Artificial Intelligence: An Executive Guide to Make AI Work for Your Business is designed for non-experts—it’s for business teams, business leaders, and executives who never seem to have enough time in the day to learn about the latest technology trends. TinyTechGuides™ are meant to be read in under two hours and focus on the application of technologies in business, government, and educational settings.
This book covers the fundamentals of AI: data, analytic, and automation technologies—from modern data management techniques to chatbots, machine learning, natural language processing (NLP), robotic process automation (RPA), and computer vision. It discusses the business benefits of AI, the importance of AI ethics, MLOps, and provides real steps on how to start your AI journey.
With real-world examples of businesses applying AI, you’ll learn how to use AI within Accounting & Finance, Marketing & Sales, Research & Development, Supply Chain, IT, Human Resources, and Service and Support. There are practical industry examples across Banking & Finance, Energy & Utilities, Insurance, Government, Healthcare, Life Sciences, Manufacturing, Retail, Telecom, and Transportation & Logistics.
If you want to know how AI can be applied to improve your business, this TinyTechGuide™ is for you! Remember, It’s not the tech that’s tiny, just the book!™
David Sweenor is an analytics thought leader, international speaker, author, and has co-developed several patents. Sweenor has over 20 years of hands-on business analytics experience spanning product marketing, strategy, product development, and data warehousing. He specializes in artificial intelligence, machine learning, data science, business intelligence, the internet of things (IoT), and manufacturing analytics.
In his current role as the Sr. Director of Product Marketing at Alteryx, Sweenor is responsible for GTM strategy for the data science and machine learning portfolio. Prior to joining Alteryx, Sweenor has served in a variety of roles—including an Analytics Center of Competency solutions consultant, competitive intelligence analyst, semiconductor yield characterization engineer, and various advanced analytics roles for SAS, IBM, TIBCO, Dell, and Quest. Sweenor holds a B.S. in Applied Physics from Rensselaer Polytechnic Institute in Troy, NY and an MBA from the University of Vermont.
Follow David on Twitter @DavidSweenor and connect with him on LinkedIn https://www.linkedin.com/in/