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.

🔬 How To Run UX Research In B2B and Enterprise. Practical techniques of what you can do in strict environments, often without access to users. 🚫 Things you typically can’t do 1. Stakeholder interviews ← unavailable 2. Competitor analysis ← not public 3. Data analysis ← no data collected yet 4. Usability sessions ← no users yet 5. Recruit users for testing ← expensive 6. Interview potential users ← IP concerns 7. Concept testing, prototypes ← NDA 8. Usability testing ← IP concerns 9. Sentiment analysis ← no media presence 10. Surveys ← no users to send to 11. Get support logs ← no security clearance 12. Study help desk tickets ← no clearance 13. Use research tools ← no procurement yet ✅ Things you typically can do 1. Focus on requirements + task analysis 2. Study existing workflows, processes 3. Study job postings to map roles/tasks 4. Scrap frequent pain points, challenges 5. Use Google Trends for related search queries 6. Scrap insights to build a service blueprint 7. Find and study people with similar tasks 8. Shadow people performing similar tasks 9. Interview colleagues closest to business 10. Test with customer success, domain experts 11. Build an internal UX testing lab 12. Build trust and confidence first In B2B, people buying a product are not always the same people who will use it. As B2B designers, we have to design at least 2 different types of experiences: the customer’s UX (of the supplier) and employee’s UX (of end users of the product). In customer’s UX, we typically work within a highly specialized domain, along with legacy-ridden systems and strict compliance and security regulations. You might not speak with the stakeholder, but rather company representatives — who regulate the flow of data they share to manage confidentiality, IP and risk. In employee’s UX, it doesn’t look much brighter. We can rarely speak with users, and if we do, often there is only a handful of them. Due to security clearance limitations, we don’t get access to help desk tickers or support logs — and there are rarely any similar public products we could study. As H Locke rightfully noted, if we shed the light strongly enough from many sources, we might end up getting a glimpse of the truth. Scout everything to see what you can find. Find people who are the closest to your customers and to your users. Map the domain and workflows in service blueprints and . Most importantly: start small and build a strong relationship first. In B2B and Enterprise, most actors are incredibly protective and cautious, often carefully manoeuvring compliance regulations and layers of internal politics. No stones will be moved unless there is a strong mutual trust from both sides. It can be frustrating, but also remarkably impactful. B2B relationships are often long-term relationships for years to come, allowing you to make huge impact for people who can’t choose what they use and desperately need your help to do their work better. [continues in comments ↓] #ux #b2b

This is the most underrated way to use Claude: (and it has nothing to do with writing or coding) It's competitive intelligence. Using data that's free, public, and updated every single week. Here's my extract step by step guide: Step 1. Go to claude .ai. Step 2. Select the new Claude "Opus 4.6." Step 3. Turn on "Extended Thinking." Step 4. Pick a competitor. Go to their careers page. Step 5. Copy every open job listing into one doc. (Title. Team name. Location. Full description) Step 6. Save it as one .txt or .docx file. Step 7. Search the company at EDGAR (sec .gov) Step 8. Download its recent 10-K or 10-Q filing. (Official strategy, risks, and financials - all public.) Step 9. Upload both files to Claude Opus 4.6. Step 10. Paste this exact prompt: "You are a competitive intelligence analyst at a rival company. I've uploaded [Company]'s complete current job listings and their most recent SEC filing. Perform a strategic intelligence analysis: → Cluster these roles by what they suggest is being built. Don't use the team names they've listed. Infer the actual product initiatives from the skills, tools, and responsibilities described. → Identify capabilities or teams that appear entirely new — not mentioned anywhere in the SEC filing. These are unreleased bets. → Find roles where seniority is disproportionately high for a new team. This signals executive-level priority. → Cross-reference the SEC filing's Risk Factors and Strategy sections with hiring patterns. Where are they investing against a stated risk? Where did they flag a risk but have zero hiring to address it? → Predict 3 product launches or strategic moves this company will make in the next 6-12 months. State your confidence level and cite specific job titles and filing sections as evidence. Format this as a 1-page competitive intelligence briefing for a CMO." What you'll find: → Products that don't exist yet but will in 6 months. → Priorities that contradict what the CEO said. → Risks they told the SEC but aren't addressing. This is what consulting firms charge $200K for. It took me 10 minutes. I used the new Claude 'Opus 4.6' for a reason: ✦ It read 60 job listing & a 200-page filing together.  ✦ And connects dots across both. ✦ It is superior in thinking and context retrieval. That's why I didn't use ChatGPT for this.

In 2021, I became the first woman to head a unicorn in Israel, AKA Startup Nation. In many parts of the world, women are excluded from even the most basic financial services, so leading a fintech company is far from their reality. United Nations data estimates that 3.8 billion women live in the world, 50% of which are adults. According to the World Bank’s Global Findex Database, 1.4 billion of those 1.9 billion adult women, are unbanked. That’s 73.65%. Visit that statistic again. It represents a disturbing gender gap in financial access, with women being far less likely than men to have bank accounts or access formal financial services. This financial exclusion has personal impact. It diminishes women’s economic empowerment by restricting access to education and limiting their potential for personal growth and independence. It makes women more financially dependent, and therefore, more vulnerable. There's economic impact, too. Research by McKinsey highlights the economic loss due to financial exclusion of women, noting that closing the gender gap in labor force participation could add trillions to global GDP. Financial inclusion isn’t just a matter of equality – ensuring the same opportunities for all. It’s a matter of equity - ensuring women have the tools and access they need to fully participate in the global economy. That’s where technology enters the picture to level the field. The rise of mobile banking is a great example of innovation enhancing financial inclusion. According to a report by the International Finance Corporation, mobile money accounts are more popular among women in regions like Sub-Saharan Africa, where access to traditional banking is limited. Various fintechs provide financial literacy resources, helping women understand financial products, budgeting, and saving strategies. Other solutions include AI-driven platforms that offer personalized recommendations and advice, empowering women to make informed financial decisions. Aside from personal apps and solutions, fintechs can facilitate community-based lending and saving initiatives, allowing women to support each other through group savings or microfinance schemes, fostering a sense of solidarity and shared purpose. This International Women’s Day’s theme is "accelerate action". In my mind, nothing accelerates action like innovation. As we mark International Women's Day, let’s advocate and innovate to enhance financial inclusion for women worldwide. #IWD2025 #financialInclusion Papaya Global

This isn't just another corporate restructuring. It's different this time: → These aren't juniors - they're cutting SENIOR roles → Many have 5+ years of experience → This is happening during peak consulting season Why?: → AI does in minutes what took analysts weeks → Clients now have their own data teams → SaaS platforms replaced implementation work → Premium fees are compressing as analysis gets commoditized The future of consulting: → Small, elite teams replace massive pyramids → On-demand talent replaces fixed benches → Only truly strategic work survives For the Big 4 firms holding onto the old model? EY just showed us their future. The question isn't whether consulting will change. It's whether they can change fast enough.

85% feel anxious stepping in front of an audience. And that’s perfectly normal. But here’s the thing: Leadership isn’t about having the loudest voice – it’s about commanding attention with confidence and clarity. Here’s how to do exactly that - even if speaking in public makes you nervous: 🔹 Grab Attention Fast You only get 10 seconds before people switch off. Skip the “Thanks for having me.” Lead with something bold, surprising, or personal. 👉 Example: “Everything you believe about leadership? It’s likely wrong.” 🔹 Command the Stage Your non-verbal cues speak before you open your mouth. Stand upright, hold eye contact, and pause intentionally. This signals authority - even if you’re nervous inside. 🔹 Slow Down and Stay Clear Anxious speakers often race through words. Slow down. Keep sentences sharp and pause often.  Remember: Impactful communication is about connection, not perfection. 🔹 Create Interaction, Not a Performance Forget memorizing scripts. Instead, invite your audience into the conversation.  👉 Example: “Who here has faced this challenge before?” 🔹 Leverage the BMW Principle True confidence = Body + Mind + Words working in harmony. BODY: Breathe, ground yourself, and use meaningful gestures. MIND: Focus on serving your audience, not impressing them. WORDS: Be clear, avoid fillers, and embrace pauses. 👉 Example: Before stepping up, pause, ground your feet, and remind yourself – they need this message. 🔹 Handle Q&A Like a Leader Q&A often derails weak communicators.  Use the ABC Technique to stay on message: A: Answer briefly. B: Bridge to your key point. C: Communicate with clarity. 🔹 Close with Impact Too many talks fade at the end. Be intentional. End with a single clear takeaway and inspire action.  👉 Example: “If you remember one thing — let it be this: [insert key idea here].” Leadership isn’t about loving public speaking. It’s about making people listen. 💡 What’s your best tip for owning the room? Share it below ⬇️ 📌 Follow me, Oliver Aust, for daily leadership communication insights that make people listen.

We grew an email list from 0 to 500K subscribers in just 10 months. If I were starting from scratch today, here's exactly how I'd do it again: 1) Nail the Lead Magnet: The fastest way to grow your email list is by offering something valuable in exchange for an email. Think of it like this: people won't give up their email for nothing. Create something they can't ignore: a discount, exclusive content, or a tool they can’t find elsewhere. For us, offering free travel guides was a game-changer. 2) Optimize for Opt-Ins Everywhere: Your website, blog, and even social media accounts should work like opt-in machines. For example: - Add pop-ups and fly outs on key pages. - Place CTAs above the fold. - Use scroll-triggered modals when visitors are engaged. We tested endlessly, and this attention to detail paid off big. 3) Tap Into Paid Growth Early: Ads get a bad rep, but when done right, they’re a growth accelerant. We launched targeted ads promoting our lead magnet and built a funnel that turned traffic into email signups. Paid campaigns helped us scale fast while testing which offers resonated with our audience. 4) Partner with the Right People: Collaborations can grow your list faster than any single effort. Whether it’s co-branded giveaways, email swaps, or shoutouts, find brands or creators that share your target audience. A well-executed partnership will unlock exponential growth. One really unique thing we did: We bought a bunch of viral social accounts and rebranded them for our business. This was huge in kickstarting massive and sustainable growth. And we fast-tracked the social proof we needed to build trust and scale quickly. 5) Focus on Quality, Not Just Quantity: A big list is meaningless without engagement. From Day 1, we focused on high-value emails to ensure subscribers opened, clicked, and stayed. Here’s a pro tip: Consistency wins. Sending emails weekly or bi-weekly keeps your list warm and engaged. 6) Build a Content Machine: Pair email growth with an organic content strategy that feeds your funnel. Blog posts, social media, and SEO aren’t just good for traffic—they create trust. The more valuable content you share, the more people will want to hear from you. 7) Leverage Cheap Marketing Channels in Ways Others Haven’t: This is going to ruffle some feathers but we absolutely dominated cold email for user acquisition. To the tune of 6 figure subscriber acquisition. No one was doing cold email for B2C the way we did it. This proved to be the most scalable yet cheapest acquisition channel we had. — To recap: - Offer something valuable for free to grow your list. - Use every channel—paid and organic—to drive opt-ins. - Build relationships with partners who already have your audience. The result? A system that scales. Your list is the one asset you fully own—start building it ASAP!

When I was a first-year lawyer, my partner explained that sometimes clients will come to you with a problem but without a clear scope or task. In those situations, we'd prepare a "reverse brief" to help them define the scope of work, desired outcomes, and next steps. If you need to prepare a “reverse brief” and aren’t sure where to start, here’s an example (and things to include): 1️⃣ Restate the Issues Summarize your understanding of the client’s issues. This shows you’ve listened and ensures you’re on the same page. 2️⃣ Clarify the Task Describe the work you believe you’ve been engaged to do. Be clear on the actions and deliverables (e.g. a formal report, an email advice etc). 3️⃣ Confirm the Outcomes Specify what the client’s goals are / what results you will achieve for the client. 4️⃣ Information / documents to be reviewed Set out the information / documents that you have been provided and will review. When there is a high volume of documents, it may be helpful to list them out, categorize them, and align with the client on what needs to be reviewed in detail. 5️⃣ Outline Next Steps Set out what will happen next and any required actions from the client. Where possible, set out the proposed timelines. 6️⃣ Seek confirmation Ask the client to confirm the brief, or otherwise provide comments on what needs to be changed in the brief. Anything else you would add / change when you’re preparing a reverse brief? ------ If you’re a junior lawyer looking for practical career advice - check out the free how-to guides on my website. You can also stay updated by sending a connection / follow. #lawyers #lawyer #lawstudents #legalprofession

Financial Value of Climate Risks and Opportunities 🌍 Companies are under increasing pressure to reflect climate risks and opportunities in financial decision making. This is essential for embedding sustainability into strategy and unlocking measurable business value. ERM highlights that financial valuation of environmental and social factors enables companies to align investment decisions with long term performance. Value is created through energy efficiency, circular models, responsible sourcing, and workforce inclusion. These actions contribute to resilience, innovation, and cost efficiency. Sustainable products are experiencing significantly higher growth rates than conventional alternatives. Efficiency measures can reduce operating costs by up to 30 percent, while green finance instruments can lower the cost of capital. These gains can be captured directly in financial models and forecasts. At the same time, climate related risks are increasing in scale and frequency. Physical risks already account for over 270 billion dollars in annual damages. Transition risks may result in stranded assets worth hundreds of billions. The broader economic cost of unmitigated climate change could reduce global GDP by up to 18 percent by mid century. ERM presents two complementary approaches. Value creation focuses on capturing upside through efficiency, innovation, and market expansion. Risk mitigation addresses downside exposure by incorporating climate risks into business planning and decision processes. Both require integration of ESG into financial structures. This means applying standard financial tools such as internal rate of return and discounted cash flow to evaluate climate related actions. It also involves including environmental risks in sensitivity testing, pricing models, and capital planning frameworks. Translating these impacts into financial terms enables clearer comparison and stronger governance. Capital markets are moving toward companies that manage climate exposure effectively. Lower financing costs, stronger investor confidence, and increased access to sustainability linked capital are all benefits of a robust ESG integration strategy. Quantifying the financial value of climate related risks and opportunities enables companies to move from qualitative ambition to strategic execution. Those that lead in this area are better prepared to compete, attract capital, and deliver long term results. Source: ERM #sustainability #sustainable #esg #business

TPRM has an identity crisis. Third-party risk management teams are stuck between Security and Procurement. Security says: "Too administrative. Focus on real threats." Procurement says: "Too technical. Just unlock the PO." Nobody's wrong. But everyone's missing the point. TPRM needs both commercial acumen AND technical security expertise. Most organisations force you to pick a lane. What this creates: - Questionnaire theatre nobody reads - Risks "accepted" without understanding - Tools that don't integrate - Zero authority to enforce remediation It's software supply chain security without the software and the security parts. The trade-off you can't escape: Choose productivity? Fast approvals, deals unblocked. But your assessments become rubber stamps. Choose assurance? Deep validation, continuous monitoring. But you bottleneck deals and get routed around. Three things that actually work: Pick your flavour. Are you quick CYA (accept risks, move fast) or enterprise security's second arm (deeper questions, more time)? You can tier—go deep on some, fast on others—but know your default mode. Risk-tier ruthlessly. Your critical vendors (the ones you have zero leverage over) need different treatment than your 200th SaaS tool. Focus deep assessment where you have influence. Accept you can't enforce, so compensate. You can't make AWS change their security model. Build compensating controls on your side instead of pretending vendor assessments will save you. You're not solving a security problem. You're solving a coordination problem with no enforcement power. Act accordingly. #GRCEngineering #TPRM