LeanData

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

SimpleMVI is a lightweight yet powerful solution for implementing the MVI pattern in Kotlin multiplatform projects.

This Tiny Kotlin Library Might Be the Cleanest Way to Build Cross-Platform Apps

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

Researchers propose TOOLDEC, a finite-state machine-guided decoding for LLMs, reducing errors and improving tool use.

Syntax Error-Free and Generalizable Tool Use for LLMs: Conclusion and References

In this paper, researchers introduce VEATIC dataset for human affect recognition, addressing limitations in existing datasets, enabling context-based inference.

VEATIC: Familiarity and Enjoyment Ratings & References

Async/await in C# is a framework used for writing asynchronous C# code that is both readable and maintainable. These tips will help you to integrate async/await

Async/Await For Basic to Advanced C# Developers: 24 Essential Tips

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

LEANDATA

leandata.com

207 emps

Since 2012

LEANDATA

EVERGREEN INDEX #9878

LeanData's stories on HackerNoon

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

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

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

Do You Need All This Data?

What You Need to Know About AI Prompts

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

TensorFlow in a Nutshell — Part Three: All the Models

This Tiny Kotlin Library Might Be the Cleanest Way to Build Cross-Platform Apps

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

Syntax Error-Free and Generalizable Tool Use for LLMs: Conclusion and References

VEATIC: Familiarity and Enjoyment Ratings & References

Async/Await For Basic to Advanced C# Developers: 24 Essential Tips

LeanData's Related Companies

Representing this company? Click here to claim and customize this page!

Reviews About LeanData

LeanData WIKI

Apply to get your Tech Company News Page live on HackerNoon.com today!

Light-Mode

Classic

Newspaper

Minty

Dark-Mode

Neon Noir

Minty

HN StartUps

LEANDATA

leandata.com

207 emps

Since 2012

LEANDATA

EVERGREEN INDEX #9878

LeanData's stories on HackerNoon

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

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

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

Do You Need All This Data?

What You Need to Know About AI Prompts

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

TensorFlow in a Nutshell — Part Three: All the Models

This Tiny Kotlin Library Might Be the Cleanest Way to Build Cross-Platform Apps

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

Syntax Error-Free and Generalizable Tool Use for LLMs: Conclusion and References

VEATIC: Familiarity and Enjoyment Ratings & References

Async/Await For Basic to Advanced C# Developers: 24 Essential Tips

LeanData's Related Companies

2015

5.3B

2013

5.2B

2014

3B

2014

400M

2019

80M

-1%

2020

50M

Representing this company? Click here to claim and customize this page!

Reviews About LeanData

LeanData WIKI

Apply to get your Tech Company News Page live on HackerNoon.com today!

Light-Mode

Classic

Newspaper

Minty

Dark-Mode

Neon Noir

Minty

HN StartUps