AI predictions for 2040 at VCII

Nice concise introductory 42 pages of AI

The BigAI@MIT Conference highlighted the incredible opportunities and pressing challenges of GenAI, capturing the moment perfectly: we’re at the “gradually, then suddenly” stage of adoption. The article identifies key hurdles: – Upskilling millions to work with AI – Scaling pilots into enterprise-ready systems – Tackling misinformation, bias, and compliance risks At Trustwise, we’ve seen these challenges firsthand — they’re why we built Optimize:ai. Companies need tools to navigate AI’s 4 top challenges: cost, safety, alignment, and latency. How Trustwise addresses them: 1️⃣ Cost: Optimizing token usage with intelligent model selection, caching, and scaling, cutting costs by up to 80% 2️⃣ Safety: Ensuring robust defenses against hallucinations and data leakage with stress-testing and red teaming 3️⃣ Alignment: Seamlessly integrating compliance with frameworks like NIST AI RMF, EU AI Act, and GDPR into AI pipelines 4️⃣ Latency: Reducing response times through hyper-parallelized architectures for real-time efficiency In a deployment with a global bank, we cut carbon emissions by 64%, achieved 100% compliance, and drastically reduced operational costs — all without compromising performance. As MIT’s article states, scaling AI responsibly is an optimization problem. Trustwise helps enterprises innovate confidently while balancing trade-offs. #GenAI #generativeAI #TrustworthyAI #AI MIT Initiative on the Digital Economy

“In the age of AI, data is the new currency. However, to truly harness the power of AI, organizations must prioritize 𝐝𝐚𝐭𝐚 𝐠𝐨𝐯𝐞𝐫𝐧𝐚𝐧𝐜𝐞.” 💡 Strong data governance frameworks ensure that data is accurate, secure, and compliant with regulations, which is essential for informed decision-making and successful AI implementation. Effective data governance builds trust and enhances the quality of insights generated from AI systems. By establishing clear policies and accountability, businesses can confidently navigate the complexities of AI, driving innovation while mitigating risks. Key aspects of data governance for AI adoption include: 📌 𝐃𝐚𝐭𝐚 𝐐𝐮𝐚𝐥𝐢𝐭𝐲: Ensuring the accuracy and consistency of data to support reliable AI outcomes. 📌 𝐒𝐞𝐜𝐮𝐫𝐢𝐭𝐲 𝐚𝐧𝐝 𝐂𝐨𝐦𝐩𝐥𝐢𝐚𝐧𝐜𝐞: Protecting sensitive data and adhering to regulations to build trust with stakeholders. 📌 𝐀𝐜𝐜𝐨𝐮𝐧𝐭𝐚𝐛𝐢𝐥𝐢𝐭𝐲 𝐚𝐧𝐝 𝐓𝐫𝐚𝐧𝐬𝐩𝐚𝐫𝐞𝐧𝐜𝐲: Establishing clear roles and responsibilities to enhance decision-making processes. 📌 𝐂𝐮𝐥𝐭𝐮𝐫𝐚𝐥 𝐑𝐞𝐚𝐝𝐢𝐧𝐞𝐬𝐬: Fostering an organizational culture that embraces data-driven decision-making and AI innovation. By prioritizing data governance, businesses can unlock the full potential of AI and pave the way for transformative growth. Join us at 𝐀𝐈 𝐑𝐞𝐚𝐥𝐢𝐭𝐲 𝐓𝐨𝐮𝐫 on 𝟐𝟐𝐧𝐝 𝐎𝐜𝐭𝐨𝐛𝐞𝐫 to separate myth from reality. We’ll show you how to approach AI strategically, ensuring your business makes informed, impactful decisions. Learn to focus on real business outcomes, not just AI lofty promises.  🔗 𝐑𝐄𝐆𝐈𝐒𝐓𝐄𝐑 𝐇𝐄𝐑𝐄: https://lnkd.in/gDEjT68i #datagovernance #AI #architecture #data #event #Quandatics 

📰 News: 📰 --- 🚀 Norm AI Raises $27 Million for Game-Changing Regulatory Compliance Platform 💼 Hey, fam! Here’s some exciting news in the AI world that caught our attention. Norm AI has just bagged a whopping $27 million in Series A funding to supercharge its AI-driven regulatory compliance platform. 🌟 Let’s break down why this is a big deal: - --$27 million-- raised to expand and refine their AI platform. - This platform automates compliance workflows, making tasks --up to 80% faster--. - Norm AI’s tools can turn regulations into computer code, reducing compliance review times from --days to mere minutes--. John Nay, Norm AI’s founder and CEO, highlighted that we’re at a crucial inflection point in AI capabilities. When leveraged properly, AI can revolutionize the way businesses handle their compliance processes, making them more efficient and accurate. 🧠💡 Sri Viswanath from Coatue, the company leading the funding round, shared immense confidence in Norm AI’s vision to become a transformational AI company, scaling new heights in regulatory compliance. Now, we want to hear from you! What do you think about AI stepping into the regulatory scene? Drop your comments below and let’s get the conversation rolling. Don’t forget to hit that follow button for more insightful updates from Bernier Group! 👇💬 #AIDriven #Digital #AI #Data #SMB #SME #Strategy #Innovation #Business #ArtificialIntelligence #AnniQ https://lnkd.in/ebci6Q-e

In 2024, AI isn't just a buzzword - it's a business imperative. But beneath the hype, companies are grappling with serious challenges: • 73% of businesses have adopted AI • Yet a staggering 77% feel unprepared for its full integration Are you among the silent majority struggling with AI?  The Top 5 AI Adoption Nightmares: 1. Talent Drought: The AI skills gap is widening. Where are all the experts? 2. Data Dilemma: Drowning in data, but thirsty for insights? You're not alone. 3. Ethical Minefield: AI bias and transparency issues keeping you up at night? 4. Legacy Lockdown: Your existing systems refusing to play nice with AI? 5. Regulatory Maze: Feeling lost in the ever-changing landscape of AI regulations? These challenges aren't just statistics - they're real hurdles faced by businesses every day. From healthcare to finance to manufacturing, no industry is immune. Is your AI journey hitting roadblocks? Which of these challenges resonates most with your experience? Share your AI adoption struggles in the comments. Let's illuminate the real issues businesses face in 2024. #AIAdoptionChallenges #BusinessAIStruggle #TechHurdles2024 #AIImplementationIssues #saincube

𝐀𝐈 𝐓𝐫𝐞𝐧𝐝𝐬 𝟐𝟎𝟐𝟓 - 𝐈𝐦𝐚𝐠𝐢𝐧𝐞 𝐚 𝐟𝐮𝐭𝐮𝐫𝐞 𝐰𝐡𝐞𝐫𝐞 𝐀𝐈 𝐬𝐞𝐚𝐦𝐥𝐞𝐬𝐬𝐥𝐲 𝐢𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐞𝐬 𝐢𝐧𝐭𝐨 𝐞𝐯𝐞𝐫𝐲 𝐛𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐬𝐭𝐫𝐚𝐭𝐞𝐠𝐲, safeguarding data, boosting innovation, and even detecting deepfake threats in real-time. This is the vision laid out in Info-Tech’s latest report, "AI Trends 2025," which dives deep into how AI will shape industries in the coming years. The report identifies four key trends for leaders to watch: - 𝐀𝐈 𝐒𝐭𝐫𝐚𝐭𝐞𝐠𝐲: CIOs are at the forefront, crafting AI strategies that align with business goals while upholding responsible, stakeholder-driven principles. - 𝐄𝐱𝐩𝐚𝐧𝐝𝐢𝐧𝐠 𝐀𝐈 𝐄𝐜𝐨𝐬𝐲𝐬𝐭𝐞𝐦: As AI tools become more diverse, companies are focusing on value-driven AI applications, increasingly adopting generative AI through SaaS and APIs. - 𝐑𝐞𝐠𝐮𝐥𝐚𝐭𝐨𝐫𝐲 𝐌𝐨𝐦𝐞𝐧𝐭𝐮𝐦: With regulatory frameworks like the EU AI Act and U.S. policies, the global push for AI governance is intensifying, spotlighting safety and ethics. - 𝐃𝐞𝐞𝐩𝐟𝐚𝐤𝐞 𝐃𝐞𝐟𝐞𝐧𝐬𝐞𝐬: As deepfakes grow more sophisticated, the need for robust defenses—from advanced authentication to employee training—becomes critical to protect data and trust. This report by Info-Tech offers essential insights to prepare for an AI-powered future, blending innovation with the necessary governance for safe and effective AI use. Credit: Info-Tech Research group  #AITools #BusinessTransformation #AI2025 #InfoTech #CIO #CTO

World Economic Forum in collaboration with KPMG has published the "Blueprint for Intelligent Economies – AI Competitiveness through Regional Collaboration" a whitepaper with an ambitious objective: to "provide guidance for nations to achieve a successful AI revolution, irrespective of their level of digital and AI maturity". 🌐 Source: https://lnkd.in/d7Enhzz8 How the blueprint can help drive growth through inclusive AI? - Building the foundations for intelligent economies (Infrastructure, Data, Investment); - Growing new intelligent economies (Adoption in industries, Start-up ecosystems); - Putting people at the heart of intelligent economies (AI Ethics, Workforce Development, Governance). As correctly highlighted "collaboration can be the key to unlocking the success of AI, but we also must recognize that each country and region will follow their own journey..." and about the contribute of this blueprint "... provides a common language and a set of practical resources to support the planning and implementation of robust AI ecosystems across the three layers" (above cited). As you can see, the report relies on: - Interviews and consultations with governments, businesses, academia, and non-profits; - Case studies of national AI policies, infrastructure investments, and digital transformation initiatives; - Global AI ecosystem analysis, including investment trends, digital infrastructure, and AI governance frameworks; - Comparative policy review of existing AI strategies WorldWide. What about the challenges? - No single global AI regulatory body; - Geopolitical divides in AI governance (e.g.: US vs EU regulations vs. China’s AI model governance); - Regulatory fragmentation making cross-border AI innovation difficult. I highly suggest saving the three tables you will find in the whitepaper and mirrored in the comments, related to: 1. Key challenges in building sustainable AI infrastructure; 2. Key challenges in curating high-quality and diverse datasets; 3. Key challenges in establishing guardrails for responsible AI. #ArtificialIntelligence #AI #Innovation #AIGovernance #AIEthics #Blueprint #RaceToAI

A Huge Thank You to the Institute of Directors (IoD) for hosting today’s session on "AI: Introduction, Application, and Governance". I had the privilege of attending a lunchtime talk by Zoe Webster of Authentic Innovations on “Unlocking AI’s Potential”—a timely exploration of AI’s role in Science, Policy, and Media. With the UK Government’s AI Opportunities Action Plan in mind, this discussion was both relevant and thought-provoking. https://lnkd.in/eiXaa3mD Key takeaways that resonated with me: 🔍 AI in Business Growth – Whether we’re developing new AI tools or simply adapting existing ones, it’s clear AI’s impact on scaling businesses is undeniable. 💡 The Shadows of AI Use – Microsoft and LinkedIn have highlighted that 78% of people use AI in the shadows—and that’s just the beginning. We’re at the precipice of a cultural shift driven by AI, one that will redefine how we work and interact. ⚖️ AI Governance & Privacy – As we dive deeper into AI’s potential, it’s crucial we address governance, privacy, and data rights. The ethical considerations around good vs. bad actors must remain at the forefront of every conversation. 🌍 Sustainability in AI – One stat that stood out: It takes 700,000 litres of fresh water to cool a data centre, and by 2027, AI is projected to use between 4.2 - 6.6 billion cubic meters of water. Responsible, sustainable AI isn’t just an option—it’s essential. 🤖 AI + Humans = Actionable Intelligence – Perhaps the most impactful message of the day: AI thrives when paired with human insight. The most successful organizations will be those that blend technology and humanity to create true value. I was also fascinated by emerging concepts like Agentic AI, AI at the Edge, and Immersive Technology—all shaping the future of AI in ways we’re only beginning to understand. What are your thoughts on the role of AI in business, governance, and sustainability? How do you see it evolving in the coming years? Do you feel that the EU AI Act provides a useful framework for ensuring responsible and ethical AI development? #AI #Technology #Governance #Sustainability #Innovation #FutureOfWork #BusinessGrowth

🚀 **Generative AI is Changing the Game!** 🌏 As generative artificial intelligence (GenAI) continues to evolve at lightning speed, it’s crucial for governments to step up and secure the innovation and economic opportunities that come with it. ✅ **Why is this important?** - **Innovation at Risk**: Without strategic policies, we risk falling behind the curve. - **Economic Opportunities**: GenAI presents a goldmine for boosting economies and creating jobs. - **Responsible Growth**: Governments need frameworks to prevent misuse and ensure ethical development. 🛡️ **Key Strategies for Governments**: 1. **Proactive Regulation**: Develop guidelines that encourage innovation while protecting citizens. 2. **Collaboration with Industry**: Work hand-in-hand with tech leaders to maximise benefits. 3. **Investment in Research**: Fund initiatives that explore sustainable GenAI applications. 🌟 We must act now to harness this potential! 👉 ***Read more about how your government can keep pace with GenAI***: [Read the full article here](https://lnkd.in/giBekBj6) 🔗 #GenerativeAI #Technology #Governance #Innovation #AI #EconomicGrowth #FutureOfWork

"AI innovation isn’t just a global opportunity—it’s a local advantage. Sovereign AI is changing the game for nations and businesses alike, requiring trust, control, and market power at every level."   From re-shoring call centre jobs to unlocking new markets with real-time multilingual audio AI models, Sovereign AI is reshaping how nations and enterprises compete in an interconnected world. By prioritising local data governance and tailored solutions, here’s how Sovereign AI is revolutionising industries—and the future of competition: 🔐 Data Sovereignty & Security: With privacy becoming a top priority, Sovereign AI ensures sensitive data never leaves national borders. It also helps organisations secure their AI supply chains and mitigate risks from targeted cyber threats. For businesses and governments, this means building trust with both citizens and customers. 🌐 Soft Power through Innovation: Imagine the opportunities created by AI systems built to natively understand local languages and cultures. Sovereign AI opens doors to underserved markets, empowers collaborative projects across regions, and expands economic influence far beyond borders. ✅ Compliance as a Competitive Advantage: Industries like healthcare, finance, and logistics face mounting regulatory pressure. Sovereign AI will see AI systems designed to adapt to national regulations—giving businesses the confidence to lead in their sectors while staying compliant. 📊 Localized Insights for a Market Edge: Global companies often miss what makes local markets tick. AI models trained on domestic data offer unparalleled insights—whether it’s forecasting consumer behaviours, optimising supply chains, or refining sales strategies. Sovereign AI’s localised approach delivers targeted results every time.   Sovereign AI isn’t just a technological decision—it’s a strategic advantage driving economic growth, innovation, and security for both nations and enterprises. Are you considering the ramifications of Sovereign AI to your national and enterprise strategies? Click https://lnkd.in/gKnWc5dx to read our full analysis of how Sovereign AI impacts data governance, partnerships, and long-term investment strategies. #SovereignAI #DataSovereignty #AIInnovation #BusinessStrategy