20 6-2013 - breinwave - nationale voorraaddag - de impact van cloud in de sup...Peter de Haas
This document discusses how cloud computing impacts supply chain management. It begins with an agenda and introduction to Peter de Haas and Abecon group. It then covers trends in industry and Gartner hype cycles. Microsoft cloud services and computing history are reviewed. The role of the CIO is evolving with business context, product leadership, customer intimacy, and operational excellence. Cloud improves supply chain management across areas like eInvoicing, eCommerce, integration, and infrastructure. Social, customer insight, and connecting business are key for Breinwave. Privacy and security are priorities in cloud services.
IBM is placing a strong emphasis on mobile technologies and applications. The document discusses IBM's MobileFirst initiative which provides tools to help organizations create more personalized, efficient and secure mobile interactions. It highlights growth in mobile transactions, devices, apps and users. IBM acquired 10 companies since 2006 and doubled its 2013 investment in mobile to strengthen its capabilities. The Worklight platform allows developing cross-platform hybrid and native mobile apps using a common codebase. It provides tools for testing, analytics, push notifications, and app distribution to enterprises.
The document discusses how mobility has become the new enterprise platform due to several factors:
1) Mobile devices have become the primary computing device for most individuals and enterprise workers, surpassing PCs in capabilities and personal attachment.
2) Trends like IT consumerization have raised user expectations for how they interact with technology, pushing for more intuitive mobile-first applications.
3) The mobile ecosystem provides a rich platform for personalization, capabilities like cameras, and a new model for app development compared to traditional enterprise software.
4) When combined with related trends in cloud, big data, and social technologies, mobility intensifies its transformational impact on enterprises and how they provision IT services.
Booz Allen is at the leading edge of cloud computing technology and its applications. From applications using a few minutes of computer time on a public cloud, to massive data warehousing and data-mining of highly sensitive data on a privately owned cloud, we can integrate cloud technology into your enterprise architecture for immediate impact.
This document discusses predictive analytics in telecommunications and describes Nokia's Network Data Intelligence (NDI) project. The presentation covers the requirements and use cases for predictive analytics in telecom, including predicting network outages, hardware failures, and service issues. It then describes the NDI architecture, which uses tools like Pandas, SciKit, and RapidMiner for data ingestion, aggregation, analytics and visualization. The presentation notes challenges like dealing with big data's high volume, velocity, variety and veracity and discusses NDI's real-time distributed processing approach.
Big data & advanced analytics in Telecom: A multi-billion-dollar revenue oppo...mustafa sarac
This document discusses how big data and advanced analytics can create new revenue opportunities for telecom companies. It notes that telecom providers collect vast amounts of subscriber data but often lack solutions to correlate and analyze this data in real-time. Investing in big data analytics could help telecoms improve business processes, gain insights from customer data, increase operational efficiency, and enhance the customer experience. The document examines various use cases and estimates the potential market size for big data solutions in the telecom industry.
Telcos are challenged in their business. Telephony becomes a commodity. How to leverage new business? Data use is key for the future business and analytics is the way to do it. This presentation shows a high-level picture on analytics.
20 6-2013 - breinwave - nationale voorraaddag - de impact van cloud in de sup...Peter de Haas
This document discusses how cloud computing impacts supply chain management. It begins with an agenda and introduction to Peter de Haas and Abecon group. It then covers trends in industry and Gartner hype cycles. Microsoft cloud services and computing history are reviewed. The role of the CIO is evolving with business context, product leadership, customer intimacy, and operational excellence. Cloud improves supply chain management across areas like eInvoicing, eCommerce, integration, and infrastructure. Social, customer insight, and connecting business are key for Breinwave. Privacy and security are priorities in cloud services.
IBM is placing a strong emphasis on mobile technologies and applications. The document discusses IBM's MobileFirst initiative which provides tools to help organizations create more personalized, efficient and secure mobile interactions. It highlights growth in mobile transactions, devices, apps and users. IBM acquired 10 companies since 2006 and doubled its 2013 investment in mobile to strengthen its capabilities. The Worklight platform allows developing cross-platform hybrid and native mobile apps using a common codebase. It provides tools for testing, analytics, push notifications, and app distribution to enterprises.
The document discusses how mobility has become the new enterprise platform due to several factors:
1) Mobile devices have become the primary computing device for most individuals and enterprise workers, surpassing PCs in capabilities and personal attachment.
2) Trends like IT consumerization have raised user expectations for how they interact with technology, pushing for more intuitive mobile-first applications.
3) The mobile ecosystem provides a rich platform for personalization, capabilities like cameras, and a new model for app development compared to traditional enterprise software.
4) When combined with related trends in cloud, big data, and social technologies, mobility intensifies its transformational impact on enterprises and how they provision IT services.
Booz Allen is at the leading edge of cloud computing technology and its applications. From applications using a few minutes of computer time on a public cloud, to massive data warehousing and data-mining of highly sensitive data on a privately owned cloud, we can integrate cloud technology into your enterprise architecture for immediate impact.
This document discusses predictive analytics in telecommunications and describes Nokia's Network Data Intelligence (NDI) project. The presentation covers the requirements and use cases for predictive analytics in telecom, including predicting network outages, hardware failures, and service issues. It then describes the NDI architecture, which uses tools like Pandas, SciKit, and RapidMiner for data ingestion, aggregation, analytics and visualization. The presentation notes challenges like dealing with big data's high volume, velocity, variety and veracity and discusses NDI's real-time distributed processing approach.
Big data & advanced analytics in Telecom: A multi-billion-dollar revenue oppo...mustafa sarac
This document discusses how big data and advanced analytics can create new revenue opportunities for telecom companies. It notes that telecom providers collect vast amounts of subscriber data but often lack solutions to correlate and analyze this data in real-time. Investing in big data analytics could help telecoms improve business processes, gain insights from customer data, increase operational efficiency, and enhance the customer experience. The document examines various use cases and estimates the potential market size for big data solutions in the telecom industry.
Telcos are challenged in their business. Telephony becomes a commodity. How to leverage new business? Data use is key for the future business and analytics is the way to do it. This presentation shows a high-level picture on analytics.
This document discusses a new approach to business intelligence called "rapid-fire BI" that aims to provide faster and more self-service analytics capabilities. The key attributes of rapid-fire BI outlined in the document are:
1) Speed - It allows users to access, analyze, publish, and share data and insights 10 to 100 times faster than traditional BI solutions.
2) Self-reliance - It enables business users rather than IT to independently access data, build reports and dashboards, and answer their own questions without waiting for developer support.
3) Visual discovery - It uses intuitive visual interfaces rather than complex queries, allowing users to easily explore data visually and gain insights through interaction with various chart types
This document discusses how crowdsourcing technology and persona-based approaches can help create a happier and more productive digital workplace. It argues that traditional IT approaches focus too much on process efficiency rather than empowering workers. The key is putting people before process. Crowdsourcing leverages social platforms to shift provisioning and support to users. Persona-based approaches tailor the user experience based on individual roles to maximize engagement and productivity. The combination of these approaches helps align changing business needs in the new digital environment.
GigaOM Putting Big Data to Work by Brett SheppardBrett Sheppard
This document discusses opportunities for enterprises using big data across multiple industries. It defines big data as having large volumes, complexity, and requiring speed. Big data can help businesses improve operational efficiency, grow revenues, and create new business models. The document examines big data uses in industries like financial services, healthcare, sports, travel and media. It also discusses technologies for big data like Hadoop and visualization tools.
ISC2 Privacy-Preserving Analytics and Secure Multiparty ComputationUlfMattsson7
Use Cases in Machine learning (ML)
Secure Multi-Party Computation (SMPC)
Homomorphic encryption (HE)
Differential Privacy (DP) and K-Anonymity
Pseudonymization and Anonymization
Synthetic Data
Zero trust architecture (ZTA)
Zero-knowledge proofs (ZKP)
Private Set Intersection (PSI)
Trusted execution environments (TEE)
Post-Quantum Cryptography
Regulations and Standards in Data Privacy
Big Data Startups - Top Visualization and Data Analytics Startupswallesplace
1010Data provides a cloud-based big data analytics platform that allows customers to analyze large datasets using simple interfaces. Their platform offers fast data processing, scalability, and tools for data integration, visualization, and sharing insights. Major customers include companies in financial services, retail, consumer packaged goods, telecom, and healthcare that use 1010Data to gain insights from large customer and transactional datasets.
Atos Consulting World Class IT Perspectives Technology Trendsguesta9bf56
The document discusses technology trends and provides a suggested approach for trend watching. It outlines an ICT scan method involving analyzing organizational impacts of trends, identifying opportunities, and developing a portfolio to guide technology investments. Examples of trends include open source software, wireless networks, enterprise applications, and technologies enabling mobility, cost cuts and new business opportunities. The approach helps organizations identify relevant trends and develop a structured innovation process.
Customer Centric Innovation in a World of Shiny Objects-DallasJoAnna Cheshire
The document discusses improving customer experience through innovation in information technology. It notes that while innovation is important to growth strategies, most companies are unsatisfied with their innovation performance. It emphasizes focusing on customer experience by embracing systems of insight using technologies like machine learning, and continuously improving the user experience through approaches like experience engineering. The key is for IT to connect with the business by understanding customer needs and driving new sources of value and revenue.
25 6-2013 - abecon inspiratiedag - breinwave bi solutionsPeter de Haas
Breinwave heeft op de Abecon Inspiratiedag van 25 juni 2013 de workshop Business Inteligence verzorgd. Bijgaande presentatie vormde de basis voor de workshop / discussie
The Institution's Innovation Council (Ministry of HRD initiative) and the Institution of Electronics and Telecommunication Engineers (IETE) invited me to grace "World Telecommunication & Information Society Day" on 18 May 2020.
Enabling Hybrid Cloud Today With Microsoft-technologies-v1-0David J Rosenthal
The document provides an overview of hybrid cloud and how organizations can implement a successful hybrid cloud strategy using Microsoft technologies. It defines key cloud concepts like public cloud, private cloud, and hybrid cloud. It discusses how hybrid cloud can help organizations improve management of on-premises systems through private cloud while also utilizing lower-cost public cloud services. The document outlines Microsoft's approach to hybrid cloud, highlighting common technologies that span private and public clouds and enable common hybrid experiences.
Big data is an opportunity for communications service providers (CSPs) to create the intelligence for operating their infrastructures more efficiently, to analyze the success of their services, and to create a better personal experience for their customers.
CSP Top executives, Network and IT managers and Marketing, are eager to exploit the large amount of information to achieve better business decisions. They expect their Chief Technical Officer to provide end-to-end analytic solutions based on the data available in their IT and network infrastructure.
This presentation analyzes the complete value chain that can transform CSPs’ data to knowledge. It covers the sources of information, the data collection tools, the analytic platforms providing quick data access, and finally the business intelligence use cases with the presentation and visualization of the results and predictions.
The New Convergence of Data; The Next Strategic Business AdvantageJoAnna Cheshire
The document discusses how data has become a critical business asset and strategic advantage. It notes that data generation has accelerated dramatically due to trends like big data, data science, cloud computing, AI, mobility, and the internet of things. Variety, not just volume or velocity, will drive new investments. The amount of data generated is growing exponentially and will continue to do so. By 2020 it is estimated there will be over 40 zettabytes of data, doubling every two years. This massive increase in data is creating both opportunities and challenges for organizations to effectively analyze and leverage data.
The document discusses IBM's Big Data and analytics solutions, including Watson Explorer which provides a single interface to access both structured and unstructured data. It also outlines several common use cases for big data such as customer analytics, security intelligence, and operations analysis. The final section provides contact information for an IBM sales manager to discuss these big data solutions.
Although cloud is widely recognized as a technology
game changer, its potential for driving business innovation remains virtually untapped.
Indeed, cloud has the power to fundamentally shift competitive landscapes by providing a
new platform for creating and delivering business value. To take advantage of cloud’s
potential to transform internal operations, customer relationships and industry value
chains, organizations need to determine how best to employ cloud-enabled business
models that promote sustainable competitive advantage.
Beyond Headsets: The Rise of Augmented Business Reality JoAnna Cheshire
The document discusses the rise of Augmented Business Reality (ABR) and 2THEDGE's work in this area. It provides examples of how ABR can be used to improve product development, retail customer experiences, and healthcare procedures. It also outlines 2THEDGE's technology readiness levels for different ABR solutions and lessons learned. Finally, it discusses how organizations can accelerate cultural transformation to establish sustained competitive advantages through digital transformation.
This document discusses enabling analytics as a service (AaaS) on IBM SoftLayer Cloud. It describes how various analytical platforms and workloads have been modernized, migrated, and deployed on the SoftLayer Cloud to provide analytics capabilities as a service. Specifically, it outlines big data analytics platforms like Cloudera, Hortonworks, MapR, and IBM BigInsights that have been implemented on the cloud. It also discusses real-time analytics platforms like VoltDB and Apache Storm that have been deployed on SoftLayer Cloud to enable real-time analytics and processing of fast data streams.
This document discusses big data and analytics. It notes that digital data is growing exponentially and will reach 35 zettabytes by 2020, with 80% coming from enterprise systems. Big data is being driven by increased transaction data, interaction data from mobile and social media, and improved processing capabilities. Major players in big data include Google, Amazon, IBM and Microsoft. Traditional analytics struggle due to batch processing and lack of business context. The document introduces OpTier's approach of capturing real-time business context across interactions to enable insights with low costs and flexibility. Potential use cases for financial services are discussed.
The Big Five IT Mega Trends - talk @ Filene Research Institute at Kansas City for executives and technology leaders of US and CA Federal Credit Unions and keynote @MEDES
1) Mobile
2) Big data - data doubles every 18 month - the information age economy will create value by sense making form data
3) Social Media
4) Cloud
5) Consumerization
The document discusses the steps businesses can take to successfully leverage the Internet of Things (IoT). It explains that the IoT allows physical objects to be connected to the internet and controlled remotely using sensors and data. The document outlines a process for businesses to 1) explore and define a transformative IoT-enabled business case by investigating opportunities in products/services or internal operations optimization, 2) create a connected physical object, and 3) build the necessary infrastructure including applications, sensors, networking, analytics/automation, and integrating with business systems. This allows businesses to gain insights from connected devices and automate processes to transform operations and customer experiences.
Social Media, Cloud Computing and architectureRick Mans
Slides for a guest lecture on the impact of social media and cloud computing on system architecture. Key is the crown model which enables you to personalize your offerings while still using the 'comply' layer with enterprise applications.
The document discusses personal leadership and how leading oneself is the starting point for leading others. It advocates that if everyone were to develop themselves as leaders by engaging with and helping others, solving problems rather than creating them, the world would improve daily. True leadership requires regularly evaluating oneself, being worthy of followers' trust, demonstrating genuine care for others' success, and acting with strong values, ethics, courage and resilience. Leaders should also prioritize relationships and enjoy spending time with their people. Developing strong personal leadership in this manner can inspire deep commitment from followers.
This document discusses a new approach to business intelligence called "rapid-fire BI" that aims to provide faster and more self-service analytics capabilities. The key attributes of rapid-fire BI outlined in the document are:
1) Speed - It allows users to access, analyze, publish, and share data and insights 10 to 100 times faster than traditional BI solutions.
2) Self-reliance - It enables business users rather than IT to independently access data, build reports and dashboards, and answer their own questions without waiting for developer support.
3) Visual discovery - It uses intuitive visual interfaces rather than complex queries, allowing users to easily explore data visually and gain insights through interaction with various chart types
This document discusses how crowdsourcing technology and persona-based approaches can help create a happier and more productive digital workplace. It argues that traditional IT approaches focus too much on process efficiency rather than empowering workers. The key is putting people before process. Crowdsourcing leverages social platforms to shift provisioning and support to users. Persona-based approaches tailor the user experience based on individual roles to maximize engagement and productivity. The combination of these approaches helps align changing business needs in the new digital environment.
GigaOM Putting Big Data to Work by Brett SheppardBrett Sheppard
This document discusses opportunities for enterprises using big data across multiple industries. It defines big data as having large volumes, complexity, and requiring speed. Big data can help businesses improve operational efficiency, grow revenues, and create new business models. The document examines big data uses in industries like financial services, healthcare, sports, travel and media. It also discusses technologies for big data like Hadoop and visualization tools.
ISC2 Privacy-Preserving Analytics and Secure Multiparty ComputationUlfMattsson7
Use Cases in Machine learning (ML)
Secure Multi-Party Computation (SMPC)
Homomorphic encryption (HE)
Differential Privacy (DP) and K-Anonymity
Pseudonymization and Anonymization
Synthetic Data
Zero trust architecture (ZTA)
Zero-knowledge proofs (ZKP)
Private Set Intersection (PSI)
Trusted execution environments (TEE)
Post-Quantum Cryptography
Regulations and Standards in Data Privacy
Big Data Startups - Top Visualization and Data Analytics Startupswallesplace
1010Data provides a cloud-based big data analytics platform that allows customers to analyze large datasets using simple interfaces. Their platform offers fast data processing, scalability, and tools for data integration, visualization, and sharing insights. Major customers include companies in financial services, retail, consumer packaged goods, telecom, and healthcare that use 1010Data to gain insights from large customer and transactional datasets.
Atos Consulting World Class IT Perspectives Technology Trendsguesta9bf56
The document discusses technology trends and provides a suggested approach for trend watching. It outlines an ICT scan method involving analyzing organizational impacts of trends, identifying opportunities, and developing a portfolio to guide technology investments. Examples of trends include open source software, wireless networks, enterprise applications, and technologies enabling mobility, cost cuts and new business opportunities. The approach helps organizations identify relevant trends and develop a structured innovation process.
Customer Centric Innovation in a World of Shiny Objects-DallasJoAnna Cheshire
The document discusses improving customer experience through innovation in information technology. It notes that while innovation is important to growth strategies, most companies are unsatisfied with their innovation performance. It emphasizes focusing on customer experience by embracing systems of insight using technologies like machine learning, and continuously improving the user experience through approaches like experience engineering. The key is for IT to connect with the business by understanding customer needs and driving new sources of value and revenue.
25 6-2013 - abecon inspiratiedag - breinwave bi solutionsPeter de Haas
Breinwave heeft op de Abecon Inspiratiedag van 25 juni 2013 de workshop Business Inteligence verzorgd. Bijgaande presentatie vormde de basis voor de workshop / discussie
The Institution's Innovation Council (Ministry of HRD initiative) and the Institution of Electronics and Telecommunication Engineers (IETE) invited me to grace "World Telecommunication & Information Society Day" on 18 May 2020.
Enabling Hybrid Cloud Today With Microsoft-technologies-v1-0David J Rosenthal
The document provides an overview of hybrid cloud and how organizations can implement a successful hybrid cloud strategy using Microsoft technologies. It defines key cloud concepts like public cloud, private cloud, and hybrid cloud. It discusses how hybrid cloud can help organizations improve management of on-premises systems through private cloud while also utilizing lower-cost public cloud services. The document outlines Microsoft's approach to hybrid cloud, highlighting common technologies that span private and public clouds and enable common hybrid experiences.
Big data is an opportunity for communications service providers (CSPs) to create the intelligence for operating their infrastructures more efficiently, to analyze the success of their services, and to create a better personal experience for their customers.
CSP Top executives, Network and IT managers and Marketing, are eager to exploit the large amount of information to achieve better business decisions. They expect their Chief Technical Officer to provide end-to-end analytic solutions based on the data available in their IT and network infrastructure.
This presentation analyzes the complete value chain that can transform CSPs’ data to knowledge. It covers the sources of information, the data collection tools, the analytic platforms providing quick data access, and finally the business intelligence use cases with the presentation and visualization of the results and predictions.
The New Convergence of Data; The Next Strategic Business AdvantageJoAnna Cheshire
The document discusses how data has become a critical business asset and strategic advantage. It notes that data generation has accelerated dramatically due to trends like big data, data science, cloud computing, AI, mobility, and the internet of things. Variety, not just volume or velocity, will drive new investments. The amount of data generated is growing exponentially and will continue to do so. By 2020 it is estimated there will be over 40 zettabytes of data, doubling every two years. This massive increase in data is creating both opportunities and challenges for organizations to effectively analyze and leverage data.
The document discusses IBM's Big Data and analytics solutions, including Watson Explorer which provides a single interface to access both structured and unstructured data. It also outlines several common use cases for big data such as customer analytics, security intelligence, and operations analysis. The final section provides contact information for an IBM sales manager to discuss these big data solutions.
Although cloud is widely recognized as a technology
game changer, its potential for driving business innovation remains virtually untapped.
Indeed, cloud has the power to fundamentally shift competitive landscapes by providing a
new platform for creating and delivering business value. To take advantage of cloud’s
potential to transform internal operations, customer relationships and industry value
chains, organizations need to determine how best to employ cloud-enabled business
models that promote sustainable competitive advantage.
Beyond Headsets: The Rise of Augmented Business Reality JoAnna Cheshire
The document discusses the rise of Augmented Business Reality (ABR) and 2THEDGE's work in this area. It provides examples of how ABR can be used to improve product development, retail customer experiences, and healthcare procedures. It also outlines 2THEDGE's technology readiness levels for different ABR solutions and lessons learned. Finally, it discusses how organizations can accelerate cultural transformation to establish sustained competitive advantages through digital transformation.
This document discusses enabling analytics as a service (AaaS) on IBM SoftLayer Cloud. It describes how various analytical platforms and workloads have been modernized, migrated, and deployed on the SoftLayer Cloud to provide analytics capabilities as a service. Specifically, it outlines big data analytics platforms like Cloudera, Hortonworks, MapR, and IBM BigInsights that have been implemented on the cloud. It also discusses real-time analytics platforms like VoltDB and Apache Storm that have been deployed on SoftLayer Cloud to enable real-time analytics and processing of fast data streams.
This document discusses big data and analytics. It notes that digital data is growing exponentially and will reach 35 zettabytes by 2020, with 80% coming from enterprise systems. Big data is being driven by increased transaction data, interaction data from mobile and social media, and improved processing capabilities. Major players in big data include Google, Amazon, IBM and Microsoft. Traditional analytics struggle due to batch processing and lack of business context. The document introduces OpTier's approach of capturing real-time business context across interactions to enable insights with low costs and flexibility. Potential use cases for financial services are discussed.
The Big Five IT Mega Trends - talk @ Filene Research Institute at Kansas City for executives and technology leaders of US and CA Federal Credit Unions and keynote @MEDES
1) Mobile
2) Big data - data doubles every 18 month - the information age economy will create value by sense making form data
3) Social Media
4) Cloud
5) Consumerization
The document discusses the steps businesses can take to successfully leverage the Internet of Things (IoT). It explains that the IoT allows physical objects to be connected to the internet and controlled remotely using sensors and data. The document outlines a process for businesses to 1) explore and define a transformative IoT-enabled business case by investigating opportunities in products/services or internal operations optimization, 2) create a connected physical object, and 3) build the necessary infrastructure including applications, sensors, networking, analytics/automation, and integrating with business systems. This allows businesses to gain insights from connected devices and automate processes to transform operations and customer experiences.
Social Media, Cloud Computing and architectureRick Mans
Slides for a guest lecture on the impact of social media and cloud computing on system architecture. Key is the crown model which enables you to personalize your offerings while still using the 'comply' layer with enterprise applications.
The document discusses personal leadership and how leading oneself is the starting point for leading others. It advocates that if everyone were to develop themselves as leaders by engaging with and helping others, solving problems rather than creating them, the world would improve daily. True leadership requires regularly evaluating oneself, being worthy of followers' trust, demonstrating genuine care for others' success, and acting with strong values, ethics, courage and resilience. Leaders should also prioritize relationships and enjoy spending time with their people. Developing strong personal leadership in this manner can inspire deep commitment from followers.
Building the business case for deploying Cloud Computing. Cloud Services allow your IT Department to focus on managing information rather than managing technology.
The document discusses why people should be led by the speaker. It suggests that people will follow a leader who is passionate about their purpose and values, and genuinely cares about helping others achieve their goals. A good leader leads by example through their actions, ethics and resilience. They are worth following because they are committed to personal growth, bring out the best in others, and make decisions with courage.
Leaders need certain key qualities to be effective, including showing their human side through revealing weaknesses, relying on intuition, managing employees with both care and toughness, and daring to be different. These qualities allow leaders to inspire followers and capture their hearts, minds and souls. While many books on leadership are published each year focusing on different theories, the authors of this document gained their insights from their academic and consulting careers as well as experience as business executives. An effective personal leadership style incorporates these qualities in a genuine, individualized way.
Social computing has the potential to be much more than just web 2.0 for business. It shifts value from ownership and institutions to experience and communities. Social computing empowers individuals through one-to-many and many-to-many connections. When adopted, it can increase productivity, engagement, collaboration and knowledge sharing among employees. Companies should embrace social computing by understanding individuals' needs, nurturing enthusiasts, and allowing participation to drive critical mass in communities.
Social Cloud: Cloud Computing in Social NetworksSimon Caton
With the increasingly ubiquitous nature of Social networks and Cloud computing, users are starting to explore new ways to interact with, and exploit these developing paradigms. Social networks are used to reflect real world relationships that allow users to share information and form connections between one another, essentially creating dynamic Virtual Organizations. We propose leveraging the pre-established trust formed through friend relationships within a Social network to form a dynamic “Social Cloud”, enabling friends to share resources within the context of a Social network. We believe that combining trust relationships with suitable incentive mechanisms (through financial payments or bartering) could provide much more sustainable resource sharing mechanisms. This paper outlines our vision of, and experiences with, creating a Social Storage Cloud, looking specifically at possible market mechanisms that could be used to create a dynamic Cloud infrastructure in a Social network environment.
This document presents an introduction to cloud computing. It defines cloud computing as using remote servers and the internet to maintain data and applications. It describes the characteristics of cloud computing including APIs, virtualization, reliability, and security. It discusses the different types of cloud including public, private, community, and hybrid cloud. It also defines the three main cloud stacks: Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). The benefits of cloud computing are reduced costs, improved accessibility and flexibility. Cloud security and uses of cloud computing are also briefly discussed.
It strategy for life sciences david royleDavid Royle
An Information Technology strategy for contract research organisations in Life Sciences. A layered approach to building an Information Technology platform.
IT operations, as well as IT in general, are often fragmented in the face of cloud, agile, and mobile, along with other pressures to adapt and perform as a true business. As a result, in most organizations, digital transformation remains more of a promise than a reality. Fortunately, there are signs of progress.
These slides--based on the webinar hosted by leading IT analyst firm Enterprise Management Associates (EMA) and StreamWeaver --provide insights on:
- Why digital transformation depends on IT transformation
- The growth of advanced IT analytics
- The need for well-integrated data from across a wide variety of sources
- The benefits when data and analytics do come together
- Real-world examples taken from EMA research and StreamWeaver customers
Observability is the most important capability needed to manage the development, deployment, and operation of modern systems.
These slides—based on the webinar with EMA Research and LightStep--explore the importance of observability and how to address this capability for complex systems.
Public Power Forward: IT's Role in the Changing Electric UtilityKent Landrum
How IT leaders in public utilities can prepare for an uncertain future. Provides a 5-step process to achieve business and IT alignment: (1) vignette-based strategy, (2) capability modeling, (3) program and project governance, (4) solution portfolio management, and (5) delivery framework. Authored by Kent Landrum.
Data-Driven is Passé: Transform Into An Insights-Driven EnterpriseDenodo
This document summarizes a presentation on transforming companies into insights-driven enterprises. It discusses how most companies are currently data-driven but struggle to consistently turn data into effective actions. An insights-driven approach involves building multidisciplinary insights teams, establishing good data governance foundations, and combining the right tools and processes into systems of insight. Data virtualization is highlighted as a key technology enabler for systems of insight by providing agile data access and logical abstraction across structured and unstructured data sources. Examples are provided of how data virtualization has helped customers achieve single customer views and build logical data warehouses.
A revolution is under way where businesses and their systems are connecting to digital communities of existing and potential partners. In this world:• Sellers quickly find new business opportunities with a network of purchase-ready prospects
• Buyers efficiently discover new sources of supply and coordinate orders across their supply chains — all in real-time
• Companies can have transparency into payables and receivables to make better working capital decisions
In this session we will investigate the key elements that allow the emerging leaders to embrace the new world of Networked Business, and what steps you must take to continue to flourish.
TCI 2016 Taking Advantage of the Internet of ThingsTCI Network
This document summarizes a presentation on taking advantage of the Internet of Things. It discusses how smart, connected products are transforming industries by integrating physical products, digital capabilities, and connectivity. This allows products to be monitored, controlled, optimized and automated. It also presents examples of smart farming systems and discusses how connectivity changes competition in industries and forces companies to rethink their business models, value chains, and organization.
The document discusses how digital technologies are transforming core company operations across four key areas: manufacturing, capital asset management, supply chains, and product development. It outlines an evolving ecosystem of digital solutions emerging in these areas, with over 40 use cases identified in manufacturing alone. Companies must understand where value lies for their specific needs to develop a roadmap for digital operations that maximizes business benefits.
Anil Kaul, CEO and Co-Founder, AbsolutData delivered a session on institutionalizing Big Data analytics for organizations, at the Big Data Innovation Summit, London on 1st May, 2013.
AbsolutData is a global leader in applying analytics to drive sales and increase profits for its customers. AbsolutData has built strong expertise and traction with Fortune 1000 companies across 40 countries. We specialize in big data, high end business analytics, predictive modeling, research, reporting, social media analytics and data management services. AbsolutData delivers world class analytics solutions by combining their expertise in industry domains, analytical techniques and sophisticated tools.
Visit us here : www.absolutdata.com
Building a Business Case for Innovation: Project Considerations for Cloud, Mo...Fred Isbell
Breakout Session from the 2015 TSIA Technology Service World event in Las Vegas attended by 1,500+ service & support professionals. Provided insight into:
1.) The next wave of innovative technology and business solutions
2.) Key insights from industry influencers and experts to assist in building a business case
3.) Case studies from SAP projects & customers showcasing the results, business impact, and best practices to managing next-generation projects and solutions
Key Technology Trends for Big Data in EuropeEdward Curry
In this presentation we will discuss some of the results of the BIG project including analysis of foundational Big Data research technologies, technology and strategy roadmaps to enable business to understand the potential of Big Data technologies across different sectors, and the necessary collaboration and dissemination infrastructure to link technology suppliers, integrators and leading user organizations.
Edward Curry is leading the Technical Working Group of the BIG Project with over 30 committed experts along the big data value chain (Acquisition, Analysis, Curation, Storage, Usage). With the help of the other technical leads, he will elaborate on the key technology trends identified in the BIG Project and how they bring data-driven value to industrial sectors.
The Four Essential Pillars of Digital TransformationIan Thomas
Based on years of practical experience this whitepaper distils four key pillars we have observed time and again in successful digital initiatives, providing a structured foundation for an orderly, end-to-end digital transformation of the enterprise.
In this report, we have a clear objective of planning and designing the IT structure and its implementation in the firm.
The objectives are as follows:
• Analyse the IT sector scenario and the company structure and working
• Risk assessment of the business environment
• Process, Application and Technology Integration
• Define a cloud strategy for Mindfire Solutions
• Devise the Technology Scorecard for the departments
• Suggest Change Management in regards to cloud implementation
• Prepare an action plan for each stakeholder
• State the benefits of the IT implementation
These slides—based on the webinar from EMA Research and Equalum—provide practical insights into six foundational principles of streaming change data capture that guide your modernization journey.
Presented to an internal audience on 4.14.17 regarding the implementation pros and cons of the Two Speed IT management approach and some modifications for it's successful implementation.
This document provides an analysis of AT&T's strategy. It includes an overview of the company, analysis of AT&T's external environment using PESTEL and Porter's Five Forces models, and an internal analysis using Porter's Value Chain, McKinsey's 7S framework, and the BCG matrix. The document also discusses AT&T's history, vision, services, market share, financial reports, partnerships and acquisitions. It analyzes political, economic, social, technological, environmental and legal factors affecting AT&T externally and examines the company's structure, style, and staff internally. The document appears to be analyzing AT&T's strategy to identify strengths, weaknesses, opportunities and threats.
This document provides an overview of a webinar on stress testing for the digital economy presented by Julie Craig of Enterprise Management Associates and Sven Hammar of Apica. The webinar discusses how new technologies and use cases like mobile applications, APIs, and streaming are challenging organizations to deliver high performance. Continuous delivery practices are supporting digital transformation but also increasing pressure on IT. Automating testing and monitoring across the software development lifecycle is key to addressing this. The webinar then highlights Apica's load testing solutions and how they help customers test applications, APIs, and infrastructure for capacity and stability under high load scenarios.
ETDP 2015 D1 SMAC & the Journey from Automation to Digital Factory - Snjeev K...Comit Projects Ltd
COMIT/Fiatech Conference 2015, Hallam, London
Sanjeev Kapoor, Senior Project Manager, Emerging Technologies, Ford Motor Company
Note: This presentation is an amalgam of the two presentations in the agenda.
• Introduction to Manufacturing Automation, Digital Factory and Industry
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• The Digital Factory Lifecycle and Case Studies
• How Digital Factory has positively impacted manufacturers enabling them to produce
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What is SMAC (Social, Mobile, Analytics and Cloud)?
• Key Trends in Social, Mobile, Analytics and Cloud Technologies
• How SMAC Technologies collectively can digitally transform your organization?
• Case Studies – How organizations across industries are leveraging SMAC Technologies for innovation and business growth?
• Future of SMAC Technologies
Similar to Today's social media and cloud computing in business environment (20)
The document discusses an information security management course conducted by the Department of Information Management and Logistics at Tampere University of Technology (TUT). It provides details about the course content, which involves identifying information security risks in companies and how to address them. As part of the course, student groups interview case companies to analyze their key information assets, vulnerabilities, risks, and make recommendations. Examples of risk analyses from three student groups are also presented, showing the identification and prioritization of risks in different risk areas. Companies interested in participating in interviews are instructed to contact the listed course personnel.
This document summarizes the results of a quantitative study on knowledge management practices in large Finnish companies carried out in 2014. It finds that strategy-based knowledge and competence development to reach targets was the most important function of knowledge management. While knowledge management systems have stabilized in some functions, internal knowledge utilization remains inefficient. The document also compares the results to a similar 2002 survey, noting both improvements like increased productivity, as well as ongoing challenges like underutilization of technology and knowledge loss when employees leave.
Tietojohtamisen perusteet kalvosarjan 3. osa: Tiedon tasot ja lajit. Tässä kalvossa käydään läpi tiedon eri tasoja ja lajeja, sekä niiden vaikutusta tiedon käsittelyyn ja tulkintaan.
Tietämyksenhallinta osana organisaation toimintaa - hallintaa vai hämmennystäNovi Research Center
Tutkimusryhmä käsitteli tiedon ja osaamisen hallintaa Suomen 50 suurimman yrityksen organisaatiossa. Kiinnostuksen kohteena oli, miten teorian ja käytännön tietämyksenhallinnan käsitteet kohtaavat? Miten systemaattista tietämyksenhallinta on organisaatioiden strategiassa ja toteutuksessa? Millaisia ovat organisaation tiedon- ja osaamisenhallinnan prosessit, ja kuinka teknologiaa hyödynnetään? Mitä haasteita tiedonhallinnassa kohdataan, ja miten tietämyksenhallinta on muuttunut suomalaisissa eri toimialojen suuryrityksissä 10 vuoden aikana?
Lisätiedot: Hannele Väyrynen, NOVI tutkimuskeskus
Tietojohtamisen perusteet: Tietojohtamisen konteksti ja tietoperustainen arvo...Novi Research Center
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Tutkimusryhmä käsitteli tiedon ja osaamisen hallintaa Suomen 50 suurimman yrityksen organisaatiossa. Kiinnostuksen kohteena oli, miten teorian ja käytännön tietämyksenhallinnan käsitteet kohtaavat? Miten systemaattista tietämyksenhallinta on organisaatioiden strategiassa ja toteutuksessa? Millaisia ovat organisaation tiedon- ja osaamisenhallinnan prosessit, ja kuinka teknologiaa hyödynnetään? Mitä haasteita tiedonhallinnassa kohdataan, ja miten tietämyksenhallinta on muuttunut suomalaisissa eri toimialojen suuryrityksissä 10 vuoden aikana?
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Value creation and evolution of a value network a longitudinal case study on a platform as-a-service provider presented by Arto Ojala & Nina Helander at HICSS-47 conference.
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Today's social media and cloud computing in business environment
1. MANAGEMENT INFORMATION SYSTEMS 2014 – JARI JUSSILA @JJUSSILA
TODAY’S SOCIAL MEDIA AND CLOUD
COMPUTING IN BUSINESS
ENVIRONMENT
2.
3. OUTLINE
• Personal experience on information systems
• Theory and models on how to develop and acquire social media and
cloud computing applications from systems perspective
• How social media and cloud computing applications are changing
management information systems in today’s business environment
NOVI RESEARCH CENTER
TUT.FI/NOVI
TWITTER: @NOVIRESEARCH
3
4. INFORMATION SYSTEMS BACKGROUND
• 1996 Technical documentation specialist, Healy Chemicals Ltd. (UK)
• 1997 Data base programmer and administrator, Healy Chemicals Ltd. (UK)
• 1998 Computer sales and support, Puhetta Ltd.
• 1998 System administrator, Kuljetusliike K. Vierikko Ltd. & Kuljetus Veli Nikkilä Ltd.
• 2001 Trainee / technical documentation, Säteri Ltd.
• 2003- Entrepreneur / IS consultant, Ins. tst. Jari Jussila
• 2002- Project engineer, HAMK University of Applied Sciences,
2004 e.g. PLC, SCADA, MMS, ERP, BI
• 2007- Researcher, Tampere University of Technology
2009 e.g. Web 2.0, Scrum, Agile and Lean software development
• 2009 CEO / IS & KM & M consultant, Yoso Services Ltd.
2011 e.g. Cloud computing (SaaS and IaaS)
• 2009 Project planner, Technology Centre Innopark
e.g. Social media
• 2010- Project manager, Tampere University of Technology
NOVI RESEARCH CENTER
TUT.FI/NOVI
TWITTER: @NOVIRESEARCH
4
5. WHAT IS A MANAGEMENT INFORMATION
SYSTEM?
Goal: to inspire double loop learning
NOVI RESEARCH CENTER
TUT.FI/NOVI
TWITTER: @NOVIRESEARCH
5
6. SINGLE-LOOP AND DOUBLE-LOOP
LEARNING
Governing
variables
Action strategies
Results /
consequences
SINGLE-LOOP LEARNING
DOUBLE-LOOP LEARNING
Assumptions / beliefs
Ref. Argyris & Schön 1978; Argyris 1990
NOVI RESEARCH CENTER
TUT.FI/NOVI
TWITTER: @NOVIRESEARCH
6
7. HOW TO DEVELOP OR ACQUIRE (I.E. MAKE OR BUY)
INFORMATION SYSTEMS IN TODAY’S BUSINESS ENVIRONMENT
Ref. Lyytinen 1987
e.g. Waterfall e.g. Agile
e.g. Lean Startup
e.g. Vanguard
NOVI RESEARCH CENTER
TUT.FI/NOVI
TWITTER: @NOVIRESEARCH
7
8. WORK SYSTEM THEORY AND WORK
SYSTEM METHOD
Ref. Alter 2013
NOVI RESEARCH CENTER
TUT.FI/NOVI
TWITTER: @NOVIRESEARCH
8
9. ACTIVITY THEORY, ACTIVITY SYSTEMS
AND EXPANSIVE LEARNING
Ref. Engeström 2001; Engeström 1987
NOVI RESEARCH CENTER
TUT.FI/NOVI
TWITTER: @NOVIRESEARCH
9
10. INTERACTING ACTIVITY SYSTEMS – EXPANSIVE
LEARNING IN INTERACTING ACTIVITY SYSTEMS
Instruments
Rules
Division of
labour
Subject
Community
Transformation
Object ->
Outcome
Motivation
Division of
labour
Subject
Instruments
Community Rules
e.g. IaaS provider e.g. customer
Ref. Vartiainen, Aramo-Immonen, Jussila et al. 2011
NOVI RESEARCH CENTER
TUT.FI/NOVI
TWITTER: @NOVIRESEARCH
10
11. ACTIVITY SYSTEM –CYCLE OF
EXPANSIVE LEARNING
1. Questioning
2. Historical analysis & actual-empirical
analysis
3. Modeling the new solution
4. New model
5. Implementing the new model
6. Reflecting on the process
7. Consolidating the new practice
WORK SYSTEM LIFE CYCLE
1. Initiation
2. Development
3. Implementation
4. Operation and maintenance
Ref. Vartiainen, Aramo-Immonen, Jussila et al. 2011
NOVI RESEARCH CENTER
TUT.FI/NOVI
TWITTER: @NOVIRESEARCH
11
12. COMMAND & CONTROL VS SYSTEMS THINKING VIEW
Command and Control Thinking Systems Thinking
Top-down, hierarchy Perspective Outside-in, system
Functional Design Demand, value and flow
Separated from work Decision-making Integrated with work
Output, targets, standards: related to
budget
Measurement
Capability, variation: related to
purpose
Contractual Attitude to customers What matters?
Contractual Attitude to suppliers Cooperative
Manage people and budgets Role of management Act on the system
Control Ethos Learning
Reactive, projects Change Adaptive, integral
Extrinsic Motivation Intrinsic
Ref. Seddon 2011
NOVI RESEARCH CENTER
TUT.FI/NOVI
TWITTER: @NOVIRESEARCH
12
14. LITERATURE ON HOW TO CHANGE MANAGEMENT THINKING IN
TODAY’S BUSINESS ENVIRONMENT
NOVI RESEARCH CENTER
TUT.FI/NOVI
TWITTER: @NOVIRESEARCH
14
15. EXAMPLES OF SOCIAL MEDIA AND
CLOUD COMPUTING ENVIRONMENTS
Public social media and cloud
applications
Business oriented public social
media and cloud applications
Private business oriented social
media and cloud applications
e.g. Google Documents e.g. Yammer e.g. phpBB
e.g. WordPress e.g. ZenDesk e.g. Confluence
e.g. Facebook e.g. SharePoint Online e.g. SharePoint Server
NOVI RESEARCH CENTER
TUT.FI/NOVI
TWITTER: @NOVIRESEARCH
15
16. Ref. Schubert & Jeffery 2012
NOVI RESEARCH CENTER
TUT.FI/NOVI
TWITTER: @NOVIRESEARCH
16
17. PRIMARY CHARACTERISTICS OF CLOUD
SYSTEMS
• Utility computing
• allow easy outsourcing of IT resources infrastructure, by moving the in-house
applications to a dedicated (public) CLOUD provider
• Elasticity
• allow the environment to – ideally automatically – assign a dynamic number of
resources to a task
• Availability and Reliability
• CLOUD systems build up on the internet of service principle to expose the services
in a highly accessible fashion, i.e. with minimal configuration and device
requirements (generally through a browser). CLOUDs enhance this aspect further
by virtualising the service / resource access, basically allowing access “anywhere,
anytime”
• Ease of use
• The fact is that CLOUDs can reduce the overhead for managing and administering
resources through automation and outsourcing, and should reduce the overhead
for creating highly available and reliable services
Ref. Schubert & Jeffery 2012
NOVI RESEARCH CENTER
TUT.FI/NOVI
TWITTER: @NOVIRESEARCH
17
18. SOCIAL MEDIA GENRES
Ref. Lietsala & Sirkkunen
NOVI RESEARCH CENTER
TUT.FI/NOVI
TWITTER: @NOVIRESEARCH
18
19. More on social media
tools and processes:
• Lietsala & Sirkkunen
Ref. Lietsala & Sirkkunen 2008
NOVI RESEARCH CENTER
TUT.FI/NOVI
TWITTER: @NOVIRESEARCH
19
20. ADOPTION OF CORPORATE
TECHNOLOGIES
Automating transactions Enabling collaboration and participation
Adoption of ERP, CRM, SCM
- Users assigned by
management
- Users must comply with
rules
- Often complex technology
investment
Adoption of Web 2.0 tools
- User groups can form
unexpectedly
- Users engage in high
degree participation
- Technology investment
often lightweight overlay to
existing infrastructure
Traditional IT
Web 2.0 tools
Time
1990s 2009
Productivity
Ref. McKinsey 2009
NOVI RESEARCH CENTER
TUT.FI/NOVI
TWITTER: @NOVIRESEARCH
20
21. 21
Ref. Pirttilä 2014
NOVI RESEARCH CENTER
TUT.FI/NOVI
TWITTER: @NOVIRESEARCH
22. Changed service systems enabled by corporate technologies
Ref. Pirttilä 2014
NOVI RESEARCH CENTER
TUT.FI/NOVI
TWITTER: @NOVIRESEARCH
22
23. A DATA PERSPECTIVE ON INFORMATION SYSTEMS
WEB
BIG DATA
Web logs
Offer history A / B testing
ERP
CRM
ostotiedot
maksutiedot
segmentointi
tarjoustiedot
asiakaskohtaamiset
tukikontaktit
Sentiment
Dynamic Pricing
Affiliate Networks
Search marketing
Behavioral targeting
Dynamic Funnels
Social Network
External Demographics
Business Data Feeds
Pictures & Video
Speech to Text
Sensor Data
Product/Service Logs
SMS/MMS
User Generated Content
Mobile Web
User Click Stream
Location Data
Ref. Yli-Pietilä & Backman 2013; Valli & Ahlgren 2013
NOVI RESEARCH CENTER
TUT.FI/NOVI
TWITTER: @NOVIRESEARCH
23
24. EXAMPLE OF PREDICTION MARKETS
Ref. Wolfers & Zitzewitz 2004
NOVI RESEARCH CENTER
TUT.FI/NOVI
TWITTER: @NOVIRESEARCH
24
25. EXAMPLE OF NEW APPLICATION IN
SALES FUNCTION
• Concern over the taste of a new coffee
• Social media was followed
• Taste was fine, but price was too high
• Price was reduced the same day
Ref. Kaisler et al. 2013 Introduction to Big Data
NOVI RESEARCH CENTER
TUT.FI/NOVI
TWITTER: @NOVIRESEARCH
25
26. EXAMPLE OF NEW APPLICATION IN
SERVICE FUNCTION
• Business challenge
• Needed to gain deeper insights into the causes and combinations of
circumstances which led to warranty issues
• Needed to increase customer satisfaction through increased product quality
and reduced warranty issues
• Solution implemented
• Implemented a data mining capability to gain actionable insights across a
wide range of warranty issues
• Feedback of issue findings into product design process for improvements
and modified service patterns where these were demonstrated to have
contributed to warranty issues
• Demonstrated business value
• Reduced warranty cases from 1.1 to 0.85 per vehicle
• 5% reduction in warranty cases
• Annual savings of €30m approximately
Ref. IBM 2013 Improving Operational and Financial Results through Predictive Maintenance
NOVI RESEARCH CENTER
TUT.FI/NOVI
TWITTER: @NOVIRESEARCH
26
27. BIG DATA DRIVEN AGENT-BASED MODEL IN
PREDICTION BUSINESS DECISIONS
The average cumulative sales of PS3 and Xbox 360 predicted by the model
against the real cumulative sales of the two consoles.
Ref. Huotari et al. 2014 Winter Simulation Conference*
NOVI RESEARCH CENTER
TUT.FI/NOVI
TWITTER: @NOVIRESEARCH
27
Huotari, Järvi, Kortelainen et al. 2014
28. From reporting to operational analytics OPERATIONAL INTELLIGENCE
REPORTING
WHAT
happened?
Batch reports
ANALYZING
WHY
did it happen?
Ad Hoc,
BI tools
PREDICTING
WHAT WILL
happen?
Predictive
models
OPERATIONALIZING
WHAT IS
happening now?
Link to
Operational
Systems
ACTIVATING
MAKE
it happen
Automatic
Linkages
STRATEGIC INTELLIGENCE
NOVI RESEARCH CENTER
TUT.FI/NOVI
TWITTER: @NOVIRESEARCH
28
Yli-Pietilä & Backman 2013
29. NEW TRENDS IN MANAGEMENT
INFORMATION SYSTEMS
• Using collective intelligence and wisdom of crowds in decision
making
• e.g. Prediction markets
• Using real-time or near real-time data in decision making
• e.g. Starbucks product price optimization
• e.g. Telefonica customer support
• Using increased computing power in predicting results / options in
management decision making
• Automated decision making
NOVI RESEARCH CENTER
TUT.FI/NOVI
TWITTER: @NOVIRESEARCH
29
30. Slideshare: http://www.slideshare.net/Noviresearch
30
MORE CONTENT ON KNOWLEDGE
MANAGEMENT:
Twitter: @Noviresearch ja @tietojohtaminen
YouTube: http://youtube.com/noviresearch
NOVI research center’s website
https://www.tut.fi/novi/
NOVI RESEARCH CENTER
TUT.FI/NOVI
TWITTER: @NOVIRESEARCH