Understanding how to confidently work with data is key to getting the most out of the rapid developments in AI. Develop the essential skills needed to take advantage of everything that data and AI can offer you and your organization with this practical guide. Starting with the basics, Data and AI Skills by international bestselling author Jordan Morrow will teach you how to build your own step-by-step frameworks for working with data and AI in your organization. It covers defining, developing and deploying effective use cases along with guidance on how to apply your own judgement to data and…mehr
Understanding how to confidently work with data is key to getting the most out of the rapid developments in AI. Develop the essential skills needed to take advantage of everything that data and AI can offer you and your organization with this practical guide. Starting with the basics, Data and AI Skills by international bestselling author Jordan Morrow will teach you how to build your own step-by-step frameworks for working with data and AI in your organization. It covers defining, developing and deploying effective use cases along with guidance on how to apply your own judgement to data and AI projects and decisions. In the book, you'll gain the skills and knowledge needed to immediately start working with data and AI. Cutting through the hype, it explains how early-career business professionals can build a plan to succeed in the digital age. With the continuous and rapid emergence of exciting new tools and use cases, applying your own human and emotional intelligence to understanding data and AI has never been more important. Data and AI Skills will show you how to integrate those skills to ensure long-term success.
Jordan Morrow is known as the "Godfather of Data Literacy", having helped pioneer the field by building one of the world's first data literacy programs and driving thought leadership. He is the founder and CEO of Bodhi Data and Senior Vice President of Data and AI Transformation for AgileOne, helping to utilize data and AI in the total talent management space. Morrow is a global trailblazer in the world of data literacy and enjoys his time traveling the world speaking and/or helping companies. He served as the Chair of the Advisory Board for The Data Literacy Project, has spoken at numerous conferences around the world, and is an active voice in the data and analytics community. He has also helped companies and organizations around the world, including the United Nations, build and understand data literacy. Morrow is based near Salt Lake City, Utah and is the author of four books: Be Data Literate, Be Data Driven, Be Data Analytical, and Business 101 for the Data Professional all published by Kogan Page.
Inhaltsangabe
Section ONE: Data and AI Chapter 01: The formula to success in the age of data and AI Chapter 02: What does data and AI confidence look like? Chapter 03: Data literacy: Your journey towards success Chapter 04: What is AI and AI literacy? Chapter 05: How to build a plan to succeed with data and AI Chapter 06: The power of data and AI use cases Section TWO: The human element Chapter 07: Why human and emotional intelligence still matter in the age of data and AI Chapter 08: Applying your human and emotional intelligence to data and AI decisions Chapter 09: Talking the language of data and AI Chapter 10: Building better value with data and AI Chapter 11: Becoming a data and AI leader in your organization: The power of change management Chapter 12: Your mindset: Bringing it all together
Section ONE: Data and AI Chapter 01: The formula to success in the age of data and AI Chapter 02: What does data and AI confidence look like? Chapter 03: Data literacy: Your journey towards success Chapter 04: What is AI and AI literacy? Chapter 05: How to build a plan to succeed with data and AI Chapter 06: The power of data and AI use cases Section TWO: The human element Chapter 07: Why human and emotional intelligence still matter in the age of data and AI Chapter 08: Applying your human and emotional intelligence to data and AI decisions Chapter 09: Talking the language of data and AI Chapter 10: Building better value with data and AI Chapter 11: Becoming a data and AI leader in your organization: The power of change management Chapter 12: Your mindset: Bringing it all together
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