ºÝºÝߣshows by User: ORBIQ / http://www.slideshare.net/images/logo.gif ºÝºÝߣshows by User: ORBIQ / Thu, 07 Feb 2019 19:10:19 GMT ºÝºÝߣShare feed for ºÝºÝߣshows by User: ORBIQ The Impact of AI Use Cases on the German Economy /slideshow/the-impact-of-ai-use-cases-on-the-german-economy/130906753 appanionmeetup-190207191019
All data shown in this presentation is accessible at appanion.com/usecases 06th February 2019 Appanion@meetup.ai Hamburg Introduction to the Appanion approach of seizing and prioritizing AI use cases based on an analysis of over 1,000 use cases across 40 different industries for the German market. ]]>

All data shown in this presentation is accessible at appanion.com/usecases 06th February 2019 Appanion@meetup.ai Hamburg Introduction to the Appanion approach of seizing and prioritizing AI use cases based on an analysis of over 1,000 use cases across 40 different industries for the German market. ]]>
Thu, 07 Feb 2019 19:10:19 GMT /slideshow/the-impact-of-ai-use-cases-on-the-german-economy/130906753 ORBIQ@slideshare.net(ORBIQ) The Impact of AI Use Cases on the German Economy ORBIQ All data shown in this presentation is accessible at appanion.com/usecases 06th February 2019 Appanion@meetup.ai Hamburg Introduction to the Appanion approach of seizing and prioritizing AI use cases based on an analysis of over 1,000 use cases across 40 different industries for the German market. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/appanionmeetup-190207191019-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> All data shown in this presentation is accessible at appanion.com/usecases 06th February 2019 Appanion@meetup.ai Hamburg Introduction to the Appanion approach of seizing and prioritizing AI use cases based on an analysis of over 1,000 use cases across 40 different industries for the German market.
The Impact of AI Use Cases on the German Economy from APPANION
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Betrugserkennung in Versicherungen durch Machine Learning und Predictive Analytics https://de.slideshare.net/slideshow/betrugserkennung-in-versicherungen-durch-machine-learning-und-predictive-analytics/129852716 predictivefraud-190130152249
Laut des Gesamtverbandes der Deutschen Versicherungswirtschaft ist etwa 10% des Schadenaufwands deutscher Versicherer auf Betrugsfälle zurückzuführen.1 Alleine Schaden- und Unfallversicherer verlieren dadurch 4-5 Mrd. € pro Jahr. Tendenz steigend! Bekämpft wird diese Entwicklung zumeist manuell oder mithilfe veralteter Technologien. Effiziente Schadensregulierung und hohes Kundenserviceniveau können oftmals nicht gewährleistet werden, sobald eine höhere Genauigkeit in der Betrugserkennung erreicht werden soll. Der Einsatz moderner Datenbank-Lösungen und KI gestützter Cloud-Services ermöglicht höhere Schnelligkeit, Lernfähigkeit und Genauigkeit im Umgang mit potentiellen Betrugsfällen.]]>

Laut des Gesamtverbandes der Deutschen Versicherungswirtschaft ist etwa 10% des Schadenaufwands deutscher Versicherer auf Betrugsfälle zurückzuführen.1 Alleine Schaden- und Unfallversicherer verlieren dadurch 4-5 Mrd. € pro Jahr. Tendenz steigend! Bekämpft wird diese Entwicklung zumeist manuell oder mithilfe veralteter Technologien. Effiziente Schadensregulierung und hohes Kundenserviceniveau können oftmals nicht gewährleistet werden, sobald eine höhere Genauigkeit in der Betrugserkennung erreicht werden soll. Der Einsatz moderner Datenbank-Lösungen und KI gestützter Cloud-Services ermöglicht höhere Schnelligkeit, Lernfähigkeit und Genauigkeit im Umgang mit potentiellen Betrugsfällen.]]>
Wed, 30 Jan 2019 15:22:49 GMT https://de.slideshare.net/slideshow/betrugserkennung-in-versicherungen-durch-machine-learning-und-predictive-analytics/129852716 ORBIQ@slideshare.net(ORBIQ) Betrugserkennung in Versicherungen durch Machine Learning und Predictive Analytics ORBIQ Laut des Gesamtverbandes der Deutschen Versicherungswirtschaft ist etwa 10% des Schadenaufwands deutscher Versicherer auf Betrugsfälle zurückzuführen.1 Alleine Schaden- und Unfallversicherer verlieren dadurch 4-5 Mrd. € pro Jahr. Tendenz steigend! Bekämpft wird diese Entwicklung zumeist manuell oder mithilfe veralteter Technologien. Effiziente Schadensregulierung und hohes Kundenserviceniveau können oftmals nicht gewährleistet werden, sobald eine höhere Genauigkeit in der Betrugserkennung erreicht werden soll. Der Einsatz moderner Datenbank-Lösungen und KI gestützter Cloud-Services ermöglicht höhere Schnelligkeit, Lernfähigkeit und Genauigkeit im Umgang mit potentiellen Betrugsfällen. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/predictivefraud-190130152249-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Laut des Gesamtverbandes der Deutschen Versicherungswirtschaft ist etwa 10% des Schadenaufwands deutscher Versicherer auf Betrugsfälle zurückzuführen.1 Alleine Schaden- und Unfallversicherer verlieren dadurch 4-5 Mrd. € pro Jahr. Tendenz steigend! Bekämpft wird diese Entwicklung zumeist manuell oder mithilfe veralteter Technologien. Effiziente Schadensregulierung und hohes Kundenserviceniveau können oftmals nicht gewährleistet werden, sobald eine höhere Genauigkeit in der Betrugserkennung erreicht werden soll. Der Einsatz moderner Datenbank-Lösungen und KI gestützter Cloud-Services ermöglicht höhere Schnelligkeit, Lernfähigkeit und Genauigkeit im Umgang mit potentiellen Betrugsfällen.
from APPANION
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Intelligente visuelle Qualitätskontrolle in der Fertigungsindustrie https://de.slideshare.net/slideshow/intelligente-visuelle-qualitaetskontrolle-in-der-fertigungsindustrie-129852713/129852713 intelligentequalitaetskontrolle-190130152248
Die Fertigungsindustrie verändert sich. Im Rahmen von Industrie 4.0 erlangen Flexibilität, modulare Produktionsanlagen und kürzere Fertigungszyklen deutlich höhere Relevanz. Visuelle Qualitätskontrolle ist eine entscheidende Querschnitts- und Differenzierungsfunktion im Wettbewerb. Aktuelle Systeme sind oftmals unflexibel und fehleranfällig, sobald sich Umweltbedingungen oder Produkteigenschaften minimal verändern. Künstliche Intelligenz (KI) kann durch maschinelles Lernen und visuelle Mustererkennung zu einer erheblichen Steigerung des Automatisierungsgrades und damit der Prozesseffizienz beitragen – auch in Bereichen, die aktuell noch stark manuell geprüft werden müssen.]]>

Die Fertigungsindustrie verändert sich. Im Rahmen von Industrie 4.0 erlangen Flexibilität, modulare Produktionsanlagen und kürzere Fertigungszyklen deutlich höhere Relevanz. Visuelle Qualitätskontrolle ist eine entscheidende Querschnitts- und Differenzierungsfunktion im Wettbewerb. Aktuelle Systeme sind oftmals unflexibel und fehleranfällig, sobald sich Umweltbedingungen oder Produkteigenschaften minimal verändern. Künstliche Intelligenz (KI) kann durch maschinelles Lernen und visuelle Mustererkennung zu einer erheblichen Steigerung des Automatisierungsgrades und damit der Prozesseffizienz beitragen – auch in Bereichen, die aktuell noch stark manuell geprüft werden müssen.]]>
Wed, 30 Jan 2019 15:22:48 GMT https://de.slideshare.net/slideshow/intelligente-visuelle-qualitaetskontrolle-in-der-fertigungsindustrie-129852713/129852713 ORBIQ@slideshare.net(ORBIQ) Intelligente visuelle Qualitätskontrolle in der Fertigungsindustrie ORBIQ Die Fertigungsindustrie verändert sich. Im Rahmen von Industrie 4.0 erlangen Flexibilität, modulare Produktionsanlagen und kürzere Fertigungszyklen deutlich höhere Relevanz. Visuelle Qualitätskontrolle ist eine entscheidende Querschnitts- und Differenzierungsfunktion im Wettbewerb. Aktuelle Systeme sind oftmals unflexibel und fehleranfällig, sobald sich Umweltbedingungen oder Produkteigenschaften minimal verändern. Künstliche Intelligenz (KI) kann durch maschinelles Lernen und visuelle Mustererkennung zu einer erheblichen Steigerung des Automatisierungsgrades und damit der Prozesseffizienz beitragen – auch in Bereichen, die aktuell noch stark manuell geprüft werden müssen. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/intelligentequalitaetskontrolle-190130152248-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Die Fertigungsindustrie verändert sich. Im Rahmen von Industrie 4.0 erlangen Flexibilität, modulare Produktionsanlagen und kürzere Fertigungszyklen deutlich höhere Relevanz. Visuelle Qualitätskontrolle ist eine entscheidende Querschnitts- und Differenzierungsfunktion im Wettbewerb. Aktuelle Systeme sind oftmals unflexibel und fehleranfällig, sobald sich Umweltbedingungen oder Produkteigenschaften minimal verändern. Künstliche Intelligenz (KI) kann durch maschinelles Lernen und visuelle Mustererkennung zu einer erheblichen Steigerung des Automatisierungsgrades und damit der Prozesseffizienz beitragen – auch in Bereichen, die aktuell noch stark manuell geprüft werden müssen.
from APPANION
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Commercialization of AI 3.0 /slideshow/commercialization-of-ai-30-129852362/129852362 commercializationai-190130152010
Artificial Intelligence is trendy. Every event, every strategy meeting and every consulting firm talks about it. This whitepaper aims to separate actual facts and important background information from the overarching marketing buzz. You will get a short but information-rich wrap up about: What causes the current hype? Where are we today? What are the innovation leaders doing with AI? And what are immediate action points to focus on by applying artificial intelligence to your business?]]>

Artificial Intelligence is trendy. Every event, every strategy meeting and every consulting firm talks about it. This whitepaper aims to separate actual facts and important background information from the overarching marketing buzz. You will get a short but information-rich wrap up about: What causes the current hype? Where are we today? What are the innovation leaders doing with AI? And what are immediate action points to focus on by applying artificial intelligence to your business?]]>
Wed, 30 Jan 2019 15:20:10 GMT /slideshow/commercialization-of-ai-30-129852362/129852362 ORBIQ@slideshare.net(ORBIQ) Commercialization of AI 3.0 ORBIQ Artificial Intelligence is trendy. Every event, every strategy meeting and every consulting firm talks about it. This whitepaper aims to separate actual facts and important background information from the overarching marketing buzz. You will get a short but information-rich wrap up about: What causes the current hype? Where are we today? What are the innovation leaders doing with AI? And what are immediate action points to focus on by applying artificial intelligence to your business? <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/commercializationai-190130152010-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Artificial Intelligence is trendy. Every event, every strategy meeting and every consulting firm talks about it. This whitepaper aims to separate actual facts and important background information from the overarching marketing buzz. You will get a short but information-rich wrap up about: What causes the current hype? Where are we today? What are the innovation leaders doing with AI? And what are immediate action points to focus on by applying artificial intelligence to your business?
Commercialization of AI 3.0 from APPANION
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Understanding Artificial Intelligence - Major concepts for enterprise applications /slideshow/understanding-artificial-intelligence-major-concepts-for-enterprise-applications-129852142/129852142 understandingai-190130151810
Artificial Intelligence is a fundamental topic – for us as humans, as a society but also for businesses. For business executives and decision-makers, it is sometimes hard to keep up with rapidly evolving technologies as part of the day-to-day business. By providing this curated compilation of information about the fundamental aspects of AI, we want to captivate and inspire you to become more involved with the technology by better understanding the underlying concepts and value drivers of this technology]]>

Artificial Intelligence is a fundamental topic – for us as humans, as a society but also for businesses. For business executives and decision-makers, it is sometimes hard to keep up with rapidly evolving technologies as part of the day-to-day business. By providing this curated compilation of information about the fundamental aspects of AI, we want to captivate and inspire you to become more involved with the technology by better understanding the underlying concepts and value drivers of this technology]]>
Wed, 30 Jan 2019 15:18:10 GMT /slideshow/understanding-artificial-intelligence-major-concepts-for-enterprise-applications-129852142/129852142 ORBIQ@slideshare.net(ORBIQ) Understanding Artificial Intelligence - Major concepts for enterprise applications ORBIQ Artificial Intelligence is a fundamental topic – for us as humans, as a society but also for businesses. For business executives and decision-makers, it is sometimes hard to keep up with rapidly evolving technologies as part of the day-to-day business. By providing this curated compilation of information about the fundamental aspects of AI, we want to captivate and inspire you to become more involved with the technology by better understanding the underlying concepts and value drivers of this technology <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/understandingai-190130151810-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Artificial Intelligence is a fundamental topic – for us as humans, as a society but also for businesses. For business executives and decision-makers, it is sometimes hard to keep up with rapidly evolving technologies as part of the day-to-day business. By providing this curated compilation of information about the fundamental aspects of AI, we want to captivate and inspire you to become more involved with the technology by better understanding the underlying concepts and value drivers of this technology
Understanding Artificial Intelligence - Major concepts for enterprise applications from APPANION
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AI in Business - Key drivers and future value /slideshow/ai-in-business-key-drivers-and-future-value-129851892/129851892 aiinbusiness-190130151555
Artificial Intelligence is undoubtedly a hyped topic at the moment. But what is the reasoning for investors and digital platform players to bet very large amounts of money on this technology right now? To better understand the current market dynamics and to give an overview of renown predictions for the upcoming 2-3 years, we compiled a practical overview of this topic. This report covers the major driving forces of AI, assumptions for the future from the industry thought leaders as well as practical advice on how to start AI projects within your company.]]>

Artificial Intelligence is undoubtedly a hyped topic at the moment. But what is the reasoning for investors and digital platform players to bet very large amounts of money on this technology right now? To better understand the current market dynamics and to give an overview of renown predictions for the upcoming 2-3 years, we compiled a practical overview of this topic. This report covers the major driving forces of AI, assumptions for the future from the industry thought leaders as well as practical advice on how to start AI projects within your company.]]>
Wed, 30 Jan 2019 15:15:55 GMT /slideshow/ai-in-business-key-drivers-and-future-value-129851892/129851892 ORBIQ@slideshare.net(ORBIQ) AI in Business - Key drivers and future value ORBIQ Artificial Intelligence is undoubtedly a hyped topic at the moment. But what is the reasoning for investors and digital platform players to bet very large amounts of money on this technology right now? To better understand the current market dynamics and to give an overview of renown predictions for the upcoming 2-3 years, we compiled a practical overview of this topic. This report covers the major driving forces of AI, assumptions for the future from the industry thought leaders as well as practical advice on how to start AI projects within your company. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/aiinbusiness-190130151555-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Artificial Intelligence is undoubtedly a hyped topic at the moment. But what is the reasoning for investors and digital platform players to bet very large amounts of money on this technology right now? To better understand the current market dynamics and to give an overview of renown predictions for the upcoming 2-3 years, we compiled a practical overview of this topic. This report covers the major driving forces of AI, assumptions for the future from the industry thought leaders as well as practical advice on how to start AI projects within your company.
AI in Business - Key drivers and future value from APPANION
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Top 10 Technology Predictions - Future Outlook for AI and DLT /slideshow/top-10-technology-predictions-future-outlook-for-ai-and-dlt-129851451/129851451 techpredictions-190130151204
Artificial Intelligence and Distributed Ledger Technology are the current hot topics on the innovation agenda. In our future outlook for 2019 and beyond, we made 10 bold predictions for the upcoming development of these two key technologies.]]>

Artificial Intelligence and Distributed Ledger Technology are the current hot topics on the innovation agenda. In our future outlook for 2019 and beyond, we made 10 bold predictions for the upcoming development of these two key technologies.]]>
Wed, 30 Jan 2019 15:12:04 GMT /slideshow/top-10-technology-predictions-future-outlook-for-ai-and-dlt-129851451/129851451 ORBIQ@slideshare.net(ORBIQ) Top 10 Technology Predictions - Future Outlook for AI and DLT ORBIQ Artificial Intelligence and Distributed Ledger Technology are the current hot topics on the innovation agenda. In our future outlook for 2019 and beyond, we made 10 bold predictions for the upcoming development of these two key technologies. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/techpredictions-190130151204-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Artificial Intelligence and Distributed Ledger Technology are the current hot topics on the innovation agenda. In our future outlook for 2019 and beyond, we made 10 bold predictions for the upcoming development of these two key technologies.
Top 10 Technology Predictions - Future Outlook for AI and DLT from APPANION
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https://cdn.slidesharecdn.com/profile-photo-ORBIQ-48x48.jpg?cb=1554888777 At Appanion, we develop strategies, prototypes and tangible action plans to work successfully with emerging key technologies such as artificial intelligence. www.appanion.com https://cdn.slidesharecdn.com/ss_thumbnails/appanionmeetup-190207191019-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/the-impact-of-ai-use-cases-on-the-german-economy/130906753 The Impact of AI Use C... https://cdn.slidesharecdn.com/ss_thumbnails/predictivefraud-190130152249-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/betrugserkennung-in-versicherungen-durch-machine-learning-und-predictive-analytics/129852716 Betrugserkennung in Ve... https://cdn.slidesharecdn.com/ss_thumbnails/intelligentequalitaetskontrolle-190130152248-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/intelligente-visuelle-qualitaetskontrolle-in-der-fertigungsindustrie-129852713/129852713 Intelligente visuelle ...