Sevenett

Exciting Update: New Features Now Live on NaviSmart AI! Dear NaviSmart Community, We are excited to share a significant update on NaviSmart AI! Our team has been working hard to enhance our platform, and we’re thrilled to introduce new features designed to make immigration information more accessible, accurate, and faster. Our AI-powered platform now provides personalized, multilingual, and citation-backed responses to empower professionals, students, and entrepreneurs navigating the complexities of immigration. We understand that navigating immigration policies, visas, and work permits can be overwhelming. Our mission is to: ·?????Reduce complexity and stress by 25%. ·?????Ensure 80%+ accuracy & relevancy in responses. ·?????Decrease search time by 40% for quicker decision-making. ·?????Provide free/affordable solutions, cutting consultation costs by up to 40%. We’re committed to continuously improving NaviSmart AI based on user feedback, and we’d love for you to explore the platform and share your thoughts! https://lnkd.in/d779ENQT Please feel free to spread the word to anyone who might benefit from our platform. Thank you for being part of our journey—we’re excited to grow together! Best regards, The NaviSmart AI Team

Taking Chances and Being Fearless As I continue down memory lane, relocating to a new country with my family was one of the boldest decisions we ever made. We arrived knowing no one—armed only with faith and the internet. As part of my 2024 resolutions, I committed to stepping out of my comfort zone, taking risks, and pushing beyond my fears to unlock my full potential. That decision led me to join Sevenett as a Data Analyst. It was here that I not only acquired new technical skills but also grew into a data expert. I ventured into coding—something I once viewed as an intimidating and unreachable skill. Yet, with determination and the right mindset, I proved to myself that what often seems impossible is simply unfamiliar. This experience taught me a valuable lesson: The growth you seek is often on the other side of fear. It begins with a mindset shift and the courage to bet on yourself. So, to anyone standing at the edge of uncertainty—take the leap. Pitch that idea. Host that event. Run for that seat. Start that business. As one of Kenya’s renowned leaders often says, “Be fearless!”—or at the very least, act like it. You miss out on every opportunity you don't pursue. As I officially conclude my time at Sevenett, I am deeply grateful for the opportunity to work alongside brilliant engineers and scientists. The experience has been transformative—both professionally and personally. Let this be a reminder: Embrace the unknown, take that risk, and discover what you are truly capable of. The world is waiting to see what you can achieve.

Leveraging Tech and Data for Career Growth and Transition #Sevenett @TecInnovationsAI: https://lnkd.in/emKbAGab

When you are too tired to work but too poor to quit and too young to retire. Data analytics continues to be a high-demand skill in 2025, with companies across industries leveraging data-driven insights to enhance decision-making. If you're looking to advance your career in data analytics this year then don't miss next intake starting Feb 10th, 2025 More info: www.sevenett.net #Data #Analytics #AI #DataScience #Excel #Tableau #SQL #PowerBI

Getting your child future ready with AI, ML, and coding. For more info about next intake visit https://lnkd.in/eP9ff5bV Watch the video here: https://lnkd.in/eJKVdZxC #Codiing #Code7 Sevennett LLC

#TechCareerGrowth In 2025, the tech industry will continue to dominate global job markets, driven by rapid advancements in AI, cloud computing, cybersecurity, and emerging fields like quantum computing and green tech. Careers in?artificial intelligence,?data analytics, and?software development?will remain in high demand, while niche areas like?blockchain,?IoT, and?augmented reality?will see exponential growth. The rise of?remote work?and?digital transformation?across industries will create opportunities for tech professionals worldwide. To stay competitive, professionals must focus on?continuous learning,?specialization, and?soft skills?like adaptability and problem-solving. With the right skills and mindset, 2025 promises a dynamic and rewarding landscape for tech career growth. www.sevenett.net https://lnkd.in/ebksG8tU

Level up your Data Analytics skills with Sevenett. Join our next cohort starting Feb 10th 2025

1. What is AI? Definition and overview of Artificial Intelligence. Difference between AI, Machine Learning (ML), and Deep Learning. Types of AI: Narrow AI: AI specialized for specific tasks (e.g., virtual assistants). General AI: AI with human-like intelligence (still theoretical). Superintelligent AI: AI surpassing human intelligence (speculative). 2. Applications of AI AI in daily life: Smart assistants, recommendations (Netflix, Amazon), and smart home devices. Industry use cases: Healthcare: Diagnosis, drug discovery. Finance: Fraud detection, robo-advisors. Transportation: Autonomous vehicles. Education: Personalized learning systems. 3. How AI Works Basic concepts: AI systems mimic human decision-making processes. Use of data to train models. Role of algorithms in AI. Introduction to neural networks and how they work (at a high level). 4. Key Components of AI Data: Importance of large datasets in training AI systems. Algorithms: Overview of popular algorithms (e.g., decision trees, neural networks). Training and Testing: How AI learns from data. 5. Types of Machine Learning Supervised Learning: Training with labeled data (e.g., predicting house prices). Unsupervised Learning: Finding patterns in unlabeled data (e.g., clustering customers). Reinforcement Learning: Learning through rewards and penalties (e.g., gaming AI). 6. Basics of Neural Networks What are neurons in AI? How neural networks mimic the brain. High-level introduction to concepts like layers and activation functions. 7. Natural Language Processing (NLP) How AI understands and processes language. Examples: Chatbots, translation tools (Google Translate), sentiment analysis. 8. Computer Vision How AI analyzes and understands images and videos. Examples: Face recognition, object detection, self-driving cars. 9. Ethics in AI Bias in AI systems. Privacy concerns and data security. Responsible AI development and usage. 10. Tools and Technologies Popular tools used in AI: Beginner-friendly platforms like Google Colab. Libraries like scikit-learn, TensorFlow, and PyTorch (optional for beginners). Introduction to AI-powered tools like ChatGPT, Canva AI, and others. 11. Limitations of AI What AI can and cannot do today. Challenges like lack of common sense, data dependency, and energy consumption.

Join our next contort starting in Feb 2025

NaviSmart AI? Seed and Need explained in 2 minutes #AI #Immigration #Immigrant #InformationAccess #ResourceAccess #Citation #Multilingual #Personalized