AI4DEVS: Issue #5
Tags: machinelearning, aws, sagemaker, churn
Published: 2021-04-08 23:15:01

## Harnessing the power of customers with AI

[Last week](https://ai4devs.io/issue-20210402-004) presented some interesting advancements in the NLP domain, which is living a renaissance. This week we talk about winning your customer base, detecting objects and diseases using AI.

### Here are our top picks of the week!

Building a strong customer base means predicting and preventing customer churn, then maximizing your customer lifetime value. Recent applications in the retail space are shifting from basic product recommendation systems based on previously bought items. [Amazon Personalize](https://aws.amazon.com/it/personalize/) addresses a lot of use cases with its existing managed service. Still, this is a great article to [start building your customized recommender system](https://aws.amazon.com/it/blogs/machine-learning/building-a-customized-recommender-system-in-amazon-sagemaker/).

Looking for a detailed description about [what is Customer Lifetime Value](https://cloud.google.com/solutions/machine-learning/clv-prediction-with-offline-training-intro?hl=it) and how you could detect this score for your customer base, this is a great place to land.

One year ago, Facebook Research released a top-level, state-of-the-art machine learning model for object detection, named [Detectron2](https://github.com/facebookresearch/detectron2). Today this model is available as [a pre-built notebook on Amazon SageMaker](https://aws.amazon.com/it/blogs/machine-learning/object-detection-with-detectron2-on-amazon-sagemaker/). Just run the notebook, and you can use it within minutes.

Computer vision is empowering every market, and even agriculture can deploy [a crop disease detection model](https://aws.amazon.com/it/blogs/machine-learning/plant-leaf-disease-detection-with-amazon-rekognition-custom-labels/) with Amazon Rekognition Custom Labels.

Your next doctor will probably be a machine learning model on the research landscape that now [can read your laboratory data and detect your disease](https://www.nature.com/articles/s41598-021-87171-5) better than an average medical practitioner. Healthcare is an amazing field for data science, and we're just scratching the surface of what will be possible in the next few years.

#### Upcoming events
Many of you asked for upcoming events and speaking opportunities in the machine learning world. This week two of the worldwide top events have been announced!
[nVidia GTC conference](https://www.nvidia.com/en-us/gtc/) is coming online next week (April 12-15th), and it is definitely the place to be whether you want to deep dive into deep learning stuff and have a glimpse of the near future. Never mind, you are not a skilled data scientist, be sure to attend at least the main keynotes: it's a great value for your time.
A bit ahead of time, AWS announced the upcoming [AWS Machine Learning Summit](https://aws.amazon.com/it/blogs/machine-learning/save-the-date-for-the-aws-machine-learning-summit-june-2-2021/) which is happening on June 2nd. This is a huge one-day event joining together researchers, visionaries, and state-of-the-art applications. Stay tuned for more info when registration opens.


And this is all for this week. Stay tuned and subscribe to be always up to date with the latest news in AI and machine learning applications.

Thank you for reading, see you next week! 

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#### About the AI4DEVS

AI4DEVS is a weekly selection of curated AI news selected from the internet by a community of professionals to help you add a bit of AI in your next project or better understand its applications.

This newsletter would haven’t been possible without ML specialists’ joint efforts and AWS Heroes  [Gillian Armstrong](https://twitter.com/virtualgill),  [Pavlos Mitsoulis Ntompos](https://aws.amazon.com/it/developer/community/heroes/pavlos-mitsoulis/?did=dh_card&trk=dh_card), and  [Alex Schultz](https://aws.amazon.com/it/developer/community/heroes/alex-schultz/?did=dh_card&trk=dh_card).

A special mention to [Cameron Peron](https://twitter.com/cameronperon) and  [Alex Casalboni](https://twitter.com/alex_casalboni) for their steady support and incentive to raise the bar for the community, pushing more people to embrace Artificial Intelligence.

Thank you for reading, see you next week! 


Cheers,

Luca

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