{"count":10575,"next":"http://onegeo.com/api/organization/section/home/publications?format=json&limit=20&offset=9980&ordering=-name","previous":"http://onegeo.com/api/organization/section/home/publications?format=json&limit=20&offset=9940&ordering=-name","results":[{"id":"2bf0d2d4-b8a2-40ef-aafc-454fc5a4e846","slug":"ai-uncovers-86000-hidden-earthquakes-beneath-yellowstones-surface-by-university-of-western-ontario-for-sciencedaily-post","created_at":"2025-08-06T11:38:11.927855Z","views":30,"name":"AI uncovers 86,000 hidden earthquakes beneath Yellowstone’s surface | by University of Western Ontario for ScienceDaily","about":"Machine learning revealed over 86,000 earthquakes beneath Yellowstone, uncovering chaotic swarms along young faults. This breakthrough improves understanding of volcanic activity and hazard prediction.","text":"Using AI technologies, researchers have identified over 86,000 earthquakes beneath Yellowstone’s caldera—about ten times more than previously recorded. This breakthrough study, led by Professor Bing Li and collaborators, reveals that more than half of these quakes occur in swarms along rough, immature fault structures, unlike the smoother faults seen elsewhere. The team used fractal analysis to characterize the fault roughness and linked earthquake swarms to interactions between slowly moving underground water and sudden fluid bursts. This enhanced earthquake catalog improves understanding of Yellowstone’s complex volcanic system and offers new opportunities to study seismic patterns and better predict volcanic hazards.","link_original":"https://www.sciencedaily.com/releases/2025/07/250720034027.htm","status":2,"country":[{"id":240,"name":"United States of America","icon":""}],"sections":[{"id":94,"name":"Natural catastrophes"}],"root_section":{"id":107,"name":"Life-friendly Earth"},"is_photo":true,"is_video":false,"is_large_font":false,"show_in_news_list":false,"url_to_show_in_news_list":"","location_filters":{"countries":[{"id":240,"name":"United States of America"}],"regions":[{"id":4,"name":"North America"}]},"filters":[{"id":8,"name":"Enlightenment","badge_name":"Enlightenment","show_badge":false,"children":[{"id":27,"name":"Publications","badge_name":"Publication","show_badge":false,"children":[]}],"all_children":false,"all_children_ids":"9,10,27,11,12"},{"id":13,"name":"Media content","badge_name":"Media content","show_badge":false,"children":[{"id":14,"name":"Photo","badge_name":"Photo","show_badge":false,"children":[]}],"all_children":false,"all_children_ids":"14,15,16"}]},{"id":"af5abbcb-3856-4006-9dd8-40c76022ccf9","slug":"ai-transforms-global-mining-power-generation-and-chemicals-industries-i-by-morning-studio-editors-for-south-china-morning-post-post","created_at":"2025-12-04T06:05:12.214281Z","views":19,"name":"AI transforms global mining, power generation and chemicals industries I by Morning Studio editors for South China Morning Post","about":"AI is transforming the natural resources sector by enhancing efficiency, safety, and sustainability through autonomous systems and data analysis.","text":"The rapid and enthusiastic adoption of artificial intelligence is already having a seismic effect on industries worldwide, enabling new efficiencies and changing how organizations plan and operate. This impact is particularly evident in the natural resources sector: mining, oil and gas, chemicals, and building materials - where the latest advances are reshaping core production systems and reinventing risk, safety, strategy, and exploration management. AI promises cost savings, enhanced safety, and a reduced carbon footprint. For example, autonomous haulage systems use machine learning and technology to optimize routes and prevent accidents. AI also helps analyze geological data, improving drilling and exploration efficiency. The adoption of AI in oil, gas, and steel industries is advancing processes, such as geophysical interpretation and blast furnace operations, driving growth and transformation in the sector.","link_original":"https://www.scmp.com/native/tech/topics/technological-game-changers/article/3333917/ai-transforms-global-mining-power-generation-and-chemicals-industries","status":2,"country":[],"sections":[{"id":234,"name":"Central role of AI"}],"root_section":{"id":51,"name":"Industrial Revolution"},"is_photo":true,"is_video":false,"is_large_font":false,"show_in_news_list":true,"url_to_show_in_news_list":"https://onegeo.com/bucket/media/section_publication_photo/6183270e-b3e6-4ad3-8886-84d3dbb94074","location_filters":{"countries":[],"regions":[{"id":12,"name":"Global"}]},"filters":[{"id":13,"name":"Media content","badge_name":"Media content","show_badge":false,"children":[{"id":14,"name":"Photo","badge_name":"Photo","show_badge":false,"children":[]}],"all_children":false,"all_children_ids":"14,15,16"}]},{"id":"e5030e54-570f-4ec8-b1c8-93a607b477be","slug":"ai-toys-are-all-the-rage-in-chinaand-now-theyre-appearing-on-shelves-in-the-us-too-by-caiwei-chenarchive-page-for-mit-technology-review-post","created_at":"2025-11-12T05:34:06.519007Z","views":15,"name":"AI toys are all the rage in China—and now they’re appearing on shelves in the US too | by Caiwei Chenarchive page for MIT Technology Review","about":"AI-powered toys that let stuffed animals talk are booming in China and expanding globally, offering interactive, screen-free play, but their novelty often fades quickly due to glitches and limited engagement.","text":"A new wave of AI-powered toys is letting children interact with stuffed animals that can talk back, with China leading the boom: the market is expected to surpass $14 billion by 2030, supported by over 1,500 AI toy companies. Products like BubblePal and FoloToy let kids hear characters speak or even train toys to mimic their parents’ voices, and some are already expanding internationally.\n\nThis trend builds on China’s long history of child-focused electronics, but US companies like Mattel and ventures like Grok are entering the market as well. While parents appreciate screen-free interaction and safety features, reviews show AI toys can be glitchy, slow, or unengaging, and many children quickly lose interest, limiting their practical appeal despite the novelty.","link_original":"https://www.technologyreview.com/2025/10/07/1125191/ai-toys-in-china/","status":2,"country":[{"id":49,"name":"China","icon":""}],"sections":[{"id":56,"name":"Eco-friendly consumer goods"}],"root_section":{"id":51,"name":"Industrial Revolution"},"is_photo":false,"is_video":false,"is_large_font":false,"show_in_news_list":false,"url_to_show_in_news_list":"","location_filters":{"countries":[{"id":49,"name":"China"}],"regions":[{"id":5,"name":"Asia"}]},"filters":[]},{"id":"54c46bd0-a5c1-4b47-9d11-0ec22a43ce49","slug":"ai-risks-sparking-a-new-era-of-divergence-as-development-gaps-between-countries-widen-undp-report-finds-i-united-nations-development-programme-post","created_at":"2026-02-12T12:25:11.404532Z","views":7,"name":"AI risks sparking a new era of divergence as development gaps between countries widen, UNDP report finds І United Nations Development Programme","about":"The report warns that AI could widen global inequalities unless strong policies help countries equally benefit and manage its risks.","text":"Asia and the Pacific, home to over 55% of the world’s population, is central to the AI transition, hosting more than half of global AI users, rising patent activity, and over 3,100 new AI companies across six economies. AI could boost regional GDP by 2 percentage points and productivity by up to 5%, with ASEAN alone gaining nearly $1 trillion over the next decade. Millions of jobs, especially for women and youth, face automation risks. Digital readiness varies, with countries like Singapore, South Korea, and China advancing, while others lag in access, skills, and governance. Successful AI examples in governance - Bangkok’s Traffy Fondue, Singapore’s Moments of Life, Beijing’s digital twins - show potential, but few countries have robust AI regulations. Investing in skills, technology, and governance is crucial to shared progress or countries risk falling behind.","link_original":"https://www.undp.org/asia-pacific/press-releases/ai-risks-sparking-new-era-divergence-development-gaps-between-countries-widen-undp-report-finds","status":2,"country":[],"sections":[{"id":299,"name":"Emerging AI threats"}],"root_section":{"id":207,"name":"New Global Community"},"is_photo":true,"is_video":false,"is_large_font":false,"show_in_news_list":true,"url_to_show_in_news_list":"https://onegeo.com/bucket/media/section_publication_photo/a4e29898-d9f2-4614-af96-345a0b0fa13c","location_filters":{"countries":[],"regions":[{"id":12,"name":"Global"}]},"filters":[{"id":8,"name":"Enlightenment","badge_name":"Enlightenment","show_badge":false,"children":[{"id":27,"name":"Publications","badge_name":"Publication","show_badge":false,"children":[]}],"all_children":false,"all_children_ids":"9,10,27,11,12"},{"id":13,"name":"Media content","badge_name":"Media content","show_badge":false,"children":[{"id":14,"name":"Photo","badge_name":"Photo","show_badge":false,"children":[]}],"all_children":false,"all_children_ids":"14,15,16"}]},{"id":"c0401091-d764-4880-9b35-60edaadd5430","slug":"ai-in-the-government-the-new-technology-through-the-lens-of-ideology-post","created_at":"2026-04-02T15:03:19.617020Z","views":6,"name":"AI in the Government: the New Technology through the Lens of Ideology","about":"Gur, T., Hameiri, B., & Maaravi, Y. (2024). Political ideology shapes support for the use of AI in policy-making. Frontiers in Artificial Intelligence, 7, 1447171.","text":"The study examines how political ideology (right versus left) affects people's support for the use of AI in government decision-making and public policy. The study was conducted in the political context taking place in Israel in early 2023, after the announcement of a controversial political reform that sparked widespread protests across the country.\n\nThe study revealed that what predicts the level of support for the use of AI is not similar for the two groups, with Center-Leftists having stronger support being particularly influenced by the feeling that AI is effective and useful, a feeling of “warmth” towards AI, and the belief that they have the ability to influence Political. For Rightists, support was more related to “social will” and norms that they find socially acceptable, as well as to the level of irreligiosity (secularism) and their affinity for technology. \n\nThe findings are important for future planning of public AI policy.","link_original":"https://www.runi.ac.il/en/whats-up-lobby/news/artificial-intelligence-in-government-the-new-technology-through-the-lens-of-ideology","status":2,"country":[{"id":112,"name":"Israel","icon":""}],"sections":[{"id":267,"name":"Transformation of state governance"}],"root_section":{"id":207,"name":"New Global Community"},"is_photo":false,"is_video":false,"is_large_font":false,"show_in_news_list":false,"url_to_show_in_news_list":"","location_filters":{"countries":[{"id":112,"name":"Israel"}],"regions":[{"id":5,"name":"Asia"}]},"filters":[]},{"id":"5f63d9ee-da72-4872-b55a-2c901227f42d","slug":"ai-in-the-geosciences-conference-2026-04-05-june-london-england-post","created_at":"2026-03-12T18:59:57Z","views":72,"name":"AI in the Geosciences conference 2026 (04 - 05 June, London, UK & Online)","about":"The inaugural AI in the Geosciences conference is a new hybrid event aimed at researchers, industry professionals, students, policy makers, and all those with an interest in responsible innovation.","text":"The meeting will explore how artificial intelligence, machine learning, and big data are transforming the geoscience. \r\n\r\nThe programme is designed to encourage contributions from a wide range of stakeholders, combining traditional scientific presentations with community updates, hosted panel discussions and workshops The meeting will showcase cutting-edge AI-based tools, illustrating how the community can derive benefit from their application to real geoscience problems. The event will also provide a network for professional development and opportunities for collaboration across disciplines.\r\n\r\nKey themes:\r\n- Developments and opportunities within AI and machine learning\r\n- Data integration, interpretation and automation using AI tools\r\n- Open data and collaborative development of AI tools\r\n- Considering ethics, bias and transparency in implementing AI and machine learning\r\n- Policy considerations for future AI development\r\n- Importance / use of AI in geoscience education","link_original":"https://www.geolsoc.org.uk/events/ai-in-the-geosciences/","status":2,"country":[{"id":239,"name":"United Kingdom of Great Britain and Northern Ireland","icon":""}],"sections":[{"id":226,"name":"Data acquisition and processing"}],"root_section":{"id":107,"name":"Life-friendly Earth"},"is_photo":true,"is_video":false,"is_large_font":false,"show_in_news_list":false,"url_to_show_in_news_list":"","location_filters":{"countries":[{"id":239,"name":"United Kingdom of Great Britain and Northern Ireland"}],"regions":[{"id":3,"name":"Europe"}]},"filters":[{"id":22,"name":"Events","badge_name":"Event","show_badge":false,"children":[],"all_children":true,"all_children_ids":""}]},{"id":"7b455fbc-ceb8-4533-ad37-0d13c4e9d100","slug":"ai-in-disaster-risk-reduction-predictive-models-for-natural-and-man-made-hazards-by-mahesh-m-and-prabhu-prasad-for-international-journal-of-scientific-research-researchgate-post","created_at":"2025-08-20T08:23:16Z","views":35,"name":"AI in Disaster Risk Reduction: Predictive Models for Natural and Man-Made Hazards | by Mahesh M and Prabhu Prasad for International Journal of Scientific Research, ResearchGate","about":"AI is transforming disaster risk reduction by enhancing prediction, early warning, and response for natural and man-made hazards, while raising challenges of ethics, data use, and implementation.","text":"Artificial Intelligence (AI) is transforming disaster risk reduction by improving prediction, preparedness, and response to both natural and man-made hazards. Using machine learning, neural networks, and real-time data analysis, AI enhances early warning systems, hazard forecasting, and resource allocation. Successful applications include flood prediction, earthquake risk assessment, wildfire management, and coordination of emergency response efforts. Future integration with technologies like drones and robotics promises more autonomous and efficient disaster management. Challenges remain in data availability, infrastructure, and ethical use, but AI offers immense potential to reduce human and economic losses and build more resilient communities.","link_original":"https://www.researchgate.net/publication/392914655_AI_in_Disaster_Risk_Reduction_Predictive_Models_for_Natural_and_Man-Made_Hazards","status":2,"country":[],"sections":[{"id":94,"name":"Natural catastrophes"}],"root_section":{"id":107,"name":"Life-friendly Earth"},"is_photo":false,"is_video":false,"is_large_font":false,"show_in_news_list":false,"url_to_show_in_news_list":"","location_filters":{"countries":[],"regions":[{"id":12,"name":"Global"}]},"filters":[]},{"id":"943ae7fe-8f8b-4b7f-9ab6-8480dc6ba9f7","slug":"ai-helps-marine-scientists-track-floating-debris-from-space-by-gregory-wicky-for-epfl-post","created_at":"2026-04-03T04:01:18.705792Z","views":7,"name":"AI helps marine scientists track floating debris from space | by Gregory Wicky for EPFL","about":"Researchers are combining AI satellite-image recognition with drift prediction models to improve the collection of plastic debris in the ocean. The technology has passed the proof-of-concept stage and is ready for field testinf.","text":"The ADOPT project is developing AI-based systems to improve the detection and tracking of floating ocean debris, addressing a major challenge in clean-up efforts. Led by EPFL and partners, the project combines satellite data from Sentinel-2 and higher-resolution PlanetScope images to identify large garbage patches such as plastic windrows. A second system uses machine learning with ocean current and wind models to predict debris movement within 24 hours, helping teams plan clean-up operations. Due to limited direct data, GPS drifters are used as proxies for training. While the system performs well overall, it struggles in cloudy conditions because optical sensors cannot penetrate clouds. Although radar integration is a possible future solution, it is not currently pursued. As the project concludes, it leaves a strong proof of concept, with ongoing research and development expected to continue through partner organizations.","link_original":"https://actu.epfl.ch/news/ai-helps-marine-scientists-track-floating-debris-f/","status":2,"country":[],"sections":[{"id":36,"name":"Contamination of near-Earth space"}],"root_section":{"id":107,"name":"Life-friendly Earth"},"is_photo":false,"is_video":false,"is_large_font":false,"show_in_news_list":false,"url_to_show_in_news_list":"","location_filters":{"countries":[],"regions":[{"id":12,"name":"Global"}]},"filters":[]},{"id":"b6c2f18c-1375-41cd-8332-78ebe5326d16","slug":"ai-for-environmental-monitoring-benefits-uses-innovation-sand-technologies-post","created_at":"2026-01-19T09:39:17.797740Z","views":13,"name":"AI for Environmental Monitoring: Benefits, Uses & Innovation | Sand Technologies","about":"As we face increasing environmental challenges, AI-powered environmental monitoring offers a scalable, proactive path toward a more sustainable future.","text":"AI analyzes large volumes of data from sources like satellite images, sensors and drones. With this data, experts can move from reactive observation to proactive intervention and make faster, more informed decisions to protect people and the planet. \n\nEnvironmental AI offers many benefits that help track changes and improve monitoring efforts more efficiently than traditional methods. The following advancements enable experts to act sooner, better resource management and more sustainable solutions:\n- Real-time data collection and analysis.\n- Accurate forecasting and risk mitigation.\n- Increased efficiency in monitoring systems.\n- Scalable solutions to environmental challenges.\n\nUnderstanding our environment without being physically present in every location is no longer out of reach. Environmental AI brings together powerful technologies that collect, analyze, and interpret data from afar.","link_original":"https://www.sandtech.com/insight/ai-for-environmental-monitoring/","status":2,"country":[],"sections":[{"id":291,"name":"Monitoring and control"}],"root_section":{"id":107,"name":"Life-friendly Earth"},"is_photo":false,"is_video":false,"is_large_font":false,"show_in_news_list":false,"url_to_show_in_news_list":"","location_filters":{"countries":[],"regions":[{"id":12,"name":"Global"}]},"filters":[]},{"id":"187b7e0a-8fbe-425b-8af3-6eaf165d1f90","slug":"ai-for-earth-and-climate-from-understanding-processes-to-effective-action-a-video-by-ai-for-good-post","created_at":"2025-07-11T11:04:12.279642Z","views":15,"name":"AI for Earth and Climate: From understanding processes to effective action | a video by AI for Good","about":"This talk shows how AI transforms Earth and climate sciences by mapping crops, oceans, and air quality, predicting extreme weather, and driving evidence-based policy for global climate resilience.","text":"The video explores how Artificial Intelligence is transforming Earth and climate sciences, empowering us to understand, monitor, and anticipate complex environmental and social phenomena at scale. It highlights AI’s role in mapping crop health, analyzing ocean biogeochemistry, estimating air quality, and predicting extreme weather events. Advances in explainable and causal machine learning help interpret these models, turning data into actionable insights. As climate risks grow, AI supports urban sustainability, tracks human displacement drivers, and measures humanitarian impacts. Combining satellite data, socioeconomic indicators, and causal discovery, the video shows how AI strengthens evidence-based policymaking and our ability to tackle global challenges. It argues that integrating AI with Earth observation and domain expertise is key to resilience and sustainable development.","link_original":"https://www.youtube.com/watch?v=JRPmFpWinpY","status":2,"country":[],"sections":[{"id":105,"name":"Mind’s evolution: IT and AI"}],"root_section":{"id":1,"name":"Enlightened Humanity"},"is_photo":false,"is_video":true,"is_large_font":false,"show_in_news_list":true,"url_to_show_in_news_list":"https://www.youtube.com/watch?v=JRPmFpWinpY","location_filters":{"countries":[],"regions":[{"id":12,"name":"Global"}]},"filters":[{"id":13,"name":"Media content","badge_name":"Media content","show_badge":false,"children":[{"id":15,"name":"Video","badge_name":"Video","show_badge":false,"children":[]}],"all_children":false,"all_children_ids":"14,15,16"}]},{"id":"51453955-f559-4f90-b5d8-cd72c59728d7","slug":"ai-energy-use-new-tools-show-which-model-consumes-the-most-power-and-why-university-of-michigan-post","created_at":"2026-04-02T14:37:38.241372Z","views":4,"name":"AI energy use: New tools show which model consumes the most power, and why | University of Michigan","about":"Software can help developers assess AI model energy use, which is necessary to lower costs and strain on the grid","text":"The researchers measured energy use across several different tasks, including chatting, video and image generation, problem solving and coding. For some tasks, the energy requirements of open-weight models can vary by a factor of 300. With the results, Chowdhury’s team has developed tutorials for developers to learn how to measure and lower the energy costs of their models.\n\nAI users and developers can now measure the amount of electricity various AI models consume to complete tasks with open-source software and an online leaderboard developed at the University of Michigan. Companies can download the software to evaluate private models run on private hardware. And while the software can’t evaluate the energy costs of queries run on proprietary AI models at private data centers, it has allowed U-M engineers to measure the power used by open-weight AI models in which the parameters under the hood are publicly available.","link_original":"https://news.umich.edu/ai-energy-use-new-tools-show-which-model-consumes-the-most-power-and-why/","status":2,"country":[],"sections":[{"id":234,"name":"Central role of AI"}],"root_section":{"id":51,"name":"Industrial Revolution"},"is_photo":false,"is_video":false,"is_large_font":false,"show_in_news_list":false,"url_to_show_in_news_list":"","location_filters":{"countries":[],"regions":[{"id":12,"name":"Global"}]},"filters":[]},{"id":"50c6afab-04be-4617-9ef6-b77a6462eb35","slug":"ai-and-the-future-of-humanity-yuval-noah-harari-at-the-frontiers-forum-14-may-2023-post","created_at":"2023-11-08T13:23:41.638893Z","views":33,"name":"AI and the future of humanity | Yuval Noah Harari at the Frontiers Forum (14 May, 2023)","about":"Yuval Noah Harari explores the influence of AI on culture, its impact on human intimacy, and the necessity of regulation in a Frontiers Forum event in Montreux, Switzerland, on April 29, 2023.","text":"Yuval Noah Harari, a historian and author, discussed the ecological impact of AI and its language manipulation abilities in a speech at the Foreign Correspondents' Club in Japan. Harari emphasized the potential of AI to either exacerbate or alleviate the ecological crisis and the emergence of inorganic life forms. He highlighted that while science fiction scenarios have long entertained the notion of AI as a threat, the recent release of powerful AI tools into the public sphere demands serious consideration, especially concerning AI's ability to manipulate language, which is fundamental to human civilization. Harari urged vigilance in comprehending AI's full implications and closely monitoring its development, given its complex and evolving capabilities.","link_original":"https://www.youtube.com/watch?v=LWiM-LuRe6w","status":2,"country":[],"sections":[{"id":1,"name":"Enlightened Humanity"}],"root_section":{"id":1,"name":"Enlightened Humanity"},"is_photo":false,"is_video":true,"is_large_font":false,"show_in_news_list":false,"url_to_show_in_news_list":"","location_filters":{"countries":[],"regions":[]},"filters":[{"id":13,"name":"Media content","badge_name":"Media content","show_badge":false,"children":[{"id":15,"name":"Video","badge_name":"Video","show_badge":false,"children":[]}],"all_children":false,"all_children_ids":"14,15,16"}]},{"id":"5170d3a0-eaf0-48a6-849d-798195799596","slug":"ai-and-deepfakes-supercharge-sophisticated-cyber-attacks-says-cloudflare-by-danny-palmer-for-infosecurity-magazine-post","created_at":"2026-03-26T13:07:08.136600Z","views":11,"name":"AI and Deepfakes Supercharge Sophisticated Cyber-Attacks, Says Cloudflare | by Danny Palmer for Infosecurity Magazine","about":"AI tools and large language models are empowering cybercriminals to launch sophisticated attacks faster and at scale, including phishing, malware, and AI deepfakes, warns Cloudflare’s 2026 Threat Report.","text":"The 2026 Cloudflare Threat Report highlights how AI has become a “force multiplier” for cybercriminals, lowering technical barriers and increasing the impact of attacks. LLMs enable attackers to craft convincing phishing emails, develop malware, map networks in real time, and identify high-value data for supply chain compromises. Malicious actors—including state-sponsored groups, cybercrime gangs, and hacktivists—are leveraging these tools to exploit cloud architectures and corporate identities. \n\nDeepfakes and AI-generated fraudulent IDs are being used to infiltrate organizations directly, turning remote workforces into internal threats. Cloudflare warns that this “industrialization of cyber threats” demands organizations shift from reactive defenses to real-time intelligence, staying ahead of rapidly evolving tactics and vulnerabilities.","link_original":"https://www.infosecurity-magazine.com/news/ai-deepfakes-supercharge/","status":2,"country":[],"sections":[{"id":299,"name":"Emerging AI threats"}],"root_section":{"id":207,"name":"New Global Community"},"is_photo":false,"is_video":false,"is_large_font":false,"show_in_news_list":false,"url_to_show_in_news_list":"","location_filters":{"countries":[],"regions":[{"id":12,"name":"Global"}]},"filters":[]},{"id":"73484c8e-b3d8-4a81-94ad-18aec735d44f","slug":"ai-and-big-data-expo-event-26-27-september-2023-amsterdam-post","created_at":"2023-09-26T09:16:03Z","views":28,"name":"AI and Big Data Expo Event (26-27 September, 2023, Amsterdam)","about":"The event organized by the TechEx Media Ltd brings together industry experts to explore cutting-edge AI and Big Data developments.","text":"The event showcases next-gen technologies and strategies, offering insights into successful AI and Big Data implementation for business growth. 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