Solve my Problem Series - Machine Learning: You need more than a score… to score

Presented by

Edward Mcmutrie - Senior Strategist, Data & Analytics, The Lumery & Ross Macrae - Solutions Consultant, Tealium

About this talk

Many organisations attempt to deploy machine learning (ML), some succeed, while the vast majority fail. There could be many reasons why companies who start ML projects don’t report much success. It's easy to fall under the spell of technology that promises to solve all of your business challenges. Delivering on this magical formula is hard if customer information is scattered across systems and channels. So how can organisations use their customer data to deliver more effective customer experiences with ML? Allow our Customer Data ML experts to help and inspire you with their insights and expertise, while solving the ML problems your organisation may be facing, in an interactive and agile fireside chat. Taking place LIVE on Tuesday 19th May at 12:00pm, a thought-provoking discussion on ‘Machine Learning: You need more than a score… to score’. You will learn: - What it takes to get ML right - How ML and your existing customer data technologies need to work together - How to create effective experiences for your customers with ML Meet the experts for Solve my Problem: Edward Mcmutrie - Senior Strategist, Data & Analytics, The Lumery Ross Macrae - Solutions Consultant, Tealium Both Edward and Ross have an abundance of experience helping and guiding customers with successful customer data ML strategies and will be sharing their wealth of knowledge while answering your questions. Register now to save your seat.

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Tealium powers the new era of real-time customer engagement and marketing, enabling global businesses to unlock their customer data and create more meaningful, relevant customer experiences. The company’s industry-leading customer data platform, comprised of an enterprise tag management solution, omnichannel customer segmentation and action engine, and suite of rich data services, creates a vendor-neutral data foundation that spans web, mobile, offline and IoT.