�ݺ�ߣshows by User: machinepulse

�ݺ�ߣshows by User: machinepulse / http://www.slideshare.net/images/logo.gif �ݺ�ߣshows by User: machinepulse / Mon, 19 Dec 2016 06:50:30 GMT �ݺ�ߣShare feed for �ݺ�ߣshows by User: machinepulse Tracking PV module degradation using SolarPulse /slideshow/tracking-pv-module-degradation-using-solarpulse/70257145 trackingpvmoduledegradationusingsolarpulse-161219065030
In this case study, we have demonstrated the capability of SolarPulse to analyze numerous factors and arrive at the root cause of a problem. We have also shown how SolarPulse can be used to settle warranty claims in case of a product failure.]]>
In this case study, we have demonstrated the capability of SolarPulse to analyze numerous factors and arrive at the root cause of a problem. We have also shown how SolarPulse can be used to settle warranty claims in case of a product failure.]]> Mon, 19 Dec 2016 06:50:30 GMT /slideshow/tracking-pv-module-degradation-using-solarpulse/70257145 machinepulse@slideshare.net(machinepulse) Tracking PV module degradation using SolarPulse machinepulse In this case study, we have demonstrated the capability of SolarPulse to analyze numerous factors and arrive at the root cause of a problem. We have also shown how SolarPulse can be used to settle warranty claims in case of a product failure. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/trackingpvmoduledegradationusingsolarpulse-161219065030-thumbnail.jpg?width=120&height=120&fit=bounds" /> In this case study, we have demonstrated the capability of SolarPulse to analyze numerous factors and arrive at the root cause of a problem. We have also shown how SolarPulse can be used to settle warranty claims in case of a product failure.

Tracking PV module degradation using SolarPulse from MachinePulse

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0 SolarPulse solves the problem of managing distributed solar sites /slideshow/solarpulse-solves-the-problem-of-managing-distributed-solar-sites/70257140 solarpulsesolvestheproblemofmanagingdistributedsolarsites-161219065019
In this case study, we have provided a qualitative analysis of the benefits of using SolarPulse for monitoring of distributed solar sites. We have assessed the impact and advantage of SolarPulse in terms of costs, efficiency and ease of access.]]>
In this case study, we have provided a qualitative analysis of the benefits of using SolarPulse for monitoring of distributed solar sites. We have assessed the impact and advantage of SolarPulse in terms of costs, efficiency and ease of access.]]> Mon, 19 Dec 2016 06:50:19 GMT /slideshow/solarpulse-solves-the-problem-of-managing-distributed-solar-sites/70257140 machinepulse@slideshare.net(machinepulse) SolarPulse solves the problem of managing distributed solar sites machinepulse In this case study, we have provided a qualitative analysis of the benefits of using SolarPulse for monitoring of distributed solar sites. We have assessed the impact and advantage of SolarPulse in terms of costs, efficiency and ease of access. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/solarpulsesolvestheproblemofmanagingdistributedsolarsites-161219065019-thumbnail.jpg?width=120&height=120&fit=bounds" /> In this case study, we have provided a qualitative analysis of the benefits of using SolarPulse for monitoring of distributed solar sites. We have assessed the impact and advantage of SolarPulse in terms of costs, efficiency and ease of access.

SolarPulse solves the problem of managing distributed solar sites from MachinePulse

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0 SolarPulse helps PV plants reduce field expenses /slideshow/solarpulse-helps-pv-plants-reduce-field-expenses/70257134 solarpulsehelpspvplantsreducefieldexpenses-161219065012
Though there are many advantages of using SolarPulse, in this particular case study, we have focused only on the benefits of SolarPulse on reducing the costs of routine maintenance.]]>
Though there are many advantages of using SolarPulse, in this particular case study, we have focused only on the benefits of SolarPulse on reducing the costs of routine maintenance.]]> Mon, 19 Dec 2016 06:50:12 GMT /slideshow/solarpulse-helps-pv-plants-reduce-field-expenses/70257134 machinepulse@slideshare.net(machinepulse) SolarPulse helps PV plants reduce field expenses machinepulse Though there are many advantages of using SolarPulse, in this particular case study, we have focused only on the benefits of SolarPulse on reducing the costs of routine maintenance. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/solarpulsehelpspvplantsreducefieldexpenses-161219065012-thumbnail.jpg?width=120&height=120&fit=bounds" /> Though there are many advantages of using SolarPulse, in this particular case study, we have focused only on the benefits of SolarPulse on reducing the costs of routine maintenance.

SolarPulse helps PV plants reduce field expenses from MachinePulse

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0 Effective response to adverse weather conditions using SolarPulse /slideshow/effective-response-to-adverse-weather-conditions-using-solarpulse/70257128 effectiveresponsetoadverseweatherconditionsusingsolarpulse-161219065000
In this case study, we have demonstrated how SolarPulse can help PV plants to provide a quick response to such natural events and thus minimize losses.]]>
In this case study, we have demonstrated how SolarPulse can help PV plants to provide a quick response to such natural events and thus minimize losses.]]> Mon, 19 Dec 2016 06:50:00 GMT /slideshow/effective-response-to-adverse-weather-conditions-using-solarpulse/70257128 machinepulse@slideshare.net(machinepulse) Effective response to adverse weather conditions using SolarPulse machinepulse In this case study, we have demonstrated how SolarPulse can help PV plants to provide a quick response to such natural events and thus minimize losses. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/effectiveresponsetoadverseweatherconditionsusingsolarpulse-161219065000-thumbnail.jpg?width=120&height=120&fit=bounds" /> In this case study, we have demonstrated how SolarPulse can help PV plants to provide a quick response to such natural events and thus minimize losses.

Effective response to adverse weather conditions using SolarPulse from MachinePulse

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0 Assessing the impact of SolarPulse on performance of utility scale PV plants /slideshow/assessing-the-impact-of-solarpulse-on-performance-of-utility-scale-pv-plants/70257126 assessingtheimpactofsolarpulsetmonperformanceofutilityscalepvplants-161219064954
In this case study, we have assessed the impact of SolarPulse on the performance ratio, power generation, revenue and costs of the solar plant from the perspective of the plant owner and O&M operator. A real life event at the plant has also been analyzed to provide an example of the problem solving capabilities of SolarPulse.]]>
In this case study, we have assessed the impact of SolarPulse on the performance ratio, power generation, revenue and costs of the solar plant from the perspective of the plant owner and O&M operator. A real life event at the plant has also been analyzed to provide an example of the problem solving capabilities of SolarPulse.]]> Mon, 19 Dec 2016 06:49:54 GMT /slideshow/assessing-the-impact-of-solarpulse-on-performance-of-utility-scale-pv-plants/70257126 machinepulse@slideshare.net(machinepulse) Assessing the impact of SolarPulse on performance of utility scale PV plants machinepulse In this case study, we have assessed the impact of SolarPulse on the performance ratio, power generation, revenue and costs of the solar plant from the perspective of the plant owner and O&M operator. A real life event at the plant has also been analyzed to provide an example of the problem solving capabilities of SolarPulse. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/assessingtheimpactofsolarpulsetmonperformanceofutilityscalepvplants-161219064954-thumbnail.jpg?width=120&height=120&fit=bounds" /> In this case study, we have assessed the impact of SolarPulse on the performance ratio, power generation, revenue and costs of the solar plant from the perspective of the plant owner and O&M operator. A real life event at the plant has also been analyzed to provide an example of the problem solving capabilities of SolarPulse.

Assessing the impact of SolarPulse on performance of utility scale PV plants from MachinePulse

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0 Value of solar remote monitoring and analytics for operational intelligence /slideshow/value-of-solar-remote-monitoring-and-analytics-for-operational-intelligence-62922148/62922148 valueofsolarremotemonitoringandanalyticsforoperationalintelligence-160610073504
MachinePulse attended India Solar Week 2016 from June 2-3 in New Delhi. Our keynote speaker talked about how remote monitoring and analytics helps in increasing the operational efficiency of a solar plant. The presentation includes information about the company, our products and case studies.]]>
MachinePulse attended India Solar Week 2016 from June 2-3 in New Delhi. Our keynote speaker talked about how remote monitoring and analytics helps in increasing the operational efficiency of a solar plant. The presentation includes information about the company, our products and case studies.]]> Fri, 10 Jun 2016 07:35:04 GMT /slideshow/value-of-solar-remote-monitoring-and-analytics-for-operational-intelligence-62922148/62922148 machinepulse@slideshare.net(machinepulse) Value of solar remote monitoring and analytics for operational intelligence machinepulse MachinePulse attended India Solar Week 2016 from June 2-3 in New Delhi. Our keynote speaker talked about how remote monitoring and analytics helps in increasing the operational efficiency of a solar plant. The presentation includes information about the company, our products and case studies. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/valueofsolarremotemonitoringandanalyticsforoperationalintelligence-160610073504-thumbnail.jpg?width=120&height=120&fit=bounds" /> MachinePulse attended India Solar Week 2016 from June 2-3 in New Delhi. Our keynote speaker talked about how remote monitoring and analytics helps in increasing the operational efficiency of a solar plant. The presentation includes information about the company, our products and case studies.

Value of solar remote monitoring and analytics for operational intelligence from MachinePulse

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0 MachinePulse company presentation /slideshow/machinepulse-company-presentation-62920376/62920376 machinepulseproducts-160610061350
MachinePulseTM provides rapidly scalable, end-to-end solutions to enable a smarter industrial Internet of Things (IoT). Our product offerings are modular and domain independent. We offer a complete range of products from industrial grade data acquisition devices to a robust and scalable cloud platform, which can be deployed together or into existing IoT workflows with full flexibility. Using our products and rich domain expertise in the renewable energy sector, we have built applications to provide operational intelligence for the solar photovoltaic and wind energy industries. We are also working with our clients to deploy monitoring and analytics solutions for other industries. MachinePulseTM is part of the $16 B Mahindra Group and has an enthusiastic team of more than 60 data scientists, programmers, hardware and network specialists.]]>
MachinePulseTM provides rapidly scalable, end-to-end solutions to enable a smarter industrial Internet of Things (IoT). Our product offerings are modular and domain independent. We offer a complete range of products from industrial grade data acquisition devices to a robust and scalable cloud platform, which can be deployed together or into existing IoT workflows with full flexibility. Using our products and rich domain expertise in the renewable energy sector, we have built applications to provide operational intelligence for the solar photovoltaic and wind energy industries. We are also working with our clients to deploy monitoring and analytics solutions for other industries. MachinePulseTM is part of the $16 B Mahindra Group and has an enthusiastic team of more than 60 data scientists, programmers, hardware and network specialists.]]> Fri, 10 Jun 2016 06:13:49 GMT /slideshow/machinepulse-company-presentation-62920376/62920376 machinepulse@slideshare.net(machinepulse) MachinePulse company presentation machinepulse MachinePulseTM provides rapidly scalable, end-to-end solutions to enable a smarter industrial Internet of Things (IoT). Our product offerings are modular and domain independent. We offer a complete range of products from industrial grade data acquisition devices to a robust and scalable cloud platform, which can be deployed together or into existing IoT workflows with full flexibility. Using our products and rich domain expertise in the renewable energy sector, we have built applications to provide operational intelligence for the solar photovoltaic and wind energy industries. We are also working with our clients to deploy monitoring and analytics solutions for other industries. MachinePulseTM is part of the $16 B Mahindra Group and has an enthusiastic team of more than 60 data scientists, programmers, hardware and network specialists. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/machinepulseproducts-160610061350-thumbnail.jpg?width=120&height=120&fit=bounds" /> MachinePulseTM provides rapidly scalable, end-to-end solutions to enable a smarter industrial Internet of Things (IoT). Our product offerings are modular and domain independent. We offer a complete range of products from industrial grade data acquisition devices to a robust and scalable cloud platform, which can be deployed together or into existing IoT workflows with full flexibility. Using our products and rich domain expertise in the renewable energy sector, we have built applications to provide operational intelligence for the solar photovoltaic and wind energy industries. We are also working with our clients to deploy monitoring and analytics solutions for other industries. MachinePulseTM is part of the $16 B Mahindra Group and has an enthusiastic team of more than 60 data scientists, programmers, hardware and network specialists.

MachinePulse company presentation from MachinePulse

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0 MachinePulse Products /slideshow/machinepulse-products/62891537 machinepulseproducts-160609113554
MachinePulse provides rapidly scalable, end-to-end solutions to enable a smarter industrial Internet-of-Things. Our product offerings are modular and domain-independent. We offer a complete range of products from Industrial grade data acquisition devices to a robust and scalable cloud platform that can be deployed together or into existing IoT workflows with full flexibility. Using our products and rich domain expertise in the renewable energy sector, we have built applications to provide operational intelligence for the solar photovoltaic and wind energy industries. We are also working with our clients to deploy monitoring and analytics solutions for other industries. Our philosophy is “Any Device, Any Network, Any Protocol”.]]>
MachinePulse provides rapidly scalable, end-to-end solutions to enable a smarter industrial Internet-of-Things. Our product offerings are modular and domain-independent. We offer a complete range of products from Industrial grade data acquisition devices to a robust and scalable cloud platform that can be deployed together or into existing IoT workflows with full flexibility. Using our products and rich domain expertise in the renewable energy sector, we have built applications to provide operational intelligence for the solar photovoltaic and wind energy industries. We are also working with our clients to deploy monitoring and analytics solutions for other industries. Our philosophy is “Any Device, Any Network, Any Protocol”.]]> Thu, 09 Jun 2016 11:35:54 GMT /slideshow/machinepulse-products/62891537 machinepulse@slideshare.net(machinepulse) MachinePulse Products machinepulse MachinePulse provides rapidly scalable, end-to-end solutions to enable a smarter industrial Internet-of-Things. Our product offerings are modular and domain-independent. We offer a complete range of products from Industrial grade data acquisition devices to a robust and scalable cloud platform that can be deployed together or into existing IoT workflows with full flexibility. Using our products and rich domain expertise in the renewable energy sector, we have built applications to provide operational intelligence for the solar photovoltaic and wind energy industries. We are also working with our clients to deploy monitoring and analytics solutions for other industries. Our philosophy is “Any Device, Any Network, Any Protocol”. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/machinepulseproducts-160609113554-thumbnail.jpg?width=120&height=120&fit=bounds" /> MachinePulse provides rapidly scalable, end-to-end solutions to enable a smarter industrial Internet-of-Things. Our product offerings are modular and domain-independent. We offer a complete range of products from Industrial grade data acquisition devices to a robust and scalable cloud platform that can be deployed together or into existing IoT workflows with full flexibility. Using our products and rich domain expertise in the renewable energy sector, we have built applications to provide operational intelligence for the solar photovoltaic and wind energy industries. We are also working with our clients to deploy monitoring and analytics solutions for other industries. Our philosophy is “Any Device, Any Network, Any Protocol”.

MachinePulse Products from MachinePulse

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0 Industrial Internet of Things in Cleantech /machinepulse/industrial-internet-of-things-in-cleantech iotweekpune-9sep2015-150916083317-lva1-app6892
Covers Industrial IoT and its impact and a few solar case studies.]]>
Covers Industrial IoT and its impact and a few solar case studies.]]> Wed, 16 Sep 2015 08:33:17 GMT /machinepulse/industrial-internet-of-things-in-cleantech machinepulse@slideshare.net(machinepulse) Industrial Internet of Things in Cleantech machinepulse Covers Industrial IoT and its impact and a few solar case studies. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/iotweekpune-9sep2015-150916083317-lva1-app6892-thumbnail.jpg?width=120&height=120&fit=bounds" /> Covers Industrial IoT and its impact and a few solar case studies.

Industrial Internet of Things in Cleantech from MachinePulse

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0 MachinePulse at the Global Solar EPC Summit 2015 - 4th June 2015 /slideshow/machinepulse-at-the-global-solar-epc-summit-2015-4th-june-2015/49444188 machinpulse-gses2015-4thjune2015-150616083403-lva1-app6891
Unlocking Value of Solar Plant Data Through Analytics]]>
Unlocking Value of Solar Plant Data Through Analytics]]> Tue, 16 Jun 2015 08:34:03 GMT /slideshow/machinepulse-at-the-global-solar-epc-summit-2015-4th-june-2015/49444188 machinepulse@slideshare.net(machinepulse) MachinePulse at the Global Solar EPC Summit 2015 - 4th June 2015 machinepulse Unlocking Value of Solar Plant Data Through Analytics <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/machinpulse-gses2015-4thjune2015-150616083403-lva1-app6891-thumbnail.jpg?width=120&height=120&fit=bounds" /> Unlocking Value of Solar Plant Data Through Analytics

MachinePulse at the Global Solar EPC Summit 2015 - 4th June 2015 from MachinePulse

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0 Managing your Assets with Big Data Tools /slideshow/managing-your-assets-with-big-data-tools-45931405/45931405 karthikmar162015-150317052715-conversion-gate01
This presentation was given by Karthigai Muthu, Lead Big Data Analyst, at a meetup organized by the group Internet of Everything in March 2015. Through his presentation, Karthik provided a comprehensive understanding of available ecosystem tools and how they can be used to perform data engineering and data analytics. Karthik covers the following topics in his presentation: • Establishment of complete data pipeline using big data ecosystem tools. • Tackling of high velocity streams using various stream processing engines on cloud and performing Real Time analytics. • Tackling of historical data using big data ecosystem tools and migration of traditional infrastructure to big data environments. • Integration of big data ecosystem for data analysis using SAMOA , R and Mahout. • Deployments of big data environments on the cloud.]]>
This presentation was given by Karthigai Muthu, Lead Big Data Analyst, at a meetup organized by the group Internet of Everything in March 2015. Through his presentation, Karthik provided a comprehensive understanding of available ecosystem tools and how they can be used to perform data engineering and data analytics. Karthik covers the following topics in his presentation: • Establishment of complete data pipeline using big data ecosystem tools. • Tackling of high velocity streams using various stream processing engines on cloud and performing Real Time analytics. • Tackling of historical data using big data ecosystem tools and migration of traditional infrastructure to big data environments. • Integration of big data ecosystem for data analysis using SAMOA , R and Mahout. • Deployments of big data environments on the cloud.]]> Tue, 17 Mar 2015 05:27:15 GMT /slideshow/managing-your-assets-with-big-data-tools-45931405/45931405 machinepulse@slideshare.net(machinepulse) Managing your Assets with Big Data Tools machinepulse This presentation was given by Karthigai Muthu, Lead Big Data Analyst, at a meetup organized by the group Internet of Everything in March 2015. Through his presentation, Karthik provided a comprehensive understanding of available ecosystem tools and how they can be used to perform data engineering and data analytics. Karthik covers the following topics in his presentation: • Establishment of complete data pipeline using big data ecosystem tools. • Tackling of high velocity streams using various stream processing engines on cloud and performing Real Time analytics. • Tackling of historical data using big data ecosystem tools and migration of traditional infrastructure to big data environments. • Integration of big data ecosystem for data analysis using SAMOA , R and Mahout. • Deployments of big data environments on the cloud. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/karthikmar162015-150317052715-conversion-gate01-thumbnail.jpg?width=120&height=120&fit=bounds" /> This presentation was given by Karthigai Muthu, Lead Big Data Analyst, at a meetup organized by the group Internet of Everything in March 2015. Through his presentation, Karthik provided a comprehensive understanding of available ecosystem tools and how they can be used to perform data engineering and data analytics. Karthik covers the following topics in his presentation: • Establishment of complete data pipeline using big data ecosystem tools. • Tackling of high velocity streams using various stream processing engines on cloud and performing Real Time analytics. • Tackling of historical data using big data ecosystem tools and migration of traditional infrastructure to big data environments. • Integration of big data ecosystem for data analysis using SAMOA , R and Mahout. • Deployments of big data environments on the cloud.

Managing your Assets with Big Data Tools from MachinePulse

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0 Machine Learning and Real-World Applications /slideshow/machine-learning-and-realworld-applications/44145224 machinelearningmethods2final11-150202004303-conversion-gate02
This presentation was created by Ajay, Machine Learning Scientist at MachinePulse, to present at a Meetup on Jan. 30, 2015. These slides provide an overview of widely used machine learning algorithms. The slides conclude with examples of real world applications. Ajay Ramaseshan, is a Machine Learning Scientist at MachinePulse. He holds a Bachelors degree in Computer Science from NITK, Suratkhal and a Master in Machine Learning and Data Mining from Aalto University School of Science, Finland. He has extensive experience in the machine learning domain and has dealt with various real world problems.]]>
This presentation was created by Ajay, Machine Learning Scientist at MachinePulse, to present at a Meetup on Jan. 30, 2015. These slides provide an overview of widely used machine learning algorithms. The slides conclude with examples of real world applications. Ajay Ramaseshan, is a Machine Learning Scientist at MachinePulse. He holds a Bachelors degree in Computer Science from NITK, Suratkhal and a Master in Machine Learning and Data Mining from Aalto University School of Science, Finland. He has extensive experience in the machine learning domain and has dealt with various real world problems.]]> Mon, 02 Feb 2015 00:43:03 GMT /slideshow/machine-learning-and-realworld-applications/44145224 machinepulse@slideshare.net(machinepulse) Machine Learning and Real-World Applications machinepulse This presentation was created by Ajay, Machine Learning Scientist at MachinePulse, to present at a Meetup on Jan. 30, 2015. These slides provide an overview of widely used machine learning algorithms. The slides conclude with examples of real world applications. Ajay Ramaseshan, is a Machine Learning Scientist at MachinePulse. He holds a Bachelors degree in Computer Science from NITK, Suratkhal and a Master in Machine Learning and Data Mining from Aalto University School of Science, Finland. He has extensive experience in the machine learning domain and has dealt with various real world problems. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/machinelearningmethods2final11-150202004303-conversion-gate02-thumbnail.jpg?width=120&height=120&fit=bounds" /> This presentation was created by Ajay, Machine Learning Scientist at MachinePulse, to present at a Meetup on Jan. 30, 2015. These slides provide an overview of widely used machine learning algorithms. The slides conclude with examples of real world applications. Ajay Ramaseshan, is a Machine Learning Scientist at MachinePulse. He holds a Bachelors degree in Computer Science from NITK, Suratkhal and a Master in Machine Learning and Data Mining from Aalto University School of Science, Finland. He has extensive experience in the machine learning domain and has dealt with various real world problems.

Machine Learning and Real-World Applications from MachinePulse

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0 Challenges & Applications in the Industrial Internet of Things (IoT) /slideshow/challenges-applications-in-industrial-internet-of-things-iot/43494081 challengesapplicationinindustrialiot-sachinpukale2cmachinepulse2-150114012441-conversion-gate01
These slides detail the IoT applications for industries and the challenges they face in implementing the related technologies. Two case studies are explored - the first one is about GE Aviation and the second one on analyses MachinePulse's solution for solar power projects. About the author Sachin is lead Business Development Manager at MachinePulse where he works on expanding new business opportunities for the company's solutions. Sachin has close to 10 years of experience in product design & engineering of complex embedded systems, technology consulting and business development. Sachin is also founder and manager of a Meetup group for IoT enthusiasts in Mumbai called IoT Mumbai (IoTMUM) http://bit.ly/1KIqNYT]]>
These slides detail the IoT applications for industries and the challenges they face in implementing the related technologies. Two case studies are explored - the first one is about GE Aviation and the second one on analyses MachinePulse's solution for solar power projects. About the author Sachin is lead Business Development Manager at MachinePulse where he works on expanding new business opportunities for the company's solutions. Sachin has close to 10 years of experience in product design & engineering of complex embedded systems, technology consulting and business development. Sachin is also founder and manager of a Meetup group for IoT enthusiasts in Mumbai called IoT Mumbai (IoTMUM) http://bit.ly/1KIqNYT]]> Wed, 14 Jan 2015 01:24:41 GMT /slideshow/challenges-applications-in-industrial-internet-of-things-iot/43494081 machinepulse@slideshare.net(machinepulse) Challenges & Applications in the Industrial Internet of Things (IoT) machinepulse These slides detail the IoT applications for industries and the challenges they face in implementing the related technologies. Two case studies are explored - the first one is about GE Aviation and the second one on analyses MachinePulse's solution for solar power projects. About the author Sachin is lead Business Development Manager at MachinePulse where he works on expanding new business opportunities for the company's solutions. Sachin has close to 10 years of experience in product design & engineering of complex embedded systems, technology consulting and business development. Sachin is also founder and manager of a Meetup group for IoT enthusiasts in Mumbai called IoT Mumbai (IoTMUM) http://bit.ly/1KIqNYT <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/challengesapplicationinindustrialiot-sachinpukale2cmachinepulse2-150114012441-conversion-gate01-thumbnail.jpg?width=120&height=120&fit=bounds" /> These slides detail the IoT applications for industries and the challenges they face in implementing the related technologies. Two case studies are explored - the first one is about GE Aviation and the second one on analyses MachinePulse's solution for solar power projects. About the author Sachin is lead Business Development Manager at MachinePulse where he works on expanding new business opportunities for the company's solutions. Sachin has close to 10 years of experience in product design & engineering of complex embedded systems, technology consulting and business development. Sachin is also founder and manager of a Meetup group for IoT enthusiasts in Mumbai called IoT Mumbai (IoTMUM) http://bit.ly/1KIqNYT

Challenges & Applications in the Industrial Internet of Things (IoT) from MachinePulse

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0 Predictive Analytics - An Overview /slideshow/predictive-analytics-an-overview/43421168 vijayppt1-150112044308-conversion-gate02
This presentation introduces big data and explains how to generate actionable insights using analytics techniques. The deck explains general steps involved in a typical analytics project and provides a brief overview of the most commonly used predictive analytics methods and their business applications. Vijay Adamapure is a Data Science Enthusiast with extensive experience in the field of data mining, predictive modeling and machine learning. He has worked on numerous analytics projects ranging from healthcare, business analytics, renewable energy to IoT. Vijay presented these slides during the Internet of Everything Meetup event 'Predictive Analytics - An Overview' that took place on Jan. 9, 2015 in Mumbai. To join the Meetup group, register here: http://bit.ly/1A7T0A1 ]]>
This presentation introduces big data and explains how to generate actionable insights using analytics techniques. The deck explains general steps involved in a typical analytics project and provides a brief overview of the most commonly used predictive analytics methods and their business applications. Vijay Adamapure is a Data Science Enthusiast with extensive experience in the field of data mining, predictive modeling and machine learning. He has worked on numerous analytics projects ranging from healthcare, business analytics, renewable energy to IoT. Vijay presented these slides during the Internet of Everything Meetup event 'Predictive Analytics - An Overview' that took place on Jan. 9, 2015 in Mumbai. To join the Meetup group, register here: http://bit.ly/1A7T0A1 ]]> Mon, 12 Jan 2015 04:43:08 GMT /slideshow/predictive-analytics-an-overview/43421168 machinepulse@slideshare.net(machinepulse) Predictive Analytics - An Overview machinepulse This presentation introduces big data and explains how to generate actionable insights using analytics techniques. The deck explains general steps involved in a typical analytics project and provides a brief overview of the most commonly used predictive analytics methods and their business applications. Vijay Adamapure is a Data Science Enthusiast with extensive experience in the field of data mining, predictive modeling and machine learning. He has worked on numerous analytics projects ranging from healthcare, business analytics, renewable energy to IoT. Vijay presented these slides during the Internet of Everything Meetup event 'Predictive Analytics - An Overview' that took place on Jan. 9, 2015 in Mumbai. To join the Meetup group, register here: http://bit.ly/1A7T0A1 <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/vijayppt1-150112044308-conversion-gate02-thumbnail.jpg?width=120&height=120&fit=bounds" /> This presentation introduces big data and explains how to generate actionable insights using analytics techniques. The deck explains general steps involved in a typical analytics project and provides a brief overview of the most commonly used predictive analytics methods and their business applications. Vijay Adamapure is a Data Science Enthusiast with extensive experience in the field of data mining, predictive modeling and machine learning. He has worked on numerous analytics projects ranging from healthcare, business analytics, renewable energy to IoT. Vijay presented these slides during the Internet of Everything Meetup event 'Predictive Analytics - An Overview' that took place on Jan. 9, 2015 in Mumbai. To join the Meetup group, register here: http://bit.ly/1A7T0A1

Predictive Analytics - An Overview from MachinePulse

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0 IoT Cloud architecture /slideshow/iot-cloud-architecture/43146872 cloudarchitecture-150102062134-conversion-gate01
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]]> Fri, 02 Jan 2015 06:21:34 GMT /slideshow/iot-cloud-architecture/43146872 machinepulse@slideshare.net(machinepulse) IoT Cloud architecture machinepulse <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/cloudarchitecture-150102062134-conversion-gate01-thumbnail.jpg?width=120&height=120&fit=bounds" />

IoT Cloud architecture from MachinePulse

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0 MachinePulse at the November Open Hardware Meetup, Mumbai 2014 /slideshow/machinepulse-at-the-november-open-hardware-meetup-mumbai-2014/42391428 nov-141205070726-conversion-gate01
A presentation of open hardware and software that powers the Internet of Things. From hardware like the Raspberry Pi, Beaglebone to open source software like NodeJS, databases like MongoDB and AngularJS.]]>
A presentation of open hardware and software that powers the Internet of Things. From hardware like the Raspberry Pi, Beaglebone to open source software like NodeJS, databases like MongoDB and AngularJS.]]> Fri, 05 Dec 2014 07:07:26 GMT /slideshow/machinepulse-at-the-november-open-hardware-meetup-mumbai-2014/42391428 machinepulse@slideshare.net(machinepulse) MachinePulse at the November Open Hardware Meetup, Mumbai 2014 machinepulse A presentation of open hardware and software that powers the Internet of Things. From hardware like the Raspberry Pi, Beaglebone to open source software like NodeJS, databases like MongoDB and AngularJS. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/nov-141205070726-conversion-gate01-thumbnail.jpg?width=120&height=120&fit=bounds" /> A presentation of open hardware and software that powers the Internet of Things. From hardware like the Raspberry Pi, Beaglebone to open source software like NodeJS, databases like MongoDB and AngularJS.

MachinePulse at the November Open Hardware Meetup, Mumbai 2014 from MachinePulse

]]> 2029 1 https://cdn.slidesharecdn.com/ss_thumbnails/nov-141205070726-conversion-gate01-thumbnail.jpg?width=120&height=120&fit=bounds presentation 000000 http://activitystrea.ms/schema/1.0/post

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0 https://cdn.slidesharecdn.com/profile-photo-machinepulse-48x48.jpg?cb=1523539659 MachinePulse is an Internet of Things platform provider based in Mumbai. The big data platform, erixis, has in-built machine learning and predictive analytics capabilities providing machine data solutions. MachinePulse has branch offices in Chennai and Bangalore. To learn more, email info@machinepulse.in machinepulse.com/ https://cdn.slidesharecdn.com/ss_thumbnails/trackingpvmoduledegradationusingsolarpulse-161219065030-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/tracking-pv-module-degradation-using-solarpulse/70257145 Tracking PV module deg... https://cdn.slidesharecdn.com/ss_thumbnails/solarpulsesolvestheproblemofmanagingdistributedsolarsites-161219065019-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/solarpulse-solves-the-problem-of-managing-distributed-solar-sites/70257140 SolarPulse solves the ... https://cdn.slidesharecdn.com/ss_thumbnails/solarpulsehelpspvplantsreducefieldexpenses-161219065012-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/solarpulse-helps-pv-plants-reduce-field-expenses/70257134 SolarPulse helps PV pl...