Hosted by Deirdre Caren on Agora Insights’ Blueprints for Success - The Future of Work: Machine Learning, Generative AI, and Career Growth
Introduction
I had the pleasure of interviewing Riddhi Dasani recently, a seasoned data scientist and machine learning engineer. As many of you may know, the fields of artificial intelligence (AI) and ML are at the forefront of innovation. So Riddhi's journey from an immigrant student to a key player in the consulting world offers valuable insights and lessons for anyone interested in these fields. This blog post summarizes our enlightening conversation, focusing on the Role of ML and AI in Modern Industries, the Role of Open Source and Continuous Learning and the Future of AI and Its Impact on Jobs.
Let’s get started…
Background
Riddhi, originally from India, moved to Canada to pursue her studies. With a background in electrical engineering and a passion for machine learning, she has carved out a niche for herself in the consulting industry. Riddhi currently works for a major consulting firm, where she tackles a variety of projects involving AI and data science.
I found it interesting to note the variety of skills which someone like Riddhi brings to the table. She is proficient in developing and deploying neural networks and advanced AI models. She has a strong command over Python, leveraging the language to implement sophisticated AI solutions. Riddhi is dedicated to teaching and mentoring, with a history of contributing to educational initiatives and professional development programs. She is passionate about developing AI technologies that are both forward-thinking and protective of societal values. Her expertise lies in using Python for machine learning and deep learning tasks, and she has a particular interest in generative AI.
"You give me a problem, I try to solve it."
- Riddhi Dasani
3 Key Topics
1. The Role of Machine Learning and AI in Modern Industries
Riddhi explained that her work often involves solving complex problems for clients using machine learning algorithms. One of her early projects involved developing a computer vision system for visual inspection in the manufacturing industry. This system automated the monotonous task of defect detection, freeing up human workers for more creative and impactful roles. She emphasized that AI and ML are not just about replacing jobs but about enhancing human capabilities and making work more meaningful.
2. The Importance of Open Source and Continuous Learning
Riddhi highlighted the significance of open-source platforms in democratizing access to advanced technologies. She especially mentioned Llama and frameworks like TensorFlow and PyTorch, which she uses for deep learning projects. Riddhi also stressed the importance of continuous learning and staying updated with the latest advancements. She subscribes to various newsletters and follows YouTube channels like "3Blue1Brown" to keep her skills sharp. Her advice to newcomers is to pick a programming language like Python and get comfortable with it, as it serves as the foundation for most AI and ML projects.
While technical proficiency in areas like Python programming and machine learning algorithms is crucial, Riddhi stressed the growing importance of soft skills and business acumen in the AI field. As professionals advance in their careers, the ability to communicate complex ideas simply, present problems effectively, and interact with clients becomes increasingly valuable. Riddhi noted that these interpersonal skills are often underrated but can significantly impact career progression. She advised that cultivating these skills alongside technical expertise is essential for long-term success in the AI industry, particularly in consulting roles where client interaction is frequent.
3. The Future of AI and Its Impact on Jobs
Riddhi was optimistic yet realistic about the future of AI. She believes that while AI will inevitably change the job landscape, it will also create new opportunities. The key is to adapt and leverage these technologies to our advantage. She pointed out that the pace of AI development is unprecedented, and those who invest in learning and adapting will thrive. Riddhi is particularly excited about the potential of generative AI and its applications across various industries, from healthcare to telecommunications.
10 Learning Points
- Embrace Continuous Learning: Stay updated with the latest advancements in AI and ML. Subscribe to newsletters and follow educational YouTube channels.
- Start with Python: For those new to the field, start with Python, a versatile and widely-used programming language in data science and machine learning.
- Understand the Basics: Before diving into complex projects, it's crucial to understand the foundational concepts of machine learning and data science.
- Leverage Open Source: Platforms like TensorFlow and PyTorch offer powerful tools for developing machine learning models. Llama offers great potential for customization and control. Open-source resources generally democratize access to advanced technologies.
- Focus on Impact: AI and ML should be used to enhance human capabilities and make work more meaningful, not just to replace jobs.
- Adapt and Learn: The rapid pace of AI development means that adaptability and a willingness to learn are essential for success.
- Network: Build a network of like-minded professionals who can provide valuable insights and opportunities.
- Gain Practical Experience: Hands-on experience is crucial. Try out projects and learn from failures.
- Develop Interpersonal Skills: Technical skills are important, but so are interpersonal and business skills. Effective communication can make a significant difference in career progression.
- Apply Ethical Considerations: As AI becomes more integrated into various industries, ethical considerations and responsible use of technology become increasingly important.
Close
Riddhi's journey offers a compelling narrative of perseverance, continuous learning, and adaptability. Her insights into the role of AI and machine learning in modern industries, the importance of open-source platforms, and the future impact of AI on jobs provide valuable lessons for anyone interested in these fields. As we navigate the fast-paced world of AI, embracing these principles can help us not only survive but thrive in this exciting era of technological innovation. For those looking to connect with Riddhi or seek further advice, she is available on LinkedIn, always willing to help others find their path in the world of AI and machine learning.
Feel free to share in our Blueprints for Success Podcast or comment with any questions!
To get weekly videos and interviews from leaders around the world, subscribe to our Blueprints for Success Newsletter on LinkedIn
Just a reminder that Agora Insights and now Aidon.ai open up a world of learning and AI-Assisted Solutions for Business Architects, Analysts, Strategists, and Business Leaders. Contact us for a demo.
To watch more videos, visit YouTube.
Interested in business architecture and business analysis certification, corporate and AI training? Go to our website www.agorainsights.com
Contact Deirdre Caren on LinkedIn
About Riddhi
Riddhi Dasani is an experienced Machine Learning and Deep Learning Developer currently serving as a Senior Data Scientist. With over six years of experience in the industry, Riddhi has a strong background in Applied Science and Electrical Engineering, which she leverages to develop algorithms for solving real-world multidisciplinary Artificial Intelligence projects.
Riddhi's professional journey is marked by her curiosity and tenacity, driving her to continuously learn and adapt in the fast-evolving field of artificial intelligence. She is committed to leveraging technology to make a positive impact, both in her professional work and through her community involvement.
https://www.youtube.com/@3blue1brown
https://www.youtube.com/@statquest
Post sponsored by Agora Insights Ltd
Post a Comment