How LinkedIn Uses AI to Optimize the User Experience

How LinkedIn Uses AI to Optimize the User Experience

Last Friday I attended a keynote at the AI NextCon conference presented by Romer Rosales, Director of AI at LinkedIn.  His presentation focused on how LinkedIn is using AI to drive their vision to ensure that “every professional interaction with LinkedIn is personal, relevant, and helps to provide opportunity”. Rosales explained that AI is behind almost everything a user sees …

Here's How Machine Learning Will Impact Healthcare

Here's How Machine Learning Will Impact Healthcare [Infographic]

With $150 billion expected to be spent by the healthcare industry on AI deployment and tools over the next decade, machine learning is set to transform the industry. Healthcare innovators see the potential for machine learning to dramatically improve administrative functions, pharmaceutical research, clinical decision making, and patient monitoring. These enhancements will lead to more positive outcomes for patients, and …

Recent Developments in Neural Networks

Recent Developments in Neural Networks

An artificial neural network is a computer simulation that attempts to model the processes of the human brain in order to imitate the way in which it learns. Such systems essentially teach themselves by considering examples, generally without task-specific programming by humans, and then use a corrective feedback loop to improve their performance. This process, known as deep learning, is a …

Why High-Quality Data Matters for Your Machine Learning-Based Product

Why High-Quality Data Matters for Your Machine Learning-Based Product

WEBINAR Got Data? The Importance of High-Quality Data for Building Effective Machine Learning-Based Solutions Wed Apr 4 – 1:00pm Eastern / 10:00am Pacific Register   When it comes to annotating data for academic purposes, there are specific industry standards that are commonly used.  However, when it comes to the commercial sector, building a solution that relies on machine learning requires different …

5 Machine Learning Use Cases that are Making a Difference in the Business World

5 Machine Learning Use Cases that are Making a Difference in the Business World

Companies that are using machine learning are starting to reap the rewards and transform the way they do business. Machine learning is allowing businesses to optimize operations, deliver better customer experiences, enhance security and more. As enterprises race to stand out from the competition and do more with the same resources, machine learning is becoming an important investment. Here are …

Global Tech Firm Expands into New Markets with Enhanced Speech System [Case Study]

Global Tech Firm Expands into New Markets with Enhanced Speech System [Case Study]

When designing a voice recognition system, it’s important that the speech system understands everyone speaking to it. But what happens when a speech recognition system doesn’t account for children’s speech? Most speech recognition platforms are only designed with adults in mind. Children’s speech is very different than adult speech, and not all speech recognition devices are well-equipped to deal with …

Deep Learning in the Enterprise Insights from AI Expo 2017

Deep Learning in the Enterprise: Insights from AI Expo 2017

I recently attended a keynote session at the AI Expo called “The Application of Deep Learning within an Enterprise”, a panel featuring speakers across a variety of industries.  The executives on the panel highlighted a wide variety of use cases for machine learning in their organizations, beyond what one would expect. For example, Vadim Kutsyy, Distinguished Architect, Data Science from …

Why Human-Annotated Data is Key 3 Use Cases

Why Human-Annotated Data is Key to Machine Learning: 3 Use Cases

Are you looking to improve the quality of your training data? Human-annotated data is the key to successful machine learning – humans are simply better than computers at managing subjectivity, understanding intent, and coping with ambiguity. For over 20 years, we’ve been helping clients optimize their machine learning models with our global, curated crowd of more than 400,000 people. Read …

From Self-Driving Cars to Social Media Appen Shapes Tomorrow’s Technology

From Self-Driving Cars to Social Media, Appen Shapes Tomorrow’s Technology

Tammy Garves and Phil Hall are Appen’s Senior Vice Presidents, the counterparts at the helm of the two main divisions of our company. Tammy leads our Content Relevance team. Phil heads up Language Resources. We caught up with them recently to talk about their respective teams, along with industry trends, predictions, and why they like working at Appen. Appen: So, …