Teraflow.ai

The future of work isn’t coming - it’s already here. Imagine having an “assistant” that works 24/7, learns instantly, and scales effortlessly. With DaPa, our Digital AI Platform Accelerator, that’s exactly what you get. This is how businesses are slashing costs, boosting productivity, and staying ahead of the competition. Ready to see how AI can transform your #business? 👉 Swipe through the carousel to discover the power of AI assistants and how we make it happen. #Technology #AI #GenAI

The Future of Work: It Starts with AI Interns Every great assistant starts somewhere... Even AI ones. Imagine this: 💡 An intern who never takes a coffee break. 💡 Works 24/7 without missing a beat. 💡 Learns faster than anyone on your team. Sounds like science fiction? It’s not. It’s the power of AI assistants, and with Teraflow’s Digital AI Platform Accelerator (DaPa), we’re making it a reality. Here’s the catch: Just like any great assistant, AI needs to start as an intern. That’s where we come in. Our DaPa architecture builds the foundation for your AI interns, equipping them with the tools, GenAI capabilities, and scalable systems they need to grow into indispensable AI assistants. 🔑 From designing and building, to optimizing their performance—we accelerate this new normal, helping businesses unlock productivity, cut costs, and scale with confidence. Ready to meet your AI intern? Check out our infographic to see how we’re shaping the future of work - and why you should start building your AI assistant today. #AI #FutureOfWork #AIInterns #DigitalTransformation #BusinessInnovation

The latest Enterprise Spotlight report, by the editors of CIO Online, Computerworld, CSO Group, InfoWorld, and Network World, dives into a critical question every #IT leader is asking: How can businesses truly optimise cloud usage? As cloud spending continues to rise, with over 60% of organisations reporting cost increases in 2024, this report uncovers strategies to regain control (and maximise) value. "Three out of every five organisations saw cloud spending increase in the past year, with nearly four in ten experiencing price hikes over 25%." 📊 Key Insights: - Three out of five enterprises report that cloud costs have risen significantly, with nearly 40% experiencing cost increases over 25%. - Security remains paramount: data theft, accounting for nearly one-third of all cloud security incidents, is a persistent challenge. For the whole report: https://lnkd.in/dhs5WsV8 #CloudOptimization #FinOps #HybridCloud #DigitalTransformation

How do you innovate when resources are limited? The answer, according to Kai-Fu Lee: "I truly believe that necessity is the mother of innovation." At the 8th FII Institute Summit, during the "BEYOND GPT MODELS — WHAT IS THE DECADE AHEAD?" panel, Dr. Lee shared how constraints like limited access to GPUs and lower valuations in China shaped creative breakthroughs in AI development. With just 2,000 GPUs, his team not only optimised training and inference speeds, but also slashed inference costs to 10 cents per million tokens - a staggering 1/30th of the typical cost. This innovation isn’t just technical; it’s transformational, opening doors for more affordable AI applications worldwide. This conversation, moderated by Peter H. Diamandis, explores how the next decade of #AI will move beyond #LLMs to redefine industries, overcome challenges, and empower global innovation. Watch the clip to see how constraints can spark the next big leap in AI innovation. Source: https://lnkd.in/duQ4iuiM #AIInnovation #AIAgents #ArtificialIntelligence #Tech

AI is transforming the enterprise landscape, but are #IT leaders ready for the challenge? From rising budgets to data integration struggles and the critical need for AI-ready skills, the latest insights from the CIO Online Pulse Nov 2024 report reveal: 🌟 74% of CIOs see AI as a critical focus, yet... 🛠️ Barriers like IT integration (51%) and unclear business cases (50%) slow progress. 📉 Only 34% feel their data and tech are AI-ready. The path to enterprise AI success is clear: aligning technology with business goals, bridging the skills gap, and prioritizing innovation. Curious about where your business stands? Dive into the data and find out how CIOs are navigating this evolving landscape. Let’s shape the future together - how is your business planning to leverage AI in #2025? Share your thoughts below! #AI #EnterpriseIT #CIO #DigitalTransformation #Leadership #Technology

What sets AI-ready business leaders apart? It’s not just about the tech, it’s about being data-ready. From faster deployment to measurable revenue boosts, data-driven businesses are paving the way for GenAI adoption. But challenges like poor data quality and lack of governance still hold many back. Our new infographic breaks down a few stats and key insights from the World Economic Forum and @PwC's report on GenAI early adopters. #GenerativeAI #DataDriven #Innovation #Leadership #AI

Want to stay ahead in the #GenAI revolution? Here’s the secret: It’s not just about the technology, it’s about the data. A new report from the World Economic Forum and PwC highlights a key insight from early adopters of generative AI: data-driven organisations are leading the way. Why? Because they’ve already done the hard work of building robust data quality, infrastructure, and governance. This foundation means they can move faster, deploy smarter, and see results sooner. ✅ 15.2% revenue boost reported by early adopters ✅ One-third of companies now rely on GenAI for specific tasks ✅ But... 56% of businesses still struggle with data quality The difference between lagging behind and leading? Data-readiness. Read our full article to learn how organizations are leveraging their data foundations to get a GenAI head start - and how you can too. 👉 Read more here: https://lnkd.in/d2SQ3NXw #GenerativeAI #Innovation #DataDriven #Leadership

As we stand on the cusp of a technological reshaping, the rules of #startup growth are shifting (and fast). Garry Tan, President and CEO of Y Combinator, recently brought to light a number of profound changes in the way startups might approach scaling in the near future. Rather than relying on typical scaling methods (like hiring large teams) startups can better leverage LLMs to automate key processes, breaking through growth bottlenecks and dramatically reducing costs. 💡 What does this mean for #founders? 💡 It’s time to rethink your post-product-market-fit strategy. Hiring exceptional engineers with an understanding of AI isn’t just a “nice-to-have” anymore - it’s becoming a competitive necessity. These experts can craft systems tailored to your business, enabling you to scale without the overhead of massive headcount. As Garry aptly put it: “I’m going to build LLM systems that bring down my costs, that cause me not to have to hire 1,000 people.” We’re at the dawn of this revolution. The startups that embrace it will not only optimise growth but redefine the very nature of scaling. How prepared are you for this shift? Let’s discuss how to accelerate AI and LLMs to transform your business: Reach out and ready yourself for the new year! #AI #Startups #Innovation #Scaling #LLM

#GenerativeAI is transforming the way we live, work, and innovate. But what challenges (and opportunities) lie ahead? From smarter tech to rising energy demands, Deloitte’s latest predictions uncover the trends shaping #2025. 🌟 Curious about the future of AI? Swipe through the carousel to explore what’s next. #AI #Technology #Innovation

#GenerativeAI is reshaping industries faster than we could have imagined. But with great innovation comes great challenges (and opportunities). Deloitte’s latest TMT 2025 Predictions report highlights some fascinating trends: 🌍 #Energy surge: By 2030, global data center electricity usage could double to 4%, fueled by GenAI. 👩💻 #Women in AI: By 2025, women’s adoption of GenAI is set to match or surpass men’s—an exciting milestone! But we need more diversity in AI leadership. 📱 Smarter devices: Expect GenAI capabilities in 30% of smartphones and 50% of laptops shipped by 2025. 🤖 AI agents in business: By 2027, 50% of enterprises using GenAI will deploy AI agents. 🎥 Streaming shifts: The US will hit peak subscription fatigue in 2025 before shifting to more aggregated platforms. As Ariane Bucaille, Deloitte’s TMT leader, puts it: "We are standing on the brink of a new era in human invention and the choices we make today around the development and use of artificial intelligence will shape the futur.” From sustainability to inclusivity, how can we harness these trends for good?