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News Article | December 15, 2016
Site: marketersmedia.com

— According to a new market research report "Internet of Things (IoT) in Smart Cities Market by Solutions (Remote Monitoring, Data Management) Platform (Application & Device Management) Application (Building Automation, Energy Management, Transportation) - Global Forecast to 2020", The IoT in Smart Cities Market estimated to grow from USD 51.96 Billion in 2015 to USD 147.51 Billion by 2020, at an estimated Compound Annual Growth Rate (CAGR) of 23.2% during the forecast period. Browse 63 market data Tables and 46 Figures spread through 135 Pages and in-depth TOC on "Internet of Things (IoT) in Smart Cities Market - Global Forecast to 2020" http://www.marketsandmarkets.com/Market-Reports/iot-smart-cities-market-215714954.html Early buyers will receive 10% customization on this report. The major growth drivers of this market include increasing demand for intelligent cities globally and the rising demand for IoT devices. More than 200 smart city projects across the globe provide huge opportunities in this market for IoT vendors, service providers, platform providers, and consulting companies. Growing concept of connected cities and increasing deployment of connected devices to open major opportunities The market smart city has considerably grown over the past few years and the emergence of disruptive technologies such as IoT and connected devices has further augmented the opportunity areas for IoT in smart cities. The advancement in IoT technologies, cloud-based platforms, and services are marked with increasing IoT application and has led to significant investment in smart cities. The development of smart devices such as smart meters, home gateways, smart appliances, and smart plugs would also act as an opportunity for the IoT in smart cities market. Government policies, privacy and security issues, inadequate financial incentives for utilities and interoperability and standard interface are the major restraints of the overall growth of this market. Data management solutions sub segment expected to hold the most promising potential for next five years The IoT in smart cities market has been segmented into solutions, services, technologies, platforms, and applications. The data management and location analytics solution sub segment is projected to grow at a high growth rate and present good market opportunity during the forecast period. System integration services hold a major share in the IoT smart cities services segment. The increasing integration of ICT and IoT with different industries is considered as the primary driver influencing the growth of the IoT in smart cities services market. North America is expected to hold the largest market share and dominate the IoT in smart cities market from 2015 to 2020, with the growing number of smart city projects and increasing grants from the U.S. government. Asia-Pacific and Middle East & Africa offer potential growth opportunities due to large-scale infrastructure development and growing number of smart city projects. The major vendors covered in the IoT in smart cities market for this study include Bosch Software Innovation, Cisco Systems Inc., Huawei Technologies, IBM Corporation, Intel Corporation., Schneider Electric, SAP SE, Symantec Corporation, ThingWorx, and Verizon Communications. MarketsandMarkets segments the IoT in smart cities market on the basis of solutions: location analytics, network security, application security, real-time streaming analytics, network bandwidth management, remote monitoring system and data management solutions; services: system integration services and other services; platforms: device management, application management, and connectivity management platform; technologies: satellite networks, cellular networks, Radio Frequency Identification (RFID), Near Field Communication (NFC), and Wi-Fi; applications: transportation, infrastructure management, building automation, energy management, intelligent cities service, and emergency and incident management; and regions. A detailed analysis of the regional markets has been done to provide insights into the potential future business opportunities in different regions. MarketsandMarkets is the world’s No. 2 firm in terms of annually published premium market research reports. Serving 1700 global fortune enterprises with more than 1200 premium studies in a year, M&M is catering to a multitude of clients across 8 different industrial verticals. We specialize in consulting assignments and business research across high growth markets, cutting edge technologies and newer applications. Our 850 fulltime analyst and SMEs at MarketsandMarkets are tracking global high growth markets following the "Growth Engagement Model – GEM". The GEM aims at proactive collaboration with the clients to identify new opportunities, identify most important customers, write "Attack, avoid and defend" strategies, identify sources of incremental revenues for both the company and its competitors. M&M’s flagship competitive intelligence and market research platform, "RT" connects over 200,000 markets and entire value chains for deeper understanding of the unmet insights along with market sizing and forecasts of niche markets. The new included chapters on Methodology and Benchmarking presented with high quality analytical infographics in our reports gives complete visibility of how the numbers have been arrived and defend the accuracy of the numbers. We at MarketsandMarkets are inspired to help our clients grow by providing apt business insight with our huge market intelligence repository. For more information, please visit http://www.marketsandmarkets.com/Market-Reports/iot-smart-cities-market-215714954.html


— A 'smart city' is an urban region that is highly advanced in terms of overall infrastructure, sustainable real estate, communications and market viability. It is a city where information technology is the principal infrastructure and the basis for providing essential services to residents. The concept of a "smart city" is becoming more and more prevalent, with cities recognizing that analytics and business intelligence can be integral to running a municipality more efficiently. Browse market data tables and in-depth TOC of the IoT in Smart Cities Market to 2025 @ http://www.theinsightpartners.com/reports/iot-in-smart-cities-market The report aims to provide an overview of Global IoT in smart Cities Market with detailed market segmentation by technology, platform, solution, industry vertical, and geography. The global IoT in smart cities market is expected to witness decent growth during the forecast period due to increasing demand of intelligent cites. Growing urbanization and increasing demand for better energy management are further fueling the growth of this market. The objectives of IoT in Smart Cities Report is as follows: • To provide overview of the global IoT in smart cities market • To analyze and forecast the global IoT in smart cities market on the basis of technology, platform, solution and industry vertical • To provide market size and forecast till 2025 for overall IoT in smart cities market with respect to five major regions, namely; North America, Europe, Asia-Pacific (APAC), Middle East and Africa (MEA) and South America (SAM), which is later sub-segmented by respective countries • To evaluate market dynamics effecting the market during the forecast period i.e., drivers, restraints, opportunities, and future trend • To provide exhaustive PEST analysis for all five regions • To profiles key players influencing the market along with their SWOT analysis and market strategies Inquire about discount on this report @ http://www.theinsightpartners.com/discount/TIPTE100000228 Some of the leading players in IoT in Smart Cities market are SAP SE, IBM Corporation, Oracle Corporation, Microsoft Corporation, SAS institute, Salesforce, tableau, Intel Corporation, Cisco Corporation and Bosch Software Innovation GmbH. About The Insight Partners: The Insight Partners is a one stop industry research provider of actionable intelligence. We help our clients in getting solutions to their research requirements through our syndicated and consulting research services. We are a specialist in Technology, Media, and Telecommunication industries. For more information, please visit http://www.theinsightpartners.com/


Newman J.,CSIRO | Sayle R.A.,Software Innovation | Fazio V.J.,CSIRO
Acta Crystallographica Section D: Biological Crystallography | Year: 2012

In protein crystallization, as well as in many other fields, it is known that the pH at which experiments are performed is often the key factor in the success or failure of the trials. With the trend towards plate-based high-throughput experimental techniques, measuring the pH values of solutions one by one becomes prohibitively time- and reagent-expensive. As part of an HT crystallization facility, a colour-based pH assay that is rapid, uses very little reagent and is suitable for 96-well or higher density plates has been developed. ©2012 International Union of Crystallography.


Lowe D.M.,Software Innovation | Sayle R.A.,Software Innovation
Journal of Cheminformatics | Year: 2015

Background: Chemical entity recognition has traditionally been performed by machine learning approaches. Here we describe an approach using grammars and dictionaries. This approach has the advantage that the entities found can be directly related to a given grammar or dictionary, which allows the type of an entity to be known and, if an entity is misannotated, indicates which resource should be corrected. As recognition is driven by what is expected, if spelling errors occur, they can be corrected. Correcting such errors is highly useful when attempting to lookup an entity in a database or, in the case of chemical names, converting them to structures. Results: Our system uses a mixture of expertly curated grammars and dictionaries, as well as dictionaries automatically derived from public resources. We show that the heuristics developed to filter our dictionary of trivial chemical names (from PubChem) yields a better performing dictionary than the previously published Jochem dictionary. Our final system performs post-processing steps to modify the boundaries of entities and to detect abbreviations. These steps are shown to significantly improve performance (2.6% and 4.0% F1-score respectively). Our complete system, with incremental post-BioCreative workshop improvements, achieves 89.9% precision and 85.4% recall (87.6% F1-score) on the CHEMDNER test set. Conclusions: Grammar and dictionary approaches can produce results at least as good as the current state of the art in machine learning approaches. While machine learning approaches are commonly thought of as "black box" systems, our approach directly links the output entities to the input dictionaries and grammars. Our approach also allows correction of errors in detected entities, which can assist with entity resolution. Copyright © 2015 Lowe and Sayle; licensee Springer.


Patent
Software Innovation | Date: 2013-09-13

A method executed at least in part in a computing device for providing cloud based skip tracing is provided. The method includes providing a cloud based service enabling data interchange with a plurality of vendors providing skip tracing services and receiving at the cloud based service and from a user a file of records for skip tracing. The method further includes applying a waterfall process to the records using the computing device wherein the waterfall process includes at least a subset of the plurality of vendors and returning to the user a results file containing skip tracing results corresponding to the records. The method may further include generating a waterfall score card and sending the waterfall score card to the user, the waterfall score card summarizing performance of the subset of the plurality of vendors.


Patent
Software Innovation | Date: 2013-07-17

A method for manual intervention in a dialing process includes maintaining a list of records containing phone numbers in a database stored on a computer readable storage medium, receiving at a computer and from the user a click for each of the records within the list of records in the database stored on the computer readable storage medium, and storing on a computer readable storage medium a record of the click, an identity of the user performing the click, and an association between the click and one of the records within the list of records. For each click, the method provides for electronically communicating the corresponding phone number of one of the records within the list to a dialing device for dialing the phone number. The method may further include dialing the phone number using the dialing device.


Patent
Software Innovation | Date: 2012-10-19

A method for manual intervention in a dialing process includes maintaining a list of records containing phone numbers in a database stored on a computer readable storage medium, receiving at a computer and from the user a click for each of the records within the list of records in the database stored on the computer readable storage medium, and storing on a computer readable storage medium a record of the click, an identity of the user performing the click, and an association between the click and one of the records within the list of records. For each click, the method provides for electronically communicating the corresponding phone number of one of the records within the list to a telecommunications system for dialing the phone number. The method may further include dialing the phone number using the telecommunications system.


Patent
Software Innovation | Date: 2012-10-04

A method executed at least in part in a computing device for providing cloud based skip tracing is provided. The method includes providing a cloud based service enabling data interchange with a plurality of vendors providing skip tracing services and receiving at the cloud based service and from a user a file of records for skip tracing. The method further includes applying a waterfall process to the records using the computing device wherein the waterfall process includes at least a subset of the plurality of vendors and returning to the user a results file containing skip tracing results corresponding to the records. The method may further include generating a waterfall score card and sending the waterfall score card to the user, the waterfall score card summarizing performance of the subset of the plurality of vendors.


Patent
Software Innovation | Date: 2014-04-11

A method includes providing a customer relationship management (CRM) system executing on one or more servers, providing a vendor interface to the CRM system, providing a client interface to the CRM system, wherein the client interface enables clients to send accounts to the CRM system for pre-legal and legal work, monitor performance on the accounts, and review the accounts, providing an attorney interface to the CRM system, wherein the attorney interface provides for receiving the accounts in the legal work flow and reporting on status of the accounts in the legal work flow, and providing a consumer interface to the CRM system, wherein the consumer interface enables a consumer to view and make payments to an account associated with the consumer. Whereas, all parts are managed by one entity instead of several across various platforms and structures.


A method for receiving authorization from a consumer includes steps of connecting a phone call associated with a consumer to an interactive voice response system after the agent has conveyed the confirmation number to the consumer, receiving the confirmation number from the consumer at the interactive voice response system to provide authorization from the consumer, and storing a record of entry of the confirmation number by the consumer through the interactive voice response system in a non-transitory computer readable storage medium.

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