Tanya Wehr, Author at digamma.ai

Author: Tanya Wehr

The Five Food and Restaurant AI Chatbots You Should Know About

June 30, 2017

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 […]

Digamma.ai CEO Q&A Series: Michal Wroczynski of Fido.ai

June 27, 2017

by Tanya Wehr

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Artificial Intelligence

Digamma.ai CEO Q&A Series: Interview with Michal Wroczynski, CEO and founder at Fido Labs 1. Fido’s technology powers chatbots so that they can learn automatically from the internet and answer complex business questions based on a large volume of text. Tell me about how Fido got started in the first place and your novel approach in teaching machines how to reason more like humans. In 2003, we co-founded Fido Interactive and implemented many commercial projects of AI […]

Digamma.ai Q&A Series: Vsevolod Dyomkin of (m8n)ware

June 26, 2017

by Tanya Wehr

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Artificial Intelligence

Digamma.ai Q&A Series: Interview with Vsevolod Dyomkin 1. Grammarly is a commercial product. While developing it, did you encounter any interesting challenges and obtain any interesting research results in the NLP area? Did any interesting academic results arise from the development process or was the work purely an application of existing NLP algorithms? Grammarly operates in a field that is both down-to-earth and also has a history of relevant academic research. In addition to its […]

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

May 29, 2017

by Tanya Wehr

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Artificial Intelligence / Machine Learning

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 […]

Two Artificial Intelligence Trends That Will Change the World — And How To Benefit From Them (Part II)

May 4, 2017

by Tanya Wehr

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Artificial Intelligence / Big Data / Machine Learning

Continued from Part I: Two Artificial Intelligence Trends That Will Change the World — And How To Benefit From Them 2. AI Will Touch and Change Nearly Every Job, Even White Collar Ones Blue collar jobs previously thought vulnerable to AI are now not the only ones. In fact, AI is already disrupting white collar industries and many professional jobs aren’t as safe as once thought. As Erik Sherman at Fortune commented, “researchers are beginning […]

How AI and Machine Learning Will Revolutionize the Health Industry

April 27, 2017

by Tanya Wehr

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Artificial Intelligence / Healthcare / 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. […]

Two AI Trends That Will Change the World — And How To Benefit From Them (Part I)

April 14, 2017

by Tanya Wehr

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Artificial Intelligence / Big Data / Machine Learning

In a recent interview of Andrew Ng and Neil Jacobstein on AI, Wall Street Journal reporter Scott Austin claimed that, “artificial intelligence is shaping up as the next industrial revolution, poised to rapidly reinvent business, the global economy and how people work and interact with each other.” Andrew Ng is chief scientist at Chinese internet giant Baidu Inc. and co-founder of the education startup Coursera. Neil Jacobstein is chair of the artificial intelligence and robotics department […]

5 Ways Artificial Intelligence Can Make Your Business More Profitable

April 12, 2017

by Tanya Wehr

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Artificial Intelligence / Big Data / Machine Learning

1. Automation Artificial intelligence is becoming so advanced that we’re currently seeing honorary disciplines being aided, though not yet replaced, with computerized assistance. Some customary journalistic tasks are already being carried out by AI, such as summarizing reports, analysis, and pulling data from A to B to gauge further intelligence. Other advancements are being made within the administrative field at a growing rate, with AI able to schedule meetings, note down important items, and take […]

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

April 12, 2017

by Tanya Wehr

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Artificial Intelligence / Machine Learning

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?

April 12, 2017

by Tanya Wehr

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Artificial Intelligence / Big Data / 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 […]