All posts tagged: AI

Digamma.ai CEO Q&A Series: Jarrod Wolf of AddStructure

Leave a comment
Artificial Intelligence / Machine Learning
NLU

Digamma.ai CEO Q&A Series: Interview with Jarrod Wolf, co-founder of AddStructure 1. How are you looking to fundamentally change the customer shopping experience through Addstructure? With our technology we’re hoping to make the shopping experience much more seamless. Imagine looking at your phone and using your voice to speak. As you’re speaking, the product mix that is being displayed to you is updating in real time. You can say something like, “I’m looking for a […]

Digamma.ai CEO Q&A Series: Mark Chung of Verdigris

Leave a comment
Artificial Intelligence / Machine Learning
Verdigris

Digamma.ai CEO Q&A Series: Interview with Mark Chung, CEO and Co-Founder at Verdigris. 1. Verdigris provides real-time energy intelligence for facilities managers, enabling them to react faster with device-level monitoring and real-time alerts. What are the implications of your company’s technology on the building industry and to a larger extent, the environment? We target mission-critical facilities like distribution centers, factories, and even hotels because they are sources of major power consumption and often struggle to […]

The Five Food and Restaurant AI Chatbots You Should Know About

Leave a comment
Artificial Intelligence / chatbot / Machine Learning
ai-chatbots

Facebook Messenger chatbots have major potential, even if the field is relatively nascent one.  With Facebook launching Discover, a hub inside Messenger for discovering new and interesting chatbots to message with, there’s no excuse not to try out a new chatbot this summer — especially a food-related one. From analyzing your receipts to providing awesome restaurant recommendations, the following list represents a veritable freshmen class of powerful, value-adding, food and restaurants AI chatbots. Lunchcat Lunchcat, created by […]

Machine Learning Consultants Digamma.ai Team Up With Udacity to Address the AI Knowledge Gap

Leave a comment
Artificial Intelligence / Machine Learning
machine-learning-consultants

The artificial intelligence and machine learning community is quickly becoming one of the most dynamic, exciting and global ones. VCs have been fast to take notice of what is not just a passing trend, but an indicator of just how much artificial intelligence is positioned to change fundamental aspects of our society, from the division of labour to how we make decisions on a day-to-day basis. In fact, the number of VC-backed investments in AI […]

How AI and Machine Learning Will Revolutionize the Health Industry

Leave a comment
Artificial Intelligence / Healthcare / Machine Learning
machine-learning

Imagine if humans could train themselves to give more precise diagnoses. Over time, medical misdiagnosis would abate, save countless lives, and not to mention save hospitals, patients, and their families millions of dollars every year. Pharmaceutical industries, too, would be able to keep their stock orders in far more accurate conditions, keeping their reserves continuously maintained for predictive demand. Now consider that in the distant future, your surgery could be performed by an enhanced robot. […]

Nobody To Hire? The Real-Life Artificial Intelligence Developer Talent Grab

Leave a comment
Artificial Intelligence / Machine Learning
artificial intelligence

2017 has been dubbed the year of artificial intelligence. Deloitte’s 2017 Global Human Capital Trends report claims that AI has “revolutionized” the way people work and live while remaining vague on the details of how. If our media is any indication of what trends are here to stay, AI and machine learning technologies are it—and their staying power appears to be multiplying. From our driving, socializing and working habits, AI seems to be touching—or slowly […]

What is the Difference Between Machine Learning and Big Data?

Leave a comment
Artificial Intelligence / Big Data / Machine Learning
machine-learning

Machine learning has been around for a while. What has made it less attractive — until now — has been the absence of large and robust datasets. Probably one of the most famous quotes defending the power of data is that of Google’s Research Director Peter Norvig claiming that “we don’t have better algorithms. We just have more data.” In essence, the recent explosion of machine learning has been largely due to the availability of […]