Bella Li’s Post

Interested in contributing to the future of tech using AI? Our tech experts say it's all about curiosity, a passion for growth, and asking the right questions — and your domain expertise is a bonus. 💡 Data & AI can be applied from healthcare to finance and robotics. It’s an area that’s rapidly evolving and requires a commitment to embrace continuous learning. So are you ready to kickstart your journey? Want to join our team? Register here: https://lnkd.in/g6PquKEn #LifeatIBM #AI #WomenInTech

🚀💡 Dive into the latest & greatest in tech! Data Science, AI, and Machine Learning are shaping our world, transforming industries from healthcare to finance. Here's a quick snapshot: ✨ **Data Science Trends** - **AutoML** is streamlining machine learning, making it more accessible. Imagine deploying models with Google's AutoML or H2O.ai's Driverless AI without the heavy lifting! - **Data Fabric** architecture is revolutionizing data management, offering a unified view across various sources. - **Data Visualization**: Tools like Tableau, Power BI have upped their game with even more interactive features. 🔍 **AI Innovations** - Transformers (BERT, RoBERTa) are redefining natural language processing. - Robotics advancements promise robots that learn and adapt like never before. Picture Tesla's Optimus robot! - **Ethical AI** is in the spotlight, ensuring our AI future is fair and transparent. 📊 **Machine Learning Developments** - Exploring relationships with **Graph Neural Networks (GNNs)** in social networks or drug discovery. - **Explainable AI (XAI)** aims to make AI decisions clearer and more understandable. Impact? Healthcare sees AI in diagnosis and treatment, finance in fraud detection, and automotive in autonomous driving. 🎓 Amazing research is unfolding at conferences like NeurIPS and ICML, pushing boundaries further. Did you know? The global AI market is set to roar to $1,184.2 billion by 2027! 🌎 🔥 From IBM Watson Health's breakthroughs in healthcare to Tesla's pioneering Autopilot, the possibilities are endless. Let's chat: Which innovation excites you the most? And how do you see it evolving in your industry? Drop your thoughts below! ⬇️ #DataScience #ArtificialIntelligence #MachineLearning #Innovation #Technology

Decoding the Real-World AI: It’s Not Always About the Flashiest Tech 🚀🤖 Here’s an eye-opener: Over 90% of AI applications in the trenches still rely on classic ML algorithms. Forget the buzz around LLMs and the next big thing; it’s the right tool for the right job that wins the day. Mastering a select suite of 8-12 machine learning algorithms could unlock a world of opportunities. Understanding their nuances, from scalability and performance to resource use and cost, is what empowers you to tailor AI solutions that truly fit. Now, this ‘90%’ isn’t a stat set in stone—it’s a pulse check from insights by big names like McKinsey and IBM. But does it resonate with your experience out there in the field? Drop your thoughts and let’s uncover the reality of AI across industries! #AIRealTalk #MachineLearning #DataScience #RealWorldAI #TechInsights #Innovation #AIApplication #MLAlgorithms #SoftwareDevelopment #CodingLife #DeveloperTools #TechTips #India, #Innovation, #Management, #HumanResources, #DigitalMarketing, #Technology, and #creativity https://lnkd.in/gmGfJACn

🔍 Data & Variables: Powering AI Learning 🚀 Imagine a self-driving car - it devours data (traffic patterns, road signs) to navigate. Variables (speed limit, weather) help it understand this data. ☀️ Together, they unlock hidden insights in AI! ➡️ Data & Variables: https://lnkd.in/gq7dfN6s #AI #MachineLearning #DataScience #Tech #BigData #AIlearning #PrayingMantis #DeBug

AI for Everyone – Taught by Stanford professor and Coursera cofounder Andrew Ng, this course is designed to unlock the world of artificial intelligence (AI) for anyone, regardless of their technical background. Whether you’re an executive, a team leader, or a curious learner, this course will empower you to bring AI insights into your organization and personal projects. Why take this course? AI is transforming industries, but it’s not just for engineers and data scientists. This course is your opportunity to learn how AI can enhance decision-making, improve workflows, and drive innovation, no matter your role. You’ll gain a solid understanding of AI’s potential, and by the end, you’ll be equipped to champion AI initiatives in your company or career. #Ai #Workflow #datascience #driveinnovation #MachineLearningprojects #WorkflowofDataScienceprojects #AIstrategy

When I was Head of Data Science, people thought my job was to solve everything with AI. Not at all, and thinking that way is a clear path to failure. That raises the question: When should we rely on humans and when should we rely on AI? Here’s the framework I use: 1) Have we defined the problem properly? 2) Do we know what data could give us signals and have we acquired it from a trusted source? 3) Have we defined a framework for teaching the AI what to look for in the data to perform the specific task? If 1-3 are yes, send it to AI. Otherwise, it goes to a human. It's no different than using a robot for manufacturing cars. The designers and engineers need to tell it what to make, what components to use, and how to put them together. Then, the robot does it 100,000 times without a break. #DataScience #HumanVsAI #AIandHumans

EXP with AI

A&MPLIFY Co-founder Bob Ghafouri shares his take on #AI adoption, breaking down the current landscape and sharing opportunities and challenges businesses face today. Watch below and explore the rest of his series on AI transformation here 👉🏻 https://lnkd.in/eb4e8RBK

🚀 Exciting times in tech! We're witnessing incredible advances and integrations in the realms of Data Science, AI, and Machine Learning, transforming industries and shaping the future. Here's the scoop: In **Data Science**, AutoML is revolutionizing model building, making it accessible to more businesses. Data Fabric is creating a cohesive data environment, and interactive visualization tools like Tableau and Power BI are turning complex data sets into engaging, comprehensible visuals. **AI Innovations** are no less thrilling with NLP pushing the boundaries of how machines understand us, Robotics inching closer to widespread automation, and Ethical AI ensuring fairness and transparency in this digital evolution. Meanwhile, **Machine Learning** sees Transformers and Graph Neural Networks (GNNs) tackling intricate problems from language to social connections, while Explainable AI helps us trust the decisions our machines are making. The impact? From Healthcare's personalized treatments to Finance's fraud detection and Autonomous vehicles reshaping transport - the possibilities seem endless. 📊 Growth is staggering too, with the Machine Learning market expected to soar at a 43.1% CAGR and AI potentially hitting $190.6 billion by 2025. As we stand at the intersection of innovation and application, it's clear the future is data-driven. What's the most exciting AI or Machine Learning innovation you've come across? Let's chat below! 🔍💡 #DataScience #ArtificialIntelligence #MachineLearning #TechTrends

🤖 𝐖𝐢𝐥𝐥 𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐯𝐞 𝐀𝐈 𝐏𝐮𝐭 𝐘𝐨𝐮 𝐎𝐮𝐭 𝐨𝐟 𝐁𝐮𝐬𝐢𝐧𝐞𝐬𝐬? It's 2024, and Generative AI is transforming industries. Modern language models can generate essays, news articles, poetry, and more. AI systems are handling customer service, driving vehicles, diagnosing diseases, and even creating art. Many fear that AI will eliminate the need for human workers, but that does not have to be the case. The key is embracing and adapting to AI. Learn how to work alongside AI systems. Develop skills that machines struggle with, like creativity, critical thinking, and problem-solving requiring emotional intelligence. To thrive in this new environment, focus on augmenting human capabilities with AI. Consider how AI tools can: 🚀 𝘚𝘱𝘦𝘦𝘥 𝘶𝘱 𝘳𝘰𝘶𝘵𝘪𝘯𝘦 𝘵𝘢𝘴𝘬𝘴 𝘴𝘰 𝘺𝘰𝘶 𝘩𝘢𝘷𝘦 𝘮𝘰𝘳𝘦 𝘵𝘪𝘮𝘦 𝘧𝘰𝘳 𝘴𝘵𝘳𝘢𝘵𝘦𝘨𝘪𝘤 𝘸𝘰𝘳𝘬 🔍 𝘗𝘳𝘰𝘷𝘪𝘥𝘦 𝘪𝘯𝘴𝘪𝘨𝘩𝘵𝘴 𝘢𝘯𝘥 𝘥𝘢𝘵𝘢 𝘢𝘯𝘢𝘭𝘺𝘴𝘪𝘴 𝘺𝘰𝘶 𝘤𝘰𝘶𝘭𝘥 𝘯𝘰𝘵 𝘥𝘰 𝘰𝘯 𝘺𝘰𝘶𝘳 𝘰𝘸𝘯 👀 𝘚𝘱𝘰𝘵 𝘱𝘢𝘵𝘵𝘦𝘳𝘯𝘴 𝘢𝘯𝘥 𝘵𝘳𝘦𝘯𝘥𝘴 𝘵𝘩𝘢𝘵 𝘺𝘰𝘶 𝘮𝘢𝘺 𝘮𝘪𝘴𝘴 ✅ 𝘊𝘩𝘦𝘤𝘬 𝘸𝘰𝘳𝘬 𝘧𝘰𝘳 𝘦𝘳𝘳𝘰𝘳𝘴 𝘢𝘯𝘥 𝘰𝘮𝘪𝘴𝘴𝘪𝘰𝘯𝘴 But remember that AI is best at automating routine processes - not creative, out-of-the-box thinking. Focus your own efforts on: 💡 𝘎𝘦𝘯𝘦𝘳𝘢𝘵𝘪𝘯𝘨 𝘯𝘦𝘸 𝘪𝘥𝘦𝘢𝘴 𝘢𝘯𝘥 𝘴𝘰𝘭𝘶𝘵𝘪𝘰𝘯𝘴 🔄 𝘈𝘥𝘢𝘱𝘵𝘪𝘯𝘨 𝘵𝘰 𝘤𝘩𝘢𝘯𝘨𝘪𝘯𝘨 𝘤𝘪𝘳𝘤𝘶𝘮𝘴𝘵𝘢𝘯𝘤𝘦𝘴 🔎 𝘐𝘥𝘦𝘯𝘵𝘪𝘧𝘺𝘪𝘯𝘨 𝘯𝘶𝘢𝘯𝘤𝘦𝘴 𝘢𝘯𝘥 𝘦𝘹𝘤𝘦𝘱𝘵𝘪𝘰𝘯𝘴 𝘵𝘩𝘢𝘵 𝘢𝘭𝘨𝘰𝘳𝘪𝘵𝘩𝘮𝘴 𝘮𝘪𝘴𝘴 🗣 𝘌𝘹𝘱𝘭𝘢𝘪𝘯𝘪𝘯𝘨 𝘈𝘐 𝘰𝘶𝘵𝘱𝘶𝘵𝘴 𝘵𝘰 𝘤𝘰𝘭𝘭𝘦𝘢𝘨𝘶𝘦𝘴 𝘢𝘯𝘥 𝘤𝘶𝘴𝘵𝘰𝘮𝘦𝘳𝘴 🤝 𝘉𝘶𝘪𝘭𝘥𝘪𝘯𝘨 𝘦𝘮𝘱𝘢𝘵𝘩𝘺 𝘢𝘯𝘥 𝘩𝘶𝘮𝘢𝘯 𝘤𝘰𝘯𝘯𝘦𝘤𝘵𝘪𝘰𝘯𝘴 The future is hard to predict, but one thing is clear: job roles will change and humans and AI working together can achieve more than either could alone. Those who upskill themselves and their organizations will have opportunities to thrive. But those who do not may find their roles reduced or made obsolete. The time for embracing AI is now. Are you ready? We are happy to help, just get in touch 👇 #disruption #ai #genai #jobs #futureofwork #automation #innovation