Get your team access to Udemy's top 2,500 courses anytime, anywhere. The main purpose of this course is to give students the ability to analyze and present data by using Azure Machine Learning, and to provide an introduction to the use of machine learning and big data. He is the South East Asia s First XNA/DirectX MVP (Most Valuable Professional). He had delivered sessions at various events and conferences in Hong Kong, Malaysia, Singapore, Sri Lanka and India.

In the previous article, we went over the basics of the impact that AI can have when introduced within the customer service industry along with some use cases. In this article, we take a look at the implementation and execution aspect of it as well as the benefits it entails for customer support agents along with support center management. Stinting on cost is the first priority for businesses as on today. When it comes to call center practices, it takes a good deal of money and time in hiring and training staff for customer service, as well as in erecting the whole brick-and-mortar infrastructure, even more if it isn't cloud-based. Just 10 support individuals can cost you as much as $35000, or even more if recruits frequently quit (attrition being quite high in the call center industry) -- which is a nightmare.

Pony.ai self-driving cars during a trial run in February in Guangzhou, China. Driverless cars could become a regular feature of the roads as early as April – at least in California, which has decided to allow fully autonomous vehicles to be tested on the roads (none of those pesky humans who have been present in test drives so far). Arizona has already become a fair-weather center for testing driverless vehicles, thanks in large part to the governor's support, and Uber announced last week that it has finished testing its self-driving trucks in Arizona and is now beginning to use them to move goods across the state. The British government launched a review last week of laws governing self-driving vehicles, with the aim of getting autonomous cars on the road by 2021, and other countries around the world are also experimenting with autonomous vehicles. Clearly a big step for the technology and automotive industries – no surprise that companies working on driverless vehicles include Google and Uber, as well as traditional automakers like Audi, BMW, Ford, GM, Volkswagen and Volvo – the advent of human-less driving could also redirect the traffic of our days, how we live our lives and get around.

"Man and machine always get a better answer than man alone or machine alone." "The robots are coming, the robots are coming!" said my colleague and artificial intelligence expert Kimberly Nevala in a tongue-in-cheek teaser for her new ebook, "Making Sense of AI." In fact, in the context of digital transformation and customer experience, artificial intelligence (AI) already has a foot in the door. And that foot is poised to kick the door wide open. IDC predicts that by 2019, 40 percent of digital transformation initiatives will be supported by some sort of cognitive computing or AI effort.

India has some of the finest engineering talent, with more than 1 million engineering students graduating each year, and there is every opportunity to use AI to help the economy blossom in every vertical beginning from healthcare to automobile to government services. There is a lot of hype about Artificial Intelligence (AI) and the fear it has unleashed. There is a lot of buzz that it would soon replace humans. But to be honest, there's no need to fear, not yet. But what is important to note is that AI is helping us become better at decision-making.

APART from highlighting the digital vulnerabilities in tertiary education institutions, the revelation of cyber attacks on four main Singaporean universities last week has caught the attention of cyber security experts. One of them is Stuart Fisher, the Senior Vice President of Deep Instinct, a cybersecurity startup that sees itself revolutionising the cybersecurity industry through the application of deep learning. To recap, the Cyber Security Agency of Singapore (CSA) and the country's Ministry of Education (MOE) said last week that they received information about the breaches affecting at least 52 online accounts. The incident was found to be a phishing attack where unsuspecting users were directed to a credential harvesting website. Credentials were then used to gain unauthorized access to the institutes' library website to obtain research articles published by staff.

The Convergence Thesis We strongly that blockchain technology will prove as the key underlying technology stack for the technologies that emerge with numerous applications on top of it. This view has been influenced by Outlier Ventures' Jamie Burke, who coined the term'convergence'. Blockchain provides an infrastructure for emergent trends like; IoT, 3D Printing, Autonomous Robotics (drones) to scale securely. More specifically, there are a handful of emerging technologies that hold the most promise for this blockchain-enabled convergence: - Artificial Intelligence (AI) - The Internet of Things (IoT) - Autonomous Robotics (Drones & Autonomous Vehicles) - Virtual Reality (VR) & Augmented Reality (AR) - 3D Printing It is the ability of blockchains to enable automated and intelligent M2M (machine-to-machine) networks that could transform design & manufacturing, distribution & logistics as well as retail & commerce. This will impact almost every supply chain from health to construction and manufacturing.

They will be "weapons of terror, used by terrorists and rogue states against civilian populations. Unlike human soldiers, they will follow any orders however evil," says Toby Walsh, professor of artificial intelligence at the University of New South Wales, Australia. "These will be weapons of mass destruction. One programmer and a 3D printer can do what previously took an army of people. They will industrialise war, changing the speed and duration of how we can fight. They will be able to kill 24-7 and they will kill faster than humans can act to defend themselves."

Creepy plans for creepy state-wide surveillance in China have moved a step closer, thanks to one of the country's leading tech firms. SenseTime, which works in partnership with Honda on automated vehicle research, has developed facial recognition CCTV technology already in use across China. The firm has tripled its worth in less than a year after a funding round, led by Alibaba, valued it at about $4.5 billion (£3.2 bn), people with knowledge of the matter said. SenseTime raised a record $600 million (£420 m) in the latest funding round, hot on the heels of a government push to make China an international leader in AI by 2025. Creepy plans for creepy state-wide surveillance in China have moved a step closer, thanks to one of the country's leading tech firms.

Over the weekend, experts on military artificial intelligence from more than 80 world governments converged on the U.N. offices in Geneva for the start of a week's talks on autonomous weapons systems. Many of them fear that after gunpowder and nuclear weapons, we are now on the brink of a "third revolution in warfare," heralded by killer robots--the fully autonomous weapons that could decide who to target and kill without human input. With autonomous technology already in development in several countries, the talks mark a crucial point for governments and activists who believe the U.N. should play a key role in regulating the technology. The meeting comes at a critical juncture. In July, Kalashnikov, the main defense contractor of the Russian government, announced it was developing a weapon that uses neural networks to make "shoot-no shoot" decisions.