Dubbed as Amazon AI, the new service offers powerful AI capabilities such as image analysis, text to speech conversion, and natural language processing. On the analytics front, Amazon is adding a new interactive, serverless query service called Amazon Athena that can be used to retrieve data stored in Amazon S3. With this, customers can run and manage workloads in the cloud, seamlessly from existing VMware tools. Extending Lambda to connected devices, AWS has announced AWS Greengrass – an embedded Lambda compute environment that can be installed in IoT devices and hubs.

How The'Silly' Irish Founders At Intercom Built One Of Silicon Valley's Fastest-Growing Businesses At the AWS re:Invent event, Amazon has announced a host of new services that highlight its commitment to enterprises. Andy Jassy, CEO of AWS, emphasized on the innovation in the areas of artificial intelligence, analytics, and hybrid cloud. Amazon has been using deep learning and artificial intelligence in its retail business for enhancing the customer experience. The company claims that it has thousands of engineers working on artificial intelligence to improve search and discovery, fulfillment and logistics, product recommendations, and inventory management. Amazon is now bringing the same expertise to the cloud to expose the APIs that developers can consume to build intelligent applications.

Artificial Intelligence (AI) is changing everything from marketing to healthcare. And this holiday season is the beginning of the future for how marketers will leverage AI to better understand, connect with, and create superior experiences for consumers. To better appreciate the impact that AI is having on retailers, I connected with IBM's first CMO, Michelle Peluso. Peluso has a strong background in retail, having served at the CEO of Gilt as well as the Global Consumer Chief Marketing and Internet Officer at Citigroup. Peluso provides her thoughts below on how Watson's AI capability is changing the way retailers impact the consumer shopping experience.

Overnight Tech: Walden leads E&C gavel race Lawmakers address AI concerns Senators ... Amazon's image recognition AI can identify your dog down to its breed Stay up-to-date on the topics you care about. We'll send you an email alert whenever a news article matches your alert term. It's free, and you can add new alerts at any time.

Want to watch this again later? Report Need to report the video? Report Need to report the video? Need to report the video? This feature is not available right now.

Do you know that many of the artificially-intelligent things we use in our everyday, quotidian lives "learned" how to "think" to varying degrees by studying the emails of some of the most craven and degraded capitalists in our deeply weird corporate history? Brooklyn's Sam Lavigne and Tega Brain have a new piece of internet art out called The Good Life (Enron Simulator). We first told you about it back in August, right after it won a Rhizome Net Art Microgrant. You input your email into a very Windows 95-looking website and the site sends you each of the 500,000 publicly-available emails from the Enron archives in the order they were sent. You can choose to receive these emails over the course of seven days, 30 days, one year or seven years. Depending on your choice, you'll receive somewhere between 100,000 and 196 emails per day.

Pokeman Go has been a raging success. But its launch was marred by frequent downtimes and dropped connections. In a recent chat at the Google Cloud Platform Next Conference, Niantic CTO Phil Keslin talked about the "hair on fire" experience where the team had to firefight and upgrade key components on the live production system in order to handle the unexpected surge in new users joining in. Among the various upgrades made to the system, Niantic had to replace the network load balancer with a much more sophisticated HTTP/S load balancing system that could handle a larger overall throughput and offer faster connections. Keslin says that this timely upgrade made it possible for his team to launch in Japan without an incident although the number of new user signups at this point was triple what it was during their earlier US launch.

We've already published the top big data presentations on slideshare, as well as great Github list of public data sets, or top machine learning projects, or top R packages. We've asked our readers to share a list of top Data Science videos on YouTube. Here, we share a list of top data science presentations from VideoLectures.net. These presentations received 5 to 20 times fewer page views than those on Slideshare, because they are far more technical, and attract a different, truly technical audience. You can check the entire list here.

This was the subject of a question asked on Quora: What are the top 10 data mining or machine learning algorithms? Some modern algorithms such as collaborative filtering, recommendation engine, segmentation, or attribution modeling, are missing from the lists below. Algorithms from graph theory (to find the shortest path in a graph, or to detect connected components), from operations research (the simplex, to optimize the supply chain), or from time series, are not listed either. And I could not find MCM (Markov Chain Monte Carlo) and related algorithms used to process hierarchical, spatio-temporal and other Bayesian models. For the last one I'd let you pick one of the following: For the last one I'd let you pick one of the following: My point of view is of course biased, but I would like to also add some algorithms developed or re-developed at the Data Science Central's research lab: These algorithms are described in the article What you wont learn in statistics classes.

The federal government's highway safety agency agrees with Google: Computers that will control the cars of the future can be considered their driver. The redefinition of "driver" is an important break for Google. Companies like Visteon (NYSE: VC), which makes infotainment systems and connected car solutions, is already working with leading automakers like Ford, Mazda, Renault/Nissan, GM, Jaguar Land Rover, Honda, BMW, Daimler, PSA and Volkswagen. The company is working on making it easier for automakers to update apps in cars but also add a layer of cyber security to the infotainment system. More apps in cars mean more cybersecurity threats.