�ݺ�ߣshows by User: sparkcognition

�ݺ�ߣshows by User: sparkcognition / http://www.slideshare.net/images/logo.gif �ݺ�ߣshows by User: sparkcognition / Tue, 16 May 2017 14:54:57 GMT �ݺ�ߣShare feed for �ݺ�ߣshows by User: sparkcognition How to Use Artificial Intelligence to Minimize your Cybersecurity Attack Surface /slideshow/how-to-use-artificial-intelligence-to-minimize-your-cybersecurity-attack-surface/76024068 howtouseartificialintelligencetominimizeyourcybersecurityattacksurface-170516145457
Cybercrime is an exponentially growing threat to the world’s businesses, governments, and citizens. Estimates of the annual impact of cybercrime on the global economy reach as high as $600 billion, and attackers have been easily evading signature-based antivirus solutions for years. Making matters worse, the exponential growth in both connected devices and malware is overwhelming the capacity of enterprise security teams. Organizations are being asked to secure IT, Mobility, IoT, and OT assets all while staying on top of the latest zero-day and polymorphic threats. Fill out the form below to access our free on-demand version of the webinar ]]>
Cybercrime is an exponentially growing threat to the world’s businesses, governments, and citizens. Estimates of the annual impact of cybercrime on the global economy reach as high as $600 billion, and attackers have been easily evading signature-based antivirus solutions for years. Making matters worse, the exponential growth in both connected devices and malware is overwhelming the capacity of enterprise security teams. Organizations are being asked to secure IT, Mobility, IoT, and OT assets all while staying on top of the latest zero-day and polymorphic threats. Fill out the form below to access our free on-demand version of the webinar ]]> Tue, 16 May 2017 14:54:57 GMT /slideshow/how-to-use-artificial-intelligence-to-minimize-your-cybersecurity-attack-surface/76024068 sparkcognition@slideshare.net(sparkcognition) How to Use Artificial Intelligence to Minimize your Cybersecurity Attack Surface sparkcognition Cybercrime is an exponentially growing threat to the world’s businesses, governments, and citizens. Estimates of the annual impact of cybercrime on the global economy reach as high as $600 billion, and attackers have been easily evading signature-based antivirus solutions for years. Making matters worse, the exponential growth in both connected devices and malware is overwhelming the capacity of enterprise security teams. Organizations are being asked to secure IT, Mobility, IoT, and OT assets all while staying on top of the latest zero-day and polymorphic threats. Fill out the form below to access our free on-demand version of the webinar <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/howtouseartificialintelligencetominimizeyourcybersecurityattacksurface-170516145457-thumbnail.jpg?width=120&height=120&fit=bounds" /> Cybercrime is an exponentially growing threat to the world’s businesses, governments, and citizens. Estimates of the annual impact of cybercrime on the global economy reach as high as $600 billion, and attackers have been easily evading signature-based antivirus solutions for years. Making matters worse, the exponential growth in both connected devices and malware is overwhelming the capacity of enterprise security teams. Organizations are being asked to secure IT, Mobility, IoT, and OT assets all while staying on top of the latest zero-day and polymorphic threats. Fill out the form below to access our free on-demand version of the webinar

How to Use Artificial Intelligence to Minimize your Cybersecurity Attack Surface from SparkCognition

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0 Using a Cognitive Analytic Approach to Enhance Cybersecurity on Oil and Gas OT Systems /slideshow/using-a-cognitive-analytic-approach-to-enhance-cybersecurity-on-oil-and-gas-ot-systems/75791184 otc17-finaljc1-170508195651
IoT has revolutionized processes throughout oil and gas operations, but the increased connectivity it provides also leaves systems more vulnerable to cyberattacks than ever before. To sufficiently combat the growth of threats in both number and sophistication, combined with the scarcity of security talent, the oil and gas industry needs a stronger approach to cybersecurity. AI-based solutions for cybersecurity can monitor and protect not only the IT infrastructure, but also the OT network.]]>
IoT has revolutionized processes throughout oil and gas operations, but the increased connectivity it provides also leaves systems more vulnerable to cyberattacks than ever before. To sufficiently combat the growth of threats in both number and sophistication, combined with the scarcity of security talent, the oil and gas industry needs a stronger approach to cybersecurity. AI-based solutions for cybersecurity can monitor and protect not only the IT infrastructure, but also the OT network.]]> Mon, 08 May 2017 19:56:51 GMT /slideshow/using-a-cognitive-analytic-approach-to-enhance-cybersecurity-on-oil-and-gas-ot-systems/75791184 sparkcognition@slideshare.net(sparkcognition) Using a Cognitive Analytic Approach to Enhance Cybersecurity on Oil and Gas OT Systems sparkcognition IoT has revolutionized processes throughout oil and gas operations, but the increased connectivity it provides also leaves systems more vulnerable to cyberattacks than ever before. To sufficiently combat the growth of threats in both number and sophistication, combined with the scarcity of security talent, the oil and gas industry needs a stronger approach to cybersecurity. AI-based solutions for cybersecurity can monitor and protect not only the IT infrastructure, but also the OT network. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/otc17-finaljc1-170508195651-thumbnail.jpg?width=120&height=120&fit=bounds" /> IoT has revolutionized processes throughout oil and gas operations, but the increased connectivity it provides also leaves systems more vulnerable to cyberattacks than ever before. To sufficiently combat the growth of threats in both number and sophistication, combined with the scarcity of security talent, the oil and gas industry needs a stronger approach to cybersecurity. AI-based solutions for cybersecurity can monitor and protect not only the IT infrastructure, but also the OT network.

Using a Cognitive Analytic Approach to Enhance Cybersecurity on Oil and Gas OT Systems from SparkCognition

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0 Machine learning’s impact on utilities webinar /slideshow/machine-learnings-impact-on-utilities-webinar/67742571 machinelearningsimpactonutilitieswebinarfinal-161027174049
Navigant Research estimates that utility companies will spend almost $50 billion on asset management and grid monitoring technology by 2023. Today many organizations are facing budgetary challenges in order to increase reliability, uptime and safety within their facilities. The industry is adapting to new technologies including utilization of advanced sensors and sensor fusion, edge devices, artificial intelligence, and machine learning to create the maintenance center of the future. Bernie Cook, former Director of Maintenance and Diagnostics at Duke Energy and now VP of Woyshner Service consulting, will join us to provide practical guidance and examples of how utilities can begin adapting these next generation technologies within their facilities to drive significant reduction in maintenance costs. Following Bernie, Stuart Gillen, Director of Business Development at SparkCognition, will give examples of how machine learning technologies are augmenting current practices that make maintenance engineers more efficient at predicting critical asset failure. Join this webinar to learn about: - Real examples of ways utilities are moving to more advanced monitoring and diagnostic capabilities and the technologies involved. - How machine learning can improve equipment reliability and performance, and reduce operational and maintenance costs. - How machine learning can augment or even supplement human subject matter experts by providing significant advance notice of asset performance issues. ]]>
Navigant Research estimates that utility companies will spend almost $50 billion on asset management and grid monitoring technology by 2023. Today many organizations are facing budgetary challenges in order to increase reliability, uptime and safety within their facilities. The industry is adapting to new technologies including utilization of advanced sensors and sensor fusion, edge devices, artificial intelligence, and machine learning to create the maintenance center of the future. Bernie Cook, former Director of Maintenance and Diagnostics at Duke Energy and now VP of Woyshner Service consulting, will join us to provide practical guidance and examples of how utilities can begin adapting these next generation technologies within their facilities to drive significant reduction in maintenance costs. Following Bernie, Stuart Gillen, Director of Business Development at SparkCognition, will give examples of how machine learning technologies are augmenting current practices that make maintenance engineers more efficient at predicting critical asset failure. Join this webinar to learn about: - Real examples of ways utilities are moving to more advanced monitoring and diagnostic capabilities and the technologies involved. - How machine learning can improve equipment reliability and performance, and reduce operational and maintenance costs. - How machine learning can augment or even supplement human subject matter experts by providing significant advance notice of asset performance issues. ]]> Thu, 27 Oct 2016 17:40:49 GMT /slideshow/machine-learnings-impact-on-utilities-webinar/67742571 sparkcognition@slideshare.net(sparkcognition) Machine learning’s impact on utilities webinar sparkcognition Navigant Research estimates that utility companies will spend almost $50 billion on asset management and grid monitoring technology by 2023. Today many organizations are facing budgetary challenges in order to increase reliability, uptime and safety within their facilities. The industry is adapting to new technologies including utilization of advanced sensors and sensor fusion, edge devices, artificial intelligence, and machine learning to create the maintenance center of the future. Bernie Cook, former Director of Maintenance and Diagnostics at Duke Energy and now VP of Woyshner Service consulting, will join us to provide practical guidance and examples of how utilities can begin adapting these next generation technologies within their facilities to drive significant reduction in maintenance costs. Following Bernie, Stuart Gillen, Director of Business Development at SparkCognition, will give examples of how machine learning technologies are augmenting current practices that make maintenance engineers more efficient at predicting critical asset failure. Join this webinar to learn about: - Real examples of ways utilities are moving to more advanced monitoring and diagnostic capabilities and the technologies involved. - How machine learning can improve equipment reliability and performance, and reduce operational and maintenance costs. - How machine learning can augment or even supplement human subject matter experts by providing significant advance notice of asset performance issues. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/machinelearningsimpactonutilitieswebinarfinal-161027174049-thumbnail.jpg?width=120&height=120&fit=bounds" /> Navigant Research estimates that utility companies will spend almost $50 billion on asset management and grid monitoring technology by 2023. Today many organizations are facing budgetary challenges in order to increase reliability, uptime and safety within their facilities. The industry is adapting to new technologies including utilization of advanced sensors and sensor fusion, edge devices, artificial intelligence, and machine learning to create the maintenance center of the future. Bernie Cook, former Director of Maintenance and Diagnostics at Duke Energy and now VP of Woyshner Service consulting, will join us to provide practical guidance and examples of how utilities can begin adapting these next generation technologies within their facilities to drive significant reduction in maintenance costs. Following Bernie, Stuart Gillen, Director of Business Development at SparkCognition, will give examples of how machine learning technologies are augmenting current practices that make maintenance engineers more efficient at predicting critical asset failure. Join this webinar to learn about: - Real examples of ways utilities are moving to more advanced monitoring and diagnostic capabilities and the technologies involved. - How machine learning can improve equipment reliability and performance, and reduce operational and maintenance costs. - How machine learning can augment or even supplement human subject matter experts by providing significant advance notice of asset performance issues.

Machine learning’s impact on utilities webinar from SparkCognition

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0 Cognitive Analysis With SparkSecure /slideshow/cognitive-analysis-with-sparksecure/66860048 sparksecure1-161007140701
SparkSecure adds a cognitive layer to traditional security solutions, increasing the operational efficiency and knowledge retention of your incident response and security analyst teams. Essentially, SparkSecure does much of what a human security analyst can do, but at machine speed and Big Data scale.]]>
SparkSecure adds a cognitive layer to traditional security solutions, increasing the operational efficiency and knowledge retention of your incident response and security analyst teams. Essentially, SparkSecure does much of what a human security analyst can do, but at machine speed and Big Data scale.]]> Fri, 07 Oct 2016 14:07:01 GMT /slideshow/cognitive-analysis-with-sparksecure/66860048 sparkcognition@slideshare.net(sparkcognition) Cognitive Analysis With SparkSecure sparkcognition SparkSecure adds a cognitive layer to traditional security solutions, increasing the operational efficiency and knowledge retention of your incident response and security analyst teams. Essentially, SparkSecure does much of what a human security analyst can do, but at machine speed and Big Data scale. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/sparksecure1-161007140701-thumbnail.jpg?width=120&height=120&fit=bounds" /> SparkSecure adds a cognitive layer to traditional security solutions, increasing the operational efficiency and knowledge retention of your incident response and security analyst teams. Essentially, SparkSecure does much of what a human security analyst can do, but at machine speed and Big Data scale.

Cognitive Analysis With SparkSecure from SparkCognition

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0 Cognitive Security: How Artificial Intelligence is Your New Best Friend /slideshow/cognitive-security-how-artificial-intelligence-is-your-new-best-friend/66079440 almachine-learningwebinar-160916014934
For more information, visit http://sparkcognition.com For all that you hear about artificial intelligence and machine learning, how can it help you keep your networks safer and more secure? In this new era of computing, we will explore how artificial intelligence is being used to super charge human intelligence in threat detection, evidence gathering and remediation. In this webinar we will discuss how this new, cutting edge cognitive security is being utilized to: Increase speed, accuracy, and data processing capabilities to unparalleled levels Reduce false alarms Provide sub-second malware detection Retain knowledge in a self-learning environment Provide signature free security and zero-day threat detection]]>
For more information, visit http://sparkcognition.com For all that you hear about artificial intelligence and machine learning, how can it help you keep your networks safer and more secure? In this new era of computing, we will explore how artificial intelligence is being used to super charge human intelligence in threat detection, evidence gathering and remediation. In this webinar we will discuss how this new, cutting edge cognitive security is being utilized to: Increase speed, accuracy, and data processing capabilities to unparalleled levels Reduce false alarms Provide sub-second malware detection Retain knowledge in a self-learning environment Provide signature free security and zero-day threat detection]]> Fri, 16 Sep 2016 01:49:34 GMT /slideshow/cognitive-security-how-artificial-intelligence-is-your-new-best-friend/66079440 sparkcognition@slideshare.net(sparkcognition) Cognitive Security: How Artificial Intelligence is Your New Best Friend sparkcognition For more information, visit http://sparkcognition.com For all that you hear about artificial intelligence and machine learning, how can it help you keep your networks safer and more secure? In this new era of computing, we will explore how artificial intelligence is being used to super charge human intelligence in threat detection, evidence gathering and remediation. In this webinar we will discuss how this new, cutting edge cognitive security is being utilized to: Increase speed, accuracy, and data processing capabilities to unparalleled levels Reduce false alarms Provide sub-second malware detection Retain knowledge in a self-learning environment Provide signature free security and zero-day threat detection <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/almachine-learningwebinar-160916014934-thumbnail.jpg?width=120&height=120&fit=bounds" /> For more information, visit http://sparkcognition.com For all that you hear about artificial intelligence and machine learning, how can it help you keep your networks safer and more secure? In this new era of computing, we will explore how artificial intelligence is being used to super charge human intelligence in threat detection, evidence gathering and remediation. In this webinar we will discuss how this new, cutting edge cognitive security is being utilized to: Increase speed, accuracy, and data processing capabilities to unparalleled levels Reduce false alarms Provide sub-second malware detection Retain knowledge in a self-learning environment Provide signature free security and zero-day threat detection

Cognitive Security: How Artificial Intelligence is Your New Best Friend from SparkCognition

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0 Ai in Cyber Warfare /slideshow/ai-in-cyber-warfare/65289635 aiinwarfare-160823185125
A timeline that shows the role of AI and Machine Learning in cyber warfare throughout history, what we're doing now, and public opinion.]]>
A timeline that shows the role of AI and Machine Learning in cyber warfare throughout history, what we're doing now, and public opinion.]]> Tue, 23 Aug 2016 18:51:25 GMT /slideshow/ai-in-cyber-warfare/65289635 sparkcognition@slideshare.net(sparkcognition) Ai in Cyber Warfare sparkcognition A timeline that shows the role of AI and Machine Learning in cyber warfare throughout history, what we're doing now, and public opinion. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/aiinwarfare-160823185125-thumbnail.jpg?width=120&height=120&fit=bounds" /> A timeline that shows the role of AI and Machine Learning in cyber warfare throughout history, what we're doing now, and public opinion.

Ai in Cyber Warfare from SparkCognition

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0 AWEA Cognitive Analytics for Predictive Futures /slideshow/awea-cognitive-analytics-for-predictive-futures/65133952 aweawebinar2016v10-160818162832
Machine Learning helps make complex systems more efficient. By applying advanced Machine Learning techniques such as Cognitive Fingerprinting™, wind project operators can utilize these tools to learn from collected data, detect regular patterns, and optimize their own operations. Research has demonstrated the value of Machine Learning in delivering next generation analytics to improve safety, performance, and reliability in today’s modern wind turbines.]]>
Machine Learning helps make complex systems more efficient. By applying advanced Machine Learning techniques such as Cognitive Fingerprinting™, wind project operators can utilize these tools to learn from collected data, detect regular patterns, and optimize their own operations. Research has demonstrated the value of Machine Learning in delivering next generation analytics to improve safety, performance, and reliability in today’s modern wind turbines.]]> Thu, 18 Aug 2016 16:28:32 GMT /slideshow/awea-cognitive-analytics-for-predictive-futures/65133952 sparkcognition@slideshare.net(sparkcognition) AWEA Cognitive Analytics for Predictive Futures sparkcognition Machine Learning helps make complex systems more efficient. By applying advanced Machine Learning techniques such as Cognitive Fingerprinting™, wind project operators can utilize these tools to learn from collected data, detect regular patterns, and optimize their own operations. Research has demonstrated the value of Machine Learning in delivering next generation analytics to improve safety, performance, and reliability in today’s modern wind turbines. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/aweawebinar2016v10-160818162832-thumbnail.jpg?width=120&height=120&fit=bounds" /> Machine Learning helps make complex systems more efficient. By applying advanced Machine Learning techniques such as Cognitive Fingerprinting™, wind project operators can utilize these tools to learn from collected data, detect regular patterns, and optimize their own operations. Research has demonstrated the value of Machine Learning in delivering next generation analytics to improve safety, performance, and reliability in today’s modern wind turbines.

AWEA Cognitive Analytics for Predictive Futures from SparkCognition

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0 Cyberattacks on the Rise Infographic /slideshow/cyberattacks-on-the-rise-infographic/64413635 infographic1-160726215334
For more information, visit http://sparkcognition.com Cybersecurity is the number one priority for both industry and government sectors. In fact, $90 trillion could be lost by 2030 due to cyberattacks if cybersecurity fails to accelerate. What are we doing now and what’s the future?]]>
For more information, visit http://sparkcognition.com Cybersecurity is the number one priority for both industry and government sectors. In fact, $90 trillion could be lost by 2030 due to cyberattacks if cybersecurity fails to accelerate. What are we doing now and what’s the future?]]> Tue, 26 Jul 2016 21:53:34 GMT /slideshow/cyberattacks-on-the-rise-infographic/64413635 sparkcognition@slideshare.net(sparkcognition) Cyberattacks on the Rise Infographic sparkcognition For more information, visit http://sparkcognition.com Cybersecurity is the number one priority for both industry and government sectors. In fact, $90 trillion could be lost by 2030 due to cyberattacks if cybersecurity fails to accelerate. What are we doing now and what’s the future? <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/infographic1-160726215334-thumbnail.jpg?width=120&height=120&fit=bounds" /> For more information, visit http://sparkcognition.com Cybersecurity is the number one priority for both industry and government sectors. In fact, $90 trillion could be lost by 2030 due to cyberattacks if cybersecurity fails to accelerate. What are we doing now and what’s the future?

Cyberattacks on the Rise Infographic from SparkCognition

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0 Artificial Intelligence Application in Oil and Gas /slideshow/oil-and-gas-webinar/64408200 ogwebinar-160726183116
Visit http://sparkcognition.com for more information. To access and listen to the on-demand version of the webinar, go here: http://sparkcognition.com/ai-oil-and-gas-webinar-video/ Learn how Artificial Intelligence and Machine Learning are being effectively applied in Oil & Gas right now, how they will become even more prevalent, and how they can impact your bottom line and transform your business. We'll cover: • Fundamentals of Artificial Intelligence and Machine Learning • Understanding of why Artificial Intelligence and Machine Learning are revolutionary in how they can help the Oil & Gas industry. This technology is already being used to prevent downhole tool failures or events like stuck pipes, pinpointing the ideal drilling locations during exploration and discovery, predicting pipeline pump failures, identify frack truck pump failures, etc. • Real world examples of how other clients are using AI/ML today ]]>
Visit http://sparkcognition.com for more information. To access and listen to the on-demand version of the webinar, go here: http://sparkcognition.com/ai-oil-and-gas-webinar-video/ Learn how Artificial Intelligence and Machine Learning are being effectively applied in Oil & Gas right now, how they will become even more prevalent, and how they can impact your bottom line and transform your business. We'll cover: • Fundamentals of Artificial Intelligence and Machine Learning • Understanding of why Artificial Intelligence and Machine Learning are revolutionary in how they can help the Oil & Gas industry. This technology is already being used to prevent downhole tool failures or events like stuck pipes, pinpointing the ideal drilling locations during exploration and discovery, predicting pipeline pump failures, identify frack truck pump failures, etc. • Real world examples of how other clients are using AI/ML today ]]> Tue, 26 Jul 2016 18:31:16 GMT /slideshow/oil-and-gas-webinar/64408200 sparkcognition@slideshare.net(sparkcognition) Artificial Intelligence Application in Oil and Gas sparkcognition Visit http://sparkcognition.com for more information. To access and listen to the on-demand version of the webinar, go here: http://sparkcognition.com/ai-oil-and-gas-webinar-video/ Learn how Artificial Intelligence and Machine Learning are being effectively applied in Oil & Gas right now, how they will become even more prevalent, and how they can impact your bottom line and transform your business. We'll cover: • Fundamentals of Artificial Intelligence and Machine Learning • Understanding of why Artificial Intelligence and Machine Learning are revolutionary in how they can help the Oil & Gas industry. This technology is already being used to prevent downhole tool failures or events like stuck pipes, pinpointing the ideal drilling locations during exploration and discovery, predicting pipeline pump failures, identify frack truck pump failures, etc. • Real world examples of how other clients are using AI/ML today <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/ogwebinar-160726183116-thumbnail.jpg?width=120&height=120&fit=bounds" /> Visit http://sparkcognition.com for more information. To access and listen to the on-demand version of the webinar, go here: http://sparkcognition.com/ai-oil-and-gas-webinar-video/ Learn how Artificial Intelligence and Machine Learning are being effectively applied in Oil & Gas right now, how they will become even more prevalent, and how they can impact your bottom line and transform your business. We'll cover: • Fundamentals of Artificial Intelligence and Machine Learning • Understanding of why Artificial Intelligence and Machine Learning are revolutionary in how they can help the Oil & Gas industry. This technology is already being used to prevent downhole tool failures or events like stuck pipes, pinpointing the ideal drilling locations during exploration and discovery, predicting pipeline pump failures, identify frack truck pump failures, etc. • Real world examples of how other clients are using AI/ML today

Artificial Intelligence Application in Oil and Gas from SparkCognition

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0 Machine Learning and Cognitive Fingerprinting - SparkCognition /slideshow/machine-learning-and-cognitive-fingerprinting-sparkcognition/63825213 stuartgillen-160707203635
Source: http://sparkcognition.com Machine Learning helps make complex systems more efficient. By applying advanced Machine Learning techniques such as Cognitive Fingerprinting, wind project operators can utilize these tools to learn from collected data, detect regular patterns, and optimize their own operations. In his session at 18th Cloud Expo, Stuart Gillen, Director of Business Development at SparkCognition, discussed how research has demonstrated the value of Machine Learning in delivering next generation analytics to improve safety, performance, and reliability in today's modern wind turbines.]]>
Source: http://sparkcognition.com Machine Learning helps make complex systems more efficient. By applying advanced Machine Learning techniques such as Cognitive Fingerprinting, wind project operators can utilize these tools to learn from collected data, detect regular patterns, and optimize their own operations. In his session at 18th Cloud Expo, Stuart Gillen, Director of Business Development at SparkCognition, discussed how research has demonstrated the value of Machine Learning in delivering next generation analytics to improve safety, performance, and reliability in today's modern wind turbines.]]> Thu, 07 Jul 2016 20:36:35 GMT /slideshow/machine-learning-and-cognitive-fingerprinting-sparkcognition/63825213 sparkcognition@slideshare.net(sparkcognition) Machine Learning and Cognitive Fingerprinting - SparkCognition sparkcognition Source: http://sparkcognition.com Machine Learning helps make complex systems more efficient. By applying advanced Machine Learning techniques such as Cognitive Fingerprinting, wind project operators can utilize these tools to learn from collected data, detect regular patterns, and optimize their own operations. In his session at 18th Cloud Expo, Stuart Gillen, Director of Business Development at SparkCognition, discussed how research has demonstrated the value of Machine Learning in delivering next generation analytics to improve safety, performance, and reliability in today's modern wind turbines. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/stuartgillen-160707203635-thumbnail.jpg?width=120&height=120&fit=bounds" /> Source: http://sparkcognition.com Machine Learning helps make complex systems more efficient. By applying advanced Machine Learning techniques such as Cognitive Fingerprinting, wind project operators can utilize these tools to learn from collected data, detect regular patterns, and optimize their own operations. In his session at 18th Cloud Expo, Stuart Gillen, Director of Business Development at SparkCognition, discussed how research has demonstrated the value of Machine Learning in delivering next generation analytics to improve safety, performance, and reliability in today's modern wind turbines.

Machine Learning and Cognitive Fingerprinting - SparkCognition from SparkCognition

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0 https://cdn.slidesharecdn.com/profile-photo-sparkcognition-48x48.jpg?cb=1538075918 Human Intelligence @ Machine Scale sparkcognition.com https://cdn.slidesharecdn.com/ss_thumbnails/howtouseartificialintelligencetominimizeyourcybersecurityattacksurface-170516145457-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/how-to-use-artificial-intelligence-to-minimize-your-cybersecurity-attack-surface/76024068 How to Use Artificial ... https://cdn.slidesharecdn.com/ss_thumbnails/otc17-finaljc1-170508195651-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/using-a-cognitive-analytic-approach-to-enhance-cybersecurity-on-oil-and-gas-ot-systems/75791184 Using a Cognitive Anal... https://cdn.slidesharecdn.com/ss_thumbnails/machinelearningsimpactonutilitieswebinarfinal-161027174049-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/machine-learnings-impact-on-utilities-webinar/67742571 Machine learning’s imp...