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Episode 4: Bias in ML

In this podcast episode, we discuss helpful mathematical bias and examples ...

5 Key takeaways from Trade show season

Trade show season has begun and these conferences continually demonstrate t...

Machine Learning for the Enterprise

This emerging world of AI runs on data. Learn how to properly prepare your ...

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Podcast

Bias in ML - The Good, the Bad, & the Ugly

Did you know that not all bias in machine learning (ML) is bad? In fact, th...

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Supervised vs Unsupervised Learning

When discussing machine learning development approaches, data scientists of...

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Is data the new oil?

Have you heard that “Data is the new oil”? It sounds cool, but what does it...

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AI vs Machine Learning

Welcome to our first episode of No BiaS, where we discuss different perspec...

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News

The key to a more human-like Amazon Alexa is ...

Data labeling has given rise to a cottage industry dominated by startups li...

Press coverage content for Resources page Press ...

The team here at insideBIGDATA is deeply entrenched in following the big da...

The Future of AI and Cybersecurity

Have you ever wondered how AI (artificial intelligence) is both a friend an...

Big Data Meltdown: How Unclean, Unlabeled, and ...

We may be living in the fourth industrial age and on cusp of huge advances ...

Poor data quality causing majority of artificial ...

A majority of enterprises engaged in artificial intelligence and machine le...

9 Indicators Of The State Of Artificial ...

85% of US CEOs and business leaders are AI optimists; 87% are investing in ...

AI/ML ramps up despite training challenges

A new survey commissioned by Alegion reveals that 8 out of 10 companies ha...

Making Educated Purchasing Decisions Easier

Salesforce.com has added a new AI learning module to its Trailhead develope...

Alegion: Where human insight trains machine ...

Alegion knows labels may be problematic when applied to people, but supreme...

96% of organizations run into problems with AI ...

The worldwide spending on artificial intelligence (AI) systems is predicted...

FRESH DATA: 96% of AI/ML Projects Have Training ...

Nearly eight in 10 organizations rolling out AI and machine learning experi...

Press coverage content for Resources page Press ...

Nearly eight out of 10 enterprise organizations currently engaged in artifi...

Press coverage content for Resources page Press ...

For many organizations, AI and machine learning are seen as a route to grea...

Faulty Data is Stalling AI Projects

Tens of billions will be spent this year on AI development, but those effor...

Almost eight out of 10 AI and ML projects stall, ...

While AI and machine-learning (ML) projects are a high priority for many co...

AI Projects Stalled by Messy Data

Tens of billions will be spent this year on AI development, but those effor...

Research finds Artificial Intelligence is still ...

IDC predicts worldwide spending on artificial intelligence (AI) systems wil...

MOST ORGANISATIONS ARE FACING PROBLEMS DUE TO ...

As we know, digital transformation has taken over the world, the worldwide ...

Survey: 96% of Enterprises Encounter Training ...

IDC predicts worldwide spending on artificial intelligence (AI) systems wi...

3 Non-Obvious Keys to Being AI Ready

Media coverage of AI would have us believe that it is being driven at full ...

3 Ways AI Projects Get Derailed, and How to Stop ...

In the blink of an eye, AI has gone from novelty to urgency. Tech leaders a...

5 Roadblocks to Getting an ML System in Production

We typically meet an organization’s data science team after they’ve carried...

837: Why AI Training Datasets Should Resemble an ...

A recent Deloitte survey found that 76 percent of executives believe AI wil...

How Can You Be AI Ready?

For many organizations, it is the inability to reach the desired confidence...

5 Ways to Improve AI/ML Deployments

In January 2019, Gartner released a survey where 37% of respondents said th...

A 'Pre-Flight Checklist' for Machine Learning ...

Machine learning is often key to success for today’s institutions that rely...

Data labeling for AI is set to become a ...

In the 1950s, 400–500 Americans died every year from measles and another 10...

AI can be trusted to take our 911 calls

Your first reaction is probably no, but you should reconsider, and here’s w...

Alegion Outlines the 4 Most Prevalent Types of AI ...

AI systems are becoming more and more the norm as machine and deep learning...

Training Data: Why Scale Is Critical for Your AI ...

Data is the fuel that drives AI. But there’s a big difference in the qualit...

2019 Predictions for Machine Learning Projects

With all of the hype surrounding AI you might reasonably expect us to exit ...

The Three Scariest Parts of AI

Your job can be unpredictable. One day…. the AI project mandated by the bo...

Alegion Wins Silver in Best in Biz Awards 2018

Alegion named a Best in Biz Award Silver Winner in the Enterprise Product o...

In the Coming Automated Economy, People Will Work ...

In Texas, a company called Alegion is helping disabled veterans take part i...

Disabled veterans find work training AI

For a month, two disabled veterans in Texas labeled photos taken by drones,...

Austin AI firm Alegion partners with nonprofit to ...

Austin AI firm Alegion partners with nonprofit to provide work for v

Reliable Training Data Still Needs a Human Touch

The evolution of enterprise AI and machine learning continues at an amazing...

Alegion Announces Next-Generation Training Data ...

Alegion, a training data platform for artificial intelligence (AI) and mach...

The Data that Drives the Drones: Interview with ...

For drones to make decisions in flight and operate autonomously, they need ...

Algorithmic bias top problem enterprises must ...

Most enterprises deploying AI tools today are aware of the potential risks ...

AI took center stage at VentureBeat’s inaugural ...

If one theme defined VentureBeat’s inaugural Transform conference on artifi...

Explore How to Detect and Address Machine ...

Artificial intelligence. Machine learning. It’s easy to consider sectors su...

4 Sources of Machine Learning Bias & How to ...

Artificial intelligence (AI) isn’t perfect. It exists as a combination of a...

AI Bias: It's in the Data, Not the Algorithm

An estimated 85 percent of all artificial intelligence (AI) projects will d...

Trained Data: The New Oil

Data is often referred to as the “oil” for AI. Used correctly, it can help...

AI Adoption Fuels Demand for Data-Labeling ...

As the use of artificial intelligence grows, so does demand for services th...

Three Ways Biased Data Can Ruin Your ML Models

Machine learning provides a powerful way to automate decision making, but t...

How to Accelerate ArtificiaI Intelligence ...

The explosion of artificial intelligence (AI) initiatives at enterprise com...

Press coverage content for Resources page Press ...

The AI market is projected to become a $190 billion industry by 2025 ( acco...