In this episode of the Silver Creek Insights Podcast, host Felisa Wiley sits down with Khalil Jezini, Founder of Kornerz Social Network, and Rich Dornisch, Chief Operating Officer at Kornerz, to explore a bold mission: building a mental-health-focused social platform designed to create real connection instead of digital loneliness.

Kornerz is rethinking what a social network can be — shifting from attention-driven algorithms to community-driven experiences that prioritize authenticity, mental wellbeing, and meaningful interaction.

In this conversation, we explore:

• The rise of digital loneliness in modern social media
• Why community-driven platforms are the future of online interaction
• Building a values-first tech startup in a crowded social media landscape
• The challenge of subscription fatigue and sustainable platform models
• How founders design technology that supports mental health
• The intersection of entrepreneurship, community, and digital wellbeing

Khalil shares the entrepreneurial journey that led to Kornerz, while Rich brings perspective on scaling technology, operations, and community platforms.

If you're interested in startup innovation, social platforms, mental health technology, or community-focused entrepreneurship, this episode offers valuable insights into the future of social connection.

🚀 Want to turn your data into actionable insight?
Explore Silver Creek’s analytics and AI solutions:
👉 https://silvercreek.ai

In Episode 29 of Silver Creek Insights, we sit down with Praveen Kamsetti, CIO and digital transformation leader, to explore how today’s technology executives must balance operational excellence with empathetic leadership.

This conversation covers:

• CIO digital transformation in complex global enterprises
• Cloud migration challenges and hybrid infrastructure lessons
• AI governance in enterprise environments
• Cybersecurity resilience and disaster recovery leadership
• Operational excellence at scale
• Breaking down silos through shared support models
• The role of empathy and accountability in executive leadership

Praveen shares powerful real-world lessons—from leading post-9/11 disaster recovery operations to integrating 20 facilities across nine countries, to driving Oracle ERP modernization at one-third of projected vendor cost.

He also discusses his newly published book:

“The 4L Framework for Modern Leadership.”

Leadership has evolved. Have you?

In today’s landscape of rapid disruption, the methods that worked yesterday can cause failure tomorrow. Success is no longer about choosing between people or profits—it requires mastery of both.

In The 4L Framework for Modern Leadership, Praveen introduces a practical and human-centered model for tech leaders:

• Lead with empathy
• Lead for business results
• Lead by example
• Lead with emotional intelligence

The book provides a tangible toolkit to harmonize business growth with human connection—equipping leaders in the boardroom or the breakroom to lead with confidence, agility, vision, and accountability.

If you are a CIO, CTO, enterprise architect, IT executive, or aspiring technology leader, this episode is a masterclass in resilient and responsible leadership.

🌐 Learn how Silver Creek supports enterprise digital transformation and AI governance atwww.silvercreek.ai
🎧 Subscribe for more conversations on data, AI, and tech leadership.

Sergio breaks down the realities of building scalable data systems with Apache Spark and Delta Lake, why data governance is no longer optional, and how organizations must rethink culture, education, and career growth to successfully adopt new technologies. We also dive into the human side of data engineering—teaching, mentorship, and the mindset shifts required for teams to evolve alongside rapidly changing tools.

This episode is a must-listen for data engineers, analytics leaders, and anyone navigating the intersection of technology, governance, and people in modern data platforms.

🎧 Listen now and explore how we help organizations build reliable, future-ready data systems atwww.silvercreek.ai

In Episode 27 of the Silver Creek Insights Podcast, Yigit Karanfil, Director of Technology at INSTUDIO, joins us to unpack what design technology leadership looks like in the real world. From automating creative workflows to earning leadership buy-in, Yigit shares lessons from working at the intersection of architecture, engineering, and technology.

We dive into change management in creative organizations, the importance of soft skills in tech leadership, and how multidisciplinary career paths shape better outcomes for teams navigating digital transformation.

This episode is for design leaders, technologists, and anyone trying to bridge creativity and technology without losing either.

🎧 Listen on Spotify, Apple Podcasts, or YouTube
🌐 Learn how Silver Creek helps organizations lead digital transformation with clarity and confidence atwww.silvercreek.ai

In Episode 26 of the Silver Creek Insights Podcast, Julian Plotnick, Founder of 4 Day Philly, joins us to unpack what it really takes to deploy AI responsibly in the real world. From agentic AI models and data infrastructure to public policy, governance, and workforce impact, this conversation explores how technology decisions ripple far beyond engineering teams.

We dig into how organizations can balance innovation with regulation, why human-centered design matters more than ever, and what leaders need to understand as AI moves from experimentation to production.

This episode is for builders, policymakers, and executives thinking seriously about the future of AI and the people it affects.

🎧 Listen on Spotify, Apple Podcasts, or YouTube
🌐 Learn more about our work atwww.silvercreek.ai

In this episode of the Silver Creek Insights Podcast, we sit down with Oren Gruber, a technology leader with over 20 years of experience driving digital transformation across transportation and federal sectors. Oren shares a grounded perspective on what it really takes to move AI from strategy decks into production environments.

We explore agentic AI models, the realities of data infrastructure at scale, and why governance, regulation, and public policy are inseparable from modern AI deployment. Oren also breaks down what human-centered technology actually means when systems affect safety, mobility, and public trust.

This conversation is for leaders, builders, and policymakers navigating the intersection of AI innovation and societal impact.

🎧 Listen now on Spotify, Apple Podcasts, and YouTube
🌐 Learn more about how we help organizations deploy AI responsibly at www.silvercreek.ai

In this episode of the Silver Creek Insights Podcast, we sit down with Dr. Ross Turner, former academic and founder in the AI space, to unpack how AI actually gets built, deployed, and trusted in business environments.

We explore the real differences between Natural Language Generation and modern LLMs, why AI hallucinations remain a serious challenge, and how teams are thinking about agentic AI and automation beyond the hype. Ross also shares practical insights on applying machine learning in products, the trade-offs leaders face, and how reliability becomes a business problem — not just a technical one.

If you’re building, buying, or leading with AI, this conversation offers clarity where there’s usually noise.

🎧 Listen now on Spotify, Apple Music, or YouTube
🌐 Learn more atwww.silvercreek.ai

In this episode of the Silver Creek Insights Podcast, Barr Moses, Co-Founder and CEO of Monte Carlo, joins us to talk about data reliability, observability frameworks, and what infrastructure at scale really demands from modern data leaders.

Barr breaks down how AI is changing the future of BI, why observability must span the full data lifecycle, and how monitoring agents can accelerate data stewardship without replacing human judgment. We also explore how organizations can move beyond dashboards and toward conversational, trustworthy data experiences.

Whether you’re building analytics platforms, AI products, or enterprise data systems, this episode offers practical insights into designing infrastructure that lasts.

🎧 Subscribe for more conversations on data, AI, and leadership
🌐 Discover how Silver Creek helps teams build reliable data systems atwww.silvercreek.ai

Listen for insights on engineering resilience, navigating failure, and why empathy matters even in firmware.

🎧 Available on Spotify, Apple Music, and YouTube

🌐 Explore more at www.silvercreek.ai

🔍 In this episode, we explore:

• How AI is being integrated into healthcare workflows

• The importance of empathy-driven design in medical tools

• Challenges of AI implementation in high-stakes clinical environments

• The role of cross-functional collaboration between data teams and medical professionals

• Why ethical AI development in healthcare must balance innovation and trust

Whether you're a health tech founder, data scientist, or clinician exploring AI in medicine, this conversation offers real insights into designing AI systems that improve care, not just efficiency.

🎧 Listen now on Spotify, Apple Music, and YouTube
🌐 Dive deeper into our work at www.silvercreek.ai

We talk about:

His journey from support ops to leading data design

How AI is changing the way we prototype, build, and tell stories with data

What it takes to bring empathy into analytics

Why visualization is more than aesthetics—it’s strategy

🎧 Available now on Spotify, Apple Music, and YouTube
💻 Learn more at www.silvercreek.ai

🌱 Whether you’re an engineer, a founder, or just curious how big ideas take root, Isaac’s story is a blueprint for resilient, purpose-driven growth.

🎙️ Now streaming on Spotify and Apple Music — just search Silver Creek Insights.
✨ And if you want to see how we help teams align people, data, and AI with purpose, visit us at www.silvercreek.ai.

#SilverCreekInsights #SystemsThinking #IsaacStrain #Leadership #Reinvention

What happens when companies stop treating data like an afterthought—and start treating it like a product?

In this episode of Fee’s Fresh Takes, host Fee Wiley talks with Daniel Pham, Co-Founder of Silver Creek, about how the “data-as-a-product” approach helps organizations move faster, align better, and unlock real business value.

💡 They explore:

How clear ownership and shared goals eliminate confusion and silos

Why data engineers need to think like product managers

The cultural shift needed to turn data from tech debt to growth engine

Simple steps to identify your highest-value data use case

✅ When data is owned, discoverable, and tied to outcomes—it stops being a burden and starts becoming your advantage.

Ready to treat your data like a product?
Start your transformation with Silver Creek: SilverCreek.ai

Nachiket Mehta,  Head of Data & Analytics Engineering at Wayfair, joins Fee to unpack how integrating AI in business processes requires more than shiny tools. We cover:

Why artificial intelligence integration services fail without people/process alignment

How embedded data engineers turn silos into purpose-driven teams

Real-world wins from decentralizing architecture and embedding AI integration within tools

The shift-left mindset that makes “data as product” more than a slogan

If you’re serious about AI, culture, and measurable impact, this episode is for you.

👉 Learn how Silver Creek helps companies build purposeful, AI-ready systems at www.silvercreek.ai

They dive into:

Why trust, relationships, and shared values beat feature checklists every time

How to simplify an over‑engineered data architecture without sacrificing scale or ROI

The role of a “team captain” consultancy in coordinating Snowflake, dbt, Omni Analytics & other top partners

Rapid‑fire “Do This, Not That” tips for activating partners, following up, and avoiding one‑size‑fits‑all pitches

Ready to turn chaos into a coordinated win? Visit SilverCreek.ai to discover how our tech‑agnostic experts streamline your data & AI journey—so your ecosystem plays (and wins) as one. 🚀

Tristan Handy, founder and CEO of dbt Labs, joins us to explore the next evolution of analytics engineering, dbt Fusion, and the rise of AI in analytics workflows.

📌 Highlights:

dbt Fusion explained: faster compile times, SQL comprehension, cost savings

What makes a data lake technology stack valuable in the age of open standards

The impact of AI data visualization tools on insight delivery

How AI is being used in sports analytics today and what business leaders can learn from it

The real opportunity of predictive analytics AI

This is a must-watch for data leaders, engineers, and anyone building or maintaining a modern stack.

#SilverCreekInsights #dbtFusion #ModernDataStack #AIAnalytics #DataEngineering #PredictiveAnalyticsAI

In this episode Dr. Josh Simmons (Director of Engineering ) breaks down the real-world value of real-time data analytics, including where it matters—like in finance, defense tech, or trading—and where it’s overkill.

We also talk about:

How to scale engineering teams without losing quality

How AI really integrates with legacy systems

What makes a great tech leader (and a terrible one)

Wondering how to get real-time futures data on TradingView? Curious if there’s any charting service that includes real-time data? Josh shares the trade-offs, myths, and why less is often more.

🔥 One of our sharpest episodes yet.

Dr. Josh's views are his own and don't reflect the views of any employer past or present.

So we’re breaking it down:

What is real-time data, really?

Where it’s critical

Where it’s overkill

And how to know if your team is even ready

So Daniel—let’s jump in. What are the top two industries where real-time isn’t just helpful, but absolutely critical?

Daniel Pham:
Yeah, let’s get into it. The classic answers are finance, logistics, and healthcare.
But even then—what is real-time data analytics if the insights don’t drive decisions?
It’s not just about speed. It’s about relevance.

For example, in finance—yes, you need real-time alerts for fraud detection or when a card is swiped. You need those systems to react instantly. Same with real-time futures data on platforms like TradingView—people want second-by-second data to make trading decisions. But that’s for very specific use cases.

Fee:
Exactly. How to get real-time data on TradingView is a hot question because people think faster always means better. But it’s not universal.

Like credit scoring? That doesn’t need to be instant. That can be a weekly batch. GPA in education? That’s semester by semester. We don’t need a live GPA dashboard.

Daniel:
Totally agree. And let’s be honest—is there any charting service that includes real time data? Yes, but it comes at a cost.
Many teams chase real-time because of FOMO or buzzwords—AI, real-time, automation—but don’t assess the ROI. And those cloud compute bills add up fast.

Fee:
Right. I see it all the time—teams obsessing over data dashboards. Real-time dashboards. Executive alerts. All day. But if you’re not acting on it? What’s the point?

Daniel:
Exactly. We need to zoom out.
What is real-time data analytics if you’re just reacting instead of making smart, aligned decisions?

Sometimes, less is more. Instead of obsessing, get a consistent system.
It’s like working out—you don’t need to do CrossFit twice a day. You need the right plan that works for your body. Same with data.

Fee:
So real-time does matter—for things like sports betting, finance, or anything where users make split-second decisions based on data.

But for most orgs? Batch is still strategic.
Weekly or daily refreshes still count. It’s not outdated—it’s efficient.

Daniel:
Exactly. Think: “What decisions are we driving? Who needs this data—and when?”
That’s how you figure out if real-time is a necessity or a distraction.

Fee:
Couldn’t agree more. Final recap?
✔ Not all fast data = better decisions
✔ Real-time is expensive—use it wisely
✔ Align your stack to value, not just hype
✔ Batch is still powerful
✔ And a common data language beats 20 dashboards

Thanks for tuning in! Catch you next week on #FeesFreshTakes.

Contact the Gravity Foundation: hello@gravityfoundation.com

LinkedIn: (30) Gravity Foundation: Overview | LinkedIn

Dave shares insights on when to invest in BI, the importance of understanding key business metrics, and how to build a strong data foundation. They also discuss the impact of the cloud data revolution, remote work, and the role of AI in business intelligence.

Whether you're a startup founder or interested in data analytics, this episode offers practical tips for making better data-driven decisions.

Mary Beth offers invaluable advice on career growth, emphasizing the importance of understanding the entire organization and gaining expertise across different areas.

Discover how Omni is blending centralized data modeling with decentralized self-service analytics to empower users and streamline insights.

Hung shares his incredible journey from Vietnam to Germany, and how his experiences shaped his resilience and entrepreneurial spirit. Discover the groundbreaking data orchestration platform, Y42, and how it's revolutionizing the way companies handle data.

From personal struggles to professional triumphs, this episode is packed with insights on overcoming adversity, the importance of data quality, and the future of tech. Perfect for tech enthusiasts, entrepreneurs, and anyone inspired by stories of grit and innovation.

Explore the transformative impact of Sigma's embedded analytics platform on businesses across industries, from Greenwich HR to PrismHR. Learn how Sigma is empowering organizations to harness the power of data and drive growth like never before.

In this episode, Gordon shares his journey and passion for data, highlighting the social impact of his work and the importance of accurate knowledge in decision-making. He explores being decision-driven over data-driven, the role of data analytics in AI, and the future of the field.

Explore how AI accelerates insights, the need for governance, and potential EU regulations. Giovanni highlights AI's role in resource optimization and abundance creation, touching on challenges posed by deepfakes and the evolving dynamics of truth in the AI era.

Founders Jack Langworthy and Daniel Pham share insights into the company's unique approach to team-building, creating a SWAT team of data professionals united by passion and skill.