Capital One

Senior Manager Enterprise Portfolio Delivery Manager/Agile Program Manager | Digital Transformation

Synchrony

VP Release Train Engineer/Agile Program Manager/ Lean Portfolio Manager Cyber Security

The Mosaic Company

Agile Coach | Agile Program Manager | Lean Portfolio Manager | RTE

Toyota North America

Agile transformation Coach / Agile Coach / Scrum Master

Cognizant

Agile Transformation Coach / Agile Coach / Agile Delivery Lead

VIG Acquisitions

Technical Agile Coach 

MansaTek

Technical Agile Coach / Scrum Master

Full Stack Engineer

Capitol One

Data Center Technician

🔍 AI & ML Enthusiast | Agile Transformation Expert | Visionary AI Program & Product Manager

With over a decade of experience in Agile Transformation, Technical Program Management, and Release Train Engineering, I've been at the forefront of driving digital strategies and fostering growth across various industry domains. My passion lies at the intersection of AI, ML, and data-driven decision-making. Having championed organizational transformations in the I.T. industry, I've developed a keen sense of leveraging data to drive product innovation and operational efficiency.

🌐 My experience spans Fortune 100 to 300 companies, where I've effectively engaged with stakeholders and executive management, skills crucial for AI product management. My hands-on approach in overseeing tech initiatives, risk management, and strategic leadership has equipped me to navigate the complexities of AI projects, ensuring they align with business objectives.

🤖 I've witnessed firsthand the transformative power of AI tools in freelancing, amassing 2,000+ LinkedIn News Subscribers in just 30 days. This exposure has solidified my belief in the potential of AI to revolutionize industries.

📊 My expertise in managing cross-functional teams, stakeholder management, and driving cross-program collaboration makes me adept at bridging the gap between technical AI teams and business units. I'm well-versed in cloud platforms, which are essential for AI & ML deployments. I have a proven track record in managing third-party applications, ensuring seamless integration and deployment of AI solutions.

🚀 As I look forward to transitioning into AI, ML, and data, I'm eager to bring my leadership skills, strategic vision, and Agile expertise to drive AI initiatives from conception to completion. I'm excited to collaborate with forward-thinking teams and organizations to harness the power of AI, creating impactful solutions for tomorrow.

Data-Driven at Heart: I've consistently leveraged data to inform decisions and drive improvements throughout my career. My hands-on experience with tools like EazyBI allowed me to craft meaningful metrics, and my proficiency with Google Sheets and Excel enabled me to create custom metric charts tailored for Agile teams. These initiatives were not just about numbers; they were strategic efforts to enhance delivery, streamline processes, and foster a culture of continuous improvement. In AI and ML, where data is the foundation, I'm excited to bring this data-centric approach to drive impactful results.

Ai for Everyone Andrew NG
Ai and Data Product Manager

C.L. Abor Jr

I have been instrumental in driving the growth of 13D’s business for three decades by being actively involved in the identification, development, and analysis of many of the firm’s core global investment themes—primarily focusing on how disruptive technologies are helping provide solutions to economic problems and transforming industries through the “Law of Accelerating Returns” and Joseph Schumpeter’s “Gales of Creative Destruction.”

Woodley B. Preucil, CFA

Reading these numbers got me thinking about how fast the business landscape is changing. 78% of organizations now use AI, U.S. investment hit $109 billion, and generative AI alone pulled in nearly $34 billion globally. Those aren’t just stats, they’re proof that AI is moving from experiment to operational backbone.

This is what I see: companies that treat AI as a toolkit, not a replacement, are the ones actually winning.

It’s boosting productivity, helping teams close skill gaps, and opening new ways to solve problems we didn’t even know how to tackle before. 

The real challenge now isn’t adoption, it’s figuring out how to integrate it in ways that actually make work smarter, not just faster.
This is the moment where strategy matters more than tech hype. Those who get it right will define what efficiency and innovation look like for the next decade.

Only 5% of companies are generating real business value from AI. Nearly 60% admit they’ve seen little to no impact, despite major investment. The difference isn’t tools. 

It’s execution. 

Top performers see 1.7× higher revenue, 1.6× better margins, and 2× more cost savings because they’ve redesigned how work happens.

#ArtificialIntelligence #AI #Technology #Investors

4 Things Investors Need to Know About AI 

Data centers have quietly become the most critical infrastructure of the modern economy,  powering AI models, digital services, and the cloud itself.
By 2030, global data center investments are expected to reach $7 trillion, with over $4 trillion going to computing hardware. Nearly 40% of this spending will happen in the United States, making it not just a tech story, but an economic one.

For states, this is more than an infrastructure play, it’s a strategic opportunity. The ones that plan smartly can attract innovation, support sustainable energy development, and create long-term digital resilience.

What this really means: the data center isn’t just where data lives, it’s where the future is being built.

With every challenge I face whether in leadership, strategy, or personal growth, I’m reminded that problems don’t become clearer just because we think harder. 

They become clearer when we pair understanding with decisive movement. 


Insight without action is just potential waiting on the sidelines. Action without insight is motion without direction. 

But when the two meet? 

Complexity dissolves. Solutions emerge. Momentum builds. 

As leaders, it’s our responsibility not just to see the path, but to take the step. Every breakthrough I’ve ever made began the moment I stopped overthinking and started executing

I’ve never been comfortable following the script simply because it’s the script. 
Innovation starts the moment we get curious enough to challenge what most people take for granted. 

Some of the greatest progress I’ve made personally and professionally came from asking one simple question: ‘Why does it have to be this way?’ 

Leaders don’t change things by accepting limits, they change things by questioning them. 

When we stop settling for the obvious and start digging deeper, that’s when breakthrough ideas are born. Progress begins where comfort ends.

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What do you think is the biggest reason a company would fail to use these AI tools? Is it the lack of skills or poor workflow integration? 

Comment down below!

What’s the biggest reason companies fail to use the AI tools they’ve already purchased? 

The author can see how you vote. Learn more

Spotlight this week on @Qure.ai — a startup that's quietly rewriting the rules for lung‑health diagnostics. 

Their AI-powered tools turn ordinary chest X‑rays into powerful early‑triage instruments, helping spot lung nodules, infections, and chronic conditions long before traditional screening catches them.

Here’s why this matters: in many parts of the world, radiologists are rare, imaging delays are common, and diagnostic backlogs cost lives. 

Qure.ai’s work doesn’t just speed up diagnosis — it democratizes access, especially in lower‑resource settings.

If we want healthcare to be equitable, scalable and intelligent, solutions like Qure.ai must lead the way. This isn’t just a tech story — it’s a health‑equity and human‑impact story.

Different countries are walking into AI-powered healthcare with completely different levels of confidence.
In places like China and South Korea, most people are comfortable with AI as their first point of diagnosis. In the US and much of Europe, that number drops sharply.
Where you stand on this shift. Would you trust an AI-led diagnostic system as your first evaluation? Vote below.

Would you personally trust an AI-first diagnostic system as your initial health evaluation? 

taplio

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C.L. Abor Jr

Woodley B. Preucil, CFA

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taplio

The Battle

C.L. Abor Jr

Woodley B. Preucil, CFA

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Performance Score.css-goub6s{font-size:var(--chakra-fontSizes-md);font-weight:500;color:var(--chakra-colors-gray-600);display:block;margin-top:var(--chakra-space-1);}Woodley B. Preucil, CFA's LinkedIn Performance

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