FynOps’ Post

🚀 The Generative AI Market is Exploding! 🚀 Projected to soar to $1.3 trillion by 2032, up from just $40 billion in 2022, the generative AI market is set for a 42% CAGR over the next decade! 🌟 Major players like Amazon, Microsoft, Google, and Nvidia are leading the charge as businesses increasingly adopt AI-driven solutions across sectors like healthcare, media, and technology. Get ready for a transformative shift in how we work and create! 💡✨ #GenerativeAIMasters #GenerativeAI #AI #TechTrends #Innovation #FutureOfWork #ArtificialIntelligence #MarketGrowth #CloudComputing #Healthcare #Media #Technology

Is your organization ready to harness the full potential of Generative AI? Struggling to unify data and make strategic decisions that drive real results? InnoWave has the expertise to guide you. We help businesses transform data into actionable intelligence by leveraging cutting-edge AI capabilities, tailored machine-learning solutions, and Intelligent Process Automation to optimize operations and drive growth. What We Offer: - Unified Data & AI Solutions: Seamlessly integrate diverse data sources to unlock cohesive insights and informed decisions. - Generative AI Implementation: From strategy to execution, we ensure AI delivers value across your organization. - Strategic Tech Partnerships: Collaborate with industry leaders like Azure/OpenAI and AWS/Anthropic. Our Commitment: - Ethical AI practices that align with the EU AI Act and AI.Gov regulations. - Continuous monitoring for long-term excellence and measurable improvements. - A dedicated, certified team with a track record of success across global projects. InnoWave is driving the Data & AI revolution. Let’s shape the future together, get in touch here: https://lnkd.in/gPRANc5u #DataIntelligence #AITransformation #GenerativeAI #InnoWave

“AI is no longer a technological question—it’s a present reality. The technology is here, mature and ready to be harnessed. The real challenge is how quickly companies can internally adopt and integrate these new possibilities. Those organisations that move swiftly to embrace AI will unlock tremendous value and gain a significant competitive advantage. It’s no longer about waiting for the next big tech breakthrough; it’s about leveraging what’s already at our fingertips” - David Österlindh, CEO, Nexer Insight. With tools like Azure Databricks and Microsoft Fabric, these innovations are ready to transform your business by driving innovation and creating new opportunities. At Holisticon Insight, we’re committed to leveraging these advancements to help you realise your ideas, capture value, and save costs, providing practical benefits you can rely on. The future of AI is here, and it’s about making the most of the technology we have. Let’s continue to drive customer value and lead the way in innovation. 🚀 #AI #AzureDatabricks #MicrosoftFabric #GenAI #nexerinsight

Generative AI is transforming the way we work and innovate, with the potential to boost the U.S. economy by $3.8 trillion by 2038. A new white paper from Accenture and Microsoft explores the current state of gen AI and how it is fueling advancements across industries—from healthcare to travel to clean energy. Innovations like open-source models and reduced input costs are making generative AI more accessible and delivering real-world benefits like higher wages, lower consumer costs, and new products and services across industries. To fully realize these benefits, we must invest in a skilled workforce, scalable infrastructure, and trusted policy frameworks.  Read more about how generative AI is empowering people, businesses, and society to achieve more: https://lnkd.in/g5Vyf8iF  #GenerativeAI #ResponsibleAI #DigitalSecurity 

2024 AI report that you don’t want to miss 🔥 Kelvin Mu’s latest report is a must-read breaking down the biggest AI advancements of the year and offering a clear look at what’s ahead for 2025. It consists of: 1) The AI stack: insights across Infrastructure, Models, Tooling, and Applications. 2) Trends of 2025: → AI infrastructure: growth in specialized data centers, edge computing, and challengers to the cloud giants. → Smarter models: more efficient small language models (SLMs) and multimodal breakthroughs like text-to-video. → Tooling evolution: rising use of Retrieval-Augmented Generation (RAG), in-house AI builds, and AI agents. → Enterprise adoption: GenAI becoming essential for coding, customer support, and industry-specific solutions. → The big picture: sustainability challenges, China’s rapid AI growth, and a shift toward specialized applications. 3) 200+ noteworthy startups in different segments: from developing to healthcare. Check out the full report here: https://lnkd.in/djW2RQ9F Thank you, Kelvin Mu, for this incredible deep dive!

Evaluating the Economic Viability of Gen AI Models 💡💰 When it comes to choosing the right Generative AI (Gen AI) model, it's important to look beyond just the price tag. Here are key parameters to evaluate the economic viability of these models: 1.Cost per Million Tokens: High-end models like GPT-4 can cost up to $75/million tokens, while mid-tier models like Meta Llama are much more affordable. Choose wisely based on your usage. 2.Performance vs. Cost: Are you paying for performance you don’t need? Mid-range models often offer enough capability for less complex tasks at a fraction of the price. 3.Token Efficiency: Efficient models that use fewer tokens can significantly reduce costs without compromising output quality. 4.Compute & Infrastructure Costs: Consider the costs of hosting models in-house vs. using API services—each has its trade-offs. 5.Scalability: Can the model grow with your business? High token usage can quickly lead to prohibitive costs for more expensive models. 6.Customization & Fine-Tuning: Not all tasks need fine-tuned models. Use pre-trained ones where customization isn't critical. 7.Latency: Faster models may be necessary for real-time applications, but for others, slower, more affordable models might suffice. 8.Compliance & Data Privacy: Ensure the model meets industry standards like GDPR or HIPAA, especially in sensitive industries. By weighing these factors, businesses can optimize their AI investment and avoid overpaying for features or performance that aren't necessary. #GenAI #CostOptimization #AIModels #DigitalTransformation #AIROI

Exciting news from Microsoft, as they expand their commitment to AI with an ambitious future plan! They've recently enlisted DeepMind co-founder, Mustafa Suleyman, as CEO of their AI technology. One key pain point in AI, often overlooked, is the transparent, responsible problem-solving with a people-focused approach. As Microsoft builds its biggest investment outside the US, a groundbreaking AI hub in London, the plan is to mindfully develop technologies that balance efficiency, user experience, and environmental impact. Wondering how AI can strategically streamline your operations and uplift customer experience, all while preserving the planet? Feel a bit overwhelmed and uncertain about the capabilities and implications of AI? Reach out to us at administrator@thesingularitydaily.com, and let's navigate the world of AI innovations together. #AI #Innovation #TechNews #Microsoft

Generative AI Bible: The ultimate guide to genAI disruption The 122-page report covers: - The generative AI boom a decade in the making - The current genAI landscape and the players competing in each market - The latest moves from big tech firms like Microsoft, Google, Nvidia, Meta, and Apple - The race to dominate genAI infrastructure, plus the latest on closed vs. open-source development - GenAI opportunities for healthcare, financial services, and retail - The 50 most promising generative AI startups to watch - The emerging trends that will shape the future of generative AI Source: https://lnkd.in/dyW6DESp

🌟 Empowering AI Innovation 🌟 At last month's #GenAISummit, we explored the transformative potential of generative AI. Today, we spotlight a game-changing trend in AI: smaller, efficient models are reshaping the landscape. 🔹 What’s happening? AI leaders are turning to optimized models like Low-Rank Adaptation (LoRA) and Quantization, which are faster, more efficient, and accessible to startups and individuals. These innovations reduce hardware and cloud costs, ensuring AI is available to more creators and industries. 🔹 Why it matters? Smaller models open doors for customization in fields like healthcare, finance, and legal, while keeping data local and secure. This aligns with our summit’s vision of inclusive and sustainable AI growth. We’re inspired to see how innovation continues to flourish. How are you planning to leverage these advancements in your work? #AI #GenerativeAI #Innovation #TechTrends #SustainableAI #GenAISummit

Jevons Paradox makes this AI cycle different? i.e. no more cycles, instead, exponential growth? With all the investment dollars chasing the AI infra,I often hear that there's a looming oversupply of #GPUs. Jevons Paradox says otherwise. We're looking at exponential growth in demand for compute. https://lnkd.in/gAJcmCn8