Full Stack Product Management signals the end of the PM role as we know it. If you're tired of juggling competing objectives and feeling burnt out from just shipping features, this video explains why the traditional job is broken and what’s taking its place.The game is shifting from 'output' to 'outcome'. Instead of a feature factory, the future is about using Artificial Intelligence to handle the draining manual work. This episode shows how AI agents will become your new co-workers, freeing you to become a product orchestrator who focuses on creating genuine value. This new approach allows you to focus on your uniquely human abilities. The future of product leadership rests on three key superpowers:Contextual Intelligence: Understanding the cultural and emotional nuances of a problem.Adaptive Resilience: Using intuition to make smart moves with incomplete information.Creative Problem Solving: Identifying the right problem to solve in the first place.Quick Questions You Might HaveQ1: How does this video help with Full Stack Product Management?A1: It shows how AI will automate the manual parts of the job, freeing you up to focus on strategy, value, and solving genuine user problems.Q2: Is AI going to take my PM job?A2: No. This video explains how AI will support you, turning the PM into a more strategic product leader who orchestrates AI agents to get the job done.Q3: What’s the main takeaway?A3: The game is shifting from 'output' to 'outcome'. You’ll learn the three human skills you need to sharpen to stay ahead and deliver real, meaningful value.If you’re ready to level up, hit subscribe and comment below. Let’s discuss the new era of Full Stack Product Management.

In this episode, you'll dive into the exciting journey of Sebastian, an expert in applied artificial intelligence and a professor at the Technical University of Applied Sciences Rosenheim. In conversation with Marc, he sheds light on his career path, from his beginnings as a system administrator to his current role in research and teaching. A special focus is on the personal development and the capabilities of the human brain when it is trained by hard tasks.👤 Who is this for?- Anyone interested in the intersection of business and AI.- Students and career starters looking for inspiration for their educational journey.- Listeners who want to learn more about the personal and professional development of experts.- The curious, who want to understand how the human brain learns and develops.🔍 What you'll learn:- Sebastian's journey from dropping out of university to becoming a professor.- The decision to switch from the business world to academia.- Insights into speech processing and natural language processing.- The importance of lifelong learning and personal development.- What key elements should every company focus on to build their AI intellectual property.🧠 Highlights:- Sebastian's initial struggles and his path back to university.- The importance of reorienting oneself professionally.- The exchange between an AI expert and a businessman.- The question of whether learning is always easy.- The pros and cons of AI solutions developed in Europe compared to those in America.📎 Bonus: Key topics and concepts from this video:- Your brain needs hard work to evolve - ACL Statistics- Hugging Face - The AI community- Technical University of Applied Sciences Rosenheim Learn more about us here:Website - https://www.partner.comInstagram - https://www.instagram.com/partner.coreLinkedIn - https://www.linkedin.com/company/partnerLearn more about Sebastian here:Website - https://www.th-rosenheim.de/en/th-rosenheim/faculties/faculty-of-computer-science/prof-dr-sebastian-bayerlX - https://x.com/s_bayerl 🔔 Subscribe now to not miss any more exciting conversations!💬 Do you have questions or your own experiences on the topic? Share them in the comments!

Green IT: How Measuring Your Software’s Carbon Footprint Can Boost ProfitsEver wondered if cutting your software’s carbon footprint could actually boost your bottom line? In this episode, I sit down with sustainability specialist Cassandra Ballert – someone who’s spent over 15 years working across environmental engineering, life cycle assessment, and IT decarbonisation at Siemens. And yes, she once cycled from Australia to Germany on a tandem bike – so when she says she’s committed to the cause, she means it.We get real about why measuring your software’s carbon footprint isn’t just about saving the planet – it’s about saving money. Cassandra shares how tweaks to your product architecture and data storage decisions can cut emissions and operational costs, and why some of the “greenest” changes are also the smartest business moves.▶ What You’ll Learn • How to measure your software’s carbon impact – and why “what gets measured gets managed” really matters • Why data centre location could make or break your sustainability score • Practical ways to streamline software operations for both environmental and financial gains • How to make sustainability a priority in your product roadmap without slowing delivery • Why a “decarbonisation badge” could soon be your next big USP • The mindset shift every product leader needs: never accept the status quo▶ Quick Wins You Can Steal Today • Store data in regions with greener energy grids • Reduce unnecessary API calls and understand how, when and why transferring data • Use tools like the Green Software Foundation’s resources to benchmark your product’s impact • Treat sustainability as a value driver, not a side project▶ FAQsQ1: How does this help my business?By cutting carbon, you cut waste – in energy, storage, and costs. That means more efficient processes and better margins.Q2: Do I need a huge budget to start?Not at all. Many high-impact actions are about smarter architecture and usage, not big spending.Q3: Is this only for tech companies?No. Any organisation with software products or heavy IT usage can benefit from measuring and reducing their footprint.Watch now and see why the future of competitive software isn’t just faster and smarter – it’s greener.Let’s make profits and the planet work together.▶ Links mentioned on the podcast:https://greensoftware.foundationhttps://ecograder.comhttps://www.sustainableit.org▶ Get in touch with Cassandra:https://www.linkedin.com/in/cballert▶ Follow us on:Instagram @partnaer.core - https://www.instagram.com/partnaer.coreLinkedIn @partnaer - https://www.linkedin.com/company/partnaerWebpage https://partnaer.com/

In this video, you will learn how to strategically implement AI agents and technologies in companies and products. We will shed light on the difference between vertical and horizontal AI agents, present a framework for implementation, and discuss the challenges and future of AI in the workplace.👤 Who is this for?• Project and product managers who are dealing with the integration of AI• Business leaders who want to develop an AI strategy• Anyone who wants to understand how AI will change the structure of companies🔍 What you'll learn:• The difference between vertical and horizontal AI agents• A framework for AI implementation in companies ("Company AI Pyramid")• What "Forward Deployed Infrastructure Engineering" means• The importance of data quality and standards as a foundation for AI projects• Strategic considerations for the future of work in the context of AI🧠 Highlights:• Insights into the HLE benchmark that compares the performance of LLMs like Grok, Gemini, and ChatGPT• The prediction that companies may need 50% fewer people in the next 3 years• The necessity of doing "homework" (standards and structures) before implementing AI• The role of AI Ops and the importance of thinking customer-centrically📎 Bonus: Key resources & references used in this video:• Y Combinator (Accelerator)• Palantir (Company)• Jira Service Management (JSM)• Salesforce• SAPLearn more about us at:Website - `https://www.partner.com`Instagram - `https://www.instagram.com/partner.core`LinkedIn - `https://www.linkedin.com/company/partner`🔔 Subscribe now for more practical, real-world AI insights focused on product and project excellence.💬 Got questions or examples of your own? Let's discuss in the comments!#VerticalAI #HorizontalAI #AIStrategy #ProductManagement #ProjectManagement #AIOps #AIinBusiness #AIStrategy #LLM #Grok #Gemini #ChatGPT

Scaling Atlassian Enterprise? Watch this before it’s too late.CIOs, this isn’t just an IT project—it’s a business-critical decision. In this video, we expose what no one tells you until it’s already costing you time and budget.You’ll learn: • Total Costs of Ownership for Atlassian Enterprise • Why ownership must sit at C-level, not just IT • How to align architecture, admin, and finance for rollout successAtlassian Cloud is growing fast. You’ve got 2–3 years. Don’t wait.📌 Unpaid advertisement. No sponsorship—just real talk from the field.🎯 For CIOs, enterprise architects, and teams building smart Atlassian strategies.#Atlassian #EnterpriseRollout #CIO #JiraCloud #ITStrategy #UnpaidAd #DigitalTransformation

Yeah… you’re not alone.In this video, we break down the top 5 mistakes I see in product management all the time — especially in complex B2B and industrial environments — and how to actually fix them. No fluff. No theory. Just raw, real-world insight.We’re talking: • Why most PMs don’t know what to say no to — and how that tanks progress • The hidden cost of skipping business case thinking (hint: it adds up fast) • How prioritisation done wrong creates chaos — and a dead roadmap • What product ops should be doing (and why you rarely hear from them when it works) • The real impact of siloed tools — and why Jira Product Discovery might just save your sanityWe also share a live example from the IoT space — managing truck fleets with embedded tech — and what good ops looks like behind the scenes.📌 Don’t forget to like, comment, and subscribe if you want more hands-on content like this every week.

Ever felt like your lab’s running at 100mph… with the handbrake on?Yeah. You’re not alone.Most labs are brilliant at science but struggle when it comes to digital. Clunky systems, slow turnaround times, endless paperwork—and zero time for strategy. Only 21% of labs had embraced digital transformation as of 2022. That’s mad, right?In this video, I’ll walk you through what actually works—no fluff, no jargon.🧪 Here’s what you’ll get: • A clear framework for transforming your lab (without burning everyone out) • Real examples like AnalyticaLabs and how they cut turnaround time and errors with AI-powered tools • What leaders often miss: how to build momentum with small wins, not huge budgets • How to fix the five major blockers: People, Organisation, Culture, Technology, Market • Why your best talent might already be burning out—and what to do about it💡 You’ll hear how: • Cloud collaboration cut costs by 50% (yes, really) • Labs are shifting to direct-to-consumer services and subscription models • A pilot project improved sample tracking and reduced errors without extra staffThis isn’t about adding more tech for tech’s sake. It’s about making your lab faster, smarter, and easier to run—so your team can focus on science, not spreadsheets.⸻FAQsQ1: How does this video help with digital transformation in labs?You’ll see simple, real-life examples of what works—plus a clear playbook to follow.Q2: Who should watch this?If you’re a decision-maker in biotech or diagnostics and tired of digital chaos, this is for you.Q3: What’s the main takeaway?Digital transformation doesn’t have to be complicated—if you start with vision, not tools.⸻🎯 Want to talk about your lab’s strategy?Book a free, no-strings strategy session with a senior expert:👉 https://partnaer.com/strategycall

“Do we even need portfolio management?”That’s the question no one’s asking - but should.If you’re a decision-maker juggling dozens of projects, product lines, or strategic bets… this episode's your wake-up call. We’re not talking buzzwords. We’re talking real-world portfolio thinking that cuts through the noise and helps you make smarter calls, faster.Here’s what we unpack: • What a portfolio really is (hint: it’s not just a PowerPoint term) • Why most PMs and product leads misunderstand portfolio management • The 3 types of portfolios every org is already running - whether they know it or not • How Jira fits into this without becoming a reporting black holeThis isn’t a lecture. It’s a practical sit-down.Think of it like a coffee chat - with strategy baked in.If you’re leading teams, budgets, or product lines - this is for you.