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AI Data Management Market to Reach USD 239.15 Billion by 2034, Fueled by Enterprise Digital Transformation and Machine Learning IntegrationThe global AI Data Management Market is set to experience exponential growth, expanding from USD 26.5 billion in 2024 to a remarkable USD 239.15 billion by 2034, registering a CAGR of 25.2% during the forecast period. According to the AI Data Management Market Industry Analysis, the accelerating demand for data-driven decision-making, cloud adoption, and...0 Comments 0 Shares 262 Views 0 Reviews
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Cloud Based Data Management Services Market 2024 Business ScenarioThe cloud-based data management services market is expected to grow at 33.4% CAGR from 2024 to 2030. It is expected to reach above USD 3804.95 billion by 2030 from USD 21.97 billion in 2023. The Cloud Based Data Management Services market report presents an overview of the market on the basis of key parameters such as market size, revenue, sales analysis and key drivers. The market...0 Comments 0 Shares 3K Views 0 Reviews
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Cloud Based Data Management Services Market Size to Reach US$ 3,63,962.03 million by 2033According to the Market Statsville Group (MSG), the global cloud-based data management services market size is expected to grow from USD 20,831.30 million in 2022 to USD 3,63,962.03 million by 2033, growing at a CAGR of 29.7% from 2023 to 2033. This published market research report will provide valuable insights and guidance to businesses across various...0 Comments 0 Shares 6K Views 0 Reviews
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Cloud Based Data Management Services Market will reach at a CAGR of 29.7% from to 2033According to the Market Statsville Group (MSG), the global cloud-based data management services market size is expected to grow from USD 20,831.30 million in 2022 to USD 3,63,962.03 million by 2033, growing at a CAGR of 29.7% from 2023 to 2033.. Below information is analyzed in depth in the report- Global Cloud Based Data Management ServicesMarket...0 Comments 0 Shares 3K Views 0 Reviews
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Cloud Based Data Management Services Market Worth US$ 3,63,962.03 million by 2033According to the Market Statsville Group (MSG), the global cloud-based data management services market size is expected to grow from USD 20,831.30 million in 2022 to USD 3,63,962.03 million by 2033, growing at a CAGR of 29.7% from 2023 to 2033. The report offers a detailed analysis of the industry's market segmentation and regional trends. It highlights the...0 Comments 0 Shares 6K Views 0 Reviews
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Data Center Infrastructure Management Industry: 10.6% CAGR Anticipated for the Coming YearsData Center Infrastructure Management Industry is expected to grow at a CAGR of 10.6% during the forecast period. Global Data Center Infrastructure Management Industry is expected to reach US$ 4.03 Bn. by 2029. Data Center Infrastructure Management Industry Overview Understanding the market dynamics and trends of the Data Center Infrastructure Management Market requires a clear...0 Comments 0 Shares 5K Views 0 Reviews
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Data Management Platform Market Revenue Growth Predicted by 2022-2030Data Management Platform Market Overview The Data Management platform is basically used to collect data from various sources such as social networks, mobile web, mobile apps, CRM, and other sources. It further delivers it to users such as publishers, marketers, and ad agencies. The usage of the data management platform also enables the users to identify the conversion points and flexibility to...0 Comments 0 Shares 7K Views 0 Reviews
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Database Management Systems: Powering the Data-Driven FutureIntroduction The Database Management System (DBMS) Market, valued at USD 85.48 billion in 2023, is expected to surge to USD 225.17 billion by 2032, growing at a strong CAGR of 11.41%. With the explosion of data from IoT devices, digital platforms, and enterprise applications, businesses need scalable and secure solutions to handle both structured and unstructured datasets. Cloud migration,...0 Comments 0 Shares 89 Views 0 Reviews
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Fuse the Power of AI and Data Management to Unlock Business ValueToday, enterprises find themselves on the cusp of a transformative era, poised to unlock unprecedented business value by harnessing the full potential of AI. According to McKinsey, 44% of companies implementing AI report reduced operational costs, with many also experiencing revenue growth. However, successful AI adoption and modernization involve more than just deploying the latest...0 Comments 0 Shares 4K Views 0 Reviews
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2024’s AI Data Visualization Toolkit: Prepare Your Dashboards for 2025As we close out 2024, the pace of data visualization innovation will continue to accelerate. For B2B businesses, the ability to transform complex data into actionable insights is now a necessity rather than a luxury. Central to this evolution is Artificial Intelligence, which is reshaping dashboards and data visualizations to enable organizations to make faster, more impactful decisions....0 Comments 0 Shares 8K Views 0 Reviews
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A Perspective on Leveraging Large Language Models in SalesLarge Language Models (LLMs) are transforming the business landscape, particularly in sales. These advanced AI tools harness data to deliver valuable insights, revolutionizing how sales teams interact with customers, generate leads, and develop innovative sales strategies. This article explores how LLMs enhance efficiency, personalization, and strategic depth in sales operations. "LLMs are...0 Comments 0 Shares 5K Views 0 Reviews
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AI Bias Isn’t Solved Yet—What’s Next?Despite advances in fairness-aware algorithms and better datasets, AI bias remains a stubborn challenge. From recruitment tools that favor certain demographics to facial recognition systems that underperform on darker skin tones, the issue isn’t just technical—it’s social, cultural, and systemic. 🚨 Eliminating bias completely may be impossible, but reducing its impact is...0 Comments 0 Shares 979 Views 0 Reviews
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AIOPS Trends with Explainable AI, Auto-Remediation, and Autonomous OperationsAI and AIOps have been transforming the future of the workplace and IT operations, which accelerates digital transformations. The AIOps stands out as it uses machine learning (ML) and big data tracking, such as root cause analysis, event correlations, and outlier detection. According to the survey, large organizations have been solely relying on AIOps to track their performance. Thus, it is an...0 Comments 0 Shares 9K Views 0 Reviews
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Airway Management Devices Market Overview (Status, Trends and Insights) 2024-2030The Airway Management Devices Market Research focuses on the key trends prevailing in the global business sector. The existing Industry scenario has been studied and future projections with respect to the sector have also been investigated. Market study report comprises evaluation of numerous influential factors including industry overview in terms of recent developments in both...0 Comments 0 Shares 3K Views 0 Reviews
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AITech Interview with Joel Rennich, VP of Product Strategy at JumpCloudAI introduces both promises and risks for identity management and overall security. How do you see organizations effectively navigating this balance in the age of AI, particularly in the context of small to medium-sized enterprises? First off, integrating AI has to involve more than just buzzwords – and I’d say that we still need to wait until AI accuracy is better before SMEs...0 Comments 0 Shares 8K Views 0 Reviews
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AITech Interview with Manav Mital, Founder, and CEO at CyralCan you tell us about your background and how it led you to found Cyral? Cyral is the intersection of my passions and proficiencies. I have been on a long entrepreneurial journey. I started out as an early hire at Aster Data, which was one of the first companies to talk about Big Data, where I ran most of the engineering team. Then I founded Instart, which was in the CDN space where we focused...0 Comments 0 Shares 11K Views 0 Reviews
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AITech Interview with Ulf Zetterberg, Co-CEO at Sinequa.Kindly brief us about yourself and your role as the Co-CEO at Sinequa. I’m a serial entrepreneur, business developer and investor inspired by technology that improves the way we work. I’m passionate about human-augmented technologies like AI and machine learning that elevate human productivity and intelligence, rather than replace humans. In 2010, I co-founded Seal Software, a...0 Comments 0 Shares 10K Views 0 Reviews
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