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report having actively deployed AI in their business. </div><div class="wd_subtitle wd_language_left">- An additional 40% are currently exploring or experimenting with AI but have not deployed their models. </div><div class="wd_subtitle wd_language_left">- However, 59% of those companies surveyed already exploring or deploying AI say they have accelerated their rollout or investments in the technology. </div><div class="wd_subtitle wd_language_left">- The top barriers preventing deployment include limited AI skills and expertise (33%), too much data complexity (25%), and ethical concerns (23%). </div> <div class="wd_date">Jan 10, 2024</div> <div class="wd_captioned_image" style="float: left; margin: 10px 10px 10px 0px; width: 1921px;"> <div class="wd_image"><img src="/image/AI+Adoption+Index_Banner.png" border="0"/></div> </div> </div> <div class="wd_toolbar wd_toolbar-detail"><ul class="wd_tools"><li class="wd_tool wd_tool-print"><span class="wd_tool_icon"><a 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class="legendSpanClass"><span class="xn-location">ARMONK, N.Y.</span></span>, <span class="legendSpanClass"><span class="xn-chron">Jan. 10, 2024</span></span> /<a href="http://www.prnewswire.com/" target="_blank">PRNewswire</a>/ -- New research commissioned by IBM (NYSE: <a href="http://www.ibm.com/investor" rel="nofollow" target="_blank">IBM</a>) found that about 42% of enterprise-scale organizations (over 1,000 employees) surveyed have AI actively in use in their businesses. Early adopters are leading the way, with 59% of responding enterprises already working with AI intending to accelerate and increase investment in the technology. Ongoing challenges for AI adoption in enterprises remain, including hiring employees with the right skillsets, data complexity, and ethical concerns continue to inhibit businesses from adopting AI technologies into their operations. </p> <p><span>Experience the interactive Multimedia News Release here: <a href="https://www.multivu.com/players/English/9240059-ibm-2023-global-ai-adoption-index-report/" rel="nofollow" target="_blank">https://www.multivu.com/players/English/9240059-ibm-2023-global-ai-adoption-index-report/</a> </span></p> <div dir="ltr" id="prni_dvprnejpg65eeleft" style="width: 100%; text-align: left;"><img align="middle" alt="IBM Global AI Adoption Index" id="prnejpg65eeleft" src="https://www.multivu.com/players/English/9240059-ibm-2023-global-ai-adoption-index-report/image/0_1704814470115-HR.jpg" style="width: 400px;" title="IBM Global AI Adoption Index" /></div> <p><br /> "We're seeing that the early adopters who overcame barriers to deploy AI are making further investments, proving to me that they are already experiencing the benefits from AI. More accessible AI tools, the drive for automation of key processes, and increasing amounts of AI embedded into off-the-shelf business applications are top factors driving the expansion of AI at the enterprise level," said <span class="xn-person">Rob Thomas</span>, Senior Vice President, IBM Software. "We see organizations leveraging AI for use cases where I believe the technology can most quickly have a profound impact like IT automation, digital labor, and customer care. For the 40% of companies surveyed stuck in the sandbox, I am confident 2024 will be the year of tackling and overcoming barriers to entry like the skills gap and data complexity." </p> <p>Highlights from the "IBM Global AI Adoption Index 2023," conducted by Morning Consult on behalf of IBM, include: </p> <p><b>Over the last several years, AI adoption has remained steady at large organizations surveyed:</b>  </p> <ul type="disc"> <li>Today, 42% of IT professionals at large organizations report that they have actively deployed AI while an additional 40% are actively exploring using the technology. </li> <li>Additionally, 38% of IT professionals at enterprises report that their company is actively implementing generative AI and another 42% are exploring it. </li> <li>Organizations in <span class="xn-location">India</span> (59%), the UAE (58%), <span class="xn-location">Singapore</span> (53%), and <span class="xn-location">China</span> (50%) are leading the way in active use of AI, compared with lagging markets like <span class="xn-location">Spain</span> (28%), <span class="xn-location">Australia</span> (29%), and <span class="xn-location">France</span> (26%).</li> <li>Companies within the financial services industry are most likely to be using AI, with about half of IT professionals within that industry reporting their company has actively deployed AI. 37% of IT professionals within the telecommunications industry state that their company is also deploying AI. </li> </ul> <p><b>The majority of surveyed companies actively deploying or exploring AI have accelerated their rollout or investments in the past 24 months: </b> </p> <ul type="disc"> <li>59% of IT professionals at companies deploying or exploring AI indicate that their company has accelerated their investments in or rollout of AI in the past 24 months.</li> <li>China (85%), India (74%), and the UAE (72%) are the markets most likely to be accelerating AI rollout, while businesses in the UK (40%), Australia (38%) and Canada (35%) were the least likely to accelerate the rollout. </li> <li>Research and development (44%) and reskilling/workforce development (39%) are the top AI investments at organizations exploring or deploying AI. </li> </ul> <p><b>Easier to use AI tools and the need to reduce costs and automate processes are driving AI adoption among surveyed companies:</b> </p> <ul type="disc"> <li>Advances in AI tools that make them more accessible (45%), the need to reduce costs and automate key processes (42%), and the increasing amount of AI embedded into standard off the shelf business applications (37%) are the top factors driving AI adoption. </li> <li>For IT professionals, the two most important changes to AI in recent years are solutions that are easier to deploy (43%) and the increased prevalence of data, AI, and automation skills (42%). </li> <li>The AI use cases driving adoption for surveyed companies currently exploring or deploying AI are not limited, but cut across many key areas of business operations: <ul type="disc"> <li>Automation of IT processes (33%)</li> <li>Security and threat detection (26%)</li> <li>AI monitoring or governance (25%) </li> <li>Business analytics or intelligence (24%) </li> <li>Automating processing, understanding, and flow of documents (24%)</li> <li>Automating customer or employee self-service answers and actions (23%) </li> <li>Automation of business processes (22%) </li> <li>Automation of network processes (22%)</li> <li>Digital labor (22%)</li> <li>Marketing and sales (22%)</li> <li><span>Fraud</span> detection (22%)</li> <li>Search and knowledge discovery (21%)</li> <li>Human resources and talent acquisition (19%)</li> <li>Financial planning and analysis (18%)</li> <li>Supply chain intelligence (18%) </li> </ul> </li> </ul> <p><b>The same set of barriers are keeping the next wave of surveyed companies from benefiting from AI:</b></p> <ul type="disc"> <li>The top barriers hindering successful AI adoption at enterprises both exploring or deploying AI are limited AI skills and expertise (33%), too much data complexity (25%), ethical concerns (23%), AI projects that are too difficult to integrate and scale (22%), high price (21%), and lack of tools for AI model development (21%). </li> </ul> <p><b>Generative AI poses different barriers to entry from traditional AI models:</b> </p> <ul type="disc"> <li>Data privacy (57%) and trust and transparency (43%) concerns are the biggest inhibitors of generative AI according to IT professionals at surveyed organizations not exploring or implementing generative AI.</li> <li>35% also say that lack of skills for implementation are a big inhibitor. </li> </ul> <p><b>Among surveyed organizations, AI is already having an impact on the workforce: </b> </p> <ul type="disc"> <li>One-in-five organizations report they do not have employees with the right skills in place to use new AI or automation tools and 16% cannot find new hires with the skills to address that gap.</li> <li>Among companies citing AI's use to address labor or skills shortages, they are tapping AI to do things like reduce manual or repetitive tasks with automation tools (55%) or automate customer self-service answers and actions (47%).</li> <li>Only 34% are currently training or reskilling employees to work together with new automation and AI tools. </li> </ul> <p><b>The need for trustworthy and governed AI is understood by IT professionals, but barriers are making it difficult for surveyed companies to put into practice:</b> </p> <ul type="disc"> <li>IT professionals are largely in agreement that consumers are more likely to choose services from companies with transparent and ethical AI practices (85% strongly or somewhat agree) and say being able to explain how their AI reached a decision is important to their business (83% among companies exploring or deploying AI).</li> <li>But, with many companies already deploying AI facing multiple barriers in the process, well under half report they are taking key steps towards trustworthy AI like reducing bias (27%), tracking data provenance (37%), making sure they can explain the decisions of their AI models (41%), or developing ethical AI policies (44%). </li> </ul> <p><b>Methodology:</b><br /> This survey was conducted in <span class="xn-chron">November 2023</span> among a representative sample of 8,584 IT Professionals in <span class="xn-location">Australia</span>, <span class="xn-location">Canada</span>, <span class="xn-location">China</span>, <span class="xn-location">France</span>, <span class="xn-location">Germany</span>, <span class="xn-location">India</span>, <span class="xn-location">Italy</span>, <span class="xn-location">Japan</span>, <span class="xn-location">Singapore</span>, <span class="xn-location">South Korea</span>, <span class="xn-location">Spain</span>, UAE, UK, US and LATAM (<span class="xn-location">Argentina</span>, <span class="xn-location">Brazil</span>, <span class="xn-location">Chile</span>, <span class="xn-location">Colombia</span>, <span class="xn-location">Mexico</span>, and <span class="xn-location">Peru</span>). To qualify for the survey, participants must be employed full-time, work at companies with more than 1 employee, work in a manager or higher-level role, and have at least some knowledge about how IT operates and is used by their company. The global results have a margin of error of +/- 1 percentage point.</p> <p><b>About IBM:</b><br /> IBM is a leading provider of global hybrid cloud and AI, and consulting expertise. We help clients in more than 175 countries capitalize on insights from their data, streamline business processes, reduce costs and gain the competitive edge in their industries. More than 4,000 government and corporate entities in critical infrastructure areas such as financial services, telecommunications and healthcare rely on IBM's hybrid cloud platform and Red Hat OpenShift to affect their digital transformations quickly, efficiently and securely. IBM's breakthrough innovations in AI, quantum computing, industry-specific cloud solutions and consulting deliver open and flexible options to our clients. All of this is backed by IBM's long-standing commitment to trust, transparency, responsibility, inclusivity and service.</p> <p><br /> <b>Media Contact:</b><br /> <br /> <span class="xn-person">Sarah Benchaita</span><br /> IBM Media Relations<br /> <a href="mailto:sarah.benchaita@ibm.com" rel="nofollow" target="_blank">sarah.benchaita@ibm.com</a></p> <p> </p> <div dir="ltr" id="prni_dvprnejpg0073left" style="width: 100%; text-align: left;"><img align="middle" alt="ibm_logo" id="prnejpg0073left" src="https://mma.prnewswire.com/media/95470/4485860/ibm_logo.jpg" title="ibm_logo" /></div> <p> </p> <p>SOURCE IBM</p> </div> <ul class="wd_layout-simple assets_list"><li class="asset_item"><a href="https://www.multivu.com/players/English/9240059-ibm-2023-global-ai-adoption-index-report/image/0_1704814470115-HR.jpg">0_1704814470115-HR</a></li><li class="asset_item"><a href="https://newsroom.ibm.com/image/AI+Adoption+Index_2024_1.png">Global AI adoption & exploration numbers by country</a></li><li class="asset_item"><a href="https://newsroom.ibm.com/image/AI+Adoption+Index_2024_2.png">How enterprises plan to invest in AI over next 12 months</a></li><li class="asset_item"><a href="https://newsroom.ibm.com/image/AI+Adoption+Index_2024_3.png">Top barriers hindering enterprises from successful AI adoption</a></li><li class="asset_item"><a href="https://newsroom.ibm.com/image/AI+Adoption+Index_2024_4.png">Enterprises are taking steps to build trustworthy AI, but more progress is needed</a></li><li class="asset_item"><a href="https://newsroom.ibm.com/image/AI+Adoption+Index_2024_5.png">Top factors helping drive AI adoption in organizations</a></li><li class="asset_item"><a href="https://newsroom.ibm.com/image/AI+Adoption+Index_2024_6.png">Most common enterprise applications of AI and automation today</a></li></ul> <div class="bx--btn bx--btn--primary wd_subscribe" role="button" tabindex="0" aria-label="Subscribe to email"><a href="subscribe">Subscribe to email</a></div> <h4>Release Categories</h4> <ul class="wd_layout-inline wd_category_link_list"><li class="wd_category_link"><div class="wd_category_808 wd_parent_4307898"><a href="https://newsroom.ibm.com/press-releases-artificial-intelligence" class="wd_category_808 wd_parent_4307898">Artificial intelligence</a></div></li></ul>  </div> </div> </div> </div> <div class="cds--col-span-3 ibm-mb-3 ibm-mt-5 wd_right_rail_wrapper"> <div class="wd_featureboxes_right wd_featureboxes-vertical"> <div id="wd_featurebox-teaser_1437" class="wd_featurebox_container wd_featurebox-teaser"><div class="wd_featurebox_title">more articles</div><div class="wd_featurebox"> <div class="wd_standard-teaser"> <div class="item"><div class="item_name"><a href="https://newsroom.ibm.com/index.php?s=20317&item=33724" class="itemlink"><a href="https://newsroom.ibm.com/Blog-Expand-hybrid-cloud-and-AI-adoption-with-IBM-Power-Virtual-Server-to-boost-competitive-advantage">Expand hybrid cloud and AI adoption with IBM Power Virtual Server to boost competitive advantage</a></a></div></div> <div class="item"><div class="item_name"><a href="https://newsroom.ibm.com/index.php?s=20317&item=33723" class="itemlink"><a href="https://newsroom.ibm.com/IBM-to-drive-enterprise-ready-AI-adoption-at-scale-in-collaboration-with-NVIDIA">IBM to drive enterprise-ready AI adoption at scale in collaboration with NVIDIA</a></a></div></div> <div class="item"><div class="item_name"><a href="https://newsroom.ibm.com/index.php?s=20317&item=33722" class="itemlink"><a href="https://www.ibm.com/blog/b7-eu-ai-act/" target=”_blank”>AI will change the world—the terms are up to us</a></a></div></div> </div> </div></div></div> <div class="wd_sidebar_search">  </div> <div class="bx--btn bx--btn--tertiary ibm-mt-4 wd_subscribe" role="button" tabindex="0" aria-label="Subscribe to email"> <a href="subscribe">Subscribe to email</a> </div>  </div> </div> </section> </div> </div> </div> </div> </main> </div> </div> <script type="module" src="https://1.www.s81c.com/common/carbon-for-ibm-dotcom/tag/v1/latest/footer.min.js"></script>   <dds-footer-container></dds-footer-container>  <script type="text/javascript" src="slick/slick.min.js"></script> <script src="js/wd_js.js"></script> <script> $(document).ready(function() { $('.wd_subscribe a').addClass('wd_fancybox').attr('href', function(i, href) { return href + '?pagetemplate=modal' }); 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