The topic has come up on many episodes of "The Marketing Garage" -- our podcast that talks to marketing executives about their technology -- as the tech marketers are most excited for in the future. "A lot of lead scoring is going to be improved significantly with AI," says Zhou. As an example, she points to Harley Davidson, which increased sales leads over 2000 percent by using a system that scored leads "in a much more intelligent way." "Toyota recently started to create AI-generated ads," she explains.

An early dive into the Internet of Things landscape yielded sweet rewards for The Hershey Company once the chocolate manufacturer began tracking the weight of Twizzlers during production. Morinigo said the advent of scalable cloud-based analytics – Microsoft Azure Machine Learning, in this case – became a catalyst for the Twizzlers project because it reduced technical barriers involved in implementing data science capabilities. At New Signature, a Microsoft systems integrator, Morinigo said he was able to build an IoT and advanced analytics team because he felt the scalability of the cloud finally enabled business intelligence initiatives for significant success. Completed in just two weeks, the first model built by Hershey and New Signature achieved 60 percent accuracy – not perfect, but a step in the right direction when it came to implementing IoT.

Your organization is looking for ways to engage more closely with customers, improve decision making, improve the operational efficiency of manufacturing, or deliver better patient healthcare outcomes. We define "dark data" as large, often unstructured, data sets collected and stored from both internal and external sources that is not currently being used to create insights that deliver business value. Companies are struggling to adapt their data management architectures to handle the volume and velocity. You need the power of Artificial Intelligence and machine learning tools, to automate the understanding, management, and the extraction of valuable information from dark data.

With major technology companies and startups seriously embracing Cloud strategies, now is the perfect time to attend 21st Cloud Expo, October 31 - November 2, 2017, at the Santa Clara Convention Center, CA, and June 12-14, 2018, at the Javits Center in New York City, NY, and learn what is going on, contribute to the discussions, and ensure that your enterprise is on the right path to Digital Transformation. With major technology companies and startups seriously embracing Cloud strategies, now is the perfect time to attend @CloudExpo @ThingsExpo, October 31 - November 2, 2017, at the Santa Clara Convention Center, CA, and June 12-4, 2018, at the Javits Center in New York City, NY, and learn what is going on, contribute to the discussions, and ensure that your enterprise is on the right path to Digital Transformation. Join Cloud Expo @ThingsExpo conference chair Roger Strukhoff (@IoT2040), October 31 - November 2, 2017, Santa Clara Convention Center, CA, and June 12-14, 2018, at the Javits Center in New York City, NY, for three days of intense Enterprise Cloud and'Digital Transformation' discussion and focus, including Big Data's indispensable role in IoT, Smart Grids and (IIoT) Industrial Internet of Things, Wearables and Consumer IoT, as well as (new) Digital Transformation in Vertical Markets. Accordingly, attendees at the upcoming 21st Cloud Expo @ThingsExpo October 31 - November 2, 2017, Santa Clara Convention Center, CA, and June 12-14, 2018, at the Javits Center in New York City, NY, will find fresh new content in a new track called FinTech, which will incorporate machine learning, artificial intelligence, deep learning, and blockchain into one track.

The read and write operations are based on the attention mechanism which identifies the memory location to read and write. To read a memory location, a attention vector, whose size tantamount to the memory size, will specify the magnitude of the each memory states should be extracted. The final read-out vector will be the weighted sum of the attention vector and the memory vector.

HONG KONG (Reuters) - China's Tencent Holdings and Guangzhou Automobile Group Company Ltd have agreed to collaborate on internet-connected cars - a strategic pact that sent shares in Guangzhou Auto surging. Earlier this year, Tencent bought 5 percent of U.S. electric car maker Tesla Inc for $1.78 billion. Tencent and Guangzhou Auto will work together to develop internet-connected cars and artificial intelligence-aided driving, as well as explore investment in areas such as auto-related e-commerce, so-called new energy cars and auto insurance, the automaker said in a filing late on Monday. Hong Kong-listed shares of Guangzhou Auto were trading 5 percent higher on Tuesday morning.

By bringing Machine Learning to log analysis, the systems become smart by becoming proactive. Sensing the opportunity in algorithmic log management, a few startups have built viable business models in the space of Security Information and Event Management (SIEM). Perspica, the San Jose-based startup was found in 2014 by JF Huard, ex-CTO of Netuitive, Inc. Like most of its competitors, it promises to deliver artificial intelligence powered analytics and observability for TechOps and DevOps. It integrates with mainstream monitoring systems, log aggregation engines and Big Data platforms.

The backdrop for Benioff's comments was debate around the impact of technology and innovation on the UN's 17 Sustainable Development Goals (SDGs). Benioff cited recent comments made by Russian President Vladimir Putin to the effect that the country that controls mastery of AI can control the world. In San Francisco, we have taxis without taxi drivers, buses without bus drivers, trucks without truck drivers, cargo ships without crews. There was a wider sustainable development and innovation debate that went on, which we'll pick up on tomorrow, but the idea of AI as a basic human right is a very interesting topic in its own right.

Industrial robots have been around for decades and they've pretty much had the robot space to themselves. Recently, however, that has changed: Agribots, service robots, robo-advisors, drones and co-bots are now part of automation's landscape. Soon, more descendants of industrial robots will be rolling, or walking, out of laboratories and into the real world. Between 2010 and 2015, sales of industrial robots increased 16% a year.

By harnessing the power of cognitive computing, Digital Reasoning helps organisations and people make better decisions. Their cloud based SaaS solution is today being used by investment managers to harness it's machine learning abilities to deliver maximum returns to clients. The world leader in Behaviour Analytics technology, Featurespace's ARIC platform helps monitor customer data in real time. Featurespace's solution helps monitor all player data in real time to determine who is at risk of overstepping his limits to ensure timely intervention.The company has won several notable awards for helping promote responsible gambling across the world.