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J

Speaker

Jim Sterne

6

talks

guest Board Chair, Digital Analytics Association - USA

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Jim Sterne: Creating a Generative AI Adoption Roadmap

🌟 Session Overview 🌟

Session Name: Creating a Generative AI Adoption Roadmap Speaker: Jim Sterne Session Description: Generative AI presents tremendous opportunities, but most companies are trapped in the research cycle. We are faced with a change management conundrum like never before. Jim starts with a view of how generative AI will impact your company, your job, and your life. He then draws on lessons from the computer revolution, digital transformation, the mobile revolution, and Robotic Process Automation to deliver a rational roadmap for the adoption of generative AI capabilities. It's a transformation blueprint from executive alignment to measuring the impact of new projects. Forming an AI Council, setting policies and guidelines, rolling out training, and developing new ways to measure the business value of new projects will set you up to successfully integrate generative AI into your processes, products, and services.

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AI and Machine Learning will become an integral part of your marketing analytics life so before Matt Gershoff explains how it works, Jim walks you through what it is and how it is being used. From natural language processing and computer vision to chatbots and robots, you'll see how AI is applied to customer interaction. Then, Jim dives into machine learning so you can determine which software services are worth your time, communicate better with the data scientists in your company, decide to become one yourself, and figure out how and where to bring AI and ML into your marketing tool suite.

Artificial Intelligence for Marketing

A straightforward, non-technical guide to the next major marketing tool Artificial Intelligence for Marketing presents a tightly-focused introduction to machine learning, written specifically for marketing professionals. This book will not teach you to be a data scientist—but it does explain how Artificial Intelligence and Machine Learning will revolutionize your company's marketing strategy, and teach you how to use it most effectively. Data and analytics have become table stakes in modern marketing, but the field is ever-evolving with data scientists continually developing new algorithms—where does that leave you? How can marketers use the latest data science developments to their advantage? This book walks you through the "need-to-know" aspects of Artificial Intelligence, including natural language processing, speech recognition, and the power of Machine Learning to show you how to make the most of this technology in a practical, tactical way. Simple illustrations clarify complex concepts, and case studies show how real-world companies are taking the next leap forward. Straightforward, pragmatic, and with no math required, this book will help you: Speak intelligently about Artificial Intelligence and its advantages in marketing Understand how marketers without a Data Science degree can make use of machine learning technology Collaborate with data scientists as a subject matter expert to help develop focused-use applications Help your company gain a competitive advantage by leveraging leading-edge technology in marketing Marketing and data science are two fast-moving, turbulent spheres that often intersect; that intersection is where marketing professionals pick up the tools and methods to move their company forward. Artificial Intelligence and Machine Learning provide a data-driven basis for more robust and intensely-targeted marketing strategies—and companies that effectively utilize these latest tools will reap the benefit in the marketplace. Artificial Intelligence for Marketing provides a nontechnical crash course to help you stay ahead of the curve.

The data we can collect for customer acquisition and life time value enhancement runs the spectrum from generic (postal code, age, gender) through behavioral (clickthroughs, pageviews, apps use) to the highly subjective (opinions, attitudes, motivations). The combination of these datasets moves us closer to getting the right message to the right person at the right time on the right device at the right frequency. Jim offers a marketing data taxonomy as the last step before handing the process over to machine learning algorithms to determine which attributes are useful at any given moment for a given purpose.

Actionable Web Analytics: Using Data To Make Smart Business Decisions

Knowing everything you can about each click to your Web site can help you make strategic decisions regarding your business. This book is about the why, not just the how, of web analytics and the rules for developing a "culture of analysis" inside your organization. Why you should collect various types of data. Why you need a strategy. Why it must remain flexible. Why your data must generate meaningful action. The authors answer these critical questions—and many more—using their decade of experience in Web analytics.