Kavish Seechurn
I'm a datanaut who navigates through large datasets with ease and surfs data to uncover valuable insight
Vacoas, Mauritius
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Kavish is a highly experienced technical lead in data engineering with a wealth of experience in building and managing data pipelines and utilizing data visualization tools. He is a true "datanaut" who navigates through large datasets with ease and surfs data to uncover valuable insights. With a background in multiple industries, including finance, Kavish brings a wealth of knowledge and expertise to the table. His ability to lead a team of data engineers and his commitment to using data to make informed decisions and drive business growth make him a valuable asset to any organization. Connect with Kavish to learn more about how he can help take your data engineering strategy to the next level.
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Navigating the Ethical Terrain: A Journey into Responsible AI
Join us for a thought-provoking exploration of the Ethics of AI and Responsible AI practices. Delve into the complexities of artificial intelligence ethics, examining the challenges, risks, and opportunities that arise in the rapidly evolving landscape of AI technology. Discover the principles and frameworks guiding ethical AI development and deployment, and gain insights into fostering responsible AI solutions that prioritize fairness, transparency, accountability, and societal well-being. This presentation will empower you with the knowledge and tools to navigate the ethical considerations surrounding AI, ensuring that innovation aligns with human values and respects fundamental rights.
Beyond LLMs: The Rise of Small, Efficient AI Models
AI has long been dominated by large language models (LLMs) like GPT-4 and Claude, but a new wave of small, efficient AI models is transforming the field. These lightweight, high-performance models—such as Mistral, Llama 3, and Gemma—are revolutionizing edge computing, real-time AI applications, and privacy-conscious AI deployments.
In this session, we’ll explore:
✅ Why smaller AI models matter: Performance, efficiency, and cost benefits
✅ How they compare to traditional LLMs in accuracy and computational needs
✅ Real-world applications in mobile AI, IoT, and on-device intelligence
✅ Hands-on Demo: Deploying a lightweight AI model on an edge device (e.g., Raspberry Pi or mobile phone)
This talk is perfect for developers, AI enthusiasts, and data scientists looking to harness the power of small AI models for real-world applications. Join us to learn how these compact AI systems are reshaping the future of AI! 🚀
Architects of Data: Unveiling the Role of Data Engineers
Embark on a captivating journey into the world of data engineering with our comprehensive presentation. Discover the pivotal role data engineers play in building robust data pipelines, optimizing data infrastructure, and ensuring the seamless flow of information crucial for data-driven decision-making. From designing scalable architectures to implementing cutting-edge technologies, we'll explore the multifaceted responsibilities of data engineers in harnessing the power of big data. Join us to unravel the intricacies of data engineering and gain valuable insights into the tools, techniques, and best practices driving innovation in this dynamic field. Whether you're a seasoned professional or an aspiring data enthusiast, this session promises to equip you with the knowledge and skills to thrive in the ever-evolving landscape of data engineering.
"Breaking Down Language: The Power of Tokenization in Natural Language Processing"
Tokenization is a fundamental step in data science,
It involves breaking text into individual units or tokens,
These tokens can be words, phrases, or even characters,
Tokenization is essential for natural language processing and text analysis,
It can help to extract meaning and insights from unstructured data.
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Kavish Seechurn
I'm a datanaut who navigates through large datasets with ease and surfs data to uncover valuable insight
Vacoas, Mauritius
Links
Actions
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