Alegion Blog

POST FILTERED BY TOPIC: 'ml-learning'

 

7 tips to being AI ready

| Author Don Roedner, tagged in Agile AI, ai bias, ml learning

We produce quality training data for computer vision and natural language processing, which means we have a lot of experience with machine learning projects throughout their lifecycle. Our experience with firsttime ML project teams has given us valuable insights into the kinds of approaches that foster project success and the obstacles that can cause costly delays and even project failure. Data scientists are well aware of the best approaches, the ugly obstacles, and what it takes to be AI-ready. Does the rest of the organization?

Read more

What Experts had to say About AI in 2018

| Author Don Roedner, tagged in ml learning, Artificial Intelligence

Artificial Intelligence continues to be one of the hottest and most controversial topics covered by technology analysts and researchers in 2018. By the end of the year, most of us use some form of AI in our individual lives everyday. Everytime we ask Alexa how many tablespoons are in a cup or follow a recommendation made by Netflix or Amazon, we are interacting with and using AI. in fact, everytime you follow a recommendation you are training that AI, ensuring it makes better and better recommendations for you over time.

Read more

Measurement bias

| Author Don Roedner, tagged in ai bias, ml learning

Let’s tie a bow on this thing. To review, we’ve talked about the model, sampling, and prejudice. The final type of bias we will discuss is the most fundamental. In the other posts on data bias it was assumed that the data - with or without biased content - was accurately captured. This final post is about distortion stemming from the data’s collection or creation.

Read more

Prejudicial Bias

| Author Don Roedner, tagged in ai bias, ml learning, Artificial Intelligence

This is the fourth in a series of posts about the effects of bias on ML algorithms. In the previous post we discussed what happens when you train an algorithm with data that isn’t representative of the universe the algorithm will operate in. This week’s focus in on the effects of human prejudice on machine learning.

Read more

We've just announced the Alegion Training Data Platform

| Author Don Roedner, tagged in Press, ml learning, Artificial Intelligence

We were excited to announce this morning that we've significantly enhanced the Alegion Training Data Platform. The new capabilities delivered with this release target the quality and efficiency requirements of large-scale machine learning initiatives.

You can read the press release below, and if you want to learn more about the Alegion Training Data Platform our website has a dedicated page here.   

 

Alegion Announces Next-Generation Training Data Platform for Enterprise Artificial Intelligence (AI) Initiatives

Read more

Define the Problem then Create the Solution

| Author Alegion, tagged in Artificial Intelligence, machine learning challenges, Uncategorized, Machine learning, ml learning

Machine learning (ML) enables computers to “discover patterns and relationships in data instead of being manually programmed.” This science to date is already impacting the way we live, “driving everything from Netflix recommendations to autonomous cars.” However, the more experiences that are built with ML, the more obvious it becomes that UXers are still in a learning phase when it comes to controlling the technology.

Read more

Explore Structured Data and Artificial Intelligence News

Subscribe to the Alegion blog to get the latest insights about artificial intelligence and machine learning.