Post by account_disabled on Dec 26, 2023 23:31:06 GMT -5
Aservice providers. Data must be reliable It seems so obvious yet its still far from being reality in the digital analytics world particularly when the tool used is provided by a corporation whose primary interest is misaligned with that of its customers. Data must serve the user and not the other way around. atinternetvaluesdatatrust Machine Learning in Marketing the DAAs Jim Sternes presentation We were honoured to welcome Jim Sterne founder of the Digital Analytics Association and one of the industrys leading experts at this years DAF where he delivered a riveting talk on applying.
AI and machine learning to marketing strategies. To start Jim first cleared up the mystique surrounding the term machine learning. Forget what youve seen on TV he says AI cannot simply be equated with the latest Phone Number List science fiction film. And then what is machine learning good for A few examples robotic assistants in your favourite store augmented reality thats already available on our smartphones and chatbots. As a brand you can use this technology to extend your customers brand experience and to attract new customers but be warned that it wont necessarily work for everyone. Here are his tips for getting your machine learning projects off to a strong start Set a clearly defined objective and be specific.
Boost turnover reduce costs and grow customer satisfaction are all rather vague goals that encompass many everchanging factors. On the other hand increase the number of clicks on my ad banner is a more precise goal which is therefore much more compatible for machine learning. Be ready to be disappointed like us humans the machine requires some nonnegligible learning time. Your first tests will probably not be too satisfying and you should definitely warn your management of this before starting out on a machine learning project. But rest assured after a difficult start be patient while the machine is learning the progress.
AI and machine learning to marketing strategies. To start Jim first cleared up the mystique surrounding the term machine learning. Forget what youve seen on TV he says AI cannot simply be equated with the latest Phone Number List science fiction film. And then what is machine learning good for A few examples robotic assistants in your favourite store augmented reality thats already available on our smartphones and chatbots. As a brand you can use this technology to extend your customers brand experience and to attract new customers but be warned that it wont necessarily work for everyone. Here are his tips for getting your machine learning projects off to a strong start Set a clearly defined objective and be specific.
Boost turnover reduce costs and grow customer satisfaction are all rather vague goals that encompass many everchanging factors. On the other hand increase the number of clicks on my ad banner is a more precise goal which is therefore much more compatible for machine learning. Be ready to be disappointed like us humans the machine requires some nonnegligible learning time. Your first tests will probably not be too satisfying and you should definitely warn your management of this before starting out on a machine learning project. But rest assured after a difficult start be patient while the machine is learning the progress.