On August 13, a virtual summit will unite enterprise technology leaders to tackle the overlooked gaps between AI adoption, expenses, risk exposure, and quantifiable business outcomes.
Organizations have devoted the past two years to demonstrating AI’s capabilities. The upcoming two years will focus on validating its worth: what it costs, where vulnerabilities lie, and what it truly delivers.”— Shyam Kumar, CEO, CloudNuro
CloudNuro, an enterprise platform for managing AI, SaaS, and cloud environments, has revealed the AI Adoption Management Summit 2026. This virtual event brings together technology, data, security, and business executives on Thursday, August 13, 2026, from 11:00 a.m. to 3:00 p.m. ET.
The summit, operating under the theme “The Blindspots of AI Adoption,” shifts the enterprise AI conversation from experimentation toward accountability. It will explore where AI is deployed, its associated costs, performance levels, organizational vulnerabilities, and whether investments yield measurable business value.
A 2025 report from MIT’s NANDA initiative revealed that 95% of studied organizations saw no measurable return from their generative AI efforts. Concurrently, BlackFog’s 2026 Shadow AI research found that 49% of employees use AI tools unauthorized by their employers, creating security, privacy, and governance risks that may stay hidden from IT departments.
These findings together highlight a growing disconnect between the rapid pace of AI adoption and the visibility, governance, and financial discipline needed to manage it effectively.
“Companies spent the last two years proving what AI can do. The next two will be about proving what it’s worth,” stated Shyam Kumar, Founder and CEO of CloudNuro. “Most leaders can articulate their AI aspirations in detail, but not the costs of those tools, where exposures exist, or what they deliver. That gap is where the real work lies, and it is what we designed this summit around.”
The summit targets CIOs, CTOs, chief AI officers, CISOs, CFOs, engineering leaders, and heads of AI—individuals responsible not only for accelerating AI adoption but also for demonstrating its security, efficiency, and business value.
Five Blindspots of Enterprise AI Adoption
The agenda will address five hurdles that often prevent enterprise AI initiatives from scaling responsibly and generating measurable outcomes:
• Shadow AI: AI tools used outside formal approval, security review, and governance, creating hidden risks around data, access, and compliance.
• Runaway Token Costs: Unpredictable and rapidly rising generative AI consumption costs as enterprise usage, applications, and agents expand.
• Real-Time Risk: Excessive token consumption from bloated prompts and verbose responses, causing financial leakage and performance bottlenecks while delivering diminishing value.
• Stalled Returns: AI performance gains that level off while compute, data, and infrastructure expenses continue climbing, challenging the economics of traditional scaling.
• Silent Failures: AI models and systems that silently degrade, drift, or generate inaccurate results without timely detection, potentially impacting customers and operations.
Attendees will gain practical insights into identifying enterprise AI use cases, attributing costs, monitoring risk and performance, and building an operating model that links AI adoption to accountability and measurable value.
Speakers Representing the AI Adoption Lifecycle
The announced speaker lineup brings together leaders with expertise spanning AI research, enterprise technology, data science, business transformation, governance, and investment:
• Shyam Kumar, Founder and CEO, CloudNuro
• Ravi Reddy, Founder, Chairman and CEO, Sunera Group; Venture Partner
• Dr. Shailesh Kumar, Chief Data Scientist, AI/ML Center of Excellence, Jio
• Jesse Carrillo, former Chief Information Officer, Hines and Howard Hughes
• Balakrishna Reddy, Chief Data Scientist and Vice President, AI/ML Center of Excellence, Jio
Together, these speakers will offer viewpoints spanning the entire AI adoption lifecycle—from developing and scaling AI systems to funding, governing, and measuring their enterprise impact.
CloudNuro is organizing this summit as organizations move past isolated AI pilots and start treating AI as a new operational and financial category, similar to SaaS applications and cloud infrastructure.
Registration is currently open at www.cloudnuro.ai/ai-summit-2026.
About CloudNuro
CloudNuro is an enterprise AI, SaaS, and cloud management platform delivering unified visibility, governance, and cost optimization across modern technology environments. The platform helps organizations discover applications and AI tools, track adoption and usage, allocate and optimize spending, manage access, and strengthen governance and accountability.
CloudNuro serves enterprises and government agencies and has earned industry recognition from the Chicago Innovation Awards, Gartner, Info-Tech SoftwareReviews, and Everest Group.
For more information, visit www.cloudnuro.ai.
Media Contact
CloudNuro Corp.
Email: website@cloudnuro.com
Website: www.cloudnuro.ai
Sources:
MIT NANDA, The GenAI Divide: State of AI in Business 2025
BlackFog, 2026 Shadow AI Research
Shyam Kumar
CloudNuro Corp
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