Machine Learning for Marketing Executives

Machine Learning is fast becoming one of the biggest tools driving digital transformation and gaining insights from business data.

In this session we will be showcasing a real-life success story of how a leading shopping centre complex has commenced on their ML journey for Marketing. We will explain step by step how they got started, data that they acquired and how the data evaluation provided valuable feedback on their campaigns and marketing activities they presented to customers. Following from this, they were able to create suitable ‘Next Best Offer’ campaigns for their shoppers according to their preferences to help drive additional foot traffic in the shopping centres.

Leveraging the world’s leading Cloud solution, AWS, now more than ever, organisations of all sizes are beginning to take advantage of these systems to help improve the customer experience through greater personalisation and differentiation in the market place. With the scale that AWS provides in both compute and storage as well as their market leading machine learning solution, AWS SageMaker, the world's leading cloud platform is perfectly positioned to help you on your journey to embracing the digital era of marketing. Some of the areas we’ve seen machine learning being leveraged include, but not limited to:

• Driving additional revenue by predicting the behaviour of customers and allowing you to personalise your interactions with them;
• Improving data quality within an organisation that allows marketing to make smarter and better data-driven decisions;
• Better predicting customre attrition and propensity to churn, which in turn allows the business to act quickly and efficiently around customer retention

So despite these obvious advantages many Marketing Executives don't know where to start, or know what needs to be considered.

• lay the foundation of knowledge for what machine learning is, delivered with the senior marketing executive in mind;
• help you navigate through the hurdles associated with machine learning so your business can tap into the data at a deeper level;
• show the different types of business problems that are commonly handled by machine learning and
• provide actionable advice on how to begin a machine learning initiative with the right approach and perspective on AWS.
  
  

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