This document discusses how smart manufacturing and artificial intelligence of things (AIoT) can help drive digital transformation. It provides examples of how IoT solutions have helped various companies reduce costs and improve operations. It then discusses key concepts in smart manufacturing like the intelligent edge, cloud computing, and different waves of innovation with IoT, edge, and AI. The document outlines Microsoft's IoT portfolio and reference architecture for smart manufacturing. It also describes various Azure IoT capabilities and solutions like IoT Hub, IoT Edge, Time Series Insights, and preconfigured solutions for predictive maintenance, remote monitoring and connected factories. Finally, it discusses how machine learning can address supply chain optimization, predictive maintenance, anomaly detection, production scheduling and demand
In 2012, The Economist claimed we were entering the third industrial revolution based on the digitization of manufacturing, also referred to as the “smart factory.” The development and adoption of the Internet of Things is a critical element of smart manufacturing as reduced sensor device cost, and increased connectivity and in-memory processing give manufacturers the ability to gather and use data to increase product quality and transform operations. IT organizations are increasingly involved with the management, security and governance of this data as equipment and products are connected to the internet. This session will provide a practical framework for evaluating ways to improve sensor enablement, transaction processes and analytics based on real-world customer examples.
Industry 4.0 promises great increase in productivity and profitability. This presentation covers the basics of this new manufacturing approach and it separates facts from fiction.
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.
In 2012, The Economist claimed we were entering the third industrial revolution based on the digitization of manufacturing, also referred to as the “smart factory.” The development and adoption of the Internet of Things is a critical element of smart manufacturing as reduced sensor device cost, and increased connectivity and in-memory processing give manufacturers the ability to gather and use data to increase product quality and transform operations. IT organizations are increasingly involved with the management, security and governance of this data as equipment and products are connected to the internet. This session will provide a practical framework for evaluating ways to improve sensor enablement, transaction processes and analytics based on real-world customer examples.
Industry 4.0 promises great increase in productivity and profitability. This presentation covers the basics of this new manufacturing approach and it separates facts from fiction.
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.
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.
The fourth industrial revolution Industry 4.0 represents a new paradigm shift from “centralized” to “decentralized” industry relies on cyber-physical based automation where sensors send data directly to the cloud and services such as monitoring, control and optimization automatically subscribe to necessary data in real-time. In the coming years, these technologies will be seen as a viable alternative to current manufacturing processes. According to a recent report by Markets and Markets, smart factory technology will have global market size of 74.80 Billion USD by 2022. The talk provides a comprehensive introduction to Industry 4.0 and Smart Factory. Technical challenges and social implications of smart factory will be discussed. The applicability of these emerging technologies in developing economies is highlighted in this talk as well.
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
Next IIoT wave: embedded digital twin for manufacturing IRS srl
Next IIoT wave will be a population of digital twin. A digital twin is a real-time digital replica of a physical device. Developing an embedded digital twin allows superior device diagnostic and failure anticipation. Discover how to to implement an embedded digital twin using real-time monitoring, physical models, and machine learning
Cognitive Digital Twin by Fariz SaračevićBosnia Agile
Data are driving the world today and they are becoming world's precious currency. Continuous Engineering, the default set of applications for enterprise software development, produce a wealth of data but it is hard to understand its value. What if you could find hidden patterns in your data your development teams create? What if you could discover ways to improve your team's performance? This presentation reviewed some of the different ways the Collaborative Lifecycle Management team (http://jazz.net) is utilizing Watson Analytics to gain insights into and improve efficiency with their own processes.
Impact for Educational Institutions, Internet of things, Digital Enablers, New Age Production, Smart Factory, New digital industrial technology, Interdisciplinary Thinking, Digital Work Place, 3d printing,
Industry 4.0 promises to create new customer value in the market place by unleashing a combination of new technologies, data analytics, new generation cyber-physical production systems and newer methods of human machine interfaces. What does a developing country like India need to do to join the race?
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.
The fourth industrial revolution Industry 4.0 represents a new paradigm shift from “centralized” to “decentralized” industry relies on cyber-physical based automation where sensors send data directly to the cloud and services such as monitoring, control and optimization automatically subscribe to necessary data in real-time. In the coming years, these technologies will be seen as a viable alternative to current manufacturing processes. According to a recent report by Markets and Markets, smart factory technology will have global market size of 74.80 Billion USD by 2022. The talk provides a comprehensive introduction to Industry 4.0 and Smart Factory. Technical challenges and social implications of smart factory will be discussed. The applicability of these emerging technologies in developing economies is highlighted in this talk as well.
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
Next IIoT wave: embedded digital twin for manufacturing IRS srl
Next IIoT wave will be a population of digital twin. A digital twin is a real-time digital replica of a physical device. Developing an embedded digital twin allows superior device diagnostic and failure anticipation. Discover how to to implement an embedded digital twin using real-time monitoring, physical models, and machine learning
Cognitive Digital Twin by Fariz SaračevićBosnia Agile
Data are driving the world today and they are becoming world's precious currency. Continuous Engineering, the default set of applications for enterprise software development, produce a wealth of data but it is hard to understand its value. What if you could find hidden patterns in your data your development teams create? What if you could discover ways to improve your team's performance? This presentation reviewed some of the different ways the Collaborative Lifecycle Management team (http://jazz.net) is utilizing Watson Analytics to gain insights into and improve efficiency with their own processes.
Impact for Educational Institutions, Internet of things, Digital Enablers, New Age Production, Smart Factory, New digital industrial technology, Interdisciplinary Thinking, Digital Work Place, 3d printing,
Industry 4.0 promises to create new customer value in the market place by unleashing a combination of new technologies, data analytics, new generation cyber-physical production systems and newer methods of human machine interfaces. What does a developing country like India need to do to join the race?
Subscribed 2015: The Explosion of Smart Connected ThingsZuora, Inc.
Market experts and leading analyst firms predict that we’ll see the number of smart connected things grow from ~2B today to over 50B within the coming decade. The introduction of these new smart, connected things enable functional variability to shift from the physical design to the digital smarts that are being embedded in the “thing”. This explosion of smart, connected things provides both their creators and users (consumers and enterprises) with endless opportunities to continually monetize features, options, usage and data over the lifetime of the “thing’s” operation. Come to this session and see how PTC and Zuora are helping businesses capitalize on these important new revenue streams through a live demo.
Hannover Messe 2017 is going to be a watershed for the Digital Technologies taking over the Manufacturing world like a storm. The presentation gives a detailed look into what the worlds largest exhibition is going to give a feel of.
Denodo DataFest 2016: ROI Justification in Data VirtualizationDenodo
Watch the full session: Denodo DataFest 2016 sessions: https://goo.gl/eB3lOM
There are two sides to the ROI coin. One is TCO and the other is business impact. In this session, we will explain how to justify and measure the ROI for data virtualization, and share examples of authentic business benefits realized by our key customers. If you need help justifying the investment, don't miss this session!
In this session, you will learn:
• How data virtualization is used to leverage data as a strategic asset, and to monetize data
• How to justify and measure ROI for data virtualization solutions
• Examples of business benefits realized by our key customers
This session is part of the Denodo DataFest 2016 event. You can also watch more Denodo DataFest sessions on demand here: https://goo.gl/VXb6M6
Making Your Digital Twin Come to Life.pdfAvinashBatham
Tredence is excited to co-innovate with Databricks to deliver the solutions required for
enterprises to create digital twins from the ground up and implement them swiftly to
maximize their ROI.
Digital enterprise intro requirements collaboration for elec v11 may 2020Trey Reeser
Digital Enterprise - Collaboration Productivity Xcelerator.
See how Siemens Xcelerator is a catalyst for the Digital Enterprise. View what kind of impact that can have on a business that sets out to transform and become a Digital Enterprise. Consider how to change your business to maintain high productivity levels with remote workers.
¿Cómo las manufacturas están evolucionando hacia la Industria 4.0 con la virt...Denodo
Watch full webinar here: https://bit.ly/3cbpipB
Uno de los sectores en los que la transformación digital está teniendo un efecto más disruptivo es el de la fabricación. Líderes del sector manufacturero están apostando por el Big Data, la computación en la nube, la inteligencia artificial y el Internet de las Cosas (IoT) entre otras tecnologías, además de contemplar la llegada de la 5G, con el fin de:
- Automatizar los procesos de manera eficiente, para permitir una mayor producción en menor tiempo
- Crear valor añadido en los productos manufacturados
- Conectar la planta industrial con el punto de venta
- Impulsar el análisis en tiempo real de datos provenientes de diferentes cadenas de producción
Sin embargo, para alcanzar estos objetivos y llevar a cabo esta revolución tecnológica, también conocida como industria 4.0, las manufacturas tienen que enfrentarse a una serie de desafíos no negligentes. El sector industrial es el que genera más datos en el mundo, y en la era digital, la velocidad, la diversidad y el volumen exponencial de los datos pueden superar las arquitecturas de TI tradicionales. Además, la mayoría de los fabricantes se enfrentan a silos de datos, lo que hace que su tratamiento sea lento y costoso. Necesitan entonces una plataforma de TI fiable que permita integrar, centralizar y analizar datos de distintas fuentes y diferentes formatos de manera ágil y segura para poner la información al servicio del negocio.
Los expertos de Enki y Denodo te proponen este seminario online para descubrir qué es la virtualización de datos, y por qué líderes del sector apuestan por esta tecnología innovadora para optimizar su estrategia de TI y conseguir un ROI significativo gracias a un acceso más rápido, simple y unificado a los datos industriales.
Inside 6 Dimensional Model for Industry 4.0 Smart Factory by WeboniseWebonise Lab
Webonise uses a six dimensional approach to help manufacturing companies on their path to a Smart factory with 4th Industrial Revolution. The deep dive to pure Tech Adoption Strategies + Data Driven Play for Future Factories.
Reimagine Service Delivery using IoT and AIAshish Saxena
For many industries such as Medical devices, Industrial equipment, Manufacturing, Transportation, Utilities and many more, field service organization is key to the success of the company.
The effect of technology on field service and manufacturing cannot be underestimated, especially as new technologies like IoT, Artificial intelligence (AI) and Machine learning (ML) have proven capabilities to streamline and transform traditional workflows & service delivery models. These technologies can also enable digital transformation initiatives in field service organizations. However, companies are facing technical challenges in developing & implementing an end to end solution and understanding how they can benefit from these technologies.
In this webinar we covered:
1) Field Service Challenges
2) Key challenges in building IoT/ML/AI enabled Field service operations
3) Customer Case studies
4) Our Solution Overview
5) How you can grow revenue and optimize operations
Derek Binkley, Director of Technical Services at ARCA talked about how they leveraged the IOT/ML/AI solution to solve their service challenges. ARCA is a provider of largest selection of cash handling devices of any manufacturer in the world. They provide cash automation technologies to customers in over 50 countries and support these devices from their headquarters in North Carolina.
Transformation 101 - Business Model WorkshopDaniel Li
Tech savvy will distaste the seemingly lame business model discussion. However, a closer look at transformation challenges in IoT reveals the lack of business model discussion. A often ignored root cause is the lack of facilitation tool. The paper addresses such need to ice breaking executive sale to build buy-in and consensus
Smart Vending machine comes back to life with AI and IoT to deliver new features. The paper is compiled and written to facilitate an vending machine operator for Azure IoT adoption to transform the business model and expand markets
Azure IoT - A Practical Entry to New RetailDaniel Li
New Retail is in fact a paramount horizontal integration to connect consumers to manufacturers of highly personalized products. It's firstly brought up by Alibaba and is rapidly put in actions in tier 1 retailers. How retailers, retail device manufacturers to take practical actions to embrace the sea change. The presentation offers the hint with Azure IoT
Azure IoT in Industrial Automation - Practical ConsiderationsDaniel Li
The presentation explores multiple popular solutions in Industrial Automation with a simple value chain analysis on time to market, business transformation evolution. It's very useful for Cloud Service Reseller, IoT device makers and Azure IoT business development on path to commercialization for profits.
Many governments are into investing in country Silicon Valleys. Apart from infrastructure, there are secret recipe that is not easily achievable without vision & execution. Implications of success or failure can have paramount impact in wealth shift.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
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.
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
PHP Frameworks: I want to break free (IPC Berlin 2024)Ralf Eggert
In this presentation, we examine the challenges and limitations of relying too heavily on PHP frameworks in web development. We discuss the history of PHP and its frameworks to understand how this dependence has evolved. The focus will be on providing concrete tips and strategies to reduce reliance on these frameworks, based on real-world examples and practical considerations. The goal is to equip developers with the skills and knowledge to create more flexible and future-proof web applications. We'll explore the importance of maintaining autonomy in a rapidly changing tech landscape and how to make informed decisions in PHP development.
This talk is aimed at encouraging a more independent approach to using PHP frameworks, moving towards a more flexible and future-proof approach to PHP development.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
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.
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
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
5. Open source support beyond your imagination
Applications
Infrastructure
Management
Databases and
middleware
App frameworks
and tools
DevOps
6.
7. Connected chillers are
back online 9x faster than
unconnected equipment,
avoiding more than
$300,000 in hourly
downtime costs
Data from sensors and
systems to create
valuable business
intelligence and reduce
downtime by 50%
Reduced its accident rate
by 25% and fuel usage by
20%, reporting annual
savings of $1.8 million
Cut down-time cut for
each packaging line by up
to 48 hours, saving
€30,000 for customers
Keeping farmers informed
about irrigation, disease
control diseases, and pest
has led to increased yields
of 30%, and a 20%
reduction in water use
Rolls Royce “power by the
hour” model provides
maximize availability by
cutting fuel consumption by
1% and up to $250,000 per
plane, per year.
Access to production and
supply chain data worldwide,
reduced downtime costs by
as much as $300,000 per day
Licorice extruders on
Twizzler’s production line
are performing at peak
optimization, saving
over $500K/year on
materials alone
Enabled customers to
transport more than 1M
additional tons of
cargo, and reduce fuel
consumption by 17%
8.
9. Cloud
Globally available, unlimited compute resources
Waves of Innovation
IoT
Harnessing signals from sensors and devices,
managed centrally by the cloud
Edge
Intelligence offloaded from the cloud to IoT
devices
AI
Breakthrough intelligence capabilities, in the cloud
and at the edge
12. Intelligent Edge
High-speed data processing,
analytics and shorter response
times are more essential than ever.
Intelligent Cloud
• Business agility and scalability: unlimited
computing power available on demand.
Intelligent Edge
• Can handle priority-one tasks locally
even without cloud connection.
• Can handle generated data that is too
large to pull rapidly from the cloud.
• Enables real-time processing through
intelligence in or near to local devices.
• Flexibility to accommodate data privacy related
requirements.
17. Digital transformation is real – and it’s happening now
83%
of manufacturers said
that selling products
as services increases
profits
72%
of field service
organizations treat
service as a profit
center
Create service-
based business
models
40%
of industrial
manufacturers use
digital technologies to
monitor products sold
to customers
73%
of manufacturing
executive are launching
IoT initiative in 20171
Enhance the
customer
experience
80%
of manufacturers
expect that improved
factory connectivity
will help them increase
output
levels
35%
of manufacturers
currently collect and use
data generated by smart
sensors to enhance
manufacturing
Innovate
faster
1. Source: State of the Market: Internet of Things 2017, Verizon
18. CRM
SRM
ERP
…
Process
interoperability (IT)Information
Flow (OT)
Collaborative
equipment Ecosystem
Interaction
Mixed/Augmented
Reality
Simulation
Industrial IoT
Cloud
3D Printing
Big Data
and
Analytics
Vertical integration | Horizontal integration | End-to-end engineering
Industry 4.0 Design Principles
Industry 4.0
Machine
Learning
Autonomous Robots
Cybersecurity
BlockChain
19. IoT tangible results … moving to SMB soon
Gathers data from sensors and
systems to create valuable
business intelligence and
reduce downtime by 50%
Cutting fuel usage by 1%
could save $250,000 per
plane per year
Chillers now run 9x faster
than unconnected equipment,
avoiding more than $300,000
in hourly downtime costs
Improves access to production
and supply chain data
worldwide, reducing downtime
costs by as much as $300,000
per day
20. Connecting and controlling devices
Device Registry/Management
Collecting and managing data
Stream
Analytics
External
Data Sources
Transforming real-time data to business insights
Gateway
Delivering insights to decision makers Performing advanced analytics
Data Mash Ups
Data Factory
IoT agent
Event Hubs & Service Bus
IoT Hub
Data Storage
SQL DB Table / Blob Storage
Business Intelligence
Power BI
Azure Websites
Mobile Services
Predictive Maintenance Event
Analysis
Generate
Prediction Models
Prediction
Models
Training
Models
Machine Learning
(Azure ML)
HDInsight
(Hadoop)
ML Studio
External
Services
Local Technician
Remote Expert
Azure
Service Bus
HoloLens
OS
LOB Systems of Record
MESERP
21. Service Ticket
History (CRM)
Other CAD
Systems
Long
Distance
Engine
? More
Aluminum?
Carbon
Fiber
Parts
?
Placeholder Placeholder Placeholder
Connected Product Innovation
Short Range Engine Short Range Training
Understand exactly how products are
performing in the field
1
FLIGHT DATA
Investigate issues and redesign as necessary
4
Anticipate new use cases and optimize product performance
5
Change
Requests
IoT
Trends
Service Ticket
History (CRM)
010101001001010101001001
010100100101010100100100DIGITALSTREAM
Engineer /
Design Change
010101001001010
010100100101010DIGITAL STREAM
Idea Management
Center
FACTORIES PRODUCING FUEL PUMP FACTORIES PRODUCING FUEL PUMP
USA GERMANY
Engineering RequestsSupplier Investigations
Vendor
Change Request
Sales/Service
Campaigns
Combine product data across all relevant sources
2
Run simulations to predict performance issues
and identify opportunities for improvement
3
22. Service Ticket
History (CRM)
Other CAD
Systems
Long
Distance
Engine
? More
Aluminum?
Carbon
Fiber
Parts
?
Placeholder Placeholder Placeholder
Connected Product Innovation
Short Range Engine Short Range Training
Understand exactly how products are performing
in the field
• Know how frequently the product is being used
• Find usage and failure rates for specific parts or
features
• Discover 360°view of product performance
compared to design
1
FLIGHT DATA
Investigate issues and redesign as necessary
• Resolve instances of over- and under-engineering to optimize product
performance/cost ratio
• Design different product configurations to better fit usage patterns
• Support redesign of areas with regular failures
• Manage vendor lists and track standard performance across suppliers
4Anticipate new use cases and optimize product performance
• Save time and money by combining preventative maintenance with replacement
of redesigned parts
• Refine products to fit stakeholder needs at product launch and throughout the
product lifecycle
• Design new products lines and offer new services, like training, based on product
insights
5
IoT
Trends
Service Ticket
History (CRM)
Power BI Embedded within
ISV XXX
Cortana Intelligence Suite
Change
Requests
Develop new streams of revenue, like new product models, lines and services
Coordinate one-off changes and preventative repairs with existing maintenance
schedules
Give technicians detailed repair walk-throughs using wearables and augmented
reality
Improve collaboration and design with wearables and augmented reality
Streamline cross-org communication and automate regular handoffs
between departments
Visualize data from PLM and CAD systems in a unified view
CAD on Azure
Big Compute
Connected Product Innovation
Connected Field Service
Hololens
Azure IoT
Acceleration
Solutions
010101001001010101001001
010100100101010100100100DIGITALSTREAM
Vendor
Change Request
Engineer /
Design Change
010101001001010
010100100101010DIGITAL STREAM
Sales/Service
Campaigns
Idea Management
Center
FACTORIES PRODUCING FUEL PUMP FACTORIES PRODUCING FUEL PUMP
USA GERMANY
Power BI Cortana Intelligence Suite
Engineering RequestsSupplier Investigations
Hololens
Combine product data across all relevant sources
• Aggregate data from silos such as maintenance records, design
specifications, and diagnostics
• Analyze data across vendors, part specifications, and other external
sources
• Integrate stakeholder feedback on existing and suggested features
for 360°view of customer
2
Predict disruptive events and identify opportunities
• Collaborate across teams and geographies with product-
focused tools
• Determine if products meet design benchmarks
• Compare quality of variants using data-driven analysis to
guide design changes
3
Product Insights
Azure Data Lake
Connected Product Innovation
23. IoT projects are complex
New skill sets
Time-consuming setup and
integration
Heavy up-front investment
24. Smart Manufacturing Reference Architecture
Field
Gateway
IoT Hub
Data Ingestion
Device Registry
Device Management
HTTP/s, AMQP, MQTT
Microsoft Azure
Office365NUI
PowerBI
Enterprise
Business
Systems
PLM ERP MES CRM
Stream Analytics
HD Insight
Machine Learning
SQLTable/Blob
Storage
{ }
DocumentDB Data Lake
ID
Devices
Sensors
Field
Gateway
OPC
Publisher
SCM
Event Hub
Data Catalog
Data Factory
Information Management
Big Data Storage
Azure Biztalk
Logic Apps
Analytics and Machine Learning
Business Integration
and Gateways
Visualization
25. User experiences
Dashboards Mixed Reality Interactive speech Gestures
Preconfigured Azure IoT Suite and SaaS applications
Remote monitoring Predictive maintenance Connected factory Microsoft IoT Central
Analytics and artificial intelligence
HDInsight Machine
Learning
Data Lake
Analytics
Azure Time
Series Insights
Bot
Framework
Operations
Technology (OT)
Enterprise business processes
PLM ERP SCM MESCRM
Home
EdgeAnalyticsDeviceAgent
StreamAnalytics
onedge
Logic
Apps
API
integration
BizTalk
Services
Azure StackSQL Server
Enterprise IT Business integration
Hot path analytics and application platform
Cold path analytics and storage
Stream Analytics Event Hubs Service Fabric (Actors) Functions
Data Factory DocumentDB SQL Database Data Lake Store
Field Gateway
Cloud Gateway
Azure IoT Gateway
Azure IoT
Hub
(device
provisioning)
Cognitive
Services
26. User experiences
Dashboards Mixed Reality Interactive speech Gestures
Preconfigured Azure IoT Suite and SaaS applications
Remote monitoring Predictive maintenance Connected factory Microsoft IoT Central1
Analytics and artificial intelligence
HDInsight Machine
Learning
Data Lake
Analytics
Azure Time
Series Insights
Bot
Framework
Operations
Technology (OT)
Enterprise business processes
PLM ERP SCM MESCRM
Home
Logic
Apps
API
integration
BizTalk
Services
Azure StackSQL Server
Enterprise IT Business integration
Hot path analytics and application platform
Cold path analytics and storage
Stream Analytics Event Hubs Service Fabric (Actors) Functions
Data Factory DocumentDB SQL Database Data Lake Store
Field Gateway
Cloud Gateway
Azure IoT Gateway
Azure IoT
Hub
(device
provisioning)
Cognitive
Services
StreamAnalytics
onedge
DeviceAgent
27. User experiences
Dashboards Mixed Reality Interactive speech Gestures
Preconfigured Azure IoT Suite and SaaS applications
Remote monitoring Predictive maintenance Connected factory Microsoft IoT Central1
Analytics and artificial intelligence
HDInsight Machine
Learning
Data Lake
Analytics
Azure Time
Series Insights
Bot
Framework
Operations
Technology (OT)
Enterprise business processes
PLM ERP SCM MESCRM
Home
Logic
Apps
API
integration
BizTalk
Services
Azure StackSQL Server
Enterprise IT Business integration
Hot path analytics and application platform
Cold path analytics and storage
Stream Analytics Event Hubs Service Fabric (Actors) Functions
Data Factory DocumentDB SQL Database Data Lake Store
Field Gateway
Cloud Gateway
Azure IoT Gateway
Azure IoT
Hub
(device
provisioning)
Cognitive
Services
StreamAnalytics
onedge
DeviceAgent
28. Microsoft’s IoT portfolio
Microsoft’s vision is to democratize IoT by allowing everyone to access
the benefits of IoT and provide the foundation for digital transformation
Fully managed SaaS
Best used when you need to get started quickly
with minimal IoT experience
Microsoft
IoT Central
Securely distribute
cloud intelligence
locally, quickly, and
at scale
Hybrid – Edge
Analytics
Azure IoT
Edge
+
Customizable PaaS
Best used when you need a lot of control over
your IoT solution
Azure IoT
Suite
29. Azure IoT Acceleration Solutions
Easily ingest data and create command & control responses
Analyze incoming data via stream processing and machine learning
Integrate with existing business systems and automate workflows
Leverage PowerBI for rich dashboards and visualization
Deploy quickly with preconfigured Solutions
Predictive Maintenance
Remote Monitoring v2
Securely connect to and manage devices and gateways
Connected Factory
30. A new preconfigured solution to connect your OPC UA and OPC Classic devices to Azure to:
• Monitor factory, production lines, station OEE, and KPI values
• Analyze the telemetry data generated from these devices using Azure Time Series Insights
• Act on alerts to fix issues
Connected Factory Solution
IoT Hub
VM
Linux VM (with multiple assembly lines)
Web App hosting
Solution Dashboard &
OPC UA Client
OPC UA Server
OPC UA Server
OPC UA Server
Gateway SDK with
OPC Proxy &
OPC Publisher
Modules
MES
Simulation
(OPC UA Client)
Telemetry path
Command &
Control path
Time Series Insights
31. Designed for IoT
Connect up to 10 million devices
Cloud-scale messaging
Device-to-cloud and Cloud-to-device
Durable messages (at least once semantics)
Per-device authentication
Individual device identities and credentials
Multi-protocol support
Natively supports AMQP, HTTP, MQTT
Designed for extensibility to custom protocols
Service assisted communications
Secure bi-directional communication
Command and control
Cloud-facing telemetry ingestion
Delivery receipts, expired messages
Device communication errors
Connection multiplexing
Single device-cloud connection for all
communications (C2D, D2C)
Multi-platform
Device SDKs available for multiple platforms
(e.g. RTOS, Linux, Windows)
Multi-platform Service SDK
32. Azure IoT Edge
• Low-latency (important in safety scenarios, such as stop the machine immediately)
• Intermittent connectivity (remote mining, oil, factories)
• Integrate sensor data from different devices
• Filter or aggregate telemetry data before sending it to the cloud
• Transform raw input from sensors to meaningful information
On Premise
Azure IoT Edge
Devices
RTOS,Linux,Windows,
Android,iOS
Stream
Analytics
Custom
OPC UA or
Modbus
ingestion
module
Azure
Functions
Machine
Learning
Cognitive
Services
Container
Management
Functions
Runtime
Device Twin
Local
Storage
IoT Hub
Device
Twin
Stream
Analytics
Machine
Learning
Power BI
35. Brownfield Enabled
<$500
+ No changes to
machines required!
Consistent,
compatible data
model for all
machines,
plus security!
No compatibility!
No winner in the field bus/industrial
ethernet wars!
36. OPC
Publisher
Device
Connectivity & Management
Analytics &
Operationalized Insights
Presentation &
Business Connectivity
IndustrialDevices
(OPCandOPCUAServers)
Hot Path Analytics
Azure Stream Analytics, Azure Storm
Presentation & Business
Connections
Websites, Mobile Services
Dynamics, BizTalk Services,
Notification Hubs
Cloud Gateway
IoT Hub
Field
Gateway
OPC API & Client
Hot Path Business Logic
Service Fabric & Actor Framework
Azure IoT Accelerator Solutions Supports OPC UA
37. Azure Time Series Insights (提供強大時序資料處理能力)Devices
Storage
• IoT SCALE TIME-SERIES DATA STORE Schema-less store, just send data
Easy IoT Hub connection
Store, query and visualize billions of events
Simple and fast navigation
38. Combine human and digital intelligence
Challenge
Achieving fine-tuned
composition of precision-
manufactured parts
requires tight control of
the tools and processes to
ensure consistent quality
and reliability; and
minimize waste.
Strategy
Convert the knowledge
of service technicians
into a digital format and
apply machine learning
to adjust cutting
configuration and
optimize production.
Results
• Retrofit machine learning
information to automatically
adjust equipment and manage
tooling inventory
• Tool-level intelligence to
minimize idle time up to 50%
• Improve Customer service level
“What sets us apart is our deep knowledge of the machining process and our ability to
translate that knowledge into the algorithms used to analyze the data.”
— Mats Lindeblad, Global Product Manager Sandvik Coromant
43. Machine Learning addresses a range of scenarios
High-yield use cases that transform Manufacturing
Supply Chain
and
Inventory
Optimization
Predictive
Maintenance
Anomaly
Detection
Production
Scheduling
Demand
Forecasting
Quality
Assurance
47. Azure IoT Edge
• Low-latency (important in safety scenarios, such as stop the machine immediately)
• Intermittent connectivity (remote mining, oil, factories)
• Integrate sensor data from different devices
• Filter or aggregate telemetry data before sending it to the cloud
• Transform raw input from sensors to meaningful information
On Premise
Azure IoT Edge
Devices
RTOS,Linux,Windows,
Android,iOS
Stream
Analytics
Custom
OPC UA or
Modbus
ingestion
module
Azure
Functions
Machine
Learning
Cognitive
Services
Container
Management
Functions
Runtime
Device Twin
Local
Storage
IoT Hub
Device
Twin
Stream
Analytics
Machine
Learning
Power BI
51. The industry’s most comprehensive portfolio
Azure IoT Suite (PaaS)
Preconfigured solutions for common IoT scenarios
Data and Analytics
Azure Time Series
Insights
Azure
Machine Learning
Cosmos DB
Azure Stream
Analytics
Azure Data Lake
Azure Data Lake
Analytics
Azure HD Insight
Visualization and Integration
Azure Logic Apps
Notification Hubs
Azure Websites
Microsoft Flow
Microsoft
Power BI
Azure Monitor
Azure Active
Directory
Device support
Azure IoT
Device SDK
Azure IoT
certified devices
Security Program for
Azure IoT
Windows 10 IoT
IoT
Edge
Azure IoT Hub
Azure IoT Edge
IoT Hub Device
Provisioning Service
Microsoft Dynamics
Connected Field Service
Microsoft IoT Central
IoT SaaS
Solutions (PaaS)
Technologies (PaaS)
Solutions (SaaS)