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Pressroom

  • Fri
    01
    Jan
    2016

    10 Best Small Business CRM Software January 2016

    With more than half of the U.S. population using smartphones for two hours per day or more, aligning with a small business CRM software firm that is dedicated to mobile-compatible features is a must. The selection of best small business CRM software found below provides referral and customer loyalty data alongside ongoing analytics and transaction information. Engaging customers through social media and email marketing campaigns is also a core feature across today's leading CRM software designed with small business owners in mind. For more proactive small business owners, recording meetings and calls can enable more timely control. Ranking order is based on a wide range of qualitative and quantitative statistics, including the payment of variable monthly listing fees to be in our directory. Learn more about our ranking process here.

     Best Small Business CRM Application Logo: Pipedrive

    #1 of 10 Best Small Business CRM SolutionsPipedrive

    New York, NY

     

     
     

     

     

     

  • Mon
    25
    Jan
    2016

    A Series of Forbes Insights Profiles of Thought Leaders Changing the Business Landscape:  Mark Lewis, Chairman and CEO, Formation Data Systems.

    The Software Defined Data Center market is expected to reach $77 billion by 2020, according to ReportsnReports.com, so it’s no surprise there is constant innovation as new technologies and companies seek to disrupt incumbents. Formation Data Systems was formed to be one of those disrupters.

    The company was launched by a team led by Chairman and CEO Mark Lewis to offer software that provides hyper-scale enterprise storage solutions in much the way Google or Facebook enable massive storage capabilities through their own home grown solutions. While Lewis is steeped in the storage business, he is relatively late to the start-up world.

    “I was a big company guy for almost 30 years and then started Formation about three and a half years ago. So I get what it’s like to help run really big companies all your life and then all of a sudden to do a start-up. It’s both liberating and daunting, but it’s really the culmination of everything I’ve worked on over my career,” says Lewis.

    Lewis spent years building storage solutions at a long line of companies that were innovators at the time they were developed, going back to Digital Equipment, Compaq and EMC.  Now he is taking that experience to launch software that will help companies evolve their storage to be more nimble for a cloud-first world. Now he and his team are bringing to market what they believe is a game-changing approach.

    “We’re just in the process of releasing product now. We’re doing POCs at a number of customers who are putting, what I call, the finishing touches on the product. What we’ve been able to do is write a software layer that runs on top of bare metal industry-standard hardware and scales out, has all of the normal features of enterprise storage, data protection and all the stuff that enterprise storage people need and can project out to look like any different type of array. We can look like a block array or a NAS filer. We can look like an object storage, we can look like any kind of storage that the customer needs and it’s all an on-demand software product and the economics are literally ten times better than what can be delivered by any of the traditional mainstay storage players today,” says Lewis.

    The company was founded in late 2012 and started writing code in April of 2013. So it’s coming up on three years the product has been in development. “It was a very hard project, too, because we have changed the way people view storage and the architecture for storage. The simple analogy I use is that storage today is built like a Boeing 747. You have these big boxes that are specialty hardware, even if they have off-the-shelf processors or memory, they’re very specialty built, and the software they run is incredibly robust because it’s like running a Boeing airplane. If you lose the software, the plane crashes. So you spend a lot of time hardening this software because you have this single entity in the air with your data. The scale-out or the loosely coupled model that’s been used in networking that Google and others use for data center infrastructure now is the model we adopted and it’s simply like putting repetitive packages in a bunch of trucks and not sending them on a plane,” explains Lewis.

    It’s called a “loosely coupled model.” While it uses all of the models of modern architecture, it still looks to a storage admin like enterprise storage. It looks like the old array, it has the same kind of features, it projects data the same way so it can be used as a plug-in replacement to most array and most existing application use cases. “So it’s not something you have to go rewrite your apps or you have to change anything, this will work right in that environment,” says Lewis.

    The company has been in beta since last May and in alpha for 18 months. They are focused on the Forbes Global 2000, or anyone with large storage needs that understands that they have a huge economic problem, specifically in storage. They’ve had had a couple of Fortune 50 companies testing software for more than a year. “This is not something that will just change overnight. This is more of a what I call a ‘VMware-esque’ approach. We will go in, we will start with running their low-end applications, test environments, back-up apps and the less important stuff while we harden the project, everybody gets more comfortable with the idea but then, overtime, what we expect is that the economics will drive us into more and more of the mainstream production use cases,” says Lewis.

    http://www.forbes.com/sites/brucerogers/2016/01/25/formation-data-systems-created-to-enable-google-like-storage-capabilities-for-the-enterprise/#7872bf3b5a12

     

     
     

     
     

     

  • Mon
    08
    Feb
    2016

    SANTA CLARA, Calif. and TOKYO, Feb. 8, 2016 /PRNewswire/ -- C3DNA, Inc., a leading provider of self-reliant, Hyper-Cloud application lifecycle management and Tech Mahindra (NSE: TECHM) today announced an alliance for the distribution of its Cloud Equalizer platform in Japan. Using C3DNA's self-reliant application layer platform, Tech Mahindra's customers can migrate and manage distributed applications in any cloud, allowing application visibility and control across private and hybrid clouds for both legacy and new apps.

    "This strategic collaboration will help our customers with their complete cloud strategy and it will enable Enterprise IT to deliver mission-critical applications faster by increasing efficiency and dynamically scale anywhere. C3DNA's Cloud Equalizer puts the application or business owner back in control and applications are deployed securely across hybrid clouds with application awareness and dynamic lifecycle management," says Amitava Ghosh VP North Asia, Tech Mahindra, Japan.

    In order to deliver mission-critical applications, enterprises currently rely on tightly integrated infrastructure-centric management tools and policies that result in vendor lock-in. Migrating applications to today's hyper-resilient commodity infrastructure requires a combination of application re-architecture, heavy use of virtual machines, and the implementation of myriad new operational management tools and orchestrators.

    Cloud Equalizer is infrastructure-agnostic; with its self-reliant agent, users can dynamically discover, profile, and migrate distributed applications to any public, private, or hybrid cloud without changing the application, operating system, or re-architecting the application.

    "What the enterprise line of business owners are looking for is end-to-end, distributed application visibility and control without the cost and complexity of operational technologies and processes.  We want to give IT the visibility and control to deliver applications aligned with business needs using an enterprise-wide distributed application management architecture and allow developers to focus on application development, not on its management," said, Dr. Rao Mikkilineni, C3DNA's Co-Founder and CEO.

    About Tech Mahindra

    Tech Mahindra represents the connected world, offering innovative and customer-centric information technology services and solutions, enabling Enterprises, Associates and the Society to Rise™. We are a USD 3.9 billion company with 107,000+ professionals across 90 countries, helping over 800 global customers including Fortune 500 companies. Our innovation platforms and reusable assets connect across a number of technologies to deliver tangible business value to our stakeholders. Tech Mahindra is also amongst the Fab 50 companies in Asia as per the Forbes 2014 List.

    We are part of the USD 16.9 billion Mahindra Group that employs more than 200,000 people in over 100 countries. The Group operates in the key industries that drive economic growth, enjoying a leadership position in tractorsutility vehicles, after-market, information technology and vacation ownership.

    Media Contact:
    Richa Shah
    Global Media Relations
    Richa.Shah@Techmahindra.com

    About C3DNA

    C3DNA (Santa Clara, CA) is a Silicon Valley start-up with unique technology that brings self-reliance and portability to any application on any cloud infrastructure at the application layer. C3DNA's application- driven approach, delivers self-management, security, automation, and portability across clouds and/or datacenters to distributed applications anywhere without changes. C3DNA's platform Cloud Equalizer enables hybrid cloud capability without vendor or architecture lock-in and provides end-to-end service visibility and control across data centers and cloud providers. Customers range from Fortune® 100 to innovative Small and Medium Businesses. More information may be found at www.c3dna.com.

    Media Contact:
    Philippe Wagner
    Global Media Relations
    pr@c3dna.com

    Disclaimer

    Certain statements in this release concerning the future prospects of Tech Mahindra Limited ("the Company" or "TechM") are forward-looking statements. These statements by their nature involve risks and uncertainties that could cause the Company's actual results differ materially from such forward looking statements. The Company, from time to time, makes written and oral forward-looking statements based on information available with the management of the Company and the Company does not undertake to update any forward-looking statement that may be made from time to time by or on behalf of the Company 

    SOURCE C3DNA, Inc.

    http://www.prnewswire.com/news-releases/c3dna-allies-with-tech-mahindra-to-distribute-cloud-equalizer-platform-in-japan-300216935.html?tc=eml_cleartime

     

     

     

     

     
     

     
     

     

  • Tue
    16
    Feb
    2016

    Glassbeam, a machine data analytics company, has introduced two product enhancements for the IoT analytics market.  The new capabilities are aimed at automating the transformation of unstructured machine data into business insights and also providing a lighter footprint for Glassbeam at the edge.

    According to the vendor, the opportunity presented by IoT analytics is the ability to transform and act on new machine information in real time. However, what is needed to make that opportunity a reality better data transformation and analytics tools. 

    Glassbeam Studio is a data transformation and preparation tool focused on automating the manual work required to convert unstructured, raw machine log data into actionable information.

    It provides a drag-and-drop interface that allows users to model and transform any kind of log format complexity. The solution can help improve IoT analytics by reducing the time it takes to design, implement, and maintain an end-to-end IoT solution by a factor of 100x, according to the vendor.

    A second solution, Glassbeam Edge offersIoT analytics at the edge through a platform that enables device manufacturers to perform mission-critical activity without dealing with the costs or latency involved in sending data back to a central cloud.

    The availability of edge computing capabilities through a lightweight version of its platform that ingests, parses, and analyzes unstructured data in close proximity to the actual device is intended to decrease the costs and delays involved in sending large quantities of data back to centralized data centers. According to Glassbeam, these capabilities are particularly useful for high growth IoT areas such as predictive maintenance in smart grids, the oil and gas sector, and power generation.

    The two products, Glassbeam Studio and Edge, alleviate two of the biggest pain points in the IoT industry, according to Puneet Pandit, co-founder and CEO of Glassbeam. With the additional capabilities, he noted, the platform now has “the most complete set of functionality for tackling the most daunting analytics challenges for machine data.”

    Glassbeam, a partner of ThingWorx Ready program, will also be working closely with ThingWorx Machine Learning platform to take advantage of the functionality of Glassbeam Studio and reduce time to draw insights in machine learning projects.  According to Glassbeam, by some industry estimates, more than 60% of time in a typical machine learning project is spent in data preparation and transformation before any meaningful analysis can be performed, and particularly an issue for machine learning projects with unstructured log data where data scientists’ valuable time is spent on mundane repetitive tasks as opposed to building valuable models and predictions. 

    For more information, visit www.glassbeam.com.

    http://www.dbta.com/Editorial/News-Flashes/Glassbeam-Introduces-Data-Transformation-and-Edge-Computing-Capabilities-for-IoT-109122.aspx

     

     

     

     
     

     
     

     

  • Fri
    19
    Feb
    2016

    Editor-in-Chief, Dr. M.R. Pamidi has published a new IT Newswire article highlighting the technologies employed by C3DNA. Click here to view.

     

     
     

     

  • Mon
    22
    Feb
    2016

    It looks like 2016 will indeed be the year when IoT will come into its own. To use a Wall Street term, every market signal is flashing a ‘Strong Buy’. All indicators, including market size, use cases, valuation, M&A, number of job postings, number of analysts covering the space, etc., point to an exponential growth in IoT in 2016. Further, most of the industry analysis confirms that the greatest driver of value will be deep analytics on data – with the other pieces: connectivity, instrumentation, bandwidth, and others becoming highly commoditized or being given away for free. And that is why it’s a great time to be at Glassbeam – one of the fastest growing IoT startups in the Silicon Valley. 

    For those unfamiliar with Glassbeam, it is an IoT Analytics company based in the Silicon Valley that I co-founded with Puneet Pandit in 2009. Our mission is simple, yet powerful: to derive structure and meaning from complex, unstructured machine data generated from IoT-connected devices, and to present these findings through an actionable UI that provides immediate and compelling benefits for numerous operational ideas: Support, Engineering, Product Management and Services.

    In the course of our journey, we developed our patent-pending language – Semiotic Parsing Language (SPL). SPL is the industry’s first ever tool to truly apply Semiotics – the science of assigning meaning and structure – to complex unstructured data. SPL made it 10X faster to convert unstructured data to a structured format as compared to existing tools like ETLs. However, we did have to utilize our professional services arm to engage with customers to author SPLs as the process required technical skills.

    Now, recently announced 'GLASSBEAM STUDIO' takes this process into a newer orbit by automating the process of creating SPL. With merely a few clicks, technical or non-technical users, can instantly model even the most dauntingly unstructured data, transform it into usable format, and prepare it for analysis and for display inside visualization tools. What was 10X faster is now 100X faster! This will have a material impact on the IoT Analytics industry. This innovation is game-changing because today Terabytes of data that contain a veritable goldmine of information are simply being discarded because there is simply no cost-effective way to transform the data. Glassbeam is breaking a new frontier with this innovation as now all this unstructured data can be parsed and analyzed, and will come into play for Analysis. Our team has deep pedigree in this space and many person-years of effort has gone into building this highly differentiated, infinitely scalable, and extremely powerful Analytics platform.

    Here are the basic building blocks on which Studio is built:

    We’ve built Studio with the philosophy of creating a holistic, IDE-like, platform that can be used to seamlessly transform unstructured log. Some of my favorite features include the versatile SPL editor, and the ability to transpose rows and columns to effectively model the data. The output of Studio is prepared data, and this prepared data has numerous ‘upstream’ applications - for example, setting up sophisticated Complex Event Processing (CEP) (same as ‘Rules and Alerts’) models that can capture and act upon anomalous conditions.  This transformed data can also be fed into leading visualization applications like Tableau and ThingWorx composer.

    Close on the heels of the Studio announcement, Glassbeam is unveiling another powerful capability – Glassbeam Edge – that offers state-of-the-art Analytics close to the actual IoT device. So, industries with assets in far-flung geographical areas like Oil/Gas, Mining, etc. don’t need to fret anymore about the ‘data center roundtrip’ that generated data often has to take. Timely, information-driven decisions can be taken in close physical proximity to the device; and voluminous data can be sent back to the cloud for deeper inspection using advanced machine learning algorithms (Glassbeam integrates well with ThingWorx Machine Learning).  Using sophisticated peer-to-core and peer-to-peer protocols, and the ability to periodically push critical findings to the edge, we have created a very compelling and economically-viable architecture for distributing the data analytics workload between the edge and the cloud.

    Here are key elements of Glassbeam’s edge capabilities:

    Please visit www.glassbeam.com to learn more. I am sure you will be as thrilled as I am.

     
     

     

  • Mon
    07
    Mar
    2016

    Impact Report

    By Jason Stamper

    The machine data analytics firm is focused on Internet of Things use cases, and claims that its two new releases can dramatically accelerate application development times, helping businesses get their IoT projects off the ground faster.

    https://451research.com/report-short?entityId=88287

     

     

     

     

     

  • Thu
    17
    Mar
    2016

    • An interview with Rao Mikkilineni, co-founder & Interim CEO for C3DNA, startup currently in Cisco EIR cohort 3.  By: Sarah Nguyen 

     

    • C3DNA aims to change the entire cloud computing vendor landscape. Their platform brings one-click automation and end-to-end Application Lifecycle Management to the datacenter. In this interview, Rao Mikkilineni, co-founder & Interim CEO for C3DNA, delves into the complexity of cloud management systems.

    What is C3DNA’s founding story? What problem were you trying to solve?

    The adoption of virtualization and cloud computing began to address application scaling and tolerance to fluctuations in both workloads and availability of resources. But orchestrating the required infrastructure across distributed resource pools operated and managed by different providers is not scalable without increasing complexity and cost.

    We started looking at how to decouple applications from the underlying infrastructure. Alan Turing himself suggested a solution in the form of the Turing Oracle machine. We used this concept to infuse cognition into the Turing Machine and make the applications self-managing. This architecture was a major breakthrough in computer science that not only addresses cloud management complexity, but also solves fundamental issues with concurrence, synchronization, mobility, and other distributed computing problems.

    Our product provides an order of magnitude improvement in managing legacy and new applications.

    Do you have any direct competitors?

    We don’t have any direct competitors but a few organizations are working on or offer a partial solution. Here is what Dr. M. R. Pamidi, Editor-in-Chief of IT Newswire, wrote about C3DNA “To say we are very impressed with C3DNA’s product and technology is an understatement. The company’s innovative and imaginative team has come up with a unique solution that could change the entire cloud computing vendor landscape. As one industry analyst put it, C3DNA is Uber-ifying this industry that could spell the end for many vendors still fighting IaaS, PaaS, SaaS…wars.”

    You’ve recently partnered with Tech Mahindra to distribute “Cloud Equalizer” Platform in Japan. What can we expect from this alliance?

    Using C3DNA’s Smart discovery agent, Tech Mahindra customers can discover, profile, and migrate any distributed application, including filesystems and databases, to any public, private, or hybrid cloud without changing the application, OS, or re-architecting the application to become cloud native.

    In addition, they can configure, monitor and control any distributed application to optimize its availability, performance, security, and compliance within or across private, public, or hybrid clouds, independent of what infrastructure they have deployed.

    What are your goals while in Cisco EIR?

    In the near future, we hope to provide Cisco with competitive differentiation with our technology that has a wide range of applications beyond current cloud-agnostic services deployment and management.

    What is your #1 advice for other aspiring entrepreneurs?

    There are two types of innovation: Kaizen and Disruptive Innovation. “Kaizen” is the means of continuous improvement that provides incremental benefits. Disruptive Innovation changes the current state of the art and provides orders of magnitude improvements. It’s important to choose your path because they require different vision, VCs, and expertise.

    The first approach requires domain knowledge in the particular areas where you can provide improved solutions. The second requires a wide mastery in many areas that allows you to visualize a future that is not visible from the current state of the art. It is said that a great sculptor does not see a stone but visualizes how and where that stone fits as a sculpture.

    What does C3DNA stand for?

    The three ‘C’s are for Cognition, Computing, and Communications. The ‘3’ stands for the three steps in the process: application ‘DNA’ captured by C3DNA (policies, components, configuration, and workflow); the distributed DNA application control platform that interprets application DNA; and the agent-based mechanism that encapsulates and delivers this. DNA is DIME Network Architecture. This new computing model was presented first in the Turing Centenary Conference held in Manchester in 2012.

     

     

     

     

     

  • Tue
    19
    Apr
    2016

    Dave and Rick, Both Ex-PTC Executives, Bring Tremendous Strategic and Operational Experience in the Internet of Things (IoT) Industry to Glassbeam

    SANTA CLARA, CA--(Marketwired - Apr 19, 2016) -  Glassbeam, Inc., the machine data analytics company, announced two significant additions to its core management and advisory team: Dave Westrom, former SVP of Business Development at ThingWorx (a division of PTC), is joining Glassbeam's Executive Team as SVP Business Development to drive channel and strategic partnerships and Rick Bullotta, co-founder and CTO of ThingWorx, is joining the Glassbeam Advisory Board.

    Glassbeam is focused on helping leading product manufacturers build truly connected products by providing business intelligence gleaned from a detailed analysis of complex machine data. Glassbeam's unique data transformation technology ingests, parses and analyzes data 100 times faster than competing tools or homegrown solutions. These new additions to the Glassbeam team will help drive momentum for Glassbeam and Glassbeam partners in the IoT industry. 

    Rick and Dave are joining the team at a major upward inflection point in the IoT industry. Corporations across many industries are looking to connect their products to ubiquitous IoT networks with a view of understanding their customers much more intimately and are using IoT analytics to transform virtually every business process. Their addition to the Glassbeam team is expected to catalyze significant growth and mindshare expansion for Glassbeam.

    "Glassbeam is one of the most exciting Analytics companies in a white-hot IoT industry," says Rick. "They have a very well-rounded engineering and technical team and have built significant IP in the space. The newly added Edge offering is another testament to the company's ability to build products closely aligned with the realities of the Industrial IoT space."

    "I am thoroughly impressed by Glassbeam's growth and momentum in the IoT marketplace," comments Dave. "They have an impressive list of customers and partners and are regularly featured by Analysts as one of the most promising companies in the space. Their products are perfectly aligned with the needs of a burgeoning IoT marketplace that desperately needs an easy way to handle complex data."

    "Dave and Rick bring a wealth of experience and expertise in the IoT industry to Glassbeam," says Puneet Pandit, CEO of Glassbeam. "They are expected to be key drivers for our growth strategy both from a technical and business standpoint and we stand to immensely benefit from all the capabilities they bring to the table. We look forward to a new era of growth with these significant additions to our team."

    About Glassbeam

    Glassbeam is the premier machine data analytics company bringing structure and meaning to complex data generated from any connected device in IoT industry. Glassbeam's next generation cloud-based platform is designed to transform and analyze multi-structured data, delivering powerful solutions on customer support and product intelligence for companies including IBM, EMC, Aruba Networks, and Dimension Data. For more information visit http://www.glassbeam.com.

    http://finance.yahoo.com/news/glassbeam-adds-iot-veterans-dave-140000922.html

     

     

     

     

     

     

     

     

  • Wed
    04
    May
    2016

    “PowWow Mobile allows enterprises to design new mobile experiences for their customers and employees, and deliver them as native mobile apps rapidly across multiple mobile platforms.” -Gartner Cool Vendor Report, Mobile App Development Report, 2016

    What makes us cool?

    PowWow Mobile has a disruptive, new approach to mobilizing the enterprise. SmartUX is purpose-built to accelerate the “re-invention” of mobile enterprise applications by creating new, native mobile apps from any web or Windows app in your portfolio, quickly without sacrificing quality, and within a budget that business and IT can agree on. 

    Kick start a great user experience with modern smart features for greater happiness and productivity for all.

    "PowWow Mobile allows enterprises to design new mobile experiences for their customers and employees, and deliver them as native mobile apps rapidly across multiple mobile platforms. Enterprises may use PowWow as an alternative to traditional mobile development or other delivery methods like VDI in order to reduce delivery times, and provide a native mobile experience for applications."

    -Gartner, Analysis by Van Baker

    http://www.powwowmobile.com/gartner-cool-vendor-powwow-mobile-2016

     

     

     

     

     

     

     

     

     

     

     

     

     

  • Mon
    06
    Jun
    2016

    "Powered by ThingWorx" Agreement Unleashes New Synergies for Connected Product Manufacturers

    SANTA CLARA, CA--(Marketwired - Jun 6, 2016) - Glassbeam, Inc., a premier machine data analytics company, today announced a new technology and distribution partner agreement with PTC, a market leader in the IoT industry. Glassbeam has signed on to become a "Powered by ThingWorx" OEM partner of PTC to address a significant industry pain point -- the ability to transform unstructured machine data to drive complex machine learning and real-time advanced analytics for manufacturers of connected products.

    Traditional analytics associated with connected products and machines has focused on structured sensor data. While providing value, emphasis on sensor data alone ignores the significant business intelligence that can be gleaned by effective ingestion, parsing and analysis of unstructured machine data. The combined solution enables product manufacturers to effectively mine their machine data and uncover findings that can materially alter the economics of building, marketing and supporting connected products.

    As part of the collaboration, Glassbeam has integrated its core set of adaptors and data transformation engine with the ThingWorx® IoT Platform and ThingWorx® Analytics -- thereby providing a holistic, end-to-end application for building truly connected products. This combined solution is already being deployed at joint customers in the medical devices, smart grid, storage and data center industries to dramatically improve support and engineering operations.

    "Historically, the industry has operated as if unstructured data generated from connected products is too complex to ingest and analyze on account of its sheer heterogeneity," said John Stuart, Divisional Vice President, ThingWorx Partner Development, PTC. "Glassbeam's transformation and Analytics engine dramatically simplifies the process of analyzing unstructured data, and this collaboration opens up numerous new markets and opportunities for PTC in the IoT space."

    "Offering world-class Customer Service in the IoT era requires a comprehensive and scalable Analytics platform that is well-integrated with our existing Support workflow," states Brett Flinchum, VP of Global Customer Success at Springpath. "Glassbeam is the first Complex Machine Logs Analytics platform that has true credentials in transforming unstructured data into actionable information for our support organization."

    "I have been impressed by Glassbeam's capabilities and pedigree right since the moment I began following the company," said Glen Allmendinger at Harbor Research. "This initiative with PTC is another natural, yet impressive, step in the company's growth trajectory and I think the joint offering will offer tremendous value to the entire IoT industry."

    "We cannot think of a more beneficial and synergistic offering for effective analysis of complex unstructured data that is typically generated in log files," said Puneet Pandit, CEO of Glassbeam. "In a short time since the integration, and with near-zero marketing or evangelism, we have seen tremendous customer interest in the market in this exciting end-to-end offering by PTC and Glassbeam."

    About Glassbeam

    Glassbeam is the premier machine data analytics company bringing structure and meaning to complex data generated from any connected machine in the IoT industry. Glassbeam's next generation cloud-based platform is designed to transform and analyze multi-structured data, delivering powerful solutions on customer support and product intelligence for companies including IBM, EMC, Springpath, Gridscape, Aruba Networks, and Dimension Data. For more information visit http://www.glassbeam.com or follow us on Twitter @Glassbeam.

    PTC and ThingWorx are trademarks or registered trademarks of PTC Inc. or its subsidiaries in the United States and other countries.

    Contact Information

    Chris Kuntz
    VP of Marketing
    Glassbeam
    Email Contact

    http://www.marketwired.com/press-release/glassbeam-partners-with-ptc-address-large-untapped-iot-market-machine-data-analytics-2131631.htm 

    Congratulations to Glassbeam for winning ThingWorx Ready Partner of the Year.

     

     

     

     

     

     

     

     

     

     

     

     

     

  • Tue
    07
    Jun
    2016

    Glassbeam Machine Data Analytics Platform, Powered by ThingWorx, Transforms Springpath Support Group Operations, Leveraging Machine Learning to Offer Enhanced Serviceability

    SANTA CLARA, CA--(Marketwired - Jun 7, 2016) - Glassbeam, Inc., the premier machine data analytics company for the Internet of Things (IoT) industry, today announced that Springpath, the pioneer in hyperconvergence software, has chosen the Glassbeam platform to provide advanced machine data analytics and real-time intelligence for its support organization.

    Springpath offers the industry's first subscription-based data platform for the Hyper Converged Infrastructure (HCI) industry that transforms standard servers into a single pool of computing and storage resources that scale elastically. The Springpath Data Platform enables organizations to become more agile through IT infrastructure automation, eliminating storage siloes and reducing the cost of data center modernization.

    Spring path is using Glassbeam to provide real-time analytics on key operational parameters across the systems it supports, allowing them to offer effective and efficient serviceability for their customers. Using Glassbeam, Springpath's support organization can easily monitor an entire hyper converged infrastructure system for potential problems, and monitor threshold conditions through Glassbeam's Rules and Alerts application to ensure that support teams can preempt incidences of downtime by proactively addressing potential causes of malfunction. Springpath is also leveraging Glassbeam Machine Learning to predict critical events like disk failures, thereby greatly enhancing the ability of its Support team to preempt all downtime incidents.

    "Offering world-class Customer Service in the IoT era requires a comprehensive and scalable Analytics platform that is well-integrated with our existing Support workflow," states Brett Flinchum, VP of Global Customer Success at Springpath. "Glassbeam is the first Complex Machine Logs Analytics platform that has true credentials in transforming unstructured data into actionable information for our support organization."

    The Glassbeam platform provides Springpath with the ability to ingest, parse, and analyze data stored across a disparate HCI technology stack -- data that is critical to providing insight for support personnel. Glassbeam's unique data transformation and preparation engine can easily convert even the most complex machine data into structured and meaningful formats. This structured data can then be presented through multiple Glassbeam applications including interactive dashboard reports to get visibility into every operational parameter of the HCI system.

    "HCI and IoT machine data analytics are two important trends in the technology industry today," said Puneet Pandit, CEO and Founder of Glassbeam. "By using machine data analytics from the Glassbeam, Springpath is again differentiating itself as the pioneer in the HCI industry. Glassbeam has helped them transform the operations of their support group, resulting in a positive impact on virtually every success metric -- customer satisfaction, support costs, services revenue streams, and more."

    About Glassbeam

    Glassbeam is the premier machine data analytics company bringing structure and meaning to complex data generated from any connected machine in the IoT industry. Glassbeam's next generation cloud-based platform is designed to transform and analyze multi-structured data, delivering powerful solutions on customer support and product intelligence for companies including IBM, EMC, Springpath, Gridscape, Aruba Networks, and Dimension Data. For more information visit http://www.glassbeam.com or follow us on Twitter @Glassbeam.

    About Springpath

    Springpath is the pioneer in hyperconvergence software, turning standard servers of choice into a single pool of compute and storage resources. The Springpath Data Platform eliminates the need for network storage and intuitively integrates into existing management tools to maximize operational efficiency. Using adaptive scaling capabilities, customers can grow compute, caching or capacity resources independently, depending on their changing business needs. Springpath proactively monitors your infrastructure to ensure resilient, always-on availability. Using data management and optimization capabilities, Springpath customers experience transformative levels of resource utilization, accelerating the adoption of DevOps in their organization with truly agile IT infrastructure. For more information, visit www.springpathinc.com or follow us on Twitter @SpringpathInc.

     

     

     

     

     

     

     

     

     

     

     

     

     

     

     

  • Tue
    28
    Jun
    2016

    Featured Meetup

    Practice migrating your apps to ANY cloud on demand with 0 downtime using C3DNA

    • Thursday, July 28, 2016

      to

    • 450 Post Street, San Francisco, CA (map)

      37.788212-122.409241
    • Practice migrating your apps to any cloud on demand with 0 downtime using C3DNA and CenturyLink!

      Are you interested in learning practicing how to migrate your apps to any cloud on demand with 0 downtime?  Do you want to learn how to do things like scale IaaS and intelligently move your apps around by using portable, self-managed apps and policy-driven automation?  Do you want to practice multi-cloud automation?  If you answered “yes” to any of those questions, join your fellow cloud enthusiasts at the CenturyLink Bay Area User Group technical meet up on Wednesday, July 28 from 4pm to 7pm at the luxurious Elks Lodge #3 in downtown San Francisco for food, drinks and hands on, technical exercises to practice migrating your apps to any cloud on demand with 0 downtime.

      What will I practice at this event?

      Bring your laptop to learn and practice:

      •  How to automatically deploy workloads to multiple public clouds How to use an application focused cloud operations platform

      • Migrate your apps between multiple clouds on demand with zero downtime

      • At the end of this event you will have a better understanding of how using portable, self-managing applications can provide flexibility, resiliency, scalability and allows any app to be operated anywhere.

      What business problems does this solve?

      Freedom for developers - Allow developers to focus on what they do best without having to worry about certain architectural constraints, multiple layers of orchestration or platform specific programming Rapid time to value - Migrate your legacy apps and endow them with cloud like features: app mobility, scaling up/down, availability, performance and security standards across multiple clouds Visibility and Control - Use a single pane of glass to manage, monitor and control operations of your apps, including performance data Cost reduction - Enable infrastructure-agnostic and cloud independent, distributed workloads on monthly billed platforms.  Reduce the need for multiple orchestration solutions. Business Continuity - Policy driven orchestration to move your apps on demand to reduce risk and maintain availability

      Join us to learn how to demonstrate how your apps can run and scale on demand on any infrastructure, all  under your complete control.

      CloudWalk Agenda and Lesson Plan:

      4:00 - 4:30pm - Arrive, Food, Drinks and Conversation

      4:30 - 5:30pm - CenturyLink Cloud Platformoverview with hands-on Exercises: Create an environment and deploy applications through automation inside CenturyLink Cloud 

      5:30 - 6:30pm - C3DNAoverview with hands-on Exercises: Migrate your apps to multiple clouds on demand with zero downtime 

      6:30 - 7:00pm - Q&A, Networking, Raffle 

      For more details please follow:

      http://www.meetup.com/CenturyLink-BayArea-Users-Group/events/232304100/

     

     

     

     

     

     

     

     

     

     

     

     

     

     

  • Mon
    25
    Jul
    2016

    Rao Mikkilineni, Co-Founder and Chief Scientist, C3DNA

    “In recent history, the basis of telephone company value has been the sharing of scarce resources — wires, switches, etc. – to create premium-priced services. Over the last few years, glass fibers have gotten clearer, lasers are faster and cheaper, and processors have become many orders of magnitude more capable and available. In other words, the scarcity assumption has disappeared, which poses a challenge to the telcos’ “Intelligent Network” model. A new type of open, flexible communications infrastructure, the “Stupid Network,” is poised to deliver increased user control, more innovation, and greater value.” - Isenberg, D. S., (1998). “The dawn of the stupid network”. ACM netWorker 2, 1, 24-31.

    Intelligent Applications and Dumb Infrastructure

    Much has changed since the late 90’s that drove the Telco companies to essentially abandon their drive for supremacy in the intelligent services creation, delivery, and assurance business and take a back seat in the information services market to manage the ‘stupid network’ that merely carries the information services. You only have to look at the demise of major R&D companies such as AT&T Bell Labs, Lucent, Nortel, Alcatel and the rise of a new generation of services platforms from Apple, Amazon, Google, Facebook, Twitter, Oracle, and Microsoft to notice the sea change that has occurred in a short span of time. The data center has replaced the central office to become the hub from which myriad voice, video, and data services are created and delivered on a global scale.

    However, today it can equally be said that the basis for current generation data center value has been the sharing of scarce and expensive resources - CPU, memory, network bandwidth, latency tolerance, and storage IOPs, throughput and capacity - to create premium priced applications with high quality of service (QoS) dealing with availability, performance, and security with compliance constraints. Over the last decade, the availability of commodity computing infrastructure (multi-core servers, server, and network virtualization technology and cheaper virtual storage etc.) in the form of clouds, the scarcity assumption has disappeared, which poses a challenge to the current "data center" model.

    If the cloud providers can deliver the same QoS using the shared commodity resources, the scales of economy will make application creation, delivery, and QoS assurance more efficient, scalable, and tolerant to fluctuations in both workloads and user experience constraints.

    The cloud providers recognize this and are on a race to out-compete with each other to bring the same services in their clouds. While Amazon had a first strike advantage and has created a competitive differentiation with a variety of services to address the non-functional requirements dealing with application QoS, and decouple application development (functional requirement fulfillment using computing functions, workflows and processes) others are catching up to duplicate similar services. This has led to cloud islands and the choice between dreaded vendor lock-in or complexity of using different clouds (private, public, or hybrid) with a plethora of tools, point solutions, and their perpetual integration costs.

    Déjà vu

    The story of service islands and their eventual integration with interoperability to improve exponentially the efficiency through scales of economy while fostering competition has played out before in the evolution of telephone networks, the Internet, and voice over IP (VOIP). As technology has progressed, the interoperability framework has moved from hardware solutions in telephony (SS7, STP, SCP, etc.) to pure software solutions based on virtualization. As infrastructure becomes a commodity, most cloud providers are forced to provide other services that facilitate the migration of existing applications to the cloud and attempt to provide the same QoS that they are accustomed to in current data centers through availability, security, mobility, and compliance zones within their sphere of influence.

    This is done through optimizing their infrastructure and hiding the complexity through a Platform-as-a-Service(PaaS). However, as competing cloud providers offer their own differentiating PaaS, the cloud consumers are left with complexity of choice, innovation chaos, and perpetual integration cost. Telephone companies who have gone through this exercise before know the value of interoperable islands without proprietary lock-in. They also know that they have the global network connectivity that is essential to provide that interoperability which any cloud provider has to either leverage or build their own (like Google has).

    CenturyLink is Pointing to a New Direction with Cloud Agnostic Computing and Interoperable Cloud Solutions

    CenturyLink with a pedigree from both telecommunications and data centers seems to have realized this advantage and has gone from offering a competing cloud with similar features as any other cloud provider to providing interoperability among multiple clouds using their expertise in computing (data centers and managed services) and communications (network services). They are extending the application availability, security, mobility, and compliance zones with a policy based application management framework that spans across multiple clouds only using different provisioning processes offered by the competing cloud providers.

    In addition, they also eliminate the need to orchestrate or move virtual machine images in order to provide cloud interoperability. This eliminates the need for a plethora of point solutions and tools. It also eliminates the need for cloud consumers to depend on non-functional requirement fulfillment using different PaaS offerings. The application management framework that CenturyLink offers was recently shared at a Cloudwalk event in San Francisco. This technology uses provisioning of virtual machines in different clouds (including CenturyLink Cloud) and provides availability zones across clouds where applications (using web servers, application managers, and databases) can be migrated to fulfill both recovery time objectives and recovery point objectives with zero down time.

    The novelty of this approach seems to put on an equal footing both stateful and stateless application components and eliminates the need for cloud native computing. Applications are treated as cloud agnostic and require no changes to the application or the operating system on which they are executed. Furthermore, no changes to infrastructure provisioning processes are required. As long as the operating system is the same in the source and target execution venues (containers, VMs, or physical servers), applications can be deployed and moved across any cloud with their framework. The cloud providers are used as mere commodity infrastructure providers on a global scale with application interoperability and QoS assurance.

    Are Cloud Agnostic Computing and Interoperable Clouds Finally Here?

    The message to cloud consumers seems to be "instead of managing clouds with myriad cloud management platforms, start managing your applications on any cloud using a policy-based cloud application management platform."

    It's worth finding out for yourselves.

    Learn More

    Blog: Migrate Your Apps to any Cloud With Zero Downtime Using C3DNA

    Solutions: Transform Your Business with Hosted Applications in the Cloud

    Getting Started Knowledge Base: Getting Started with C3DNA Appliance on CenturyLink Cloud

    https://www.ctl.io/developers/blog/post/exploring-cloud-agnostic-computing-and-interoperable-clouds

     

     

     

     

     

     

     

     

     

     

     

     

  • Wed
    27
    Jul
    2016
  • Thu
    10
    Nov
    2016

    SANTA CLARA, CA--(Marketwired - Nov 10, 2016) - Glassbeam, Inc., the machine data analytics company, today announced it has launched Glassbeam Analytics on the Salesforce AppExchange, empowering product manufacturers by providing business intelligence gleaned from a detailed analysis of complex machine log data. Glassbeam Analytics allows service, support, product development and sales organizations to proactively act on real-time inputs from IoT-connected devices to improve support and service, delivering a new level of customer success.

    Glassbeam is focused on helping leading product manufacturers build truly connected products and improved customer experiences by providing business intelligence gleaned from a detailed analysis of complex machine data. Glassbeam Analytics for Salesforce allows companies to gain valuable insight into machine health, status and customer intelligence through the use of Glassbeam's big data transformation and ingestion engine, converting complex machine log data into business insights that can be used by service and support organizations -- all through the familiar Salesforce user interface.

    Built on the Salesforce App Cloud, Glassbeam Analytics is currently available on the AppExchange at https://appexchange.salesforce.com/listingDetail?listingId=a0N3A00000EO7RWUA1.

    Glassbeam Analytics Key Benefits:

    • Transform support operations through proactive service, automatic ticket creation based on patterns in incoming log file data, predictive maintenance and implementation of anomaly detection within Glassbeam Analytics to create appropriate workflows (service requests, Chatter updates, comments) in the Salesforce Service Cloud.
    • Build insight-driven product roadmaps based on install base analytics, correlating customer relationship data with product usage characteristics and make informed product decisions on product releases and feature upgrades.
    • Gain valuable customer intelligence and deliver value-add services with a 360-degree customer view by combining CRM data with machine data analytics. Create new value-added offerings for end-customers through improved equipment utilization and user experience.

    Comments on the News

    • "Machine log files represent a gold mine for uncovering the unfiltered truth on machine health, status and insight into how customers are using connected products," said Glassbeam founder and CEO Puneet Pandit. "Unfortunately up until now, these logs only come to the forefront tactically when accessed by tech support engineers to solve issues but afterwards they get shoved in the dark and remain hidden from normal view. Glassbeam Analytics for Salesforce is a key enabler for shining light on this dark data."
    • "Companies are looking to transform the way they connect with customers, partners and employees to thrive in the age of the customer," said Todd Surdey, SVP, app innovation partner sales, Salesforce. "By leveraging the power of the Salesforce App Cloud, Glassbeam provides companies with an exciting new way to drive customer success with the Internet of Things."

    About Salesforce AppExchange
    Salesforce AppExchange is the world's leading enterprise apps marketplace that empowers companies to sell, service, market and engage in entirely new ways. With 3,000 partner apps and more than 4 million customer installs, it is the most comprehensive source of cloud, mobile, social, IoT and data science technologies for businesses.

    Additional Resources

    Salesforce, App Cloud, AppExchange, Service Cloud and others are among the trademarks of salesforce.com, inc.

    About Glassbeam
    Glassbeam is a premier machine data analytics company bringing structure and meaning to complex data generated from any connected machine in the Internet of Things (IoT) industry. Glassbeam's next generation cloud-based platform is designed to transform and analyze multi-structured data, delivering powerful solutions on customer support and product intelligence for companies including IBM, EMC, Springpath, Gridscape, Aruba Networks, and Dimension Data. For more information visit http://www.glassbeam.com or follow us on Twitter @Glassbeam.

    http://sports.yahoo.com/news/glassbeam-announces-glassbeam-analytics-salesforce-140000438.html

     

     

     

     

     

     

     

     

     

     

     

     

     

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