; Stehel, V. (2019). Sustainable manufacturing in industry 4.0: Cross-sector networks of multiple supply chains, cyber-physical production systems and AI-driven decision-making.<em> Journal of Self<\/em><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-c18d1ca elementor-widget elementor-widget-text-editor\" data-id=\"c18d1ca\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><a href=\"https:\/\/www.mckinsey.com\/business-functions\/operations\/our-insights\/industrys-fast-mover-advantage-enterprise-value-from-digital-factories\" target=\"_blank\" rel=\"noreferrer noopener\" class=\"broken_link\">Industry&#8217;s fast-mover advantage: Enterprise value from digital factories<\/a&#038;>, McKinsey &amp;amp; Company, January 10, 2020<br><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-fb5a750 elementor-widget elementor-widget-text-editor\" data-id=\"fb5a750\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Kazuyuki, M. (2019). <em>Digitalization of manufacturing process and open innovation: Survey results of small and medium-sized firms in japan<\/em>. St. Louis: Federal Reserve Bank of St Louis.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-569af4c elementor-widget elementor-widget-text-editor\" data-id=\"569af4c\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><a href=\"https:\/\/www.mckinsey.com\/business-functions\/operations\/our-insights\/lighthouse-manufacturers-lead-the-way\" target=\"_blank\" rel=\"noreferrer noopener\">&#8216;Lighthouse&#8217; manufacturers lead the way\u2014can the rest of the world keep up?\u00a0<\/a>\u00a0McKinsey &amp;amp; Company, January 7, 2019<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-d7d1554 elementor-widget elementor-widget-text-editor\" data-id=\"d7d1554\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><a href=\"https:\/\/emerj.com\/ai-sector-overviews\/machine-learning-in-manufacturing\/\" target=\"_blank\" rel=\"noreferrer noopener\">Machine Learning in Manufacturing \u2013 Present and Future Use-Cases<\/a>, Emerj Artificial Intelligence Research, last updated May 20, 2019, published by Jon Walker<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-94b7318 elementor-widget elementor-widget-text-editor\" data-id=\"94b7318\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Machine learning, AI are most impactful supply chain technologies. (2019).\u00a0<em>Material Handling &amp;amp; Logistics<\/em><\/p>\n<p>\u00a0<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-d014dd5 elementor-widget elementor-widget-text-editor\" data-id=\"d014dd5\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>MAPI Foundation,\u00a0<a href=\"https:\/\/mapifoundation.org\/manufacturing-evolution\" target=\"_blank\" rel=\"noreferrer noopener\">The Manufacturing Evolution: How AI Will Transform Manufacturing &amp;amp; the Workforce of the Future&lt;\/a<\u00a0by Robert D. Atkinson, Stephen Ezell, Information Technology and Innovation Foundation (PDF, 56 pp., opt-in)<\/p>\n<p>&nbsp;<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-d3778cc elementor-widget elementor-widget-text-editor\" data-id=\"d3778cc\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><a href=\"https:\/\/www.mckinsey.com\/business-functions\/operations\/our-insights\/mapping-heavy-industrys-digital-manufacturing-opportunities\" target=\"_blank\" rel=\"noreferrer noopener\">Mapping heavy industry&#8217;s digital-manufacturing opportunities<\/a>, McKinsey &amp;amp; Company, September 24, 2018<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-ccfa7af elementor-widget elementor-widget-text-editor\" data-id=\"ccfa7af\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>McKinsey, <a href=\"https:\/\/www.mckinsey.com\/business-functions\/mckinsey-analytics\/our-insights\/ai-in-production-a-game-changer-for-manufacturers-with-heavy-assets\" target=\"_blank\" rel=\"noreferrer noopener\" class=\"broken_link\">AI in production: A game changer for manufacturers with heavy assets<\/a>, by Eleftherios Charalambous, Robert Feldmann, G\u00e9rard Richter and Christoph Schmitz<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-28bc9ee elementor-widget elementor-widget-text-editor\" data-id=\"28bc9ee\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>McKinsey, <a href=\"https:\/\/www.mckinsey.com\/~\/media\/mckinsey\/business%20functions\/operations\/our%20insights\/how%20digital%20manufacturing%20can%20escape%20pilot%20purgatory\/digital-manufacturing-escaping-pilot-purgatory.ashx\" target=\"_blank\" rel=\"noreferrer noopener\" class=\"broken_link\">Digital Manufacturing \u2013 escaping pilot purgatory<\/a> (PDF, 24 pp., no opt-in)<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-a22bd45 elementor-widget elementor-widget-text-editor\" data-id=\"a22bd45\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>McKinsey, <a href=\"https:\/\/www.mckinsey.com\/~\/media\/McKinsey\/Business%20Functions\/McKinsey%20Digital\/Our%20Insights\/Driving%20impact%20at%20scale%20from%20automation%20and%20AI\/Driving-impact-at-scale-from-automation-and-AI.ashx\" target=\"_blank\" rel=\"noreferrer noopener\" class=\"broken_link\">Driving Impact and Scale from Automation and AI<\/a>, February 2019 (PDF, 100 pp., no opt-in).<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-cc8a824 elementor-widget elementor-widget-text-editor\" data-id=\"cc8a824\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>McKinsey<a href=\"https:\/\/www.mckinsey.com\/business-functions\/operations\/our-insights\/lighthouse-manufacturers-lead-the-way\" target=\"_blank\" rel=\"noreferrer noopener\" class=\"broken_link\">, &#8216;Lighthouse&#8217; manufacturers, lead the way\u2014can the rest of the world keep up? <\/a>by Enno de Boer, Helena Leurent and Adrian Widmer; January, 2019.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-1e59f59 elementor-widget elementor-widget-text-editor\" data-id=\"1e59f59\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>McKinsey, <a href=\"https:\/\/www.mckinsey.com\/business-functions\/operations\/our-insights\/manufacturing-analytics-unleashes-productivity-and-profitability\" target=\"_blank\" rel=\"noreferrer noopener\" class=\"broken_link\"> Manufacturing: Analytics unleashes productivity and profitability<\/a>, by Valerio Dilda, Lapo Mori, Olivier Noterdaeme and Christoph Schmitz, March, 2019<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-80a81d8 elementor-widget elementor-widget-text-editor\" data-id=\"80a81d8\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>McKinsey\/Harvard Business Review, <a href=\"https:\/\/www.mckinsey.com\/business-functions\/mckinsey-analytics\/our-insights\/most-of-ais-business-uses-will-be-in-two-areas\" target=\"_blank\" rel=\"noreferrer noopener\" class=\"broken_link\">Most of AI&#8217;s business uses will be in two areas,<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-19dea6e elementor-widget elementor-widget-text-editor\" data-id=\"19dea6e\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Morey, B. (2019). Manufacturing and AI: Promises and pitfalls.&lt;em&gt; Manufacturing Engineering, 163<\/em>(1), 10.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-d2ff8a8 elementor-widget elementor-widget-text-editor\" data-id=\"d2ff8a8\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><a href=\"https:\/\/www.mckinsey.com\/business-functions\/operations\/our-insights\/preparing-for-the-next-normal-via-digital-manufacturings-scaling-potential\" target=\"_blank\" rel=\"noreferrer noopener\">Preparing for the next normal via digital manufacturing&#8217;s scaling potential<\/a>, McKinsey &amp;amp; Company, April 10, 2020<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-d85db7a elementor-widget elementor-widget-text-editor\" data-id=\"d85db7a\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Reducing the barriers to entry in advanced analytics. (2019).\u00a0<em>Manufacturing.Net<\/em><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-5cf3ac0 elementor-widget elementor-widget-text-editor\" data-id=\"5cf3ac0\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><a href=\"https:\/\/www.capgemini.com\/research\/scaling-ai-in-manufacturing-operations\/\" target=\"_blank\" rel=\"noreferrer noopener\">Scaling AI in Manufacturing Operations: A Practitioners Perspective<\/a>, Capgemini, January, 2020<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-c4411ae elementor-widget elementor-widget-text-editor\" data-id=\"c4411ae\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Seven ways real-time monitoring is driving smart manufacturing. (2019). <em>Manufacturing.Net,<\/em><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-c73ddc0 elementor-widget elementor-widget-text-editor\" data-id=\"c73ddc0\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Siemens,\u00a0<a href=\"https:\/\/assets.new.siemens.com\/siemens\/assets\/public.1559011182.cb8f9288-6f4a-4568-b8fe-7a1c03deef5b.15-22-may-en-ai-presentation-sid-2019-dr--michael-may-en-final-0.pdf\" target=\"_blank\" rel=\"noreferrer noopener\" class=\"broken_link\">Next Level AI \u2013 Powered by Knowledge Graphs and Data Thinking, Siemens China Innovation Day, Michael May<\/a>, Chengdu, May 15, 2019<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-6bfddd5 elementor-widget elementor-widget-text-editor\" data-id=\"6bfddd5\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><a href=\"https:\/\/manufacturingpolicy.indiana.edu\/doc\/Smart%20Factories.pdf\" target=\"_blank\" rel=\"noreferrer noopener\" class=\"broken_link\">Smart Factories: Issues of Information Governance Manufacturing Policy Initiative School of Public and Environmental Affairs Indiana University, March 2019<\/a>\u00a0(PDF, 68 pp., no opt-in)<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-c2a993c elementor-widget elementor-widget-text-editor\" data-id=\"c2a993c\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><a href=\"https:\/\/www.mckinsey.de\/files\/170419_mckinsey_ki_final_m.pdf\" target=\"_blank\" rel=\"noreferrer noopener\" class=\"broken_link\">Smartening up with Artificial Intelligence (AI) &#8211; What&#8217;s in it for Germany and its Industrial Sector?<\/a>(52 pp., PDF, no opt-in) McKinsey Company.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-c4c9fb3 elementor-widget elementor-widget-text-editor\" data-id=\"c4c9fb3\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Team predicts the useful life of batteries with data and AI. (2019, March 28).\u00a0<em>R &amp;amp; D.<\/em><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-7cb3106 elementor-widget elementor-widget-text-editor\" data-id=\"7cb3106\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><a href=\"https:\/\/www.capgemini.com\/us-en\/research\/the-ai-powered-enterprise\/\" target=\"_blank\" rel=\"noreferrer noopener\" class=\"broken_link\">The AI-powered enterprise: Unlocking the potential of AI at scale<\/a>, Capgemini Research, July 2020<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-8bd0e00 elementor-widget elementor-widget-text-editor\" data-id=\"8bd0e00\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><a href=\"https:\/\/3er1viui9wo30pkxh1v2nh4w-wpengine.netdna-ssl.com\/wp-content\/uploads\/prod\/sites\/393\/2019\/06\/Microsoft_TheFutureComputed_AI_MFG_Final_Online.pdf\" target=\"_blank\" rel=\"noreferrer noopener\">The Future of AI and Manufacturing<\/a>, Microsoft, Greg Shaw (PDF, 73 pp., PDF, no opt-in).<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-8f82695 elementor-widget elementor-widget-text-editor\" data-id=\"8f82695\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><a href=\"https:\/\/www.bcg.com\/publications\/2020\/business-applications-artificial-intelligence-post-covid.aspx\" target=\"_blank\" rel=\"noreferrer noopener\" class=\"broken_link\">The Rise of the AI-Powered Company in the Postcrisis World<\/a>, Boston Consulting Group, April 2, 2020<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-46c7c9d elementor-widget elementor-widget-text-editor\" data-id=\"46c7c9d\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><a href=\"https:\/\/medium.com\/activewizards-machine-learning-company\/top-8-data-science-use-cases-in-manufacturing-749256b8f1ee\" target=\"_blank\" rel=\"noreferrer noopener\" class=\"broken_link\">Top 8 Data Science Use Cases in Manufacturing<\/a>, ActiveWizards: A Machine Learning Company Igor Bobriakov, March 12, 2019<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-69ecdb9 elementor-widget elementor-widget-text-editor\" data-id=\"69ecdb9\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Walker, M. E. (2019). Armed with analytics: Manufacturing as a martial art.<em> Industry Week<\/em><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-ef12fc1 elementor-widget elementor-widget-text-editor\" data-id=\"ef12fc1\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Wang, J., Ma, Y., Zhang, L., Gao, R. X., &amp;amp; Wu, D. (2018). Deep learning for smart manufacturing: Methods and applications. Journal of Manufacturing Systems, 48, 144\u2013156.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-04caea0 elementor-widget elementor-widget-text-editor\" data-id=\"04caea0\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Zulick, J. (2019). How machine learning is transforming industrial production.<em>\u00a0Machine Design.<\/em><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>From startups to enterprises racing to get new products launched, AI and machine learning (ML) are making solid contributions to accelerating new product development.<\/p>\n","protected":false},"author":138,"featured_media":11013,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"content-type":"","footnotes":""},"categories":[183],"tags":[97,92,913],"ppma_author":[2679],"class_list":["post-11012","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ai-ml","tag-artificial-intelligence","tag-machine-learning","tag-new-product-development"],"authors":[{"term_id":2679,"user_id":138,"is_guest":0,"slug":"louis-columbus","display_name":"Louis Columbus","avatar_url":"https:\/\/www.experfy.com\/blog\/wp-content\/uploads\/2020\/04\/medium_65812956-54d2-4b01-9e05-0d23abb284c7-150x150.jpg","user_url":"https:\/\/softwarestrategiesblog.com\/","last_name":"Columbus","first_name":"Louis","job_title":"","description":"Louis Columbus is currently serving as Principal, IQMS. He is Marketing and Product Management Leader, Forbes Columnist, Software Expertise in Analytics, Cloud, CPQ &amp; ERP Solutions. He teaches MBA courses in international business, global competitive strategies, international market research, and capstone courses in strategic planning and market research. He has taught at California State University, Fullerton: University of California, Irvine; Marymount University, and Webster University."}],"_links":{"self":[{"href":"https:\/\/www.experfy.com\/blog\/wp-json\/wp\/v2\/posts\/11012","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.experfy.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.experfy.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.experfy.com\/blog\/wp-json\/wp\/v2\/users\/138"}],"replies":[{"embeddable":true,"href":"https:\/\/www.experfy.com\/blog\/wp-json\/wp\/v2\/comments?post=11012"}],"version-history":[{"count":9,"href":"https:\/\/www.experfy.com\/blog\/wp-json\/wp\/v2\/posts\/11012\/revisions"}],"predecessor-version":[{"id":33377,"href":"https:\/\/www.experfy.com\/blog\/wp-json\/wp\/v2\/posts\/11012\/revisions\/33377"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.experfy.com\/blog\/wp-json\/wp\/v2\/media\/11013"}],"wp:attachment":[{"href":"https:\/\/www.experfy.com\/blog\/wp-json\/wp\/v2\/media?parent=11012"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.experfy.com\/blog\/wp-json\/wp\/v2\/categories?post=11012"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.experfy.com\/blog\/wp-json\/wp\/v2\/tags?post=11012"},{"taxonomy":"author","embeddable":true,"href":"https:\/\/www.experfy.com\/blog\/wp-json\/wp\/v2\/ppma_author?post=11012"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}