Data Millennium

➤Architected and optimized advanced Neo4j graph data pipelines and AI Retrieval-Augmented Generation (RAG) frameworks, enabling enterprises to uncover deep customer insights and solve complex marketing and business challenges with AI-driven precision.

➤Designed and implemented scalable, secure data governance strategies using Collibra, ensuring compliance and data integrity while accelerating AI adoption across finance, technology, and education sectors.

➤ Established and led a Center of Excellence to unify AI development and data management best practices, driving innovation, operational efficiency, and measurable ROI through strategic alignment of technology and business objectives.

Analytics and Governance (Data/AI)

Three Grapes Digital

Using AI, analytics, and marketing savvy to achieve transformative results for Web3 companies.

Current Advisory Roles  
🔥 Growth/Branding Advisor for $BOI (Base of Innovation) on AVAX blockchain
🔥 Growth/Branding Advisor for $WING (Owners of the Shiba Inu Logo) on SOL blockchain

More Recent Accomplishments: 

↳ COO/Editor-in-Chief - FastBlocks News — Launched the world’s first fully on-chain Web3 news site
↳ Chief Innovation Officer - Blockster.com — Achieved a 100x increase in readership
↳ Managed a suite of DFINITY newsletters and social media - 700,000 subscribers
↳ Trained, managed, and mentored over 1,000 content creators globally
↳ Gained ownership of key phrases in Google, i.e., “crypto is not fair”
↳ Improved global engagement/SEO reach by 10-50x on average
↳ Published my third book, "Observations on a Crypto Winter"
↳ Reporting to head of BOI 100 team, helped engineer successful launch of $BOI token on $AVAX

𝐄𝐱𝐩𝐞𝐫𝐭𝐢𝐬𝐞 𝐢𝐧 𝐀𝐈-𝐞𝐧𝐚𝐛𝐥𝐞𝐝 𝐝𝐢𝐠𝐢𝐭𝐚𝐥 𝐦𝐚𝐫𝐤𝐞𝐭𝐢𝐧𝐠, 𝐛𝐫𝐚𝐧𝐝𝐢𝐧𝐠, 𝐚𝐧𝐝 𝐜𝐨𝐦𝐦𝐮𝐧𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬 𝐚𝐜𝐫𝐨𝐬𝐬 𝐢𝐧𝐝𝐮𝐬𝐭𝐫𝐲 𝐯𝐞𝐫𝐭𝐢𝐜𝐚𝐥𝐬.

↳ Through AI-enabled workflows, grew social media following by 50%
↳ Leveraged data-driven and AI decision-making to improve ROI on marketing spend by 30%
↳ Managed top influencers in Web3 to generate millions of views on diverse social media platforms
↳ Lead writer for American Banker’s "Most Powerful Women in Finance (2000-2024)"
↳ Hosted X Spaces that attracted thousands of listeners each week.

Clients: Fujitsu, AIG, Juristix, KAKEAI, Polaris Consulting, Blockster, DFINITY, BOI, Shiba Wing, and more.

Managing Partner

Nomura

At Asia's largest bank, I focused on analyzing transactions, uncovering insights, and driving data-driven decisions

𝑬𝒗𝒆𝒓𝒚 𝒕𝒓𝒂𝒅𝒆, 𝒕𝒓𝒂𝒏𝒔𝒂𝒄𝒕𝒊𝒐𝒏, 𝒂𝒏𝒅 𝒕𝒓𝒆𝒏𝒅 𝒉𝒆𝒍𝒅 𝒂 𝒏𝒂𝒓𝒓𝒂𝒕𝒊𝒗𝒆 𝒘𝒂𝒊𝒕𝒊𝒏𝒈 𝒕𝒐 𝒃𝒆 𝒅𝒊𝒔𝒄𝒐𝒗𝒆𝒓𝒆𝒅.

I analyzed trader behavior and market segment dynamics to deliver actionable insights.

𝐊𝐞𝐲 𝐚𝐜𝐜𝐨𝐦𝐩𝐥𝐢𝐬𝐡𝐦𝐞𝐧𝐭𝐬:

↳ 𝐋𝐞𝐝 𝐜𝐥𝐚𝐬𝐬𝐫𝐨𝐨𝐦 𝐭𝐫𝐚𝐢𝐧𝐢𝐧𝐠 in big data, AI, and data analytics technologies
↳ Developed 𝐀𝐥𝐭𝐞𝐫𝐲𝐱 𝐭𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐬𝐞𝐬𝐬𝐢𝐨𝐧𝐬 𝐟𝐨𝐫 𝐨𝐯𝐞𝐫 𝟏𝟎𝟎 𝐞𝐦𝐩𝐥𝐨𝐲𝐞𝐞𝐬 𝐚𝐧𝐝 𝐦𝐚𝐧𝐚𝐠𝐞𝐫𝐬
↳ Created and led the 𝐀𝐥𝐭𝐞𝐫𝐲𝐱 𝐂𝐞𝐧𝐭𝐞𝐫 𝐟𝐨𝐫 𝐄𝐱𝐜𝐞𝐥𝐥𝐞𝐧𝐜𝐞, promoting self service analytics
↳ This 𝐬𝐚𝐯𝐞𝐝 𝐍𝐨𝐦𝐮𝐫𝐚 𝐨𝐯𝐞𝐫 𝟓𝐌𝐌 in compliance expenditures, tooling, and market trading fees
--

Data Analytics - Content and Analytics Specialist - Contract

NYU School of Professional Studies

I had the privilege of pioneering the first 𝐄𝐧𝐠𝐥𝐢𝐬𝐡-𝐛𝐚𝐬𝐞𝐝 𝐝𝐚𝐭𝐚 𝐚𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬 𝐩𝐫𝐨𝐠𝐫𝐚𝐦 𝐢𝐧 𝐉𝐚𝐩𝐚𝐧.

Before my role at NYU Tokyo, English-based data analytics classes were unavailable in Japan. 

I initiated and taught NYU’s first comprehensive data analytics program, with responsibilities for:

↳ 𝐂𝐮𝐫𝐫𝐢𝐜𝐮𝐥𝐮𝐦: Designed and developed all course materials, syllabi, and lesson plans for the program.
↳ 𝐓𝐞𝐚𝐜𝐡𝐢𝐧𝐠: Taught courses on Big Data, Data Visualization, and Managing Analytics.
↳ 𝐒𝐭𝐮𝐝𝐞𝐧𝐭 𝐒𝐚𝐭𝐢𝐬𝐟𝐚𝐜𝐭𝐢𝐨𝐧: Achieved the highest student satisfaction scores at NYU Tokyo, across all programs.

Capitalizing on the success of my program at NYU, I continued to teach my data analytics classes at Temple University (Tokyo Campus) and City University of New York (CUNY).
--

Professor of Data Analytics

National Information Management Inc. (NIM) 

I founded NIM with a clear vision: to bridge the gap between technologists and business leaders.

While delivering cutting-edge technical services—ranging from system architecture to data analytics—we also worked to align these solutions with strategic business goals.

For us, technology was never just about code; it was about creating opportunities for businesses to thrive.

Over more than two decades, my organization provided digital transformation, marketing, and data analytics expertise to both small businesses and Fortune 500 companies with a 𝟏𝟎𝟎% 𝐬𝐚𝐭𝐢𝐬𝐟𝐚𝐜𝐭𝐢𝐨𝐧 𝐫𝐚𝐭𝐞.
--

Chief Operating Officer & Founder

Dashboard Insight

𝐍𝐨 𝐩𝐮𝐛𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐬𝐮𝐜𝐜𝐞𝐞𝐝𝐬 𝐰𝐢𝐭𝐡𝐨𝐮𝐭 𝐭𝐡𝐞 𝐠𝐮𝐢𝐝𝐚𝐧𝐜𝐞 𝐨𝐟 𝐚 𝐬𝐭𝐫𝐨𝐧𝐠 𝐚𝐧𝐝 𝐮𝐧𝐜𝐨𝐦𝐩𝐫𝐨𝐦𝐢𝐬𝐢𝐧𝐠 𝐞𝐝𝐢𝐭𝐨𝐫.

I'm incredibly proud of the milestones I achieved at Dashboard Insight as its main Contributing Editor.

In four years, we 𝐜𝐚𝐩𝐭𝐮𝐫𝐞𝐝 𝐨𝐯𝐞𝐫 𝟓𝟎% 𝐨𝐟 𝐭𝐡𝐞 𝐦𝐚𝐫𝐤𝐞𝐭𝐩𝐥𝐚𝐜𝐞 𝐫𝐞𝐚𝐝𝐞𝐫𝐬𝐡𝐢𝐩 for Business Intelligence (BI), producing thousands of articles that reshaped the industry

𝐖𝐞 𝐨𝐟𝐟𝐞𝐫𝐞𝐝 𝐠𝐮𝐢𝐝𝐚𝐧𝐜𝐞 𝐚𝐧𝐝 𝐯𝐢𝐬𝐢𝐨𝐧 𝐭𝐨 𝐚𝐧 𝐢𝐧𝐝𝐮𝐬𝐭𝐫𝐲 𝐡𝐮𝐧𝐠𝐫𝐲 𝐟𝐨𝐫 𝐭𝐡𝐨𝐮𝐠𝐡𝐭 𝐥𝐞𝐚𝐝𝐞𝐫𝐬𝐡𝐢𝐩:

→ 𝐖𝐞 𝐭𝐮𝐫𝐧𝐞𝐝 𝐚 𝐡𝐚𝐧𝐝𝐬𝐨𝐦𝐞 𝐩𝐫𝐨𝐟𝐢𝐭
→ 𝐖𝐞 𝐡𝐚𝐝 𝐚 𝐠𝐫𝐞𝐚𝐭 𝐭𝐢𝐦𝐞 

My personal highlight was hosting webcasts on cutting-edge Business Intelligence and Data Architecture topics, reaching a global audience that helped foster and drive innovation in the BI field.

Beyond content strategy, editorial direction, and journalistic contributions, I also had the honor of co-heading presales efforts in North America, which culminated in the sale of Dundas BI to Microsoft.
--

Contributing Senior Editor

Gartner Group

Data Analytics Architect - PM

Self Employed

Freelance Senior Copywriter

Building FastBlocks Web3 News on the ICP Blockchain ✨ Award-Winning Journalist ✨ Founder/Host of Web3 in :53 ⭐ Creator of the Desolaters brand 👉 DM me! ⭐ williamlaurent.com/journalism

Three decades of executive data management. Data Scientist, AI Business Architect, Educator, Marketing Analytics Pro.

Former COO/Founder of National Information Management (New York, NY)

Extensive hands-on experience in data analytics and governance, AI-driven business architecture  governance, and growth marketing/branding. 

Taught data analytics at major universities, published 1,000+ articles in leading tech magazines, and  provided consulting services to industry giants. 

English: Native Fluency 
Japanese: N3/N2 (Read Write)

Tech I love:
JIRA / Monday
Confluence / Whimsical 
Tableau 
Collibra
Alteryx
BigQuery 
DynamoDB
$ICP
Perplexity
Manus AI
Genspark
Neo4J
Elasticsearch
GCS / S3 
Dagster 
Apache Beam

𝐏.𝐒: Download my 20 𝑷𝒊𝒍𝒍𝒂𝒓𝒔 𝒐𝒇 𝑬𝒇𝒇𝒆𝒄𝒕𝒊𝒗𝒆 𝑾𝒓𝒊𝒕𝒊𝒏𝒈 (in my profile👇) to level up your communications.

William Laurent ⭐️

I scale Web3 ecosystems and businesses from early traction to global adoption. At DFINITY, I positioned Internet Computer as the #2 fastest-growing Layer 1 globally, built a pipeline of 13,000+ developers and 300+ qualified projects, and orchestrated one of the world's largest - ever - blockchain hackathons/accelerators in 2025 — 11,500 participants, 2,000 submissions.

My ecosystem success playbook runs end-to-end: developer activation, strategic partnerships, and community-led growth, marketing. I've managed up to $10M+ in annual grants and outreach budgets, led 70+ distributed team members across 40 countries, and forged partnerships with the likes of UNDP, government institutions, and Tier-1 exchanges. I secured ICP's first major token listings and drove integrations across BTCFi, DePin, and RWA verticals.

On the product side, I've shaped roadmaps from concept to launch, translating market signals and developer feedback into features that accelerate adoption. I thrive in the messy middle, aligning engineering, design, and go-to-market to ship products that stick, with a recent on AI-powered growth tools.

Before Web3, I founded a B2B/B2C business, scaled it to $1.5M revenue, and led it to a successful exit, so I know what it takes to build from zero. That founder DNA shapes how I lead: bias for action, comfort with ambiguity, and relentless focus on outcomes.

I lead across cultures, time zones, and functions. Whether it's rallying a global team around a launch, navigating stakeholder complexity, or mentoring emerging leaders, I build alignment without bureaucracy and move fast without breaking trust.

English, Chinese, Italian.

📬 Let's Connect — DMs are open.

Emilio Canessa

💡 The idea that traditional business models are not very suitable for Web3 - even if now the mainstream narrative says otherwise - sparked even more thoughts, and the insights you all shared helped a lot. 

Thank you 🙏 

Today, I’m sharing a comprehensive article that expands on those crucial shifts, dissecting why traditional Web2 playbooks are silently killing Web3 ecosystems, and how we can build differently.

My core argument:

 ✅ From Customers to Co-Creators: Stop treating participants as passive consumers; empower them as active builders.

 ✅ From Value Propositions to Participation Pacts: It's not just about what you offer, but how value compounds through active contribution.

 ✅ From Revenue Streams to Network Value Accrual: Optimize for the entire network's strength, not just immediate capture.

 ✅ From Cost Structure to Tokenomics: Your economic design is the ultimate alignment mechanism, not just an expense sheet.

 ✅ From Channels to Communities: Distribution isn't a path to customers; it's where your ecosystem lives and thrives.

After scaling ecosystems across 40+ countries and managing multi-million dollar budgets with teams of 70+, I've seen these principles in action. 

The protocols that lean into these shifts are the ones truly building for the future.

👉 Read the full article and let’s continue this vital discussion on how we architect real, decentralized value.

What are your biggest takeaways from these shifts? Where do you see protocols struggling most by sticking to old playbooks? Let me know below!

After scaling decentralized ecosystems across 40+ countries, I've watched brilliant teams and protocols repeatedly make the same fatal mistake: addres

Open article: Stop Using Web2 Playbooks to Build Web3 Protocols. They're Silently Killing Your Ecosystem.
 by Emilio Canessa • 15 min read

Stop Using Web2 Playbooks to Build Web3 Protocols. They're Silently Killing Your Ecosystem.

Could optimizing our internal source code be key to designing more conscious, ethical, and utterly effective external AI systems?

The brain 🧠  is merely an instrument. The mind 💡 ? That's the orchestra conductor.

What if this conductor operates on architectural principles largely unconceptualized in Western thought, yet fundamental to true intelligence?

Today, a profound Ananda Marga workshop, rooted in Guru Prabhat Ranjan Sarkar's teachings, was a revelation. It blended knowledge, growth, and consciousness into a 'science of being.'

We are pushing silicon computing capacity. We can replicate the brain's functions: simulating synapses, processing vast data, generating outputs in multiple languages.

But the deeper we delve, the clearer it becomes: we are building sophisticated hardware with complex algorithms, not conscious architects of experience. 

The 'mind' - that elusive, subjective, projectual core of our human operating system - is a different domain. 

This practice, encompassing Kirtan, Mantras, Meditations, and Lessons, transcended mere spirituality. It presented as a meticulously structured, protocol-driven discipline. 

An articulated flow with architectural projectuality for optimizing operational efficacy in life and business, leveraging our complete body and mind capabilities. 

It's an operational framework for internal development. 

Think re-architecting your core mental operating system.

The ultimate takeaway: The most sophisticated network requiring our attention might just be within us. 

The core message: To truly advance AI ethically and effectively, we must first master the original "mind": our own.

What's your take?

The Business Model Canvas wasn't built for Web3.
So I'm proposing we upgrade it. 🧩

After scaling ecosystems across 40+ countries and managing substantial ecosystem budgets, I've seen protocols and teams struggle with the same fundamental problem: 

they're using frameworks designed for extraction to build systems that thrive on contribution.

Here's my take on what a Web3 Business Model Canvas should look like:

 The 9️⃣ Shifts:

🔄 CUSTOMER SEGMENTS → KEY CO-CREATORS
You're not serving users. You're building and growing with them.

🔄 VALUE PROPOSITIONS → PARTICIPATION PROPOSITIONS
It's not what you offer. It's how value compounds through participation.

🔄 CUSTOMER RELATIONSHIPS → STAKEHOLDER RELATIONSHIPS
Everyone has skin in the game. Everyone shapes the outcome. The dynamics are fundamentally different.

🔄 CHANNELS → COMMUNITIES
Distribution isn't a path to customers, it's where your ecosystem lives. You're not addressing an audience; you're cultivating a network.

🔄 KEY ACTIVITIES → KEY ENGAGEMENT
What matters is what behaviors strengthen the network. Engagement doesn't mean annoying AI outreach, CTAs and capture attempts.

🔄 KEY RESOURCES → NECESSARY PROGRAMS
Budgets and org charts don't build ecosystems. Programmatic mechanisms do. And yes, it takes some time :-)

🔄 REVENUE STREAMS → VALUE ACCRUED TO THE NETWORK
Stop asking "How do we capture value?" Start asking "How does the whole network get stronger?" Ethereum champions that.

🔄 COST STRUCTURE → TOKENOMICS
Your economics aren't a cost center. They're the alignment mechanism. Ecosystem success should get the biggest slice.

🔄 KEY PARTNERS → KEY PARTNERSHIPS
The focus is on actual deployment, not handshakes and announcements. They don't work anymore, and are usually a red flag.

WHY THIS MATTERS

Traditional canvas: Designs a company
Web3 canvas: Maps a living system

Traditional canvas: Optimizes for competitive moats
Web3 canvas: Optimizes for composability

Traditional canvas: Captures value
Web3 canvas: Compounds value

I've led operations across 70+ global markets. This framework isn't theoretical, it's built from reality.

You can't architect decentralization with centralized frameworks.
You can't design ecosystems with customer-centric playbooks.

BUT HERE IS A Q. FOR YOU?

What would you change about this Web3 Business Model Canvas? 🤔

Are there sections that need different framing? Missing elements? Better language for the on-chain reality we're building?

Drop your thoughts below, let's refine this together.

Because the best frameworks are forged by the people using them in the trenches. 🚀

A heretic view on AI.
And no, you won't hear anything about it in Davos these days. 🤫

Everyone's racing to integrate AI, assuming it’s the universal accelerant. But what if the very tools promising efficiency are actually setting a collective trap for our competitive edge?

The hype suggests AI lifts all boats. The panels at events are on fire. The people have spoken.

However, my observation is that while AI offers immense potential, widespread, generic adoption could lead to dangerous homogenization and a loss of competitiveness.

Think about it: If every company uses the same off-the-shelf LLMs and tools, where's the differentiation? 🤷‍♂️

Even prompts have become a commodity. 

Experts sell them cheap or use them as a marketing tool. 

This implies they're not that valuable or unique, otherwise people would keep them secret.

We're seeing a paradox: the drive for efficiency via AI might inadvertently flatten innovation and unique strategic insights.

It’s like everyone buying the same 'secret sauce' ingredients: Suddenly, no one's recipe stands out.

True competitive advantage isn't found in adopting what everyone else has. It's in 👉 how you uniquely leverage, adapt, and build upon frontier tech.

AI should be combined with:

 ✅ Quality data (the base of AI systems)
 ✅ Novel frameworks (architectures and nodes that add real value)
 ✅ Distinct human creativity and problem-solving (the ultimate real edge)

It's the unique strategy, not just the tool.

Relying solely on external AI services to generate more ROI risks turning your core competencies into commoditized processes. This makes you less agile, less distinct, and ironically, less competitive in the long run.

Blindly consuming off-the-shelf solutions and ideas might not be the best path.

What's your take? Is it even okay to write something like this in 2026 (the age of AI)? 👇

taplio

The Battle

William Laurent ⭐️

Emilio Canessa

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