Slides from my talk at NT Konferenca 2015 on the Internet of Things (IoT) track. I talked about my "Smart Home" automation - hardware and wiring behind it and connected clients - Windows, including Windows 10 running on Raspberry Pi 2.
You can receive our Powerpoint slides by sharing this presentation and submitting your email at www.slidebooks.com | Digital Transformation Strategy Template and Training | By ex-Deloitte and McKinsey Consultants
This document provides an overview of Utthunga's IIoT solutions for pharmaceutical manufacturing. It discusses the current challenges in pharma manufacturing around product quality, operational efficiency, and regulatory compliance. It then presents several use cases where IIoT solutions could help address issues like equipment downtime, process variability, and utility management. The document outlines Utthunga's capabilities in areas like asset health management, drive monitoring, KPI management, and predictive maintenance. Finally, it proposes a collaborative approach between major stakeholders in pharma 4.0 to leverage collective expertise.
Digital Transformation Strategy PowerPoint Presentation Slides SlideTeam
Presenting this set of slides with name - Digital Transformation Strategy Powerpoint Presentation Slides. Our topic-specific Digital Transformation Strategy Powerpoint Presentation Slides presentation deck contains twenty-three slides to formulate the topic with a sound understanding. A range of editable and ready to use slides with all sorts of relevant charts and graphs, overviews, topics subtopics templates, and analysis templates makes it all the more worth. PPT slides are accessible in both widescreen and standard format. PowerPoint templates are compatible with Google Slides. Quick and risk-free downloading process. It can be easily converted into JPG or PDF format
EMPLOYEE ATTRITION PREDICTION IN INDUSTRY USING MACHINE LEARNING TECHNIQUESIAEME Publication
Companies are always looking for ways to keep their professional personnel on board in order to save money on hiring and training. Predicting whether or not a specific employee would depart will assist the organisation in making proactive decisions. Human resource problems, unlike physical systems, cannot be defined by a scientific-analytical formula. As a result, machine learning approaches are the most effective instruments for achieving this goal. In this study, a feature selection strategy based on a Machine Learning Classifier is proposed to improve classification accuracy, precision, and True Positive Rate while lowering error rates such as False Positive Rate and Miss Rate. Different feature selection techniques, such as Information Gain, Gain Ratio, Chi-Square, Correlation-based, and Fisher Exact test, are analysed with six Machine Learning classifiers, such as Artificial Neural Network, Support Vector Machine, Gradient Boosting Tree, Bagging, Random Forest, and Decision Tree, for the proposed approach. In this study, combining Chi-Square feature selection with a Gradient Boosting Tree classifier improves employee attrition classification accuracy while lowering error rates.
Introduction to Business Analytics and Simulation
http://nguyenngocbinhphuong.com/course/mo-phong-trong-kinh-doanh/
1) What is Business Analytics?
2) Types of Business Analytics: Descriptive, Predictive & Prescriptive
3) Data for Business Analytics: Structured & Unstructured or Semi-Structured
4) Models in Business Analytics: Logic-Driven Models & Data-Driven Models
5) Types of Business Simulation: Monte Carlo Simulation & System Simulation
The document discusses business analytics and big data. It provides an overview of key concepts like business process analytics, enterprise analytics capability, case studies on implementing analytics, and frameworks for business strategy, IT strategy, business process management, and enterprise architecture. The summaries emphasize linking analytics to business processes and strategy to drive business value from big data.
a slide summary of the document
2016, "The Industrial IoT: Business Strategy & Innovation Framework", The Industrial Internet Consortium, www.iiconsortium.org
You can receive our Powerpoint slides by sharing this presentation and submitting your email at www.slidebooks.com | Digital Transformation Strategy Template and Training | By ex-Deloitte and McKinsey Consultants
This document provides an overview of Utthunga's IIoT solutions for pharmaceutical manufacturing. It discusses the current challenges in pharma manufacturing around product quality, operational efficiency, and regulatory compliance. It then presents several use cases where IIoT solutions could help address issues like equipment downtime, process variability, and utility management. The document outlines Utthunga's capabilities in areas like asset health management, drive monitoring, KPI management, and predictive maintenance. Finally, it proposes a collaborative approach between major stakeholders in pharma 4.0 to leverage collective expertise.
Digital Transformation Strategy PowerPoint Presentation Slides SlideTeam
Presenting this set of slides with name - Digital Transformation Strategy Powerpoint Presentation Slides. Our topic-specific Digital Transformation Strategy Powerpoint Presentation Slides presentation deck contains twenty-three slides to formulate the topic with a sound understanding. A range of editable and ready to use slides with all sorts of relevant charts and graphs, overviews, topics subtopics templates, and analysis templates makes it all the more worth. PPT slides are accessible in both widescreen and standard format. PowerPoint templates are compatible with Google Slides. Quick and risk-free downloading process. It can be easily converted into JPG or PDF format
EMPLOYEE ATTRITION PREDICTION IN INDUSTRY USING MACHINE LEARNING TECHNIQUESIAEME Publication
Companies are always looking for ways to keep their professional personnel on board in order to save money on hiring and training. Predicting whether or not a specific employee would depart will assist the organisation in making proactive decisions. Human resource problems, unlike physical systems, cannot be defined by a scientific-analytical formula. As a result, machine learning approaches are the most effective instruments for achieving this goal. In this study, a feature selection strategy based on a Machine Learning Classifier is proposed to improve classification accuracy, precision, and True Positive Rate while lowering error rates such as False Positive Rate and Miss Rate. Different feature selection techniques, such as Information Gain, Gain Ratio, Chi-Square, Correlation-based, and Fisher Exact test, are analysed with six Machine Learning classifiers, such as Artificial Neural Network, Support Vector Machine, Gradient Boosting Tree, Bagging, Random Forest, and Decision Tree, for the proposed approach. In this study, combining Chi-Square feature selection with a Gradient Boosting Tree classifier improves employee attrition classification accuracy while lowering error rates.
Introduction to Business Analytics and Simulation
http://nguyenngocbinhphuong.com/course/mo-phong-trong-kinh-doanh/
1) What is Business Analytics?
2) Types of Business Analytics: Descriptive, Predictive & Prescriptive
3) Data for Business Analytics: Structured & Unstructured or Semi-Structured
4) Models in Business Analytics: Logic-Driven Models & Data-Driven Models
5) Types of Business Simulation: Monte Carlo Simulation & System Simulation
The document discusses business analytics and big data. It provides an overview of key concepts like business process analytics, enterprise analytics capability, case studies on implementing analytics, and frameworks for business strategy, IT strategy, business process management, and enterprise architecture. The summaries emphasize linking analytics to business processes and strategy to drive business value from big data.
a slide summary of the document
2016, "The Industrial IoT: Business Strategy & Innovation Framework", The Industrial Internet Consortium, www.iiconsortium.org
SAP was founded in 1972 in Walldorf, Germany. It stands for Systems, Applications and Products in Data Processing. Over the years, it has grown and evolved to become the world premier provider of client/server business solutions for which it is so well known today. The SAP R/3 enterprise application suite for open client/server systems has established a new standards for providing business information management solutions.
SAP product are consider excellent but not perfect. The main problems with software product is that it can never be perfect.
The main advantage of using SAP as your company ERP system is that SAP have a very high level of integration among its individual applications which guarantee consistency of data throughout the system and the company itself.
In a standard SAP project system, it is divided into three environments, Development, Quality Assurance and Production.
The development system is where most of the implementation work takes place. The quality assurance system is where all the final testing is conducted before moving the transports to the production environment. The production system is where all the daily business activities occur. It is also the client that all the end users use to perform their daily job functions.
To all company, the production system should only contains transport that have passed all the tests.
SAP is a table drive customization software. It allows businesses to make rapid changes in their business requirements with a common set of programs. User-exits are provided for business to add in additional source code. Tools such as screen variants are provided to let you set fields attributes whether to hide, display and make them mandatory fields.
This is what makes ERP system and SAP in particular so flexible. The table driven customization are driving the program functionality instead of those old fashioned hard-coded programs. Therefore, new and changed business requirements can be quickly implemented and tested in the system.
Many other business application software have seen this table driven customization advantage and are now changing their application software based on this table customizing concept.
In order to minimized your upgrading costs, the standard programs and tables should not be changed as far as possible. The main purpose of using a standard business application software like SAP is to reduced the amount of time and money spend on developing and testing all the programs. Therefore, most companies will try to utilized the available tools provided by SAP.
Power BI is a self-service business intelligence tool that allows users to analyze and visualize data. It consists of Power BI Desktop, the Power BI web service, and the Power BI mobile app. Power BI Desktop is used to build reports and dashboards locally, while the web service allows users to publish, share, and collaborate on reports and dashboards online. To create a dashboard in Power BI, a user would connect to a data source, build visualizations with the data, publish the report to the web, combine reports into a dashboard, and then share the dashboard.
This document provides an overview of data centers, including what they are, their components, benefits, and classifications. A data center houses servers and networking equipment to provide services like email, data storage, and web hosting. It discusses components like cooling, UPS, PDU, and backup power needed to support IT equipment. Data centers are classified based on their redundancy and availability, with tier 1 being the least redundant and tier 4 being the most fault tolerant.
Master Data Management (MDM) for Mid-MarketVivek Mishra
This document discusses master data management (MDM) solutions for mid-sized businesses. It begins by introducing MDM and its benefits, such as a single source of truth and improved data quality. It then outlines some common challenges for implementing MDM in mid-sized companies, such as high costs, maintaining multiple data domains, and the need for organizational change management. The document provides advice on overcoming these challenges by selecting flexible and affordable MDM platforms. It also describes key properties of effective MDM, like ongoing data governance and providing a 360-degree view of customers. Finally, it introduces Compunnel Digital's partnership with Profisee to offer modernized MDM solutions tailored for mid-sized organizations.
Gaining Data Center Cooling Efficiency Through Airflow ManagementUpsite Technologies
This presentation highlights research from Upsite Technologies regarding the latest best in data center airflow management and cooling, including steps to improvement. Originally delivered by Upsite President John Thornell at the AFCOM Boston-New England Chapter meeting.
This document discusses real-time big data applications and provides a reference architecture for search, discovery, and analytics. It describes combining analytical and operational workloads using a unified data model and operational database. Examples are given of organizations using this approach for real-time search, analytics and continuous adaptation of large and diverse datasets.
ScottMadden has developed an approach for analyzing data center requirements and driving improvements in existing data center retrofits. Our approach takes into account the technological requirements, the physical attributes of a data center, and the requirements for a rigorous measurement and verification program needed to ensure improvements actually capture the energy efficiently gains and the resultant greenhouse gas reductions.
Our approach addresses the latest trends in data center management such as virtualization and cloud computing and provide a framework for developing metrics needed to drive changes in data center performance.
Microsoft Dynamics 365 Business Central | Inovar ConsultingInovar Tech
With Dynamics 365 Business Central, no longer have to store data in separate systems that don’t work together, it’s all integrated. Contact us for more details or visit us at https://www.inovarconsulting.co.in/.
Power BI data modeling is the process of creating a relationship between common columns of multiple tables. If the column headings are the same across tables, then Power BI auto-detects the relationship between tables. Using these columns, we can merge the tables as well.
Eliminating Data Center Hot Spots: An Approach for Identifying and Correcting Lost Air
Data center cooling is a hot topic. But, when you consider the challenges associated with cooling the latest generation servers, the growing cost of infrastructure equipment, and the risks associated with data center hot spots brought on by high-density clusters and premature hardware failure, it's easy to understand the focus.
To view the recorded webinar event, please visit http://www.42u.com/data-center-hot-spots-webinar.htm
SAP offers a wide range of business applications, database and technology solutions, analytics tools, cloud offerings, and mobile services. Key application areas include financial management,
The digital transformation of CPG and manufacturingCloudera, Inc.
Both CPG (Consumer Packaged Goods) and manufacturing industries face similar challenges: in order to differentiate and innovate, they need to draw insight from the one thing they both have in abundance - data. The source of the data may be different; the opportunity is always innovation and differentiation. For CPG, forever changing buyer expectations must flow into product development and sales. For both CPG and manufacturing, Industry 4.0 promises improved efficiency, lower costs, and higher revenues. Becoming data-driven is the key for both industries and requires clever combination of machine learning, analytics and cloud for success.
In this webinar, business strategist Frank Vullers will discuss how Cloudera's platform is central to this century’s industrial revolution: the digital transformation of the CPG and manufacturing industries.
The document discusses the benefits of exercise for mental health. Regular physical activity can help reduce anxiety and depression and improve mood and cognitive function. Exercise causes chemical changes in the brain that may help alleviate symptoms of mental illness and boost overall mental well-being.
SAP is a leading provider of enterprise resource planning (ERP) software. It offers integrated business management software and services that can be used by all business functions across industries. Key features of SAP include its centralized relational database, client/server architecture with three application tiers, and focus on common business modules like finance, supply chain management, and human resources. SAP software solutions include SAP ERP, SAP CRM, SAP SCM, and SAP SRM. SAP NetWeaver provides integration tools to connect people, information, and business processes across the enterprise. Master data in SAP includes consistent, standardized records for customers, materials, and employees that are shared across modules.
Digital Twin at-a-glance, Yong @SEMIforteYong Wang
Digital twins are virtual representations of physical objects or systems which are expected to proliferate greatly by 2020. They allow real-time data from sensors to be integrated into virtual models to enable optimization and self-monitoring. For manufacturing, digital twins of products, factories and performance can be created using data from design, building and operations to enable benefits like smart scheduling, preventative maintenance and maximized output. The semiconductor industry is well-positioned to benefit from digital twins as it already collects extensive operational data and has the computing power required.
Internet of Things: Understanding the Business ImpactKony, Inc.
The document discusses the impact of the Internet of Things (IoT). It defines IoT as connecting physical objects to the digital world through sensors and internet connectivity. This allows objects to communicate and interact to simplify tasks, improve business processes, and raise efficiency. The document then outlines several key enabling technologies behind IoT like RFID, sensors, and nanotechnology. It also discusses challenges of IoT like security, standards, and data management, as well as benefits such as better decision making through analytics of large data sets. Overall, the document provides a high-level overview of what IoT is, how it works, and its implications.
Howard Cheng is the Vice President of Asia Pacific for Analog Devices. The document discusses Analog Devices' perspective on IoT and how they are well-positioned for value creation in IoT through their expertise in signal processing, sensors, power management, and connectivity, as well as their work in algorithms, domain knowledge, and data analytics. It provides examples of how Analog Devices is helping shape the future of IoT in areas like smart factories, smart healthcare, and smart cities through their technologies and partnerships with customers.
SAP was founded in 1972 in Walldorf, Germany. It stands for Systems, Applications and Products in Data Processing. Over the years, it has grown and evolved to become the world premier provider of client/server business solutions for which it is so well known today. The SAP R/3 enterprise application suite for open client/server systems has established a new standards for providing business information management solutions.
SAP product are consider excellent but not perfect. The main problems with software product is that it can never be perfect.
The main advantage of using SAP as your company ERP system is that SAP have a very high level of integration among its individual applications which guarantee consistency of data throughout the system and the company itself.
In a standard SAP project system, it is divided into three environments, Development, Quality Assurance and Production.
The development system is where most of the implementation work takes place. The quality assurance system is where all the final testing is conducted before moving the transports to the production environment. The production system is where all the daily business activities occur. It is also the client that all the end users use to perform their daily job functions.
To all company, the production system should only contains transport that have passed all the tests.
SAP is a table drive customization software. It allows businesses to make rapid changes in their business requirements with a common set of programs. User-exits are provided for business to add in additional source code. Tools such as screen variants are provided to let you set fields attributes whether to hide, display and make them mandatory fields.
This is what makes ERP system and SAP in particular so flexible. The table driven customization are driving the program functionality instead of those old fashioned hard-coded programs. Therefore, new and changed business requirements can be quickly implemented and tested in the system.
Many other business application software have seen this table driven customization advantage and are now changing their application software based on this table customizing concept.
In order to minimized your upgrading costs, the standard programs and tables should not be changed as far as possible. The main purpose of using a standard business application software like SAP is to reduced the amount of time and money spend on developing and testing all the programs. Therefore, most companies will try to utilized the available tools provided by SAP.
Power BI is a self-service business intelligence tool that allows users to analyze and visualize data. It consists of Power BI Desktop, the Power BI web service, and the Power BI mobile app. Power BI Desktop is used to build reports and dashboards locally, while the web service allows users to publish, share, and collaborate on reports and dashboards online. To create a dashboard in Power BI, a user would connect to a data source, build visualizations with the data, publish the report to the web, combine reports into a dashboard, and then share the dashboard.
This document provides an overview of data centers, including what they are, their components, benefits, and classifications. A data center houses servers and networking equipment to provide services like email, data storage, and web hosting. It discusses components like cooling, UPS, PDU, and backup power needed to support IT equipment. Data centers are classified based on their redundancy and availability, with tier 1 being the least redundant and tier 4 being the most fault tolerant.
Master Data Management (MDM) for Mid-MarketVivek Mishra
This document discusses master data management (MDM) solutions for mid-sized businesses. It begins by introducing MDM and its benefits, such as a single source of truth and improved data quality. It then outlines some common challenges for implementing MDM in mid-sized companies, such as high costs, maintaining multiple data domains, and the need for organizational change management. The document provides advice on overcoming these challenges by selecting flexible and affordable MDM platforms. It also describes key properties of effective MDM, like ongoing data governance and providing a 360-degree view of customers. Finally, it introduces Compunnel Digital's partnership with Profisee to offer modernized MDM solutions tailored for mid-sized organizations.
Gaining Data Center Cooling Efficiency Through Airflow ManagementUpsite Technologies
This presentation highlights research from Upsite Technologies regarding the latest best in data center airflow management and cooling, including steps to improvement. Originally delivered by Upsite President John Thornell at the AFCOM Boston-New England Chapter meeting.
This document discusses real-time big data applications and provides a reference architecture for search, discovery, and analytics. It describes combining analytical and operational workloads using a unified data model and operational database. Examples are given of organizations using this approach for real-time search, analytics and continuous adaptation of large and diverse datasets.
ScottMadden has developed an approach for analyzing data center requirements and driving improvements in existing data center retrofits. Our approach takes into account the technological requirements, the physical attributes of a data center, and the requirements for a rigorous measurement and verification program needed to ensure improvements actually capture the energy efficiently gains and the resultant greenhouse gas reductions.
Our approach addresses the latest trends in data center management such as virtualization and cloud computing and provide a framework for developing metrics needed to drive changes in data center performance.
Microsoft Dynamics 365 Business Central | Inovar ConsultingInovar Tech
With Dynamics 365 Business Central, no longer have to store data in separate systems that don’t work together, it’s all integrated. Contact us for more details or visit us at https://www.inovarconsulting.co.in/.
Power BI data modeling is the process of creating a relationship between common columns of multiple tables. If the column headings are the same across tables, then Power BI auto-detects the relationship between tables. Using these columns, we can merge the tables as well.
Eliminating Data Center Hot Spots: An Approach for Identifying and Correcting Lost Air
Data center cooling is a hot topic. But, when you consider the challenges associated with cooling the latest generation servers, the growing cost of infrastructure equipment, and the risks associated with data center hot spots brought on by high-density clusters and premature hardware failure, it's easy to understand the focus.
To view the recorded webinar event, please visit http://www.42u.com/data-center-hot-spots-webinar.htm
SAP offers a wide range of business applications, database and technology solutions, analytics tools, cloud offerings, and mobile services. Key application areas include financial management,
The digital transformation of CPG and manufacturingCloudera, Inc.
Both CPG (Consumer Packaged Goods) and manufacturing industries face similar challenges: in order to differentiate and innovate, they need to draw insight from the one thing they both have in abundance - data. The source of the data may be different; the opportunity is always innovation and differentiation. For CPG, forever changing buyer expectations must flow into product development and sales. For both CPG and manufacturing, Industry 4.0 promises improved efficiency, lower costs, and higher revenues. Becoming data-driven is the key for both industries and requires clever combination of machine learning, analytics and cloud for success.
In this webinar, business strategist Frank Vullers will discuss how Cloudera's platform is central to this century’s industrial revolution: the digital transformation of the CPG and manufacturing industries.
The document discusses the benefits of exercise for mental health. Regular physical activity can help reduce anxiety and depression and improve mood and cognitive function. Exercise causes chemical changes in the brain that may help alleviate symptoms of mental illness and boost overall mental well-being.
SAP is a leading provider of enterprise resource planning (ERP) software. It offers integrated business management software and services that can be used by all business functions across industries. Key features of SAP include its centralized relational database, client/server architecture with three application tiers, and focus on common business modules like finance, supply chain management, and human resources. SAP software solutions include SAP ERP, SAP CRM, SAP SCM, and SAP SRM. SAP NetWeaver provides integration tools to connect people, information, and business processes across the enterprise. Master data in SAP includes consistent, standardized records for customers, materials, and employees that are shared across modules.
Digital Twin at-a-glance, Yong @SEMIforteYong Wang
Digital twins are virtual representations of physical objects or systems which are expected to proliferate greatly by 2020. They allow real-time data from sensors to be integrated into virtual models to enable optimization and self-monitoring. For manufacturing, digital twins of products, factories and performance can be created using data from design, building and operations to enable benefits like smart scheduling, preventative maintenance and maximized output. The semiconductor industry is well-positioned to benefit from digital twins as it already collects extensive operational data and has the computing power required.
Internet of Things: Understanding the Business ImpactKony, Inc.
The document discusses the impact of the Internet of Things (IoT). It defines IoT as connecting physical objects to the digital world through sensors and internet connectivity. This allows objects to communicate and interact to simplify tasks, improve business processes, and raise efficiency. The document then outlines several key enabling technologies behind IoT like RFID, sensors, and nanotechnology. It also discusses challenges of IoT like security, standards, and data management, as well as benefits such as better decision making through analytics of large data sets. Overall, the document provides a high-level overview of what IoT is, how it works, and its implications.
Howard Cheng is the Vice President of Asia Pacific for Analog Devices. The document discusses Analog Devices' perspective on IoT and how they are well-positioned for value creation in IoT through their expertise in signal processing, sensors, power management, and connectivity, as well as their work in algorithms, domain knowledge, and data analytics. It provides examples of how Analog Devices is helping shape the future of IoT in areas like smart factories, smart healthcare, and smart cities through their technologies and partnerships with customers.
Best practices for connecting medical devices to the cloudGuy Vinograd ☁
This document discusses best practices for connecting medical devices to the cloud. It outlines the key components of a typical medical IoT solution including patients, doctors, nurses, administrators, medical devices, and backend platforms. It then discusses seven design dilemmas around where to place logic and data, choosing IoT gateways, connectivity options, defining message formats and protocols, handling offline scenarios, and determining the minimum viable product. The document recommends leveraging an existing IoT platform to avoid the long and expensive process of building all components from scratch, and argues that for medical device manufacturers, owning their own platform may be preferable to relying on a third party.
Palestra sobre Internet das coisas apresentada por mim e Vinicius Souza no TDC 2014 (The Developers Conference)
Vídeo da palestra pode ser visto aqui http://youtu.be/tmGSZ7Yif2w
This document discusses the Internet of Things (IoT) in manufacturing. It describes how IoT allows manufacturers to remotely monitor and manage equipment, optimize production processes, and implement predictive maintenance to reduce costs. IoT connects physical devices and sensors to collect and analyze data that provides insights into operations, customers, and equipment performance.
Cloud & AI Master Class: IA na indústria de ManufaturaBrunaLanzarini1
Digital transformation is changing the manufacturing industry by focusing on customer experience, innovation, and service-based business models. Manufacturers are using AI and IoT technologies to enhance customer experience, innovate faster through connected products and services, and create new service-based revenue streams. These technologies help optimize production processes, enable real-time decision making, improve safety, and provide predictive maintenance to reduce costs and increase efficiencies. Reference architectures on Azure show how AI and IoT can be applied to remote monitoring, predictive maintenance, and connected field service to transform factories of the future.
Best practices for connecting medical devices to the cloudGuy Vinograd ☁
1) The document discusses best practices for connecting medical devices to the cloud, including considerations around where to store data and logic, selecting an IoT gateway and connectivity, and protocols.
2) It presents common IoT design dilemmas such as balancing cloud storage vs offline needs and mitigating offline scenarios.
3) The TBBTM platform is introduced as an ownable medical IoT platform provided by Softimize that can help companies leverage common services and functionality to build their IoT solutions more quickly.
This document provides an overview of the Internet of Things (IoT). It begins with definitions of IoT and describes how it works by collecting data from sensors and devices, sending that data to the cloud for processing, and delivering useful information to users. The document outlines the history and growth of IoT, as well as its architecture, advantages like improved efficiency and security, challenges around data and privacy, and applications in various industries like healthcare, agriculture, and smart homes. Finally, it discusses common IoT tools and platforms like Raspberry Pi and Arduino.
Smart Wearable medical Device and Implant For Patient Monitoring - GSLab.pdfGslab1
Healthcare | Internet Of ThingsThere is a revolution happening in the digital health space.
Special purpose remote monitoring and evidence-based
applications are on the rise. Our customer wanted to design
& develop an innovative medical device which would monitor
key health parameters of critical patients in real-time.
Great Software Laboratory was chosen to be a key product
development partner for our rich experience and expertise in
embedded systems, IoT and software engineering.
The document discusses how Kepware enables Industry 4.0 and the Internet of Things (IoT) by providing connectivity solutions that allow industrial devices and systems to communicate and share data in real-time. Kepware's platform collects data from a variety of industrial assets via various protocols and sends the data to analytics tools like Splunk for monitoring, predictive maintenance, and other applications. The document also outlines Kepware's support services and how their solutions can provide benefits across different industrial sectors like manufacturing, building automation, and intelligent lighting systems.
InfiSense - Overview and Example Applications for LoRaWAN IoTTim Guiterman
A brief overview of the InfiSense software platform, including illustrative use cases for low cost, long-life, long-range wide area network (LoRaWAN), and a sampling of devices and pricing.
Internet of Things - An Architectural PerspectiveGaurav Awasthi
The document discusses the Internet of Things from an architectural perspective. It defines IoT as the interconnection of devices, sensors and actuators that share data across platforms through a unified framework. The primary goal is to create situational awareness and make intelligent decisions based on real-time analytics of sensor data. Key components include devices, connectivity, platforms and applications. A reference architecture is presented for connected hospitals using IoT, comprising devices, gateways, messaging, data storage, analytics and external interfaces. Device management and deployment architecture on AWS are also overviewed.
The DAN or Data Access Network is a newly emerging “best practice” for passive monitoring of mission critical networks that solves real access problems, improves network performance and uptime, and saves capital, operation and maintenance costs. A DAN is a combination of out-of-band data access switching plus passive monitoring instrumentation to enable required security, compliance, forensics review, application performance, VoIP QoS, uptime and other network management tasks. Data is acquired from multiple SPAN ports or taps and multicast to multiple tools, aggregated to a few consolidated tools, and filtered or divided across many instances of the same tools. The DAN may be thought of as a “data socket” providing immediate access for ad hoc tool deployment without impact to the production network and outside of the scope of configuration management policies. Data Access Networking is a concept whose time has come due to a recent confluence of factors including enhanced fiduciary responsibilities, heightened threats to network security, real convergence of voice, video and data networks, plus greater economic dependency on network uptime and performance. This Podcast recommends the DAN as a solution to those who suffer real problems like too many tools and not enough span ports, too many links to monitor and not enough money to deploy distributed tools, or too much traffic that threatens to overflow even the highest capacity tool. For more details, visit http://www.gigamon.com.
This document provides guidance for Microsoft Partners to develop an Internet of Things (IoT) practice. It discusses IoT growth statistics and trends, industries using IoT solutions, and how to identify opportunities. It also outlines a strategy checklist, marketing materials to support IoT pitches, and best practices for building an IoT practice. Some of the key challenges highlighted include the multidisciplinary nature of IoT, high bench costs due to a lack of talent availability, and ensuring an effective partner ecosystem.
is an innovative provider of “Internet of Things” based products and solutions. Interoperability lies at the heart of everything we do and we aim to be the organization which develops solutions to provide more straight forward interaction between physical and virtual world
Hyperthings is an innovative provider of “Internet of Things” based products and solutions. Interoperability lies at the heart of everything we do and we aim to be the organization which develops solutions to provide more straight forward interaction between physical and virtual world
Integrierte Anwendungsfälle - Von der einzelnen Nachricht, über zeitnahe Anal...AWS Germany
In der Sessions zum Thema Integrierte Anwendungsfälle werden folgende Punkte besprochen:
Gewinnen Sie relevante Informationen aus Ihren Gerätedaten mit agilen Business Intelligence Lösungen
Integrieren Sie Ihre Gerätenetze mit software-gestützten Geschäftsprozessen
Ermöglichen Sie automatisierte Entscheidungen für autonome Netzwerke mit Machine Learning
Informieren Sie sich jetzt über das kostenlose Nutzungskontingent von AWS: http://amzn.to/1Qh9stj
The document provides an overview of the Internet of Things (IoT). It defines IoT as a network of physical objects embedded with sensors, software and network connectivity that enables them to collect and exchange data. The document discusses what types of physical and virtual things can be connected in an IoT system and how they can collect and share data. It also examines common communication protocols used in IoT like UART, SPI, I2C and CAN that allow different devices to connect and exchange information over a network.
Integrated smart sensors provide continuous process and diagnostic data to increase productivity, minimize downtime, and enable faster product changeovers. Smart sensors offer advanced diagnostic information to facilitate preventative maintenance and reduce unplanned downtime. Multiple sensor profiles stored in programmable logic controllers allow fast changeovers between products to increase throughput by 5-10%.
Similar to NTK 2015: Internet of things track (IoT) - Smart Home (20)
Migrating your Windows Store (8) applications to version 8.1Andrej Tozon
Slides from my NTK14 talk with guidance on how update your existing Windows Store app projects that currently target Windows 8, that they work with the latest version - Windows 8.1. What has changed, both in framework and default Visual Studio templates? What new controls can we use? What new features are built in existing controls? In Slovenian language.
Developing multimedia applications for Windows 8.x and Windows PhoneAndrej Tozon
Slides from my NTK14 talk on developing multimedia applications for Windows 8.x (+ integrating and connecting with Live SDK to provide a continuous client experience). In Slovenian language.
Migrating to Windows Store apps development and beyondAndrej Tozon
The document provides guidelines for designing a proper "Metro" user interface. It discusses using XAML and C# with WinRT to build apps for Windows 8 that can run across devices. It also mentions using HTML5, JavaScript and asynchronous programming with C# 5.0. Visual elements like app bars, flyouts, context menus and dialog boxes are covered. The document emphasizes a consistent, intuitive and accessible user experience across all Windows platforms and devices.
Designing windows 8 metro applicationsAndrej Tozon
The document discusses design principles for Metro applications on Windows 8. It outlines several key principles: focus on high quality pixel-level design; prioritize content over graphical elements; ensure interactions are fast and fluid; go beyond real-world metaphors to create an authentically digital experience; and leverage the Windows ecosystem. It also lists eight characteristics that define a Metro-style app, such as using the Metro design style, connecting to the cloud, and embracing Metro principles.
My Silverlight and NUI talk from the recent NT konference in Portorož, Slovenia. In Slovenian language. References:
* Camdoodle (http://camdoodle.codeplex.com/)
* PuzzleTouch (http://www.puzzletouch.com/)
* Silverlight 4, WPF 4 and Windows Phone 7 Multi-Touch Manipulation (http://multitouch.codeplex.com/)
* Bug Smash (http://adamkinney.com/labs/bugcamsmash/)
* SLAR Toolkit (http://slartoolkit.codeplex.com/)
This document discusses Reactive Extensions (Rx), a library for composing asynchronous and event-based programs using observable collections. It explains that Rx provides the IObservable and IObserver interfaces for pushing and pulling data, similar to IEnumerable and IEnumerator but optimized for asynchronous programming. The document provides information on where to obtain Rx, describes some of its operators like Concat and SelectMany, and shares additional resources for learning more about Rx.
Alt. GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using ...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.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
Maruthi Prithivirajan, Head of ASEAN & IN Solution Architecture, Neo4j
Get an inside look at the latest Neo4j innovations that enable relationship-driven intelligence at scale. Learn more about the newest cloud integrations and product enhancements that make Neo4j an essential choice for developers building apps with interconnected data and generative AI.
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.
Pushing the limits of ePRTC: 100ns holdover for 100 daysAdtran
At WSTS 2024, Alon Stern explored the topic of parametric holdover and explained how recent research findings can be implemented in real-world PNT networks to achieve 100 nanoseconds of accuracy for up to 100 days.
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: The Art of Triggers and Actions in FMESafe Software
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
Dr. Sean Tan, Head of Data Science, Changi Airport Group
Discover how Changi Airport Group (CAG) leverages graph technologies and generative AI to revolutionize their search capabilities. This session delves into the unique search needs of CAG’s diverse passengers and customers, showcasing how graph data structures enhance the accuracy and relevance of AI-generated search results, mitigating the risk of “hallucinations” and improving the overall customer journey.
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdfPaige Cruz
Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack.
While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
I, a former op, would like to extend an invitation to all application developers to join the observability party will share these foundational concepts to build on:
UiPath Test Automation using UiPath Test Suite series, part 5DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 5. In this session, we will cover CI/CD with devops.
Topics covered:
CI/CD with in UiPath
End-to-end overview of CI/CD pipeline with Azure devops
Speaker:
Lyndsey Byblow, Test Suite Sales Engineer @ UiPath, Inc.
Enchancing adoption of Open Source Libraries. A case study on Albumentations.AIVladimir Iglovikov, Ph.D.
Presented by Vladimir Iglovikov:
- https://www.linkedin.com/in/iglovikov/
- https://x.com/viglovikov
- https://www.instagram.com/ternaus/
This presentation delves into the journey of Albumentations.ai, a highly successful open-source library for data augmentation.
Created out of a necessity for superior performance in Kaggle competitions, Albumentations has grown to become a widely used tool among data scientists and machine learning practitioners.
This case study covers various aspects, including:
People: The contributors and community that have supported Albumentations.
Metrics: The success indicators such as downloads, daily active users, GitHub stars, and financial contributions.
Challenges: The hurdles in monetizing open-source projects and measuring user engagement.
Development Practices: Best practices for creating, maintaining, and scaling open-source libraries, including code hygiene, CI/CD, and fast iteration.
Community Building: Strategies for making adoption easy, iterating quickly, and fostering a vibrant, engaged community.
Marketing: Both online and offline marketing tactics, focusing on real, impactful interactions and collaborations.
Mental Health: Maintaining balance and not feeling pressured by user demands.
Key insights include the importance of automation, making the adoption process seamless, and leveraging offline interactions for marketing. The presentation also emphasizes the need for continuous small improvements and building a friendly, inclusive community that contributes to the project's growth.
Vladimir Iglovikov brings his extensive experience as a Kaggle Grandmaster, ex-Staff ML Engineer at Lyft, sharing valuable lessons and practical advice for anyone looking to enhance the adoption of their open-source projects.
Explore more about Albumentations and join the community at:
GitHub: https://github.com/albumentations-team/albumentations
Website: https://albumentations.ai/
LinkedIn: https://www.linkedin.com/company/100504475
Twitter: https://x.com/albumentations
UiPath Test Automation using UiPath Test Suite series, part 6DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
Topics covered:
What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Sudheer Mechineni, Head of Application Frameworks, Standard Chartered Bank
Discover how Standard Chartered Bank harnessed the power of Neo4j to transform complex data access challenges into a dynamic, scalable graph database solution. This keynote will cover their journey from initial adoption to deploying a fully automated, enterprise-grade causal cluster, highlighting key strategies for modelling organisational changes and ensuring robust disaster recovery. Learn how these innovations have not only enhanced Standard Chartered Bank’s data infrastructure but also positioned them as pioneers in the banking sector’s adoption of graph technology.
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
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.
3. Source: Gartner
It can seem big It can seem noisy It can be confusing
So many devices and so much data So many options So many possible decisions
How (where) do we get started?
Who can really help us?
Do we need to start over?
Should we wait?
What technology do we need
4. PHARMACY
The Internet of Things – Pharma
Customer Service
Monitor device data to
make more timely
health decisions, such
as adjusting dosages
Enable
advanced
product
tracking and
authentication
to prevent
counterfeits
Develop better
products, faster,
informed by a much
larger data set based
on patient outcomes
R&D
Anticipate medical device
maintenance needs, and alert
patients to schedule a doctor
visit for replacement or repair
Healthcare
Provider
Monitor medical device functionality for
better customer service, reduced risk, and
insight to improve product designs
Manage equipment
remotely, using
appropriate KPIs
Reduce machine downtime
with condition-based
maintenance alerts
Patient Home
DistributionManufacturing
Aggregate and
correlate data from
disparate medical
devices with
medications and
health outcomes for
advanced insight
5. The Internet of Things – Manufacturing
GLOBAL
OPERATIONS
I can see my
production line
status and
recommend
adjustments to
better manage
operational cost.
I know when to
deploy the right
resources for
predictive
maintenance to
minimize equipment
failures and reduce
service cost.
I gain insight into
usage patterns from
multiple customers
and track equipment
deterioration,
enabling me to
reengineer products
for better
performance.
MANUFACTURING PLANT
Aggregate product data,
customer sentiment, and
other third-party
syndicated data to identify
and correct quality issues.
Manage equipment remotely, using
temperature limits and other settings
to conserve energy and reduce costs.
Monitor production flow in near-real
time to eliminate waste and
unnecessary work in process inventory.
GLOBAL FACILITY INSIGHT
Implement condition-
based maintenance
alerts to eliminate
machine down-time
and increase
throughput.
THIRD-PARTY LOGISTICS
Provide cross-channel visibility into inventories
to optimize supply and reduce shared costs in
the value chain.
CUSTOMER SITE
Transmits operational information to the
partner (e.g. OEM) and to field service
engineers for remote process
automation and optimization.
Management
R&D
Field Service
20. • Windows 10 for IoT
• Način „Headed“ ali „Headless“
• Programski model UWP – Universal Windows Platform
• Brez namizja
• Vaša aplikacija UWP predstavlja celovito izkušnjo
Razvoj
21. Universal Windows Platform
• Converged APIs, write ONE Universal App and target all Windows 10 editions
• Scale and get higher ROI by selling same App to all Windows 10 editions
Languages
• C++ /CX
• C#, VB
• JS
• Python
• Node.js
APIs
• WinRT
• Win32
• .NET
• Wiring
Deployment and
Execution
• APPX
• Xcopy
• App Isolation
UI Frameworks
• HTML
• Xaml
• DirectX
Tools
• Visual Studio
• PowerShell
22.
23. Predictive Analytics
Predicting future performance from historical data
Recommenda-
tion engines
Advertising
analysis
Weather
forecasting for
business
planning
Social network
analysis
IT infrastructure
and web app
optimization
Legal
discovery and
document
archiving
Pricing analysis
Fraud
detection
Churn
analysis
Equipment
monitoring
Location-based
tracking and
services
Personalized
Insurance
Predictive analytics
should address the
likelihood of something
happening in the future,
even if it is just an instant
later…