Manufacturing companies have traditionally
had an on-again-off-again relationship with
technology. However, the paradigm shift driven
by global manufacturing and distribution,
combined with rapid digital innovation, is
changing this equation. Deloitte’s 2016 MHI
survey reveals that 83% of manufacturing
organizations believe investing in key digital
technologies such as IoT, robotics, Big
Data, cloud computing, etc. will be key to
competitive advantage in the near future.1
A Blockchain-Based Framework for Apparel & Footwear Supply Chain TraceabilityCognizant
Distributed ledger technology solutions enable fashion brands and retailers to improve supply-chain visibility across their diverse ecosystems, helping them to communicate product provenance to partners and customers, as well as mitigate environmental and reputational risk.
Selecting a Software Solution: 13 Best Practices for Media and Entertainment ...Cognizant
When selecting commercial off-the-shelf software (COTS), companies in the increasingly digitally-based media and entertainment industry need to develop a detailed advance plan, obtain support from all stakeholders and continuously monitor vendor performance against critical expectations, best practices and business requirements.
To implement a manufacturing execution system (MES) across a global manufacturer's numerous sites, establish a core baseline solution as a basis for global rollout, use the implementation as an opportunity for process improvement and optimization, and choose carefully between a phased or a big bang deployment.
Operational Excellence through Digital in Manufacturing IndustriesCapgemini
Digital Tools Can Help Manufacturing Companies Cut Costs by 30%
Manufacturing companies have historically had an on-off relation with technology. Most have aggressively adopted traditional technologies such as Enterprise Resource Planning (ERP). However, they have been slow in adopting recent digital technologies such as big data analytics, real-time order confirmation, Web-EDI among others. Moreover, most have adopted technologies to varying extent creating a connectivity gap in their operations. We believe digital technologies will help manufacturing companies in eliminating this gap.
Our research and project experience indicate that by adopting digital tools, manufacturing companies can cut costs by as much as 30% by enabling savings on capital costs, labor field force among other key cost elements.
The Top Three Product Lifecycle Management Trends Taking Shape Across the Dig...Cognizant
By embracing product data as a service, microservices and emerging blockchain technology, product development organizations can more effectively innovate and compete in the dynamic global marketplace.
From Data to Insights: How IT Operations Data Can Boost QualityCognizant
By leveraging highly-analyzed operational data - the voice of customers, machines and tests - quality assurance (QA) and IT groups can derive major gains in quality of apps and in user experience.
A Blockchain-Based Framework for Apparel & Footwear Supply Chain TraceabilityCognizant
Distributed ledger technology solutions enable fashion brands and retailers to improve supply-chain visibility across their diverse ecosystems, helping them to communicate product provenance to partners and customers, as well as mitigate environmental and reputational risk.
Selecting a Software Solution: 13 Best Practices for Media and Entertainment ...Cognizant
When selecting commercial off-the-shelf software (COTS), companies in the increasingly digitally-based media and entertainment industry need to develop a detailed advance plan, obtain support from all stakeholders and continuously monitor vendor performance against critical expectations, best practices and business requirements.
To implement a manufacturing execution system (MES) across a global manufacturer's numerous sites, establish a core baseline solution as a basis for global rollout, use the implementation as an opportunity for process improvement and optimization, and choose carefully between a phased or a big bang deployment.
Operational Excellence through Digital in Manufacturing IndustriesCapgemini
Digital Tools Can Help Manufacturing Companies Cut Costs by 30%
Manufacturing companies have historically had an on-off relation with technology. Most have aggressively adopted traditional technologies such as Enterprise Resource Planning (ERP). However, they have been slow in adopting recent digital technologies such as big data analytics, real-time order confirmation, Web-EDI among others. Moreover, most have adopted technologies to varying extent creating a connectivity gap in their operations. We believe digital technologies will help manufacturing companies in eliminating this gap.
Our research and project experience indicate that by adopting digital tools, manufacturing companies can cut costs by as much as 30% by enabling savings on capital costs, labor field force among other key cost elements.
The Top Three Product Lifecycle Management Trends Taking Shape Across the Dig...Cognizant
By embracing product data as a service, microservices and emerging blockchain technology, product development organizations can more effectively innovate and compete in the dynamic global marketplace.
From Data to Insights: How IT Operations Data Can Boost QualityCognizant
By leveraging highly-analyzed operational data - the voice of customers, machines and tests - quality assurance (QA) and IT groups can derive major gains in quality of apps and in user experience.
Cognizant -- New Business Models through CollaborationsPistoia Alliance
The Pistoia Alliance Conference in April 2011 included a series of 10-minute "lightning talks" from vendors about what they think pharma will look like in 2020. This presentation was delivered by Jack Angier of Cognizant.
Is Your Organization Ready to Embrace a Digital Twin?Cognizant
Before industrial organizations invest in technologies for creating data-driven product design strategies, they need to reassess their operational maturity and technology readiness to compete in a world where the virtual and physical seamlessly fuse as digital twins.
Flight Plan Design + Blockchain (Fashion / Retail)Gendry Morales
In this talk, I unpacked how we think about Design in Blockchain. Cover some examples in Retail/Fashion, what we are up to at Flight Plan http://theflightplan.io/ and how we approach blockchain ideas from a human centred design perspective.
Using Adaptive Scrum to Tame Process Reverse Engineering in Data Analytics Pr...Cognizant
Organizations rely on analytics to make intelligent decisions and improve business performance, which sometimes requires reproducing business processes from a legacy application to a digital-native state to reduce the functional, technical and operational debts. Adaptive Scrum can reduce the complexity of the reproduction process iteratively as well as provide transparency in data analytics porojects.
Business plan for CBC(Cognizant Business Consulting) to foray into the Gamification Enterprise Products & Consulting market. Worked closely with senior management to develop actionable strategy addressing all internal & external stakeholders
IBM Cognos - IBM informations-integration för IBM Cognos användareIBM Sverige
Hur kan användare av IBM Cognos analys- och rapporteringsfunktioner känna 100% tillförsikt till den information de analyserar? De måste kunna se och få förklaringar till vad informationen betyder, var den kommer ifrån och vilken status den har. Lösningen på denna typ av krav, och fler därtill, är IBM InfoSphere Information Server, som är marknadens mest kompletta plattform för informationsintegration. Denna presentation hölls på IBM Cognos Performance 2010 av Mikael Sjöstedt, InfoSphere Specialist, IBM
4 Reasons to Digitize Manufacturing Workflows with No Code Platforms.pptxArpitGautam20
Here are 4 reasons to digitize your existing manufacturing workflows with the help of powerful Ai-driven No Code Platforms for enterprises. https://natifi.ai/4-reasons-to-digitize-manufacturing-workflows-with-no-code-platforms/
Firstsource helped the a leading US mortgage provider to automate high volume, repetitive tasks in its loan set-up, guaranteeing complete data accuracy and improving agent productivity by 250%.
¿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.
Increasing Business Productivity in Connected Enterprises and an Always-On Di...Cognizant
To remain competitive, businesses must enhance productivity through a connected enterprise set of solutions. We offer a roadmap and set of tools for insuring that Gen-Now workers obtain the stateless, limitless and boundaryless computing that they need and expect in an always-on digital business world.
Customize Transformation For A Personalized ExperienceLCDF
Shifting to a Customer-centric
Business Model :-
Many businesses already see the writing on the wall: Only 8 percent of companies
say their current business model will remain economically viable if their industry
keeps digitizing at its current course and speed.2 But to become a modern digital
business, you must go beyond just digitizing old business models and instead use
technology to align your people, processes, and technology around entirely new ways
of serving customers.
By placing the customer at the center of everything you do, you can create products,
services, and experiences that are more valuable to your buyer, allowing you to stand
out in an increasingly commoditized world, drive more profit, and generate more
brand loyalty.
Cognizant -- New Business Models through CollaborationsPistoia Alliance
The Pistoia Alliance Conference in April 2011 included a series of 10-minute "lightning talks" from vendors about what they think pharma will look like in 2020. This presentation was delivered by Jack Angier of Cognizant.
Is Your Organization Ready to Embrace a Digital Twin?Cognizant
Before industrial organizations invest in technologies for creating data-driven product design strategies, they need to reassess their operational maturity and technology readiness to compete in a world where the virtual and physical seamlessly fuse as digital twins.
Flight Plan Design + Blockchain (Fashion / Retail)Gendry Morales
In this talk, I unpacked how we think about Design in Blockchain. Cover some examples in Retail/Fashion, what we are up to at Flight Plan http://theflightplan.io/ and how we approach blockchain ideas from a human centred design perspective.
Using Adaptive Scrum to Tame Process Reverse Engineering in Data Analytics Pr...Cognizant
Organizations rely on analytics to make intelligent decisions and improve business performance, which sometimes requires reproducing business processes from a legacy application to a digital-native state to reduce the functional, technical and operational debts. Adaptive Scrum can reduce the complexity of the reproduction process iteratively as well as provide transparency in data analytics porojects.
Business plan for CBC(Cognizant Business Consulting) to foray into the Gamification Enterprise Products & Consulting market. Worked closely with senior management to develop actionable strategy addressing all internal & external stakeholders
IBM Cognos - IBM informations-integration för IBM Cognos användareIBM Sverige
Hur kan användare av IBM Cognos analys- och rapporteringsfunktioner känna 100% tillförsikt till den information de analyserar? De måste kunna se och få förklaringar till vad informationen betyder, var den kommer ifrån och vilken status den har. Lösningen på denna typ av krav, och fler därtill, är IBM InfoSphere Information Server, som är marknadens mest kompletta plattform för informationsintegration. Denna presentation hölls på IBM Cognos Performance 2010 av Mikael Sjöstedt, InfoSphere Specialist, IBM
4 Reasons to Digitize Manufacturing Workflows with No Code Platforms.pptxArpitGautam20
Here are 4 reasons to digitize your existing manufacturing workflows with the help of powerful Ai-driven No Code Platforms for enterprises. https://natifi.ai/4-reasons-to-digitize-manufacturing-workflows-with-no-code-platforms/
Firstsource helped the a leading US mortgage provider to automate high volume, repetitive tasks in its loan set-up, guaranteeing complete data accuracy and improving agent productivity by 250%.
¿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.
Increasing Business Productivity in Connected Enterprises and an Always-On Di...Cognizant
To remain competitive, businesses must enhance productivity through a connected enterprise set of solutions. We offer a roadmap and set of tools for insuring that Gen-Now workers obtain the stateless, limitless and boundaryless computing that they need and expect in an always-on digital business world.
Customize Transformation For A Personalized ExperienceLCDF
Shifting to a Customer-centric
Business Model :-
Many businesses already see the writing on the wall: Only 8 percent of companies
say their current business model will remain economically viable if their industry
keeps digitizing at its current course and speed.2 But to become a modern digital
business, you must go beyond just digitizing old business models and instead use
technology to align your people, processes, and technology around entirely new ways
of serving customers.
By placing the customer at the center of everything you do, you can create products,
services, and experiences that are more valuable to your buyer, allowing you to stand
out in an increasingly commoditized world, drive more profit, and generate more
brand loyalty.
How smart, connected products are transforming companies presentation (edit...Fahmy Amrillah
Information technology is revolutionizing products. Once composed solely of mechanical and electrical parts, products have become complex systems that combine hardware, sensors, data storage, microprocessors, software, and connectivity in myriad ways. These “smart, connected products”—made possible by vast improvements in processing power and device miniaturization and by the network benefits of ubiquitous wireless connectivity—have unleashed a new era of competition.
by Michael E. Porter and James E. Heppelmann
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.
Albiorix Technology brings the top 10 digital transformation trends to watch out for in 2023 that you can adopt to improve your business performance.
For More Information: https://www.albiorixtech.com/blog/digital-transformation-trends/
Integration is a crucial part of your organization’s digital transformation journey. With an integrated digital business, you can connect your business processes with one another for better collaboration and communication.
Digital Transformation:
What is it?
How to apply this process in your business?
Digital Transformation in the Manufacturing Industry
Statistics
How is influencing the digital conversion in the business?
How is it important?
In the digital-centric business environments of today, the integration of cloud computing with progressive software development stands as a key driver in reshaping IT infrastructures.
Read this Article here: https://ciente.io/blogs/cloud-computing-and-software-a-dynamic-duo-for-it-transformation/
Get some Articles here: https://ciente.io/
Follow for more Technical Tech talk: https://ciente.io/techtalk/
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.
Enabling a Big Version for 5G with Small CellsPercy-Mitchell
Industry reports suggest that there will be approximately 2.5 billion 5G users by 2025, i.e., around 40% of the world’s population. To gear up for this momentous shift, communications service providers must upgrade and modernize networks and prepare them for the 5G era. Powered by small cells, Ultra Dense Networks (UDNs) will be the cornerstone of 5G networks, driving multiple 5G use cases, including smart cities, Industry 4.0, Industrial Internet of Things (IIoT), augmented reality (AR), virtual reality (VR), and more.
The Business Conundrum Facing Manufacturers
Manufacturing companies have traditionally
had an on-again-off-again relationship with
technology. However, the paradigm shift driven
by global manufacturing and distribution,
combined with rapid digital innovation, is
changing this equation.
Enabling a Big Vision for 5G with Small Cells - CyientPercy-Mitchell
5G promises to transform the way we live and work, offering extremely low latency of less than 10 milliseconds coupled with ultra-high-speed broadband networks. And small cells are an indispensable component of next-generation networks
IoT and equipment connectivity are vital necessities for original equipment manufacturers, owners, and operators who want to maintain or increase market share.
This slide introduces Cyient's FiOps services offering and outlines its values, the architecture approach to delivery, and the key thought leadership of Cyient will enable the capability.
Overcoming Challenges in FTTx Deployment- whitepager - CyientPercy-Mitchell
Telecom service providers today must meet the need for high-speed data, flawless phone, and VoIP calls, and high-quality video streaming to maintain the competitive edge. This is possible by investing in developing future-proof fixed-line telephone architecture. With the right combination of technical and human skills and market factors, FTTx can deliver broadband speeds of up to 100 Mbps which is 20 to 100 times faster than a conventional cable modem or DSL connection.
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
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
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.
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.
"Impact of front-end architecture on development cost", Viktor TurskyiFwdays
I have heard many times that architecture is not important for the front-end. Also, many times I have seen how developers implement features on the front-end just following the standard rules for a framework and think that this is enough to successfully launch the project, and then the project fails. How to prevent this and what approach to choose? I have launched dozens of complex projects and during the talk we will analyze which approaches have worked for me and which have not.
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/
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.
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.
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
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.
2. 2
Contents
01
01
01
02
03
04
05
05
09
09
09
The Business Conundrum
Facing Manufacturers
Driving a Digital Overhaul
What is a Digital Operations
Center?
What Does a DOC Help
Integrate?
Digital Operations Center:
Understanding the
Technology Stack
Digital Transformation
Life-Cycle: Enabling New
Product Capabilities
Eight Steps to Successfully
Building a DOC
Enabling Digital
Transformation through DOC:
A Use Case
Making DOC an Integral Part
of the Digital Strategy
Footnotes
About the Author
About Cyient 10
3. 01
The Business Conundrum Facing
Manufacturers
Manufacturing companies have traditionally
had an on-again-off-again relationship with
technology. However, the paradigm shift driven
by global manufacturing and distribution,
combined with rapid digital innovation, is
changing this equation. Deloitte’s 2016 MHI
survey reveals that 83% of manufacturing
organizations believe investing in key digital
technologies such as IoT, robotics, Big
Data, cloud computing, etc. will be key to
competitive advantage in the near future.1
Despite this, it is still not uncommon to find
manufacturers relying on disparate and siloed
systems, bulky spreadsheets, PowerPoint
presentations, and traditional data tools for
managing their day-to-day operations. Not
only does this require extensive manual effort
to curate information, but it also takes the
focus away from core strategic work such
as data-based decision-making. The result?
Errors and inefficiencies abound. To stay
competitive in the evolving manufacturing
landscape, organizations must prevent
costly delays, avoid errors, and optimize
costs. Most importantly, they must increase
market responsiveness by reacting quickly to
challenges and problems in their end-to-end
operations, supply chain, and production lines.
Companies must, therefore, revisit age-old
manufacturing strategies, redesign their
traditional manufacturing approaches and
value chain, and retrain their workforce to
usher complete reinvention of manufacturing
operations. To be successful, all of this must
be done on a scale resembling a new industrial
revolution or digital overhaul.
Driving a Digital Overhaul
While the shift to the industrial internet is
gaining rapid traction globally, much of its
focus is centered on producing connected
products and consumer-centric services.
How digital technologies can help
manufacturers transform internal operations
is an aspect that is not often discussed or
explored.
Businesses today require a constant and real-
time flow of operational and performance-
related information to improve product
development, drive innovation, and streamline
asset and supply chain management.
The relationship between how a product
performs and how it affects user behavior
needs to be understood. Additionally, the
performance of marketing campaigns, social
media trends, and even news and weather
conditions may affect a companies’ bottom
line. This dynamic environment necessitates
an enterprise-wide digital transformation.
The key to achieving this is the establishment
and operationalization of a digital operations
center.
What is a Digital Operations Center?
A digital operations center (DOC) is a next-
generation network operations center
(NOC). It gives organizations the ability to
access information with extensive visibility
across multiple data sources and business
functions, bringing broader intelligence to
day-to-day operations, thereby enabling
greater collaboration among stakeholders
across the value chain. The four operating
pillars of a digitally transformed manufacturing
organization enabled by a DOC include:
• Connecting product, manufacturing assets,
and supply chain to a digital platform and
offering anytime, anywhere data-driven
digital insights.
• Executing processes on a resilient digital
platform that is secure, available on demand,
and easy to set up and use.
• Creating a digital workforce platform
of connected workers, using advanced
monitoring, search, and analytics tools.
• Proactively managing a digital innovation
ecosystem comprising multiple partners, to
incorporate the latest technologies.
4. 02
What Does a DOC Help Integrate?
A DOC integrates all the live and synthetic
data and analytics channels relevant to your
business’ performance, allowing customizable
views for every business function. Figure
1 depicts how a comprehensive DOC can
function as an all-pervasive, central entity to
various business functions in a manufacturing
company, enabling enterprise-wide digital
transformation.
DOC’s value proposition extends far beyond
a set of dashboards. By integrating data
from disparate channels, it provides a cross-
functional understanding of the impact of
performance issues on multiple business
units. It empowers a business to not only glean
quick insights but also makes them actionable,
by providing a single point of control. For
instance, when a performance issue is
identified, a DOC can highlight the view,
pinpoint the root cause, analyze its impact
Fig. 1 | Role of digital operations center in a manufacturing firm
Product
Development/
VAVE/Design
Improvement
Sales,
Marketing
and CRM
Workforce
Management
Aftermarket
Services
and
Support
Manufacturing
Operations
and
Product Quality
Procurement,
Supply Chain
and Logistics
Digital
Operations
Center
5. 03
Digital Operations Center
Smart Asset Applications
SW Applications with real-time alerts
and insights for Operations Command
and Control
Rules/Analytics Engine
Business Rule and Logic | Advanced
Analytics and Algorithms with Asset
Application Algorithm for insights on
usage
Application Platform
Application Development and Execution
Environment | Connected Business
Applications using data access and
visualization tools
Support Desk
Maintain 24/7 operation and support of
all Asset connected equipment for the
customer
Cloud Platform
Asset Data - Database
Big Data Database | Data Aggretation and Normalization | Real Time and Historical Data
Management
Asset Connectivity
Network Communication
Protocols | Communication Layers | Network Communication Standards
Product And Manufacturing Assets
Software
OS (optional) | Embedded Firmware | Onboard Applications | User Interface | Desktop and Mobile
Applications
Hardware
Onboard Sensors | Processors | Connectivity | Electrical and Mechanical Parts
Identity and Security
• Security Tools
• User Authentication
Management
• System Access and
Administration
• Product Security
• Cloud Level Security
• Network Level Security
External Information
• Business Environment
• Government
Regulations
• Material / Commodity
Prices
Integration-Business
Systems
• Tools integrating
information from smart
devices with PLM, ERP
and CRM Systems
systems. The technology components of a
DOC depend on two elements: the business
function’s specific use case and the business
logic required to derive meaningful insights
through advanced analytics applied on the Big
Data gathered from sensors. Figure 2 depicts
the typical framework of a DOC along with the
inter linkages and dependencies on external
and internal systems.
DOC’s comprehensive technology stack
enables not only rapid product application
development and operationalization but
also the collection, analysis, and sharing of
humongous amounts of longitudinal data
generated inside and outside the products.
This unprecedented capability results in a
digital transformation life-cycle.
Fig. 2 | Technology stack of a digital operations center
on user behavior, distribute the information to
all stakeholders promptly, and display the
results— all within a single environment.
A DOC also enables the business to configure
alerts to identify issues proactively. For
instance, alerts for real-time user monitoring
and load testing integrations can ensure
continuous scrutiny of the manufacturing
environment to derive always—on insights
into every performance metric that the
business cares about.
Digital Operations Center:
Understanding the Technology Stack
The technology stack of a DOC comprises of
multiple layers, including new product
hardware, embedded software, a product
cloud consisting of software running on
remote servers, a suite of security tools, a
gateway for external information sources, and
integration with enterprise business
6. 04
Autonomy
Combining monitoring,
control, and
optimization allows:
• Autonomous product
operation
• Self-coordination of
operation with other
systems and products
• Self-diagnosis and
service
Optimization:
Algorithms optimize
product operation,
predict maintenance, and
prescribe appropriate
actions
Control:
Algorithms learn and
control product functions
and activities with alarm
notifications
Monitoring:
Sensors and external
data sources to monitor:
• Product‘s condition
• External environment
• Product‘s operation
and usage
ComplexityandskillRequirements
Business Value
Descriptive
What has
happened?
Diagnostic
What will
happen?
Predictive
What could
happen?
Prescriptive
How to prevent
what will
happen?
Persuasive/
Strategic
What is the
opportunity of
action?
Automated
What decisions
can be delegated
to a smart
system?
Digital Transformation Life-Cycle:
Enabling New Product Capabilities
Intelligence and connectivity enable an entirely
new set of product/asset functions and
capabilities in four areas.
#1 Monitoring
Embedded sensors in smart, connected
products enable comprehensive monitoring
of product condition, operations, and
external environment. Using data, a product
can alert users or others to the changes in
circumstances or performance. Monitoring
also allows companies and customers to
track a product’s operating characteristics
and history, to understand better how
it is actually used. This usage data has
important implications for design (by
reducing over engineering, for example),
market segmentation (through the analysis
of usage patterns by customer type), and
after-sale service (by enabling the right
technician to reach the location with the right
part, thus improving the first-time fix rate).
Additionally, monitoring data may also reveal
warranty compliance issues and new sales
opportunities, such as the need for additional
product capacity owing to high utilization.
#2 Control
Smart, connected products can be controlled
through remote commands or algorithms
that are built into the device or reside in the
product cloud. For instance, if the vibration of
bearings gets too high, a control algorithm can
help reduce the speed of the motor shaft.
#3 Optimization
The rich flow of monitoring data from
connected products, coupled with the
capacity to control operations, allows
companies to optimize product performance
in numerous ways, many of which were not
previously possible. Smart products are
capable of applying algorithms and analytics
Fig. 3 | Stages in digital transformation lifecycle enabled by DOC
7. 05
to in-use real-time or historical data to
dramatically improve output, utilization, and
efficiency. For instance, real-time monitoring
of critical parameters of a genset can enable
manufacturers to develop a predictive
maintenance suite to predict failures and
preempt them, thereby preventing financial
and production losses due to potential genset
downtimes.
#4 Autonomy
Monitoring, control, and optimization
capabilities come together to allow connected
products achieve an unprecedented level
of autonomy. At its simplest level, you have
autonomous product operations such as that
of the iRobot Roomba, a vacuum cleaner that
uses sensors and software to scan and clean
the floors in rooms with different layouts.2
Figure 3 depicts the various stages of a digital
transformation life-cycle, enabled by the
implementation of DOC. The key takeaway is
the enhancement of value offered to a
manufacturing company and its end
customers by the DOC as it progresses and
matures during the digital transformative
journey. It goes from initially providing
rudimentary reactive problem management
to a more prognostic or proactive, predictive
problem-solving, finally leading to a state
of autonomous problem management.
The complexity of activities and the skill
requirements of the staff manning the
operations center steadily increase as the
DOC matures, in turn, resulting in significant
cost and operational efficiency benefits to the
manufacturer.
Eight Steps to Building a DOC
Successfully
Building a DOC is no trivial task. It requires
buy-in at the executive level, as well as deep
technical know-how at the implementation
level. An extremely simplified breakdown of
the process comprises of these eight steps:
• Step 1: Have each functional team create
a list of all the data sources they regularly
monitor. This can serve as the basis for their
functional views within the DOC.
• Step 2: Audit the lists to determine any
overlaps/gaps to create cross-functional
views. Prioritize performance problems with
the biggest impact in terms of revenue or
customer experience, and start with these.
The goal is to get early wins with the DOC.
• Step 3: Create a wish list, research solutions,
and choose a platform for your DOC.
• Step 4: Build custom DOC frames that define
different views tailored to specific business
functions.
• Step 5: Determine the information sources,
visual configuration, and alerts required for
each audience or activity.
• Step 6: Build a single control application to
operate the DOC, allowing you to toggle
between framework-driven views, and
drill down to investigate issues, change
perspectives, and drive discussions.
• Step 7: Create alerts that automatically
bring important information to the forefront,
highlighting key milestones or issues
affecting performance.
• Step 8: Evolve continually to fine-tune the
performance at every step.
Enabling Digital Transformation
through DOC: A Use Case
Let us take the case of a hypothetical three-
phase induction motor manufacturing
company. Implementing a DOC can enable the
company to overcome business challenges by
reducing the total cost of operation, providing
insights into customer behavior, developing
new revenue streams, and proactively solving
issues (see Figures 4 through 9).
8. 06
Fig. 4 | Impact of DOC on Sales and Marketing
Fig. 5 | Impact of DOC on product design and development
• Enhances customer experience
• Identifies new revenue streams:
eg. subscription models
• Predicts motor demand accurately
• Prolongs life of motor product line
before onset of obsolescence
• Reduces marketing costs due to
targeted marketing and predictive pricing
Benefits:
Gain insights on
customer preferences
and experience on motor
performance from social
media & industry forums
Digital customer
relationship Management,
market segmentation,
targeted marketing
Motor pricing
models & analytics
Sales & marketing
analytics
Data-driven advertising
& measuring sales
channels’ effectiveness
Gain Insights on
Competitor Motor Sales,
Performance Feedback
Demand prediction,
sales forecasting, motor
product line lifetime
prediction before
obsolescence
Tracking usage &
utilization of motors
• Enables faster time-to-market
• Reduces failure rates and improved motor
reliability and quality
• Provides greater value to clients through
value-added features and on-going design
improvement
• Reduces product development costs
• Improves market share through
competitive advantage
Benefits:
Monitor motor assembly, part
performance, analyze failure to
improve design
Motor reliability analytics
& design improvement
Motor customization and
introduction of new variants
based on insights from
customer preferences
Gain insights from customer
feedback on motor performance,
quality, reliability through text
analytics of customer posts in
social media, industry forums, and
other digital channels
Data-driven product development,
new features’ introduction and
enhancements
Gain insights from Customer
Feedback on value added and non
value added features
9. 07
Fig. 6 | Impact of DOC on Procurement, Supply Chain, and Logistics
Fig. 7 | Impact of DOC on Manufacturing Operations and Product Quality
• Enables procurement-as-a-service
• Reduces risk from supply disruption through
supplier rationalization
• Enables real time status update of motor parts
anytime, anywhere globally
• Predicts delivery lead times
• Reduces inventory carrying costs
• Optimizes warehouse space
• Automates supply chain management-
as-a-service
Benefits:
Digital supplier management
& data-driven procurement of
motor parts
Track motor parts location,
status through smart tags
(RFID, BLE beacons etc.) at
vendor/supplier location
Digital category & service
procurement based on new
contract models for motor parts
Connected fleet management to
track physical asset movement &
delivery, field service vehicles
Intelligent, predictive
inventory management
Smart warehouse management
• Improves reliability & quality of products
• Connects shop floor decisions with corporate
level objectives of lowering manufacturing costs,
and reducing wastage
• Enables lean manufacturing
• Enables operational excellence and culture of
data-driven continuous process improvements
• Reduces costs due to poor quality
Benefits:
Connected shop floor & assembly
lines for real time manufacturing
asset health monitoring
Manufacturing operational
intelligence & unified KPIs
Smart quality assurance, testing
& predictive quality models
Smart inspection & metrology
instrumentation
Real-time monitoring of material
flows & manufacturing
bottlenecks
Additive manufacturing & mass
customization feasibility based
on customer preferences
Manufacturing asset manage-
ment & predictive maintenance
10. 08
• Reduces warranty costs
• Monitors motor operating health
instantaneously
• Improves Design
• Eliminates travel costs by enabling remote services
• Improves service tools and personnel efficiency
• Reduces inventory carrying costs by enabling
just- in-time inventory
• Boosts sales of high margin spare parts
Benefits:
Motor parts health score card &
predictive maintenance
Automated remote service
executive
Remote monitoring & manage-
ment of re-manufacturing center
Smart service/replacement parts
inventory management
Warranty cost management -
detection & prevention of
spurious warranty claims based
on real time monitoring
Real time service/replacement
parts tracking using smart tags
Smart user, operator training &
motor maintenance manuals
using AR/VR
Fig. 8 | Impact of DOC on Aftermarket Services and Support
Fig. 9 | Impact of DOC on the Manufacturer’s Workforce
• Enables agile workforce attuned to rapid changes
and challenges
• Enhances workforce health, safety, and productivity
• Workforce training & management as-a-service
• Workforce & cost optimization
Benefits:
Connected, mobile workforce
management through wearables for:
workforce tracking
monitoring workforce & health
Workforce productivity analytics
and optimization
Attracting, managing & retaining
talent through HR analytics
Workforce training through
e-learning based on AR/VR tools &
centralized knowledge management
Workforce and worker safety
monitoring & alerts on real time
basis
11. 09
About the Author
Sreekumar Narayana is an Assistant General
Manager in the Opportunity Management—
Corporate Strategy and Transformation team,
at Cyient. He has over 17 years of experience
in delivery management, pre-sales, and
consulting for the product, manufacturing
engineering, IIoT, and digital transformation
initiatives. He has led several system
engineering and consulting assignments on
M2M, connected products, smart metering,
and asset management programs. He is PMP
certified and a VA/VE solutions expert with
certification from Indian Value Engineering
Society (INVEST). He holds a Bachelor’s degree
in Engineering and a Post Graduate Diploma in
Business Management.
Making DOC an Integral Part of the
Digital Strategy
While a digital operations center allows
manufacturers to collect an infinite amount
of data about their businesses, it enables
much more than just tailored access to
a unified data set. It’s a decision-making
platform that creates a common language
around performance across a company—from
management to engineering. The result?
Manufacturers that make DOC an integral
part of their digital strategy stand to gain from
streamlined processes, reduced response
times, and data-driven decisions.
Footnotes
1
Deloitte, Press Release, MHI Survey:
Technology Adoption Rates Rise (Apr 2016),
accessed Mar 2017, https://www2.deloitte.
com/us/en/pages/about-deloitte/articles/
press-releases/deloitte-mhi-annual-report.
html
2
iRobot, http://www.irobot.com/For-the-
Home/Vacuuming/Roomba.aspx