1) Predictive analytics using IoT data faces unique challenges due to issues with data quality from IoT sources. The "data-insight gap" is a challenge for obtaining accurate predictions from incomplete and inconsistent IoT data.
2) Current IoT+predictive architectures are cloud-centric but future architectures will move more of the processing and analytics to the edge to improve responsiveness and deal with high data volumes.
3) Cleaning and preparing IoT data for machine learning algorithms is a major challenge since most advanced techniques require large volumes of consistent, high-quality data but IoT data is often incomplete and inconsistent. A two-tiered approach using ML for both data cleaning and predictive modeling may help
Choose the right IIoT connectivity solution using guidance from the IIC's Connectivity Framework document. Present at RIoT Labs lunch and learn in July 2017 by John Breitenbach, RTI FAE.
Revolutionize your business with the Industrial Internet of Things ( IIoT) - ...CTOBuddy.com
Download the whitepaper from http://www.attunity.com/IIoT
The Industrial Internet of Things is made up of billions of devices collecting and transmitting data to support some of the fastest-growing areas in global business. But to glean value from the IIoT, companies need to be able to access and analyze this Big Data, and there are several common technical hurdles that need to be addressed first.
Take a look at this presentation to understand how Attunity addresses these technical hurdles head-on, enabling companies to move data fast, easily and securely, and realize the full value of the IIoT.
Choose the right IIoT connectivity solution using guidance from the IIC's Connectivity Framework document. Present at RIoT Labs lunch and learn in July 2017 by John Breitenbach, RTI FAE.
Revolutionize your business with the Industrial Internet of Things ( IIoT) - ...CTOBuddy.com
Download the whitepaper from http://www.attunity.com/IIoT
The Industrial Internet of Things is made up of billions of devices collecting and transmitting data to support some of the fastest-growing areas in global business. But to glean value from the IIoT, companies need to be able to access and analyze this Big Data, and there are several common technical hurdles that need to be addressed first.
Take a look at this presentation to understand how Attunity addresses these technical hurdles head-on, enabling companies to move data fast, easily and securely, and realize the full value of the IIoT.
Industrial IoT landscape and technology, differences between consumer and industrial IoT, Industry 4.0 and Industrial Internet.LPWAN and SIGFOX network
State of the market for IoT/IIoT and the cloud: What are the emerging opportunities for using interconnected devices and the cloud to provide enterprises with operational efficiencies and more effective mobility?
This slide explains the concept of Industrial Internet of Things. It covers IIot's present Market Landscape , IoT segments by IIoT, Ecosystem analysis, Major Drivers, Major challenges faced by Value chain players, Potential use cases along my analysis and recommendations on IIoT Technology and market landscape.
This white paper dwells upon some of the finer and crucial factors on IIoT adoption in India - is India as a market ready for accepting IIoT, what is the market potential, what are the challenges / road blocks, how DIGITAL INDIA & MAKE IN INDIA programs are propelling the emanation and adoption of IIoT technology, along with some of the IIoT use cases to address and improve output, efficiency, reduction in energy consumption & GHG.
Industrial Internet of Things by Edy Liongosari of Accenturegogo6
Download our special report, IoT Tech for the Manager: http://bit.ly/report1-slideshare
Introduction to the Industrial Internet of Things as presented at the IoT Inc Business' Fifth Meetup. See: http://www.iot-inc.com/meetup-driving-growth-industrial-internet-of-things/
In our fifth Meetup we have Edy Liongosari, Managing Director of Accenture Technology Labs presenting “Driving Unconventional Growth Through the Industrial Internet of Things.” Come meet other business leaders in the IoT ecosystem and discuss the business issues you face in the Internet of Things.
PRESENTATION ABSTRACT
The Industrial Internet of Things has been heralded primarily as a way to improve operational efficiency. But in today’s environment, companies can also benefit greatly by seeing it as a tool for finding growth in unexpected opportunities. In the future, successful companies will use the Industrial Internet of Things to capture new growth through three approaches: boost revenues by increasing production and creating new hybrid business models, exploit intelligent technologies to fuel innovation, and transform their workforce.
The Most Definitive guide to Industrial IoT ImplementationAditya Basu
Industrial IoT has the potential of USD 15.3 trillion to the global economy by 2030 subjected to an improvement of 1-1.5%. Industrial Internet is a revolutionary technology that enhances the Industrial environment with the IoT capabilities. IIoT helps to solve the bottlenecks in the business environment, provides operational efficiency, increases productivity and reduces the complexity of the process.
The main benefit of Industrial IoT is the connected enterprise that enhances the visibility across various departments and benefits with a smooth workflow. According to General Electric CEO, Jeff Immelt, IIoT has twice the market potential than that of the consumer IoT.
In this Guide you will know everything about
a) The Connected Factory! Role of IIoT
b) Evolution of IIoT to Industry 4.0
c) Industrial IoT Ecosystem
d) Value Chain Players today and what you can learn from them
e) How IIoT is Different from IoT
f) Technology Drivers and Adoption
g) Market Indicators and why you should jump the Bandwagon NOW!
h) Market Revenues and Areas of Focus
i) The Digitization Wave
j) Real World Industrial IoT Case Studies Including Solutions & Outcomes
Check out the differences between IoT, IIoT & Industry 4.0. Looking to increase your revenue by leveraging IoT or Industry 4.0, click here - https://smacar.com/
To know more about the differences between IoT, IIoT and Industry 4.0, click here - https://smacar.com/iot-iiot-industry-4-0/
Smart Industry 4.0: IBM Watson IoT in de praktijkIoT Academy
Tijdens de tweede IoT meetup van 2017 gaf Ronald Teijken inzicht hoe bedrijven slimmer complexe beslissingen kan nemen dankzij het Watson IoT Platform van IBM. Sensoren, Data, Analytics, Cognitive zijn enkele onderwerpen die hierbij aan bod kwamen.
A presentation I gave at the New Mexico Experience IT Conference on IoT and Smart Manufacturing. Includes some very brief details at the end about Cogswell.io (http://www.cogswell.io), our IoT Service Platform which includes Complex Event Processing (CEP) and Pub/Sub solutions. Some slides are unfortunately missing a few references.
Industrial IoT – the disruption of manufacturingFelix Plitzko
Industrial IoT has been around for quite a while. But it is more than just visualizing the immense amount of data available within manufacturing machines. It creates opportunities to offer a new range of services. I will talk about the opportunities Industrial IoT creates, and how we use it to offer our services at AISLER.
This presentation is part of a talk I gave at RIOT.berlin 2017.
Advanced Industrial IoT, IIoT Training Crash Course For You - Tonex TrainingBryan Len
Industrial iot, internet of things. Industrial iot, industry 4 training course - Tonex training
The major impact of IoT can be seen in the industrial sector, with the industries all over the globe moving toward Industry 4.0, IoT is playing a major role in the 4th industrial revolution. The most revolutionary technology in the Industrial sector today is IIoT.
Enabled by the Internet of Things (IoT), Industry 4.0 — also known as the era of digitalization — refers to the use of automation and data exchange in manufacturing with machines making split-second decisions based on real-time data.
Other benefits from IoT-infused Industry 4.0, include:
Richer and more timely analytics
Digitizing and making sense of information
Improving customer satisfaction and customer experience
Improving product quality or keeping product quality intact
Boost efficiency and profitability across the entire organization
Real-time insights that lead to better, faster decisions
Providing all team members with up-to-date, relevant views of production and business processes
Course agenda:
Introduction to Industrial Internet of Things
Industrial automation: PLC and SCADA
Sensor Data Mining and Analytics
Wireless Sensor Area Networks (WSAN)
Design and Development of IIoT systems
Industry 4.0: Smart factory initiative
Industrial cloud platforms
Industrial IoT security
Request more information regarding Industrial IoT, Internet of Things, IIoT, Training Crash Course. Visit tonex.com for course and workshop detail.
https://www.tonex.com/industry-4-0-course-internet-of-things-iot-training/
Industry 4.0 (IIoT) is changing the face of manufacturing like never before. Global situation of tariff war and re-shoring are catalysts driving this change in addition to technology adaption.
Check out this Comparative Analysis between Industry 4.0 (IIoT) and SCADA systems to understand the basic differences between the two.
Industry 4.0 has widespread application across Industries (Manufacturing, Logistics, Mobility etc.). In case of manufacturing and processing industries Industry 4.0 means Smart Manufacturing using IIoT (Industrial Internet of Things or simply Industrial IoT) in a connected smart factory.
It enables an Organization to make smart data-driven decisions based on Big Data, Artificial Intelligence and Machine Learning. Industry 4.0 IIoT has several benefits such as Resource Optimization, Cost Reduction, Automation, Predictive Maintenance and Prescriptive Analytics and Control etc.
Don Pearson and Travis Cox from Inductive Automation, and Arlen Nipper, the president/CTO of Cirrus Link Solutions and co-inventor of MQTT, will take you on a deeper dive into the components and infrastructure of an MQTT-based SCADA solution.
The New Ignition v7.9 - See, Maintain, and Manage Your Enterprise With Ease Inductive Automation
Colby Clegg and Carl Gould, Co-Directors of Software Engineering, introduce the new Ignition v7.9. In this webinar, Colby and Carl discuss and demonstrate the new features of Ignition v7.9.
Industrial IoT landscape and technology, differences between consumer and industrial IoT, Industry 4.0 and Industrial Internet.LPWAN and SIGFOX network
State of the market for IoT/IIoT and the cloud: What are the emerging opportunities for using interconnected devices and the cloud to provide enterprises with operational efficiencies and more effective mobility?
This slide explains the concept of Industrial Internet of Things. It covers IIot's present Market Landscape , IoT segments by IIoT, Ecosystem analysis, Major Drivers, Major challenges faced by Value chain players, Potential use cases along my analysis and recommendations on IIoT Technology and market landscape.
This white paper dwells upon some of the finer and crucial factors on IIoT adoption in India - is India as a market ready for accepting IIoT, what is the market potential, what are the challenges / road blocks, how DIGITAL INDIA & MAKE IN INDIA programs are propelling the emanation and adoption of IIoT technology, along with some of the IIoT use cases to address and improve output, efficiency, reduction in energy consumption & GHG.
Industrial Internet of Things by Edy Liongosari of Accenturegogo6
Download our special report, IoT Tech for the Manager: http://bit.ly/report1-slideshare
Introduction to the Industrial Internet of Things as presented at the IoT Inc Business' Fifth Meetup. See: http://www.iot-inc.com/meetup-driving-growth-industrial-internet-of-things/
In our fifth Meetup we have Edy Liongosari, Managing Director of Accenture Technology Labs presenting “Driving Unconventional Growth Through the Industrial Internet of Things.” Come meet other business leaders in the IoT ecosystem and discuss the business issues you face in the Internet of Things.
PRESENTATION ABSTRACT
The Industrial Internet of Things has been heralded primarily as a way to improve operational efficiency. But in today’s environment, companies can also benefit greatly by seeing it as a tool for finding growth in unexpected opportunities. In the future, successful companies will use the Industrial Internet of Things to capture new growth through three approaches: boost revenues by increasing production and creating new hybrid business models, exploit intelligent technologies to fuel innovation, and transform their workforce.
The Most Definitive guide to Industrial IoT ImplementationAditya Basu
Industrial IoT has the potential of USD 15.3 trillion to the global economy by 2030 subjected to an improvement of 1-1.5%. Industrial Internet is a revolutionary technology that enhances the Industrial environment with the IoT capabilities. IIoT helps to solve the bottlenecks in the business environment, provides operational efficiency, increases productivity and reduces the complexity of the process.
The main benefit of Industrial IoT is the connected enterprise that enhances the visibility across various departments and benefits with a smooth workflow. According to General Electric CEO, Jeff Immelt, IIoT has twice the market potential than that of the consumer IoT.
In this Guide you will know everything about
a) The Connected Factory! Role of IIoT
b) Evolution of IIoT to Industry 4.0
c) Industrial IoT Ecosystem
d) Value Chain Players today and what you can learn from them
e) How IIoT is Different from IoT
f) Technology Drivers and Adoption
g) Market Indicators and why you should jump the Bandwagon NOW!
h) Market Revenues and Areas of Focus
i) The Digitization Wave
j) Real World Industrial IoT Case Studies Including Solutions & Outcomes
Check out the differences between IoT, IIoT & Industry 4.0. Looking to increase your revenue by leveraging IoT or Industry 4.0, click here - https://smacar.com/
To know more about the differences between IoT, IIoT and Industry 4.0, click here - https://smacar.com/iot-iiot-industry-4-0/
Smart Industry 4.0: IBM Watson IoT in de praktijkIoT Academy
Tijdens de tweede IoT meetup van 2017 gaf Ronald Teijken inzicht hoe bedrijven slimmer complexe beslissingen kan nemen dankzij het Watson IoT Platform van IBM. Sensoren, Data, Analytics, Cognitive zijn enkele onderwerpen die hierbij aan bod kwamen.
A presentation I gave at the New Mexico Experience IT Conference on IoT and Smart Manufacturing. Includes some very brief details at the end about Cogswell.io (http://www.cogswell.io), our IoT Service Platform which includes Complex Event Processing (CEP) and Pub/Sub solutions. Some slides are unfortunately missing a few references.
Industrial IoT – the disruption of manufacturingFelix Plitzko
Industrial IoT has been around for quite a while. But it is more than just visualizing the immense amount of data available within manufacturing machines. It creates opportunities to offer a new range of services. I will talk about the opportunities Industrial IoT creates, and how we use it to offer our services at AISLER.
This presentation is part of a talk I gave at RIOT.berlin 2017.
Advanced Industrial IoT, IIoT Training Crash Course For You - Tonex TrainingBryan Len
Industrial iot, internet of things. Industrial iot, industry 4 training course - Tonex training
The major impact of IoT can be seen in the industrial sector, with the industries all over the globe moving toward Industry 4.0, IoT is playing a major role in the 4th industrial revolution. The most revolutionary technology in the Industrial sector today is IIoT.
Enabled by the Internet of Things (IoT), Industry 4.0 — also known as the era of digitalization — refers to the use of automation and data exchange in manufacturing with machines making split-second decisions based on real-time data.
Other benefits from IoT-infused Industry 4.0, include:
Richer and more timely analytics
Digitizing and making sense of information
Improving customer satisfaction and customer experience
Improving product quality or keeping product quality intact
Boost efficiency and profitability across the entire organization
Real-time insights that lead to better, faster decisions
Providing all team members with up-to-date, relevant views of production and business processes
Course agenda:
Introduction to Industrial Internet of Things
Industrial automation: PLC and SCADA
Sensor Data Mining and Analytics
Wireless Sensor Area Networks (WSAN)
Design and Development of IIoT systems
Industry 4.0: Smart factory initiative
Industrial cloud platforms
Industrial IoT security
Request more information regarding Industrial IoT, Internet of Things, IIoT, Training Crash Course. Visit tonex.com for course and workshop detail.
https://www.tonex.com/industry-4-0-course-internet-of-things-iot-training/
Industry 4.0 (IIoT) is changing the face of manufacturing like never before. Global situation of tariff war and re-shoring are catalysts driving this change in addition to technology adaption.
Check out this Comparative Analysis between Industry 4.0 (IIoT) and SCADA systems to understand the basic differences between the two.
Industry 4.0 has widespread application across Industries (Manufacturing, Logistics, Mobility etc.). In case of manufacturing and processing industries Industry 4.0 means Smart Manufacturing using IIoT (Industrial Internet of Things or simply Industrial IoT) in a connected smart factory.
It enables an Organization to make smart data-driven decisions based on Big Data, Artificial Intelligence and Machine Learning. Industry 4.0 IIoT has several benefits such as Resource Optimization, Cost Reduction, Automation, Predictive Maintenance and Prescriptive Analytics and Control etc.
Don Pearson and Travis Cox from Inductive Automation, and Arlen Nipper, the president/CTO of Cirrus Link Solutions and co-inventor of MQTT, will take you on a deeper dive into the components and infrastructure of an MQTT-based SCADA solution.
The New Ignition v7.9 - See, Maintain, and Manage Your Enterprise With Ease Inductive Automation
Colby Clegg and Carl Gould, Co-Directors of Software Engineering, introduce the new Ignition v7.9. In this webinar, Colby and Carl discuss and demonstrate the new features of Ignition v7.9.
The presentation looks at the growing demand for data that many organizations are experiencing. Then it will look at the many data sources you can connect to using Ignition, including PLC data; databases; device data; and data from web services.
Here is a link to the webinar - https://inductiveautomation.com/resources/webinar/webinar-get-more-data-your-scada
A History of IIoT Cyber-Attacks & Checklist for Implementing Security [Infogr...GlobalSign
The Industrial Internet of Things, or Industry 4.0, is improving operational efficiencies for global industrial systems on a scale never seen before. The IIoT holds great potential for improved communications, productivity, quality control, supply chain efficiencies and overall business operations. With this broader connectivity, comes new attack vectors, vulnerabilities and opportunities for hackers. We have created this infographic to show some of the top cyber-attacks in the industrial sector and how they could have been prevented. Now is the time to take our advice and prevent an attack on your business.
Read More: https://www.globalsign.com/en/blog/industrial-internet-of-things-cyber-attacks-infographic/
Don Pearson and Travis Cox from Inductive Automation, Arlen Nipper, the president/CTO of Cirrus Link Solutions and co-inventor of MQTT, and Gregory Tink, managing owner of The Streamline Group address the improvements to data access to help solve business challenges as well as explore the digital oilfield.
Programmable logic controllers (PLCs) have been an integral part of factory automation and industrial process control for decades. PLCs control a wide array of applications from simple lighting functions to environmental systems to chemical processing plants. These systems perform many functions, providing a variety of analog and digital input and output interfaces; signal processing; data conversion; and various communication protocols. All of the PLC's components and functions are centered around the controller, which is programmed for a specific task.
The basic PLC module must be sufficiently flexible and configurable to meet the diverse needs of different factories and applications. Input stimuli (either analog or digital) are received from machines, sensors, or process events in the form of voltage or current. The PLC must accurately interpret and convert the stimulus for the CPU which, in turn, defines a set of instructions to the output systems that control actuators on the factory floor or in another industrial environment
Geepy is a brand of the company M2M Telecom Ltd. We are designers and manufacturing technology products strong cyber security, nano technology, artificial intelligence and multiple modems for data transmission.
A Presentation on raspberry pi. The newest presentation, it includes Raspberry Pi 2 Model B and Model A+.
Price comparison as well as technologies used.
Will SCADA Systems Survive? The Future of Distributed Management SystemsTibbo
What are common features of IIoT and SCADA/HMI and differences between them? And what advantages do Intenet of Things Platforms have over SCADA Systems? Find out answers in the Presentation.
Cisco data analytics in ioe_rajiv niles_2015 novCiscoKorea
시스코가 소개하는 만물인터넷 시대의 데이터 애널리틱스의 가치!
슬라이드에 대한 자세한 발표 내용은 시스코 코리아 공식 블로그(www.ciscokrblog.com/768) 나 네트워크 사이트(http://apjc.thecisconetwork.com/site/content/lang/ko/id/4537) 확인해 보실 수 있습니다.
VoltDB and HPE Vertica Present: Building an IoT Architecture for Fast + Big DataVoltDB
This webinar with Chris Selland of HPE Vertica and Dennis Duckworth of VoltDB addresses the growing challenges with managing a complex IoT solution and how to enable real-time operational interaction with comprehensive data analytics.
Internet of Things Presentation to Los Angeles CTO ForumFred Thiel
What are the impacts to our systems and businesses when billions of devices start sharing data? This presentation covers some important statistics about the implications of the coming IoT wave and how it will disrupt those who are not prepared.
AI for Manufacturing (Machine Vision, Edge AI, Federated Learning)byteLAKE
This is the extended presentation about byteLAKE's and Lenovo's Artificial Intelligence solutions for Manufacturing.
Topics covered: AI strategy for manufacturing, Edge AI, Federated Learning and Machine Vision.
It's the first publication in the upcoming series: AI for Manufacturing. Highlights: AI-assisted quality monitoring automation, AI-assisted production line monitoring and issues detection, AI-assisted measurements, Intelligent Cameras and many more. Reach out to us to learn more: welcome@byteLAKE.com.
Presented during the world's first Federated Learning conference (Jun'20). Recording: https://youtu.be/IMqRIi45dDA
Related articles:
- Revolution in factories: Industry 4.0.
https://medium.com/@marcrojek/revolution-in-factories-industry-4-0-conference-made-in-wroclaw-2020-translation-ae96e5e14d55
- Cognitive Automation helps where RPAs fall short.
https://medium.com/@marcrojek/cognitive-automation-helps-where-rpas-fall-short-a1c5a01a66f8
- Machine Vision, how AI brings value to industries.
https://medium.com/@marcrojek/machine-vision-how-ai-brings-value-to-industries-e6a4f8e56f42
Learn more:
- https://www.bytelake.com/en/cognitive-services/
- https://www.lenovo.com/ai
- https://federatedlearningconference.com/
InfoRepos Academy Introduction v1.1 - IIOT Experiential Learning ProgramInfoRepos Technologies
Introduction to IIOT Course & Benefits:
This is an Experiential Learning Program in the Industrial Internet of Things Area. This course covers below topics:
- Fundamentals of Electronics for IOT Engineering
- Using Arduino & RaspberryPi_Programming for IOT
- Manufacturing PCB & Component Assembly of IOT Devices
- Embedded Systems Coding & Firmware Injection
- Fundamentals of Python Programming
- Fundamentals of SQLite & MySQL
- Advances IIOT Programming using Python
- Data Storage & Accessing Mechanism Using MySQL & Cloud
- Data Sciences - Deep Learning with TensorFlow for IIOT
- Data Sciences - Machine Learning using IBM Watson for IIOT
- Data Visualization - Tableau for IOT
From IBM Business Connect 2016 in Copenhagen. Covers definition of cognitive buildings and background on the global partnership between ISS and IBM on IoT,cognitive buildings, facility management and workforce optimization.
Qu'est ce que le Big Data ? Avec Victoria Galano Data Scientist chez Air FranceJedha Bootcamp
Depuis les 5 dernières années, nous avons créé plus de données que depuis les débuts de l'humanité. Nous produisons aujourd'hui tellement de données qu'il devient difficile de les gérer. C'est ce qu'on appelle le Big Data. Durant ce workshop nous parlerons des enjeux du Big Data et de ses applications concrètes dans notre société.
Digital revolution with Cloud computingTarry Singh
Digital revolution is upon us. Cloud has become increasingly mature, social has taken over our lives by storm, whether twitter, Facebook, linkedin or just about doing anything with our personal or private lives. Mobile / smartphone is almost literally wearable tech in our pockets but more is coming. And finally with big data & analytics (structured and unstructured), we are at the brink of defining our new lives as "fully informed consumers". IoT (Internet of things) is the next big platform, a marketplace where all things will happen. Yes, all of the things!
This presentation was given in Malaysia conference 2009 and it still holds true!
Significant Changes in Digital Technology with ‘Manufacturing Innovation 3.0’...Hong-Seok Kim
Presented by Hong-Seok Kim* <hskim@kitech.re.kr> at IFDS-MVE**, Shanghai University, Shanghai, China, Aug. 15, 2016
* QrioCty@Gmail.com, https://www.facebook.com/QrioCty, https://www.facebook.com/DIR-Data-Intelligence-Robotics-247625041926255/, https://www.facebook.com/IMT-제조기술혁신-121702971175341/
** International Forum on Development Strategies of Mechanical and Vehicle Engineering
The growth on the Internet of Things (IoT) has been astonishing.
From Home to Cities,
Wearables to Driverless Cars, Agriculture to Factories ,
more and more things are being connected and embedded with technology and generating big-data.
- When Data became really ‘Big-Data’?
- What are the characteristics/complexities of Big-Data in IoT?--
- What is the role of Analytics and How is it different in IoT context?
- What are the use-cases of IoT with Analytics in Action?
- When AI meets IoT: Frameworks, Tools, Technologies
Big Data made easy in the era of the Cloud - Demi Ben-AriDemi Ben-Ari
Talking about the ease of use and handling Big Data technologies in the Cloud. Using Google Cloud Platform and Amazon Web Services and all of the tools around it.
Showing the problems and how we can solve them with simple tools.
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].
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.
the evolution of TV experience from media to entertainment, from broadcast to personacast, from consumption to interaction, and from branded content to a combination of branded and user-generated content. This addresses how these technology changes might influence the thinking of diverse stakeholders in the tv value chain – broadcasters, content studios, advertisers and of course viewers.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
Generating a custom Ruby SDK for your web service or Rails API using Smithyg2nightmarescribd
Have you ever wanted a Ruby client API to communicate with your web service? Smithy is a protocol-agnostic language for defining services and SDKs. Smithy Ruby is an implementation of Smithy that generates a Ruby SDK using a Smithy model. In this talk, we will explore Smithy and Smithy Ruby to learn how to generate custom feature-rich SDKs that can communicate with any web service, such as a Rails JSON API.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...
IIoT : Old Wine in a New Bottle?
1. Predictive Analytics : Why (I)IoT is
different
!
Venu Vasudevan, PhD!
!
Next.io (Consultant IoT | Big Data)!
Adjunct Professor, ECE, Rice U.!
!
venuv62@gmail.com!
@venuv62!
2. Me
Intrapreneur. balanced diet of IoT & predictive analytics
๏ IIoT for asset management. Key contributions to Zigbee!
๏ Shazam for IoT - IoT accessory Home/Auto!
๏ Iridium predictive fault management!
1Mill measurands/sec. then satellite ~ now thermostat!
๏ Predictive video analytics (acquired by WatchWith)!
3. Agenda: Predictive & IIoT
• Why in the limelight?!
• Now. is it new-and-unique or sum-of-parts!
• Next. will it be new-and-unique or sum-of-parts!
4. IIoT Market Potential
$150B addressable market!
by 2020!
Low(er) business friction!
- IIoT Technology creators !
are also customers!
5. Predictive ability : Mandatory, not optional
over-doing!
processes!
expensive!
under-doing!
processes!
catastrophic!
rightsizing a!
dynamic, predictive process!
(time | business context)!
e.g. too much ‘routine’ !
maintenance. lightly used !
equipment!
e.g. not enough!
maintenance. !
high risk equipment!
Business Focus : from reliability to optimization
7. Predictive Analytics : IoT Challenge + Opportunity
high quality,!
high velocity!
predictions!
with incomplete, untidy data!
Source. Keystone Strategy!
SpottyData!‘Good’predictions!
long runway for predictive!
8. Challenge : Data-Insight Gap
• There is no ‘free lunch’ : better
predictions need more data!
• Ways to narrow the gap!
• (Volume, Velocity) faster, fatter
path from data to decisioning!
• (Variability) clever ways to
clean data at scale!
• Match best algorithm for the
data at hand!
data maturity!
insight!
insight !
aspiration!
data !
reality!
variability!volume! velocity!
The ‘gap’ is not unique to IIoT. The reasons for it are ..!
9. IIoT vs Consumer Web : Same gap,
different reasons
Consumer IIoT
Capture Hard!
(consumers don’t cooperate)!
Easy!
(‘things’ always
cooperate - for a price)!
Sanitization Medium!
(simpler data types)!
Hard!
(gnarlier data types)!
Modeling &
Integration
Easy!
(e.g. eyeballs, dwell time)!
Hard!
(complex data models)!
10. IIoT+Predictive:more than sum of parts?
IoT!
Predictive!
Analytics!
retrospective! descriptive! prescriptive!predictive!
What’s the current IIoT+Predictive architecture?!
Does it address the data-insight gap?!
What architectural changes would close the gap?!
depth of insight!
scale!
13. Sensing Data Challenge
Option1. data goes to decisioning !
Fatter, faster pipes!
Continuous flow!
Option 2. decisioning goes to data !
Intelligent Edge !
Periodic updates!
sense!
getting data and decisioning together!
14. Edges make IIoT Faster
GE Blog - Edge: A Door to the Data Kingdom!
➡ Edges distribute predictive
services (cloud vs edge)!
➡ policy vs behavior !
➡ long-term vs real-time !
➡ architectures for flexible
(re)distribution of predictive
decision logic?!
15. Edges make IIoT Faster and Cheaper
➡ Edges distribute predictive
services (cloud vs edge)!
➡ policy vs behavior !
➡ long-term vs real-time!
➡ how will predictive decision logic
move to where the data is?!
Jasper. The hidden costs of delivering IoT!
16. Slow lakes to fast streams
• Now. Transition from data
lakes to data streams!
‣ 30-100x speed up : streams
over lakes!
‣ needed to deal with real-
time IIoT traffic!
‣ lambda architectures
balance prediction speed
and accuracy!
• Next ….!
untidy
data
firehose
clean
analytics
fast &
good
slower & much better
Lambda
architecture
collect!
Hadoop!
Spark!
17. Edge Filtering : Slimming diet for fat
streams
fitting predictive decisioning logic fit in super-small footprints!
18. Opportunity : Machine Learning at
unprecedented scale
• Machine-learning-as-a-service -
rich set of algorithms, solution
templates - immediate impact in: !
• problems with established
procedures!
• and clean data!
Source. Cortana Intelligence Gallery
learn!
19. Challenge : Clean Data
• State-of-the-art ML — promises
dramatic improvement. But
‘clean data’ hungry!
• Deep Learning 3x better than
Regression for electricity
demand forecasting!
• needs 1.5 million data points
for training (over 4.5 years)!
• Limiting factor is the data quality !
data maturity!
insight!
insight !
aspiration!
data !
reality!
variability!volume! veracity!
Stanford study. Electricity demand forecasting. Deep learning 3x better than ‘classic’ m/c learning!
20. Challenge : Clean Data
• State-of-the-art ML — promises
dramatic improvement. But
‘clean data’ hungry!
• Deep Learning 3x better than
Regression for electricity
demand forecasting!
• needs 1.5 million data points
for training!
• Limiting factor is the data quality!
Source. HP Enterprise Labs study!
Training Data
Training
Time
(IoT)
signals
3 million
frames!
days!
Vision
14 million
images!
3 days w/
16000 cores!
21. 2-Tiered Machine Learning for IIoT
• Intelligent IoT data cleansing
layer (e.g. Bitstew) - Machine
Learning turns dirty data into
clean data!
• low-level data cleaning pushed to the
edge!
• semantic integration between data
sources in the cloud!
• Predictive Layer - Machine
Learning turns clean data into
clean insights!
interfaces between cleansing & prediction? !
22. Conclusion
Present : Cloudy
• embrace. leverage cutting edge cloud and ML services!
• extend. adapt to IIoT business processes!
Future : Edgy
• hyper decentralized intelligence and data!
• systems that understand ‘normal’ and ‘deviation’!
• predictive systems that have both response velocity and
depth of insight!
24. Predictive Analytics : IoT Challenge
good enough,!
high velocity!
predictions!
with incomplete, untidy data!
(hourglass - with decay
statistic)!
Source. Par stream IoT survey!
25. Challenge : Clean Data
• State-of-the-art ML — promises
dramatic improvement. But
‘clean data’ hungry!
• Deep Learning 3x better than
Regression for electricity
demand forecasting!
• needs 1.5 million data points
for training (over 4.5 years)!
• Limiting factor is the data quality !
Stanford study. Electricity demand forecasting. Deep learning 3x better than ‘classic’ m/c learning!
Fast Accurate Clear
Naive
Bayes
Yes! Low! Somewhat!
Regression Yes! Medium! Yes!
Decision
Trees
Yes! Medium! Somewhat!
Deep
Learning
No! High! Heck no!