Consulting

In a MAJOR ruling for European copyright law, the Munich Regional Court has sided with Germany’s music rights society GEMA against OpenAI, finding that the company’s ChatGPT model unlawfully used copyrighted song lyrics in its training and responses. The decision, issued this morning, marks the first major European court judgment holding an AI company liable for using protected works without a licence. I got into AI through being Director of Legal Affairs and Regulatory Compliance in IMRO, the Irish counterpart of GEMA - and I know the people in GEMA - so this is very interesting to me. The case centred on GEMA’s allegation that OpenAI trained ChatGPT on its repertoire of German song lyrics, allowing the chatbot to reproduce works by artists such as Helene Fischer and Herbert Grönemeyer. The court agreed, concluding that the model’s ability to reproduce lyrics word for word demonstrated that the works had been used in training. It ruled that OpenAI is liable for copyright infringement and prohibited ChatGPT from reproducing lyrics from GEMA-represented artists unless a licence is obtained. The court also held that the European Union’s Text and Data Mining exceptions cannot shield generative AI systems that “memorise” and reproduce copyrighted material. This reasoning undermines one of the primary legal defences AI developers have relied upon in Europe. While damages will be determined in a separate proceeding, the court’s finding of liability alone sets a powerful precedent. OpenAI has announced plans to appeal. The 42nd Civil Chamber of the Munich Regional Court had indicated its position in September, when it observed that the model’s outputs could not be explained without training on copyrighted material. The final judgment confirmed that assessment. For the wider AI sector, the ruling suggests that AI companies operating in the European Union may need explicit licences for any copyrighted content used in model training or risk litigation. The decision also has regulatory implications. It aligns with growing momentum within the EU to enforce transparency and rights-holder protections under the AI Act and the Copyright in the Digital Single Market Directive. The GEMA v OpenAI ruling diverges sharply from Bartz v Anthropic in the United States. In Bartz, Judge Alsup found that AI training on copyrighted material could qualify as fair use, meaning no licence is required when the use is deemed transformative and non-substitutive. He viewed training as an analytical process that teaches the model general patterns rather than reproducing expression. The Munich court took the opposite view, holding that using protected works in AI training without permission constitutes reproduction requiring a licence. This illustrates the growing divide between the U.S. model, where fair use can exempt AI developers from licensing duties, and the European approach, which treats copyright as an enforceable economic right demanding prior authorisation.

The most expensive mistake in business isn't financial - it's cultural. Here's the data... Last month, I watched a "successful" company implode. - Revenue was up 40% - Profits were soaring - Growth was explosive But something was rotting from within. The numbers told one story. The empty desks told another. Get Real-time Interview Assistance Here- https://bit.ly/4h3iGd7 Create Free Cover letter Here- https://bit.ly/406H1rK Get Jobs & Internship Updates Join Below:- . WhatsApp👉 https://lnkd.in/ghPTzV6m . Telegram👉 https://lnkd.in/ePxtYkFH . Here's what the research reveals about culture's true cost: 1. The Hidden Multiplier: • Companies with strong cultures see 72% higher employee engagement • Engaged teams are 21% more profitable • Positive workplace cultures boost productivity by 30% 2. The Expensive Exodus: • Poor culture doubles employee turnover • Each lost employee costs 1.5-2x their salary • High performers flee toxic cultures first But here's what fascinated me most: Louis Gerstner (Former IBM CEO) said it perfectly: "Culture isn't just one aspect of the game - it is the game" The science backs him up: 3 Critical Culture Metrics: • Employee engagement • Customer satisfaction • Cash flow When one falls, the others follow. I learned this lesson the hard way: Skills? Outstanding. Results? Exceptional. Culture? Toxic. Within 6 months: - 4 top performers quit - Client satisfaction plummeted - Innovation stopped Then everything changed. We rebuilt around 3 culture principles: 1. Trust Over Control (Give people autonomy to make decisions) 2. Growth Over Performance (Invest in development, not just results) 3. Purpose Over Profit (Connect work to meaningful impact) The results? • Employee turnover dropped 50% • Productivity jumped 40% • Innovation flourished The Oxford research is clear: A positive culture doesn't just feel better. It performs better. Your culture is your company's immune system. Strong? It fights off problems. Weak? Everything becomes a crisis. Is your culture multiplying your success? Or dividing your potential? The answer might be worth millions. What's one thing you're doing to build a stronger culture?

Modern IIoT systems demand a balance of safety, security, reliability, resilience, and privacy. This isn't just a tech challenge; it's a cultural one, bridging IT's obsession with privacy and OT's focus on safety. The 𝐈𝐧𝐝𝐮𝐬𝐭𝐫𝐲 𝐈𝐨𝐓 𝐂𝐨𝐧𝐬𝐨𝐫𝐭𝐢𝐮𝐦’𝐬 𝐒𝐞𝐜𝐮𝐫𝐢𝐭𝐲 𝐅𝐫𝐚𝐦𝐞𝐰𝐨𝐫𝐤 (𝐈𝐈𝐒𝐅), first released in 𝟐𝟎𝟏𝟔, is now on 𝐕𝐞𝐫𝐬𝐢𝐨𝐧 𝟐.𝟎, with its latest update in 𝟐𝟎𝟐𝟑. Over the years, it has evolved into a robust guide for securing IIoT systems, addressing the unique challenges of integrating IT and OT. The IISF is designed to help manufacturers build trustworthiness across systems by aligning safety, security, reliability, resilience, and privacy in a single framework. The 𝐈𝐨𝐓 𝐒𝐞𝐜𝐮𝐫𝐢𝐭𝐲 𝐌𝐚𝐭𝐮𝐫𝐢𝐭𝐲 𝐌𝐨𝐝𝐞𝐥 (𝐒𝐌𝐌), first released in 𝟐𝟎𝟏𝟖, is a structured framework that builds on the IISF’s principles by helping organizations assess and improve their security practices. 𝐖𝐡𝐚𝐭 𝐩𝐫𝐨𝐛𝐥𝐞𝐦𝐬 𝐝𝐨 𝐭𝐡𝐞𝐲 𝐬𝐨𝐥𝐯𝐞? • Securing legacy (brownfield) environments alongside modern, cloud-integrated systems. • Bridging the gap between IT (focused on data security) and OT (focused on operational safety). • Equipping manufacturers with tools to assess risks, address gaps, and build actionable security roadmaps. 𝐇𝐨𝐰 𝐓𝐡𝐞𝐲 𝐖𝐨𝐫𝐤 𝐓𝐨𝐠𝐞𝐭𝐡𝐞𝐫 • 𝐈𝐈𝐒𝐅 𝐏𝐫𝐨𝐯𝐢𝐝𝐞𝐬 𝐭𝐡𝐞 "𝐖𝐡𝐚𝐭" 𝐚𝐧𝐝 "𝐖𝐡𝐲": It explains what security goals organizations should aim for and why they matter in an IIoT context. • 𝐒𝐌𝐌 𝐏𝐫𝐨𝐯𝐢𝐝𝐞𝐬 𝐭𝐡𝐞 "𝐇𝐨𝐰": It helps organizations evaluate their current security maturity, define targets based on IISF principles, and create actionable roadmaps to achieve those targets. 𝐖𝐡𝐲 𝐔𝐬𝐞 𝐁𝐨𝐭𝐡? Together, the IISF and SMM offer a top-down and bottom-up approach: • Start with the IISF to understand the overarching security needs for your IIoT systems. • Use the SMM to assess where you stand and implement practical improvements to achieve those needs. 𝐃𝐨𝐰𝐧𝐥𝐨𝐚𝐝 𝐈𝐈𝐒𝐅:  https://lnkd.in/eypinq3G 𝐃𝐨𝐰𝐧𝐥𝐨𝐚𝐝 𝐒𝐒𝐌: https://lnkd.in/e398Y9TU ******************************************* • Visit www.jeffwinterinsights.com for access to all my content and to stay current on Industry 4.0 and other cool tech trends • Ring the 🔔 for notifications!

After spending three decades in the aerospace industry, I’ve seen firsthand how crucial it is for different sectors to learn from each other. We no longer can afford to stay stuck in our own bubbles. Take the aerospace industry, for example. They’ve been looking at how car manufacturers automate their factories to improve their own processes. And those racing teams? Their ability to prototype quickly and develop at a breakneck pace is something we can all learn from to speed up our product development. It’s all about breaking down those silos and embracing new ideas from wherever we can find them. When I was leading the Scorpion Jet program, our rapid development – less than two years to develop a new aircraft – caught the attention of a company known for razors and electric shavers. They reached out to us, intrigued by our ability to iterate so quickly, telling me "you developed a new jet faster than we can develop new razors..." They wanted to learn how we managed to streamline our processes. It was quite an unexpected and fascinating experience that underscored the value of looking beyond one’s own industry can lead to significant improvements and efficiencies, even in fields as seemingly unrelated as aerospace and consumer electronics. In today’s fast-paced world, it’s more important than ever for industries to break out of their silos and look to other sectors for fresh ideas and processes. This kind of cross-industry learning not only fosters innovation but also helps stay competitive in a rapidly changing market. For instance, the aerospace industry has been taking cues from car manufacturers to improve factory automation. And the automotive companies are adopting aerospace processes for systems engineering. Meanwhile, both sectors are picking up tips from tech giants like Apple and Google to boost their electronics and software development. And at Siemens, we partner with racing teams. Why? Because their knack for rapid prototyping and fast-paced development is something we can all learn from to speed up our product development cycles. This cross-pollination of ideas is crucial as industries evolve and integrate more advanced technologies. By exploring best practices from other industries, companies can find innovative new ways to improve their processes and products. After all, how can someone think outside the box, if they are only looking in the box? If you are interested in learning more, I suggest checking out this article by my colleagues Todd Tuthill and Nand Kochhar where they take a closer look at how cross-industry learning are key to developing advanced air mobility solutions. https://lnkd.in/dK3U6pJf

30m PowerPoint presentations are generated daily. Why is this significant? Your average professional dedicates up to 2 workdays weekly to crafting or attending presentations. This is a costly issue: Slides can hinder efficiency, encourage shallow thinking, and potentially lead to a disengaged team. "Many years back, we banned PowerPoint presentations at Amazon. It's probably the wisest decision we ever made." – Jeff Bezos Here are 8 alternatives to 'Death by Powerpoint': 1 - Compose a Memo At Amazon, meetings begin with participants quietly reading a six-page, narratively-structured document.  The outcome: sharper thinking, improved decisions. 2 - Present a Video In today's world, videos are simple to create using smartphones and AI tools.  The outcome: enhanced creativity, greater engagement. 3 - Implement Ignite Talks Five minutes, 20 slides, automatically advancing every 15 seconds.  The outcome: More succinct and powerful presentations. 4 - Craft a Narrative Using appropriate frameworks, we can develop a story much quicker than building a deck.  The outcome: People are 20 times more likely to retain facts woven into a narrative. 5 - Conduct an Interactive Workshop Engage the audience and allow them to devise solutions in smaller groups.  The outcome: Rather than being passive listeners, they become highly involved and take ownership. 6 - Offer a Live Demonstration Showcase your product or concept. Allow others to experience it.  The outcome: The multi-sensory experience reinforces your message. 7 - Organize a Role-Play How might customers, investors or employees respond? Discover through a role-playing exercise.  The outcome: More enjoyable, fresh insights, less preparation time. 8 - Deliver a TED-style Talk Present your idea in a TED Talk format, emphasizing storytelling and audience connection. The outcome: You convey a compelling message in a memorable manner. ♻️ Please share with your network. 📌 And follow Oliver Aust for more practical tips on leadership communication.

Introducing the web's first market map of the Product Analytics Market: I was floored when I couldn't find one of these online. Surely, Gartner or CBInsights or A16Z would have created one? It turns out not. So I spent the past 3 months: • Talking with 25 buyers • Researching the space myself • Interviewing 5 product leaders at key players This is what I learned about the most significant players in each space: (that PMs and product people need to know) 1. Core Product Analytics Platforms     The foundational tools for tracking user behavior and product performance Amplitude : The leader, an all-in-one platform for PMs to master their data Mixpanel : The leader in easy UX and pioneer in event-based analytics Heap | by Contentsquare: The automatic event tracking and real-time insights leader 2. A/B Testing & Experimentation     Platforms for analysis Optimizely : The premier tool for sophisticated A/B and multivariate testing VWO : The best for combining A/B testing with heatmaps and session recordings AB Tasty: The all-in-one solution for testing, personalization, and AI-driven insights 3. Feedback & Session Recording     Capture qualitative insights and visualize user interactions Medallia: The top choice for comprehensive experience management Hotjar | by Contentsquare: The go-to for visual feedback and user behavior insights Fullstory: The best for detailed session replay and user interaction analysis 4. Open-Source Solutions     Customizable, free analytics platforms for data sovereignty Matomo: The robust, privacy-focused open-source analytics platform Plausible Analytics: The lightweight, privacy-first analytics solution PostHog: The versatile, open source product analytics tool 5. Mobile & App Analytics     Specialized tools for mobile and app performance analysis UXCam: The best for in-depth mobile user interaction insights Localytics: The leader in user engagement and lifecycle management Flurry Analytics: The comprehensive, free mobile analytics platform 6. Data Collection & Integration     Gather and unify data across platforms Segment: The top choice for effortless customer data unification Informatica: The enterprise-grade solution for data integration and governance Talend: The flexible, open-source data integration tool 7. General BI & Data Viz     Non-product specific tools for data analysis and visualization Tableau: The leader in interactive, rich data visualization Power BI: The best for deep integration with Microsoft tools Looker: The modern BI tool for customizable, real-time insights 8. Decision Automation & AI     Systems for automated insights and decisions Databricks: The unified platform for data and AI collaboration DataRobot: The leader in automated machine learning and AI Alteryx: The comprehensive solution for analytics automation Check out the full infographic to see where your favorite tools fit and discover new platforms to enhance your product analytics stack.

To effectively help their clients, strategy and implementation consultants need to leverage four drivers at the same time: Content, Process, Mindset and Behavior. Master these skills and you will be amongst the best in the world. The classical strategy consultant focuses primarily on the content-aspect of consulting. They do extensive analysis and based on that analysis, they give advice. While this model has been a great source of revenues, it is not enough for real change and effective strategy implementation. To truly achieve organizational change, a strategy and implementation consultant needs to address key drivers. We can organize them along two dimensions: explicit vs. tacit and cognition vs. action. The explicit part of consulting is what we see. It concerns the mechanics of strategy and the steps it takes to develop and implement it. The tacit part is what is under the surface; what happens in people’s mind and what is needed to change their day-to-day behavior. The cognitive part of consulting concerns the mental aspect; what happens in our minds and how we think. The action part concerns what we do; the processes and behaviors required. Based on these two dimensions, these are the four drivers of strategy and implementation consulting: CONTENT The strategy itself, as well as the roadmap and action plans that follow from it. This driver focuses on what the organization should look like in the future (point B), where it stands now (point A) and how to bridge the gap between A and B. PROCESS The steps, actions and tools used to develop and implement strategy. To define points A and B and the actions to bridge the gap between them, you take certain steps and actions and use certain tools to execute them. MINDSET What happens in people’s minds; their values and beliefs; at the top and across the organization. Without the right mindset or shift therein, strategy and implementation will remain unsuccessful. BEHAVIOR In the end, it is people’s behaviors, habits and routines that need to change. Not addressing these will not bring the success you want. Therefore, also behavioral change requires dedicated attention. Unfortunately, there are not many places where you can develop all four skills. It is for this very reason that Timothy Tiryaki and I have developed the Certified Strategy & Implementation Consultant (CSIC) program. It is carefully designed around the four drivers so that you develop all the skills required to be an effective consultant. Our next cohort starts on February 7th and there are still a few spots left. If you have at least 10 years of experience, 5 of which in a facilitating, coaching or managing role, and aspire to enhance your strategy and implementation skills, this program may be for you. Visit our website strategy.inc for all information and registration. Are you ready to develop the skills to master all four drivers? #strategicleadership #changemanagement #growthmindset

Let's talk about "disability simulation" activities. You've likely heard about or participated in them. They involve having nondisabled people try to push a wheelchair around, put on a blindfold, or pop in a pair of earplugs with the intention that it'll bring about more empathy and awareness toward the disability experience. The problem? These activities can do way more harm than good. It's essentially playing a game of pretend with an identity, and it completely ignores the nuances that come from lived experiences. In many cases, simulating disability can have the opposite of the intended effect to promote genuine understanding, instead evoking confusion, fear, and pity. Skift Meetings recently sang the praises of disability simulations hosted by PCMA as a way for event planners to learn how to make events more inclusive. (I'm sharing the article only for context, not because I wish to promote it.) They recommended having nondisabled planners use a wheelchair in an event space as a "top tip" for ensuring an environment is accessible. Please, DO NOT take this advice. An hour of a supposedly "immersive" and "experiential" activity barely offers a glimpse into the nuanced day-to-day experience of navigating the world as a disabled person who uses a custom piece of mobility equipment. Disability is a part of me, and how I get around is intrinsic to my existence. The disability community constantly advocates for access and repeatedly shares insights based on what we know about inhabiting our minds and bodies. Event organizers shouldn't have to "try on" a disability like a new pair of shoes in order to take us at our word about accessibility needs. Especially considering that it's Disability Pride Month, it cuts just a little bit deeper knowing that a major organization is being so willingly reductive toward disability under the guise of promoting accessibility and inclusion. The best way to ensure accessible events? Simple: hire disabled accessibility consultants as part of your planning process. Instead of trying to roll a mile in my chair, please move alongside me and I'll gladly be your guide. #DisabilityInclusion #DisabilityAwareness #DisabilityPride #DisabilityPrideMonth #Accessibility #A11y #EventPlanning #MeetingPlanning #LinkedInTopVoices

Here's how to simplify your pitch and 10x your sales: 1. Talk less, sell more. Short sentences = more sales. Hemingway once bet he could write a story in 6 words that'd make you feel something: "For sale: baby shoes, never worn." Your pitch should pack the same punch. 2. Complexity is for people who want to feel smart, not be effective. The worst salespeople make simple things sound complicated. The best make the complex simple. 3. Complexity says, "I want to feel needed." Simplicity limits to only what is needed. 4. Read your pitch out loud. I remember when I'd asked my COO to read the manuscript of my book. He chose to do it aloud. All 258 pages. Ears catch what eyes miss. The final version reads like butter. 5. "Be good, be seen, be gone." This was the best sales advice I ever got. - Good: Deliver value - Seen: Make an impression - Gone: Don't overstay your welcome People buy from those they remember, not those who linger. 7. Speak like your customer, not a textbook. We like to sound sophisticated. "We create impactful bottom-line solutions." But we like to listen to simple. "We help small businesses explode their sales." Which one would you buy? 8. Every word earns its place. Your pitch should be lean and mean. - Be specific - Avoid cliches - Check for redundancy - If it doesn't add value, cut it out 9. Abstract concepts bore. Concrete examples excite. ❌ "We'll increase your efficiency." ✅ "We'll save you 10 hours a week." Paint a picture. 10. People buy on emotion & justify with logic So tap into their feelings: - Fear of missing out - Desire for success - Need for security Then back it up with facts. 11. The "Grandma Test" never fails. If your grandma wouldn't get your pitch, simplify it. No jargon. No buzzwords. Just plain English. 12. Benefits > features. Dreams > benefits. ❌ "Our group hosts 10+ events per year." ✅ "Our program helps you close deals." 🚀 "Let's take back Main Street through ownership." 13. Use power words: - You - Free - Because - Instantly - New These words grab attention and drive action. Two final things to keep in mind... Simplicity isn't just for sales. Apply these principles to: - your business operations - your thinking processes - your next investment - your relationships - your to do list Sales isn't just for car dealerships. You pitch when you: - Negotiate a raise - Interview for a job - Post on social media - Hire someone for a job - Talk to an owner about buying their biz If you found this useful, feel free to share for others ♻️

Consulting sells AI, but bills like 1990. Reality caught up to the narrative. Booz Allen's latest results beat expectations: → Revenue: up 12.4% to $12 billion → Adjusted EPS: up 15.5% to $6.35 → GenAI revenue: nearly $800 million, up 30% → Record backlog: $37 billion, book-to-bill of 1.39 Yet the stock crashed 20% in the last 10 days, erasing $3.5 billion in market value. Why? Because beneath strong headline numbers, Goldman Sachs' May 28 downgrade exposed a critical vulnerability: Despite claiming to be an "advanced tech company" with $800M in AI revenue, Booz Allen still derives 98% of its business as a government contractor billing by the hour. The company recently announced 2,500 job cuts (7% of their workforce) due to the Trump administration’s crackdown on federal contracting. I dug into their yearly report to learn more. How Booz Allen Actually Makes Money: The Revenue Reality: → 98% from U.S. government ($10.5B of $10.7B total) → Defense (47%), Civil (34%), Intelligence (17%) → Only 2% commercial revenue 79% of revenue ($8.4B) comes from billing hours: → 55% cost-reimbursable contracts → 24% time-and-materials → Only 21% fixed-price CFO Matt Calderone confirmed their historical growth formula on their earning call: "headcount growth plus 3%". Despite AI claims and the CEO pushing outcome-based contracts for years, only 21% of revenue is fixed-price. Government procurement keeps them billing hours. The Labor Reality: → 36,000 employees driving revenue → 2,500 layoffs (7%) announced after DOGE reviews → Revenue explicitly tied to headcount → When contracts shrink, people get fired The math doesn't lie. You can't justify tech multiples when: → Your entire business depends on one entity → Growth requires hiring more people → Government owns rights to most developed IP  → Margins collapse when contracts face pressure Every firm claiming AI transformation faces this reality: → They pitch cutting-edge technology → They showcase AI capabilities → They demand premium valuations → But their economics remain tied to billable hours When CEO Rozanski said they're "restructuring to match anticipated demand," he revealed the core problem: Revenue directly tracks headcount. Tech companies scale through IP. Traditional consulting scales through hiring - and shrinks through firing. The 20% crash wasn’t about a single quarter. It was Wall Street repricing Booz Allen’s reality - a government contractor at the mercy of federal budgets, not a tech innovator building scalable IP. First, the narrative cracks. Then, the analysts notice. Finally, the market reprices. Booz Allen completed the cycle in 10 days. For consulting firms still betting their "AI story" covers their hourly reality: You're not different. You're just next.