Quick Start with AI for Businesses | Dr. Ulrich Bodenhausen | ML Conference 2018 Spring

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Learn how to quickly and easily get started with AI for your business with practical tips from Dr. Ulrich Bodenhausen.

Key takeaways
  • Involve more people: Don’t limit your AI team to a few experts. Involve a diverse group of people from different departments and backgrounds to bring a variety of perspectives and expertise to the table.

  • Start with small data: Don’t wait until you have a massive dataset to start working on AI. Start with a small, manageable dataset and grow it over time. This will help you get started quickly and avoid getting overwhelmed.

  • Use existing AI tools and libraries: There are many open-source AI tools and libraries available that you can use to get started with AI. This can save you a lot of time and effort, and it can also help you avoid reinventing the wheel.

  • Focus on the business case: Before you start working on an AI project, make sure you have a clear understanding of the business case for it. What are the potential benefits of using AI in this particular situation? How will it help you achieve your business goals?

  • Get feedback early and often: Don’t wait until the end of the project to get feedback from stakeholders. Get feedback early and often so that you can make adjustments along the way. This will help you avoid wasting time and resources on a project that doesn’t meet the needs of your business.

  • Be prepared to fail: AI is a complex and challenging field, and there will be times when you fail. Don’t let this discourage you. Learn from your mistakes and move on. The more you try, the better you will become at developing successful AI projects.

  • Don’t be afraid to ask for help: If you’re struggling with an AI project, don’t be afraid to ask for help. There are many resources available to help you, including online forums, books, and courses. You can also hire a consultant or join an AI community to get support from other people who are working on similar projects.

  • Have fun: AI is a fascinating and rewarding field. Enjoy the process of learning and experimenting with new technologies. The more you enjoy working on AI projects, the more successful you will be.