86% of German executives indicate at least some degree of gaps in IT skills at their business exists. 69% of German executives believe the cybersecurity threat level is increasing. Find out more on how companies are adopting new technology and how it's impacting their workforce.
Industrial internet big data german market studySari Ojala
The document provides a market evaluation report on business opportunities in data analytics software and related services in Germany. It discusses the scope, definitions, and structure of the report. Key topics covered include big data, IoT, industry 4.0, data analytics, vertical markets, customer readiness, the competitive environment, and use cases. The report aims to assess market entry opportunities with a focus on how German small and medium-sized businesses can leverage data to gain competitive advantages.
Industrial internet big data usa market studySari Ojala
The document discusses the industrial internet market validation study. It defines key terms like industrial internet, internet of things, big data, and internet of everything. The industrial internet involves integrating physical machinery with sensors and software to ingest and analyze machine data in real-time. There are several challenges to the industrial internet's adoption, including skills shortages, security concerns, and limited data analysis capabilities. However, the market size is immense, estimated at $29.8 trillion in global output affected. The outlook for Finnish companies in data analytics and visualization is positive given their expertise.
Jesus Rodriguez introduces an IoT platform as a service (PaaS) to address challenges facing enterprises implementing IoT solutions at scale. The presentation outlines the massive market opportunity of IoT but also connectivity, integration, data, scalability, analytics, security and other challenges. The proposed IoT PaaS model includes components for protocol brokering, event processing, storage, simulation, rules engines, real-time analytics and security to provide a common infrastructure and simplify building industrial IoT solutions. Key benefits are a uniform communication layer for heterogeneous devices and simpler, more agile development of industrial IoT projects.
Big data represents one of the most profound and most pervasive evolutions in the digital world. Examples of big data come from Internet of Things (IoT) devices, as well as smart cars, but also the use of social networks, industries, and so on. The sources of data are numerous and continuously increasing, and, therefore, what characterizes big data is not only the volume but also the complexity due to the heterogeneity of information that can be obtained. The fastest growth in spending on big data technologies is happening within banking, healthcare, insurance, securities and investment services, and telecommunications. Remarkably, three of those industries lie within the financial sector, which has many particularly serviceable use cases for big data analytics, such as fraud detection, risk management, and customer service optimization. In fact, the definition of big data analysis refers to the process that encompasses the gathering and analysis of big data to obtain useful information for the business. This paper focuses on delivering a short review concerning the current technologies, future perspectives, and the evaluation of some use cased associated with the analysis of big data.
Demystifying Machine Learning for Manufacturing: Data Science for allInfosys
This document discusses using machine learning and analytics for manufacturing applications. It begins with an overview of industry 4.0 and the increasing connectivity in manufacturing through technologies like the industrial internet of things. It then discusses how machine learning techniques like classification, regression, clustering and dimensionality reduction can be applied to common use cases in manufacturing around areas like order to cash, core manufacturing, and procure to pay. Specific case studies are presented on using machine learning for energy optimization at Infosys campuses and predicting churn for a automotive manufacturer's connected vehicle subscription services. Visualization and condition-based monitoring using artificial intelligence are also discussed.
ACFE Presentation on Analytics for Fraud Detection and MitigationScott Mongeau
This document discusses continuous fraud monitoring and detection through advanced analytics. It covers trends in analytics including diagnostics, network analytics, and issues with analytics. It also discusses descriptive, predictive, and prescriptive fraud analytics as an integrated process done at an industrial scale. Finally, it discusses advanced analytics methods like supervised modeling, unsupervised discovery, rules-based approaches, outlier detection, and more.
Any business having unsecured revolving balances have to worry about potential fraud. Why? Fraud occurences typically show an inverse proportion to an organization's customer centricity, ie, more customer centricity higher the likelihhod of a fraud occurring.
Fraud Management_CAS_Presentation_Oct2016Mark Jones
1. The presentation discusses insurance fraud management and how companies can improve their fraud detection approaches. It provides examples of insurance fraud cases and statistics on the growing costs of fraud.
2. It outlines how companies currently manage fraud through special investigations units (SIUs) but notes challenges with justifying the costs. The presentation proposes three opportunities to create greater value: improving claims and SIU technology, outsourcing SIUs, and developing new analytical approaches.
3. It demonstrates how machine learning and other advanced analytics can be used in various stages of the fraud management process from detection to investigation to quantification. Combining human and machine intelligence through continuous learning is presented as a way to improve fraud management outcomes.
Industrial internet big data german market studySari Ojala
The document provides a market evaluation report on business opportunities in data analytics software and related services in Germany. It discusses the scope, definitions, and structure of the report. Key topics covered include big data, IoT, industry 4.0, data analytics, vertical markets, customer readiness, the competitive environment, and use cases. The report aims to assess market entry opportunities with a focus on how German small and medium-sized businesses can leverage data to gain competitive advantages.
Industrial internet big data usa market studySari Ojala
The document discusses the industrial internet market validation study. It defines key terms like industrial internet, internet of things, big data, and internet of everything. The industrial internet involves integrating physical machinery with sensors and software to ingest and analyze machine data in real-time. There are several challenges to the industrial internet's adoption, including skills shortages, security concerns, and limited data analysis capabilities. However, the market size is immense, estimated at $29.8 trillion in global output affected. The outlook for Finnish companies in data analytics and visualization is positive given their expertise.
Jesus Rodriguez introduces an IoT platform as a service (PaaS) to address challenges facing enterprises implementing IoT solutions at scale. The presentation outlines the massive market opportunity of IoT but also connectivity, integration, data, scalability, analytics, security and other challenges. The proposed IoT PaaS model includes components for protocol brokering, event processing, storage, simulation, rules engines, real-time analytics and security to provide a common infrastructure and simplify building industrial IoT solutions. Key benefits are a uniform communication layer for heterogeneous devices and simpler, more agile development of industrial IoT projects.
Big data represents one of the most profound and most pervasive evolutions in the digital world. Examples of big data come from Internet of Things (IoT) devices, as well as smart cars, but also the use of social networks, industries, and so on. The sources of data are numerous and continuously increasing, and, therefore, what characterizes big data is not only the volume but also the complexity due to the heterogeneity of information that can be obtained. The fastest growth in spending on big data technologies is happening within banking, healthcare, insurance, securities and investment services, and telecommunications. Remarkably, three of those industries lie within the financial sector, which has many particularly serviceable use cases for big data analytics, such as fraud detection, risk management, and customer service optimization. In fact, the definition of big data analysis refers to the process that encompasses the gathering and analysis of big data to obtain useful information for the business. This paper focuses on delivering a short review concerning the current technologies, future perspectives, and the evaluation of some use cased associated with the analysis of big data.
Demystifying Machine Learning for Manufacturing: Data Science for allInfosys
This document discusses using machine learning and analytics for manufacturing applications. It begins with an overview of industry 4.0 and the increasing connectivity in manufacturing through technologies like the industrial internet of things. It then discusses how machine learning techniques like classification, regression, clustering and dimensionality reduction can be applied to common use cases in manufacturing around areas like order to cash, core manufacturing, and procure to pay. Specific case studies are presented on using machine learning for energy optimization at Infosys campuses and predicting churn for a automotive manufacturer's connected vehicle subscription services. Visualization and condition-based monitoring using artificial intelligence are also discussed.
ACFE Presentation on Analytics for Fraud Detection and MitigationScott Mongeau
This document discusses continuous fraud monitoring and detection through advanced analytics. It covers trends in analytics including diagnostics, network analytics, and issues with analytics. It also discusses descriptive, predictive, and prescriptive fraud analytics as an integrated process done at an industrial scale. Finally, it discusses advanced analytics methods like supervised modeling, unsupervised discovery, rules-based approaches, outlier detection, and more.
Any business having unsecured revolving balances have to worry about potential fraud. Why? Fraud occurences typically show an inverse proportion to an organization's customer centricity, ie, more customer centricity higher the likelihhod of a fraud occurring.
Fraud Management_CAS_Presentation_Oct2016Mark Jones
1. The presentation discusses insurance fraud management and how companies can improve their fraud detection approaches. It provides examples of insurance fraud cases and statistics on the growing costs of fraud.
2. It outlines how companies currently manage fraud through special investigations units (SIUs) but notes challenges with justifying the costs. The presentation proposes three opportunities to create greater value: improving claims and SIU technology, outsourcing SIUs, and developing new analytical approaches.
3. It demonstrates how machine learning and other advanced analytics can be used in various stages of the fraud management process from detection to investigation to quantification. Combining human and machine intelligence through continuous learning is presented as a way to improve fraud management outcomes.
Attaining IoT Value: How To Move from Connecting Things to Capturing InsightsSustainable Brands
Cisco estimates that the Internet of Everything (IoE) — the networked connection of people, process, data, and things — will generate $19 trillion in Value at Stake for the private and public sectors combined between 2013 and 2022. More than 42 percent of this value — $8 trillion — will come from one of IoE’s chief enablers, the Internet of Things (IoT). Defined by Cisco as “the intelligent connectivity of physical devices, driving massive gains in efficiency, business growth, and quality of life,” IoT often represents the quickest path to IoE value for private and public sector organizations.
This paper combines original and secondary research, as well as economic analysis, to provide a roadmap for maximizing value from IoT investments. It also explains why, in the worlds of IoT and IoE, the combination of edge computing/analytics and data center/cloud is essential to driving actionable insights that produce improved business outcomes.
Learn about Addressing Storage Challenges to Support Business Analytics and Big Data Workloads and how Storage teams, IT executives, and business users will benefit by recognizing that deploying appropriate storage infrastructure to support a wide range of business analytics workloads will require constant evaluation and willingness to adjust the infrastructure as needed. For more information on IBM Storage Systems, visit http://ibm.co/LIg7gk.
Visit the official Scribd Channel of IBM India Smarter Computing at http://bit.ly/VwO86R to get access to more documents.
The document discusses how cloud computing can help transform the banking industry. It notes that customers now demand more convenience and control, and banks face challenges like increased competition and regulatory pressures. Cloud computing offers banks opportunities to develop new customer experiences, enable collaboration, improve speed to market, and increase efficiency. Examples are provided of how cloud solutions have helped a mortgage company improve customer satisfaction while reducing costs and increasing revenues. The document argues that cloud computing allows banks to reinvent their business models and operations in order to better serve customers and drive growth.
Boosting insurance claims pay out efficiencyVarun Mittal
This solution expedites and streamlines insurance claims payout processes through leveraging artificial intelligence, which in turn reduces human errors and administrative costs.
Technology Innovation Trends In Insurance | Navdeep Arora Navdeep Arora
This presentation talks about ‘Technology Innovation Trends In Insurance’. This covers seven themes that are reshaping supply & demand of #insurance globally, premium & profit pools are migrating across the #insurance value chain. Explains how value creation opportunities are different across mature & developing markets, how #technology & digital capabilities that target value chain effectiveness (not just scale efficiencies) offer compelling #investment opportunities. Also has #InsurTech levers and start-up examples in non-life insurance and life insurance.
1. The document provides an overview of Hadoop and big data technologies, use cases, common components, challenges, and considerations for implementing a big data initiative.
2. Financial and IT analytics are currently the top planned use cases for big data technologies according to Forrester Research. Hadoop is an open source software framework for distributed storage and processing of large datasets across clusters of computers.
3. Organizations face challenges in implementing big data initiatives including skills gaps, data management issues, and high costs of hardware, personnel, and supporting new technologies. Careful planning is required to realize value from big data.
How Manufacturers Can Unlock Business Value via IoT AnalyticsCognizant
Internet of Things (IoT) analytics presents manufacturers with a vast opportunity to drive revenues and enhance operations, from real-time analytics at the edge of technologies (consumer products, instrumented devices, manufacturing machines, etc.) through systems to evaluate and act on the plethora of detailed insights IoT provides. We offer a roadmap for manufacturers to pursue this crucial monetizing analytics opportunity.
The document discusses business intelligence and analytics in India, including trends, challenges, and growth. It notes that while the industry in India is growing, it faces challenges like a lack of relevant data, shortage of skilled workers, fragmented market, and need for more domain-specific education. However, trends like a growing focus on industries like retail and banking, and increased use of mobile business intelligence, are supporting the growth of the industry. The industry is expected to reach revenues of $140 million in India by 2014.
Getting Started in Big Data-Fueled E-Commercejradisson
Presentation to Outdoor Industry at the European Outdoor Summit, 17 October 2013 in Stockholm.
Abstract from the event program:
"Everywhere you turn these days there is a story on the promise of Big Data. Fact is, there is a wave of innovation in Big Data technologies under way that will affect our business. But are we really having a clear idea on how to use it to create new business?
Here in Europe, we're selling against Amazon, Google and other algorithmic commpetitors using spreadsheets and other manual methods. Nobody is talking about concrete use-cases or generating any new business value from Big Data. Until now.... Listen to Jason Radisson, in charge of a complex and forward looking initiative from Sport Scheck to grasp the huge untapped potential of tomorrow's e-commerce consumers."
This document contains confidential information about Dataforce Interact Limited (DFI), an insurance services company. DFI provides motor and health insurance claims management, technology and software solutions, and document processing services from several locations in the UK. Some of DFI's software products include Arbiter for determining fault in accidents, Jigsaw for vehicle specifications, Auto Damage Assessment for estimating repairs, and Evaluate for analyzing credit hire claims.
Information technology by Hiresh Ahluwalia333jack333
IT refers to the use of electronic computers and computer software to store, process, transmit and retrieve information. Some key applications of IT include:
1. Banking - IT has enabled online/mobile banking and improved efficiency of banking operations.
2. Railways - IT is used for tracking, scheduling, monitoring railway traffic as well as design, construction and maintenance.
3. Business - Computers are widely used for record keeping, inventory management, forecasting, billing, payments and financial reporting in businesses.
4. Marketing - Businesses use databases, customer relationship management tools, and data analytics for targeted marketing, improving customer relationships and sales.
Blocks & Bots - Digital Summit Harvard Business School 2015Mona M. Vernon
The document discusses building data science capabilities at Thomson Reuters. It introduces the Data Innovation Lab, which works on agile data science projects using lean sprints. The lab focuses on delivering insights to customers through proof-of-concepts and analytical models. It also discusses challenges in data monetization like finding reliable data sources and establishing rights to externalize data. Recent projects demonstrated include linking disparate data using PermIDs, predicting patent litigation risk through machine learning, and visualizing relationships between food insecurity and political instability.
Industrial revolutions are momentous events. By most reckonings, there have been only three. The first was triggered in the 1700s by the commercial steam engine and the mechanical loom. The harnessing of electricity and mass production sparked the second, around the start of the 20th century. The computer set the third in motion after World War II.
It might seem too soon to proclaim that the fourth industrial revolution, spurred by interconnected digital technology, has begun. But Henning Kagermann, the head of the German National Academy of Science and Engineering (Acatech), did exactly that in 2011, when he used the term Industrie 4.0 to describe a proposed government-sponsored industrial initiative.
When you look closely at the rapid pace of digitization in industry today, the name doesn’t seem hyperbolic at all. It is a signal of sweeping change that is rapidly transforming many companies and may catch others by surprise.
Catalyst Investors has a long-standing history investing in businesses at the intersection of SaaS and financial services & technology, with most recent examples including MINDBODY (payments & business management SaaS for health & wellness businesses), Clinicient (revenue cycle management collections, EMR, and practice management SaaS for physical & occupational therapists), and Fusion Risk Management (business continuity SaaS sold to financial institutions and other F1000 enterprises). Lately, Catalyst has spent more time researching the FinTech sector and has published two reports to broadcast the team’s findings:
• FinTech Market Overview – a primer that segments the FinTech ecosystem based on end-market and business model (e.g., enablers vs. replacers)
• Enterprise Financial Management: Solutions for the Office of the CFO – a deeper look into software and tech-enabled services enabling businesses and their finance function to work more efficiently
This document discusses several emerging technologies and trends that will impact IT strategies in 2015 and beyond. It begins by noting that technologies are advancing rapidly and could potentially help or harm humanity. Several themes are then discussed, including the growing importance of design thinking for innovation, the hyperconnected economy and on-demand business models, the Internet of Things, and the "re-enterprization" of IT through platforms and ecosystems. The document emphasizes that IT strategies must focus on engaging customers through emotional experiences and bonding systems, while also governing systems securely through architecture and risk management.
Cognizant is the only company to earn a place in the list of Forbes fastest growing technology companies every year since the list’s inception. Its intriguing growth leaves us inquisitive – is there a framework to excel? Has Cognizant found the same? It is known that the book Built to Last by Jim Collins and Jerry Porras influenced Francisco D’Souza (CEO of Cognizant) the most. He is committed to establish a “cult like” culture focused on core values. But, beyond this, does their dual mandate of run better and run different have any role in their monumental growth? Cognizant is not only preaching about helping their clients to transform in order to run better and run different but also walking the talk by practicing the dual mandate within organization from its early days. This paper digs into Cognizant’s history and current trends to understand what they have done to run better and run different.
Webinar on 4th Industrial Revolution, IoT and RPARedwan Ferdous
This is a summarized presentation on the 4th Industrial Revolution, the Internet of Things and Robotic Process Automation (RPA). especially for the undergrad students and recent graduates for getting an overview of the topics-based on global and local trends. Maximum contents are from online and those are cited with due respect at the end 3 slides.
The webinar was arranged by IEEE ISTT Student Branch, Bangladesh on 15th May 2020. The session was 2 hours long.
Note: Slide# 6 ~ 42 was taken from one of my earlier sessions, presented for the IEEE RU Student Branch. That slide can be found here: https://www.slideshare.net/RedwanFerdous/roadmap-to-4th-industrial-revolutioniot-iiot
Dr. Jimmy Schwarzkopf has over 38 years of experience in various areas of the IT industry, including as an industry analyst, academic researcher, consultant, systems professional, and entrepreneur. He has founded three IT companies, including STKI, which provides market research and strategic analysis for the Israeli IT market. STKI uses an equilibrium model to obtain a holistic view of the IT market from both users and vendors. They conduct thousands of interviews annually to track spending trends and IT budgets across industry verticals. STKI also analyzes the hardware, software, and services markets in Israel to provide insights into market size, players, and forecasts.
The document summarizes Dr. Jimmy Schwarzkopf's background and experience in the IT industry over 38 years. It also provides an overview of STKI, the market research firm he founded, including its goals, methodology, services, and the Israeli IT market research it conducts covering hardware, software, and value-added services. STKI aims to help clients make strategic IT decisions by providing market data and analysis based on thousands of annual interviews with industry participants.
International Technology Adoption & Workforce Issues Study - Middle East SummaryCompTIA
International Technology Adoption and Workforce Issues Study for the Middle East
The study explored technology adoption, IT priorities, skills gaps, and training practices in the Middle East. Key findings include:
1) Top IT priorities for Middle Eastern businesses are IT security, updating aging computers/software, and automating business processes.
2) Over half of Middle Eastern businesses have adopted cloud computing to some degree, but face hurdles like unreliable internet access.
3) 85% of businesses believe the cybersecurity threat level is increasing due to factors like more internet-based applications.
4) Most IT staff received training in the past year, and certifications are expected to increase in importance.
International Technology Adoption & Workforce Issues Study - Canadian SummaryCompTIA
90% of Canadian executives indicate at least some degree of gaps in IT skills at their business exists. 59% of UK executives believe the cybersecurity threat level is increasing. Find out more on how companies are adopting new technology and how it's impacting their workforce.
Attaining IoT Value: How To Move from Connecting Things to Capturing InsightsSustainable Brands
Cisco estimates that the Internet of Everything (IoE) — the networked connection of people, process, data, and things — will generate $19 trillion in Value at Stake for the private and public sectors combined between 2013 and 2022. More than 42 percent of this value — $8 trillion — will come from one of IoE’s chief enablers, the Internet of Things (IoT). Defined by Cisco as “the intelligent connectivity of physical devices, driving massive gains in efficiency, business growth, and quality of life,” IoT often represents the quickest path to IoE value for private and public sector organizations.
This paper combines original and secondary research, as well as economic analysis, to provide a roadmap for maximizing value from IoT investments. It also explains why, in the worlds of IoT and IoE, the combination of edge computing/analytics and data center/cloud is essential to driving actionable insights that produce improved business outcomes.
Learn about Addressing Storage Challenges to Support Business Analytics and Big Data Workloads and how Storage teams, IT executives, and business users will benefit by recognizing that deploying appropriate storage infrastructure to support a wide range of business analytics workloads will require constant evaluation and willingness to adjust the infrastructure as needed. For more information on IBM Storage Systems, visit http://ibm.co/LIg7gk.
Visit the official Scribd Channel of IBM India Smarter Computing at http://bit.ly/VwO86R to get access to more documents.
The document discusses how cloud computing can help transform the banking industry. It notes that customers now demand more convenience and control, and banks face challenges like increased competition and regulatory pressures. Cloud computing offers banks opportunities to develop new customer experiences, enable collaboration, improve speed to market, and increase efficiency. Examples are provided of how cloud solutions have helped a mortgage company improve customer satisfaction while reducing costs and increasing revenues. The document argues that cloud computing allows banks to reinvent their business models and operations in order to better serve customers and drive growth.
Boosting insurance claims pay out efficiencyVarun Mittal
This solution expedites and streamlines insurance claims payout processes through leveraging artificial intelligence, which in turn reduces human errors and administrative costs.
Technology Innovation Trends In Insurance | Navdeep Arora Navdeep Arora
This presentation talks about ‘Technology Innovation Trends In Insurance’. This covers seven themes that are reshaping supply & demand of #insurance globally, premium & profit pools are migrating across the #insurance value chain. Explains how value creation opportunities are different across mature & developing markets, how #technology & digital capabilities that target value chain effectiveness (not just scale efficiencies) offer compelling #investment opportunities. Also has #InsurTech levers and start-up examples in non-life insurance and life insurance.
1. The document provides an overview of Hadoop and big data technologies, use cases, common components, challenges, and considerations for implementing a big data initiative.
2. Financial and IT analytics are currently the top planned use cases for big data technologies according to Forrester Research. Hadoop is an open source software framework for distributed storage and processing of large datasets across clusters of computers.
3. Organizations face challenges in implementing big data initiatives including skills gaps, data management issues, and high costs of hardware, personnel, and supporting new technologies. Careful planning is required to realize value from big data.
How Manufacturers Can Unlock Business Value via IoT AnalyticsCognizant
Internet of Things (IoT) analytics presents manufacturers with a vast opportunity to drive revenues and enhance operations, from real-time analytics at the edge of technologies (consumer products, instrumented devices, manufacturing machines, etc.) through systems to evaluate and act on the plethora of detailed insights IoT provides. We offer a roadmap for manufacturers to pursue this crucial monetizing analytics opportunity.
The document discusses business intelligence and analytics in India, including trends, challenges, and growth. It notes that while the industry in India is growing, it faces challenges like a lack of relevant data, shortage of skilled workers, fragmented market, and need for more domain-specific education. However, trends like a growing focus on industries like retail and banking, and increased use of mobile business intelligence, are supporting the growth of the industry. The industry is expected to reach revenues of $140 million in India by 2014.
Getting Started in Big Data-Fueled E-Commercejradisson
Presentation to Outdoor Industry at the European Outdoor Summit, 17 October 2013 in Stockholm.
Abstract from the event program:
"Everywhere you turn these days there is a story on the promise of Big Data. Fact is, there is a wave of innovation in Big Data technologies under way that will affect our business. But are we really having a clear idea on how to use it to create new business?
Here in Europe, we're selling against Amazon, Google and other algorithmic commpetitors using spreadsheets and other manual methods. Nobody is talking about concrete use-cases or generating any new business value from Big Data. Until now.... Listen to Jason Radisson, in charge of a complex and forward looking initiative from Sport Scheck to grasp the huge untapped potential of tomorrow's e-commerce consumers."
This document contains confidential information about Dataforce Interact Limited (DFI), an insurance services company. DFI provides motor and health insurance claims management, technology and software solutions, and document processing services from several locations in the UK. Some of DFI's software products include Arbiter for determining fault in accidents, Jigsaw for vehicle specifications, Auto Damage Assessment for estimating repairs, and Evaluate for analyzing credit hire claims.
Information technology by Hiresh Ahluwalia333jack333
IT refers to the use of electronic computers and computer software to store, process, transmit and retrieve information. Some key applications of IT include:
1. Banking - IT has enabled online/mobile banking and improved efficiency of banking operations.
2. Railways - IT is used for tracking, scheduling, monitoring railway traffic as well as design, construction and maintenance.
3. Business - Computers are widely used for record keeping, inventory management, forecasting, billing, payments and financial reporting in businesses.
4. Marketing - Businesses use databases, customer relationship management tools, and data analytics for targeted marketing, improving customer relationships and sales.
Blocks & Bots - Digital Summit Harvard Business School 2015Mona M. Vernon
The document discusses building data science capabilities at Thomson Reuters. It introduces the Data Innovation Lab, which works on agile data science projects using lean sprints. The lab focuses on delivering insights to customers through proof-of-concepts and analytical models. It also discusses challenges in data monetization like finding reliable data sources and establishing rights to externalize data. Recent projects demonstrated include linking disparate data using PermIDs, predicting patent litigation risk through machine learning, and visualizing relationships between food insecurity and political instability.
Industrial revolutions are momentous events. By most reckonings, there have been only three. The first was triggered in the 1700s by the commercial steam engine and the mechanical loom. The harnessing of electricity and mass production sparked the second, around the start of the 20th century. The computer set the third in motion after World War II.
It might seem too soon to proclaim that the fourth industrial revolution, spurred by interconnected digital technology, has begun. But Henning Kagermann, the head of the German National Academy of Science and Engineering (Acatech), did exactly that in 2011, when he used the term Industrie 4.0 to describe a proposed government-sponsored industrial initiative.
When you look closely at the rapid pace of digitization in industry today, the name doesn’t seem hyperbolic at all. It is a signal of sweeping change that is rapidly transforming many companies and may catch others by surprise.
Catalyst Investors has a long-standing history investing in businesses at the intersection of SaaS and financial services & technology, with most recent examples including MINDBODY (payments & business management SaaS for health & wellness businesses), Clinicient (revenue cycle management collections, EMR, and practice management SaaS for physical & occupational therapists), and Fusion Risk Management (business continuity SaaS sold to financial institutions and other F1000 enterprises). Lately, Catalyst has spent more time researching the FinTech sector and has published two reports to broadcast the team’s findings:
• FinTech Market Overview – a primer that segments the FinTech ecosystem based on end-market and business model (e.g., enablers vs. replacers)
• Enterprise Financial Management: Solutions for the Office of the CFO – a deeper look into software and tech-enabled services enabling businesses and their finance function to work more efficiently
This document discusses several emerging technologies and trends that will impact IT strategies in 2015 and beyond. It begins by noting that technologies are advancing rapidly and could potentially help or harm humanity. Several themes are then discussed, including the growing importance of design thinking for innovation, the hyperconnected economy and on-demand business models, the Internet of Things, and the "re-enterprization" of IT through platforms and ecosystems. The document emphasizes that IT strategies must focus on engaging customers through emotional experiences and bonding systems, while also governing systems securely through architecture and risk management.
Cognizant is the only company to earn a place in the list of Forbes fastest growing technology companies every year since the list’s inception. Its intriguing growth leaves us inquisitive – is there a framework to excel? Has Cognizant found the same? It is known that the book Built to Last by Jim Collins and Jerry Porras influenced Francisco D’Souza (CEO of Cognizant) the most. He is committed to establish a “cult like” culture focused on core values. But, beyond this, does their dual mandate of run better and run different have any role in their monumental growth? Cognizant is not only preaching about helping their clients to transform in order to run better and run different but also walking the talk by practicing the dual mandate within organization from its early days. This paper digs into Cognizant’s history and current trends to understand what they have done to run better and run different.
Webinar on 4th Industrial Revolution, IoT and RPARedwan Ferdous
This is a summarized presentation on the 4th Industrial Revolution, the Internet of Things and Robotic Process Automation (RPA). especially for the undergrad students and recent graduates for getting an overview of the topics-based on global and local trends. Maximum contents are from online and those are cited with due respect at the end 3 slides.
The webinar was arranged by IEEE ISTT Student Branch, Bangladesh on 15th May 2020. The session was 2 hours long.
Note: Slide# 6 ~ 42 was taken from one of my earlier sessions, presented for the IEEE RU Student Branch. That slide can be found here: https://www.slideshare.net/RedwanFerdous/roadmap-to-4th-industrial-revolutioniot-iiot
Dr. Jimmy Schwarzkopf has over 38 years of experience in various areas of the IT industry, including as an industry analyst, academic researcher, consultant, systems professional, and entrepreneur. He has founded three IT companies, including STKI, which provides market research and strategic analysis for the Israeli IT market. STKI uses an equilibrium model to obtain a holistic view of the IT market from both users and vendors. They conduct thousands of interviews annually to track spending trends and IT budgets across industry verticals. STKI also analyzes the hardware, software, and services markets in Israel to provide insights into market size, players, and forecasts.
The document summarizes Dr. Jimmy Schwarzkopf's background and experience in the IT industry over 38 years. It also provides an overview of STKI, the market research firm he founded, including its goals, methodology, services, and the Israeli IT market research it conducts covering hardware, software, and value-added services. STKI aims to help clients make strategic IT decisions by providing market data and analysis based on thousands of annual interviews with industry participants.
International Technology Adoption & Workforce Issues Study - Middle East SummaryCompTIA
International Technology Adoption and Workforce Issues Study for the Middle East
The study explored technology adoption, IT priorities, skills gaps, and training practices in the Middle East. Key findings include:
1) Top IT priorities for Middle Eastern businesses are IT security, updating aging computers/software, and automating business processes.
2) Over half of Middle Eastern businesses have adopted cloud computing to some degree, but face hurdles like unreliable internet access.
3) 85% of businesses believe the cybersecurity threat level is increasing due to factors like more internet-based applications.
4) Most IT staff received training in the past year, and certifications are expected to increase in importance.
International Technology Adoption & Workforce Issues Study - Canadian SummaryCompTIA
90% of Canadian executives indicate at least some degree of gaps in IT skills at their business exists. 59% of UK executives believe the cybersecurity threat level is increasing. Find out more on how companies are adopting new technology and how it's impacting their workforce.
International Technology Adoption & Workforce Issues Study - Brazilian SummaryCompTIA
86% of Brazilian executives indicate at least some degree of gaps in IT skills at their business exists. 88% of Brazilian executives believe the cybersecurity threat level is increasing. Find out more on how companies are adopting new technology and how it's impacting their workforce.
International Technology Adoption & Workforce Issues Study - Thailand SummaryCompTIA
- 68% of Thai executives report some degree of IT skills gaps at their businesses, with security skills being a top area of weakness
- Nearly all (97%) Thai IT staff received training in the past year, and certifications are expected to increase in importance
- Over half (52%) of Thai businesses plan to increase IT staff in 2013 due to skills shortages, though many expect challenges finding qualified workers
International Technology Adoption & Workforce Issues Study - Japan SummaryCompTIA
This document provides a summary of key findings from a CompTIA study on technology adoption and workforce issues in Japan:
- Top IT priorities for Japanese businesses include IT security, data storage/backup, mobility initiatives, and network infrastructure.
- Over half of Japanese executives believe the cybersecurity threat level has increased, with human error seen as a growing factor.
- Nearly all Japanese businesses report some degree of IT skills gaps, negatively impacting areas like security and productivity.
- Most IT staff in Japanese companies receive training, and certifications are generally valued but not always required.
- The majority of Japanese businesses expect the importance of IT certifications to increase over the next two years.
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2. About this Research
CompTIA’s International Technology Adoption and Workforce Issues study was conducted to collect and share information on technology adoption and
workforce trends across several countries. The objectives of this research include:
• Explore business and information technology (IT) priorities among organizations
• Examine the usage of key technologies/solutions and IT services such as security and cloud computing
• Identify which IT skills are most important to employers and if there are any skills gap issues or staffing concerns
• Evaluate professional development practices such as training and certification
The data for this study was collected via a quantitative online survey conducted February 22 to March 23, 2013 among 1,256 IT and business executives
directly involved in setting or executing information technology policies and processes within their organizations. The 10 countries covered in this study
include:
Brazil (n=125); Canada (n=125); France (n=125); Germany (n=131); India (n=125); Japan (n=125); Mexico (n=125); Middle East Subset (Oman, Saudi
Arabia, United Arab Emirates) (n=125); Thailand (n=125); United Kingdom (n=125)
Surveys were localized and translated to allow respondents to participate in their native language. Additionally, precautions were taken to minimize
misinterpretations of questions. However, research has shown, cultural differences exist and can affect responses to certain question types, such as 5-
point satisfaction rating questions. Viewers of this report should keep that in mind when comparing results across countries.
The margin of sampling error at 95% confidence for aggregate results is +/- 2.8 percentage points. Sampling error is larger for subgroups of the data,
such as individual countries where it is +/- 8.9 percentage points. As with any survey, sampling error is only one source of possible error. While non-
sampling error cannot be accurately calculated, precautionary steps were taken in all phases of the survey design, collection and processing of the data
to minimize its influence. Note: because data collection occurred via an online survey, in countries where Internet penetration is lower among
businesses, the non-sampling error could be higher.
CompTIA is responsible for all content contained in this series. Any questions regarding the study should be directed to CompTIA Market Research staff
at research@comptia.org.
CompTIA is a member of the Marketing Research Association (MRA) and adheres to the MRA’s Code of Market Research Ethics and Standards.
3. Key IT Priorities for German Businesses:
1. IT security
2. Data storage/back-up
3. Network infrastructure
4. Updating aging computers/software
5. Disaster recovery/business continuity
Key Summary Points: Germany
Key Stats for Germany
$39,100 GDP per capita (PPP) | world rank: 26th
0.61% GDP growth forecast for 2013
40%
% of German executives expecting 2013 business
conditions to be better than 2012
44.01m Total workforce
74% % of workforce employed in the services sector
0.708m Estimate of IT workforce* in core IT occupations
29%
% of German executives expecting to increase IT
staff headcount at their business in 2013
65.125m Internet users | world rank: 5th
108.7m Mobile phone users | world rank: 10th
78%
NET % of German executives indicating IT is
important to the success of their business
4.3% Planned increase in IT spending in 2013 (YOY)
Key Strategic Priorities for German Businesses:
1. Reach new customers
2. Improve staff productivity/capabilities
3. Reduce costs/overhead
Cybersecurity:
69% of German executives believe the cybersecurity threat level is
increasing. Additionally, 47% of German executives believe human
error is a growing factor in security security incidents: Top human error
related factors include:
1. General negligence / carelessness towards security
2. Increased use of social media by staff
IT Skills Gaps:
86% of German executives indicate at least some degree of gaps in IT
skills at their business exists. For 41%, the reported skills gaps are
small, while for 45% the gaps are more extensive. Top negative effects
of IT skills gaps at German businesses:
1. Security / defending against malware, hacking, etc.
2. Poor customer service/engagement
IT Training and Certification:
84% of IT staff at German businesses engaged in some type of IT
training during the past 12 months.
1. 59% of German executives believe IT certifications will increase in
importance over the next two years; 39% believe IT certifications’
importance will remain constant
2. 85% of German executives believe it’s important to test after
training to confirm knowledge gains
Sources used for above stats: CompTIA, IMF, CIA World Factbook, IDC
*See appendix for definition of core IT occupations
5. Strategic Priorities Include Tech Component
Base: 1,244 business and IT executives from Brazil, Canada, France,
Germany, India, Japan, Mexico, Middle East, Thailand and the UK
Source: CompTIA International Technology Adoption and Workforce Issues study
20%
76%
20%
78%
Overall
Germany
Top Strategic Priorities Among
German Businesses for 2013
NET
Unimportant
NET
Important
Neutral
1. Reach new customers
2. Improve staff productivity/capabilities
3. Reduce costs/overhead
4. Innovate more effectively
5. Improve use of data analytics to make
better business decisions
40% of German executives in this CompTIA
survey say business conditions are improving
and expect 2013 to be better than 2012.
75% expect to increase their expenditure on
IT products and services over the next 12
months.
Importance of Technology to German
Business Success Trends Upwards
6. Many Businesses Seek to Improve Their Use of IT
1%
6%
45%
38%
10%
Not at all close
Not that close
Moderately close
Very close
Exactly where
want to be
Degree to Which German
Businesses are “Where They Want
to Be” in Technology Utilization 1. IT security
2. Data storage/back-up
3. Network infrastructure
4. Updating aging computers/software
5. Disaster recovery/Business continuity
6. Mobility related initiatives
7. Automating business processes through
technology
8. Cloud computing
9. Data analytics/Big data/Business
intelligence
10. Web/Online presence/ e-commerce
Top Technology Priorities Over Next 12
Months for German Businesses
Base: 131 German business and IT executives
Source: CompTIA International Technology Adoption and Workforce Issues study
7. Half of German Businesses Have Adopted Cloud
Computing to Some Degree
22% 21%
39%
17%
25% 26%
31%
19%
Overall
Key Hurdles to Cloud Adoption
for German Businesses
Cloud Computing Adoption Stage
Full use
stage
Experi-
mentation
stage
Evalu-
ation
/Investiga
tion stage
Basic
aware-
ness
stage
50% Security or data loss concerns
25% Cloud services still unproven
23% Insufficient/unclear ROI
21% Challenges in developing staff expertise
20% Difficulty in integrating or migrating legacy
applications to the cloud
17% Unclear/costly government regulation/
compliance related to using the cloud
15% Slow/unreliable internet access
7% Lack of local cloud service providers
Base: 1,252 business and IT executives from Brazil, Canada, France,
Germany, India, Japan, Mexico, Middle East, Thailand and the UK
Source: CompTIA International Technology Adoption and Workforce Issues study
8. Cybersecurity Risks a Growing Concern
1%
2%
27%
44%
26%
0%
0%
31%
42%
27%
Decreasing
significantly
Decreasing
moderately
No change
Increasing
moderately
Increasing
significantly
Germany
Overall
Overall, 69% of German Businesses
Believe the Security Threat Level
has Increased during Past Two Years
• Growing criminalization and organization of
hackers motivated by financial gain
• Greater availability of easy-to-use hacking
tools, allowing more individuals to engage in
hacking
• Continued use of legacy operating systems, web
browsers
• Sophistication of security threats exceeding IT
staff's expertise to thwart them
• Rise of social networking
Top Factors Cited by German
Businesses for Increasing Security Risks
Base: 1,256 business and IT executives from Brazil, Canada, France,
Germany, India, Japan, Mexico, Middle East, Thailand and the UK
Source: CompTIA International Technology Adoption and Workforce Issues study
39%
9. Human Error Increasingly a Security Risk Factor
53%
47%
NET increase in human
error as a security risk
factor
NET no change or
decrease in human
error as a security
factor
Top Drivers of Human Error as an
Rising Security Risk Factor
Assessment of Human Error as
a Security Risk Factor
1 General negligence / carelessness towards
security
2 Increased use of social media by staff
3 Failure of end-users to follow security
procedures and policies
4 Lack of security expertise with
networks, servers and other infrastructure
5 Lack of security expertise with websites and
applications
6 Failure of staff to get up to speed with new
threats (e.g. mobility, social media, cloud, etc.)
7 Intentional disabling of security to allow for use
of a non-approved application, to download a
file, access a website, etc.
Base: 131 German business and IT executives
Source: CompTIA International Technology Adoption and Workforce Issues study
11. The Majority of German Businesses Intend to Keep the Status
Quo with Regard to Hiring IT Staff in 2013; More than a Third
Expect Challenges in Finding Qualified Staff
5%
56%
39%
4%
67%
29%
Decrease in IT staff No… Increase in IT staff
Overall
Germany
63%
37%
NET concerned*
about IT labor
quantity or quality
NET not that
concerned about
IT labor quantity
or quality
Concern Over Ability to Hire IT Staff2013 Hiring Intent for IT Staff
Base: 1,252 business and IT executives from Brazil, Canada, France,
Germany, India, Japan, Mexico, Middle East, Thailand and the UK
Source: CompTIA International Technology Adoption and Workforce Issues study
12. Many Businesses Seek Improvement
on the IT Skills Front
1%
8%
36%
41%
14%
Not at all close
Not that close
Moderately close
Very close
Exactly where
want to be
Assessment of how Close
German Businesses are to Where
They Want to be with the IT Skills
of Their IT Staff 31% Security / defending against
malware, hacking, etc.
29% Poor customer service/customer
engagement
28% Lower staff productivity
26% Ineffective innovation/new
product development
Top Negative Impacts of IT Skills Gaps
Base: 125 Thai business and IT executives
Source: CompTIA International Technology Adoption and Workforce Issues study
13. IT Skills Rating Among German Businesses
1. Teamwork
2. Motivation and initiative
3. Project management
4. Strong work ethic
5. Analytical skills
6. Flexibility and adaptability
7. Customer service
8. Flexibility and adaptability
9. Innovation / Creative problem solving
10. Verbal and written communication skills
Top Rated “Soft” IT Skills
1. Storage / data back-up
2. Networks / Infrastructure
3. Server / data center management
4. Database / Information management
5. Security / Cybersecurity
6. Printers, copiers, multifunction devices
7. Customer relationship management
8. Data analytics / Business intelligence
9. Help Desk / IT support
10. Telecommunications
Top Rated IT Skills in Terms of
the Importance of Maintaining a
High Skill Level Among IT staff
Keep in mind, many emerging technologies, such as cloud or mobility, are important to businesses, but it may not yet be the highest
priority to ensure a high level of IT staff expertise. As businesses move along the adoption curve and engage in more advanced uses of
cloud and mobility, staff expertise in those areas increases. Additionally, in some areas such as security, businesses may rely on outside
experts for guidance, so building internal skills could be a lower priority.
Base: 131 German business and IT executives
Source: CompTIA International Technology Adoption and Workforce Issues study
14. Types of Training/Education Utilized
by IT Staff in Past 12 Months
11%
8%
30%
24%
40%
23%
38%
45%
16%
3%
29%
27%
34%
27%
35%
40%
No training or education
Some other type of training
Webinars / Online presentation
from an instructor or expert
Reading industry news, technical journals, etc.
E-learning / Online self-directed training
Additional college coursework
Attending industry conferences, workshops, etc.
Training course with an instructor /
Classroom instruction
Germany
Overall
Base: 1,256 business and IT executives from Brazil, Canada, France,
Germany, India, Japan, Mexico, Middle East, Thailand and the UK
Source: CompTIA International Technology Adoption and Workforce Issues study
15. Policy Towards the Use of IT Certifications
21%
37%
34%
20%
29%
36%
No formal or informal position
towards the use of IT certifications
Informal – not required,
but valued and encouraged
Formal – IT certifications
required for certain IT staff
Germany
Overall
Base: 1,241 business and IT executives from Brazil, Canada, France,
Germany, India, Japan, Mexico, Middle East, Thailand and the UK
Source: CompTIA International Technology Adoption and Workforce Issues study
16. Majority of German Businesses Expect IT
Certifications to Increase in Importance
Significant
Increase in
Importance
Increase in
Importance
NET
Decrease
NET
Increase in
Importance
No
Change
85% “It’s important to test after training to
confirm knowledge gains”
73% “Staff with IT certifications have proven
expertise”
68% “Teams of staff with IT certifications
benefit from having a common
foundation of knowledge”
59% “Staff holding IT certifications are
more valuable to the organization”
47% “The organization is more secure from
malware/hackers due to staff with IT
certifications”
NET Agreement (agree +
strongly agree) to Statements
Expectations for Change in
Importance of IT Certifications
Over Next Two Years
Base: 131 German business and IT executives
Source: CompTIA International Technology Adoption and Workforce Issues study
39% 41%
18%
17. German Businesses are More Likely to Agree to
Statements About IT Certifications Than Disagree
21%
13%
10%
6%
4%
5%
2%
33%
41%
41%
31%
23%
21%
12%
41%
44%
47%
59%
68%
73%
85%
Retention is higher among staff with IT
certifications than non-certified staff
Staff with IT certifications perform at a
higher level than non-certified staff
The organization is more secure from malware
and hackers due to staff with IT certifications
Staff holding IT certifications are
more valuable to the organization
Teams of staff with IT certifications benefit from
having a common foundation of knowledge
Staff with IT certifications have proven expertise
It’s important to test after training
to confirm knowledge gains
NET Disagree Neutral NET Agree
Base: 131 German business and IT executives
Source: CompTIA International Technology Adoption and Workforce Issues study
19. Defining Core IT Occupations
• Computer Support Specialists
• Software Developers, Applications
• Computer Systems Analysts
• Software Developers, Systems Software
• Network and Computer Systems Administrators
• Computer Programmers
• Computer and Information Systems Managers
• Information Security Analysts, Web Dev., and Computer Network Architects
• Computer Occupations, All Other
• Database Administrators
• Computer Hardware Engineers
• Computer and Information Research Scientists
• Computer Support Specialists
For the purposes of this study, core IT occupations include positions related to the list below. In this study, certain
telecommunications occupations were excluded, such as positions responsible for installing or maintaining cellular
towers. Additionally, this study excludes ‘knowledge worker’ type positions, such as technical writer, graphic
designer or business analyst.
20. comptia.org
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