{"id":1148633,"date":"2025-04-02T10:34:23","date_gmt":"2025-04-02T10:34:23","guid":{"rendered":"https:\/\/www.capgemini.com\/in-en\/?p=1148633&#038;preview=true&#038;preview_id=1148633"},"modified":"2026-01-22T07:47:42","modified_gmt":"2026-01-22T07:47:42","slug":"seven-predictions-for-2025","status":"publish","type":"post","link":"https:\/\/www.capgemini.com\/in-en\/insights\/expert-perspectives\/seven-predictions-for-2025\/","title":{"rendered":"Seven predictions for 2025"},"content":{"rendered":"\n<header class=\"wp-block-cg-blocks-hero-blogs header-hero-blogs\"><div class=\"container\"><div class=\"hero-blogs\"><div class=\"hero-blogs-content-wrapper\"><div class=\"row\"><div class=\"col-12\"><div class=\"header-title\"><h1>Seven predictions for 2025<br>What\u2019s hot in data, analytics, and AI?<\/h1><\/div><\/div><\/div><\/div><div class=\"hero-blogs-bottom\"><div class=\"header-author\"><div class=\"author-img\"><img decoding=\"async\" src=\"https:\/\/www.capgemini.com\/in-en\/wp-content\/uploads\/sites\/18\/2023\/07\/Ron-Tolido1.jpg?w=200&amp;quality=10\" alt=\"\" loading=\"lazy\"\/><\/div><div class=\"author-name-date\"><h5 class=\"author-name\">Ron Tolido<\/h5><h5 class=\"blog-date\">April 1, 2025<\/h5><\/div><\/div><div class=\"brand-image\"> <\/div><\/div><\/div><\/div><\/header>\n\n\n\n<section class=\"wp-block-cg-blocks-group undefined section section--article-content\"><div class=\"article-main-content\"><div class=\"container\"><div class=\"row\"><div class=\"col-12 col-md-1\"><nav class=\"article-social\"><ul class=\"social-nav\"><li class=\"ip-order-fb\"><a href=\"https:\/\/www.facebook.com\/sharer\/sharer.php?u=https:\/\/www.capgemini.com\/?p=1065402\" target=\"_blank\" rel=\"noopener noreferrer\" title=\"opens in a new window\"><i aria-hidden=\"true\" class=\"icon-fb\"><\/i><span class=\"sr-only\">Facebook<\/span><\/a><\/li><li class=\"ip-order-li\"><a href=\"https:\/\/www.linkedin.com\/shareArticle?url=https:\/\/www.capgemini.com\/?p=1065402\" target=\"_blank\" rel=\"noopener noreferrer\" title=\"opens in a new window\"><i aria-hidden=\"true\" class=\"icon-li\"><\/i><span class=\"sr-only\">Linkedin<\/span><\/a><\/li><\/ul><\/nav><\/div><div class=\"col-12 col-md-11 col-lg-10\"><div class=\"article-text article-quote-text\">\n<h2 class=\"wp-block-heading\" id=\"h-peering-into-the-future-is-a-tricky-business-especially-in-the-ever-changing-realm-of-data-analytics-and-ai-but-if-there-s-one-thing-we-ve-learned-it-s-that-uncertainty-never-stopped-us-from-trying-after-all-we-re-in-a-part-of-the-technology-profession-where-predicting-the-unpredictable-is-often-part-of-the-job-description\"><strong>Peering into the future is a tricky business \u2013 especially in the ever-changing realm of data, analytics, and AI. But if there\u2019s one thing we\u2019ve learned, it\u2019s that uncertainty never stopped us from trying. After all, we\u2019re in a part of the technology profession where predicting the unpredictable is often part of the job description.<\/strong><\/h2>\n\n\n\n<p>We called upon seven of our data-powered innovation movers and shakers to dust off their (frozen) crystal balls and share their visions of what 2025 has in store. Their insights reveal a world where AI balances on the edge of legality, cloud platforms morph into something entirely new, and synthetic data booms with promise \u2013 and no, it\u2019s not artificial hype. From \u201cvertical AI\u201d that digs deep into industry needs to conversational AI that knows what you want before you do, these trends give a glimpse of the fascinating, yet challenging, future of data and AI.<\/p>\n\n\n\n<p>Will their predictions come true? Only time will tell, but one thing\u2019s for sure: 2025 is shaping up to be a year we\u2019ll be talking about for a long time to come. And data and AI are right in the middle of it.<\/p>\n\n\n\n<p>Let\u2019s dive in.<\/p>\n\n\n\n<p class=\"has-medium-font-size\"><strong>AI is not a crime<\/strong><\/p>\n\n\n\n<p>AI is not a crime, though sometimes it feels like one, given its swift advance beyond legal bounds. While identity theft, deepfakes, and media manipulation emerge from Pandora&#8217;s box, many AI ethicists focus on fairness and transparency, skirting around AI&#8217;s darker uses. As AI matures and criminal applications surge, discussions will inevitably shift from theoretical ideals to practical realities, especially when organizations face public lawsuits under new AI regulations. This shift will force experts to tackle how AI can harm society directly. So, while AI is not a crime, it certainly invites a compelling conversation about AI and crime. Let\u2019s face it: When it comes to AI, the real crime would be ignoring the conversation altogether. &#8211; <em><strong>Marijn Markus, AI Lead, Managing Data Scientist, Insights and Data, Capgemini<\/strong><\/em><\/p>\n\n\n\n<p class=\"has-medium-font-size\"><strong>Augment my governance<\/strong><\/p>\n\n\n\n<p>Prepare to be captivated. AI agents are about to revolutionize data management in the upcoming year. They will shoulder burdensome data tasks, enabling companies to reach new pinnacles of productivity and efficiency. With AI seamlessly managing data collection, analysis, and access for us, we can finally focus on something much more crucial: getting value out of data for the business. It&#8217;s high time to achieve that, isn\u2019t it? The future of data management is upon us, and missing the opportunity of augmenting is not an option. Because in this data game, those who augment govern \u2013 and those who don\u2019t get governed. &#8211;<strong> <em>Liz Henderson, Executive Advisor, Insights and Data, Capgemini<\/em><\/strong><\/p>\n\n\n\n<p class=\"has-medium-font-size\"><strong>Cloud encounters of the third kind<\/strong><\/p>\n\n\n\n<p>As we look towards 2025, cloud data platforms apply for a new round of transmitted change. We all recognize the need for high-quality enterprise data as a foundation for relevant, trustworthy AI. Add to that the need to adhere to regulations, data sovereignty, privacy sustainability and cost. It soon becomes apparent that a smart mix of different and diverse cloud approaches for data will play a crucial role in the upcoming year. I expect to see a pendulum swing towards larger investments in cloud data platforms, yet it will be clouds of a different kind. Or, to put it differently, the forecast calls for cloud cover \u2013 but with a whole new kind of silver lining. &#8211; <em><strong>Prithvi Krishnappa, Global Head of Data and AI, Sogeti<\/strong><\/em><\/p>\n\n\n\n<p class=\"has-medium-font-size\"><strong>Let\u2019s talk better<\/strong><\/p>\n\n\n\n<p>Conversational AI will continue to be a hot topic in 2025. Contact center transformation, leveraging \u201cclassic\u201d AI and generative AI, will help save labor costs by billions and improve customer service significantly. These technologies can handle routine inquiries and provide instant responses, freeing human agents to deal with more complex issues. Imagine a world where you no longer have to press 1 for assistance \u2013 AI will anticipate your every need before you even know you have one. While human agents may become less central, customer satisfaction might reach an all-time high as AI enhances efficiency and personalization in ways we never thought possible. It\u2019ll be the talk of the town in 2025. &#8211; <em><strong>Monish Suri, Global Google Partnership Lead, Insights and Data, Capgemini<\/strong><\/em><\/p>\n\n\n\n<p class=\"has-medium-font-size\"><strong>When <\/strong><strong>AI<\/strong><strong> goes vertical<\/strong><strong><\/strong><\/p>\n\n\n\n<p>We will see a major rise in domain-specific vertical AI solutions that are finely tuned through rigorous test-driven prompt engineering. These purpose-built AI models will deliver more reliable and precise insights tailored to the unique needs of their industries. For instance, in healthcare, imagine AI predicting patient outcomes like a crystal ball, analyzing vast datasets of medical histories and treatment plans to conjure better patient care and optimized resources. In financial services, AI will become the ultimate fraud-buster, identifying unusual patterns in real time and safeguarding assets with previously unseen precision and confidence. Vertical AI solutions will not only streamline operations but also spark innovation by providing industry-specific intelligence and efficiency. The only way is vertical! &#8211; <em><strong>Dan O&#8217;Riordan, VP, AI and Data Engineering, Capgemini<\/strong><\/em><\/p>\n\n\n\n<p class=\"has-medium-font-size\"><strong>The semantics of confidence<\/strong><\/p>\n\n\n\n<p>We\u2019ve seen many companies adopting the principles of data mesh and semantics as part of their modern data analytics platform strategy. If nothing else, it\u2019s needed in 2025 and beyond to comply. For example, the EU AI Act requires close tracking of the purpose of AI models and the underlying data used to train it. This can only be done by enhancing data platforms with semantics, connecting original data sources, forged data products in AI models, and all business dashboards and AI-infused applications. It creates high levels of confidence in both data and AI, next to many new, innovative opportunities to leverage data. The endgame? Nothing less than a full digital twin of the enterprise, a hallmark of data mastery. &#8211; <em><strong>Arne Rossmann, Innovation Lead, Insights and Data, Capgemini<\/strong><\/em><\/p>\n\n\n\n<p class=\"has-medium-font-size\"><strong>Synthetic data boom<\/strong><\/p>\n\n\n\n<p>I predict a boom in synthetic data. But first of all, what is synthetic data? It&#8217;s artificially generated but realistic data that mirrors real patterns without using sensitive information. Why is synthetic data crucial? It tackles privacy, security, data scarcity, and control issues. Traditional data sources are hitting their limits. Privacy laws are tightening, and real-world data often lacks the diversity we need. Synthetic data lets companies create datasets that mimic real shopping behavior in retail or complex production processes in manufacturing without exposing sensitive info or being held back by data gaps. I foresee that 2025 will be the year synthetic data moves center stage. Companies ready to leverage it will build powerful, adaptable models faster than ever. The synthetic data boom will be anything but artificial. &#8211; <em><strong>Dinand Tinholt, VP, Insights and Data, North America, Capgemini<\/strong><\/em><\/p>\n\n\n\n<p class=\"has-medium-font-size\"><strong>Interesting read?<\/strong><\/p>\n\n\n\n<p><strong>Capgemini\u2019s Innovation publication,<\/strong>\u00a0<a href=\"https:\/\/www.capgemini.com\/in-en\/insights\/research-library\/data-powered-innovation-review-wave-9\/\" target=\"_blank\" rel=\"noreferrer noopener\"><strong>Data-powered Innovation Review &#8211; Wave 9<\/strong><\/a><strong>\u00a0features 15 captivating innovation articles <\/strong>with contributions from leading experts from Capgemini, with a special mention of our external contributors from<a href=\"https:\/\/www.opengroup.org\/openfootprint-forum\" target=\"_blank\" rel=\"noreferrer noopener\"><strong>The Open Group<\/strong><\/a><strong>, <\/strong><a href=\"https:\/\/aws.amazon.com\/\" target=\"_blank\" rel=\"noreferrer noopener\"><strong>AWS<\/strong><\/a><strong> <\/strong>and<a href=\"https:\/\/www.unesco.org\/en\" target=\"_blank\" rel=\"noreferrer noopener\"><strong>UNESCO<\/strong><\/a>.\u00a0Explore the transformative potential of generative AI, data platforms, and sustainability-driven tech. <a href=\"https:\/\/www.capgemini.com\/in-en\/insights\/research-library\/data-powered-innovation-review\/\" target=\"_blank\" rel=\"noreferrer noopener\"><strong>Find all previous Waves here<\/strong><\/a><strong>.<\/strong><\/p>\n<\/div><\/div><\/div><\/div><\/div><\/section>\n\n\n\n\n\n<p><\/p>\n","protected":false},"excerpt":{"rendered":"","protected":false},"author":315,"featured_media":1148634,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"cg_dt_proposed_to":[],"cg_seo_hreflang_relations":"[]","cg_seo_canonical_relation":"","cg_seo_hreflang_x_default_relation":"","cg_dt_approved_content":true,"cg_dt_mandatory_content":false,"cg_dt_notes":"","cg_dg_source_changed":false,"cg_dt_link_disabled":false,"_yoast_wpseo_primary_brand":"","_jetpack_memberships_contains_paid_content":false,"footnotes":"","featured_focal_points":""},"categories":[1],"tags":[],"brand":[],"service":[245],"industry":[],"partners":[],"blog-topic":[287],"content-group":[],"class_list":["post-1148633","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-uncategorized","service-data-ai","blog-topic-data-and-ai"],"yoast_head":"<!-- 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