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The article discusses cost optimization with clean data, explaining how businesses can save resources by reducing the workload for data analysts and more.

Go Clean to Be Lean: Data Optimization for Improved Business Efficiency

<strong>Artificial Intelligence</strong>; possibilities of AI are innumerable and they easily surpass our most artistically fecund imaginations. We are really close to living in some sort of sci-fi, so it’s a good idea to have a look at the most possible and promising machine learning and <a href="http://usblogs.pwc.com/emerging-technology/top-10-ai-tech-trends-for-2018/" target="_blank">AI trends for the upcoming 2019</a> and ask ourselves if we are ready for them. What all we read in science fiction novels or saw in movies like ‘The Matrix’ could someday materialize into reality.

Top Artificial Intelligence Trends You Should Consider For AI & Machine Learning Development

#getunstuck is sales video micro-mentorship at scale and it launches today.

TINT case study hacks — Sales Millennials’ #getunstuck campaign launches today

A “lean data” strategy is necessary for today’s e-commerce businesses to stay nimble, avoid “data muck” and not be bogged down by too much data.

Do You Need All This Data?

That’s the beauty of AI prompts: they can understand context and generate human responses that are sometimes too good to be true.

What You Need to Know About AI Prompts

Many popular apps on both Android and <a href="https://hackernoon.com/tagged/ios" target="_blank">iOS</a> make extensive use of on-device <a href="https://hackernoon.com/tagged/machine-learning" target="_blank">machine learning</a>. Apps like Inbox by Gmail or Siri make use of on device machine learning because it’s faster and does a better job of protecting a user’s privacy. <a href="https://developer.apple.com/machine-learning/" target="_blank">iOS</a> and <a href="https://developer.android.com/ndk/guides/neuralnetworks/index.html" target="_blank">Android</a> both have proper API support for using on device, neural networks for prediction purposes. On both platforms you can either wire up your own neural network or use a higher level framework like TensorFlow to do the heavy lifting for you.

Tensor & Flow: Part 1, TensorFlow & Machine Learning on Android

Make sure to check out the other articles <a href="http://camron.xyz" target="_blank">here</a>.

TensorFlow in a Nutshell — Part Three: All the Models

Asynchronous programming is a way to organize work in iOS apps.

Asynchronous Programming in iOS: How to Speed Up Enterprise Apps Without Breaking Developers' Brains

LeanData provides the market’s leading Revenue Ops platform enabling high-growth B2B companies to improve the buyer experience and accelerate time to revenue

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