SELF EMPLOYEED

Coach

US Navy

Special Operations Medic

I help high-achieving professionals achieve peak performance in high-stress situations without falling victim to stress and burnout. From college dropout to Special Operations team, I share my lessons learned.

Hey, I'm Joel.

TLDR people

I spent 12 years on a Marine Special Operations team. I have dedicated my life to mastering the art of discipline, mental toughness, and resilience. I help clients to harness their inner warrior to conquer life's challenges and emerge stronger. 

The long story. 

I spent the first 22 years of my life lost. Dropped out of college, and worked dead-end jobs. No direction in life. Through finding discipline and mental toughness I was able to enlist in the military and build a career in Special Operations.

Mental toughness and discipline have allowed me to do things I never thought possible: 

- 50-mile runs
- 10 mile swims
- 20 Mile ruck runs

Plus much more.

Most people go through life never realizing what they are capable of. 

Come learn with me. 

You can find me on X here : https://twitter.com/TheSuccessCycle

Joel Blades

Helen Yu

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

As the founder and CEO of Tigon Advisory, I help tech companies of all sizes multiply their growth opportunities by leveraging AI, cybersecurity, IoT, supply chain, and customer experience. With over a decade of technology industry experience, I offer CXO-as-a-service and guidance to organizations through digital transformation, strategic planning, enterprise risk management, go-to-market optimization, and influencer marketing.

I have worked with enterprise clients such as SAP, IBM, Salesforce and Microsoft, as well as B2B SaaS, Fintech, Insuretech, and Martech startups. I also serve as an independent board director and a venture capital advisor, where I bring a unique perspective on technology thought leadership, cybersecurity risk management, go-to-market strategy, and customer experience. I am a certified cybersecurity expert from MIT Sloan School of Management, an MBA from Loyola University of Chicago, and a respected industry thought leader, a Wall Street Journal best selling author, a keynote speaker, and a host of CXO Spice podcast. I am passionate about empowering and mentoring the next generation of technology leaders, especially women and minorities.

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 happens when a founder’s first job shapes a billion-dollar comeback story?

That question has been on my mind as I’ve watched Mukund Jha’s journey unfold.

Back in 2005, he told a friend he wanted to work at Google.
By 2009, he was there.
And that early training ground left a specific imprint; an instinct to build from first principles, an obsession with stability, and a refusal to take shortcuts even when the entire market is sprinting.

You can see that philosophy running straight through Emergent.
And today, it came full circle: Google’s AI Futures Fund invested in Emergent.

Foundations set the direction; results reveal the discipline.
Here’s what that discipline looks like in practice:
✅ 2.5M+ builders in just 5 months
✅ One of the fastest runs to $25M ARR in the AI platform space
✅ 3M+ production-ready apps shipped
✅ Native backend infrastructure with zero third-party dependencies
✅ Users migrating from competitors citing “unmatched stability”

If you’re curious to explore what he’s built, here’s a link with 20% off:
emergent.sh/?via=gff20 (code: GFF20)

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What happens when the world's leading GPU innovator and cloud computing giant double down on their 15-year partnership?

I found out at Amazon Web Services (AWS) re:Invent, where I sat down with Dave Salvator, Director of Accelerated Computing Products at NVIDIA.

His answer? "We never take our foot off the gas."

Here's what that relentless pace of innovation looks like:
✅ Full Blackwell lineup now available on AWS (GB200, GB300, MGX Pro 6000)
✅ NVLink Fusion integrating with AWS Trainium4; opening NVIDIA's proven, 7x faster fabric technology to custom silicon
✅ AI Factories expanding on-premises deployment options for enterprises
✅ Confidential computing in Blackwell for secure AI workloads in regulated industries
✅ Nemotron models live on Amazon Bedrock

Dave shared something that resonated with me: while hardware advances get the headlines, algorithmic innovation is the next frontier. NVIDIA's Project DIGITS is focused on delivering 40-50% performance gains through smarter algorithms instead of more compute.

The takeaway? This partnership isn't slowing down. With yearly platform roadmaps and Rubin already on the horizon, 2025 is shaping up to be transformative for AI infrastructure.

Watch my full interview with Dave: https://lnkd.in/gAEEFFfC

#NVIDIAPartner #AWS #reInvent2025 #AcceleratedComputing #EnterpriseAI 

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"We never take our foot off the gas. Both companies are very biased towards action. We like to move quickly." — Dave Salvator, Director of Accelerated

Open article: Accelerating AI Innovation: Inside the NVIDIA-AWS Partnership at re:Invent 2025 by Helen Yu • 4 min read

Accelerating AI Innovation: Inside the NVIDIA-AWS Partnership at re:Invent 2025

What’s Driving AI from the Lab to the Real World?

Bridging the gap between experimental AI models and industry-scale applications became the theme of my time exploring NVIDIA’s presence at Amazon Web Services (AWS) re:Invent; from a VC Startup breakfast at Osteria di Brera to hands-on demos across the Expo floor.

NVIDIA unveiled several breakthrough technologies this week:
✅ NVIDIA DRIVE Alpamayo-R1: The world's first open, industry-scale reasoning vision-language-action model for autonomous mobility
✅ Mistral Large 3: Now 10x faster on NVIDIA infrastructure
✅ Nemotron models on Amazon Bedrock: Bringing specialized agentic AI for text, code, images, and video directly to AWS customers
✅ Cosmos Cookbook: Practical resources for scaling physical AI development

The convergence of cloud infrastructure and AI is accelerating. NVIDIA's focus on open models, optimized performance, and accessible tools is democratizing AI development, making sophisticated applications available to startups and enterprises.

My conversation with Dave Salvator, Director of Accelerated Computing Products, reinforced how NVIDIA is addressing the entire AI lifecycle, from data generation to deployment.

We're witnessing a pivotal moment where physical AI, reasoning models, and open-source approaches are creating possibilities that seemed impossible just years ago.

I am thrilled about the opportunity to interview two startups founders from the NVIDIA Inception program: Diligent Robotics and Distributional, where we'll explore how they're leveraging these technologies to solve real-world challenges.

#Startup #Inception #AWSreInvent #NVIDIAPartner

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Are your AI agents still stuck in slideware or earning trust in production?

At Amazon Web Services (AWS) re:Invent, I spoke with Scott Clark, CEO of Distributional and an NVIDIA Inception startup, about “agent analytics”; the third pillar of enterprise AI: build the models, run them, and truly understand them.

In this special CXO Spice edition, we explored:
✅ Distributional’s origin story
✅ A customer’s “firehose” moment from POC to production
✅ How NVIDIA Inception and the NeMo Agent Toolkit close the confidence gap for AI agents in regulated industries

If you’re building or deploying AI agents, it’s time to move beyond demos and gain real-world confidence. 

Learn more about what NVIDIA Inception can unlock for your next growth stage: https://nvda.ws/48xgtEh

Watch our conversation here: https://lnkd.in/gz-edhPv

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At Amazon Web Services (AWS) re:Invent, I spoke with Scott Clark, founder and CEO of Distributional and a featured NVIDIA Inception startup, to talk a

Open article: Agent Analytics: The Third Pillar of Enterprise AI by Helen Yu • 3 min read

Agent Analytics: The Third Pillar of Enterprise AI

Are you automating the insanity or transforming your business?

That's the question Chris Hallenbeck, SVP & GM of AI & Platform at Boomi, posed in our latest CXO Spice conversation. And it cuts to the heart of the challenge.

Here's what most leaders miss: Agentic transformation isn't about making old processes faster. It's about fundamentally rethinking how work gets done.

The difference between chatbots and AI agents? Context, connectivity, and control.

Chris shared a powerful example from Serco, a company serving governments worldwide. They transformed how they handle employee certifications, moving from annual checks to something far more sophisticated. It resulted in reduced costs, lower risk, and increased operational impact. 

Here's the reality check that every executive needs to hear:
"AI is actually easy. I can build an agent that is extraordinarily powerful in under five minutes. Connectivity is really hard. Connectivity with quality data is the hardest."

So what separates successful agentic transformation from expensive pilots that never reach production?  The companies that understand this distinction and build the right foundations now will gain substantial competitive advantages.

The CXO Spice Newsletter breaks down the complete framework with detailed examples and the path forward for enterprise leaders.

Watch CXO Spice conversation with Chris Hallenbeck: https://lnkd.in/gWy4XZ_g

Are you ready for agentic transformation? Drop your thoughts in the comments.

#AgenticAI #AgenticTransformation #IPaaS #BoomiAmbassador

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"We're not trying to do the old thing faster. We're saying it can actually be done better with higher impact and lower risk." This powerful statement 

Open article: From Digital to Agentic: The Next Evolution in Business Transformation by Helen Yu • 5 min read

From Digital to Agentic: The Next Evolution in Business Transformation

Who are the AI thought leaders shaping how technology meets business and society?

I’m grateful to Thinkers360 for creating a vibrant community of thought leaders, analysts, and influencers, connecting brilliant minds and enabling real impact worldwide.

These thought leaders provide insights across AI, Generative AI, Agentic AI, AI governance, quantum computing, digital transformation, and sustainability. They help us navigate the fast-moving world of technology and business innovation.

Follow these leaders to stay inspired and ahead in AI, Generative AI, Agentic AI, AI governance, and digital transformation: M. Nazri Muhd Ronald van Loon Bill Wong Dinis Guarda Andreas Welsch Kathleen Walch Noelle R. David Sweenor Mark Lynd Amenallah Reghimi Kashyap Michael Fauscette (GK) Ganes Kesari Prof. Marek Kowalkiewicz Tom Davenport Dr. Sunil Kumar Vuppala Greg Verdino FAISAL HOQUE Jair Ribeiro Usman Mustafa Pradeepta Mishra Helen Yu Tim Cortinovis Dr Djamila Amimer Seth Earley Pascal BORNET Nicolas Babin

Full list here: https://lnkd.in/gzDMfnMB

#AIThoughtLeadership #ArtificialIntelligence #GenerativeAI #AgenticAI #Innovation #DigitalTransformation #Governance #Quantum #Sustainability

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What will separate AI leaders from AI laggards in 2026?

Pleased to contribute to the 2026 DATAcated Trends & Predictions Report, and the insights from 14 data and AI leaders point to a transformative year ahead.

My prediction? AI agents evolve from tools to true workplace teammates.

In 2025, we saw AI become multimodal - processing text, images, and voice simultaneously. Agentic AI systems began handling complex multi-step tasks autonomously, with reasoning models showing dramatic problem-solving improvements.

Here's what I see for 2026:
✅ AI agents as colleagues - Independently managing projects and workflows end-to-end
✅ Real-time data processing becomes critical - AI systems require continuous learning from live streams
✅ Synthetic data generation explodes - Addressing data scarcity for specialized training
✅ Federated learning scales - Training across distributed datasets without compromising privacy
✅ Data governance intensifies - Lineage tracking under regulatory pressure
Organizations treating data as dynamic fuel will be the ones that thrive.

Special thanks to Kate Strachnyi and DATAcated for assembling perspectives from Cassie Kozyrkov, Marinela Profi, Bernard Marr, Lara Sophie Bothur, Stijn (Stan) Christiaens, Christina Stathopoulos, MSc, Serena H. Huang, Ph.D., Helen Yu, Pascal BORNET, Jess Ramos ⚡️, Kristen Kehrer, Andreas Kretz, Sadie St Lawrence.

👉 Download the full report FREE: https://lnkd.in/eMevgwDH

What are you most excited about for AI in 2026?

#AITrends2026 #CIO #CTO #CEO #BoardDirectors #Data #AI

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2026 AI Trends & Predictions

How prepared is your organization to bounce back when an AI-driven disruption hits?

That’s the focus of my latest CEO newsletter, following Commvault Shift Virtual, where I outlined why AI resilience is becoming a top priority for executive teams and boards.

AI is accelerating decision-making, increasing identity complexity, and tightening the margin for recovery. Resilience is a strategic imperative.

In the newsletter, I break down the shift toward Commvault Cloud Unity and Resilience Operations (ResOps), and why unifying security, identity, and recovery is essential for organizations building on AI.

👉 Read the full newsletter for the board-level perspective and what this means for the years ahead. Watch the replay here: https://lnkd.in/gN6WmZ9C

What’s the biggest AI-resilience concern on your radar right now?

#CommvaultSHIFT #CyberResilience #CISO #CIO #CTO #CEO #BoardDirectors

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A Message from Sanjay Mirchandani, CEO, Commvault “The question we’re addressing today is simple: how fast can you recover in a world where breaches a

Open article: Commvault Shift Virtual: The Dawn of AI Resilience by Helen Yu • 4 min read

Commvault Shift Virtual: The Dawn of AI Resilience

What's it like watching the Las Vegas Grand Prix qualifications from the T-Mobile Magenta tower?

Unforgettable.

Huge thanks to T-Mobile for hosting such an incredible experience—the views from the Sphere Magenta Club were unmatched, and the magenta glow fit right in with The Sphere's spectacular light show. Started the evening with my first-ever aura reading, then tried on a racing suit and helmet. My AI-generated racing persona? Nano Banana 🍌.

Finished the night watching qualifications light up The Sphere while hanging out with a creative bunch—turning online connections into real ones, surrounded by the T-Mobile team and fellow F1 fans.

Sometimes the best experiences come from saying yes to the unexpected. 🏎️

#LasVegasGP #F1 T-Mobile For Business #SphereMagenta 

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What’s the biggest barrier keeping AI from doing real work in the enterprise?

That’s the question I explored with Rohan Vora, Product Lead at Glean, in the latest CXO Spice Spotlight. His answer reframed the conversation around autonomous agents.

We covered:
✅ Why autonomy requires more than just great models
✅ How enterprise context unlocks real outcomes
✅ What it takes to orchestrate work across complex systems
✅ How AI is moving from “helping with tasks” to owning outcomes

If you’re thinking about the future of AI-powered work, this conversation is a must-watch  

👉 Watch the full episode here and see how Glean is shaping the next era of enterprise autonomy: https://lnkd.in/gp2VrFEP

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In a recent episode of CXO Spice, I had the opportunity to speak with Rohan Vora, Product Lead at Glean, about one of the most important shifts unfold

Open article: The Future of Autonomous Enterprise Agents with Glean  by Helen Yu • 4 min read

The Future of Autonomous Enterprise Agents with Glean

Is your #SupplyChain ready for the next disruption?

Today it's tariffs. Next year? Something else entirely. Disruption is inevitable; resiliency is a choice.

I had an eye-opening conversation with Richard Howells, SAP's VP of Solution Management for ERP, Finance and Digital Supply Chain. 

Here are a few key takeaways:
✅ Start with the business problem, not the technology. AI is only as good as the data powering it.
✅ Sustainability and profitability aren't mutually exclusive—one company managing 820,000 truckloads proved both are possible.
✅ 30% of our workforce is 55+. We need to capture institutional knowledge NOW before it retires.
✅ Cloud-first infrastructure is no longer optional if you want to keep pace with change.

"AI can't be a side project. It has to be embedded into your business processes." Richard Howells

Watch our full conversation on YouTube for real-world examples of AI transformation, practical strategies for building resiliency, and how to pivot fast in today's volatile environment. https://lnkd.in/gY7Aiz5r

What's your biggest supply chain challenge right now?

#SupplyChain #AI #DigitalTransformation #Sustainability #Leadership

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I recently had the opportunity to speak with Richard Howells, SAP's VP of Solution Management for ERP, Finance and Digital Supply Chain. Richard bring

Open article: Supply Chain Resiliency: Navigating Uncertainty with AI and Data by Helen Yu • 5 min read

Supply Chain Resiliency: Navigating Uncertainty with AI and Data

How much did YOUR bank take from you last time you exchanged currencies?

Last week, I went to my bank to exchange USD to euros for a trip. They charged me a $36 fee on a $500 exchange. That's over 7% gone.

And I'm not alone. 

Here's the issue most people don't see: banks are quietly taking cuts on every international transaction.

You earn money in USD → Your bank converts it (taking 2-3%) → You pay a supplier → Their bank converts it again (another 2-3%) → You've just lost 4-6% without realizing it.

For businesses processing millions? That's hundreds of thousands lost every year.

Now imagine this:
✅ One account to hold 20+ currencies, so money never has to convert until YOU decide.
✅ Expanding overseas? You can open a bank account in a new country in 60 seconds, from your laptop.
✅ A private global payment network that routes around the traditional banking system so 90% of your transactions arrive on the same day. 
✅ Add on AI agents that handle invoicing, payments, procurement, and compliance checks while you sleep. 

No waiting. No manual transfers. No hidden fees. No 7% cut.
That’s exactly what Airwallex, a global fintech offers..  Airwallex just crossed $1 Bn ARR. (90% growth) by making one thing simple: eliminate the middleman.

Now you can accept payments, hold money in multiple currencies, pay suppliers internationally, and manage team spending, all in one unified platform.

Companies like McLaren Racing, Arsenal FC, and Canva have already made the switch. 

And Airwallex is going all-in: They’ve just raised $330 million at an $8 billion valuation (30% jump in 6 months) led by Addition and with participation from T. Rowe Price, Activant Capital, Lingotto, Robinhood Ventures and TIAA Ventures.

How much is your bank quietly taking from your international payments? It’s time to rethink what global finance looks like.

#FinTech #Payment #AirwallexPartner
 
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Can AI infrastructure be both sovereign AND scalable?

NVIDIA and Amazon Web Services (AWS) proved it can.
At #AWSreInvent, they announced a partnership that redefines enterprise AI:
✅ NVLink Fusion on Trainium - massive model training, unleashed
✅ AWS AI Factories with Blackwell GPUs - your data, your control, infinite scale
✅ Nemotron on Bedrock - serverless agentic AI, no infrastructure headaches
✅ GPU-accelerated vector search - Amazon OpenSearch + NVIDIA cuVS = 10x faster indexing at 25% of the cost
✅ Physical AI at scale - NVIDIA Cosmos world foundation models now on AWS for robotics and simulation

I will be hosting Dave Salvator, Director of Accelerated Computing at NVIDIA, to unpack what this means on CXO Spice.
We're talking:
✅ Why sovereign AI infrastructure just became enterprise-ready
✅ What 20K+ Blackwell GPUs unlock
✅ How to protect your models while scaling fast

The AI infrastructure conversation just got rewritten.

Learn more: https://lnkd.in/gTUeW_hy
What's holding back your AI deployment—compute, sovereignty, or both? 👇

#NVIDIAPartner #AWS #AI #Blackwell #Enterprise

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What happens when the world’s most advanced AI hardware meets the industry’s most powerful cloud platform?

This week at Amazon Web Services (AWS) re:Invent, the answer was unmistakable; and the NVIDIA presence was impossible to miss.

From packed keynotes to buzzing expo-floor demos, it’s clear we’re entering a new era where AI infrastructure is a catalyst. The conversations all pointed in the same direction:
✅ Accelerated computing is now table stakes.
NVIDIA GPUs powering AWS instances are enabling companies to build, train, and deploy models at speeds that felt impossible just a year ago.
✅ Partnership is the multiplier.
AWS × NVIDIA is empowering enterprises to scale AI workloads globally, securely, and efficiently.
✅ GenAI moved from concept to production fast.
Autonomous systems, enterprise agents, real-time LLMs, next-gen developer tools - NVIDIA’s ecosystem had a gravitational pull all week.

But what stood out most were the PEOPLE who bring that innovation to life: listening, guiding, inspiring, and elevating every moment.

The 1-minute clip captured something deeper than product demos; it showed a team showing up with energy, expertise, and genuine passion:
✅ Conversations that sparked curiosity
✅ Seamless collaboration across teams
✅ Visitors energized by every interaction
✅ A polished, human experience delivered with pride

Because in the end, hardware accelerates AI… but people accelerate possibility.
And this week at re:Invent, NVIDIA showed exactly what that looks like.

#NVIDIAPartner #AWSreInvent #Inception #AI #Robotics

Amy Kaplan Dave Salvator Scott Clark Adam Allevato Jess Ramos ⚡️Jean Kang Megan Lieu Daman Oberoi Hanako Tonozuka Viktoria Semaan Linda Haviv

Is your marketing strategy treating AI as a persona?

At the Schneider Electric Innovation Summit in Las Vegas, I sat down with Abby Gabriel, CMO of Schneider Electric North America, and this shift in thinking became crystal clear.

As Abby explained: "We now look at AI as one more persona. How does AI as an influencer take our information and ultimately provide a recommendation to our customers?"

Think about that. Not optimizing FOR AI tools. Not using AI to automate. But marketing TO AI as a decision influencer.

Here's what else stood out from our conversation:
✅ Energy tech redefined – After more than 135 years in North America, Schneider is leading the convergence through three pillars: electrification, digitalization, and automation.
✅ Digital dominance – Digital now represents 65-70% of Schneider's marketing mix, with AI strategy at the forefront. Their MySchneider portal serves more than 100,000 customers monthly.
✅ Sustainability as strategy – Serving 40% of the Fortune 500 with end-to-end decarbonization solutions—consulting, hardware, software, and services that turn strategy into results.
✅ Ecosystems over egos – With 1,500+ customers, partners, and suppliers at the Summit, Schneider proves success comes from elevating the entire ecosystem.

The future of energy technology is electrified, digitalized and automated. It turns watts and servers into intelligence, ecosystems, and sustainable outcomes.

Watch our full conversation: https://lnkd.in/gJT37MFs

On this Thanksgiving, I'm grateful for leaders like Abby Gabriel who are pushing us to think differently about the future of technology and sustainability.

#EnergyTech #AIStrategy #Sustainability #B2BMarketing #Innovation #Sponsored #SchneiderElectricInnovationSummit #ISNA2025 #InnovationSummitLasVegas #EnergyTechLeaders

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At the Schneider Electric Innovation Summit North America, hosted in Las Vegas, I sat down with Abby Gabriel, CMO of Schneider Electric North America.

Open article: The Future of Energy Technology: A Conversation with Schneider Electric's Abby Gabriel by Helen Yu • 4 min read

The Future of Energy Technology: A Conversation with Schneider Electric's Abby Gabriel

Is your next AI breakthrough just a search away?

Amazon Web Services (AWS) Marketplace now hosts 2,332 AI Agents & Tools; spanning from software development and data analysis to customer experience and security. Whether you're building, scaling, or transforming with AI, there's a solution trusted by enterprises worldwide.

From 646 software development tools to 489 data analysis solutions, the breadth is remarkable. And I'm excited about the innovation happening at the intersection of infrastructure and AI applications.

I'm going deeper tomorrow on the NVIDIA-AWS partnership and exploring how this collaboration is reshaping what's possible with AI at scale.

What AI challenge is your organization tackling right now? The answer might already be on AWS Marketplace.

👉 Explore the full AI Arsenal: https://lnkd.in/g7qitunD

Stay tuned for insights from my conversation with NVIDIA highlighting their partnership with Amazon Web Services (AWS).

#AWSMarketplace #AI #awsreinvent #aws #AWSPartners #NVIDIAPartner 

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Is your organization treating AI governance as a barrier to innovation or as the foundation for it?

As we head into 2026, the AI landscape is shifting dramatically. The era of "move fast and worry about governance later" is ending, and a new reality is emerging: trust and innovation are inseparable partners.

The organizations that will thrive won't simply be those that deploy AI first. They'll be the ones that recognize governance makes sustainable innovation possible.

Here's what the data tells us:
✅ CFOs are demanding real ROI, not just AI buzzwords
✅ Companies that can't show concrete results in 6-12 months risk seeing initiatives shelved
✅ With inconsistent government regulation, corporate self-governance must step up
✅ The winners will be those who build AI with accountability baked in from day one
✅ Governance accelerates growth by building the trust that allows AI to scale.  ✅ Shortcuts create technical debt. Discipline creates competitive advantage.

As Reggie Townsend put it: "Governance isn't a restraint on innovation, it's a necessary companion."

Want to see what other shifts are coming in 2026? SAS data and AI leaders have released their predictions on the AI reckoning ahead, from agentic AI accountability to the synthetic data arms race. https://lnkd.in/gdZ5UV5Z 

 Check out the full report: https://lnkd.in/ggkTYwZg

What's your take? Are you seeing the governance-first mindset take hold in your organization?

You should also take a look at what Smriti Mishra had to say about the SAS predictions. She shared her thoughts about the need to mop up the AI slop and rebuild on solid, accountable foundations.

#AI #AIGovernance #ResponsibleAI #Innovation #DataScience #TechLeadership #SASVisionary Brij kishore Pandey 

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Which forces most reshaped business, technology, and the global economy in 2025?

McKinsey & Company’s Year in Charts 2025 answers that question with clear and compelling data snapshots of the year.

In a fast, visual read, it shows:
✅ How AI shifted from experimentation to enterprise-scale impact
✅ Why global trade and supply chains are being restructured
✅ The rise of new industrial leaders and changing competitive dynamics
✅ Demographic trends redefining workforces and consumer demand
✅ The growing need to balance growth, resilience, and productivity

These trends are already shaping strategy, capital allocation, and leadership decisions.

👉 Read McKinsey’s 2025 Year in Charts:
https://lnkd.in/g86Aq9vx
Which trend do you think will have the biggest impact in 2026?

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The Battle

Joel Blades

Helen Yu

Followers

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Performance ScoreHelen Yu's LinkedIn Performance

Ready to grow your LinkedIn presence?

taplio

The Battle

Joel Blades

Helen Yu

Followers

Posts

Engagements

Likes

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);}Helen Yu's LinkedIn Performance

Ready to grow your LinkedIn presence?

Performance ScoreHelen Yu's LinkedIn Performance