Partner Content Articles and Reports
This section features our sponsored interviews, articles, reports in partnership with some of the most exciting brands in artificial intelligence. Explore our library of partner content below:
While customer service is making its way to Facebook Messenger and other burgeoning platforms - a massive percentage of customer support inquiries are handled the way they have been for years: Over the phone or on chat.
A 2017 Tractica report on the natural language processing (NLP) market estimates the total NLP software, hardware, and services market opportunity to be around $22.3 billion by 2025. The report also forecasts that NLP software solutions leveraging AI will see a market growth from $136 million in 2016 to $5.4 billion by 2025.
When we search on Google or Amazon, we’re reminded of the improved capabilities of artificial intelligence over the last half decade.
What we often don’t realize is the role that human beings have in tagging and manually working through near-infinite reams of data to develop genuinely relevant search.
Sure, data scientists and ML specialists must construct a search system - but for the time being - much of the “human-like” results that we get in the world of social media, search engines, and Commerce - comes from - well, humans.
This week on AI in Industry we interview Vito Vishnepolsky of ClickWorker. Clickworker is a large and well-rated microtasking marketplace. Clickworker cloud technology platform caters data management and web research services as well as AI algorithms training. The firm claims to have over one million workers on its global platform as of September 2017.
Vito’s perspective is valuable because he has a finger on the pulse of crowdsourced demand, handing business development for various crowdsourced AI support services - both for tech giants and startups.
The following article has been written by Josh Sutton, Global Head, Data & Artificial Intelligence at Publicis.Sapient. Publicis is one of the world's largest. Editing and formatting added by the Emerj team. For information about our thought leadership and publishing arrangements with brands, please visit our partnerships page.
The recent renaissance of machine learning promises to transform the data-rich world of healthcare, and there are hardly any healthcare segments more excited than the pharmaceutical industry.