The AI Paradox: Bringing Common-sense Understanding to Machines
Artificial intelligence is rapidly transitioning from the realm of science fiction to the reality of our daily lives. Our devices understand what we say, speak to us, and translate between languages with ever increasing fluency. AI-powered visual recognition algorithms are outperforming people and beginning to find applications in everything from...
The Rise of the “Citizen Data Scientist”
By Nathan Korda IDC estimates worldwide data volume is set to rise by 61% between 2018 and 2025 – eventually reaching 175 zettabytes – with much of this generated by businesses. So how can this be harnessed to optimize business processes, improve day-to-day operations and inform decision-making? The answer lies...
Pain & Label:
The Machine Learning (ML) revolution is here. It seems like every company and technical team wants to join this new wave of innovation. But what’s the first step? At Sixgill, after setting out to infuse ML capabilities throughout our data automation product suite, we hit an obstacle that surprised us. It wasn’t...
Steering Clear of the 5%: Why So Many AI Implementations Fail
A recent McKinsey report highlighted that only 5% of businesses worldwide have successfully incorporated artificial intelligence (AI) into their processes and offerings. Despite enthusiastic adoption and significant financial investments, many AI implementations are failing. One would think that with the ubiquity of AI as a topic and the emergence of...
The Potential Pitfalls of DIY Speech Analytics
Organizations are building in-house data science or Artificial Intelligence teams to use emerging technology and techniques to harness the power of their data. With the growth of these internal data science teams, companies want greater control of all aspects their data programs so they’re more nimble and effective. If done...
How Artificial Intelligence is Empowering Aspiring Musicians
Only a few years ago, aspiring artists who wanted to break into the music industry had the same narrow pathway to success: Recording songs in a studio, sending their demos to A&R reps at record labels around the country, and hoping that they get discovered. But technology has disrupted the...
A Smart Approach to Patenting an Intelligent System
The age of implementation. That is what the prominent Chinese venture capitalist Kai-Fu Lee calls the current stage of AI development. Computer scientists generally agree that robot overlords, if they ever come, are in the very distant future. That said, recent developments in deep learning have shown jaw-dropping pattern recognition...
Real-world Personas
Until today, there’s been a significant gap between online personas and what actually happens in the real world. Unfortunately, the limits of only deriving information from online searches and website visits means web personas are in danger of being overly skewed to an aspect of a visitor’s life that is...
Terry Sejnowski on the Future of Machine Learning
In his new book, The Deep Learning Revolution, Terry Sejnowski explains how deep learning went from being an arcane academic field to a disruptive technology in the information economy. Sejnowski played an important role in the founding of deep learning, as one of a small group of researchers in the 1980s...
Getting Through AI’s Winters
Artificial intelligence has been a dream and a goal of computer science for quite some time. Throughout the decades there have been several advances in capabilities, research, and understanding of the topic. Applications were even developed and deployed. After most of these advances, however, the initial enthusiasm gave way to...
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