The Canadian artificial intelligence (AI) industry has been growing fast, and the country has been aiming for more through massive AI research. There are signs all over that Canada is already having an AI-driven digital economy as cities are emerging as hubs for AI labs and deep learning research. There is an increase in the number of AI startups in cities such as Montreal, Vancouver, and Toronto, among others. Canada has become a breeding ground for AI innovations. Inc. (NASDAQ: AMZN), Intel Corp (NASDAQ: INTC), and Uber Technologies (NYSE: UBER) have invested significantly in AI research in the country.

The data science revolution has important ethical underpinnings. The authors make a powerful case for the development of AI ethics as a subject in its own right. The Ethical Algorithm shows that apocalyptic predictions of an algorithmized society are far from inevitable. Anyone interested in AI should read and process this essential book.

Deepfake video featuring tech billionaires, Jeff Bezos and Elon Musk is doing rounds of the internet. The video which was shared by YouTube channel The Faking on the video streaming platform has received nearly four thousand likes till now. The video shows Bezos imposed on a body of one of the bulbous-headed alien race the Talosians while Musk plays the human captain Pike. The two are then seen talking about technology and human captivity. The Amazon CEO previously made a cameo appearance in 2016's Star Trek Beyond as the big-headed alien.

Lasse Rouhiainen is a best-selling author and international expert on artificial intelligence, disruptive technologies and digital marketing. Finnish in origin but based in Spain, Lasse focuses his work on investigating how companies and society in general can better adapt to, and benefit from, artificial intelligence. Lasse has given keynote presentations, seminars and workshops in more than 16 countries around the world and holds frequent conferences at several universities internationally. He has also provided training to thousands of students and businesses through online e-learning courses. Lasse has been a speaker at renowned seminars such as Mobile World Capital and TEDx, and has worked with top brands and institutions such as Michelin, Össur and the European Union Intellectual Property Office.

Teikametrics, a leading SaaS provider of AI-powered optimization for brands and sellers on Amazon and Walmart, today announced the completion of a $15 million strategic funding round backed by new and existing investors. The announcement follows Teikametrics' selection as one of Walmart's first exclusive advertising optimization partners, and the addition of Srinivas Guddanti, a 14-year senior Amazon veteran, as its Chief Product Officer. Jump Capital led the round and were joined by follow-on investments from Granite Point Capital, MIT Professor of Econometrics, Jerry Hausman, and the former Head of Growth at Facebook and Uber, Ed Baker. "We're thrilled to lead this new round of capital in Teikametrics," said Michael McMahon, founding partner of Jump Capital. "The Company has grown rapidly, and the success of its proprietary AI technology for Amazon is a strong proof point for a broader ecommerce platform opportunity. The partnership with Walmart is a landmark event and we are excited to fund the expansion of the Teikametrics platform across multiple ecommerce channels."

Chatbots and other artificial intelligence-assisted customer service tools continue to grow exponentially as retailers look to improve efficiencies. The benefits of chatbots and electronic systems for businesses are relatively straightforward: less time spent monitoring communication channels, less expensive customer service solutions, and even the ability to grow by converting potential customers. Some analysts believe chatbots -- and the evolving capabilities of AI -- could revolutionize industries and propel companies to new levels of success. One analysis found that the global chatbot market is expected to reach more than $10 billion by 2026. So that's the business side; it's pretty clear cut why organizations deploy automated solutions.

Teikametrics, a leading SaaS provider of AI-powered optimization for brands and sellers on Amazon and Walmart, announced the completion of a $15 million strategic funding round backed by new and existing investors. The announcement follows Teikametrics' selection as one of Walmart's first exclusive advertising optimization partners, and the addition of Srinivas Guddanti, a 14-year senior Amazon veteran, as its Chief Product Officer. "We're thrilled to lead this new round of capital in Teikametrics" Jump Capital led the round and were joined by follow-on investments from Granite Point Capital, MIT Professor of Econometrics, Jerry Hausman, and the former Head of Growth at Facebook and Uber, Ed Baker. "We're thrilled to lead this new round of capital in Teikametrics," said Michael McMahon, founding partner of Jump Capital. "The Company has grown rapidly, and the success of its proprietary AI technology for Amazon is a strong proof point for a broader ecommerce platform opportunity. The partnership with Walmart is a landmark event and we are excited to fund the expansion of the Teikametrics platform across multiple ecommerce channels."

USM We strive to deliver exceptional AI services & solutions to help clients meet their unique business objectives. USM We strive to deliver exceptional AI services & solutions to help clients meet their unique business objectives.

The National Health Care Anti-Fraud Association (NHCAA) estimates that healthcare fraud costs the nation approximately $68 billion annually--3% of the nation's $2.26 trillion in healthcare spending. This is a conservative estimate; other estimates range as high as 10% of annual healthcare expenditure, or $230 billion. Healthcare fraud inevitably results in higher premiums and out-of-pocket expenses for consumers, as well as reduced benefits or coverage. Labeling a claim as fraudulent could require a complex and detailed investigation. This post demonstrates how to train an Amazon SageMaker model to flag anomalous post-payment Medicare inpatient claims and target them for further investigation on suspicion of fraud. The solution doesn't need labeled data; it uses unsupervised machine learning (ML) to create a model to flag suspicious claims. This solution uses Amazon SageMaker, which provides developer and data scientists with the ability to build, train, and deploy ML models.

How do brands use Big Data & Machine Learning throughout the customer experience to improve their performance? We outline 3 ways to get started using data. Analysing the data that your business generates is vital to ensuring that you stay ahead in an increasingly competitive landscape. Businesses who adopt data-driven marketing are six times more likely to be profitable year-over-year, and they are more likely to have an advantage over competition (ADS, 2018). Today, data-driven marketing is either embedded or strategic for 78% of marketers and 64% of marketing executives are in strong agreement that data-driven marketing is crucial to success in a hyper-competitive global economy (CMO, 2016).