Undoubtedly, AI is revolutionizing the technology landscape and continues to grow in demand. Increased acquisition costs and shortage of skilled AI and ML experts pose a challenge to modern organizations to successfully adopt and deploy these emerging technologies.
No code approaches are becoming popular among professionals to reduce costs, improve the efficiency of their existing solutions and accelerate time to market. In this special session with Shannon Schlueter, Co-founder and CTO, Cadlio, know how the no-code approach can be successfully applied to your organization.
Agenda for the session
- The Concept of No Code AI
- Adoption of No-code tools and extent of their usage
- Future of No Code AI and Machine Learning
- Live Q&A session
About Speakers
Shannon Schlueter
Co-Founder, Chief Technology Officer, Cadlio
Shannon is a leadership professional with over 20 years of experience in solution design, data science, strategy, and decision making. He is currently the co-founder and CTO of Cadlio, a product collaboration firm from Silicon Valley, CA. Previously, he was the Director of Data Science at the University of North Carolina at Charlotte and Assistant Professor at Purdue University.
Viplove Raj Sharma
Associate Director at Great Learning
Viplove Raj Sharma is Associate Director at Great Learning. He has close to 11+ years of experience in analytics and data science in consulting senior management and leadership teams across geographies, industries & functions He was earlier associated with Royal Melbourne Institute of Technology, Melbourne, and Mu Sigma, Bangalore. Currently, he is leading Great Learning’s international delivery of programs across data verticals.
No Code AI and Machine Learning Program by MIT Professional Education
Artificial Intelligence and Data Science are now a force to reckon with. AI will boost global GDP to $15.7 trillion by 2030, according to PwC. This makes professionals with AI skills highly valuable to organizations across industries. In order to help you unlock the power of AI in business, MIT Professional Education offers the No Code AI and Machine Learning: Building Data Science Solutions Program.
In this 12-week program, you will be able to decode the AI landscape by learning the theory and practical applications of supervised and unsupervised learning, time-series analysis, neural networks, recommendation engines, regression, computer vision, and more. With the no-code approach, you will learn to leverage the power of AI and Data Science without having to write a line of code.
