Most tech careers aren’t linear—and yours doesn’t have to be either. Dr. Jason Bernard shares his unconventional journey from programming video games at age 11 to pioneering AI algorithms that could revolutionize biotech and urban planning.

In this eye-opening episode, Jason reveals how his diverse experiences—from military service to music composition—fuel groundbreaking research in process modeling and data science. You'll discover:

How early programming and limited hardware shaped his approach to elegant, resource-efficient algorithms

The real difference between machine learning, AI, and data analytics—and why understanding this distinction is key to future-proof skills

The fascinating world of modeling biological processes, like gene-expression for drought-resistant crops, using reverse engineering in data science

Why simplicity and human insight remain essential in an era dominated by neural networks and language models The future of data science careers in a rapidly evolving tech landscape and practical advice for new professionals

This episode is perfect for tech enthusiasts, data scientists, and students eager to learn how a curious mind can make an impact across industries—from agriculture to telecommunications—and why adaptability and a deep understanding of algorithms are the secret weapons for success. With over 18 years of research and real-world experience, Jason is an assistant professor at Athabasca University, known for pushing the boundaries of process modeling and optimization. His work on inferring computational models from real data has been called the “holy grail” by leading experts. If you're looking for inspiration on how to navigate a non-traditional tech path or want to understand the core principles behind cutting-edge AI research—this episode will change the way you see your career.

Hit play and unlock your potential today.

Host Kevin Evans

What happens when geopolitical tensions spill into your network?

Host: Kevin Evans

Guest: Dom Vogel

In this episode, we break down the real-world cyber threats facing organizations today — from Iranian threat groups targeting US healthcare to the hidden risks lurking in your contractor relationships and free SaaS tools.

Whether you're a solo operator or leading a large enterprise, this conversation delivers practical, no-nonsense strategies to protect what matters most.

🔐 In This Episode: Iranian cyber groups targeting US organizations & their destructive playbook Why geopolitical, cyber, and physical risks can no longer be managed in silos

The leadership drought in cybersecurity — and how to fix it Who should actually own your business technology (hint: not just IT)

Cybersecurity for small businesses: simple wins that scale

The real cost of free tools — what your data is funding Gen Z, remote work, and the future of the cyber workforce

Why procedural maturity matters more than your tech stack

Third-party and contractor risks hiding in plain sight Domain, cloud, and access governance — the unsexy stuff that saves companies

Resources: https://www.codetocloud.io/blog/who-owns-your-business-technology

In this episode, Kevin Evans sits down with AI systems engineer and energy sector expert Wish Bakshi to explore how AI and data analytics are transforming the oil, gas, and power industries. They discuss technical intricacies, industry challenges, and future opportunities in energy infrastructure.

• How AI models are used across the "molecules to electrons to bits" in energy
• The complexity of oil & gas logistics in North America vs. Europe
• Power grid nuances and the role of real-time data and AI
• The impact of open source AI models and frameworks like Hugging Face
• The evolution of AI’s influence on commodities trading and market prediction
• Power & power grid stability — the importance of maintaining the grid’s "heartbeat"
• Building and managing AI data centers: scale, infrastructure, and environmental considerations
• Frameworks for deploying AI: orchestrator methodology, multi-agent systems
• The rise of citizen developers using low-code/no-code AI tools
• Future outlook for AI adoption, standardization, and industry disruption

• Hugging Face – community-driven platform for open source AI models
• Wednesdays with Wish – Wish Bakshi’s LinkedIn blog & updates
• Industry reports and articles on AI in energy sectors (suggested based on discussion points)