The intelligence of machines and the branch of computer science which aims to create it

Artificial Intelligence Journal

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Leveraging AI for Cloud Management Businesses and business units of all sizes can benefit from cloud computing, but many don't want the cost, performance and security concerns of public cloud nor the complexity of building their own private clouds. Today, some cloud vendors are using artificial intelligence (AI) to simplify cloud deployment and management. In his session at 20th Cloud Expo, Ajay Gulati, Co-founder and CEO of ZeroStack, will discuss how AI can simplify cloud operations. He will cover the following topics: Why cloud management is a barrier to adoption The role of AI in cloud deployment The role of AI in cloud management How AI simplifies cloud operations Speaker Bio Ajay Gulati is Co-founder and CEO of ZeroStack, Inc. He leads ZeroStack's innovative team and corporate strategy. He was a senior architect and R&D lead at VMware where he designed flags... (more)

Digital Technologies Must Disappear in 2017 | @CloudExpo #Cloud #ArtificialIntelligence

Almost a year ago, I wrote these words, "Technology has reached the tipping point for me, it moved from a help to a hindrance." The plethora of adrenaline- and endorphin-inducing mobile apps, 24x7 news, notifications, alerts and updates, drip fed my brain and hindered my "deep work and deep thoughts." In Cal Newport's new book titled, Deep Work he posits that most knowledge workers need concentration and substantial time, dedicated and uninterrupted, to produce their best work. He argues that a lot of technologies and open office layouts today inhibit creativity, "deep work" and "deep thoughts," and are the very things that are most highly valued, and one of the key differentiators between humans and robots. Newport argues that we must understand and optimize the conditions that enable our brains to work best. To sum up his argument, constant drip feeding technolog... (more)

[video] Bert Loomis and #AI | @CloudExpo @IBMCloud @NVIDIA #ML #IoT

View General Session ▸ Here Download Slide Deck ▸ Here View General Session ▸ Here Download Slide Deck ▸ Here Big Things That Seem Small... Bert Loomis and AI in the Cloud Bert Loomis was a visionary. This general session will highlight how Bert Loomis and people like him inspire us to build great things with small inventions. View General Session ▸ Here Download Slide Deck ▸ Here In their general session at 19th Cloud Expo, Harold Hannon, Architect at IBM Bluemix, and Michael O'Neill, Strategic Business Development at Nvidia, will discuss the accelerating pace of AI development and how IBM Cloud and NVIDIA are partnering to bring AI capabilities to "every day," on-demand. They will also review two "free infrastructure" programs available to startups and innovators. View General Session ▸ Here Download Slide Deck ▸ Here Speaker Bios Harold Hannon has worked in the... (more)

[video] #DigitalTransformation with @BsquareCorp | @ThingsExpo #IoT #M2M

"Once customers get a year into their IoT deployments, they start to realize that they may have been shortsighted in the ways they built out their deployment, and the key thing I see a lot of people looking at is - how can I take equipment data, pull it back in an IoT solution and show it in a dashboard," stated Dave McCarthy, Director of Products at Bsquare Corporation, in this SYS-CON.tv interview at @ThingsExpo, held November 1-3, 2016, at the Santa Clara Convention Center in Santa Clara, CA. The World's Largest "Cloud Digital Transformation" Event @CloudExpo / @ThingsExpo 2017 New York (June 6-8, 2017, Javits Center, Manhattan) @CloudExpo / @ThingsExpo 2017 Silicon Valley (Oct. 31 - Nov. 2, 2017, Santa Clara Convention Center, CA) Full Conference Registration Gold Pass and Exhibit Hall ▸ Here Register For @CloudExpo ▸ Here via EventBrite Register For @ThingsExpo ▸... (more)

Artificial Intelligence – Myth or Reality | @CloudExpo #AI #ML #DL #IoT

Way back in 1969, as a kid, I watched a very interesting movie - "2001: A Space Odyssey." It was a science fiction where a super intelligent computer program HAL is in charge of a mission to Jupiter which also carries several astronauts. The program becomes rogue and tries to kill all the astronauts. The hero survives and manages to disable the program. There is a lot more to the plot, but the fight between human and computer is still vivid in my memory. In 1969, such a scenario looked possible. After all 32 years is a lot of time given the rate of our progress. We are now in 2016, and it appears that something similar may happen in the next 32 years. Even the experts have been predicting that Artificial Intelligence or AI will happen in next 20 years. The irony is that this prediction is being made for more than 60 years now! So, earlier it was "unbelievable but v... (more)

Security and #MachineLearning | @CloudExpo #ML #AI #DL #CyberSecurity

Machine Learning May Be the Solution to Enterprise Security Woes By Karl Zimmerman For large enterprise organizations, it can be next-to-impossible to identify attacks and act to mitigate them in good time. That's one of the reasons executives often discover security breaches when an external researcher - or worse, a journalist - gets in touch to ask why hundreds of millions of logins for their company's services are freely available on hacker forums. The huge volume of incoming connections, the heterogeneity of services, and the desire to avoid false positives leave enterprise security teams in a difficult spot. Finding potential security breaches is like finding a tiny needle in a very large haystack - monitoring millions of connections over thousands of servers is not something that can be managed by a team of humans. Enterprise security is often preventative: we ... (more)

Monitoring with #ArtificialIntelligence | @CloudExpo #BigData #AI #IoT

Building the Future of Monitoring with Artificial Intelligence Today we can collect lots and lots of performance data. We build beautiful dashboards and even have fancy query languages to access and transform the data. Still performance data is a secret language only a couple of people understand. The more business becomes digital the more stakeholders are interested in this data including how it relates to business. Some of these people have never used a monitoring tool before. They have a question on their mind like "How is my application doing" but no idea how to get a proper answer. In his session at 19th Cloud Expo, Alois Reitbauer, Chief Technical Strategist at Dynatrace, will discuss how they have worked to build a conversational interface on top of Artificial Intelligence to help make performance data accessible by asking natural language questions and simpl... (more)

[slides] #Monitoring with #AI | @CloudExpo @Dynatrace #ML #IoT #DL #DigitalTransformation

Download Slide Deck: ▸ Here Download Slide Deck: ▸ Here Building the Future of Monitoring with Artificial Intelligence Today we can collect lots and lots of performance data. We build beautiful dashboards and even have fancy query languages to access and transform the data. Still performance data is a secret language only a couple of people understand. The more business becomes digital the more stakeholders are interested in this data including how it relates to business. Some of these people have never used a monitoring tool before. They have a question on their mind like "How is my application doing" but no idea how to get a proper answer. Download Slide Deck: ▸ Here In his session at 19th Cloud Expo, Alois Reitbauer, Chief Technical Strategist at Dynatrace, discussed how they have worked to build a conversational interface on top of Artificial Intelligence to... (more)

Handwriting Recognition in Healthcare | @CloudExpo #API #CognitiveComputing

While some existing apps allow the doctors to write using their stylus pen, what is needed is an integrated solution that includes handwriting recognition, voice, face recognition and other cognitive intelligence as part of health care applications.   The Need for Handwriting Recognition in Healthcare Studies point to the fact that more than 70% of people spend more than one hour a day using pen Today, 80 percent of physicians still rely on traditional pen and paper to capture patient information, as well as for treatment-related information Hand Written notes that are not electronically captured pose a great challenge to HIPAA compliance There are not very many integrated Healthcare Enterprise Application that integrates handwritten notes with Health care back end systems Implementing text recognition with your EHR software may be one of the most beneficial method... (more)

[session] #MachineLearning and #BigData | @CloudExpo #IoT #AI #ML #DL

Machine Learning - It's All About the Data Data is the fuel that drives the machine learning algorithmic engines and ultimately provides the business value. In his session at 20th Cloud Expo, Ed Featherston, director / senior enterprise architect at Collaborative Consulting, will discuss the key considerations around quality, volume, timeliness, and pedigree that must be dealt with in order to properly fuel that engine. Speaker Bio Ed Featherston is a director/senior enterprise architect at Collaborative Consulting. He brings 37 years of technology experience in designing, building, and implementing large complex solutions. He has significant expertise in systems integration, Internet/intranet, and cloud technologies, Ed has delivered projects in various industries, including financial services, pharmacy, government and retail. The World's Largest "Cloud Digital T... (more)

Merging Humans with Enterprise AI and Machine Learning Systems | @ThingsExpo #AI #ML #IoT #M2M

Artificial intelligence and machine learning systems are made up of code and algorithms, and as such, they work as fast as computers can process them.  Often this means massive amounts of learning can be accomplished every second without stop 24x7x365.  Code doesn't need to take weekends off, holidays, or sick time. Code doesn't get tired. It can recognize complex patterns, areas of potential improvement and problems in real-time (aka digital-time).  Given these available computing capabilities and speeds, what are executives to do with AI and machine learning, when we live and operate in relatively slow human-time, and work within organizations that work at an even slower pace of organizational-time. I believe the first step is to admit we have a problem - the problem is a difference in the speed that computers can operate, and the speeds in which us humans can pr... (more)