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Reimagine Mobile To Activate Your Total Brand Experience

Forrester IT

I focus a lot of my research on marketing innovation and have been working on mobile (first as marketing guy at a telco in 1998 then as an analyst) for more than 20 years. However, it is still fascinating to me to see how many marketers wrongly think their company has fixed mobile basics or […].

Mobile 340
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Explore Computer Vision To Boost Your Brand

Forrester IT

However, the dramatic explosion in the number of consumer mobile devices with cameras and in the amount of visual content and sharing on platforms like Instagram, Pinterest, Snap, and TikTok make it crucial for marketers to break down these images […].

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Leveraging AI/ML to Drive CX Business Outcomes Proactively

TM Forum

To do this successfully, cutting-edge technologies such as artificial intelligence and advanced data analytics have to be leveraged in the CX measurement system. An AI/ML-enabled CEI+ can help CSPs identify and predict the experience gaps that affect business results (such as revenue, churn, satisfaction, etc.),

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Startup founders at new 5G Open Innovation Lab explain how they’ve adjusted to the COVID-19 crisis

GeekWire

It’s certainly been a unique inaugural cohort for the 5G Open Innovation Lab (5G OI Lab) , a new startup program funded by T-Mobile, Intel, and NASA. T-Mobile, Intel, NASA unveil 5G Open Innovation Lab in Seattle to help startups tap potential of 5G. The Bellevue, Wash.-based scaling it). Transparent Path CEO Eric Weaver.

Software 135
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Data mining for B2B churn and loyalty management in India and South Asia

TM Forum

B2C telecoms markets have illustrated the importance of churn prediction and the use of data mining to understand customer behavior. However, the problem of identifying and predicting churn can differ between B2B and B2C customers. B2C churn modelling. Refer here for some features for customer churn prediction in B2C.

B2B 130
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Introducing Autonomous Finance: Forrester’s New Research On Algorithm-Based Financial Services

Forrester IT

People’s lives are becoming ever more automated as millions of algorithms make decisions — and, in some cases, take actions on those decisions — on behalf of a consumer.

Financial 321