{"id":87178,"topic":"ai","source":"PR Newswire","title":"Dresner Advisory Publishes Pentalogy of AI Research Anchored by 2026 AI Development Platforms and ModelOps Studies - PR Newswire","url":"https://www.prnewswire.com/news-releases/dresner-advisory-publishes-pentalogy-of-ai-research-anchored-by-2026-ai-development-platforms-and-modelops-studies-302884222.html","url_hash":"b935c80e2540a22c4667aad8922f534f92437b08","author":"","summary":"Dresner Advisory Publishes Pentalogy of AI Research Anchored by 2026 AI Development Platforms and ModelOps Studies PR Newswire","content":"Research Highlights Trends and Provides Advice for Driving Organizational Success with AI, Specifically Leveraging Agentic AI, Building AI Platforms, and Scaling Enterprise AI\nNASHUA, N.H., Sept. 21, 2026 /PRNewswire/ -- Artificial Intelligence (AI) has captured top-level attention for its potential to boost productivity, drive real business transformation, and create new competitive advantages, with executives looking to leverage AI to address specific business challenges, respond to industry disruption, and keep pace with competitors. To shed light on this market transformation, Dresner Advisory Services has published five reports examining current usage, trends, roadblocks, and solutions for organizations looking to reap the benefits of AI.\n\"AI is driving a tectonic shift in technology, markets, and business models, and we have expanded our coverage to match this pace of change,\" said Howard Dresner, founder and chief research officer at Dresner Advisory. \"These five new reports provide organizations the models and analysis they need to leverage these technologies effectively and manage them appropriately.\"\nAccording to the 2026 Dresner Advisory Services Wisdom of Crowds AI Development Platforms Market Study, AI development platforms are becoming more encompassing, supporting a larger set of users and roles, and increasingly taking an end-to-end approach to composing models, tools, data, and policies into AI systems that can execute workflows.\nOverall, organizations seem optimistic, aiming to drive more business value from more holistic, coordinated development, deployment, and execution of AI, and are reporting concrete return on their AI investment with the average ROI of 18%. However, aggregate ROI is expected to slow as the \"easy\" early wins from generative AI, vibe coding, and simple agent tasks, or what is referred to as task automation, become harder to reap.\nRapidly expanded use of AI, data science (DS), and machine learning (ML) makes ModelOps a critical discipline for enabling organizations to effectively manage models at scale—especially those entering production, according to the 2026 Wisdom of Crowds ModelOps Market Study. Findings indicate that ModelOps will maintain or increase in importance as organizations develop and manage more models, and as awareness of the business value of ModelOps workflows and platforms becomes widespread.\nRapid adoption of agentic AI highlights yet another driver for robust ModelOps practices, extending their reach beyond AI and ML to encompass all analytical models. As adoption rates and production use of models expands, organizations will need robust ModelOps capabilities to ensure they can easily adapt to changing business needs, maintain proper oversight and management, and ultimately deliver business value.\nDresner also published a Research Insight on Scaling Enterprise AI: Balancing Values and Risks; Aligning Platform and Organizational Readiness, and two Special Reports examining The State of the Enterprise AI Market, and AI and Agentic AI in 2026. These reports provide in-depth analysis of critical aspects of an organization's broader AI strategy.\nAs enterprise AI quickly transitions from experimental pilots to production deployments, organizations face the critical challenge of bridging technological capability with operational readiness. Scaling Enterprise AI outlines the strategic framework required to align platform architecture with organizational competencies, ensuring scalable, secure, and measurable AI execution.\nAccording to the AI and Agentic AI report, generative and agentic AI are becoming indistinguishable, apart from simple, single request use cases, and analytical AI is increasingly becoming a payload within agentic applications. This dynamic makes it critical for data leaders to assess their organizational AI maturities as a whole, rather than by a single type of AI.\nWisdom of Crowds® research is based on data collected on usage and deployment trends, products, and vendors. Users in all roles and throughout all industries contributed to provide a complete view of realities, plans, and perceptions of the market. For more information visit www.dresneradvisory.com.\nAbout Dresner Advisory Services \nDresner Advisory Services was formed by Howard Dresner, an independent analyst, author, lecturer, and business adviser. Dresner Advisory Services, LLC focuses on creating and sharing thought leadership for AI, Analytical Data infrastructure, Analytics and Business Intelligence (BI), Performance Management, ERP, and related areas.\nPress contact:\nDanielle Guinebertiere\nDresner Advisory Services\n[email protected]\n978 254 5587\nSOURCE Dresner Advisory Services","image_url":"https://mmx.prnewswire.com/media/MS1991840/Dresner-Advisory-Services-Logo.jpg?id=OA2958447&p=facebook","lang":"en","published_at":"2026-09-21T12:39:00+00:00","fetched_at":"2026-09-21T13:15:05+00:00","status":"read","starred":0,"extract_state":"ok","summary_auto":"Research Highlights Trends and Provides Advice for Driving Organizational Success with AI, Specifically Leveraging Agentic AI, Building AI Platforms, and Scaling Enterprise AI\nNASHUA, N.H., Sept. 21, 2026 /PRNewswire/ -- Artificial Intelligence (AI) has captured top-level attention for its potential to boost productivity, drive real business transformation, and create new competitive advantages, with executives looking to leverage AI to address specific business challenges, respond to industry disruption, and keep pace with competitors.","cluster_id":null,"extract_retries":0,"extract_error":null,"contract_version":"news_item.v1","format_contract_version":"news_item_formats.v1","dedup_url":"https://www.prnewswire.com/news-releases/dresner-advisory-publishes-pentalogy-of-ai-research-anchored-by-2026-ai-development-platforms-and-modelops-studies-302884222.html","quality_profile":{"profile_version":"extraction_quality.v2","bucket":"high","confidence":0.9,"failure_kind":"none","retryable":false,"retry_after_attempts":0,"reason":"High confidence: full text extraction produced 4701 characters.","operator_guidance":{"severity":"ok","recommended_action":"trust_full_text","next_step":"Use the extracted full text as the primary article source.","operator_label":"Ready","can_retry":false,"can_use_summary":false,"diagnostics_required":false},"content_depth":{"contract_version":"content_depth.v1","category":"full_text","label":"Full text","has_full_text":true,"has_summary":true,"content_length":4701,"summary_length":542,"usable_text_length":4701,"source_field":"content"},"legacy_collapsed":false,"signals":{"extract_state":"ok","extract_error":null,"extract_retries":0,"content_length":4701,"summary_length":542}},"news_item":{"id":87178,"canonical_url":"https://www.prnewswire.com/news-releases/dresner-advisory-publishes-pentalogy-of-ai-research-anchored-by-2026-ai-development-platforms-and-modelops-studies-302884222.html","source_url":"https://www.prnewswire.com/news-releases/dresner-advisory-publishes-pentalogy-of-ai-research-anchored-by-2026-ai-development-platforms-and-modelops-studies-302884222.html","title":"Dresner Advisory Publishes Pentalogy of AI Research Anchored by 2026 AI Development Platforms and ModelOps Studies - PR Newswire","source_name":"PR Newswire","author":null,"published_at":"2026-09-21T12:39:00+00:00","locale":"en","topic":"ai","tags":[],"rss_summary":"Dresner Advisory Publishes Pentalogy of AI Research Anchored by 2026 AI Development Platforms and ModelOps Studies PR Newswire","full_text":"Research Highlights Trends and Provides Advice for Driving Organizational Success with AI, Specifically Leveraging Agentic AI, Building AI Platforms, and Scaling Enterprise AI\nNASHUA, N.H., Sept. 21, 2026 /PRNewswire/ -- Artificial Intelligence (AI) has captured top-level attention for its potential to boost productivity, drive real business transformation, and create new competitive advantages, with executives looking to leverage AI to address specific business challenges, respond to industry disruption, and keep pace with competitors. To shed light on this market transformation, Dresner Advisory Services has published five reports examining current usage, trends, roadblocks, and solutions for organizations looking to reap the benefits of AI.\n\"AI is driving a tectonic shift in technology, markets, and business models, and we have expanded our coverage to match this pace of change,\" said Howard Dresner, founder and chief research officer at Dresner Advisory. \"These five new reports provide organizations the models and analysis they need to leverage these technologies effectively and manage them appropriately.\"\nAccording to the 2026 Dresner Advisory Services Wisdom of Crowds AI Development Platforms Market Study, AI development platforms are becoming more encompassing, supporting a larger set of users and roles, and increasingly taking an end-to-end approach to composing models, tools, data, and policies into AI systems that can execute workflows.\nOverall, organizations seem optimistic, aiming to drive more business value from more holistic, coordinated development, deployment, and execution of AI, and are reporting concrete return on their AI investment with the average ROI of 18%. However, aggregate ROI is expected to slow as the \"easy\" early wins from generative AI, vibe coding, and simple agent tasks, or what is referred to as task automation, become harder to reap.\nRapidly expanded use of AI, data science (DS), and machine learning (ML) makes ModelOps a critical discipline for enabling organizations to effectively manage models at scale—especially those entering production, according to the 2026 Wisdom of Crowds ModelOps Market Study. Findings indicate that ModelOps will maintain or increase in importance as organizations develop and manage more models, and as awareness of the business value of ModelOps workflows and platforms becomes widespread.\nRapid adoption of agentic AI highlights yet another driver for robust ModelOps practices, extending their reach beyond AI and ML to encompass all analytical models. As adoption rates and production use of models expands, organizations will need robust ModelOps capabilities to ensure they can easily adapt to changing business needs, maintain proper oversight and management, and ultimately deliver business value.\nDresner also published a Research Insight on Scaling Enterprise AI: Balancing Values and Risks; Aligning Platform and Organizational Readiness, and two Special Reports examining The State of the Enterprise AI Market, and AI and Agentic AI in 2026. These reports provide in-depth analysis of critical aspects of an organization's broader AI strategy.\nAs enterprise AI quickly transitions from experimental pilots to production deployments, organizations face the critical challenge of bridging technological capability with operational readiness. Scaling Enterprise AI outlines the strategic framework required to align platform architecture with organizational competencies, ensuring scalable, secure, and measurable AI execution.\nAccording to the AI and Agentic AI report, generative and agentic AI are becoming indistinguishable, apart from simple, single request use cases, and analytical AI is increasingly becoming a payload within agentic applications. This dynamic makes it critical for data leaders to assess their organizational AI maturities as a whole, rather than by a single type of AI.\nWisdom of Crowds® research is based on data collected on usage and deployment trends, products, and vendors. Users in all roles and throughout all industries contributed to provide a complete view of realities, plans, and perceptions of the market. 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However, aggregate ROI is expected to slow as the \"easy\" early wins from generative AI, vibe coding, and simple agent tasks, or what is referred to as task automation, become harder to reap.\nRapidly expanded use of AI, data science (DS), and machine learning (ML) makes ModelOps a critical discipline for enabling organizations to effectively manage models at scale—especially those entering production, according to the 2026 Wisdom of Crowds ModelOps Market Study. Findings indicate that ModelOps will maintain or increase in importance as organizations develop and manage more models, and as awareness of the business value of ModelOps workflows and platforms becomes widespread.\nRapid adoption of agentic AI highlights yet another driver for robust ModelOps practices, extending their reach beyond AI and ML to encompass all analytical models. 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PR Newswire","url":"https://www.prnewswire.com/news-releases/dresner-advisory-publishes-pentalogy-of-ai-research-anchored-by-2026-ai-development-platforms-and-modelops-studies-302884222.html","summary":"Research Highlights Trends and Provides Advice for Driving Organizational Success with AI, Specifically Leveraging Agentic AI, Building AI Platforms, and Scaling Enterprise AI\nNASHUA, N.H., Sept. 21, 2026 /PRNewswire/ -- Artificial Intelligence (AI) has captured top-level attention for its potential to boost productivity, drive real business transformation, and create new competitive advantages, with executives looking to leverage AI to address specific business challenges, respond to industry disruption, and keep pace with competitors.","source":"PR Newswire","date":"2026-09-21T12:39:00+00:00","content":"Research Highlights Trends and Provides Advice for Driving Organizational Success with AI, Specifically Leveraging Agentic AI, Building AI Platforms, and Scaling Enterprise AI\nNASHUA, N.H., Sept. 21, 2026 /PRNewswire/ -- Artificial Intelligence (AI) has captured top-level attention for its potential to boost productivity, drive real business transformation, and create new competitive advantages, with executives looking to leverage AI to address specific business challenges, respond to industry disruption, and keep pace with competitors. To shed light on this market transformation, Dresner Advisory Services has published five reports examining current usage, trends, roadblocks, and solutions for organizations looking to reap the benefits of AI.\n\"AI is driving a tectonic shift in technology, markets, and business models, and we have expanded our coverage to match this pace of change,\" said Howard Dresner, founder and chief research officer at Dresner Advisory. \"These five new reports provide organizations the models and analysis they need to leverage these technologies effectively and manage them appropriately.\"\nAccording to the 2026 Dresner Advisory Services Wisdom of Crowds AI Development Platforms Market Study, AI development platforms are becoming more encompassing, supporting a larger set of users and roles, and increasingly taking an end-to-end approach to composing models, tools, data, and policies into AI systems that can execute workflows.\nOverall, organizations seem optimistic, aiming to drive more business value from more holistic, coordinated development, deployment, and execution of AI, and are reporting concrete return on their AI investment with the average ROI of 18%. However, aggregate ROI is expected to slow as the \"easy\" early wins from generative AI, vibe coding, and simple agent tasks, or what is referred to as task automation, become harder to reap.\nRapidly expanded use of AI, data science (DS), and machine learning (ML) makes ModelOps a critical discipline for enabling organizations to effectively manage models at scale—especially those entering production, according to the 2026 Wisdom of Crowds ModelOps Market Study. Findings indicate that ModelOps will maintain or increase in importance as organizations develop and manage more models, and as awareness of the business value of ModelOps workflows and platforms becomes widespread.\nRapid adoption of agentic AI highlights yet another driver for robust ModelOps practices, extending their reach beyond AI and ML to encompass all analytical models. As adoption rates and production use of models expands, organizations will need robust ModelOps capabilities to ensure they can easily adapt to changing business needs, maintain proper oversight and management, and ultimately deliver business value.\nDresner also published a Research Insight on Scaling Enterprise AI: Balancing Values and Risks; Aligning Platform and Organizational Readiness, and two Special Reports examining The State of the Enterprise AI Market, and AI and Agentic AI in 2026. These reports provide in-depth analysis of critical aspects of an organization's broader AI strategy.\nAs enterprise AI quickly transitions from experimental pilots to production deployments, organizations face the critical challenge of bridging technological capability with operational readiness. Scaling Enterprise AI outlines the strategic framework required to align platform architecture with organizational competencies, ensuring scalable, secure, and measurable AI execution.\nAccording to the AI and Agentic AI report, generative and agentic AI are becoming indistinguishable, apart from simple, single request use cases, and analytical AI is increasingly becoming a payload within agentic applications. This dynamic makes it critical for data leaders to assess their organizational AI maturities as a whole, rather than by a single type of AI.\nWisdom of Crowds® research is based on data collected on usage and deployment trends, products, and vendors. Users in all roles and throughout all industries contributed to provide a complete view of realities, plans, and perceptions of the market. For more information visit www.dresneradvisory.com.\nAbout Dresner Advisory Services \nDresner Advisory Services was formed by Howard Dresner, an independent analyst, author, lecturer, and business adviser. Dresner Advisory Services, LLC focuses on creating and sharing thought leadership for AI, Analytical Data infrastructure, Analytics and Business Intelligence (BI), Performance Management, ERP, and related areas.\nPress contact:\nDanielle Guinebertiere\nDresner Advisory Services\n[email protected]\n978 254 5587\nSOURCE Dresner Advisory Services","confidence":0.9,"diagnostics_url":"/api/diagnose?url=https%3A//www.prnewswire.com/news-releases/dresner-advisory-publishes-pentalogy-of-ai-research-anchored-by-2026-ai-development-platforms-and-modelops-studies-302884222.html","quality_bucket":"high","failure_kind":"none","retryable":false,"quality_reason":"High confidence: full text extraction produced 4701 characters.","quality_profile":{"profile_version":"extraction_quality.v2","bucket":"high","confidence":0.9,"failure_kind":"none","retryable":false,"retry_after_attempts":0,"reason":"High confidence: full text extraction produced 4701 characters.","operator_guidance":{"severity":"ok","recommended_action":"trust_full_text","next_step":"Use the extracted full text as the primary article source.","operator_label":"Ready","can_retry":false,"can_use_summary":false,"diagnostics_required":false},"content_depth":{"contract_version":"content_depth.v1","category":"full_text","label":"Full text","has_full_text":true,"has_summary":true,"content_length":4701,"summary_length":542,"usable_text_length":4701,"source_field":"content"},"legacy_collapsed":false,"signals":{"extract_state":"ok","extract_error":null,"extract_retries":0,"content_length":4701,"summary_length":542}},"tags":[],"format_contract_version":"news_item_formats.v1"}}}