[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"article-imerit-study-reveals-data-quality-as-the-primary-challenge-for-successful-artificial-intelligence":3,"$fjnKX72BiLw-CiZZ5MQCs0a0C_bANyAZUVd6PqPzBgJg":30,"$f-j9YGNBwRSSL7SH4JzUpRZrBt_Eb-enBkRymgC2HvJg":167,"$fzgh9HMZBeog6YYmi6_wf9F1_8E0448vNEX9r4SOC_2g":208,"$fx0Dz-WUAXgaGJDFKp5JoFihuourpw4oC0uNO6EDK9Y8":214,"$flyRSpjhyVE29pqjd-DzWtoRwNGPXrTq6WJDGSvhczcc":246},{"data":4},{"id":5,"title":6,"slug":7,"excerpt":8,"content":9,"imageUrl":10,"socialImageUrl":11,"publishedAt":12,"author":13,"category":14,"likes":15,"summary":16,"captionLinkedin":17,"captionTwitter":18,"captionInstagram":19,"seo":20,"prevPost":22,"nextPost":26},451,"iMerit Study Reveals Data Quality as the Primary Challenge for Successful Artificial Intelligence","imerit-study-reveals-data-quality-as-the-primary-challenge-for-successful-artificial-intelligence","Discover why data quality and human expertise are the true drivers of successful commercial AI projects in iMerit's 2023 report.","\u003Cp>\u003Cimg style=\"float: left;\" src=\"https:\u002F\u002Fmedia.magicwandmedia.in\u002Fposts\u002FJune2023\u002Fshutterstock_1161944287.jpg\" alt=\"\" width=\"476\" height=\"278\">iMerit, a leading artificial intelligence (AI) data solutions company, released its 2023 State of ML Ops report, which includes a study outlining the impact of data on wide-scale commercial-ready AI projects. The study surveyed AI, ML, and data practitioners across industries, and found an increasing need for better data quality and human expertise and oversight in delivering successful AI. This is especially true as powerful new generative AI tools and continuous improvements to automation are rolled out at an increasingly rapid pace.\u003C\u002Fp>\r\n\u003Cp>The world of AI has changed dramatically over the past year. It has evolved out of the lab, entering the phase where deploying large-scale commercialized projects is a reality. The study shows true experts in the loop are needed not only at the data phase, but at every phase along the ML Ops lifecycle. The world’s most experienced AI practitioners understand that companies turning to human experts-in-the-loop achieve greater efficiencies, better automation, and superior operational excellence. This leads to better commercial outcomes for AI in the future.\u003C\u002Fp>\r\n\u003Cp>The report highlights survey findings in four key areas:\u003C\u002Fp>\r\n\u003Cp style=\"margin-left: .5in;\">●\u003Cstrong>Data Quality is the Most Important Factor for Successful Commercial AI Projects\u003C\u002Fstrong> - Three in five AI\u002FML practitioners consider higher quality data to be more important than higher volumes of data for achieving successful AI. Additionally, practitioners found that accurate and precise data labeling is crucial to realizing ROI. \u003C\u002Fp>\r\n\u003Cp style=\"margin-left: .5in;\">●\u003Cstrong>Human Expertise is Central to the AI Equation\u003C\u002Fstrong> - 96 percent of survey respondents indicated that human expertise is a key component to their AI efforts. 86 percent of respondents claim that human labeling is essential, and they are using expert-in-the-loop training at scale within existing projects. The use of automated data labeling is growing in popularity, and there is still need for human oversight, as the report finds that on average 42 percent of automated data labeling requires human intervention or correction. \u003C\u002Fp>\r\n\u003Cp style=\"margin-left: .5in;\">●\u003Cstrong>Data Annotation Requirements are Increasing in Complexity, which Increases the Need for Human Expertise and Intervention\u003C\u002Fstrong> - According to the study, a large majority of respondents (86 percent) indicated subjectivity and inconsistency are the primary challenges for data annotation in any ML model. Another 82 percent reported that scaling wouldn’t be possible without investing in both automated annotation technology and human data labeling expertise. 65 percent of respondents also stated that a dedicated workforce with domain expertise was required for successful AI-ready data. \u003C\u002Fp>\r\n\u003Cp style=\"margin-left: .5in;\">●\u003Cstrong>The Key to Commercial AI is Solving Edge Cases with Human Expertise\u003C\u002Fstrong> - Edge cases are consuming a large amount of time. The report finds that 37 percent of AI\u002FML practitioners’ time is spent identifying and solving edge cases. 96 percent of survey respondents stated that human expertise is required to solve edge cases.\u003C\u002Fp>\r\n\u003Cp>Stating that quality data is the lifeblood of AI and that it will never have sufficient data quality without human expertise and input at every stage, Radha Basu, Founder and CEO, iMerit, commented, “With the acceleration of AI through large language models and other generative AI tools, the need for quality data is growing. Data must be more reliable and scalable for AI projects to be successful. Large language models and generative AI will become the foundation on which many thin applications will be built. Human expertise and oversight is a critical part of this foundation.”\u003C\u002Fp>\r\n\r\n\u003Cp>For more information: \u003Cstrong>www.imerit.net\u003C\u002Fstrong>\u003C\u002Fp>","https:\u002F\u002Fmedia.magicwandmedia.in\u002Fposts\u002FJune2023\u002Fo3elUyNIrBeLR8YWBODk.jpg","https:\u002F\u002Fmedia.magicwandmedia.in\u002Fsocial\u002Fhorizontal\u002Fposts\u002FJune2023\u002Fo3elUyNIrBeLR8YWBODk.jpg","2023-06-02T02:04:43+05:30","MWM Desk","News",0,"Three in five practitioners prioritize high-quality data over larger data volumes for successful commercial AI project outcomes.\nHuman expertise remains essential, with 96 percent of survey respondents confirming it is a critical component of their AI efforts.\nPractitioners spend 37 percent of their time solving complex edge cases, a task requiring human intervention nearly 100 percent of the time.","Is your organization struggling to move AI projects from the lab to commercial reality? A new report from iMerit suggests that the secret isn't just more data—it's better data quality and human oversight. As generative AI accelerates, the need for 'expert-in-the-loop' workflows has never been higher. With 96% of practitioners citing human expertise as a vital component for solving complex edge cases and maintaining operational excellence, it is clear that automation alone isn't enough. From improving labeling precision to managing the subjectivity of complex datasets, human intervention is the foundation of scalable, ROI-driven AI. Read the full 2023 State of ML Ops report to see how industry leaders are bridging the gap between automation and real-world performance. #AI #DataQuality #MLOps","More data doesn't always mean better AI. A new report from iMerit shows that human expertise and data quality are the ultimate keys to commercializing successful ML projects. Stop chasing volume and start prioritizing precision. #AI #DataQuality","Is your AI strategy stuck in the lab? 🤖 iMerit’s 2023 State of ML Ops report reveals the real secret behind commercial AI success: it’s not just about the code—it’s about the humans! 🧠✨\n\nDid you know that nearly 40% of an AI practitioner's time is spent solving edge cases that require human intervention? As generative AI evolves, the role of human-in-the-loop training is becoming more critical than ever for accuracy and ROI. Whether it’s data labeling or fixing automated errors, experts are the foundation of future-ready AI. 📈\n\nCheck the link in our bio for the full report insights! 🔗\n\n#ArtificialIntelligence #DataScience #MLOps #TechTrends #FutureOfWork #iMerit #Innovation",{"title":6,"description":8,"keywords":21},"artificial intelligence, data quality, machine learning, ml ops, data annotation, human in the loop, generative ai, data labeling, commercial ai, ai strategy",{"title":23,"slug":24,"imageUrl":25},"igus Presents Hygienic Design Linear Guide for Clean & Safe Applications","igus-presents-hygienic-design-linear-guide-for-clean-safe-applications","https:\u002F\u002Fmedia.magicwandmedia.in\u002Fposts\u002FJune2023\u002FcS6V9qHxxn3klBngePJQ.jpg",{"title":27,"slug":28,"imageUrl":29},"Manali Petrochemicals Sees Revenue of INR 334 Crore","manali-petrochemicals-sees-revenue-of-inr-334-crore","https:\u002F\u002Fmedia.magicwandmedia.in\u002Fposts\u002FJune2023\u002FsTXtx1zh6usEHGRHL8av.jpg",{"data":31,"links":104,"meta":109},[32,38,44,50,56,62,68,74,80,86,92,98],{"title":33,"slug":34,"excerpt":35,"imageUrl":36,"publishedAt":37,"author":13,"category":14},"Epsilon Carbon Commissions New Specialty Carbon Facility in Karnataka","epsilon-carbon-commissions-new-specialty-carbon-facility-in-karnataka","Epsilon Carbon doubles its specialty carbon capacity to 600,000 TPA with a new Industry 4.0 facility in Karnataka, boosting global supply.","https:\u002F\u002Fmedia.magicwandmedia.in\u002Fposts\u002FAugust2026\u002Fnews\u002Fepsilon-carbon-commissions-new-specialty-carbon-facility-in-karnataka-3v5tep.JPG","2026-08-14T01:52:18+05:30",{"title":39,"slug":40,"excerpt":41,"imageUrl":42,"publishedAt":43,"author":13,"category":14},"Essar Marks 15 Years of Stanlow Ownership and 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accelerates India's industrial decarbonization with focus on green products and sustainable value chains.","https:\u002F\u002Fmedia.magicwandmedia.in\u002Fposts\u002FJuly2026\u002Fnews\u002Fcii-greenpro-summit-2026-drives-indias-industrial-decarbonization-agenda-dlMTv5.png","2026-07-31T03:24:02+05:30",{"title":81,"slug":82,"excerpt":83,"imageUrl":84,"publishedAt":85,"author":13,"category":14},"BASF Launches Melyra and Inveris Gold Crop Protection Solutions in India","basf-launches-melyra-and-inveris-gold-crop-protection-solutions-in-india","BASF expands its Indian agricultural portfolio with the launch of Melyra and Inveris Gold, delivering advanced crop protection and enhanced productivity.","https:\u002F\u002Fmedia.magicwandmedia.in\u002Fposts\u002FJuly2026\u002Fnews\u002Fbasf-launches-melyra-and-inveris-gold-crop-protection-solutions-in-india-gdMNFU.jpg","2026-07-31T02:38:13+05:30",{"title":87,"slug":88,"excerpt":89,"imageUrl":90,"publishedAt":91,"author":13,"category":14},"L&T Technology Services Launches Ainfonix™ 4.0 to Accelerate AI Adoption","lt-technology-services-launches-ainfonix-40-to-accelerate-ai-adoption","L&T Technology Services unveils Ainfonix™ 4.0 at EI Live, a cutting-edge platform designed to accelerate industrial AI adoption and data utility.","https:\u002F\u002Fmedia.magicwandmedia.in\u002Fposts\u002FJuly2026\u002Fnews\u002Flt-technology-services-launches-ainfonix-40-to-accelerate-ai-adoption-n5XI9j.webp","2026-07-31T02:17:58+05:30",{"title":93,"slug":94,"excerpt":95,"imageUrl":96,"publishedAt":97,"author":13,"category":14},"Tembo Global Industries Opens New Vasai Facility, Boosts Capacity to 1,00,000 MTPA","tembo-global-industries-opens-new-vasai-facility-boosts-capacity-to-100000-mtpa","Tembo Global Industries scales up! Discover how their new 100,000 MTPA Vasai facility drives engineering innovation and infrastructure growth.","https:\u002F\u002Fmedia.magicwandmedia.in\u002Fposts\u002FJuly2026\u002Fnews\u002Ftembo-global-industries-opens-new-vasai-facility-boosts-capacity-to-100000-mtpa-0tSB5k.png","2026-07-31T02:07:26+05:30",{"title":99,"slug":100,"excerpt":101,"imageUrl":102,"publishedAt":103,"author":13,"category":14},"N.A.N. MagneTech to Invest INR 1,250 Cr in NdFeB Magnet Plant","nan-magnetech-to-invest-inr-1250-cr-in-ndfeb-magnet-plant","N.A.N. 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