Friederike Reuter

Does AI have limited superpowers? ModuleQ founder David Brunner and co-founder Anupriya Ankolekar believe so. Here’s why: 🧠 LLMs may appear to articulate themselves logically and analytically, but lack critical thinking skills, as found in two separate studies by Boston Consulting Group (BCG) and Module Q. 🧠 AI only serves a complementary role in the modern-day. While it can augment humans in our working lives, it is only as valuable as the knowledge that it curates and diffuses. Read the FutureMatters op-ed 👇 𝙁𝙪𝙩𝙪𝙧𝙚𝙈𝙖𝙩𝙩𝙚𝙧𝙨 𝙞𝙨 𝙖 𝙥𝙡𝙖𝙩𝙛𝙤𝙧𝙢 𝙛𝙤𝙧 𝙩𝙝𝙤𝙪𝙜𝙝𝙩 𝙡𝙚𝙖𝙙𝙚𝙧𝙨, 𝙥𝙧𝙖𝙘𝙩𝙞𝙩𝙞𝙤𝙣𝙚𝙧𝙨, 𝙖𝙣𝙙 𝙞𝙣𝙙𝙪𝙨𝙩𝙧𝙮 𝙥𝙡𝙖𝙮𝙚𝙧𝙨 𝙩𝙤 𝙨𝙝𝙖𝙧𝙚 𝙩𝙝𝙚𝙞𝙧 𝙞𝙣𝙨𝙞𝙜𝙝𝙩𝙨 𝙤𝙣 𝙚𝙢𝙚𝙧𝙜𝙞𝙣𝙜 𝙤𝙥𝙥𝙤𝙧𝙩𝙪𝙣𝙞𝙩𝙞𝙚𝙨 𝙖𝙣𝙙 𝙘𝙝𝙖𝙡𝙡𝙚𝙣𝙜𝙚𝙨 𝙞𝙣 𝙩𝙤𝙙𝙖𝙮'𝙨 𝙬𝙤𝙧𝙡𝙙. 𝘼𝙥𝙥𝙡𝙮 𝙩𝙤 𝙗𝙚 𝙖 𝙘𝙤𝙣𝙩𝙧𝙞𝙗𝙪𝙩𝙤𝙧: https://lnkd.in/eKpgaz-R Navin Suri | Sopnendu Mohanty / 漠汉帝 / 模範帝 / सोपनेंदु / ସୋପ୍ନେନ୍ଦୁ | Rebecca Martin | James Boey | Pat Patel | Ming En Liew | #FutureMatters

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The AI Advantage in Winning Tech Talent The tech talent battlefield is more competitive than ever, with employers fighting for the brightest minds. How can companies rise above? In his latest Forbes article, our CEO ValueMatrix.AI, Aditya Malik ⚡, explores leveraging AI-powered employer branding as a powerful strategy. With AI recruitment tools now driving talent acquisition, Aditya outlines how companies can optimize their digital presence to "hack" algorithms and boost visibility with ideal candidates. Key tactics include defining a compelling employer value prop, using AI-friendly skills nomenclature in job descriptions, and publishing branded content spotlighting your tech stack. "Companies can increase their 'magnetic' effect by optimizing presence to match attributes AI models seek." Read his full insights live at the Forbes Technology Council 👇 https://lnkd.in/dxz823pu #TechTalent #EmployerBranding #AI #Recruitment #HRTech

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Unleashing the Power of AI: Join Ferdinand H. on the "Make Data & AI work" talk at the IT-Verlag Conference! 🤖 🚀 Join us as we delve into the transformative power of AI and data on how to leverage the economic potential of data and AI. In the era of generative AI, businesses are at the key point of unprecedented opportunities, revolutionizing industries and economies alike. Our session aims to demystify how organizations can harness the economic potential of AI, with a particular focus on generative AI. Through real-world case studies, we'll illustrate the successful integration of AI and data within companies, providing actionable insights for your business journey. Find out more about our expertise and offerings here: https://hubs.ly/Q02xh_5Y0

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Generative AI: Beyond Early Adoption - What Now? A recent INSEAD survey revealed that over half of organizations are already using generative AI tools. This highlights a significant shift towards AI adoption. However, the question remains: How can businesses move beyond initial adoption and maximize the value of generative AI? Here are some key considerations: Focus on Specific Use Cases: Don't just implement AI for the sake of it. Identify areas where generative AI can offer a clear advantage, such as product design, content creation, or data analysis. Invest in Training & Expertise: Building an internal team with AI literacy or collaborating with experts can bridge the knowledge gap and ensure effective implementation. Data Quality is Paramount: Generative AI thrives on high-quality data. Ensure your data is well-organized, clean, and relevant to avoid biased or inaccurate outputs. By taking a strategic approach and prioritizing human-AI collaboration, organizations can move beyond the hype and unlock the true transformative potential of generative AI. Read more: https://lnkd.in/gDNzhM7u #GenerativeAI #AIAdoption #BusinessStrategy #INSEAD #AIInnovation

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Think your operations are at peak efficiency? Our research begs to differ. 👀 ⚙️ Discover the underestimated potential of genAI that many COOs might be missing. It's all about smarter decision-making, fostering innovation, and ushering in a new era of efficiency. Dive into tools like Blue Prism, IBM Watson Studio, CommunicationLibrary, and OpenAI - it's time to level up your operations! 🔝🚀 #AI #COO #BusinessOperations #Innovation #Efficiency #DigitalTransformation #FutureOfWork #AIinBusiness #OpenAI #IBM #BluePrism

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Can Google maintain its position as the undisputed heavyweight champion of information? Can giants like Salesforce maintain an edge and can big pharma truly embrace AI? In the first of a new series, ‘AI and the innovator’s dilemma’, James Dowey, co-head of the Global Innovation team, discusses how artificial intelligence is driving innovation and creating new industries, while also posing a competitive threat to companies on the wrong side of disruption. Read more: https://bit.ly/3UIORWM Capital at risk. This should not be construed as investment advice. #Salesforce #disruption #AI

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A thriving AI ecosystem requires tools that aren’t just fast and cheap, but an ecosystem thoughtfully shaped in the best interest of all which necessitates the democratization and decentralization of the AI ecosystem itself, writes Stacey Rolland. ✔️ We are now collectively focused on preventing equitability gaps within emerging technologies at these early stages of the new AI revolution. ✔️ A monopolized AI market could lead to regulatory capture, in which the few, most powerful entities are able to use their power to influence public policy in their own mold. ✔️ Public policymakers can play a significant role in democratizing AI. Read more: https://lnkd.in/eiE6eDVP #AI #technology #policy Srujana Kaddevarmuth Shane Szarkowski, PhD Melissa Metos

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🔍 The secret to better AI products? Human review is making a comeback. Leading tech companies are investing heavily in structured human review workflows for their AI products - from unicorns to Fortune 500s. Why? Because the feedback loop between expert humans and AI systems is proving to be one of the biggest levers for improving product quality. Many companies have created dedicated "AI Product Quality" roles to coordinate this crucial work. Take a look at how top teams are structuring their human review processes and getting better results faster: https://lnkd.in/gnbsPjim #AIProducts #MachineLearning #ProductDevelopment

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🚀 Exciting times for #AI #investors! Discover how Microsoft’s Founders Hub empowers startups like AinoAid™ to leverage #AI and achieve early success. With $150K in Azure credits, licenses for Microsoft 365, GitHub, LinkedIn Premium, and access to AI models like GPT-4, startups receive unparalleled technical support and mentorship. This program boosts innovation and allows founders to retain more equity. “We want to help new Finnish software companies right from a promising idea onwards. Through the program, startups get access to a large number of Microsoft technologies that allow them to develop and test their own services and select suitable solutions for them to base their business on. In addition, we offer technical support and a global mentoring network,” says Tarja Jernström, Commercial Partner Lead at Microsoft. Dive into the journey of AinoAid™ and explore how you can benefit as an #investor in AI. 👉 Read more: https://lnkd.in/dcD727Sd

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While centralized management may be more efficient, it is less scalable - a point underlined by McKinsey's research. Our own experience has highlighted the critical role of strong leadership and close alignment between executives and C-level management, especially in the fast-paced world of Generative AI. Many development teams have encountered challenges when trying to integrate Generative AI projects into their usual workflows. But here's the thing: Generative AI operates at a very different level from traditional software engineering. The field is moving fast, with new research and tools emerging all the time. That's why we strongly believe in dedicated teams for Generative AI. The fact remains that the unique requirements of Generative AI require dedicated teams for optimal performance, not integration into existing units. The move to dedicated Generative AI teams has significantly improved overall performance, moving away from cross-functional teams to those with specialized roles, such as Full-Stack Generative AI engineers, who focus on both R&D and integration work. And it's not just about output; it's also about quality, speed and reusability. But here's the kicker: this specialized approach isn't set in stone. We're looking to a future where Generative AI is as easy to use as plugging in an API. Imagine that - even Full-Stack developers can dive into Generative AI without breaking a sweat. At WebLab Technology, we're all about staying ahead of the curve. That's why we have dedicated Generative AI teams leading the way. We're ready for the next phase, when Generative AI becomes accessible to everyone.

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With $11.9 million in funding, Dottxt tells AI models how to answer As we’ve reported before, enterprise CIOs are taking generative AI slow. One reason for that is AI doesn’t fit into existing software engineering workflows, because it literally doesn’t speak the same language. For instance, LLMs (aka large language models) require a lot of cajoling to deliver valid JSON. That’s where a U.S.-based startup called Dottxt comes in, with the promise to “make AI speak computer.” The company is led by the team behind the open source project Outlines, which helps developers get what they need from ChatGPT and other generative AI models without having to resort to crude tactics like injecting emotional blackmail into prompts (“write the code or the kitten gets it!”). Software libraries such as Outlines, a Python library, or Microsoft’s Guidance, or LMQL (aka Language Model Query Language), make it possible to guide LLMs in a more sophisticated way than mere prompt hacking — using an approach that’s known as structured generation (or sometimes constrained generation). As the name suggests the focus of the technique is on the output of LLMs, more than the input. Or, in other words, it’s about telling AI models how to answer, says Dottxt CEO Rémi Louf. The approach “makes it possible to go back to a traditional engineering workflow,” he told TechCrunch. “You refine the grammar until you get it right.” Dottxt is aiming to build a powerful structured generation solution by being model-agnostic and offering more features — and, it says, better performance — than the open source project (Outlines) it was born out of. GPT-maker OpenAI recently introduced a form of structured generation which it calls Structured Outputs — and it gave a nod to Outlines as part of its “inspiration.” Louf, meanwhile, sees Outlines’ popularity as a sign that there is demand for another flexible approach with more bells-and-whistles. And investors seem to agree: Dottxt has raised $11.9 million in a matter of months. The startup pulled in a $3.2 million pre-seed round led by deep tech VC firm Elaia in 2023, followed by an $8.7 million seed led by EQT Ventures this August. In the interval, Louf and his co-founders have been focused on working to prove that their approach doesn’t impact performance. During this time demand for open source Outlines has exploded; they say it’s been downloaded more than 2.5 million times — which has encouraged them to think big. Hugging Face CTO Julien Chaumond, who is an investor in Dottxt, recently dubbed structured generation “the future of LLMs.” So the hype is reaching down into this segment of the GenAI tech stack too. With other tailwinds such as AI agents and the rise of smaller AI models, Dottxt’s adoption bet could pay off. “Everyone will be using structured generation in a few years, there is no doubt about that,” Louf predicted. https://lnkd.in/dSNa2dti

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Europe’s Tech Landscape - The Facts 🚀 Europe’s tech workforce has soared to 3.5 million and is on track to match the U.S. in five years. 👩‍💻 Despite the growth, women still represent just 34% of tech talent, down slightly from 35% in 2015. 💼 Since 2015, 7x more talent works in venture-backed firms, and startups raised $426 billion - nearly 10x the previous decade. 🌱 21% of funding raised in Europe in 2024 went to sustainability-focused companies - double the U.S. 🤖 The UK leads Europe in AI with 60,000 active roles, a 5x increase from 2015. Source: Atomico's State of European Tech Report - we thought we'd save you the 200 page read 😉 #EuropeanTech #Progress #AI

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Big Tech and startups alike are keenly interested in tracking our habits. Whether it be with watches, rings, pins, or glasses, these devices draw in customers with promises of understanding of their health, habits and selves, with AI potentially supercharging these capabilities. But for tech firms, your data may be more valuable than the money made from selling devices themselves, experts told Patent Drop. “It's all about, how can we take some of the everyday items that we're all already wearing, and get data from them,” said Thomas Randall, advisory director at Info-Tech Research Group. “It's a great way to understand how humans behave and what we respond to. If you've got that information, that is a gold mine for a whole range of other use cases.” https://lnkd.in/g-Gm9zpt To get to know the world of tech a little better, check out Patent Drop: https://lnkd.in/gCkSHGsA

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For #startups in the Generative AI sector, collecting high-quality training data is becoming increasingly difficult, as many creators block crawlers from accessing their information. Business Research Insights predicts that the market for AI training data will grow from $2.5 billion to $30 billion over the next decade 📈. As a result, training models are also getting more complex and expensive.  These significant upfront costs make it challenging for generative AI startups to achieve profitability. To attract #investors, AI startups must demonstrate innovative strategies for cutting costs, acquiring effective data, and developing sustainable revenue models. ☝ At JetSoftPro, we leverage our expertise in #AI and Generative AI solutions to help startups navigate these challenges. We can also assist you in crafting a compelling pitch that effectively communicates your value to investors, helping you secure the funding you need to succeed. Let’s discuss how JetSoftPro can support you in a personalized consultation today! 🔗 https://lnkd.in/drmyGugK

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🚀 AI in Product Development: Navigating the Future with Generative AI 🚀 In an era where AI can generate entire codebases and deep fakes are indistinguishable from reality, product development is experiencing a seismic shift. At a recent product meeting, we delved into these transformative themes reshaping our industry. By 2025, the World Economic Forum predicts that 97 million new roles will emerge due to the synergy between humans, machines, and algorithms. This underscores the urgency of adapting our product development strategies. Explore key themes revolutionizing how startups, product managers, designers, and engineers approach their craft in our latest blog post. From AI's transformative power to the intricacies of value attribution, we cover it all. 🌟 Key Highlights from the blog: 1. Generative AI: The Innovation Accelerator - Tools like OpenAI's GPT-4 are fundamentally changing how we conceive and execute ideas. 2. Information Overload and the Trust Crisis - Products that effectively filter, verify, and contextualize data are increasingly valuable. 3. The Rise of In-House Development and AI-Driven Customization - Companies are leveraging AI and low-code platforms for greater control and customization. 4. Demand for Flexible, Multi-Purpose Enterprise Solutions - Versatile tools that address multiple needs across departments are in high demand. 5. AI Benchmarking and Optimization: The New Frontier - Effective benchmarking and optimization systems are crucial for performance and cost management. At Perigon, we're committed to integrating AI capabilities, enhancing self-serve features, developing robust value attribution tools, and exploring innovative pricing models. 🔗 Read more about how these themes are shaping the future of product development: https://lnkd.in/gzuygDCJ Join the conversation and let's drive innovation together and shape the future of technology. 💡 #AIinProductDevelopment #GenerativeAI #TechInnovation #ProductDevelopment #Perigon

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🌟 New Blog Post Alert! 🌟 Unlock Growth: M&A as a Strategy for Tech Scale-Ups Dive into our latest insights on how mergers and acquisitions can be game-changers for tech scale-ups. Learn strategies to accelerate growth, strengthen market position, and drive innovation. 🔗 Read the full blog here: https://lnkd.in/gWTAYUZx Have questions or thoughts? Drop them in the comments below! #MergersAndAcquisitions #MarketGrowth #TechInnovation #ScaleUpSuccess #StrategyLabs

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To make the most of #genAI strategic alliances, companies should focus on three areas: depth of #collaboration, interplay of providers, and boundaries/independence. https://smpl.is/96p26 #artificialintelligence #partnerships #technology #businessgrowth #innovation

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