What’s Driving Big Data in the Enterprise – and Why Now?

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Big Data in the Cloud Enterprises have been using both Big Data and virtualization for years. Until recently, however, most enterprises have not combined the two. Big Data's demands for higher levels of performance, the ability to control quality-of-service (QoS), and the ability to adhere to SLAs have kept it on bare metal, apart from the modern data center cloud. With recent technology innovations, we've seen the advantages of bare metal erode to such a degree that the enhanced flexibility and reduced costs that clouds offer tip the balance in favor of virtualization for Big Data deployments. And for organizations concerned about performance, virtualized environments can address that issue or in some cases even perform better than bare metal. In his session at 19th Cloud Expo, Kush Hathi, President and Founder of SoftNet Solutions, will provide an in-depth discu... (more)

[session] Cloud Job Skills | @CloudExpo @Dicedotcom #BigData #IoT #DevOps

Leveraging Cloud Skills Demand and Salary Indicators Data to Advance Earning Potential In his general session at 19th Cloud Expo, Manish Dixit, VP of Product and Engineering at Dice, will discuss how Dice leverages data insights and tools to help both tech professionals and recruiters better understand how skills relate to each other and which skills are in high demand using interactive visualizations and salary indicator tools to maximize earning potential. Speaker Bio Manish Dixit is VP of Product and Engineering at Dice. As the leader of the Product, Engineering and Data Sci... (more)

[webinar] @ImpigerTech's Software Delivery Roadmap | #API #IoT #DataCenter

Register for Webinar ▸ Here Join Impiger for their featured webinar: ‘Cloud Computing: A Roadmap to Modern Software Delivery' on November 10, 2016, at 12:00 pm CST. Very few companies have not experienced some impact to their IT delivery due to the evolution of cloud computing. This webinar is not about deciding whether you should entertain moving some or all of your IT to the cloud, but rather, a detailed look under the hood to help IT professionals understand how cloud adoption has evolved and what trends will impact their plan including: Defining and architecting your cloud s... (more)

[slides] #IoT Time Series Data | @ThingsExpo #M2M #ML #BigData #Monitoring

Download Slide Deck: ▸ Here Download Slide Deck: ▸ Here Analytics for Motif Discovery and Deep Learning in Time Series Data Generated by IoT IoT generates lots of temporal data. But how do you unlock its value? You need to discover patterns that are repeatable in vast quantities of data, understand their meaning, and implement scalable monitoring across multiple data streams in order to monetize the discoveries and insights. Motif discovery and deep learning platforms are emerging to visualize sensor data, to search for patterns and to build application that can monitor real ti... (more)

[panel] #BigData and #DevOps | @CloudExpo #MachineLearning #Blockchain

DevOps is being widely accepted (if not fully adopted) as essential in enterprise IT. But as Enterprise DevOps gains maturity, expands scope, and increases velocity, the need for data-driven decisions across teams becomes more acute. DevOps teams in any modern business must wrangle the ‘digital exhaust' from the delivery toolchain, "pervasive" and "cognitive" computing, APIs and services, mobile devices and applications, the Internet of Things, and now even blockchain. In this power panel at @DevOpsSummit 19th Cloud Expo, moderated by DevOps Conference Chair Andi Mann, panelist... (more)

Top #M2M Media Brand | @ThingsExpo #IoT #IIoT #ML #DigitalTransformation

ThingsExpo Named World's Most Influential M2M Media Brand @ThingsExpo has been named the Top 5 Most Influential M2M Brand by Onalytica in the ‘Machine to Machine: Top 100 Influencers and Brands.' Onalytica analyzed the online debate on M2M by looking at over 85,000 tweets to provide the most influential individuals and brands that drive the discussion. According to Onalytica the "analysis showed a very engaged community with a lot of interactive tweets. The M2M discussion seems to be more fragmented and driven by some of the major brands present in the M2M space. This really allo... (more)