I built and sold a business to HubSpot in just 17 months.

I co-founded Mindstream, an AI newsletter that scaled to 150,000+ subscribers. Today, Mindstream is part of the HubSpot Media Network, where I lead brand strategy for the AI media products. 

Along the way, I’ve grown a 200,000+ following on LinkedIn, sharing real, unfiltered lessons on AI, entrepreneurship, and business growth. The wins and the mistakes.

I believe action beats hesitation. The biggest risk? Never starting.

Adam Biddlecombe

Helping Entrepreneurs Build with AI | Founder, Mindstream (Acquired by HubSpot)

Co-Founder & CEO 

98% think they’re using Claude perfectly.

They open the AI chat box and start prompting.

That’s exactly why they’re leaving 80% of its power unused.

When I first started using Claude, 
I made the same mistake.

I treated it like a chatbot.
Ask question → get answer → repeat.

But now, as I’ve set up Claude properly, 
Everything changed.

It started behaving like a system that actually works with me.
I got:
- Better writing.
- Better research.
- Better coding.
- Better reasoning.

Most people never unlock this because they skip the setup.

That’s why I’ve created this simple breakdown of how you can set up Claude the best way for you.

Here are the key ideas behind a powerful Claude setup:
→ Install Claude properly (desktop unlocks more capabilities)
→ Choose the right model for the job
→ Create a personal voice file Claude can reference
→ Define what you reject so Claude avoids bad habits
→ Give Claude real folders and context to work with
→ Enable features like artifacts and code execution
→ Add job-specific plugins for specialized work
→ Build reusable skills and workflows

When you configure Claude correctly, 
It starts acting like a reliable AI operator.

Do’s:
✅ Set profile preferences so Claude understands your writing style
✅ Give clear instructions and structured prompts
✅ Connect tools and folders for real context
✅ Create repeatable skills for frequent tasks
✅ Test different models based on the problem

Don’ts:
❌ Don’t rely on vague prompts and expect perfect outputs
❌ Don’t leave API keys or secrets in prompts or code
❌ Don’t ignore Projects when organizing complex work
❌ Don’t share sensitive data without checking security settings
❌ Don’t skip testing new Claude features and tools

If you set this up correctly, 
Claude becomes extremely powerful for:
• Writing
• Coding
• Research
• Analysis
• Workflow automation

To see the full setup breakdown, 
Check the infographic below 👇 
It will save you hours of trial and error.

Want to master how to use ChatGPT at work?
Grab my free guide here: https://lnkd.in/eJPyZ-Qe 

Curious to know something:
What do you think about setting up Claude for your workflow?
Comment below 👇

98% think they’re using Claude perfectly.

They open the AI chat box and start prompting.

That’s exactly why they’re leaving 80% of its power unused.

When I first started using Claude, 
I made the same mistake.

I treated it like a chatbot.
Ask question → get answer → repeat.

But now, as I’ve set up Claude properly, 
Everything changed.

It started behaving like a system that actually works with me.
Better writing.
Better research.
Better coding.
Better reasoning.

Most people never unlock this because they skip the setup.

That’s why I’ve created this simple breakdown of how you can set up Claude the best way for you.

Here are the key ideas behind a powerful Claude setup:
→ Install Claude properly (desktop unlocks more capabilities)
→ Choose the right model for the job
→ Create a personal voice file Claude can reference
→ Define what you reject so Claude avoids bad habits
→ Give Claude real folders and context to work with
→ Enable features like artifacts and code execution
→ Add 

If you want to be ahead of everyone in 2026,

You need to build your team of AI employees.

I used to think scaling meant working more hours and doing everything myself.

But now I did something different.
I built an AI team.

Every AI tool acts as an employee.
One for marketing.
One for development.
One for design.
One for research.
One for automation.
And more.

And suddenly, 
Work that took weeks,
Started finishing in hours.

Here’s how people are using AI as employees today:
→ ChatGPT as Chief Strategy Officer
→ Perplexity as Research Assistant
→ Claude as Writer
→ Canva as Designer
→ Zapier as Automation Engineer
→ Replit as Developer
→ HubSpot as Sales Manager
→ Beehiiv as Newsletter Manager
→ Taplio and Tweet Hunter as Ghostwriters
→ Gamma and VEED as Presentation and Video Experts

Most people fail with AI because they treat tools like toys.
High performers treat them like roles.

Do’s:
✅ Do assign one clear role per tool
✅ Do give examples and standards upfront
✅ Do review outputs like a manager
✅ Do combine tools into workflows
✅ Do keep humans in the decision loop

Don’ts:
❎ Don’t expect perfection on first output
❎ Don’t overload one tool with many roles
❎ Don’t skip context and instructions
❎ Don’t blindly trust outputs without review
❎ Don’t chase every new tool without a system

AI doesn’t replace teams.
It replaces friction.

If you want to know all the tools,
Check the infographic below 👇 

It visually maps how each AI fits into a real team.

If you like this and want to get free access to our complete ChatGPT at Work bundle guide, get it here: https://lnkd.in/e6yDSf4F 

What you think about building your own team of AI employees using powerful tools?
Comment below 👇

If you want to be ahead of everyone in 2026,

You need to build your team of AI employees.

I used to think scaling meant working more hours and doing everything myself.

But now I did something different.
I built an AI team.

Every AI tool acts as an employee.
One for marketing.
One for development.
One for design.
One for research.
One for automation.
And more.

And suddenly, 
Work that took weeks,
Started finishing in hours.

Here’s how people are using AI as employees today:
→ ChatGPT as Chief Strategy Officer
→ Perplexity as Research Assistant
→ Claude as Writer
→ Canva as Designer
→ Zapier as Automation Engineer
→ Replit as Developer
→ HubSpot as Sales Manager
→ Beehiiv as Newsletter Manager
→ Taplio and Tweet Hunter as Ghostwriters
→ Gamma and VEED as Presentation and Video Experts

Most people fail with AI because they treat tools like toys.
High performers treat them like roles.

Do’s:
✅ Do assign one clear role per tool
✅ Do give examples and standards upfront
✅ Do review out

Stop using ChatGPT for everything.

The smartest builders use specialised AI tools instead.

Because the right AI tool can save you hours every week.

I’ve noticed something interesting.

Everyone around me kept opening the same tab.

ChatGPT.

For:
Writing.
Research.
Presentations.
Data analysis.
Video ideas.
Coding.

Everything.

But the truth is simple:

ChatGPT is powerful.
But not always the best tool for every task.

The real advantage comes from using specialised AI tools built for specific workflows.

Once I started experimenting with alternatives, 
My productivity accelerated overnight.

Here are some powerful AI tools most people should be using alongside ChatGPT:

Research → SciSpace
Presentations → Gamma
Brainstorming → Claude
Learning → NotebookLM
Data analysis → Rows
Data visualization → Julius
Video generation → Freepik
Image generation → Higgsfield
Marketing copy → Writesonic
Scriptwriting → Sandcastles AI
Content creation → Veed
Development → Replit
Website development → Webflow
Customer support AI → Expertise AI
Deep research → Perplexity Deep Research
Meeting notes → Granola

Each tool is designed for a specific problem.
Which means better outputs and faster workflows.

Instead of forcing one AI to do everything:
✔ Use the best AI for the job
✔ Combine multiple AI tools
✔ Build faster workflows

And the results compound fast.

Do’s:
✔ Use specialized tools for specialized tasks
✔ Combine multiple AI tools in one workflow
✔ Verify important outputs with reliable sources
✔ Use AI to speed up thinking, not replace it
✔ Experiment with different tools regularly

Don’ts:
✖ Do not rely on a single AI tool for every task
✖ Do not skip fact-checking for research outputs
✖ Do not assume AI-generated data is always correct
✖ Do not ignore domain-specific AI tools
✖ Do not replace human judgement with AI

If you like this and want to get free access to our complete ChatGPT at Work bundle guide, get it here: https://lnkd.in/e6yDSf4F 

To see the full breakdown of tools,
Check the infographic below 👇 

And I am curious
Which other AI tool alternative do you think works better than ChatGPT for a specific task?
Drop it in the comments 👇

Stop using ChatGPT for everything.

The smartest builders use specialised AI tools instead.

Because the right AI tool can save you hours every week.

I’ve noticed something interesting.

Everyone around me kept opening the same tab.

ChatGPT.

For:
Writing.
Research.
Presentations.
Data analysis.
Video ideas.
Coding.

Everything.

But the truth is simple:

ChatGPT is powerful.
But not always the best tool for every task.

The real advantage comes from using specialised AI tools built for specific workflows.

Once I started experimenting with alternatives, 
My productivity accelerated overnight.

Here are some powerful AI tools most people should be using alongside ChatGPT:

Research → SciSpace
Presentations → Gamma
Brainstorming → Claude
Learning → NotebookLM
Data analysis → Rows
Data visualization → Julius
Video generation → Freepik
Image generation → Higgsfield
Marketing copy → Writesonic
Scriptwriting → Sandcastles AI
Content creation → Veed
Development → Replit
Website development

Quality of learning always beats quantity of content.

We live in a world where information is infinite.
But attention is not.

For a long time, I thought staying ahead meant consuming more.
More books. 
More newsletters. 
More podcasts. 
More tutorials.

It does not.
It means learning with intention.

Early on, books like Find Your Why shaped how I thought about purpose and direction. 
They gave me language for decisions I could already feel but could not yet explain.

Today, I still return to ideas like that.

Just differently.

I use Shortform.

Not to replace books.
But to understand them better.

Shortform creates book guides that go beyond summaries:

- Deep coverage of core ideas
- Smart analysis and connections across authors
- Interactive exercises that make ideas stick

It feels like your smartest friend walking you through a book.

Three categories I personally spend the most time on:

- Business and entrepreneurship
- Psychology and decision-making
- Communication and negotiation

Here are my favorite books I recommend to learn from:

1. Magic of Thinking Big.
You’ll learn
- Think bigger to unlock higher confidence, ambition, and results.
- Beliefs shape actions, and actions determine success.
- Positive thinking enables better decisions and consistent progress.

2. How to Win Friends and Influence People.
You’ll learn:
- Genuine interest in others builds trust and influence.
- Avoid criticism to maintain strong relationships.
- Make people feel valued to earn cooperation.

3. How to Get Rich
You’ll learn:
- Persistence matters more than talent or luck.
- Wealth comes from execution, not ideas alone.
- Long term success requires resilience and self belief.

The best part is:
On Shortform, I can combine learning from these best books.
To know what I should focus on in the long term.

That is where real leverage comes from.

Shortform also releases new book and article guides every week.
And I get to vote on what gets covered next.

And when I am reading blogs or watching long YouTube videos, 
Their browser extension, Shortform AI, 
Helps me generate high-quality summaries instantly. 
Just in one click.

The result is simple:
- I spend less time skimming.
- More time thinking.
- More time connecting ideas.
- More time building judgement.

Learning compounds when the input is high quality.

If your goal is not just to consume content, 
But to sharpen how you think, 
Shortform is worth exploring.

You do not need more information.
You need better understanding.

Try here: shortform.com/biddlecombe 

Get a free trial and $50 off the annual plan from my link. 

What do you think about learning this new way?
Comment below 👇 

#shortformpartner

Most people think they understand AI.

Until they realise they only recognise buzzwords.

I’ve curated the 40 important AI terms here to fix that gap.

A few months ago, I noticed something strange.

Smart professionals were using AI every day.
But struggling to explain it clearly.

They could say "LLM", "agents", or “hallucinations”.
But not understanding what those actually mean or why they matter.

That is the difference between using AI.
And thinking with AI.

So I broke it down here.

Why this matters more than people realise:
→ Clarity compounds faster than just using AI tools
→ Understanding beats memorising prompts
→ Vocabulary shapes how well you use AI

A few terms most people misuse daily:
• Bias → When training data tilts outputs
• Tokens → How models read and write text
• Inference → Using learned knowledge in real time
• Overfitting → When AI memorizes instead of generalizing
• Hallucinations → Confident answers without factual grounding

Do’s:
✅ Learn concepts before tools
✅ Connect terms to real workflows
✅ Understand limits, not just capabilities
✅ Revisit fundamentals regularly
✅ Explain ideas in your own words

Don’ts:
❎ Chasing tools without understanding basics
❎ Confusing AGI with current LLMs
❎ Ignoring training and data quality
❎ Treating prompts as everything
❎ Assuming AI is always correct

If you want leverage from AI,
You must speak its language first.

To get a quick scan of all 40 AI terms,
Check the infographic below 👇

Learn AI for free: https://lnkd.in/euYZeAdb 

How much time do you invest in learning AI every day?
Comment below 👇

Most people think they understand AI.

Until they realise they only recognise buzzwords.

I’ve curated the 40 important AI terms here to fix that gap.

A few months ago, I noticed something strange.

Smart professionals were using AI every day.
But struggling to explain it clearly.

They could say "LLM", "agents", or “hallucinations”.
But not understanding what those actually mean or why they matter.

That is the difference between using AI.
And thinking with AI.

So I broke it down here.

Why this matters more than people realise:
→ Clarity compounds faster than just using AI tools
→ Understanding beats memorising prompts
→ Vocabulary shapes how well you use AI

A few terms most people misuse daily:
• Bias → When training data tilts outputs
• Tokens → How models read and write text
• Inference → Using learned knowledge in real time
• Overfitting → When AI memorizes instead of generalizing
• Hallucinations → Confident answers without factual grounding

Do’s:
✅ Learn concepts before too

I’ve seen people waste months jumping between random AI hacks.

So I’ve created this one all-in-one AI cheat sheet for you.

To help you master everything important in one go.

Let me be brutally honest.

While you were writing one-line prompts, 
AI pros were using the RTCROS framework to get better results.

While you were guessing prompts, 
They were using chain-of-thought prompting to make AI think step by step.

While you were struggling with manual work, 
They were automating entire workflows with tools you've never even heard of.

Here's what the best AI users know that you don't:

Prompting tips to get 10x better outputs:
→ Zero-Shot gets instant results with no examples
→ Few-Shot guides AI with just 2-3 samples
→ Chain-of-Thought makes AI show its reasoning
→ Persona-Based makes AI adopt expert roles
→ Iterative Refinement keeps making outputs sharper

Tools they're using daily:
✅ Google Nano Banana Pro for stunning visuals in seconds
✅ Cursor for writing code 
✅ Zapier for automating tasks while they sleep
✅ Consensus for research that used to take weeks
✅ Gamma for presentations that look professionally designed

The AI models dominating right now:
→ ChatGPT-5.2 for adaptive multimodal thinking
→ Claude Opus 4.6 for deep reasoning and complex tasks
→ Grok 4.2 for live data and stronger creativity
→ Gemini 3.1 Pro for long-context multi-step workflows
→ Kimi K2 Thinking for hard analytical problems

Some business use cases where AI helps:
→ Digital operations getting fully automated
→ Lead generation running on autopilot
→ Sales cycles being cut in half
→ Marketing campaigns launching without agencies
→ Finance management handled without analysts

The crazy part?
All of this is learnable. 
Right now. 
For free.

The gap between people who invest in learning AI daily and those who don't is growing.

In the next 12 months, 
The professionals who mastered AI prompting, tools, and workflows will be untouchable in their careers.

The ones who didn't will be wondering what happened.
Actually using it every day is where winners are made.

Learn AI for free: https://lnkd.in/euYZeAdb 

How much time per day do you invest in learning AI? 
Be honest, and comment below 👇

I’ve seen people waste months jumping between random AI hacks.

So I’ve created this one all-in-one AI cheat sheet for you.

To help you master everything important in one go.

Let me be brutally honest.

While you were writing one-line prompts, 
AI pros were using the RTCROS framework to get better results.

While you were guessing prompts, 
They were using chain-of-thought prompting to make AI think step by step.


While you were struggling with manual work, 
They were automating entire workflows with tools you've never even heard of.

Here's what the best AI users know that you don't:

Prompting tips to get 10x better outputs:

→ Zero-Shot gets instant results with no examples
→ Few-Shot guides AI with just 2-3 samples
→ Chain-of-Thought makes AI show its reasoning
→ Persona-Based makes AI adopt expert roles
→ Iterative Refinement keeps making outputs sharper

Tools they're using daily:
✅ Google Nano Banana Pro for stunning visuals in seconds
✅ Cursor for writing code 
✅ Zapier for 

Drowning in huge PDFs?

You don’t need more coffee.
You need AI assistance.

Here’s how to use AI for document analysis.

1. Go to ChatGPT
2. Click the ‘+’ icon
3. Add your document
4. Write your prompt
5. Get document analysis done
6. Follow up if you need more insights

Pros:
- Ultra-fast summarisation of long texts.
- Good at extracting key entities, relationships, and topics.
- Can handle multiple formats (text, tables) if converted appropriately.
- Provides a “first-pass” analysis so you don’t start from blank.
- Repeatable and consistent (for the same prompt & input).

Cons:
- May (rarely) hallucinate or invent details that aren’t in the document.
- Doesn’t always catch domain-specific nuance or technical subtleties.
- Performance degrades on very long documents (context window limits).
- No guarantee of source attribution or traceability.
- Biases in training data may skew interpretation.

Do’s
✅ Always give context or purpose before asking for analysis.
✅ Break large docs into smaller chunks for processing.
✅ Ask for both summary and insights/implications.
✅ Request sources or cite-backs for key claims.
✅ Iterate (ask follow-up clarifications) instead of expecting perfection on the first prompt.

Don'ts
❎ Don’t dump an enormous document in one go without context.
❎ Don’t trust the output blindly; always verify critical facts.
❎ Don’t ask vague prompts like “analyse this” without direction.
❎ Don’t ignore structure (tables, figures, sections); treat them explicitly.
❎ Don’t overload with too many goals in one prompt (summary + critique + rewrite + translate all at once).

To get a more detailed explanation,
Check the carousel below 👇 

What do you think of using AI for document analysis?
Comment below 👇 

Learn AI for FREE: https://lnkd.in/eAAacxSK  

♻️ Share this to help your network use AI for document analysis

How To Do Document Analysis For Free With ChatGPT

Helen Yu

CEO @Tigon Advisory Corp. | Host of CXO Spice | Board Director |Top 50 Women in Tech | AI, Cybersecurity, FinTech, Insurance, Industry40, Growth Acceleration

I'm passionate about human-AI amplification rather than replacement.



As the founder & CEO of Tigon Advisory, I help tech companies multiply growth through responsible AI, cybersecurity, IoT, supply chain, and CX strategies. Offering CXO-as-a-service in digital transformation, risk management, GTM, and thought leadership. Clients include NVIDIA, Salesforce, Microsoft, Cisco and innovative startups in Cybersecurity, SaaS, Fintech, etc. Also serve as board director and VC advisor on ethical tech and governance. 



Credentials include cybersecurity certification from MIT Sloan, MBA from Loyola University Chicago, WSJ/Amazon bestselling author ("Ascend Your Start-Up"), keynote speaker, and host of CXO Spice podcast where I explore leadership in emerging tech.



On LinkedIn, my daily posts (300+ in 2025, 136k+ reactions, 38k+ comments) share practical insights on ethical AI scaling, voice agents, bias mitigation, and building trust in human-AI teams.



I'm passionate about mentoring the next generation, especially women and underrepresented leaders in tech.

If you're shaping responsible AI strategies, navigating cyber risks in AI, or debating amplification vs. automation, let's connect. Comment below, share your take, or reach out. Excited to amplify together.



#ResponsibleAI #HumanAI #AIEthics #Cybersecurity #DigitalTransformation

Director Board of Directors

CEC is a security service integrator with focus markets in manufacturing, healthcare, SLED and Corporate Campus.  Customers with complicated organizations and physical plants rely on CEC as extensions of their teams in making strategic investment and management decisions related to their technology and infrastructure. I serve as Culture and Compensation Committee Chair. 

What would the world look like if we truly accelerated action for women?

Right now, full gender parity won't arrive until 2158 according to the World Economic Forum.

That’s 132 years away.

We have the power to move that date forward.

In this special #IWD2026 newsletter edition, I reflect on the progress we’ve made, highlight the women who inspire me, and share actions we can take to accelerate change.

Inside you’ll find:
✅ Highlights from a powerful Women in Technology panel at the Acumatica Summit
✅ Books and podcasts that expand perspective
✅ Simple actions anyone can take to move the needle

Over the past year, I’ve been incredibly fortunate to learn from many inspiring women leaders across technology, financial services, manufacturing and communications.

Now I want to hear from you 👇
Tag one woman who inspired you and tell us why.

Let's amplify women’s voices together. 
Happy International Women’s Day 🌸

#IWD2026 #AccelerateAction #WomenInLeadership #GenderEquity

To stay current with the latest trends in #Technology and #Innovation,
Subscribe to 👉 #CXOSpiceNewsletter here https://lnkd.in/gy2RJ9xg
or 👉 #CXOSpiceYouTube here https://lnkd.in/gnMc-Vpj

Bridging Responsible AI Innovation | Advisor to Tech Leaders | Host, CXO Spice | Human-AI Amplification Advocate

Every March 8th, the world pauses to honor the achievements, resilience, and brilliance of women. But this year’s theme, Accelerate Action, reminds us

Open article: Accelerating Change: Celebrating Women and the Work Still Ahead by Helen Yu • 4 min read

Accelerating Change: Celebrating Women and the Work Still Ahead

What lights you up about the work you do?

For me, it's this.
Fresh off Conga Connect in Orlando and straight into Enterprise Connect in Vegas, I hosted "Hot Takes & Cold Drinks" with two women who are redefining what leadership looks like in communications and technology.
⭐️ Millicent McIntyre, MSOB — 2026 Spotlight Award Winner, Senior Director, Buyer Services IAA
⭐️ Lori Wodrich — 2025 Winner & this year's judge, Senior Systems Engineer Amerisure Insurance

What resonated with me most was HOW they got there.
🔥Millie started in a contact center after cosmetology school.
No title. No roadmap.
She became the person everyone came to through curiosity, consistency, and caring deeply about people.
"Culture is the foundation of everything we do."
She meant every word.

🔥Lori's defining moment was A hackathon.
Surrounded by engineers far more technical than her, she almost changed her answer to fit in.
She didn't.
She held her ground. Shared her reasoning. And the entire panel shifted to her choice.
That's confidence backed by data.

Lori's Three S's I'm taking with me:
✅ Speak Up
✅ Say Yes — to growth, not every task
✅ Share Results

And here is Millie's closing wisdom:
Don't try to be like every other leader.
Be authentically, unapologetically YOU.

These are two women who didn't wait for a title to lead.
They showed up. Over-delivered. Built trust.
And the title eventually followed.

My biggest takeaway: Leadership is earned, not assigned.
Here is my personal hot take:
Sometimes you need to put down your to-do list and focus on your to-be list.
Who do you want to BE? Let that guide everything else.

Thank you, Millie and Lori, for being so open, so real, and so generous with your stories. You reminded all of us of what's possible. 🙌

And a heartfelt thank you to Erica Marois and Cheryl Kahan-Radhuber at Informa and Enterprise Connect for creating this space for women in communications. This is exactly the kind of platform our community needs. 💜

▶️ Watch the full 15-minute conversation below!

#EnterpriseConnect #WomenInTech #Leadership #EC2026 #Communications 

To stay current with the latest trends in #Technology and #Innovation, Subscribe to 👉 #CXOSpiceNewsletter here https://lnkd.in/gy2RJ9xg
or 👉 #CXOSpiceYouTube here https://lnkd.in/gnMc-Vpj

What did I learn from the OECD - OCDE Responsible AI Due Diligence Guidance?

Responsible AI is shifting from principles to accountability; clarifying who is responsible, at what point, and across the value chain.

👉 The real shift is from “Do we use AI responsibly?” to “Can we prove it — continuously?”

AI governance is becoming a core business capability rather than a compliance exercise.

I’ve broken down the insights that stood out to me me most in the carousel including where responsibility escalates, when scrutiny should be deeper, and why disengagement is sometimes the responsible choice.

Let me know what stood out to you 👇

#ResponsibleAI #AIGovernance #RiskManagement #BoardDirectors #CEOs

To stay current with the latest trends in #Technology and #Innovation, Subscribe to 👉 #CXOSpiceNewsletter here https://lnkd.in/gy2RJ9xg 
or 👉 #CXOSpiceYouTube here https://lnkd.in/gnMc-Vpj

CEO of Tigon Advisory Corp. | Host of CXO Spice | Board Director |Top 50 Women in Tech | AI, Cybersecurity, FinTech, Insurance, Industry40, Growth Acceleration

5 Key Learnings from OECD Responsible AI Due Diligence

Are you modernizing your systems fast and wondering if you’re doing it securely?

In this short CXO Spice trailer, John Picinich and I touch on the real tension leaders are facing right now; moving quickly to innovate while making sure security, risk, and trust don’t fall behind. It’s a conversation about what works in the real world.

This builds on the themes from the #CXOSpice newsletter I shared three weeks ago on breaking down data silos in financial services, where we explored why governance, secure data movement, and a strong foundation are essential before layering on automation and AI.

I had the chance to host John Picinich at Progress Software to unpack:
✅ Where most organizations misjudge modernization risk
✅ How security teams can become enablers, not blockers
✅ What “secure by design” looks like in practice

🎥 Watch the full episode here: https://lnkd.in/gPq8B8Tg

And stay tuned. I’ll be hosting Progress Software’ Chief AI Officer Ed Keisling on agent orchestration soon.

#FinancialServices #AI #Agents

To stay current with the latest trends in #Technology and #Innovation, Subscribe to 👉 #CXOSpiceNewsletter here https://lnkd.in/gy2RJ9xg 
or 👉 #CXOSpiceYouTube here https://lnkd.in/gnMc-Vpj

What the #WomenInTech stage taught me at Acumatica Summit?

Have you ever walked into a room and felt momentum happening in real time?
Speaking at Acumatica Summit this year was one of those moments.

I left thinking less about the stage and more about the people. Leaders choosing courage over comfort. Learning out loud. Lifting each other higher.

A few lessons that stayed with me
✨ Confidence starts with the story we tell ourselves
✨ Preparation creates clarity when pressure rises
✨ Leadership means sending the ladder down

I shared a few deeper reflections in my latest newsletter. Check out the full story: https://lnkd.in/e2Ad_BXf

What is one lesson that has changed how you show up this year?

#WomenInTech #Leadership #Technology #Innovation

To stay current with the latest trends in #Technology and #Innovation, Subscribe to 👉 #CXOSpiceNewsletter here https://lnkd.in/gy2RJ9xg 
or 👉 #CXOSpiceYouTube here https://lnkd.in/gnMc-Vpj

A FIRST TIMER’S PERSPECTIVE I didn’t know what to expect walking into my first Acumatica Summit. I knew the event was significant, and I felt honored 

Open article: What the Women in Tech Stage at Acumatica Summit Taught Me? by Helen Yu • 7 min read

What the Women in Tech Stage at Acumatica Summit Taught Me?

What does success look like twelve months in if you go all in on a frictionless Commerce Chain?

I asked Lisa Martin, CRO of Conga during our interview at Conga Connect.
Her answer was precise.

Deal velocity accelerates. Deal volume grows. Revenue leakage stops hiding in quarterly post-mortems.

Most organizations look at discounting retrospectively. A scattergram tells you where you bled. Commerce Chain stops the bleeding.

A connected Commerce Chain changes the equation. You see where margin is slipping in the moment. You catch at-risk customers before renewal. You act on upsell signals the data was always telling you.

And when agentic AI matures inside that chain, it executes the insight.
Faster deals. Protected margin. Smarter renewals.

👉 Read the full story in CXO Spice Newsletter 
👉 Watch the conversation: https://lnkd.in/gpdCFhkS

#CommerceChain #CRO #CongaConnect #CongaPartner

To stay current with the latest trends in #Technology and #Innovation, Subscribe to 👉 #CXOSpiceNewsletter here https://lnkd.in/gy2RJ9xg
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“It’s not growth at all costs anymore. It’s growth, but profitable growth , and the thing getting inspected is how easy we are to do business with.” —

Open article: Commerce Chain Is the Revenue Operating System Your Business Has Been Missing by Helen Yu • 5 min read

Commerce Chain Is the Revenue Operating System Your Business Has Been Missing

What does every business leader need to understand about the agentic era?

Here are 5 things I took away from Jensen Huang’s keynote at NVIDIA GTC:

1️⃣ Tokens are the new oil
Jensen redefined what a data center is.
Data centers are no longer places where we store files.
They are factories producing tokens.
Power goes in.
Data goes in.
Intelligence comes out.
Every watt of power you have is either generating revenue or wasting it.
The next metric CEOs may start tracking alongside EBITDA: tokens per watt.

2️⃣ The inference inflection
For years AI was a training story about who had the biggest models and the most parameters.
That era is over.
AI now must think, reason, and act in real time.
That requires inference at massive scale.
Compute demand has grown roughly 1,000,000× in two years.
That’s not hype.
That’s infrastructure reality.

3️⃣ Every SaaS company will become an AaaS company
Just as every company eventually needed:
• an HTTP strategy
• a cloud strategy
• a Kubernetes strategy
Every company now needs an agent strategy.
The question is no longer if.
It’s how fast.

4️⃣ The security model just changed
Agentic systems can:
• access sensitive data
• execute code
• communicate externally
Jensen said that out loud. Slowly.
Let that sink in.
The opportunity is enormous.
So is the risk.
In the agentic era, security and governance are the foundation.
The companies that get this right will win.

5️⃣ Synthetic data will unlock robotics
Real-world data will never be sufficient to train robots for every scenario.
Simulation closes the gap.
Synthetic data allows robots to learn faster than the real world can generate experience.
The GPT moment for autonomous systems may already be happening.
BYD, Hyundai, Nissan, and Geely just joined the platform, representing 18M vehicles per year.

The closing scene of the keynote said everything.
Robots and humans sitting around a campfire in a forest.
Playing music together.
The caption:
“The future’s here. Won’t you come and see.”
Not a warning.
An invitation.

Two stops worth making on the show floor today:
✅ Cisco Booth #1421 - The agentic era needs a secure foundation. I’ll be interviewing Kevin Wollenweber, SVP & GM of Data Center at Cisco, on what Secure AI Factory means at enterprise scale.
✅ Elastic Booth #3200 - Jensen said 90% of the world’s data is unstructured and largely inaccessible. Elastic is building the retrieval layer to unlock it. Don’t miss their sessions on eliminating the data bottleneck and how NVIDIA itself is using it.

The token factory is only as powerful as its security, networking, and data retrieval layers.

That’s the story continuing on the show floor.

#NVIDIAGTC #NVIDIAPartner #CiscoPartner

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What Boards and Security Leaders Must Know about AI-Driven Threats?

Last week, I hosted Mike Riemer, Field CISO at Ivanti on a webinar secure by design: prevent weaponized AI attacks with Kernel security strategies.

Mike put the stakes in sharp focus from the start:

Threat actors can reverse engineer a patch and weaponize it within 72 hours.
In some cases, attacks begin within 90 seconds of code being published.

Let that sink in.

This is not a technology problem you can delegate to your CISO.
It is a governance issue, and boards have a fiduciary duty to act.

In my latest newsletter, I cover:

✅ Why traditional perimeter defenses are failing
✅ What Secure by Design means  and how to hold vendors accountable
✅ Why kernel-level security is the new line of defense
✅ The questions every board and audit committee must be asking now

Knowledge without action leaves your organization exposed.

As AI-driven threats accelerate, kernel-level security has become the new line of defense.

Are you ready for it?

Watch the full conversation with Mike here:
https://lnkd.in/gP4hnwGT

Join us for the upcoming #LinkedInLive where we'll be continuing this critical conversation. Register here: https://lnkd.in/gF8YcTqf

#CyberSecurity #BoardGovernance #KernelSecurity #AIThreats #CISO #RiskManagement #IvantiPartner

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“Threat actors can reverse engineer a patch and weaponize it within 72 hours — and we’ve seen attacks begin within 90 seconds of vulnerable code being

Open article: What Boards and Security Leaders Must Know About AI-Driven Threats and Kernel-Level Defense by Helen Yu • 6 min read

What Boards and Security Leaders Must Know About AI-Driven Threats and Kernel-Level Defense

Why are companies still using 8 platforms to move money?

I just saw a CFO’s finance stack:
Stripe. Wise. Ramp. Mercury. Chargebee.
Plus 3 international bank accounts.
Eight logins. Eight reconciliations.
And they’re still losing 4–6% on every international transaction.

Here’s the hidden tax 👇
You get paid €100K → converted to USD (≈3% gone)
You pay a European supplier → USD back to EUR (≈3% gone)
That’s 6% lost moving the same money in a circle.
On a $10M business? $600K/year.

This is why Airwallex exists.
One platform to:
✅ Accept global payments
✅ Hold 20+ currencies (no forced FX)
✅ Pay suppliers same-day
✅ Issue cards globally (zero FX fees)
✅ Open accounts in minutes
One integration. One dashboard.
Companies doing $10M+ internationally save $400K–$600K/year just by consolidating.

Airwallex just opened their second HQ in San Francisco. They're bringing global-first infrastructure to companies tired of fragmented stacks and hidden fees.

So Why are you still using 8 platforms to move money?

#AirwallexPartner #CFOs

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How do you prepare for the next frontier of transformation?

AI is reshaping how we build, decide, and serve customers; and getting ready means learning, experimenting, and connecting with others who are doing the same.

You’ll find a mix of business leaders and builders at the #MicrosoftAITour. 
People like me, are focused on turning AI ideas into real impact. What I love about this experience is how hands-on it is. You not only hear about the technology, but also get to explore it, build with it, and learn directly from Microsoft engineers and the community. From secure apps to agents and solutions using tools like Foundry and Copilot, you walk away inspired and ready to apply what you’ve learned.

This 20-second clip is a throwback to my favorite moments from the Chicago tour last September 🎥

I’m excited for the upcoming U.S. stops:
📍 Washington, DC on March 10 - Register here 👉 hhttps://lnkd.in/ebyjqCQb
📍 Atlanta on April 29 (I will be there in person)- Register here 👉 https://lnkd.in/ey83fdKc
📍 Houston on May 28 - Register here 👉 https://lnkd.in/eKVZVvE9

If you’re looking to prepare your organization for this frontier transformation, join a tour near you and start turning possibilities into action.

#MicrosoftAITour #FrontierTransformation #AILeadership #MicrosoftAmbassador Microsoft in Business

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When was the last time a support call made you feel heard?

After 2.3 million miles in the air and more support calls than I can count, I've come to believe we've been measuring customer experience all wrong.
We track resolution time. Handle time. CSAT scores. But nobody measures how it felt to be spoken to.

I've been hung up on agents who said all the right things and still left me feeling dismissed. And I've had problems go unresolved by agents who somehow made me feel taken care of anyway. The difference was never the script. It was tone. Pacing. The small human signals that say I hear you before a single solution is offered.

As executives, we've optimized everything we can see on a dashboard. But the felt experience of a conversation, that's been the blind spot.

That's what made me pay attention when I came across ElevenLabs' emotional voice agent. Because it points at something I've believed for years: conversational quality is product quality. And we're finally at the point where AI can deliver it at scale.

The leaders who get ahead of this won't just have faster support. They'll have support that people remember for the right reasons.

See it in action: https://lnkd.in/eDtV-aGs

#VoiceAgent #ConversationalAI #CX #CustomerOperations #ElevenLabsPartner

To stay current with the latest trends in #Technology and #Innovation, Subscribe to 👉 #CXOSpiceNewsletter here https://lnkd.in/gy2RJ9xg 
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How many of your #security alerts matter?

Last quarter, my team reviewed 14,000 alerts. Only eleven led to investigation.
That's not a security program. That's noise with a compliance checkbox on it.

As a Board Director, the question I keep bringing back to leadership is simple: would we catch it before it happens?

Most organizations can't answer that with confidence. Not because they lack tools. But because they're measuring the wrong things. Volume of alerts. Hours logged. Endpoints covered. 

None of it tells you what the board needs to know: where is the human risk, and is it escalating?

The shift I've been advocating for is moving from reactive reporting to predictive intelligence. Not just flagging what already happened, but understanding behavioral patterns early enough to intervene before damage is done.

When I look at what predictive risk scoring is doing now, platforms like Teramind being able to detect behavioral shifts weeks before an incident occurs, that's the kind of intelligence that belongs in a board briefing.

Rule-based systems catch what you anticipated. Behavioral AI catches what you didn't. In insider risk, what you didn't anticipate is almost always what gets you.

Stop counting alerts. Start asking: what does this pattern mean?

#PredictiveIntelligence #Workforce #AIGovernance #TeramindPartner

To stay current with the latest trends in #Technology and #Innovation, Subscribe to 👉 #CXOSpiceNewsletter here https://lnkd.in/gy2RJ9xg 
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What happens when AI stops living in the cloud and starts living in the world?

That's the question at the center of NVIDIA GTC.  That’s the premier global AI conference where developers, researchers, and business leaders come together to explore the next wave of AI innovation.

From physical AI and AI factories to agentic AI and inference, this is where the breakthroughs shaping every industry get unveiled. With 500+ sessions, labs, and workshops, there's no better place to go deep on real-world AI use cases and connect with the people building the future.

Last year's GTC drew 27K in-person attendees and 40M+ keynote views. I can't wait to see what 2026 has in store.

Register now and explore the session catalog: https://nvda.ws/4kfWXS8

#GTC25 #NVIDIAPartner #AI #PhysicalAI #GenerativeAI

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What does a connected, intelligent Commerce Chain look like in action?

At Conga’s 5th Annual Inspire Awards, we celebrated real, measurable business impact with CRO Lisa Martin.

When pricing, quoting, contracting, and revenue operate as one connected system, companies move faster, price smarter, and scale growth.

Here’s what that looked like this year:
✅ Commercial Excellence — IBM
Unified quoting and renewals for 3,000+ sellers and partners worldwide, accelerating deal cycles while improving seller productivity and global customer experience.
 
✅ Future of Commerce — Electronics Digikey
2× market outperformance in 2025 by unifying e-commerce with customer-specific pricing through neural networks and real-time pricing execution.
 
✅ Momentum Leader — Pediatrics Plus
Automated ~50% of monthly billing and reduced DSO from 84 → 54 days.
 
✅ Buyer Experience — Jack Henry 
Eliminated manual pricing errors, unified siloed sales processes, and accelerated time-to-revenue for financial institutions nationwide.
 
✅ Judges’ Choice — Southwest Airlines
Reduced contract creation time to just 5 minutes, delivering enterprise-grade governance with startup speed.
 
✅ Community Champion — Natalie Myers
Amplified peer voices and strengthened knowledge sharing across the entire Conga community.

A connected Commerce Chain unlocks measurable revenue performance across the entire lifecycle.

Stay tuned for my conversation with Conga CRO Lisa Martin with a deeper dive into what the Commerce Chain means for the future of revenue leadership.

#CongaConnect #InspireAwards #CommerceChain #CustomerSuccess #CongaPartner

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What does it take to turn B2B influencer content into qualified pipeline?

I recently had a great conversation with Heather Barnett about this challenge and it’s clear this topic is rising on many B2B leaders’ agendas.

There’s a smarter way to approach it.

The Insight Collective and Custom Influence have put together an ebook that breaks it all down, featuring insights from leading B2B voices.

If you’re focused on making influencer marketing deliver measurable impact, this is worth your time.

https://lnkd.in/epkRekqz

#B2B #Influencer #Marketing 

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When was the last time an AI investment delivered what it promised?

I've sat in enough boardrooms to know that question lands differently depending on who's in the room.

For most enterprises, the pattern is the same; a promising pilot, a growing consulting retainer, and a strategy deck that never quite becomes a production system.

That's the cycle Klika Tech built VELOCITY™ to break.

It's a 16-month, fixed-price program that takes organizations from AI uncertainty to a fully operational, self-sustaining AI capability. One contract. Five structured phases. And your team owns everything they build including the models, the infrastructure and the IP.

Team don't get paid for hours. They get paid for outcomes.

ROI validation begins at Month 8 so you get proof mid-journey
If AI is on your roadmap this year, reach out to see what it looks like in practice.

Drop a “Yes” comment if you want to learn more. 👇

#AI #EnterpriseAI #KlikaTech #VELOCITY #DigitalTransformation

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Ready to launch your #career in #AI in 2026? 

LinkedIn just released its Skills on the Rise 2026 list and the signal is clear: AI is reshaping every role, not just technical ones. 

Here are the fastest-growing skills: Prompt Engineering, RAG, LangChain, Vector Databases, and Model Fine-Tuning along people skills like Stakeholder Management and Leadership Communication. Employers want professionals who can build and lead with AI.

Meanwhile, the U.S. Bureau of Labor Statistics projects 20% growth in computer and information research roles between 2024 and 2034. The opportunity is real.

I've consolidated what I learned from Coursera and U.S. Bureau of Labor and put together a table of 9 high-demand AI roles with required skills, salary ranges, and core responsibilities to help you find your best fit.

Which role excites you most? Drop it in the comments 👇

#SkillsOnTheRise #FutureOfWork #ArtificialIntelligence #TechCareers
#AI #Jobs #MachineLearning #DataScience #WomenInTech

To stay current with the latest trends in #Technology and #Innovation, Subscribe to 👉#CXOSpiceNewsletter here https://lnkd.in/gy2RJ9xg 
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9 AI Jobs to Consider in 2026

What are the two things that define a world-class data center?

Here's what I learned from Equinix team at last year's NVIDIA GTC 
(watch the 1-minute clip below)
→ Environment - power, space, and cooling
→ Interconnectivity - dense access to public clouds and GPU-as-a-service

Equinix operates 280 data centers across 77 global markets. The London facility Aaron showcased was built with his in mind: 170,000 sq ft, 100% renewable energy, 99.999% availability, and 200+ cloud interconnection points all water-cooled.

Equinix also announced they'll be the first to offer the NVIDIA Instant AI Factory; fully provisioned AI infrastructure powered by DGX GB300 and B300 systems, across 45 global markets.

This year, I'm going deeper on the #sustainability side of all of this.
I look forward to speaking with Christopher Wellise, Global VP of Sustainability at Equinix to talk about what it takes to build and operate AI infrastructure responsibly; from closing the gap between pledges and results, to whether the industry is measuring the right things.

Tune in to our upcoming CXO Spice from #NVIDAGTC. What would YOU ask Chris? Drop it below 👇

To stay current with the latest trends in #Technology and #Innovation,
Subscribe to 👉 #CXOSpiceNewsletter here https://lnkd.in/gy2RJ9xg
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Where are the real conversations about the future of revenue lifecycle happening right now?

At Conga Connect.

Just arrived at the venue and the energy is already building. This quick clip gives a glimpse of the space and a great catch-up with Amy Williams from the Conga team as things get underway.

Looking ahead to a packed agenda for Day 1:
✅ The future of commerce keynote from David Osborne CEO of Conga
✅ Accelerating Innovation across the commerce chain from Rohit Chhabra, CPO
✅ My 1:1 with Lisa Martin, CRO, diving into Commerce Chain
✅ Tonight’s customer panel and awards
✅ And wrapping the evening with the VIP dinner with Conga executives, select customers and fellow analysts Shelly DeMotte Kramer, Roy Atkinson, Eric Kavanagh.

Events like this are where product vision, customer experience, and strategy come together. I’m interested in hearing how organizations are approaching revenue lifecycle transformation and connected commerce.

Let's connect if you're here at Conga Connect. Or follow #CXOSpice to get the latest updates.

#CongaConnect #RevenueLifecycle #CPQ #CommerceChain #Analysts #CongaPartner

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What does responsible AI governance look like when the infrastructure at stake is an entire city?

It's a question that I'm proud to have helped answer along with an exceptional group of experts in collaboration with AI & Partners.

In this whitepaper, Digital Public Services: Governance Challenges in AI-Enabled Smart Cities, we explore how we can build trustworthy, interoperable urban infrastructure as AI becomes central to transport, energy, health, and public administration.

Key takeaways:
✅ Interconnected systems create cascading risks - resilience must be built in by design
✅ Interoperability and open standards are governance tools rather than just technical ones
✅ Privacy-by-design is essential as sensor networks and data fusion expand across cities
✅ The EU AI Act creates real obligations for municipalities deploying high-risk AI

Thank you to my fellow contributors for making this such a rigorous and timely piece of work:
Sean Musch, Michael Charles Borrelli, Dr. Don Liyanage, Dr. Benedikt Kohn, Harvey Castro, Lisa Ventura MBE FCIIS MBCS, Mariia Shcherbakova, Patrick Orsos, Shreyas Karanjkar, Edward Cole, Mitko Karushkov, Vibhav Mithal, FHCA, Mateo Jarrin Cuvi, Michael Boevink, Ina Schöne, Richard Chiumento, and Carolyn Harrison.

If you work in urban policy, AI regulation, or digital public services, this one is for you. 

#SmartCities #AIGovernance #EUAIAct #DigitalTransformation #AI

To stay current with the latest trends in #Technology and #Innovation,
Subscribe to 👉 #CXOSpiceNewsletter here https://lnkd.in/gy2RJ9xg
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