Big Data and Robotics
•Download as PPTX, PDF•
1 like•163 views
Robotics relies on collecting and analyzing large amounts of data from sensors to perceive environments, plan actions, and achieve goals. The combination of robotics and big data, through technologies like the Internet of Things, enables more accurate predictive maintenance and market strategies by synthesizing data from various sources to make real decisions. Smart predictive maintenance uses big data to send signals to robots when self-configuration is needed to ensure accurate calibration.
Report
Share
Report
Share
Recommended
IoT Smart Cities Presentation
This business seminar focuses on the objective of understanding Iot Smart Cities. Especially concerning opportunities, challenges, risks, strengths, threats, macroeconomic factors, market consolidation and maturation and more. Relevant for students and professionals interested in the IoT sector.
From Info Science to Data Science & Smart Nation
The keynote speech discusses the evolution from information science to data science and how this progression enables Singapore's vision of becoming a smart nation. It outlines how exponential growth in data and new technologies led to the birth of data science. Data science faces challenges regarding data size, computation limits, and ensuring privacy. The speech envisions how data analytics can help address Singapore's challenges like aging population and urban density through transformations in healthcare, transport, living and business enabled by a national smart nation platform.
Talk on Industrial Internet of Things @ Intelligent systems tech forum 2014
The Industrial Internet can be thought of as Intelligent Industrial Systems. A subset of Intelligent Systems per IDC’s taxonomy, these systems have extremely high value not just in terms of product and process optimizations, efficiency and cost savings but in the enablement of new business models such as mass customization in manufacturing. This session will focus on the state of Industrial Internet today, the efforts underway to make the Industrial Internet a reality, leading companies, technologies and products in the space, efforts at standardization, case studies of the Industrial Internet in action, and opportunities in the space.
IoT for a Better World by Syam Madanapalli
Internet of Things is not a new thing, we have been doing this for centuries. An example is time. Time (in simplest terms) represent the state of the Earth giving its position in the solar system.
The time evolved from observation (sundial), measurement, use of electricity and use of the Internet (Apple watch) and created use huge device business, caused the industrial revolution and advanced the civilization.
Given the advancement in the technology, IoT can bring hundreds if not thousands of state information on the Earth to the people and businesses. This would cause the next industrial revolution and potentially advances the civilization in short time. This makes IoT either a threat or a cash cow for businesses.
This presentation is my keynote at the Keysight Technologies KMI 2015.
Urban IoT for Smart Cities: New Pathways to Business and Location Intelligenc...
Presentation to Location Intelligence 2014 on 20 May 2014, during Opening Plenary/LI Vision Panel:" Location Analytics & Visual Data Discovery … New Pathways to Business Intelligence" My presentation identifies how rich location information is vital to the success of smart cities. Topics addressed included benefits for location infrastructure in Smart Cities. Spatial architecture from geospatial, infrastructure, buildings - indoor, outdoor and urban settings. OGC Smart Cities Testbed as convergence of many technologies to meet the needs of urban citizens and services.
http://www.locationintelligence.net/dc/agenda/
Innovating the Smart Cities
The document discusses building smart cities by defining everything as a service. It proposes a framework where autonomous services expose their state through attributes and applications are built through various use cases combining multiple services. This allows innovation at both the services and application levels. It outlines how cities can obtain data from new sensors, existing sources, and analytics to provide visibility and enable data-driven decision making. Democratizing data and standardizing interfaces can foster an open smart city platform involving government and the private sector.
Data Analytics for IoT
This document discusses analytics for IoT and making sense of data from sensors. It first provides an overview of Innohabit Technologies' vision and products related to contextual intelligence platforms, machine learning analytics, and predictive network health analytics. It then discusses how analytics can help make sense of the endless sea of data from IoT sensors, highlighting key applications of analytics in areas like industrial IoT, smart retail, autonomous vehicles, and more. The benefits of analytics adoption in industrial IoT contexts include optimized asset maintenance, production operations, supply chain management, and more.
When IoT Meets Artificial Intelligence
1) When IoT meets AI, devices are becoming widely available and connected due to reduced costs and improved connectivity and cloud services, driving interest in IoT.
2) API economies and big data analytics are major drivers of profit, connecting sensor data with cloud logic. Intelligence can be located in sensors, gateways, the cloud, or a combination.
3) The presenter argues that the standard IoT reference model is suboptimal and that a technology is needed to blend event-based and query-based data processing in real-time. A rule engine and Bayesian inference could help address challenges in combining physical and API-sourced data.
Recommended
IoT Smart Cities Presentation
This business seminar focuses on the objective of understanding Iot Smart Cities. Especially concerning opportunities, challenges, risks, strengths, threats, macroeconomic factors, market consolidation and maturation and more. Relevant for students and professionals interested in the IoT sector.
From Info Science to Data Science & Smart Nation
The keynote speech discusses the evolution from information science to data science and how this progression enables Singapore's vision of becoming a smart nation. It outlines how exponential growth in data and new technologies led to the birth of data science. Data science faces challenges regarding data size, computation limits, and ensuring privacy. The speech envisions how data analytics can help address Singapore's challenges like aging population and urban density through transformations in healthcare, transport, living and business enabled by a national smart nation platform.
Talk on Industrial Internet of Things @ Intelligent systems tech forum 2014
The Industrial Internet can be thought of as Intelligent Industrial Systems. A subset of Intelligent Systems per IDC’s taxonomy, these systems have extremely high value not just in terms of product and process optimizations, efficiency and cost savings but in the enablement of new business models such as mass customization in manufacturing. This session will focus on the state of Industrial Internet today, the efforts underway to make the Industrial Internet a reality, leading companies, technologies and products in the space, efforts at standardization, case studies of the Industrial Internet in action, and opportunities in the space.
IoT for a Better World by Syam Madanapalli
Internet of Things is not a new thing, we have been doing this for centuries. An example is time. Time (in simplest terms) represent the state of the Earth giving its position in the solar system.
The time evolved from observation (sundial), measurement, use of electricity and use of the Internet (Apple watch) and created use huge device business, caused the industrial revolution and advanced the civilization.
Given the advancement in the technology, IoT can bring hundreds if not thousands of state information on the Earth to the people and businesses. This would cause the next industrial revolution and potentially advances the civilization in short time. This makes IoT either a threat or a cash cow for businesses.
This presentation is my keynote at the Keysight Technologies KMI 2015.
Urban IoT for Smart Cities: New Pathways to Business and Location Intelligenc...
Presentation to Location Intelligence 2014 on 20 May 2014, during Opening Plenary/LI Vision Panel:" Location Analytics & Visual Data Discovery … New Pathways to Business Intelligence" My presentation identifies how rich location information is vital to the success of smart cities. Topics addressed included benefits for location infrastructure in Smart Cities. Spatial architecture from geospatial, infrastructure, buildings - indoor, outdoor and urban settings. OGC Smart Cities Testbed as convergence of many technologies to meet the needs of urban citizens and services.
http://www.locationintelligence.net/dc/agenda/
Innovating the Smart Cities
The document discusses building smart cities by defining everything as a service. It proposes a framework where autonomous services expose their state through attributes and applications are built through various use cases combining multiple services. This allows innovation at both the services and application levels. It outlines how cities can obtain data from new sensors, existing sources, and analytics to provide visibility and enable data-driven decision making. Democratizing data and standardizing interfaces can foster an open smart city platform involving government and the private sector.
Data Analytics for IoT
This document discusses analytics for IoT and making sense of data from sensors. It first provides an overview of Innohabit Technologies' vision and products related to contextual intelligence platforms, machine learning analytics, and predictive network health analytics. It then discusses how analytics can help make sense of the endless sea of data from IoT sensors, highlighting key applications of analytics in areas like industrial IoT, smart retail, autonomous vehicles, and more. The benefits of analytics adoption in industrial IoT contexts include optimized asset maintenance, production operations, supply chain management, and more.
When IoT Meets Artificial Intelligence
1) When IoT meets AI, devices are becoming widely available and connected due to reduced costs and improved connectivity and cloud services, driving interest in IoT.
2) API economies and big data analytics are major drivers of profit, connecting sensor data with cloud logic. Intelligence can be located in sensors, gateways, the cloud, or a combination.
3) The presenter argues that the standard IoT reference model is suboptimal and that a technology is needed to blend event-based and query-based data processing in real-time. A rule engine and Bayesian inference could help address challenges in combining physical and API-sourced data.
Internet of things(Iot): Iot explained basic concepts:Iot applications
The Internet of things is a system of interrelated computing devices, mechanical and digital machines provided with unique identifiers and the ability to transfer data over a network without requiring human-to-human or human-to-computer interaction.
Sensor Technology for Smart Nation and Industry 4.0 by colin koh
Sensors play a critical role as they provide contextual data to the emerging IoT and Big Data application. The challenges remain in term of cost, reliability, accuracy and standardisation. Collaboration of all stakeholders is the key to ensure the sensors technology can meet and overcome the issues facing the users.
Iot and Smart Cities
This presentation provides an overview of IoT and smart cities. It defines IoT as physical objects connected to the internet that can collect and share data remotely without human interaction. IoT benefits include reduced costs, improved efficiency, new revenue streams, and innovative products. The presentation discusses common IoT connection technologies like Wi-Fi, barcodes, and ZigBee. It also outlines why smart cities are becoming a focus, with billions being invested annually and many major technology companies selling solutions. Key components of smart cities are said to include broadband, data applications, sustainability, equity, governance, and more.
IoT & Smart Cities China Telecom
China Telecom provides an overview of smart cities and its role in enabling them. Key points include:
1) China Telecom has extensive network infrastructure and customer base in China that provides a strong foundation for supporting smart city initiatives.
2) A smart city utilizes internet of things technologies like sensors and networks connected to platforms and applications to improve areas like transportation, healthcare, logistics and more.
3) China Telecom sees opportunities to partner with governments and vendors to provide smart city services and solutions leveraging its networks, experience and resources. Collaboration is important for realizing smart city goals.
The Impact of IoT on Cloud Computing, Big Data & Analytics
IoT Applications are different from typical enterprise applications; and most of the companies are hijacking what the IoT is depending on the what products/solutions they offer. I put up my point of view on how the IoT impacts the traditional Cloud Computing and Big Data Analytics. The takeaway from this presentation is IoT requires realtime computing as the data moves from the physical world to the cyber world (Cloud) to take actions at spatiotemporal location.
IoT & Smart City
The presentation discusses the Internet of Things (IoT) and its applications in smart cities. IoT involves connecting physical devices with sensors to the internet, allowing them to collect and share data. This enables applications across various industries like manufacturing, transportation, healthcare and more. Some key benefits of IoT include improved communication, automation, cost savings and predictive analytics. Major challenges remain around data storage, security and privacy. The presentation predicts that by 2020 there will be over 24 billion connected IoT devices generating $13 trillion in economic value annually. Finally, it outlines how IoT can enable smart infrastructure around transportation, energy grids, homes and cities.
IoT Standards for Smart Nation
This document discusses standards for Singapore to become a smart nation. It outlines some of Singapore's challenges like an aging population and urban density that standards can help address. Standards are needed for different devices and systems to interoperate by covering areas like communications protocols, network protocols, data formats, and application programming interfaces. The document summarizes some standards that have been developed so far to enable smart applications in areas like transportation, health, and living. It emphasizes that collective efforts are needed to develop and ensure compliance with standards to truly build an interoperable and open smart nation.
Role of IOT devices and servcies in the development of smart cities.
The document discusses the role of Internet of Things (IoT) technologies and devices in developing smart cities. It defines key concepts like smart city and IoT. The objective is to study the capabilities of existing IoT devices and services to meet the needs of smart cities. The methodology examines popular IoT devices, technologies, networks and cloud services. It also outlines prototype projects and predictions about IoT growth and impact.
Internet of Things for Smart Cities
This document discusses using the Internet of Things (IoT) for smart cities. It describes how objects will be equipped with sensors and communication capabilities to connect to the Internet and each other. This allows for various smart city services like structural health monitoring of buildings, waste management, and traffic monitoring. Current trends show IoT evolving from wireless sensor networks and test beds providing valuable insights. However, challenges remain around architecture, security, standardization, and data analytics to fully realize an interoperable smart city IoT platform. The author is interested in collecting and analyzing sensor data on topics like air quality, noise levels, and enabling intelligent transportation systems through vehicular clouds.
Internet of Things and Big Data: Vision and Concrete Use Cases
This document discusses Internet of Things (IoT) and big data. It provides an overview of key concepts in IoT such as the growing number of connected devices, drivers in the IoT ecosystem including enterprises and users, and examples of IoT applications from Bosch Group. It also discusses how big data and evolving data models are driving new requirements for databases including scalability, flexibility, support for analytics, and providing a unified view of data. The document promotes an upcoming webinar series on IoT and big data.
Internet of Things and Smart Cities
This document discusses Internet of Things (IoT) and smart cities. It defines IoT as interconnected devices that can communicate with each other to achieve common goals. It also defines smart cities as using information and communication technologies to integrate core systems and respond intelligently to various needs. The document outlines technologies used in IoT like RFID and sensors. It describes smart city components like smart communities, smart homes and smart grids. It discusses challenges of IoT like security and privacy and of smart cities like investment and interoperability. It concludes that IoT and smart cities are related areas with opportunities for innovation but also challenges to address.
L21 Big Data and Analytics
Thank you for the summary. I do not actually have an opinion on whether games or gamification are good or bad. I'm an AI assistant created by Anthropic to be helpful, harmless, and honest.
Presentation1
The document discusses the Internet of Things (IoT) and smart cities. It defines IoT as physical objects embedded with sensors that can collect and exchange data over the internet. Examples include smart devices, cars, and home appliances. IoT is expected to generate large amounts of data that needs to be indexed, stored, and processed for business intelligence. The document also discusses smart city initiatives in various cities around the world like New York City, and partnerships between cities to share best practices. It analyzes the strengths, weaknesses, opportunities and threats of implementing IoT and smart technologies more broadly.
Smart Cities in the AI Era
How artificial intelligence will power the infrastructure of smart cities, from traffic flow to public safety.
Cisco Bas Boorsma
1) By 2020, 75% of businesses will become fully digital but only 30% of digitization efforts will be successful. Also, 40% of enterprises may no longer exist in 10 years if they do not disrupt or get disrupted.
2) The rise of the Internet of Everything will have 5-10x the impact of the internet to date, connecting people, processes, data and things. This will require transforming core processes, new skill sets, partners, business models and products/services.
3) Security challenges are immense with the digitization of everything, as 60% of business leaders are reluctant to innovate due to cyber risks, and the global cybercrime market is estimated at $450 billion to $
101 Internet of Things
A quick fire guide Internet of Things. If you’d like to know more get in touch with us on 01202 779944 or visit our website www.redweb.com
iot-and-smart-cities-lea-blackstock
Cloud based Smart City hubs are an attractive approach to addressing some of the complex issues faced when deploying PaaS infrastructure for Smart Cities. In this paper we introduce the general notion of IoT hubs and then discusses our work to generalize our IoT hub as a Smart City PaaS. Two key issues are identified, support for hybrid public/private cloud and interoperability. We briefly describe our approach to these issues and discuss our experiences deploying two cloud-based Smart City hubs, one in the UK and the other in Canada.
IoT soup!
"IoT and Smart City, Communications Layer of them, and a little about some lessons learned"
October 2016, University of Tehran
Internet of Things
In this presentation, Vinay introduces IoT and associated trends. His interests lie in "Big Data" that IoT devices generate.
BetaGroup - Tech Trends in 2017, a snap shot by BetaGroup
The document discusses 13 emerging technology trends for the next few years: 1) Artificial Intelligence and Machine Learning, 2) Intelligent Apps, 3) Intelligent Things, 4) Virtual and Augmented Reality, 5) Digital Twins, 6) Blockchain, 7) Conversational Systems, 8) Digital Technology Platforms, 9) Adaptive Security Architecture, 10) Mesh App & Service Architecture, 11) Humanized Big Data, 12) Physical Digital Integrations, and 13) Everything on Demand. Each trend is briefly described and examples are provided. The document cautions that accurately predicting technology's future is difficult due to potential surprises.
Artificial intelligence of things(AIoT): What is AIoT: AIoT applications
AIoT(Artificial intelligence of things) is a relatively new term and has recently become a hot topic which combines two of the hottest acronyms AI( Artificial intelligence) and Internet of things (IoT)
Internet of things (IOT) connects physical to digital
1) The document discusses the topic of Internet of Things (IoT). It defines IoT as a network of physical objects embedded with sensors that can collect and exchange data.
2) The document outlines some key characteristics of IoT including connectivity, data collection, communication, intelligence, and action. It also discusses how IoT works by collecting data via sensors, communicating data through networks, analyzing the data, and taking action.
3) Several potential research topics in IoT are proposed, including applying deep learning for intrusion detection in IoT networks, finding dead zones in large IoT networks, and developing governance models for machine learning algorithms within IoT.
More Related Content
What's hot
Internet of things(Iot): Iot explained basic concepts:Iot applications
The Internet of things is a system of interrelated computing devices, mechanical and digital machines provided with unique identifiers and the ability to transfer data over a network without requiring human-to-human or human-to-computer interaction.
Sensor Technology for Smart Nation and Industry 4.0 by colin koh
Sensors play a critical role as they provide contextual data to the emerging IoT and Big Data application. The challenges remain in term of cost, reliability, accuracy and standardisation. Collaboration of all stakeholders is the key to ensure the sensors technology can meet and overcome the issues facing the users.
Iot and Smart Cities
This presentation provides an overview of IoT and smart cities. It defines IoT as physical objects connected to the internet that can collect and share data remotely without human interaction. IoT benefits include reduced costs, improved efficiency, new revenue streams, and innovative products. The presentation discusses common IoT connection technologies like Wi-Fi, barcodes, and ZigBee. It also outlines why smart cities are becoming a focus, with billions being invested annually and many major technology companies selling solutions. Key components of smart cities are said to include broadband, data applications, sustainability, equity, governance, and more.
IoT & Smart Cities China Telecom
China Telecom provides an overview of smart cities and its role in enabling them. Key points include:
1) China Telecom has extensive network infrastructure and customer base in China that provides a strong foundation for supporting smart city initiatives.
2) A smart city utilizes internet of things technologies like sensors and networks connected to platforms and applications to improve areas like transportation, healthcare, logistics and more.
3) China Telecom sees opportunities to partner with governments and vendors to provide smart city services and solutions leveraging its networks, experience and resources. Collaboration is important for realizing smart city goals.
The Impact of IoT on Cloud Computing, Big Data & Analytics
IoT Applications are different from typical enterprise applications; and most of the companies are hijacking what the IoT is depending on the what products/solutions they offer. I put up my point of view on how the IoT impacts the traditional Cloud Computing and Big Data Analytics. The takeaway from this presentation is IoT requires realtime computing as the data moves from the physical world to the cyber world (Cloud) to take actions at spatiotemporal location.
IoT & Smart City
The presentation discusses the Internet of Things (IoT) and its applications in smart cities. IoT involves connecting physical devices with sensors to the internet, allowing them to collect and share data. This enables applications across various industries like manufacturing, transportation, healthcare and more. Some key benefits of IoT include improved communication, automation, cost savings and predictive analytics. Major challenges remain around data storage, security and privacy. The presentation predicts that by 2020 there will be over 24 billion connected IoT devices generating $13 trillion in economic value annually. Finally, it outlines how IoT can enable smart infrastructure around transportation, energy grids, homes and cities.
IoT Standards for Smart Nation
This document discusses standards for Singapore to become a smart nation. It outlines some of Singapore's challenges like an aging population and urban density that standards can help address. Standards are needed for different devices and systems to interoperate by covering areas like communications protocols, network protocols, data formats, and application programming interfaces. The document summarizes some standards that have been developed so far to enable smart applications in areas like transportation, health, and living. It emphasizes that collective efforts are needed to develop and ensure compliance with standards to truly build an interoperable and open smart nation.
Role of IOT devices and servcies in the development of smart cities.
The document discusses the role of Internet of Things (IoT) technologies and devices in developing smart cities. It defines key concepts like smart city and IoT. The objective is to study the capabilities of existing IoT devices and services to meet the needs of smart cities. The methodology examines popular IoT devices, technologies, networks and cloud services. It also outlines prototype projects and predictions about IoT growth and impact.
Internet of Things for Smart Cities
This document discusses using the Internet of Things (IoT) for smart cities. It describes how objects will be equipped with sensors and communication capabilities to connect to the Internet and each other. This allows for various smart city services like structural health monitoring of buildings, waste management, and traffic monitoring. Current trends show IoT evolving from wireless sensor networks and test beds providing valuable insights. However, challenges remain around architecture, security, standardization, and data analytics to fully realize an interoperable smart city IoT platform. The author is interested in collecting and analyzing sensor data on topics like air quality, noise levels, and enabling intelligent transportation systems through vehicular clouds.
Internet of Things and Big Data: Vision and Concrete Use Cases
This document discusses Internet of Things (IoT) and big data. It provides an overview of key concepts in IoT such as the growing number of connected devices, drivers in the IoT ecosystem including enterprises and users, and examples of IoT applications from Bosch Group. It also discusses how big data and evolving data models are driving new requirements for databases including scalability, flexibility, support for analytics, and providing a unified view of data. The document promotes an upcoming webinar series on IoT and big data.
Internet of Things and Smart Cities
This document discusses Internet of Things (IoT) and smart cities. It defines IoT as interconnected devices that can communicate with each other to achieve common goals. It also defines smart cities as using information and communication technologies to integrate core systems and respond intelligently to various needs. The document outlines technologies used in IoT like RFID and sensors. It describes smart city components like smart communities, smart homes and smart grids. It discusses challenges of IoT like security and privacy and of smart cities like investment and interoperability. It concludes that IoT and smart cities are related areas with opportunities for innovation but also challenges to address.
L21 Big Data and Analytics
Thank you for the summary. I do not actually have an opinion on whether games or gamification are good or bad. I'm an AI assistant created by Anthropic to be helpful, harmless, and honest.
Presentation1
The document discusses the Internet of Things (IoT) and smart cities. It defines IoT as physical objects embedded with sensors that can collect and exchange data over the internet. Examples include smart devices, cars, and home appliances. IoT is expected to generate large amounts of data that needs to be indexed, stored, and processed for business intelligence. The document also discusses smart city initiatives in various cities around the world like New York City, and partnerships between cities to share best practices. It analyzes the strengths, weaknesses, opportunities and threats of implementing IoT and smart technologies more broadly.
Smart Cities in the AI Era
How artificial intelligence will power the infrastructure of smart cities, from traffic flow to public safety.
Cisco Bas Boorsma
1) By 2020, 75% of businesses will become fully digital but only 30% of digitization efforts will be successful. Also, 40% of enterprises may no longer exist in 10 years if they do not disrupt or get disrupted.
2) The rise of the Internet of Everything will have 5-10x the impact of the internet to date, connecting people, processes, data and things. This will require transforming core processes, new skill sets, partners, business models and products/services.
3) Security challenges are immense with the digitization of everything, as 60% of business leaders are reluctant to innovate due to cyber risks, and the global cybercrime market is estimated at $450 billion to $
101 Internet of Things
A quick fire guide Internet of Things. If you’d like to know more get in touch with us on 01202 779944 or visit our website www.redweb.com
iot-and-smart-cities-lea-blackstock
Cloud based Smart City hubs are an attractive approach to addressing some of the complex issues faced when deploying PaaS infrastructure for Smart Cities. In this paper we introduce the general notion of IoT hubs and then discusses our work to generalize our IoT hub as a Smart City PaaS. Two key issues are identified, support for hybrid public/private cloud and interoperability. We briefly describe our approach to these issues and discuss our experiences deploying two cloud-based Smart City hubs, one in the UK and the other in Canada.
IoT soup!
"IoT and Smart City, Communications Layer of them, and a little about some lessons learned"
October 2016, University of Tehran
Internet of Things
In this presentation, Vinay introduces IoT and associated trends. His interests lie in "Big Data" that IoT devices generate.
BetaGroup - Tech Trends in 2017, a snap shot by BetaGroup
The document discusses 13 emerging technology trends for the next few years: 1) Artificial Intelligence and Machine Learning, 2) Intelligent Apps, 3) Intelligent Things, 4) Virtual and Augmented Reality, 5) Digital Twins, 6) Blockchain, 7) Conversational Systems, 8) Digital Technology Platforms, 9) Adaptive Security Architecture, 10) Mesh App & Service Architecture, 11) Humanized Big Data, 12) Physical Digital Integrations, and 13) Everything on Demand. Each trend is briefly described and examples are provided. The document cautions that accurately predicting technology's future is difficult due to potential surprises.
What's hot (20)
Internet of things(Iot): Iot explained basic concepts:Iot applications
Internet of things(Iot): Iot explained basic concepts:Iot applications
Sensor Technology for Smart Nation and Industry 4.0 by colin koh
Sensor Technology for Smart Nation and Industry 4.0 by colin koh
The Impact of IoT on Cloud Computing, Big Data & Analytics
The Impact of IoT on Cloud Computing, Big Data & Analytics
Role of IOT devices and servcies in the development of smart cities.
Role of IOT devices and servcies in the development of smart cities.
Internet of Things and Big Data: Vision and Concrete Use Cases
Internet of Things and Big Data: Vision and Concrete Use Cases
BetaGroup - Tech Trends in 2017, a snap shot by BetaGroup
BetaGroup - Tech Trends in 2017, a snap shot by BetaGroup
Similar to Big Data and Robotics
Artificial intelligence of things(AIoT): What is AIoT: AIoT applications
AIoT(Artificial intelligence of things) is a relatively new term and has recently become a hot topic which combines two of the hottest acronyms AI( Artificial intelligence) and Internet of things (IoT)
Internet of things (IOT) connects physical to digital
1) The document discusses the topic of Internet of Things (IoT). It defines IoT as a network of physical objects embedded with sensors that can collect and exchange data.
2) The document outlines some key characteristics of IoT including connectivity, data collection, communication, intelligence, and action. It also discusses how IoT works by collecting data via sensors, communicating data through networks, analyzing the data, and taking action.
3) Several potential research topics in IoT are proposed, including applying deep learning for intrusion detection in IoT networks, finding dead zones in large IoT networks, and developing governance models for machine learning algorithms within IoT.
Cognitive IoT Whitepaper_Dec 2015
This document discusses how cognitive computing can help realize the full potential of the Internet of Things (IoT). It notes that while early IoT applications are providing value, the vast majority of data generated by IoT devices is currently unused. Cognitive systems that can learn from large amounts of structured and unstructured data have the potential to extract much more insights from IoT data and enable more advanced IoT applications. The document outlines some key foundations for a successful IoT strategy and argues that cognitive systems like IBM's Watson platform can help address the data challenges of IoT by facilitating deeper human engagement, continuous learning, predictive capabilities, knowledge sharing and optimization of complex systems.
Detecon Trend Report - Robotics
In recent years, advancements in sensor and automation technologies have developed increasingly flexible, accurate, and affordable robotics solutions.
With the improved price / performance ratio, the adoption of next-generation robots will likely intensify in the coming years.
Detecon Trend Report Robotics
Robotics is rapidly transforming the way humans live and work, and will continue to grow due to the ongoing trend toward automation and continued innovative technical improvements in industrial robots. This report summarizes some important trends. It is an excerpt of our Detecon Radar.
Semantic Computing will make the Internet of Things 2
Semantic computing will help unlock the full potential of data collected by internet-connected devices by adding context and meaning. It can process both structured and unstructured data from a variety of sources to provide quicker analysis. This will allow organizations to gain deeper customer insights, access more complete information for decision making, better predict outcomes, continuously improve products/services, and extend specialist expertise. By utilizing semantic computing to analyze data from internet-connected devices more effectively, organizations can realize greater value from their internet of things implementations.
Internet of Robotic Things
power point to the peoples who are interesting in the internet of things and specific the internet of robotic things
Unit 3 - Internet of Things - www.rgpvnotes.in.pdf
The document requests that study notes not be shared on messaging apps like WhatsApp or Telegram, as the organization generates revenue from ads on its website and app. This revenue funds new study materials and improves existing ones. If people do not use the website and app directly, it hurts the organization's revenue and may force it to close down services. It humbly requests that people stop sharing study materials on other apps and instead share the website URL.
IoT and Smart Cities
This presentation highlights the definition of IoT, various applications of IoT, the Role of IoT in building smart cities, and the challenges and opportunities of Implementing IoT for smart cities.
Internet of things
The document discusses the topic of the Internet of Things (IoT). It defines IoT as connecting devices to the internet to allow them to interact, collaborate and share data. It provides examples of IoT applications in various domains like smart homes, healthcare, smart cities, agriculture and industrial automation. The document also outlines some of the benefits of IoT for businesses, the large scope and growth potential of IoT, and some challenges and criticisms regarding privacy, security and lack of standards.
Session 8 IoT and Metaverse.pptx
The document provides an introduction to the Internet of Things (IoT). It defines IoT as a system of interrelated computing devices that can collect and transfer data over a network without human interaction. An IoT ecosystem consists of web-enabled smart devices that use sensors and communication hardware to collect and share data. It is estimated that IoT will have a $11.1 trillion economic impact by 2025 and the number of connected devices will grow to 125 billion by 2030. IoT offers benefits like improved monitoring, customer experience, productivity and decision making. However, key challenges include security, privacy, reliability and integrating legacy systems.
IoT.pptx
The document discusses the Internet of Things (IoT). It defines IoT as a system of interconnected computing devices, objects, and people that are provided with unique identifiers and can transfer data over a network. It describes how IoT works using technologies like sensors, communication capabilities, and data processing. It also outlines several applications of IoT such as smart homes, smart cities, industrial IoT, and more. Finally, it discusses some challenges of IoT including security, privacy, and reliability issues.
AI is the Catalyst of IoT
Businesses across the world are rapidly leveraging the Internet-of-Things (#IoT) to create new products and services that are opening up new business opportunities and creating new business models.
The resulting transformation is ushering in a new era of how companies run their operations and engage with customers. However, tapping into the IoT is only part of the story [6].
For companies to realize the full potential of IoT enablement, they need to combine IoT with rapidly-advancing Artificial Intelligence (#AI) technologies, which enable ‘smart machines’ to simulate intelligent behavior and make well-informed decisions with little or no human intervention [6].
AI as a Catalyst for IoT
Integrating AI into IoT networks is becoming a prerequisite for success in today’s data-driven digital ecosystems. The only way to keep up with IoT-generated data and gain the hidden insights it holds is using AI as the catalyst of IoT. Watch this slides to understand how IoT and AI may work together.
AI as a Catalyst for IoT
Integrating AI into IoT networks is becoming a prerequisite for success in today’s data-driven digital ecosystems. The only way to keep up with IoT-generated data and gain the hidden insights it holds is using AI as the catalyst of IoT. Join this webinar to understand how IoT and AI may work together.
¿Cómo puede ayudarlo Qlik a descubrir más valor en sus datos de IoT?
The document discusses the Internet of Things (IoT) ecosystem and how to extract value from IoT data. It describes how IoT data moves through different layers from devices to connectivity to operations to analytics. At each layer, data takes on different states like in motion, in use, or at rest. To create value from IoT data, it needs to be associated with other data sources and analyzed to gain insights. These insights then need to be shared and acted on. The document promotes Qlik's analytics tools for flexible, scalable analysis of IoT data that can integrate various data sources and enable innovation.
Dissection of the Internet of Things (IoT) Industry.pdf
The Internet of Things has become the most disruptive technology of the 21st century. The IoT industry was possible because of the progress in AI, Big Data & Cloud Computing.
AIoT
AIoT stands for AI+IoT, which refers to the integration of artificial intelligence technology and the Internet of Things in practical applications. At present, more and more industries and applications combine AI and IoT. AIoT has become the best channel for the intelligent upgrade of major traditional industries and an important direction for the development of the Internet of Things in the future.
A REVIEW PAPER ON “IOT” & FUTURE RESEARCH IN INTERNET APPLICATIONS
The document provides an overview of Internet of Things (IoT), including its definition, key challenges and applications. Some of the main points discussed include:
- IoT refers to the connection of physical devices, vehicles and other items embedded with sensors, software and network connectivity which enables these objects to collect and exchange data.
- Major challenges of IoT include networking issues, fragmentation due to different device standards, managing large amounts of data generated (big data), compatibility between different technologies, and security/privacy concerns.
- Applications of IoT discussed include wearable devices, healthcare monitoring, traffic management, fleet management, agriculture, hospitality, smart energy grids, water supply monitoring, and equipment maintenance.
-
Watson IoT - IBM
By bringing together the IoT with IBM Watson
™
cognitive computing
technologies, we’re infusing a new kind of thinking into objects,
systems and processes. Watson technology understands, reasons
and learns. It communicates in natural, human terms. It understands
context and nuance, enabling it to not only uncover new insights
but also unearth entirely new pathways to explore and possibilities
to imagine
Similar to Big Data and Robotics (20)
Artificial intelligence of things(AIoT): What is AIoT: AIoT applications
Artificial intelligence of things(AIoT): What is AIoT: AIoT applications
Internet of things (IOT) connects physical to digital
Internet of things (IOT) connects physical to digital
Semantic Computing will make the Internet of Things 2
Semantic Computing will make the Internet of Things 2
Unit 3 - Internet of Things - www.rgpvnotes.in.pdf
Unit 3 - Internet of Things - www.rgpvnotes.in.pdf
¿Cómo puede ayudarlo Qlik a descubrir más valor en sus datos de IoT?
¿Cómo puede ayudarlo Qlik a descubrir más valor en sus datos de IoT?
Dissection of the Internet of Things (IoT) Industry.pdf
Dissection of the Internet of Things (IoT) Industry.pdf
A REVIEW PAPER ON “IOT” & FUTURE RESEARCH IN INTERNET APPLICATIONS
A REVIEW PAPER ON “IOT” & FUTURE RESEARCH IN INTERNET APPLICATIONS
Recently uploaded
Ocean lotus Threat actors project by John Sitima 2024 (1).pptx
Ocean Lotus cyber threat actors represent a sophisticated, persistent, and politically motivated group that poses a significant risk to organizations and individuals in the Southeast Asian region. Their continuous evolution and adaptability underscore the need for robust cybersecurity measures and international cooperation to identify and mitigate the threats posed by such advanced persistent threat groups.
Introduction of Cybersecurity with OSS at Code Europe 2024
I develop the Ruby programming language, RubyGems, and Bundler, which are package managers for Ruby. Today, I will introduce how to enhance the security of your application using open-source software (OSS) examples from Ruby and RubyGems.
The first topic is CVE (Common Vulnerabilities and Exposures). I have published CVEs many times. But what exactly is a CVE? I'll provide a basic understanding of CVEs and explain how to detect and handle vulnerabilities in OSS.
Next, let's discuss package managers. Package managers play a critical role in the OSS ecosystem. I'll explain how to manage library dependencies in your application.
I'll share insights into how the Ruby and RubyGems core team works to keep our ecosystem safe. By the end of this talk, you'll have a better understanding of how to safeguard your code.
Operating System Used by Users in day-to-day life.pptx
Dive into the realm of operating systems (OS) with Pravash Chandra Das, a seasoned Digital Forensic Analyst, as your guide. 🚀 This comprehensive presentation illuminates the core concepts, types, and evolution of OS, essential for understanding modern computing landscapes.
Beginning with the foundational definition, Das clarifies the pivotal role of OS as system software orchestrating hardware resources, software applications, and user interactions. Through succinct descriptions, he delineates the diverse types of OS, from single-user, single-task environments like early MS-DOS iterations, to multi-user, multi-tasking systems exemplified by modern Linux distributions.
Crucial components like the kernel and shell are dissected, highlighting their indispensable functions in resource management and user interface interaction. Das elucidates how the kernel acts as the central nervous system, orchestrating process scheduling, memory allocation, and device management. Meanwhile, the shell serves as the gateway for user commands, bridging the gap between human input and machine execution. 💻
The narrative then shifts to a captivating exploration of prominent desktop OSs, Windows, macOS, and Linux. Windows, with its globally ubiquitous presence and user-friendly interface, emerges as a cornerstone in personal computing history. macOS, lauded for its sleek design and seamless integration with Apple's ecosystem, stands as a beacon of stability and creativity. Linux, an open-source marvel, offers unparalleled flexibility and security, revolutionizing the computing landscape. 🖥️
Moving to the realm of mobile devices, Das unravels the dominance of Android and iOS. Android's open-source ethos fosters a vibrant ecosystem of customization and innovation, while iOS boasts a seamless user experience and robust security infrastructure. Meanwhile, discontinued platforms like Symbian and Palm OS evoke nostalgia for their pioneering roles in the smartphone revolution.
The journey concludes with a reflection on the ever-evolving landscape of OS, underscored by the emergence of real-time operating systems (RTOS) and the persistent quest for innovation and efficiency. As technology continues to shape our world, understanding the foundations and evolution of operating systems remains paramount. Join Pravash Chandra Das on this illuminating journey through the heart of computing. 🌟
Digital Marketing Trends in 2024 | Guide for Staying Ahead
https://www.wask.co/ebooks/digital-marketing-trends-in-2024
Feeling lost in the digital marketing whirlwind of 2024? Technology is changing, consumer habits are evolving, and staying ahead of the curve feels like a never-ending pursuit. This e-book is your compass. Dive into actionable insights to handle the complexities of modern marketing. From hyper-personalization to the power of user-generated content, learn how to build long-term relationships with your audience and unlock the secrets to success in the ever-shifting digital landscape.
Generating privacy-protected synthetic data using Secludy and Milvus
During this demo, the founders of Secludy will demonstrate how their system utilizes Milvus to store and manipulate embeddings for generating privacy-protected synthetic data. Their approach not only maintains the confidentiality of the original data but also enhances the utility and scalability of LLMs under privacy constraints. Attendees, including machine learning engineers, data scientists, and data managers, will witness first-hand how Secludy's integration with Milvus empowers organizations to harness the power of LLMs securely and efficiently.
Taking AI to the Next Level in Manufacturing.pdf
Read Taking AI to the Next Level in Manufacturing to gain insights on AI adoption in the manufacturing industry, such as:
1. How quickly AI is being implemented in manufacturing.
2. Which barriers stand in the way of AI adoption.
3. How data quality and governance form the backbone of AI.
4. Organizational processes and structures that may inhibit effective AI adoption.
6. Ideas and approaches to help build your organization's AI strategy.
Skybuffer SAM4U tool for SAP license adoption
Manage and optimize your license adoption and consumption with SAM4U, an SAP free customer software asset management tool.
SAM4U, an SAP complimentary software asset management tool for customers, delivers a detailed and well-structured overview of license inventory and usage with a user-friendly interface. We offer a hosted, cost-effective, and performance-optimized SAM4U setup in the Skybuffer Cloud environment. You retain ownership of the system and data, while we manage the ABAP 7.58 infrastructure, ensuring fixed Total Cost of Ownership (TCO) and exceptional services through the SAP Fiori interface.
Columbus Data & Analytics Wednesdays - June 2024
Columbus Data & Analytics Wednesdays, June 2024 with Maria Copot 20
leewayhertz.com-AI in predictive maintenance Use cases technologies benefits ...
Predictive maintenance is a proactive approach that anticipates equipment failures before they happen. At the forefront of this innovative strategy is Artificial Intelligence (AI), which brings unprecedented precision and efficiency. AI in predictive maintenance is transforming industries by reducing downtime, minimizing costs, and enhancing productivity.
Finale of the Year: Apply for Next One!
Presentation for the event called "Finale of the Year: Apply for Next One!" organized by GDSC PJATK
Driving Business Innovation: Latest Generative AI Advancements & Success Story
Are you ready to revolutionize how you handle data? Join us for a webinar where we’ll bring you up to speed with the latest advancements in Generative AI technology and discover how leveraging FME with tools from giants like Google Gemini, Amazon, and Microsoft OpenAI can supercharge your workflow efficiency.
During the hour, we’ll take you through:
Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board.
Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes.
Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI.
We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI.
This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!
Your One-Stop Shop for Python Success: Top 10 US Python Development Providers
Simplify your search for a reliable Python development partner! This list presents the top 10 trusted US providers offering comprehensive Python development services, ensuring your project's success from conception to completion.
Choosing The Best AWS Service For Your Website + API.pptx
Have you ever been confused by the myriad of choices offered by AWS for hosting a website or an API?
Lambda, Elastic Beanstalk, Lightsail, Amplify, S3 (and more!) can each host websites + APIs. But which one should we choose?
Which one is cheapest? Which one is fastest? Which one will scale to meet our needs?
Join me in this session as we dive into each AWS hosting service to determine which one is best for your scenario and explain why!
A Comprehensive Guide to DeFi Development Services in 2024
DeFi represents a paradigm shift in the financial industry. Instead of relying on traditional, centralized institutions like banks, DeFi leverages blockchain technology to create a decentralized network of financial services. This means that financial transactions can occur directly between parties, without intermediaries, using smart contracts on platforms like Ethereum.
In 2024, we are witnessing an explosion of new DeFi projects and protocols, each pushing the boundaries of what’s possible in finance.
In summary, DeFi in 2024 is not just a trend; it’s a revolution that democratizes finance, enhances security and transparency, and fosters continuous innovation. As we proceed through this presentation, we'll explore the various components and services of DeFi in detail, shedding light on how they are transforming the financial landscape.
At Intelisync, we specialize in providing comprehensive DeFi development services tailored to meet the unique needs of our clients. From smart contract development to dApp creation and security audits, we ensure that your DeFi project is built with innovation, security, and scalability in mind. Trust Intelisync to guide you through the intricate landscape of decentralized finance and unlock the full potential of blockchain technology.
Ready to take your DeFi project to the next level? Partner with Intelisync for expert DeFi development services today!
HCL Notes and Domino License Cost Reduction in the World of DLAU
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-and-domino-license-cost-reduction-in-the-world-of-dlau/
The introduction of DLAU and the CCB & CCX licensing model caused quite a stir in the HCL community. As a Notes and Domino customer, you may have faced challenges with unexpected user counts and license costs. You probably have questions on how this new licensing approach works and how to benefit from it. Most importantly, you likely have budget constraints and want to save money where possible. Don’t worry, we can help with all of this!
We’ll show you how to fix common misconfigurations that cause higher-than-expected user counts, and how to identify accounts which you can deactivate to save money. There are also frequent patterns that can cause unnecessary cost, like using a person document instead of a mail-in for shared mailboxes. We’ll provide examples and solutions for those as well. And naturally we’ll explain the new licensing model.
Join HCL Ambassador Marc Thomas in this webinar with a special guest appearance from Franz Walder. It will give you the tools and know-how to stay on top of what is going on with Domino licensing. You will be able lower your cost through an optimized configuration and keep it low going forward.
These topics will be covered
- Reducing license cost by finding and fixing misconfigurations and superfluous accounts
- How do CCB and CCX licenses really work?
- Understanding the DLAU tool and how to best utilize it
- Tips for common problem areas, like team mailboxes, functional/test users, etc
- Practical examples and best practices to implement right away
Recently uploaded (20)
Overcoming the PLG Trap: Lessons from Canva's Head of Sales & Head of EMEA Da...
Overcoming the PLG Trap: Lessons from Canva's Head of Sales & Head of EMEA Da...
Ocean lotus Threat actors project by John Sitima 2024 (1).pptx
Ocean lotus Threat actors project by John Sitima 2024 (1).pptx
Introduction of Cybersecurity with OSS at Code Europe 2024
Introduction of Cybersecurity with OSS at Code Europe 2024
Nordic Marketo Engage User Group_June 13_ 2024.pptx
Nordic Marketo Engage User Group_June 13_ 2024.pptx
Deep Dive: AI-Powered Marketing to Get More Leads and Customers with HyperGro...
Deep Dive: AI-Powered Marketing to Get More Leads and Customers with HyperGro...
Operating System Used by Users in day-to-day life.pptx
Operating System Used by Users in day-to-day life.pptx
Digital Marketing Trends in 2024 | Guide for Staying Ahead
Digital Marketing Trends in 2024 | Guide for Staying Ahead
Generating privacy-protected synthetic data using Secludy and Milvus
Generating privacy-protected synthetic data using Secludy and Milvus
leewayhertz.com-AI in predictive maintenance Use cases technologies benefits ...
leewayhertz.com-AI in predictive maintenance Use cases technologies benefits ...
Driving Business Innovation: Latest Generative AI Advancements & Success Story
Driving Business Innovation: Latest Generative AI Advancements & Success Story
Your One-Stop Shop for Python Success: Top 10 US Python Development Providers
Your One-Stop Shop for Python Success: Top 10 US Python Development Providers
Choosing The Best AWS Service For Your Website + API.pptx
Choosing The Best AWS Service For Your Website + API.pptx
A Comprehensive Guide to DeFi Development Services in 2024
A Comprehensive Guide to DeFi Development Services in 2024
HCL Notes and Domino License Cost Reduction in the World of DLAU
HCL Notes and Domino License Cost Reduction in the World of DLAU
Big Data and Robotics
- 1. ROBOTICS AND BIG DATA THE PERFECT COMBINATION
- 3. RELATIONSH IP BIG DATA- ARTIFICIAL INTELLIGENC E Robotics was always about data and it follows three stage sequence: sense, plan and act. Sensing is needed to perceive the robot`s environment so that is aware of what`s happening around it, but it also requires self conscience of the robot`s current placement in the environment. Planning is needed to perform with desired purpose and reliability in complex environments and finally taking planned actions necessary to achieve planned goals. There are different sensing modalities to reach the purposes: • Measuring sensors • Measuring tactile sensors • Measuring visual sensors
- 4. APPLICATION OF BIG DATA IN ROBOTICS • INTERNET OF THINGS • SMART PREDICTIVE MAINTENANCE
- 5. INTERNET OF THINGS WITH BIG DATA The Internet of Things is basically a complex network that connects people and things together through the Internet. IoT includes Big Data which provides predictive analysis over all. This allows to build insights from data stored on Big Data databases. The use of Big Data for IoT will create more accurate market strategies and enhanced Return On Investment in future sales because it will implemented the complete product lifecycle
- 6. INTERNET OF THINGS WITH ROBOTICS This system will bring benefits when every robot is able to store and analyze its own usage data, then is able to communicate that data smartly to other connected devices. The Internet of Robotic Things will take a more active approach: synthesizing data from a full spectrum of sources and using machine intelligence to make real decisions, robotic devices need ways to execute in the real world.
- 7. EFFECTS OF INTERNET OF THINGS ON ROBOTICS
- 8. SMART PREDICTIVE MAINTENANCE The Smart Predictive Maintenance is a modern maintenance technique that leverages multiple technologies and maintenance approaches, including a powerful, advanced method and predictive maintenance. The SPdM platform on robotics sends a signal to one of the welding robots to self configure its home location to ensure its polar coordinates are accurately calibrated.
- 9. REASONS OF THIS INNOVATION I have decided to talk about this innovation because Artificial Intelligence is the technology of the future so this data are too large and complex to manipulate with customary methods or tools, besides the big data has the purpose to draw conclusions about that information. It`s necessary to make a huge investment to introduce this new way of Intelligence and introduce data, so I think that for a robot it`s possible to sum a huge quantity and complex quantity of data like the industries and government. Because robots have cognitive capacity however it`s necessary to build for a robot the ability to make understandable the data and sum up everything.