I’m a technology executive helping organizations scale through AI, SaaS modernization, and data-driven transformation. My work centers around building lean, efficient, and future-ready technology environments — with a strong emphasis on measurable business results.

Currently, I’m helping companies unlock the value of Agentic AI by delivering real-world use cases that increase speed, reduce costs, and create new growth opportunities.

I bring deep experience across platforms like Salesforce, ServiceNow, SAP, Microsoft Dynamics, Workday, Oracle, AWS, Azure, Google Cloud, and Big Data ecosystems — and have led complex, global transformations that blend innovation with operational efficiency.

If your organization is exploring AI, SaaS transformation, or looking for CIO-level insights — let’s connect.

Key Areas of Focus
-AI enablement and practical roadmaps for CIOs
-Lean technology strategy and enterprise stack simplification
-SaaS platform modernization (Salesforce, ServiceNow, SAP, Dynamics)
-Cloud migration, multi-cloud integration, and hybrid architecture
-Big Data and predictive analytics for business intelligence
-Scalable frameworks for hypergrowth environments
-Governance, security, and compliance
-C-level advisory and executive stakeholder engagement
-Development of global Centers of Excellence (COEs)
-Agile, DevOps, and Lean Six Sigma for operating model transformation

Skills & Expertise
-SaaS Transformation & Modernization
-Agentic AI & Automation Strategy
-Salesforce, ServiceNow, SAP, Dynamics
-Cloud Platforms: AWS, Azure, Google Cloud
-Big Data, Analytics, Predictive Insights
-Enterprise Architecture
-IT Strategy & Governance
-Lean Six Sigma (Master Black Belt)
-Global Delivery Leadership

Contact me via email advisory@cloudconsultings.com

Zeya’s Weekly – October 31–November 7, 2025
A week of deep compute, bold deals, and sharper guardrails.
1. Fireworks AI hits a $4 B valuation
The inference-focused startup raised $254 M in Series C funding, signaling that value is shifting from training to real-time performance.
Takeaway: Inference is becoming core infrastructure.
2. Intel eyes SambaNova Systems
Intel is in acquisition talks with the AI-chip company as it races to diversify beyond CPUs and reclaim relevance in the compute stack.
Takeaway: Legacy hardware players are buying their way into the AI future.
3. Policy pressure builds in Washington
Major trade groups urged the White House to address regulatory barriers holding back AI innovation, from export rules to data-center permits.
Takeaway: The next constraint on AI growth might come from policy, not silicon.
4. AI in healthcare gets a global framework
Regulators and researchers gathered to outline lifecycle-based oversight for AI in health, emphasizing safety, transparency, and post-market monitoring.
Takeaway: Governance is moving from theory to practice.
5. Boards take AI oversight seriously
Nearly half of Fortune 100 boards now include AI as a standing agenda item, with directors building dedicated AI literacy programs.
Takeaway: AI is now a boardroom priority, not a tech footnote.
6. Global voices call for a pause on superintelligence
Leaders and researchers renewed calls to halt development of advanced AI until safety and control systems catch up.
Takeaway: The question is shifting from “can we build it” to “should we build it.”
7. Funding stays strong across AI sectors
Investors poured over $3.6 B into AI startups this week across infrastructure, automation, and data management.
Takeaway: Despite uncertainty, capital keeps flowing into scale.

Final Thought
This week reminded us that progress in AI now depends as much on structure as on speed. The edge will belong to those who can balance ambition with accountability - building systems that are powerful, transparent, and human-aligned.

#AIWeekly #ZeyaOttomone #ArtificialIntelligence #Compute #AIRegulation #AIGovernance #AIInfrastructure #AIEthics #AIFunding #AIChips #TechLeadership #FutureOfAI #ResponsibleAI #DataGovernance #AIEconomy

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CIO | SaaS, AI & Big Data Transformation Leader | Agile, DevOps & Lean Six Sigma Expert | Salesforce, ServiceNow, SAP, Dynamics, AWS, Azure

AI Vendors Are Selling Hope
Demos are slick. Case studies are polished.
But behind the scenes, most enterprise AI is still experimental.
Before signing another license, ask one question:
“How many production clients are actually using this at scale?”
You might like the answer less than the slide deck.

#AI #ArtificialIntelligence #MachineLearning #DataScience #AIMetrics #CustomerExperience #ResponsibleAI #AIOptimization #AIEthics #DigitalTransformation #BusinessStrategy #AIAdoption #CustomerInsights #TechLeadership #AIInBusiness

The Overfitted Mindset
A team builds a perfect model on last year’s data.
It performs flawlessly—on yesterday’s world.
Then markets shift, customers change, and the model breaks.
Humans do this too. We overfit to the past.
AI maturity is learning to unlearn.

#AI #ArtificialIntelligence #AIDeployment #DigitalTransformation #DataStrategy #Leadership #EnterpriseAI #AIMaturity #AIGovernance #Innovation #ChangeManagement #BusinessTransformation #TechLeadership #AIAdoption #FutureOfWork

The Algorithm That Forgot to Listen
A bank used AI to recommend offers to customers.
It optimized for click-throughs, not relationships.
Short-term metrics looked great.
Lifetime value dropped.
When AI optimizes for the wrong thing, it wins the game and loses the goal.

#AI #ArtificialIntelligence #MachineLearning #DataScience #AIMetrics #CustomerExperience #ResponsibleAI #AIOptimization #AIEthics #DigitalTransformation #BusinessStrategy #AIAdoption #CustomerInsights #TechLeadership #AIInBusiness

Regulation Won’t Slow AI. It’ll Expose Weakness.
Some executives fear AI regulation.
The stronger ones welcome it.
Because compliance doesn’t stop good systems.
It only reveals which ones were built on shortcuts.
Governance and performance aren’t opposites.
They’re allies.

#AI #ArtificialIntelligence #AIGovernance #AIRegulation #ResponsibleAI #AIEthics #Compliance #RiskManagement #TrustInAI #EnterpriseAI #DigitalTransformation #TechLeadership #AITransparency #AIAccountability #BusinessStrategy

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