Presentation Main Points:
A- The Role of OT & IoT Systems in Digital Business Transformation
1- What is digital business
2- Digital business platform reference architecture
3- How to use the enterprise architecture to plan and implement digital business transformation
4- Use case: transportation industry digital business platform
B- How to Integrate Big Data Analytics with IoT and OT Systems
1- Basic definitions related to big data analytics
2- Essentials of big data strategy
3- Use cases of integrating big data analytics with IoT and OT systems (in transportation and petroleum industries)
4- Big data platform integration options and their cost benefit trade-offs
How to Design Integrated Control and Information System Architecture Across L...Alaa Mahjoub
1) Largescale Critical Infrastructure Domains, Levels, Ownership and Operation Model
2) Examples of Largescale Critical Infrastructures
3) Layers of Largescale Critical Infrastructure
4) Cyber Critical Infrastructure
5) Evolution Trends Associated with IACS Systems
6) Architecture Development Method of Cyber Critical Infrastructure
7) Example 1: Establishment of Enterprise Networking & Communications for Petroleum Industry Integrated Operations
8) Example 2: Establishment of Control and Information Architecture for a Transmission System Operator in Deregulated Electricity Market
This document discusses IBM's perspective on cloud computing. It defines cloud computing, outlines some potential benefits like cost efficiency and flexibility, and differentiates between public and private clouds. It then describes the key technologies behind cloud computing like scalability, automation, and standardized user experiences. The document also highlights examples of IBM's leadership in developing both cloud infrastructure and cloud-based applications and services. Finally, it considers some common questions around how cloud computing can help drive innovation, optimization, and competitive advantage.
The document discusses how machine learning can help various industries like automotive. It provides examples of how ML can help with predictive maintenance, forecasting, risk assessment, marketing, finance, and operations. It also discusses challenges of ML adoption and how platforms can help address these challenges by democratizing ML and making it accessible for different roles. The future of automotive is expected to see a larger role for ML, especially with trends like shared mobility and electric vehicles.
Digital Twin Market - Global Market Analysis & Forecast BIS Research Inc.
The global digital twin market is projected to grow from $2.66 billion in 2020 to $29.57 billion by 2025.
get detailed analysis : https://bisresearch.com/industry-report/digital-twin-market.html
Digital Twin Market: By End-User Application (Aerospace & Defense, Automotive & Transportation, Electronics & Electrical/ Machine Manufacturing, Healthcare, Retail, Energy & Utilities, Home & Commercial and Others), By Type (Parts Twin, Product Twin, Process Twin and System Twin) and region - Global Forecast Till 2025
BIG DATA has to be the hottest topic in the boardrooms of blue chip companies - organizations with access to vast amounts of data that promises to have a massive impact on their businesses... But if you're not Amazon, Google, Walmart and Tesco what does it mean to your business? What about MOTOR DEALERS for example?
Regulatory Reality Check: Improve trust, compliance and visibility with IoT a...IBM Internet of Things
The document discusses how blockchain and IoT can improve trust, compliance and visibility for asset-intensive industries. It provides examples of how non-compliance costs industries billions annually and introduces blockchain as an immutable ledger that can be used with Maximo to improve processes like maintenance, repair, and disposal that involve multiple parties. The remainder demonstrates how Maximo and blockchain could be used together for various asset management scenarios through a network that allows external participants while maintaining data security and integrity.
Turning Digital Transformation into Competitive AdvantageMichele Osella
The document discusses how digital transformation requires more than just digitization and involves a profound and systemic change. It outlines several exponential technologies currently enabling data-driven business models and competitive advantages, including the Internet of Things, artificial intelligence, distributed ledger technology, and more. The document also examines how platforms are becoming the new normal across many industries and how they differ from traditional pipelines in terms of value creation, delivery, and capture. It closes by considering how emerging decentralized autonomous organizations combining AI and distributed ledger technology could challenge traditional platforms.
How to Design Integrated Control and Information System Architecture Across L...Alaa Mahjoub
1) Largescale Critical Infrastructure Domains, Levels, Ownership and Operation Model
2) Examples of Largescale Critical Infrastructures
3) Layers of Largescale Critical Infrastructure
4) Cyber Critical Infrastructure
5) Evolution Trends Associated with IACS Systems
6) Architecture Development Method of Cyber Critical Infrastructure
7) Example 1: Establishment of Enterprise Networking & Communications for Petroleum Industry Integrated Operations
8) Example 2: Establishment of Control and Information Architecture for a Transmission System Operator in Deregulated Electricity Market
This document discusses IBM's perspective on cloud computing. It defines cloud computing, outlines some potential benefits like cost efficiency and flexibility, and differentiates between public and private clouds. It then describes the key technologies behind cloud computing like scalability, automation, and standardized user experiences. The document also highlights examples of IBM's leadership in developing both cloud infrastructure and cloud-based applications and services. Finally, it considers some common questions around how cloud computing can help drive innovation, optimization, and competitive advantage.
The document discusses how machine learning can help various industries like automotive. It provides examples of how ML can help with predictive maintenance, forecasting, risk assessment, marketing, finance, and operations. It also discusses challenges of ML adoption and how platforms can help address these challenges by democratizing ML and making it accessible for different roles. The future of automotive is expected to see a larger role for ML, especially with trends like shared mobility and electric vehicles.
Digital Twin Market - Global Market Analysis & Forecast BIS Research Inc.
The global digital twin market is projected to grow from $2.66 billion in 2020 to $29.57 billion by 2025.
get detailed analysis : https://bisresearch.com/industry-report/digital-twin-market.html
Digital Twin Market: By End-User Application (Aerospace & Defense, Automotive & Transportation, Electronics & Electrical/ Machine Manufacturing, Healthcare, Retail, Energy & Utilities, Home & Commercial and Others), By Type (Parts Twin, Product Twin, Process Twin and System Twin) and region - Global Forecast Till 2025
BIG DATA has to be the hottest topic in the boardrooms of blue chip companies - organizations with access to vast amounts of data that promises to have a massive impact on their businesses... But if you're not Amazon, Google, Walmart and Tesco what does it mean to your business? What about MOTOR DEALERS for example?
Regulatory Reality Check: Improve trust, compliance and visibility with IoT a...IBM Internet of Things
The document discusses how blockchain and IoT can improve trust, compliance and visibility for asset-intensive industries. It provides examples of how non-compliance costs industries billions annually and introduces blockchain as an immutable ledger that can be used with Maximo to improve processes like maintenance, repair, and disposal that involve multiple parties. The remainder demonstrates how Maximo and blockchain could be used together for various asset management scenarios through a network that allows external participants while maintaining data security and integrity.
Turning Digital Transformation into Competitive AdvantageMichele Osella
The document discusses how digital transformation requires more than just digitization and involves a profound and systemic change. It outlines several exponential technologies currently enabling data-driven business models and competitive advantages, including the Internet of Things, artificial intelligence, distributed ledger technology, and more. The document also examines how platforms are becoming the new normal across many industries and how they differ from traditional pipelines in terms of value creation, delivery, and capture. It closes by considering how emerging decentralized autonomous organizations combining AI and distributed ledger technology could challenge traditional platforms.
Digital Twin Market by Type, Application, Technology and Region: Global Indus...ReportCruxMarketRese
Digital Twin Market is estimated to grow from USD 3.67 Billion in 2019 to reach USD 75.42 Billion by 2027, at a CAGR of 45.9% from 2020-2027.
Read More Our Analysis: https://bit.ly/3sVWnyk
The global Cloud Computing Market is estimated to grow from USD 297.81 Billion in 2019 to reach USD 1,092.48 Billion by 2027, at a CAGR of 17.7% during the forecast period from 2020-2027.
Read More Our Analysis: https://bit.ly/3zjfg0x
Advanced manufacturing syposium 2016 siaa colin kohColin Koh (許国仁)
Abstract:. Smart Nation, Advanced Manufacturing, IoT and Robotics are the few key focus area in Singapore to ensure economic grow by improving productivity, efficiency and drive innovation. There are still many challenges ahead at the same time provide opportunity for emerging SMEs and start-up. This presentation will highlight the Digitisation of automation technology and current stage of standard development in IoT and Robotics from the industry perspective.
Harnessing transportation big data with analytics in the age of digital busin...aaaa1954
This presentation covers the following main points:
1- Basic Concepts & Definitions of:
- Digital Business
- Business Intelligence
- Real-time Operational Intelligence
- Big Data
- Advanced Analytics
- Big Data Analytics
2- How to Formulating your Big Data Strategy
3- How to Build your Digital Business and Analytic Platforms
4- Case Study on point 2 and 3
5- Big Data Platform Integration Options & Cost Benefit
Trade off
Research computing, content, applications, and commerce in the cloud legacy ...Neel Terde
This document discusses opportunities and threats for network operators as computing, content, applications, and commerce migrate to the cloud. Technologies like 4G and cloud computing will transform wireless communications, benefiting companies that adapt and threatening those that do not adjust strategies. The report evaluates key technologies, solutions, applications, and companies expected to benefit from this evolution, as well as threats and opportunities for incumbent network operators. It is important network operators take steps now to position themselves for significant changes in how computing, content, applications and commerce are delivered and monetized in the cloud.
The document discusses analytics for Internet of Things (IoT) data from trucks. It describes an architecture that uses technologies like Kafka and Storm for real-time streaming of sensor data, HDFS for storage, Elasticsearch for retrieval, and Spark and machine learning tools for predictive analytics on the data to discover patterns related to violations. A web app with dashboards and alerts in ActiveMQ would display insights and messages based on the captured and analyzed truck event data.
Three Macrotrends Impacting the Journey to 2030: Super Humans, Fluid Organiza...Kaleido Insights
Kaleido Insights’ introductory research report identifies and analyzes three macrotrends that will impact humans, organizations, and ecosystems in the coming decade and beyond. This abridged version explores the report’s key themes through its graphics. Download the full report at KaleidoInsights.com/Research.
The document discusses the concept of the Internet of Things (IoT), which involves connecting machines, facilities, fleets, networks, and people to sensors and controls. It notes that:
- The IoT has the potential to revolutionize how we live and do business across many industries.
- While the concept has been around since the 1990s, improving sensors, analytics, and declining costs are driving new applications in areas like automotive, healthcare, manufacturing and more.
- Companies face challenges in developing IoT strategies, integrating technologies, managing and analyzing sensor data at scale, and ensuring security and privacy.
The internet of things (IoT) is a steadily growing billion-dollar market largely driven by companies undergoing digitization for greater efficiency and transparency, as well as by 5G and emerging applications like smart cities. Satellite’s inherent capabilities — such as its ability to reach remote areas, its ability to scale, to extend coverage for other providers — make it an essential part of a hybrid network needed to support an interoperable IoT system.
The document discusses Hong Kong's potential to become a global R&D and ICT service center for China. It outlines key advantages Hong Kong has over other locations like India, such as a well-educated immigrant workforce and proximity to southern China. Establishing Hong Kong as an offshore outsourcing and insourcing hub could help improve China's ICT capabilities and access overseas markets and talent.
Teradata and Cisco integrated journey to IoT and Smart cityArtur Borycki
Presentation focus on highlighting how Cisco and Teradata are working together to deliver end to end IoT solutions to address Industrial problems and enables journey to Smart Cities. Industry 4.0 and Smart City requires not just sensors and devices but ability to enable system of system.
This document discusses Industry 4.0, which refers to the current trend of increased automation and data exchange in manufacturing technologies using cyber-physical systems, the internet of things, cloud computing, and cognitive computing. It is considered the fourth industrial revolution. The document provides an overview of the four industrial revolutions from the introduction of steam power in Industry 1.0 to the increased automation using sensors and machine learning in Industry 4.0 today. It also discusses key aspects of Industry 4.0 like cyber-physical systems, the internet of things, benefits and examples of IIoT (industrial internet of things) systems.
In this piece, we explore how AI has the potential to deliver the active management that will be required for the grid of the future. Powerful intelligence will be able to balance grids, manage demand, negotiate actions, enable self-healing and facilitate a host of new products and services.
How Cloud Based Market Data Enables InnovationStephane Dubois
How legacy market data infrastructure kills innovation
Cloud-Based Market Data Distribution overview
How Cloud APIs drive innovation
Xignite introduction
Energy & Utilities Manufacturing Industry Pptvidya2avs
The document provides an overview of trends in the energy & utilities and manufacturing industries. It notes that energy & utilities spends heavily on IT, focusing on areas like smart grids, asset management, and customer management. Manufacturing is also emphasized for its importance to GDP and opportunities in supply chain management and ERP software. Key industries mentioned are energy & utilities, oil & gas, various types of manufacturing, and retail energy.
Harnessing potential of artificial intelligence in energy & oil and gasCANOPY ONE SOLUTIONS
Artificial intelligence can play a key role in transforming the energy and oil & gas industries by optimizing operations. Some applications of AI include enabling smart grids through optimal configurations; reducing transmission and distribution losses by analyzing usage data; fine-tuning supply to match consumption patterns; conserving energy by switching off during periods of low demand; allowing homes to sell excess solar production back to the grid; controlling and optimizing power grid configurations; implementing preventative maintenance to avoid costly repairs; using image classification to identify potential mining areas; determining optimal placements for solar cells; designing efficient supply chains using sensor data; better predicting commodity price movements; and automating transportation using autonomous vehicles.
The document discusses the Fourth Industrial Revolution, which involves emerging technologies like artificial intelligence, big data, robotics, and more. It provides details on the drivers of the Fourth Industrial Revolution, including artificial intelligence, blockchain, big data, the internet of things, and digital innovation. The document also summarizes perspectives from Jack Ma on how to respond to the changes brought by the Fourth Industrial Revolution and the role of machine learning in processing data. Finally, it gives examples of companies that use machine learning like Google, Facebook, and financial institutions.
The document discusses how satellite IoT solutions can benefit utility companies in the following ways:
1) Satellite IoT solutions allow utilities to continuously monitor their distribution networks for issues like voltage fluctuations, outages, and peaks in demand from generation to distribution. This provides enhanced visibility that can reduce costs and downtime.
2) Specific IoT applications discussed include monitoring reclosers, transformers, automated meter reading to remotely monitor usage, and fleet tracking to increase crew safety and efficiency.
3) ST Engineering iDirect provides satellite IoT solutions tailored for low, medium, and high data rate requirements through their Evolution, Velocity, and Dialog platforms and specialized IoT terminals. This allows flexible business models for IoT services
This Presentation describes about the definition of Industry 4.0, how can industry 4.0 be occured in this era and what are steps?, relation between Energy Distribution and Industry 4.0, Smart Grid including AMI (Advanced Metering Infrastructure) summerized from all resources. Thankyou and i am sorry if there are many theory, statements and pictures which its sources are not included.
Harnessing transportation big data with analytics in the age of digital busin...Alaa Mahjoub
This presentation includes the following main points:-
Basic Concepts & Definitions
Digital Business
Business Intelligence
Real-time Operational Intelligence
Big Data
Advanced Analytics
Big Data Analytics
Formulating your Big Data Strategy
Building your Digital Business and Analytic Platforms
Case Study
Big Data Platform Integration Options & Cost Benefit Trade-off
Event-driven Business: How Leading Companies Are Adopting Streaming Strategiesconfluent
With the evolution of data-driven strategies, event-based business models are influential in innovative organizations. These new business models are built around the availability of real-time information on customers, payments and supply chains. As businesses look to expand traditional revenues, sourcing events from enterprise applications, mobile apps, IoT devices and social media in real time becomes essential to staying ahead of the competition.
Join John Santaferraro, Research Director at leading IT analyst firm Enterprise Management Associates (EMA), and Lyndon Hedderly, Director of Customer Solutions at Confluent, to learn how business and technology leaders are adopting streaming strategies and how the world of streaming data implementations have changed for the better.
You will also learn how organizations are:
-Adopting streaming as a strategic decision
-Using streaming data for a competitive advantage
-Using real-time processing for their applications
-Evolving roadblocks for streaming data
-Creating business value with a streaming platform
Digital Twin Market by Type, Application, Technology and Region: Global Indus...ReportCruxMarketRese
Digital Twin Market is estimated to grow from USD 3.67 Billion in 2019 to reach USD 75.42 Billion by 2027, at a CAGR of 45.9% from 2020-2027.
Read More Our Analysis: https://bit.ly/3sVWnyk
The global Cloud Computing Market is estimated to grow from USD 297.81 Billion in 2019 to reach USD 1,092.48 Billion by 2027, at a CAGR of 17.7% during the forecast period from 2020-2027.
Read More Our Analysis: https://bit.ly/3zjfg0x
Advanced manufacturing syposium 2016 siaa colin kohColin Koh (許国仁)
Abstract:. Smart Nation, Advanced Manufacturing, IoT and Robotics are the few key focus area in Singapore to ensure economic grow by improving productivity, efficiency and drive innovation. There are still many challenges ahead at the same time provide opportunity for emerging SMEs and start-up. This presentation will highlight the Digitisation of automation technology and current stage of standard development in IoT and Robotics from the industry perspective.
Harnessing transportation big data with analytics in the age of digital busin...aaaa1954
This presentation covers the following main points:
1- Basic Concepts & Definitions of:
- Digital Business
- Business Intelligence
- Real-time Operational Intelligence
- Big Data
- Advanced Analytics
- Big Data Analytics
2- How to Formulating your Big Data Strategy
3- How to Build your Digital Business and Analytic Platforms
4- Case Study on point 2 and 3
5- Big Data Platform Integration Options & Cost Benefit
Trade off
Research computing, content, applications, and commerce in the cloud legacy ...Neel Terde
This document discusses opportunities and threats for network operators as computing, content, applications, and commerce migrate to the cloud. Technologies like 4G and cloud computing will transform wireless communications, benefiting companies that adapt and threatening those that do not adjust strategies. The report evaluates key technologies, solutions, applications, and companies expected to benefit from this evolution, as well as threats and opportunities for incumbent network operators. It is important network operators take steps now to position themselves for significant changes in how computing, content, applications and commerce are delivered and monetized in the cloud.
The document discusses analytics for Internet of Things (IoT) data from trucks. It describes an architecture that uses technologies like Kafka and Storm for real-time streaming of sensor data, HDFS for storage, Elasticsearch for retrieval, and Spark and machine learning tools for predictive analytics on the data to discover patterns related to violations. A web app with dashboards and alerts in ActiveMQ would display insights and messages based on the captured and analyzed truck event data.
Three Macrotrends Impacting the Journey to 2030: Super Humans, Fluid Organiza...Kaleido Insights
Kaleido Insights’ introductory research report identifies and analyzes three macrotrends that will impact humans, organizations, and ecosystems in the coming decade and beyond. This abridged version explores the report’s key themes through its graphics. Download the full report at KaleidoInsights.com/Research.
The document discusses the concept of the Internet of Things (IoT), which involves connecting machines, facilities, fleets, networks, and people to sensors and controls. It notes that:
- The IoT has the potential to revolutionize how we live and do business across many industries.
- While the concept has been around since the 1990s, improving sensors, analytics, and declining costs are driving new applications in areas like automotive, healthcare, manufacturing and more.
- Companies face challenges in developing IoT strategies, integrating technologies, managing and analyzing sensor data at scale, and ensuring security and privacy.
The internet of things (IoT) is a steadily growing billion-dollar market largely driven by companies undergoing digitization for greater efficiency and transparency, as well as by 5G and emerging applications like smart cities. Satellite’s inherent capabilities — such as its ability to reach remote areas, its ability to scale, to extend coverage for other providers — make it an essential part of a hybrid network needed to support an interoperable IoT system.
The document discusses Hong Kong's potential to become a global R&D and ICT service center for China. It outlines key advantages Hong Kong has over other locations like India, such as a well-educated immigrant workforce and proximity to southern China. Establishing Hong Kong as an offshore outsourcing and insourcing hub could help improve China's ICT capabilities and access overseas markets and talent.
Teradata and Cisco integrated journey to IoT and Smart cityArtur Borycki
Presentation focus on highlighting how Cisco and Teradata are working together to deliver end to end IoT solutions to address Industrial problems and enables journey to Smart Cities. Industry 4.0 and Smart City requires not just sensors and devices but ability to enable system of system.
This document discusses Industry 4.0, which refers to the current trend of increased automation and data exchange in manufacturing technologies using cyber-physical systems, the internet of things, cloud computing, and cognitive computing. It is considered the fourth industrial revolution. The document provides an overview of the four industrial revolutions from the introduction of steam power in Industry 1.0 to the increased automation using sensors and machine learning in Industry 4.0 today. It also discusses key aspects of Industry 4.0 like cyber-physical systems, the internet of things, benefits and examples of IIoT (industrial internet of things) systems.
In this piece, we explore how AI has the potential to deliver the active management that will be required for the grid of the future. Powerful intelligence will be able to balance grids, manage demand, negotiate actions, enable self-healing and facilitate a host of new products and services.
How Cloud Based Market Data Enables InnovationStephane Dubois
How legacy market data infrastructure kills innovation
Cloud-Based Market Data Distribution overview
How Cloud APIs drive innovation
Xignite introduction
Energy & Utilities Manufacturing Industry Pptvidya2avs
The document provides an overview of trends in the energy & utilities and manufacturing industries. It notes that energy & utilities spends heavily on IT, focusing on areas like smart grids, asset management, and customer management. Manufacturing is also emphasized for its importance to GDP and opportunities in supply chain management and ERP software. Key industries mentioned are energy & utilities, oil & gas, various types of manufacturing, and retail energy.
Harnessing potential of artificial intelligence in energy & oil and gasCANOPY ONE SOLUTIONS
Artificial intelligence can play a key role in transforming the energy and oil & gas industries by optimizing operations. Some applications of AI include enabling smart grids through optimal configurations; reducing transmission and distribution losses by analyzing usage data; fine-tuning supply to match consumption patterns; conserving energy by switching off during periods of low demand; allowing homes to sell excess solar production back to the grid; controlling and optimizing power grid configurations; implementing preventative maintenance to avoid costly repairs; using image classification to identify potential mining areas; determining optimal placements for solar cells; designing efficient supply chains using sensor data; better predicting commodity price movements; and automating transportation using autonomous vehicles.
The document discusses the Fourth Industrial Revolution, which involves emerging technologies like artificial intelligence, big data, robotics, and more. It provides details on the drivers of the Fourth Industrial Revolution, including artificial intelligence, blockchain, big data, the internet of things, and digital innovation. The document also summarizes perspectives from Jack Ma on how to respond to the changes brought by the Fourth Industrial Revolution and the role of machine learning in processing data. Finally, it gives examples of companies that use machine learning like Google, Facebook, and financial institutions.
The document discusses how satellite IoT solutions can benefit utility companies in the following ways:
1) Satellite IoT solutions allow utilities to continuously monitor their distribution networks for issues like voltage fluctuations, outages, and peaks in demand from generation to distribution. This provides enhanced visibility that can reduce costs and downtime.
2) Specific IoT applications discussed include monitoring reclosers, transformers, automated meter reading to remotely monitor usage, and fleet tracking to increase crew safety and efficiency.
3) ST Engineering iDirect provides satellite IoT solutions tailored for low, medium, and high data rate requirements through their Evolution, Velocity, and Dialog platforms and specialized IoT terminals. This allows flexible business models for IoT services
This Presentation describes about the definition of Industry 4.0, how can industry 4.0 be occured in this era and what are steps?, relation between Energy Distribution and Industry 4.0, Smart Grid including AMI (Advanced Metering Infrastructure) summerized from all resources. Thankyou and i am sorry if there are many theory, statements and pictures which its sources are not included.
Harnessing transportation big data with analytics in the age of digital busin...Alaa Mahjoub
This presentation includes the following main points:-
Basic Concepts & Definitions
Digital Business
Business Intelligence
Real-time Operational Intelligence
Big Data
Advanced Analytics
Big Data Analytics
Formulating your Big Data Strategy
Building your Digital Business and Analytic Platforms
Case Study
Big Data Platform Integration Options & Cost Benefit Trade-off
Event-driven Business: How Leading Companies Are Adopting Streaming Strategiesconfluent
With the evolution of data-driven strategies, event-based business models are influential in innovative organizations. These new business models are built around the availability of real-time information on customers, payments and supply chains. As businesses look to expand traditional revenues, sourcing events from enterprise applications, mobile apps, IoT devices and social media in real time becomes essential to staying ahead of the competition.
Join John Santaferraro, Research Director at leading IT analyst firm Enterprise Management Associates (EMA), and Lyndon Hedderly, Director of Customer Solutions at Confluent, to learn how business and technology leaders are adopting streaming strategies and how the world of streaming data implementations have changed for the better.
You will also learn how organizations are:
-Adopting streaming as a strategic decision
-Using streaming data for a competitive advantage
-Using real-time processing for their applications
-Evolving roadblocks for streaming data
-Creating business value with a streaming platform
Tech Leaders of DFW presentation by Mirza Chughtai, April 2018Rob McIntosh
Thanks to Mirza Chughtai for an informative presentation on USE CASES FOR AUTONOMOUS INFRASTRUCTURE and to everyone who attended the April Tech Leaders of DFW Happy Hour.
Topics discussed:
Block chain
Digital
Crypto currency
Total automation
IVR
CHAT BOTS
cognicore
Self healing infrastructure (Watson)
ignio (service management)
Horizontal scaling
Business continuity
Segregation leads to discrimination
Zensar has been at the forefront of providing advanced manufacturing solutions to its clients, incorporating futuristic and contemporary best manufacturing practices and concepts including IoT.
A Winning Strategy for the Digital EconomyEric Kavanagh
The speed of innovation today creates tremendous opportunities for some, existential threats for others. Companies that win create their own success by leveraging modern data platforms. While architectures vary, the foundation is often in-memory, and the latency is real-time. Register for this Special Edition of The Briefing Room to hear veteran Analyst Dr. Robin Bloor explain how today's data platforms enable the modern enterprise in groundbreaking ways. He'll be briefed by Chris Hallenbeck of SAP who will demonstrate how forward-looking companies are leveraging real-time data platforms to achieve operational excellence, make decisions faster, and find new ways to innovate.
Self-service analytics @ Leaseplan Digital: from business intelligence to int...webwinkelvakdag
Irina Mihai and Tekin Mentes present on self-service analytics and data visualization supported by next generation big data architecture at LeasePlan. Irina leads LeasePlan's data visualization practice with over 7 years experience in digital analytics. Tekin is head of data technologies and responsible for LeasePlan's data as a service platform. They discuss LeasePlan's focus on end-to-end services and vehicle lifecycle management as the world's largest fleet management company. Key lessons from their journey implementing self-service analytics include thinking like a product owner, recognizing the value of data as the 5th V of big data, and shifting to modern analytics platforms.
This document discusses how digital disruptions are changing businesses and the need for data integration (DI) modernization. It emphasizes that data is crucial for digital businesses and an efficient DI platform is key to success. The document outlines strategies like the big bang or 2-speed approach for DI modernization. It also highlights capabilities needed like API-based integration, stream computing, cloud infrastructure and logical data warehousing. Finally, it stresses the importance of adopting an agile operating model and DevOps culture for lean execution of the DI transformation.
The Next Digital Marketing- Digital Pharma presentation by Ci&T and GoogleCI&T
The document discusses NEXT Digital Marketing and how they can help pharmaceutical companies with digital transformation. It summarizes that:
1. NEXT has over 10 years of experience in digital marketing for pharma and manages 500+ web properties and 300+ employees for major clients.
2. The relationship between customers and information has changed, as information is now available everywhere through a variety of channels.
3. NEXT focuses on talking to customers, listening to understand their needs, and learning from data to continuously adapt offerings and provide seamless experiences across channels.
4. Technologies like cloud, analytics, and machine learning enable NEXT to gather customer data and insights to take optimal actions.
The document discusses NEXT Digital Marketing and how they can help pharmaceutical companies with digital transformation. It summarizes that:
1. NEXT has over 10 years of experience in digital marketing for pharma and manages 500+ web properties and 300+ employees for major clients.
2. The relationship between customers and information has changed drastically with information now available everywhere through a variety of channels.
3. NEXT recommends talking to customers, listening to understand their needs, and learning from data in order to continuously adapt channels and content with agility.
4. Technology is advancing rapidly and traditional approaches will not keep up, so companies need to learn from customer behavior and sentiment data and seamlessly blend products into customer lives to gain
This document contains confidential information about Bitrock S.r.l.'s services and cannot be copied or distributed without permission. Bitrock provides solutions for continuous intelligence in manufacturing through IoT data analytics. They use stream processing and artificial intelligence to provide real-time insights from machinery data. Their approach involves connecting devices, collecting and analyzing streaming data, designing machine learning models, applying them to processes, and scaling the system across operations.
This document discusses Internet of Things (IoT) use cases and how organizations can create business value from connecting devices and assets. It provides an overview of reports predicting massive growth in connected devices and trillions in economic value from the IoT. However, it notes that many organizations are still struggling to get started with IoT initiatives. It then outlines 26 specific IoT use cases organized by business function to help organizations identify opportunities to transform processes. Examples are provided of companies successfully applying IoT use cases in areas like operations, service, marketing and more. The document encourages organizations to identify which use cases are most relevant using a workshop and roadmap developed by PTC.
This document summarizes a webinar on data as a service. It discusses how data virtualization through Denodo can enable agile business intelligence by providing pre-aggregated data to users quickly. It describes how Denodo creates API access to data, allows for an enterprise data marketplace, and integrates machine learning models to power operational AI. A demonstration of a personal COVID-19 risk monitor is provided.
Bilytica - Corporate Introduction - Jan 2015Hannah Naser
Bilytica is an IT consulting firm that provides business intelligence, data warehousing, analytics, enterprise application development, and mobile app development services. It has over 150 staff including 110 technology consultants and 75 associates with BI and data warehousing backgrounds. The company's products include Erpisto ERP and CRM software. Bilytica has experience implementing solutions for over 40 enterprises and consulting for telecommunications, banking, retail, education and insurance industries.
Customer Presentation - IBM Cloud Pak for Data Overview (Level 100).PPTXtsigitnist02
This document provides instructions for using a presentation deck on Cloud Pak for Data. It instructs the user to:
1. Delete the first slide before using the deck.
2. Customize the presentation for the intended audience as the deck covers various topics and using all slides may not fit a single meeting.
3. The deck contains 6 embedded video records for a demo that takes 15-25 minutes to present. Guidance on pitching the demo is available.
The appendix contains slides on Cloud Pak for Data licensing and IBM's overall strategy.
Chet Kapoor's opening keynote address at I Love APIs London 2016. Like the three industrial revolutions before it, the fourth brings technology advances and culture change as people adapt to live and work in new ways. The promise is huge and the need to move fast and adapt quickly to change is paramount.
These slides—based on the on-demand webinar hosted by leading IT analyst firm Enterprise Management Associates (EMA) and Confluent –examines how business and technology leaders are adopting streaming strategies and how the world of streaming data implementations have changed for the better.
Sponsor presentation about the 2010 Gartner Application Architecture, Development & Integration Summit (Nov 15-17 in Los Angeles) www.gartner.com/us/aadi
The document discusses artificial intelligence (AI) and Capgemini's approach to AI. It provides examples of how AI can be applied in different industries and business functions. It also outlines Capgemini's AI platform, principles, and offerings. Capgemini aims to help clients implement impactful and scalable AI solutions through a combination of technology, services, and ecosystem partnerships.
Key Contents -
Trends in the Manufacturing Sector
Key Statistics and Challenges
Digital Transformation Strategy Development Steps
Use-Cases in Manufacturing
Market Map Landscape - By Leaders, Star-ups, Segments & Sub Segments (Managing Technology Risks)
Drivers of M&A in Industry 4.0
Benchmarking the start-ups and investments/acquisition options for Market Leaders
Similar to Integration of Big Data Analytics with IoT and OT Systems to Turn Insights into Strategic and Operational Business Decisions (20)
This document provides steps for implementing digital business transformation in higher education. It outlines developing a digital business transformation strategy and roadmap, establishing new digital business capabilities, partnering with ecosystem players, building a digital business technology platform, and implementing transformation programs. Some key digital capabilities include creating new business models, analyzing customers and partners, and managing contextual information. The technology platform should support business trends like reinventing credentials through open micro-credentials and predictive analytics.
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Integration of Big Data Analytics with IoT and OT Systems to Turn Insights into Strategic and Operational Business Decisions
1. Integration of Big Data Analytics with IoT & OT Systems to Turn
Insights into Strategic Business Decisions
By: Alaa Mahjoub
Integration of Big Data Analytics with IoT and
OT Systems to Turn Insights into Strategic &
Operational Business Decisions
By: Alaa Mahjoub
Data Management Senior Expert
e-mail: ahmam1@emirates.net.ae
LinkedIn: https://ae.linkedin.com/in/Alaa-Mahjoub
2. Integration of Big Data Analytics with IoT & OT Systems to Turn
Insights into Strategic Business Decisions
By: Alaa Mahjoub
Part II
How to Integrate Big Data Analytics with IoT
and OT Systems to Turn Insights into
Strategic and Operational Business
Decisions
Part I
The Role of OT & IoT in Digital Business
Transformation
PRESENTATION AGENDA
3. Integration of Big Data Analytics with IoT & OT Systems to Turn
Insights into Strategic Business Decisions
By: Alaa Mahjoub
PART I: OT & IOT PLATFORMS AS ESSENTIAL PARTS OF
MODERN ENTERPRISE DIGITAL BUSINESS PLATFORM
What is Digital Business
Architecture of digital business platform
How to use the enterprise architecture to plan
and implement digital business transformation
Use case: transportation industry digital
business platform
4. Integration of Big Data Analytics with IoT & OT Systems to Turn
Insights into Strategic Business Decisions
By: Alaa Mahjoub
PART II: INTEGRATION OF BIG DATA ANALYTICS WITH IoT AND OT
Systems TO TURN INSIGHTS INTO STRATEGIC AND OPERATIONAL
BUSINESS DECISIONS
Basic definitions related to big data analytics
Essentials of big data strategy
Use cases of integrating big data analytics with
IoT and OT Systems
Big data platform integration options and their cost
benefit trade-offs
5. Integration of Big Data Analytics with IoT & OT Systems to Turn
Insights into Strategic Business Decisions
By: Alaa Mahjoub
Part I
IACS & IoT Platforms as Parts of
Modern Enterprise Digital Business Platform
6. Integration of Big Data Analytics with IoT & OT Systems to Turn
Insights into Strategic Business Decisions
By: Alaa Mahjoub
PART I AGENDA
What is Digital Business
Architecture of digital business platform
How to use the enterprise architecture to plan
and implement digital business
Use case: transportation industry digital
business platform
7. Integration of Big Data Analytics with IoT & OT Systems to Turn
Insights into Strategic Business Decisions
By: Alaa Mahjoub
DIGITAL BUSINESS
Digital business is …
… the creation of new business designs by blurring the digital and physical
worlds due to the convergence of people, business and things
Things
BusinessPeople
8. Integration of Big Data Analytics with IoT & OT Systems to Turn
Insights into Strategic Business Decisions
By: Alaa Mahjoub
People
Social Network
Calendar
Location
Online Transportation Request
Places
No. of People Here
No. of People Visited
Wait Time
Reservation Service
Information
Bus Schedule
Expected Disruptions
DIGITAL BUSINESS CONNECTS PEOPLE, PLACES, THINGS AND INFORMATION
Things
Time to Green
No. of Cars: No Stop
No. of Cars: Stopped
Taxi Location
Speed
Online Request
Location
Diagnostics
Digital business delivers value by …
… rethinking, reinventing, reimagining and transforming current business models
to leverage social, mobile, information and cloud, as well as the Internet of Things
9. Integration of Big Data Analytics with IoT & OT Systems to Turn
Insights into Strategic Business Decisions
By: Alaa Mahjoub
LEVERAGING THE INFORMATION COLLECTED FROM THE MANY SOURCES
EXAMPLE : LONDON TUBE HEARTBEAT (BY HERE)
HTTPS://COMPANY.HERE.COM/HERE/
Click here to access the web site
10. Integration of Big Data Analytics with IoT & OT Systems to Turn
Insights into Strategic Business Decisions
By: Alaa Mahjoub
What is Digital Business
Architecture of digital business platform
How to use the enterprise architecture to plan
and implement digital business
Use cases: transportation industry digital
business platform
PART I AGENDA
11. Integration of Big Data Analytics with IoT & OT Systems to Turn
Insights into Strategic Business Decisions
By: Alaa Mahjoub
EmployeesCustomers
Things
Ecosystems
Platform
IoT
Platform
Data &
Analytics
Platform
Information
Systems
Platform
Partners
ARCHITECTURE OF TRANSPORTATION DIGITAL BUSINESS PLATFORM
Renovate (Mode 1 IT Style) Explore (Mode 2 IT Style)
Customer
Experience
Platform
Runs the core business applications,
back office applications, infrastructure
applications, endpoint device
applications and operational
technology applications
IT
Run the customers and citizens
facing applications such as
customer portals, B2C and B2B
Connects physical assets (Things)
such as Busses, Taxis and Traffic
Signals for monitoring, optimization,
control and monetization
Supports the creation of, and connection to, external
ecosystems, marketplaces and communities relevant to the
transportation agency business such as government
agencies, smart cities, credit card networks, police,
ambulance, etc.
Contains the Data
Management and
Analytics tools and
applications
12. Integration of Big Data Analytics with IoT & OT Systems to Turn
Insights into Strategic Business Decisions
By: Alaa Mahjoub
THE INTEGRATED ARCHITECTURE MODEL FROM CYBER SECURITY VIEW POINT
BASED ON THE PURDUE MODEL FOR CONTROL HIERARCHY
INCORPORATED INTO THE ISA99/IEC 62443 SECURITY STANDARD
VPN Web FTP/SFTP Email Gateway
CMMS Planning Email Printing DNS/DHCP…
Shared Historian FTP/SFTP
Remote Access Server
Patch/AV Servers
Shared Application Servers
Plant Historian Production Scheduling
DNS/DHCP/LDAP/… Engineering Workstations
File Ser.
ERP ECM Business Applications
Control Room
Workstations
Human Machine
Interface
Alarms
Systems
PLC DCS RTU
Sensors Actuators Valves
Safety Subsystems (SIS)
13. Integration of Big Data Analytics with IoT & OT Systems to Turn
Insights into Strategic Business Decisions
By: Alaa Mahjoub
EmployeesCustomers
Things
Ecosystems
Platform
IoT
Platforms
Data &
Analytics
Platform
Information
Systems
Partners
Customer
Experience
Platform
Integration with Digital Business Technology Platform
Reference Architecture (Revisited)
OT
14. Integration of Big Data Analytics with IoT & OT Systems to Turn
Insights into Strategic Business Decisions
By: Alaa Mahjoub
EmployeesCustomers
Things
Ecosystems
Platform
IoT
Platforms
Data &
Analytics
Platform
Information
Systems
Partners
Customer
Experience
Platform
Integration with Digital Business Technology Platform
Reference Architecture (Revisited)
OT
15. Integration of Big Data Analytics with IoT & OT Systems to Turn
Insights into Strategic Business Decisions
By: Alaa Mahjoub
IOT PLATFORM ARCHITECTURAL BUILDING BLOCKS
Partner Owned
Things
Gateways
Agents
Customer Owned
Things
Gateways
Agents
Gateways
Agents
Gateways
Agents
AggregatedDeviceManagement
IntegrationMiddleware
BI and Analytics
Data
Orchestration
To other Digital Business Platforms
CommunicationEnterprise Owned
Things
16. Integration of Big Data Analytics with IoT & OT Systems to Turn
Insights into Strategic Business Decisions
By: Alaa Mahjoub
DATA AND ANALYTICS PLATFORM
Data Virtualization
Analytics Applications
Business
Intelligence
Data
Warehouse,
ODS, DM
RT Operational
Intelligence
Big Data Analytics
Big Data
ETL
CEP
MDM
MEM
DQ
ILM
Data
Taxonomy
Auto
Classification
Data
Modelling
Enterprise
Content
Management
Analytics Platform(s)
Data and Analytics Platform
17. Integration of Big Data Analytics with IoT & OT Systems to Turn
Insights into Strategic Business Decisions
By: Alaa Mahjoub
What is Digital Business
Architecture of digital business platform
How to use the enterprise architecture to plan
and implement digital business
Use cases: transportation industry digital
business platform
PART I AGENDA
18. Integration of Big Data Analytics with IoT & OT Systems to Turn
Insights into Strategic Business Decisions
By: Alaa Mahjoub
Enterprise Architecture is the process of translating business vision
and strategy into effective enterprise change by creating,
communicating and improving the key requirements, principles and
models that describe the enterprise's future state and enable its
evolution
LEVERAGE ENTERPRISE ARCHITECTURE PRACTICE
Uses and produces
Is supported by
Run on
Enterprise Architecture Domains
Technology Architecture Layer
Information Architecture Layer
Business Architecture Layer
Application Architecture Layer
Start from Business
Architecture:
Strategy Maps
Capability Models
Process Models
19. Integration of Big Data Analytics with IoT & OT Systems to Turn
Insights into Strategic Business Decisions
By: Alaa Mahjoub
EXAMPLE: TRANSPORTATION AGENCY BUSINESS CAPABILITY MODEL WITH
NEW DIGITAL BUSINESS CAPABILITIES
Regulate Operate Business Administration
Manage Demand Develop Projects
Manage Assets Manage Operation Manage
Maintenance
Manage Customers
& Market
Digital Business
Create new Business
Models
Analyse Customers
& Partners
Manage Ecosystem
Players
Manage Contextual
Information
Design & Implement
Digital Services
20. Integration of Big Data Analytics with IoT & OT Systems to Turn
Insights into Strategic Business Decisions
By: Alaa Mahjoub
Digital Business
Create new Business
Models
Analyse Customers &
Partners
Manage Ecosystem
Players
Manage Contextual
Information
Design & Implement
Digital Services
- Persona Development
- Segmentation
- Customer Journey MappingCombine capital assets, partnerships and
resources to generate new ways of
competing
To connect the individual "nodes" in the
ecosystem and support ecosystem
decisions
Understand the customer needs, and
the possibilities of the ecosystem, to
create useful digital services
⁻ Other Transportation Agencies
⁻ Police
⁻ Ambulance
⁻ Smart City
⁻ E-government
⁻ Insurance Companies
⁻ Credit Card Networks
⁻ Vendors
⁻ Clouded Service Providers
⁻ Telecom and Internet Service
Providers
PARTNERING WITH ECOSYSTEM PLAYERS
EXAMPLE OF NEW DIGITAL BUSINESS CAPABILITIES
21. Integration of Big Data Analytics with IoT & OT Systems to Turn
Insights into Strategic Business Decisions
By: Alaa Mahjoub
OT AND IOT PLATFORMA AS CORE BUILDING BLOCKS FOR
ENTERPRISE DIGITAL BUSINESS TRANSFORMATION
Technology
Architecture
Information
Architecture
Business
Architecture
Application
Architecture
The new digital business services differ …
… from the traditional e-business and digital marketing services
because of the specific integration of "things“
IoT Platform
Operational
Technology
Things
OT Platform
Consumer
Things
Operational technology Things refer to enterprise assets, such as manufacturing
equipment, jet turbines and office buildings.
Consumer-oriented Things include smart cars, household appliances and
wearable devices.
22. Integration of Big Data Analytics with IoT & OT Systems to Turn
Insights into Strategic Business Decisions
By: Alaa Mahjoub
What is Digital Business
How to use the enterprise architecture to plan
and implement digital business
Architecture of digital business platform
Use cases: transportation industry digital
business platform
PART I AGENDA
23. Integration of Big Data Analytics with IoT & OT Systems to Turn
Insights into Strategic Business Decisions
By: Alaa Mahjoub
Build Rail
Network
1
TRANSPORTATION DIGITAL BUSINESS PLARFORM USE CASE ILLSTRATIVE EXAMPLE
CONNECTED METRORAIL
Connect IoT
Endpoints
4
Install IoT
Endpoints
(e.g., Turnstiles)
2
Customer
s
Connect
Customer
5
Connect
Ecosystems
6
Install
Digital
Business
Platform
Ecosystems
Platform
IoT Platform
Customer
Experience
Platform
Data &
Analytics
Platform
Information
Systems
Platform
3
24. Integration of Big Data Analytics with IoT & OT Systems to Turn
Insights into Strategic Business Decisions
By: Alaa Mahjoub
USE CASE ILLUSTRATIVE EXAMPLE
COORDINATION OF MULTI-MODAL TRANSPORTATION NETWORK
Coordination of Multi-modal Transportation Network
Integrate with Door to Door Travel as a Service
25. Integration of Big Data Analytics with IoT & OT Systems to Turn
Insights into Strategic Business Decisions
By: Alaa Mahjoub
Part II
How to Integrate Big Data Analytics with IoT and OT
Systems to Turn Insights into Strategic and
Operational Business Decisions
26. Integration of Big Data Analytics with IoT & OT Systems to Turn
Insights into Strategic Business Decisions
By: Alaa Mahjoub
PART II AGENDA
Basic definitions related to big data analytics
Essentials of big data strategy
Use cases of integrating big data analytics with IoT
and IACS
Big data platform integration options and their cost
benefit trade-offs
27. Integration of Big Data Analytics with IoT & OT Systems to Turn
Insights into Strategic Business Decisions
By: Alaa Mahjoub
BUSINESS INTELLEGENCE
An umbrella term that spans the people, processes and
applications/tools to organize information, enable access to it
and analyze it to improve decisions and manage performance
People ToolsProcess
Performance
Information
28. Integration of Big Data Analytics with IoT & OT Systems to Turn
Insights into Strategic Business Decisions
By: Alaa Mahjoub
REAL-TIME OPERATIONAL INTELLIGENCE
A real-time dynamic business analytics that delivers visibility
and insight into data, streaming events and business operations
Orient Decide ActObserve
OODA Loop
29. Integration of Big Data Analytics with IoT & OT Systems to Turn
Insights into Strategic Business Decisions
By: Alaa Mahjoub
BIG DATA
High volume, velocity and/or variety information assets that
demand cost-effective, innovative forms of information
processing that enable enhanced insight, decision making, and
process automation
VarityVelocity
Volume
BIG DATA
30. Integration of Big Data Analytics with IoT & OT Systems to Turn
Insights into Strategic Business Decisions
By: Alaa Mahjoub
Is a specific form of analytics: a collection of related analytics
techniques and tools, usually including predictive analytics, data
mining, statistical analysis, and complex SQL.
Analytics
Advanced
Analytics
ADVANCED ANALYTICS
31. Integration of Big Data Analytics with IoT & OT Systems to Turn
Insights into Strategic Business Decisions
By: Alaa Mahjoub
BIG DATA ANALYTICS
Big data analytics = advanced analytics + big data sets
Big Data Advanced
Analytics
Big Data Analytics
32. Integration of Big Data Analytics with IoT & OT Systems to Turn
Insights into Strategic Business Decisions
By: Alaa Mahjoub
ANALYTIC ASCENDENCY MODEL
33. Integration of Big Data Analytics with IoT & OT Systems to Turn
Insights into Strategic Business Decisions
By: Alaa Mahjoub
Basic definitions related to big data analytics
Essentials of big data strategy
Use cases of integrating big data analytics with IoT
and IACS
Big data platform integration options and their cost
benefit trade-offs
PART II AGENDA
34. Integration of Big Data Analytics with IoT & OT Systems to Turn
Insights into Strategic Business Decisions
By: Alaa Mahjoub
ESSENTIALS OF BIG DATA ENTERPRISE BUSINESS STRATEGY
AND IT STRATEGY
- Identifying potentially valuable
data sources
- Generating ideas for big data
Essentials of Big data Strategy
IT RelatedBusiness Related
- Ensuring infrastructure adequacy
- Expanding analytical capabilities
35. Integration of Big Data Analytics with IoT & OT Systems to Turn
Insights into Strategic Business Decisions
By: Alaa Mahjoub
Basic definitions related to big data analytics
Essentials of big data strategy
Use cases of integrating big data analytics with IoT
and IACS
Big data platform integration options and their cost
benefit trade-offs
PART II AGENDA
36. Integration of Big Data Analytics with IoT & OT Systems to Turn
Insights into Strategic Business Decisions
By: Alaa Mahjoub
INTEGRATION OF BIG DATA ANALYTICS WITH IoT SYSTEMS
USE CASE: TRANSPORT FOR LONDON
- TfL is a Local Government Body
- Responsible for the transport
system in London including:
• Underground
• Over ground
• Rail
• Trams
• Buses
• Taxis
• Cycling
• River services
37. Integration of Big Data Analytics with IoT & OT Systems to Turn
Insights into Strategic Business Decisions
By: Alaa Mahjoub
USE CASE – TRANSPORT FOR LONDON
30 Million journeys/day
19 Million e-card ticketing
system taps/day
14,000 sensors
780 Million events/day
Source: Strata + Hadoop World Conference March 2017
38. Integration of Big Data Analytics with IoT & OT Systems to Turn
Insights into Strategic Business Decisions
By: Alaa Mahjoub
BUSINESS CHALLENGE
Understanding customers’
behaviours and their transport
needs
Planning and providing good
transportation services and
value for money for passengers
Providing information to
customer
39. Integration of Big Data Analytics with IoT & OT Systems to Turn
Insights into Strategic Business Decisions
By: Alaa Mahjoub
MARKET TRENDS
Innovation
Disrupt or be
disrupted
Source: Bus Priority: The London Perspective
http://www.greenerjourneys.com/blog/bus-priority-the-london-perspective/
40. Integration of Big Data Analytics with IoT & OT Systems to Turn
Insights into Strategic Business Decisions
By: Alaa Mahjoub
- Identifying potentially valuable
data sources
- Generating big ideas for big data
- Ensuring infrastructure adequacy
- Expanding analytical capabilities
BIG DATA STRATEGY
IT Related
Essentials of Big data Strategy
Business Related
41. Integration of Big Data Analytics with IoT & OT Systems to Turn
Insights into Strategic Business Decisions
By: Alaa Mahjoub
BIG DATA STRATEGY
Identifying valuable data sources:
Oyster smartcard tickets Contactless payment cards
The Oyster and contactless ticketing systems generate
19 million taps each day that can be used for analysis
Oyster and contactless payment cards
42. Integration of Big Data Analytics with IoT & OT Systems to Turn
Insights into Strategic Business Decisions
By: Alaa Mahjoub
BIG DATA STRATEGY
Identifying valuable data sources: Oyster smartcard tickets
43. Integration of Big Data Analytics with IoT & OT Systems to Turn
Insights into Strategic Business Decisions
By: Alaa Mahjoub
BIG DATA STRATEGY
Contactless payment cardsIdentifying valuable data sources:
44. Integration of Big Data Analytics with IoT & OT Systems to Turn
Insights into Strategic Business Decisions
By: Alaa Mahjoub
BIG DATA STRATEGY
Identifying valuable data sources:
Traffic Counters
Traffic Signals
Smart Parking
Loop Sensors & Red
Light Cameras
Moving vehicles/
Bus Stop Sensors
Social Media
Underground Stations
Cycle hire Bikes Emirates Airlines
Sensors and social media
45. Integration of Big Data Analytics with IoT & OT Systems to Turn
Insights into Strategic Business Decisions
By: Alaa Mahjoub
Emirates Airlines Cable Car
BIG DATA STRATEGY
46. Integration of Big Data Analytics with IoT & OT Systems to Turn
Insights into Strategic Business Decisions
By: Alaa Mahjoub
- Identifying potentially valuable
data sources
- Generating big ideas for big data
- Ensuring infrastructure adequacy
- Expanding analytical capabilities
BIG DATA STRATEGY
IT Related
Essentials of Big data Strategy
Business Related
47. Integration of Big Data Analytics with IoT & OT Systems to Turn
Insights into Strategic Business Decisions
By: Alaa Mahjoub
Generating big ideas for big data:
BIG DATA STRATEGY
48. Integration of Big Data Analytics with IoT & OT Systems to Turn
Insights into Strategic Business Decisions
By: Alaa Mahjoub
Generating big ideas for big data:
BIG DATA STRATEGY
Providing Information to Customers
Source: https://tfl.gov.uk/
49. Integration of Big Data Analytics with IoT & OT Systems to Turn
Insights into Strategic Business Decisions
By: Alaa Mahjoub
Transport for London Journey Planning web site
50. Integration of Big Data Analytics with IoT & OT Systems to Turn
Insights into Strategic Business Decisions
By: Alaa Mahjoub
Generating big ideas for big data:
BIG DATA STRATEGY
Real-time Traffic Control Sensors’ data
Source: Strata + Hadoop World Conference March 2017
51. Integration of Big Data Analytics with IoT & OT Systems to Turn
Insights into Strategic Business Decisions
By: Alaa Mahjoub
Predicting Congestion
Generating big ideas for big data:
BIG DATA STRATEGY
Source: Strata + Hadoop World Conference March 2017
52. Integration of Big Data Analytics with IoT & OT Systems to Turn
Insights into Strategic Business Decisions
By: Alaa Mahjoub
Other big ideas for big data:
BIG DATA STRATEGY
Managing Disrupted Schedules
Offering Personalized News & Travel Updates
Displaying Common Travel Mapping Inferring where someone exited a bus
53. Integration of Big Data Analytics with IoT & OT Systems to Turn
Insights into Strategic Business Decisions
By: Alaa Mahjoub
Generating big ideas for big data:
BIG DATA STRATEGY
Managing Disrupted Schedules
54. Integration of Big Data Analytics with IoT & OT Systems to Turn
Insights into Strategic Business Decisions
By: Alaa Mahjoub
Generating big ideas for big data:
BIG DATA STRATEGY
Offering Personalized News & Travel Updates
55. Integration of Big Data Analytics with IoT & OT Systems to Turn
Insights into Strategic Business Decisions
By: Alaa Mahjoub
Generating big ideas for big data:
BIG DATA STRATEGY
Displaying Common Travel
Mapping
56. Integration of Big Data Analytics with IoT & OT Systems to Turn
Insights into Strategic Business Decisions
By: Alaa Mahjoub
Generating big ideas for big data:
BIG DATA STRATEGY
Inferring where someone exited a bus
57. Integration of Big Data Analytics with IoT & OT Systems to Turn
Insights into Strategic Business Decisions
By: Alaa Mahjoub
MAIN TECHNICAL ARCHITECTURE CAPABILITIES
Things
Integration
Data & Analytics Platform
Amazon S3 (Simple Storage Service)
SQL and No SQL
SOA Platform ‒ WSO2
Data Warehouse - Oracle RDBMS
Resizable compute capacity in the cloud
Spatial - ESRI
Commodity Cloud
Configured Platform Services
Amazon & Google Cloud Offerings
58. Integration of Big Data Analytics with IoT & OT Systems to Turn
Insights into Strategic Business Decisions
By: Alaa Mahjoub
Ecosystems
Platform
IoT Platform
Data &
Analytics
Platform
Information
Systems
Platform
Customer
Experience
Platform
TRANSPORTATION AGENCY CAN USE THE DIGITAL BIASNESS
PLATFORM REFERENCE ARCHITECTURE TO SUPPORT SIMILAR
BUSINESS DEMANDS
59. Integration of Big Data Analytics with IoT & OT Systems to Turn
Insights into Strategic Business Decisions
By: Alaa Mahjoub
Basic definitions related to big data analytics
Essentials of big data strategy
Use cases of integrating big data analytics with IoT
and OT Systems
Big data platform integration options and their cost
benefit trade-offs
PART II AGENDA
60. Integration of Big Data Analytics with IoT & OT Systems to Turn
Insights into Strategic Business Decisions
By: Alaa Mahjoub
WITSML
Servers
PRODML
Servers
OPC Servers
Real-time
Production
Data
Real-time
Drilling data
WITSML
Servers
(Drilling)
OPC Servers
(production)
WITSML
Data
Sources
PRODML
Data
Sources
Field’s
Data
Acquisition
Equipment
SCADA
/DCS
Platforms
PRODML
Servers
(e.g. DTS)
Other OPC
Real-time Data
Fields HeadquarterWide Area
Network
Data Virtualization
Analytics Applications
Business
Intelligence
Data
Warehouse,
ODS, DM
RT Operational
Intelligence
Big Data
Analytics
Big Data
ETL
ESP
MDM
MEM
DQ
ILM
Data
Taxonomy
Auto
Classification
Data
Modelling
Enterprise
Content
Management
Analytics Platform(s)
Data and Analytics Platform
Alerts / Dashboards
INTEGRATION OF BIG DATA ANALYTICS WITH OT SYSTEMS
(USE CASE 2: REAL-TIME DATA STREAM PROCESSING IN INTELLIGENT OILFIELD)
61. Integration of Big Data Analytics with IoT & OT Systems to Turn
Insights into Strategic Business Decisions
By: Alaa Mahjoub
STEP A: REAL-TIME CLEANSING OF IACS (SCADA) DATA
The objective is …
... to filter (in real-time) out bad events generated due to instrumentation
or interface errors, to avoid misleading results and inappropriate
decisions
Out of range values Frozen values
Real-time Data Cleansing
Sensors
Data
High
Quality
Data
Reverse Meter Polarity
62. Integration of Big Data Analytics with IoT & OT Systems to Turn
Insights into Strategic Business Decisions
By: Alaa Mahjoub
High Quality Well Data
- Well ID
- Timestamp
- Oil, Gas, Water Rates
- Choke Position
- Wellhead Pressure
Data
Mapping
STEP B: ANALYSIS OF IACS (SCADA) DATA
Statistical Analysis:
- Summation
- Averaging
- standard division
- Etc.
Pattern Recognition:
E.g. bottom-hole
pressure build-up and
drawdown during
- Shut-in period
- Transit state
- Choke position
change
High Quality Sensors Data
- Sensor ID
- Timestamp
- Measurement Value
63. Integration of Big Data Analytics with IoT & OT Systems to Turn
Insights into Strategic Business Decisions
By: Alaa Mahjoub
Basic definitions related to big data analytics
Essentials of big data strategy
Use cases of integrating big data analytics with IoT
and OT Systems
Big data platform integration options and their cost
benefit trade-offs
PART II AGENDA
64. Integration of Big Data Analytics with IoT & OT Systems to Turn
Insights into Strategic Business Decisions
By: Alaa Mahjoub
BIG DATA PLATFORM INTEGRATION COST BENEFIT TRADEOFFS
Deployment Mode Public
Cloud
Private
Cloud
Hybrid
Cloud
Community
Cloud
In
Premises
Cost
Availability
24/7 technical expertise
On demand scalability
Easy and inexpensive
setup
Data security
Privacy
65. Integration of Big Data Analytics with IoT & OT Systems to Turn
Insights into Strategic Business Decisions
By: Alaa Mahjoub
e-mail: ahmam1@emirates.net.ae
LinkedIn: https://ae.linkedin.com/in/Alaa-Mahjoub
THANK You
Alaa Mahjoub is a data management senior expert with
decades of insightful experience in Transportation, Oil & Gas,
Utility and Defense.
Participated as a leading contributor to the Enterprise
Information Management (EIM), Enterprise Architecture (EA)
and Industrial Automation & Control Systems (IACS) Programs
in, ADCO, TRANSCO and DoT.
Led the transformation of the control and information systems’
architecture during the restructuring of the water & electricity
sector in the Emirate of Abu Dhabi.
He is a holder of B.Sc. and M.Sc. in Computer Engineering
and has numerous research publications in credit in Digital
Energy, Transportation and Data Management.