No-code AI aka codeless AI has created a digital disruption, and in 2023, it will continue to revolutionize the way businesses operate.

 

With his live virtual session, Michael Froelke, Regional Sales Manager at Splunk, shares insights into the latest developments in No-code AI and how it can help businesses to streamline their operations, improve customer experience, enhance decision-making, increase agility, and democratize AI. You also get the chance to interact by asking him questions about No-code AI and its impact on businesses.

 

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Agenda for the session

  • How No-code AI is transforming businesses in 2023
  • Real-world businesses that have successfully implemented No-code AI
  • The future of No-code AI and its impact on businesses
  • Features of No Code AI and Machine Learning program by MIT PE

About Speakers

Michael Froelke

Regional Sales Manager at Splunk

With over 15 years of experience, Michael Froelke, Regional Sales Manager at Splunk, possesses extensive experience in AI, machine learning and cyber security. He has worked with the U.S. Defense Health Agency to safeguard more than 700 Military Treatment Facilities (including hospitals and clinics) scattered across the globe.  His expertise lies in utilizing advanced technology and AI models to detect potential cyber security risks, mitigate existing threats, and enhance the overall security framework.

 

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.