The document summarizes key points from an upcoming webinar on data centers and how they are evolving to meet customer needs. It provides details on the agenda, speakers, and discusses major drivers of change for data centers including growing data and device connectivity, cost advantages of outsourcing, and the rise of cloud computing models. It also notes how these trends are pushing companies to re-evaluate their in-house IT options and consider more flexible third-party solutions.
Data Virtualization: Fulfilling The Digital Transformation Requirement In Ban...Denodo
Watch full webinar here: https://bit.ly/3szm3PV
In the digital transformation era, banks need a single view of all their data and a way to establish security controls across the entire infrastructure. This can be achieved with Data Virtualization.
Banking institutions need to update their legacy systems and implement strategies and services that will transform them into digital financial organizations.
They need agile access to information that can be leveraged to make timely business decisions, yet still fulfill the regulatory requirements. In the digital transformation era, banks need a single view of all their data and a way to establish security controls across the entire infrastructure.
This webinar presents:
- How data virtualization can help update and modernize data architectures,
- Success stories of financial companies that already use this technology to differentiate themselves from the competition, optimize processes, and create new business opportunities through more agile data management.
Cloud & Big Data - Digital Transformation in Banking Sutedjo Tjahjadi
Datacomm Cloud Business Overview
Making Indonesia 4.0
Digital Transformation in Banking Industry
Introduction to Cloud Computing
Big Data Analytics Introduction
Big Data Analytics Application in Banking
Redington Value Distribution's ‘Value Journal’, a monthly news journal whose purpose is to update the channel on the latest vendor news and Redington Value’s Channel Initiatives.
Key stories from the September Edition:
• HPE Acquires SGI for $ 275 Million
• Dell-EMC deal set to close in September
• Oracle Minicluster S7-2 Engineered System
• Trend Micro Achieves recommended status from NSS Labs
• Cyberark secures enterprise cloud orchestration and automation
• Fortinet launches universal wireless access points
FourNet Microsoft Teams Direct Routing and Contact Centre IntegrationJoshua Bundy ACIM
This document discusses integrating Microsoft Teams with Agile Cloud's Direct Routing and contact center capabilities. It describes how Teams can be used for internal collaboration as well as external calling through Direct Routing. This avoids expensive calling plans. The contact center can then be integrated with Teams to allow customer service via various channels and enable agents to collaborate using Teams. Sprints are proposed to quickly build Teams voice, a contact center, and advanced applications over 10-20 day iterations with no upfront capital costs.
This document discusses how SQL Azure can help businesses leverage cloud computing. It provides three examples of how businesses can use SQL Azure for success: 1) Innovating SaaS or web applications quickly at low cost, 2) Consolidating and virtualizing existing custom applications easily, and 3) Expanding packaged application offerings to the cloud to increase margins and reach new customers. SQL Azure allows businesses to focus on their core business instead of infrastructure and helps lower costs, shorten time to market, and increase scalability and geographical reach.
Slides: Using Analytics and Fraud Management To Increase Revenues and Differe...DATAVERSITY
Fraud has many costs to a business, not only in terms of real dollars lost, but also in draining company resources investigating and prosecuting fraud and in reputational damage. For these reasons alone, companies should put systems and processes in place to combat fraud.
However, there are other extremely compelling strategic reasons why companies should implement fraud solutions which can help them gain competitive advantage, grow market share, increase profits, develop differentiated products, and implement more targeted and advantageous customer pricing.
This webinar will review the multiple business benefits for analyzing and combating fraud and the different approaches and best practices to analyzing data for fraud prevention. We will also review several real-life case studies where companies have used fraud analytics to win in the marketplace. Lastly, we will review different technology architectures to enable optimal fraud analytics and prevention.
The Briefing Room with John Myers and Alteryx
Live Webcast on Nov. 27, 2012
What's the biggest challenge with Big Data so far? By and large, it's the big pain in delivering the right data in a timely fashion, and in a way that decision-makers can easily use. That's quickly changing because of the tremendous demand for tools that even non-technical business users can effectively employ. Capabilities are being designed by software vendors large and small, to provide easier access and more intuitive ways for working with Big Data. Even still, the effort to make Big Data useful is very much a work in progress.
Check out this episode of The Briefing Room to hear veteran Analyst John Myers of EMA explain why Big Data poses challenges and opportunities for professionals looking to better understand their markets, prospects and customers. Myers will be briefed by Paul Ross of Alteryx, who will tout his company's efforts to "humanize" Big Data using their strategic analytics platform, designed to: 1) facilitate access to Big Data, especially in combination with other data sets; 2) give analysts an intuitive, workflow-based approach for build the targeted analytics their business needs; and, 3) make the consumption of these analytics by decision-makers as simple as using the apps they use at home.
Visit: http://www.insideanalysis.com
Foundational Strategies for Trusted Data: Getting Your Data to the CloudPrecisely
To trust your reporting, analytics, and ML outcomes, you must have access to all the data required for confident decision-making. In this on-demand session we’ll explore strategies for breaking data out of silos and getting it into the cloud – with an emphasis on integrating data from complex legacy systems.
Data Virtualization: Fulfilling The Digital Transformation Requirement In Ban...Denodo
Watch full webinar here: https://bit.ly/3szm3PV
In the digital transformation era, banks need a single view of all their data and a way to establish security controls across the entire infrastructure. This can be achieved with Data Virtualization.
Banking institutions need to update their legacy systems and implement strategies and services that will transform them into digital financial organizations.
They need agile access to information that can be leveraged to make timely business decisions, yet still fulfill the regulatory requirements. In the digital transformation era, banks need a single view of all their data and a way to establish security controls across the entire infrastructure.
This webinar presents:
- How data virtualization can help update and modernize data architectures,
- Success stories of financial companies that already use this technology to differentiate themselves from the competition, optimize processes, and create new business opportunities through more agile data management.
Cloud & Big Data - Digital Transformation in Banking Sutedjo Tjahjadi
Datacomm Cloud Business Overview
Making Indonesia 4.0
Digital Transformation in Banking Industry
Introduction to Cloud Computing
Big Data Analytics Introduction
Big Data Analytics Application in Banking
Redington Value Distribution's ‘Value Journal’, a monthly news journal whose purpose is to update the channel on the latest vendor news and Redington Value’s Channel Initiatives.
Key stories from the September Edition:
• HPE Acquires SGI for $ 275 Million
• Dell-EMC deal set to close in September
• Oracle Minicluster S7-2 Engineered System
• Trend Micro Achieves recommended status from NSS Labs
• Cyberark secures enterprise cloud orchestration and automation
• Fortinet launches universal wireless access points
FourNet Microsoft Teams Direct Routing and Contact Centre IntegrationJoshua Bundy ACIM
This document discusses integrating Microsoft Teams with Agile Cloud's Direct Routing and contact center capabilities. It describes how Teams can be used for internal collaboration as well as external calling through Direct Routing. This avoids expensive calling plans. The contact center can then be integrated with Teams to allow customer service via various channels and enable agents to collaborate using Teams. Sprints are proposed to quickly build Teams voice, a contact center, and advanced applications over 10-20 day iterations with no upfront capital costs.
This document discusses how SQL Azure can help businesses leverage cloud computing. It provides three examples of how businesses can use SQL Azure for success: 1) Innovating SaaS or web applications quickly at low cost, 2) Consolidating and virtualizing existing custom applications easily, and 3) Expanding packaged application offerings to the cloud to increase margins and reach new customers. SQL Azure allows businesses to focus on their core business instead of infrastructure and helps lower costs, shorten time to market, and increase scalability and geographical reach.
Slides: Using Analytics and Fraud Management To Increase Revenues and Differe...DATAVERSITY
Fraud has many costs to a business, not only in terms of real dollars lost, but also in draining company resources investigating and prosecuting fraud and in reputational damage. For these reasons alone, companies should put systems and processes in place to combat fraud.
However, there are other extremely compelling strategic reasons why companies should implement fraud solutions which can help them gain competitive advantage, grow market share, increase profits, develop differentiated products, and implement more targeted and advantageous customer pricing.
This webinar will review the multiple business benefits for analyzing and combating fraud and the different approaches and best practices to analyzing data for fraud prevention. We will also review several real-life case studies where companies have used fraud analytics to win in the marketplace. Lastly, we will review different technology architectures to enable optimal fraud analytics and prevention.
The Briefing Room with John Myers and Alteryx
Live Webcast on Nov. 27, 2012
What's the biggest challenge with Big Data so far? By and large, it's the big pain in delivering the right data in a timely fashion, and in a way that decision-makers can easily use. That's quickly changing because of the tremendous demand for tools that even non-technical business users can effectively employ. Capabilities are being designed by software vendors large and small, to provide easier access and more intuitive ways for working with Big Data. Even still, the effort to make Big Data useful is very much a work in progress.
Check out this episode of The Briefing Room to hear veteran Analyst John Myers of EMA explain why Big Data poses challenges and opportunities for professionals looking to better understand their markets, prospects and customers. Myers will be briefed by Paul Ross of Alteryx, who will tout his company's efforts to "humanize" Big Data using their strategic analytics platform, designed to: 1) facilitate access to Big Data, especially in combination with other data sets; 2) give analysts an intuitive, workflow-based approach for build the targeted analytics their business needs; and, 3) make the consumption of these analytics by decision-makers as simple as using the apps they use at home.
Visit: http://www.insideanalysis.com
Foundational Strategies for Trusted Data: Getting Your Data to the CloudPrecisely
To trust your reporting, analytics, and ML outcomes, you must have access to all the data required for confident decision-making. In this on-demand session we’ll explore strategies for breaking data out of silos and getting it into the cloud – with an emphasis on integrating data from complex legacy systems.
Introduction to Modern Data Virtualization 2021 (APAC)Denodo
Watch full webinar here: https://bit.ly/2XXyc3R
“Through 2022, 60% of all organisations will implement data virtualization as one key delivery style in their data integration architecture," according to Gartner. What is data virtualization and why is its adoption growing so quickly? Modern data virtualization accelerates that time to insights and data services without copying or moving data.
Watch on-demand this webinar to learn:
- Why organizations across the world are adopting data virtualization
- What is modern data virtualization
- How data virtualization works and how it compares to alternative approaches to data integration and management
- How modern data virtualization can significantly increase agility while reducing costs
This document summarizes several use cases for the Vectorwise real-time analytics platform. It describes how several companies from different industries like retail, finance, social media, advertising, manufacturing, and government are using Vectorwise to gain fast insights from large datasets. Specific benefits mentioned include extremely fast performance, ability to handle large datasets, low cost, and ease of use. Example implementations involved Pentaho, custom applications, and partners like Accenture. Quotes from various customers highlighted how Vectorwise has helped optimize operations, strengthen competitive advantages, and fulfill intense data processing needs.
Accelerate Self-Service Analytics with Data Virtualization and VisualizationDenodo
Watch full webinar here: https://bit.ly/3fpitC3
Enterprise organizations are shifting to self-service analytics as business users need real-time access to holistic and consistent views of data regardless of its location, source or type for arriving at critical decisions.
Data Virtualization and Data Visualization work together through a universal semantic layer. Learn how they enable self-service data discovery and improve performance of your reports and dashboards.
In this session, you will learn:
- Challenges faced by business users
- How data virtualization enables self-service analytics
- Use case and lessons from customer success
- Overview of the highlight features in Tableau
Data Democratization for Faster Decision-making and Business Agility (ASEAN)Denodo
Watch full webinar here: https://bit.ly/3ogsO7F
Presented at 3rd Chief Digital Officer Asia Summit
The idea behind Data democratization is to enable every type of user in a company to have access to data and to ensure that there is no dependency on any single party that might create a bottleneck to data access. But this is easier said than done especially given the complex data management landscape that most organizations have today. Data virtualization is a modern data integration technique that not only delivers data in real time without replication but also simplifies data discovery, data exploration and navigating between related data sets.
In this on-demand session, you will understand how data virtualization enables enterprises to:
- Reduce up to 80% the time required to deliver data to the business adapted to the needs of each user
- Apply consistent security and governance policies across the self-service data delivery process
- Seamlessly implement the concept of 'Data Marketplace'
Big Data Expo 2015 - Pentaho The Future of AnalyticsBigDataExpo
Leer hoe Pentaho kan helpen om zowel legacy data en ongestructureerde (Big) data van verschillende bronnen te blenden en te verrijken om zo waarde te creeeren voor uw organisatie. Praktische voorbeelden illustreren hoe Pentaho dit al bij vele organisaties heeft weten te bereiken.
Zie hoe organisaties Pentaho onder andere inzetten om:
• problemen met te lange ETL jobs op te lossen waardoor Data Warehouse loads weer doorgaan,
• de kosten van data-integratie te verlagen,
• het overlopen van traditionele Data Warehouses en bijkomende kosten doet voorkomen,
• Data Quality en Data Governence in uw process inbrengt en
• hoe dit vervolgens embedded in uw applicaties kan worden geanalyseerd.
This document discusses edge computing and distributed intelligence. It begins with definitions of edge computing and fog computing, noting that fog computing refers to computing near the data source rather than in centralized data centers. It then explores architectural choices for distributed intelligence, including moving computation to data sources using multi-tier IoT architectures that incorporate edge devices, gateways and cloud computing. The document discusses how distributed intelligence can create business value by gaining insights from customer data sources. It provides examples of sensing modalities that could be leveraged and recommends evaluating streaming data from various sources to gain insights.
This document provides an overview of blockchain and initial coin offerings (ICOs). It discusses common myths about blockchain, such as the ideas that blockchain is just for Bitcoin, proof of work is the only consensus method, and that all data needs to be stored on a blockchain. The document also covers blockchain use cases, validation of blockchains, and the benefits and challenges of ICOs as a method of fundraising. It aims to demystify blockchain and provide essential information about this emerging technology.
Charles Verdon - Samedi SQL - Futur de l'intelligence d'affaire MSDEVMTL
This document discusses the future of business intelligence being real-time. It highlights how real-time data analytics and insights, intelligent systems, cloud infrastructure, devices and assets can help redefine customer service, open new business opportunities, and build competitive edge. The document also discusses challenges of dealing with large amounts of data and devices, and gaining insights from real-time data streams. It promotes connecting existing devices and infrastructure to realize the potential of internet of things.
Dcaf transformation & kg adoption 2022 -alan morrisonAlan Morrison
A keynote presentation on knowledge graph adoption trends and how to do digital transformation differently.
Delivered at the Enterprise Data Transformation & Knowledge Graph Adoption
A Semantic Arts DCAF Event
February 28, 2022
The document discusses HP's HAVEn big data platform. HAVEn integrates HP technologies like Vertica, Autonomy IDOL, and ArcSight to ingest, analyze, and understand both machine and human data at scale. The platform is designed to process both structured and unstructured data from various sources and provide analytics and visualization capabilities. Examples of companies using HAVEn solutions for log analysis, sensor data analysis, and early warning systems are also presented.
Three trends will shape data center technologies in 2020 and beyond:
1. Data center management tools will increasingly utilize machine learning and predictive analytics based on large amounts of operational data collected from customer devices.
2. Edge computing is driving demand for smaller, denser power and cooling technologies to shrink infrastructure footprints. Immersion cooling is one approach gaining adoption.
3. Alternatives to diesel generators such as lithium-ion batteries are being explored but widespread replacement may not occur until batteries can provide equivalent runtimes at lower costs.
A Successful Data Strategy for Insurers in Volatile Times (ASEAN)Denodo
Watch full webinar here: https://bit.ly/3rpr4La
Data is an insurer’s most valuable asset. Capitalizing on all of that stored and incoming data to draw valuable insights for business decisions is what ultimately makes a competitive difference.
But, insurers face challenges when it comes to modernizing and digitizing their data architectures. Most organizations rely on traditional systems and data integration processes that are time consuming and slow. In addition, as many adopt cloud strategies, these traditional approaches fill the cloud modernization process with downtime and end user frustration.
This is why insurers need a flexible and easily adaptable data integration technology that allows them to keep up with the ever-changing and growing data environment.
Data virtualization is that modern data integration technology. It can support insurers not only on their journey to digitization, but also on their future infrastructure changes and innovations, adding agility, flexibility and efficiency to data architectures. Data virtualization can help insurance companies create 360° views of deals and claims processes as well as gather quick social media or sensor data for on-the-go risk profiling.
Join this on-demand webinar to:
- Find out why data virtualization should be a part of your enterprise data strategy
- See how this technology can help you capitalize on your data
- Hear how many of your peers are already leveraging the Denodo Platform for Data Virtualization and the benefits they’re observing
One Page Blockchain Theme Proposal For Distributed Ledger Presentation Report...SlideTeam
Here we present One Page Blockchain Theme Proposal For Distributed Ledger Presentation Report Infographic PPT PDF Document one pager template. You may be familiar with the word blockchain technology if you have been into investment, and banking. It is a record keeping technology that provides you a data structure assisting you in holding the transactional records ensuring transparency, security and decentralization. This bitcoin blockchain one pager PowerPoint template can be used to depict the entire concept of blockchain technology including its major components. This blockchain development one pager PowerPoint template covers the information about the project overview, and the objectives. You can also display how one can keep record of all the transactions within a business organization using digital ledger. This one pager has a section depicting the plan of action, and the key milestones. This blockchain technology PowerPoint slide also lets you present the project team, their names, designation and their roles and responsibilities. Jot down your past projects that you have been handling using this readily available customizable PowerPoint slide show. Add or delete the elements and make alterations in the slide in just few clicks. This slide can be completely edited from A to Z , its colours, to its texts and the movements of the objects everything can be altered. Grab this One Page Blockchain Theme Proposal For Distributed Ledger Presentation Report Infographic PPT PDF Document one pager template now. https://bit.ly/3gZOm6S
Digital Businesses Need to Rethink Their Network StrategiesAbhishek Sood
This report from ZK Research explores why it’s critical that digital businesses rethink their network strategies and embrace a software-defined future. Access now to discover:
The challenges of traditional networks
Why SD-WANs are the foundation for new enterprise networks
How you can chart a path to the SD-WAN
Key criteria for evaluating SD-WAN solution providers
Transform Your Customer Experience with Modern Information ManagementNuxeo
According to new Nuxeo research, UK Financial Services firms are storing critical customer information and content - on average - across nine different systems. Additionally, 80% of respondents indicated that their information systems also aren’t integrated.
Not only does this have a significant impact on operational efficiency, it is also negatively impacting customers’ experiences as well. And with the specter of GDPR and other consumer privacy legislation looming, many organisations are finding it impossible to respond to these regulations and resulting customer inquiries.
In this webinar, we will share real-life examples of how leading financial services organisations - like ABN Amro, one of the Netherlands largest and most progressive banks - have modernised their legacy information systems to use data and content in new and innovative ways to deliver more value to their customers, reduce technology costs, and transform their businesses.
What you’ll learn:
- Why current information management strategies make financial services less competitive
- How to bridge information silos to enhance your customer experience
- Methods to improve decision-making with intelligent information
- How other top banks and insurers have already modernised their information management systems and what benefits they are experiencing
- How AI can provide greater automation and insight into financial services processes
- And, new ways to better comply with regulations
Our panelist will discuss common information management challenges that legacy systems pose, and how to intelligently modernise existing systems to support digital transformation, take advantage of new cloud technologies, and gain a competitive advantage in today’s financial services market.
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.
This document summarizes a webinar on data as a service. It discusses how data virtualization through Denodo can enable agile business intelligence by providing pre-aggregated data to users quickly. It describes how Denodo creates API access to data, allows for an enterprise data marketplace, and integrates machine learning models to power operational AI. A demonstration of a personal COVID-19 risk monitor is provided.
Data-driven enterprise requires intelligent, sentient, and resilient software systems to address information processing structures to deal with rapid fluctuations in resource demand and availability.
Communication, Collaboration and Commerce workflows at the speed of light demand always-on anti-fragile systems
Both autonomic computing and neural networks provide a next generation set of technologies to meet the needs of the data-driven enterprise at the speed of light
Crypto-Security and New Digital Asset Life-cycle Managent assures the Asset’s Confidentiality, Integrity, Availability providing Privacy & Protection of Individual Rights
PEM2: Control Applications Portfolio from GE PowerPredix
http://predixtransform.com
This session explains how Predix Machine was used to interact with real-time control systems (the GE A&C Mark VI/VIe platform), creating the first generation of GE Power Industrial Internet Applications (IIA). We will show life app demos, and take an in-depth look at their architecture.
GE underwent a major transformation under the leadership of Jack Welch from 1981 to 2001. Welch restructured GE by selling unprofitable business and making hundreds of acquisitions. He focused on developing a performance-driven culture and making GE the number 1 or 2 in all of its business lines. Welch also expanded GE globally and pushed the company to constantly challenge itself. Under Welch, GE became highly profitable and grew to become one of the largest and most valuable companies in the world.
Introduction to Modern Data Virtualization 2021 (APAC)Denodo
Watch full webinar here: https://bit.ly/2XXyc3R
“Through 2022, 60% of all organisations will implement data virtualization as one key delivery style in their data integration architecture," according to Gartner. What is data virtualization and why is its adoption growing so quickly? Modern data virtualization accelerates that time to insights and data services without copying or moving data.
Watch on-demand this webinar to learn:
- Why organizations across the world are adopting data virtualization
- What is modern data virtualization
- How data virtualization works and how it compares to alternative approaches to data integration and management
- How modern data virtualization can significantly increase agility while reducing costs
This document summarizes several use cases for the Vectorwise real-time analytics platform. It describes how several companies from different industries like retail, finance, social media, advertising, manufacturing, and government are using Vectorwise to gain fast insights from large datasets. Specific benefits mentioned include extremely fast performance, ability to handle large datasets, low cost, and ease of use. Example implementations involved Pentaho, custom applications, and partners like Accenture. Quotes from various customers highlighted how Vectorwise has helped optimize operations, strengthen competitive advantages, and fulfill intense data processing needs.
Accelerate Self-Service Analytics with Data Virtualization and VisualizationDenodo
Watch full webinar here: https://bit.ly/3fpitC3
Enterprise organizations are shifting to self-service analytics as business users need real-time access to holistic and consistent views of data regardless of its location, source or type for arriving at critical decisions.
Data Virtualization and Data Visualization work together through a universal semantic layer. Learn how they enable self-service data discovery and improve performance of your reports and dashboards.
In this session, you will learn:
- Challenges faced by business users
- How data virtualization enables self-service analytics
- Use case and lessons from customer success
- Overview of the highlight features in Tableau
Data Democratization for Faster Decision-making and Business Agility (ASEAN)Denodo
Watch full webinar here: https://bit.ly/3ogsO7F
Presented at 3rd Chief Digital Officer Asia Summit
The idea behind Data democratization is to enable every type of user in a company to have access to data and to ensure that there is no dependency on any single party that might create a bottleneck to data access. But this is easier said than done especially given the complex data management landscape that most organizations have today. Data virtualization is a modern data integration technique that not only delivers data in real time without replication but also simplifies data discovery, data exploration and navigating between related data sets.
In this on-demand session, you will understand how data virtualization enables enterprises to:
- Reduce up to 80% the time required to deliver data to the business adapted to the needs of each user
- Apply consistent security and governance policies across the self-service data delivery process
- Seamlessly implement the concept of 'Data Marketplace'
Big Data Expo 2015 - Pentaho The Future of AnalyticsBigDataExpo
Leer hoe Pentaho kan helpen om zowel legacy data en ongestructureerde (Big) data van verschillende bronnen te blenden en te verrijken om zo waarde te creeeren voor uw organisatie. Praktische voorbeelden illustreren hoe Pentaho dit al bij vele organisaties heeft weten te bereiken.
Zie hoe organisaties Pentaho onder andere inzetten om:
• problemen met te lange ETL jobs op te lossen waardoor Data Warehouse loads weer doorgaan,
• de kosten van data-integratie te verlagen,
• het overlopen van traditionele Data Warehouses en bijkomende kosten doet voorkomen,
• Data Quality en Data Governence in uw process inbrengt en
• hoe dit vervolgens embedded in uw applicaties kan worden geanalyseerd.
This document discusses edge computing and distributed intelligence. It begins with definitions of edge computing and fog computing, noting that fog computing refers to computing near the data source rather than in centralized data centers. It then explores architectural choices for distributed intelligence, including moving computation to data sources using multi-tier IoT architectures that incorporate edge devices, gateways and cloud computing. The document discusses how distributed intelligence can create business value by gaining insights from customer data sources. It provides examples of sensing modalities that could be leveraged and recommends evaluating streaming data from various sources to gain insights.
This document provides an overview of blockchain and initial coin offerings (ICOs). It discusses common myths about blockchain, such as the ideas that blockchain is just for Bitcoin, proof of work is the only consensus method, and that all data needs to be stored on a blockchain. The document also covers blockchain use cases, validation of blockchains, and the benefits and challenges of ICOs as a method of fundraising. It aims to demystify blockchain and provide essential information about this emerging technology.
Charles Verdon - Samedi SQL - Futur de l'intelligence d'affaire MSDEVMTL
This document discusses the future of business intelligence being real-time. It highlights how real-time data analytics and insights, intelligent systems, cloud infrastructure, devices and assets can help redefine customer service, open new business opportunities, and build competitive edge. The document also discusses challenges of dealing with large amounts of data and devices, and gaining insights from real-time data streams. It promotes connecting existing devices and infrastructure to realize the potential of internet of things.
Dcaf transformation & kg adoption 2022 -alan morrisonAlan Morrison
A keynote presentation on knowledge graph adoption trends and how to do digital transformation differently.
Delivered at the Enterprise Data Transformation & Knowledge Graph Adoption
A Semantic Arts DCAF Event
February 28, 2022
The document discusses HP's HAVEn big data platform. HAVEn integrates HP technologies like Vertica, Autonomy IDOL, and ArcSight to ingest, analyze, and understand both machine and human data at scale. The platform is designed to process both structured and unstructured data from various sources and provide analytics and visualization capabilities. Examples of companies using HAVEn solutions for log analysis, sensor data analysis, and early warning systems are also presented.
Three trends will shape data center technologies in 2020 and beyond:
1. Data center management tools will increasingly utilize machine learning and predictive analytics based on large amounts of operational data collected from customer devices.
2. Edge computing is driving demand for smaller, denser power and cooling technologies to shrink infrastructure footprints. Immersion cooling is one approach gaining adoption.
3. Alternatives to diesel generators such as lithium-ion batteries are being explored but widespread replacement may not occur until batteries can provide equivalent runtimes at lower costs.
A Successful Data Strategy for Insurers in Volatile Times (ASEAN)Denodo
Watch full webinar here: https://bit.ly/3rpr4La
Data is an insurer’s most valuable asset. Capitalizing on all of that stored and incoming data to draw valuable insights for business decisions is what ultimately makes a competitive difference.
But, insurers face challenges when it comes to modernizing and digitizing their data architectures. Most organizations rely on traditional systems and data integration processes that are time consuming and slow. In addition, as many adopt cloud strategies, these traditional approaches fill the cloud modernization process with downtime and end user frustration.
This is why insurers need a flexible and easily adaptable data integration technology that allows them to keep up with the ever-changing and growing data environment.
Data virtualization is that modern data integration technology. It can support insurers not only on their journey to digitization, but also on their future infrastructure changes and innovations, adding agility, flexibility and efficiency to data architectures. Data virtualization can help insurance companies create 360° views of deals and claims processes as well as gather quick social media or sensor data for on-the-go risk profiling.
Join this on-demand webinar to:
- Find out why data virtualization should be a part of your enterprise data strategy
- See how this technology can help you capitalize on your data
- Hear how many of your peers are already leveraging the Denodo Platform for Data Virtualization and the benefits they’re observing
One Page Blockchain Theme Proposal For Distributed Ledger Presentation Report...SlideTeam
Here we present One Page Blockchain Theme Proposal For Distributed Ledger Presentation Report Infographic PPT PDF Document one pager template. You may be familiar with the word blockchain technology if you have been into investment, and banking. It is a record keeping technology that provides you a data structure assisting you in holding the transactional records ensuring transparency, security and decentralization. This bitcoin blockchain one pager PowerPoint template can be used to depict the entire concept of blockchain technology including its major components. This blockchain development one pager PowerPoint template covers the information about the project overview, and the objectives. You can also display how one can keep record of all the transactions within a business organization using digital ledger. This one pager has a section depicting the plan of action, and the key milestones. This blockchain technology PowerPoint slide also lets you present the project team, their names, designation and their roles and responsibilities. Jot down your past projects that you have been handling using this readily available customizable PowerPoint slide show. Add or delete the elements and make alterations in the slide in just few clicks. This slide can be completely edited from A to Z , its colours, to its texts and the movements of the objects everything can be altered. Grab this One Page Blockchain Theme Proposal For Distributed Ledger Presentation Report Infographic PPT PDF Document one pager template now. https://bit.ly/3gZOm6S
Digital Businesses Need to Rethink Their Network StrategiesAbhishek Sood
This report from ZK Research explores why it’s critical that digital businesses rethink their network strategies and embrace a software-defined future. Access now to discover:
The challenges of traditional networks
Why SD-WANs are the foundation for new enterprise networks
How you can chart a path to the SD-WAN
Key criteria for evaluating SD-WAN solution providers
Transform Your Customer Experience with Modern Information ManagementNuxeo
According to new Nuxeo research, UK Financial Services firms are storing critical customer information and content - on average - across nine different systems. Additionally, 80% of respondents indicated that their information systems also aren’t integrated.
Not only does this have a significant impact on operational efficiency, it is also negatively impacting customers’ experiences as well. And with the specter of GDPR and other consumer privacy legislation looming, many organisations are finding it impossible to respond to these regulations and resulting customer inquiries.
In this webinar, we will share real-life examples of how leading financial services organisations - like ABN Amro, one of the Netherlands largest and most progressive banks - have modernised their legacy information systems to use data and content in new and innovative ways to deliver more value to their customers, reduce technology costs, and transform their businesses.
What you’ll learn:
- Why current information management strategies make financial services less competitive
- How to bridge information silos to enhance your customer experience
- Methods to improve decision-making with intelligent information
- How other top banks and insurers have already modernised their information management systems and what benefits they are experiencing
- How AI can provide greater automation and insight into financial services processes
- And, new ways to better comply with regulations
Our panelist will discuss common information management challenges that legacy systems pose, and how to intelligently modernise existing systems to support digital transformation, take advantage of new cloud technologies, and gain a competitive advantage in today’s financial services market.
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.
This document summarizes a webinar on data as a service. It discusses how data virtualization through Denodo can enable agile business intelligence by providing pre-aggregated data to users quickly. It describes how Denodo creates API access to data, allows for an enterprise data marketplace, and integrates machine learning models to power operational AI. A demonstration of a personal COVID-19 risk monitor is provided.
Data-driven enterprise requires intelligent, sentient, and resilient software systems to address information processing structures to deal with rapid fluctuations in resource demand and availability.
Communication, Collaboration and Commerce workflows at the speed of light demand always-on anti-fragile systems
Both autonomic computing and neural networks provide a next generation set of technologies to meet the needs of the data-driven enterprise at the speed of light
Crypto-Security and New Digital Asset Life-cycle Managent assures the Asset’s Confidentiality, Integrity, Availability providing Privacy & Protection of Individual Rights
PEM2: Control Applications Portfolio from GE PowerPredix
http://predixtransform.com
This session explains how Predix Machine was used to interact with real-time control systems (the GE A&C Mark VI/VIe platform), creating the first generation of GE Power Industrial Internet Applications (IIA). We will show life app demos, and take an in-depth look at their architecture.
GE underwent a major transformation under the leadership of Jack Welch from 1981 to 2001. Welch restructured GE by selling unprofitable business and making hundreds of acquisitions. He focused on developing a performance-driven culture and making GE the number 1 or 2 in all of its business lines. Welch also expanded GE globally and pushed the company to constantly challenge itself. Under Welch, GE became highly profitable and grew to become one of the largest and most valuable companies in the world.
The document presents a roadmap for a presentation on General Electric's (GE) matrix, which is used to analyze business portfolio. It discusses strategic planning, the BCG matrix, GE matrix, and how GE classifies businesses based on their market attractiveness and business strength. It then provides examples of different strategies associated with each classification in the GE matrix and factors considered in assessing market attractiveness and business strength. Finally, it gives a case study comparing Tata's businesses using the BCG and GE matrices.
The document discusses control systems and their evolution. It provides an overview of analog control systems, digital control systems, centralized control systems, and distributed control systems. It then focuses on Yokogawa's CENTUM distributed control system (DCS), describing its components, configurations, and I/O modules.
The document provides an overview of the history and operations of General Electric (GE). It details how GE was formed through a merger in 1892 and grew to become a multinational conglomerate. It also describes some of the key people who led GE, including Thomas Edison, Jack Welch, and current CEO Jeffrey Immelt, and how their leadership and strategies transformed the company.
GE has a long history and operates in many industries globally. It uses a multi-divisional structure to manage its diverse businesses.
Over time, GE's culture and values have shifted from an earlier focus on competition and individual performance under Jack Welch, to emphasizing local decision making, global expansion, and spreading ideas quickly under Jeff Immelt's leadership.
GE has implemented various processes like Six Sigma and Work-Out to drive innovation and improvement, and now focuses on initiatives like Ecomagination for sustainable growth through new technologies and effective use of its resources and portfolio.
CL2015 - Datacenter and Cloud Strategy and PlanningCisco
This document discusses strategies for data center and cloud transformation over the next 5 years. It outlines key digital business trends like data growth, cloud adoption, and security threats that are driving organizations' IT initiatives. These include managing increased data and applications, optimizing cloud strategies, addressing disruptive business models, and securing distributed data and applications. The document advocates adopting flexible consumption models, automation, and supporting edge/IoT applications. It positions Cisco as uniquely able to enable digital transformations through its portfolio of networking, compute, storage, automation, analytics, and security solutions.
Unleash the power of your data and gain instant insights without additional investments in IT infrastructure. We review the state of data analytics, discuss the differences in long-term, medium-term and (near) real-time data and how companies can leverage it with PowerBI.
Dell NVIDIA AI Powered Transformation in Financial Services WebinarBill Wong
Digital transformation through data analytics and AI can help financial services firms address business, technology, and labor challenges caused by COVID-19. Key trends include increased reliance on remote work and digital platforms, and the importance of data analytics for decision making. By 2025, 90% of new apps will use AI. The document discusses NVIDIA and Dell Technologies' partnership and strategies for providing infrastructure to support AI workloads through solutions like the DGX A100 system, which can support training, inference, and analytics on one platform through technologies like GPUs and MIG. This helps provide a more flexible and efficient infrastructure compared to traditional siloed approaches.
The document discusses how hybrid IT infrastructure solutions, which utilize a mix of colocated data centers, managed services, and cloud computing, allow organizations to balance IT agility demands with cost constraints. It notes that a recent survey found most companies will rely on a hybrid model for the next 5 years. The hybrid approach allows companies to select the right infrastructure type for each application based on factors like risk, cost, and agility needs. Colocation is often the initial step as it provides control and quick deployment, while managed services and cloud use will grow over time.
This document discusses a study by IDC on the business value of VCE Vblock converged infrastructure systems. The study found that Vblock customers achieved significant benefits including improved IT agility, increased innovation and business enablement, higher application development and service delivery, reduced costs, and improved customer experience. On average, customers saw a 518% return on investment and payback period of 7.5 months. Key benefits included faster provisioning, increased staff productivity, reduced downtime, and accelerated application development cycles. [/SUMMARY]
White Paper IDC | The Business Value of VCE Vblock Systems: Leveraging Conver...Melissa Luongo
The Business Value of VCE Vblock Systems: Leveraging Convergence to Drive Business Agility
In the past decade, information technology (IT) evolved from an enabler of back-office business processes to the very foundation of a modern business. In the increasingly digital and mobile world, the datacenter is often the first and most frequent point of contact with customers. The ability to innovate quickly lies at the heart of today’s changing business models. Businesses expect their IT investments to accelerate their pace of innovation, provide flexibility to meet new demands, and continually reduce the costs of operations.
Converged infrastructure is essential for many companies to ensure that their datacenter infrastructures can meet today’s challenges. The business rationale for deploying converged infrastructure goes far beyond traditional IT feeds and speeds. Customers using converged solutions like VCE’s Vblock Systems (Vblock) realize lower costs, greater levels of utilization, and reduced downtime. VCE customers in this study recognized business benefits such as improved organizational agility, faster application development, increased innovation, and improved employee productivity.
IDC interviewed 16 VCE Vblock Systems customers to understand and quantify the benefits delivered by their Vblock converged infrastructure deployments. Vblock Systems are built by VCE using compute, network, and storage technologies and virtualization software from Cisco, EMC, and VMware.
IDC found that by using Vblock Systems, these organizations recorded improved business outcomes and that these improvements are increasingly driving IT investment decisions.
All VCE customers interviewed for this study generated substantial business value by consolidating their IT infrastructures with Vblock. IDC calculates that these VCE customers will generate five-year discounted benefits worth an average of $384,202 per 100 users by using Vblock, which will result in an average return on investment (ROI) of 518% and a payback period of 7.5 months.
This document discusses a study by IDC on the business value of VCE Vblock converged infrastructure systems. The study found that Vblock customers achieved significant benefits including improved IT agility, increased innovation and business enablement, higher application development and service delivery, reduced costs, and improved customer experience. On average, customers saw a 518% return on investment and payback period of 7.5 months. Key benefits included faster provisioning, improved productivity, and more time spent on strategic initiatives rather than infrastructure maintenance. [/SUMMARY]
A Connected Data Landscape: Virtualization and the Internet of ThingsInside Analysis
The Briefing Room with Dr. Robin Bloor and Cisco
Live Webcast March 3, 2015
Watch the archive: https://bloorgroup.webex.com/bloorgroup/lsr.php?RCID=a75f0f379405de155800a37b2bf104db
Data at rest, data in motion - regardless of its trajectory, data remains the lifeblood of today's information economy. But finding a way to bridge old systems with new opportunities requires an innovative data strategy, one that takes advantage of multiple processing technologies. With the optimal architecture in place, companies can harness years of work in traditional information systems, while opening the door to the flood of new data sources available.
Register for this episode of The Briefing Room to learn from veteran Analyst Dr. Robin Bloor, as he explains how data virtualization and other data technologies fundamentally change what's possible with data access, movement and analysis. He'll be briefed by David Besemer of Cisco, who will discuss how this new kind of data strategy can enable the integration of legacy systems, Cloud computing and the Internet of Things. He'll also answer questions about how Big Data and the IoT are helping to redefine the practice of data management.
Visis InsideAnalysis.com for more information.
1) In-memory computing is growing rapidly, with the total data market expected to grow from $69 billion in 2015 to $132 billion in 2020.
2) In-memory databases are gaining popularity for applications that require fast response times, like telecommunications and mobile advertising, as memory access is faster than disk access.
3) Modern applications are driving adoption of in-memory solutions as they generate more data from more users and transactions and require faster performance to handle growing traffic.
4) Two examples presented were DellEMC using MemSQL for a real-time customer 360 application and an IoT logistics application called MemEx that processes sensor data from warehouses for predictive analytics.
- US public cloud service revenue is forecasted to increase 19.6% annually between 2013 and 2018, with infrastructure as a service (IaaS) and platform as a service (PaaS) gaining market share over software as a service (SaaS). Private cloud spending on hardware and software is also expected to rise significantly.
- Cloud services are driving growth in data center capacity and traffic. While internal data center capacity grows slowly, outsourced capacity at service providers is increasing rapidly. Most new data center workloads will be cloud-based.
- Multiple factors are fueling cloud adoption, including the growth of mobile users and connected devices generating vast amounts of data, as well as the need to analyze
Cisco Connect Halifax 2018 Cisco dna - network intuitiveCisco Canada
Cisco's Digital Network Architecture (DNA) offers a new holistic approach to meet the requirements of the digitized enterprise. DNA Center provides new automation, analytics, and assurance capabilities including a GUI, automated workflows, and insights to simplify operations. The session introduces DNA's approach to translating business intent into network policies through automation and using context to gain intelligence from network data.
Blair christie global editors conf 12.9.14 finalMarc Musgrove
The document discusses how the Internet of Everything (IoE) is changing business through connecting people, processes, data and things. It notes that IoE involves connecting 39% of people and 13 billion connected things which generate more data in a year than the previous 5000 years combined. For businesses to benefit from this data, they must address challenges of integration, automation and analysis. It suggests data virtualization and edge computing/analytics can help with integration and automation, while analytics transforms data into useful insights. Overall the document outlines how IoE is driving changes to business processes, skills needs and innovation through connecting more entities and generating more data.
How to Monitor Digital Dependencies Across Your Modern IT StackThousandEyes
The document discusses how to monitor digital dependencies across a modern IT stack. It notes the challenges of enabling digital services across hybrid work locations, networks, cloud infrastructure and more. When issues arise, outages can significantly impact organizations through lost revenue, customer churn and more. The presentation recommends taking a modern operations approach by collecting data across all infrastructure to identify problems, correlating alerts to prioritize issues, and defining workflows to quickly resolve problems. It demonstrates Cisco's ThousandEyes solution for enhancing operations with expanded visibility.
How to Monitor Digital Dependencies Across Your Modern IT StackThousandEyes
The document discusses how to monitor digital dependencies across a modern IT stack. It notes the challenges of enabling digital services across hybrid work locations, networks, cloud infrastructure and more. When issues arise, outages can significantly impact organizations through lost revenue, customer churn and productivity losses. The presentation recommends taking a modern operations approach by collecting data across all infrastructure to identify problems, correlating alerts to prioritize issues, and defining workflows to quickly resolve problems. It demonstrates Cisco's ThousandEyes solution for enhancing operations through expanded visibility across networks and applications.
Data centers are growing to accommodate more internet-connected devices, with innovations helping achieve network coverage for billions of devices by 2020. As data centers grow, trends like software-driven infrastructure, microtechnology, and alternative energy use are making data centers more efficient by consolidating resources and reducing size. Hyperconvergence allows more efficient use of rack space by consolidating computer storage, networking, and virtualization in compact 2U systems from companies like Simplivity and Nutanix.
The document discusses how to evaluate, rollout, and operationalize SD-WAN projects. It focuses on three key areas: vendor selection, provisioning overlay and underlay connectivity, and operating models and management. It emphasizes the importance of visibility into network performance using tools like ThousandEyes to successfully plan, deploy, and maintain SD-WAN. The presentation includes a demo of ThousandEyes' monitoring capabilities and next steps to learn more.
Big Data has been a "buzz word" for a few years now, and it's generated a fair amount of hype. But, while the technology landscape is still evolving, product companies in the software, web, and hardware areas have actually led the way in delivering real value from data sources like weblogs, sensors, and social media as well as systems like Hadoop, NoSQL, and Analytical Databases. These organizations have built "Big Data Apps" that leverage fast, flexible data frameworks to solve a wide array of user problems, scale to massive audiences, and deliver superior predictive intelligence.
Join this webinar to learn why product managers should understand Big Data and hear about real-life products that have been elevated with these innovative technologies. You will hear from:
- Ben Hopkins, Product Marketing Manager at Pentaho, who will discuss what Big Data means for product strategy and why it represents a new toolset for product teams to meet user needs and build competitive advantage
- Jim Stascavage, VP of Engineering at ESRG, who will discuss how his company has innovated with Big Data and predictive analytics to deliver technology products that optimize fuel consumption and maintenance cycles in the maritime and heavy industry sectors, leveraging trillions of sensor data points a year.
Who Should Attend
Product Managers, Product Marketing Managers, Project Managers, Development Managers, Product Executives, and anyone responsible for addressing customer needs & influencing product strategy.
Developer Conference 2.1 - (Cloud) First Steps to the CloudMicro Focus
This document discusses first steps for moving legacy applications to the cloud. It defines cloud computing models and how the Microsoft Azure platform fits as Infrastructure as a Service (IaaS). The document outlines how COBOL applications can be rehosted on Azure Virtual Machines without rewriting code. It describes tasks for deploying VM roles like creating virtual hard disks for the operating system and applications.
This document discusses issues with traditional infrastructure and how virtualization and cloud computing are changing IT. It provides user testimonies about problems with availability, performance, security and change management. It also summarizes STKI's analysis of server and desktop virtualization trends and recommendations to evaluate virtualizing desktops and doing an initial cloud/SaaS project to experience the benefits of the new IT models.
SPS Utah 2016 - Unlock your big data with analytics and BI on Office 365Brian Culver
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Similar to AccessGE_Data_Centers_06-18-13_final (20)
SPS Utah 2016 - Unlock your big data with analytics and BI on Office 365
AccessGE_Data_Centers_06-18-13_final
1. Dial-in Info:
1-855-235-8283
Conference ID 86723854
Thanks for joining us!
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Rethinking Your Technology Deployments
How Data Centers are Evolving to Meet Customers’ Needs
Tuesday, June 18th at 2PM ET
2. Today’s Speakers:
Ben Abramovitz
SVP, Senior Industry Research Analyst
GE Capital
Rick Villars
Vice President, Datacenter & Cloud
IDC
Rethinking Your Technology Deployments
How Data Centers are Evolving to Meet Customers’ Needs
Tuesday, June 18th at 2PM ET
3. 3
Disclaimer: This webcast is for information purposes only and is not intended as an offer,
solicitation, or recommendation for the purchase or sale of a financial instrument or to
effect a transaction. The information contained within this webcast has been obtained
from and is based upon sources believed to be reliable. General Electric Capital Corporation
and any of its affiliates (collectively “GECC”) do not guarantee the accuracy or completeness
of the information and make no express or implied representations, but reasonable steps
have been taken to determine the accuracy and completeness of the information. All
opinions, projections and estimates constitute the judgment of the authors as of the date of
the webcast and are subject to change without notice. Market rates, valuations and
availability of financial instruments also are subject to change without notice. Nothing
contained within the materials constitutes financial, legal, tax, accounting or other advice,
nor should any investment or any other decisions be made solely based on this webcast.
You should obtain advice from qualified experts before making any investment decision.
This webcast is produced separately from any other activity of GECC and was completed
without access to non-public information that may have been received by other units of
GECC. This webcast may not be reproduced or redistributed in any form without prior
written permission from GECC. The use of this webcast in connection with the writing,
marketing or promotion of any financial instruments, services or products is prohibited.
3
Access GE
Data Centers webinar
4. 4
Agenda
Ben Abramovitz, GE Capital Analyst, SVP of Telecom & Media Research
Data center demand drivers….by the numbers
Evaluating the data center operating costs & targeted areas of change
Takeaways
Rick Villars, IDC Analyst – VP of Datacenter & Cloud Research
3rd platform & “The New IT”
The evolving datacenter landscape
Question & Answer
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Data Centers webinar
5. 5
Drivers of Change in the Data Center
“Big Picture” Drivers
Corporate IT needs and complexity are accelerating
• Need for real-time information and 24x7 IT availability
• Complexity of networks and technologies continue to rise
• Increasingly mobile workforce
• Increased regulatory and compliance requirements
• Rising Security Concerns
Trend toward outsourcing data center operations and “as a service”
Rapid growth in digital information traffic combined with declining cost of
transport & bandwidth
Budget constraints remain tight
• Outsourcing represents an attractive alternative to capital intensive
in-house solutions
Switching costs help sustain demand from existing customers
Supply-demand imbalance in many markets
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Data Centers webinar
6. 6
Public Cloud
Private Cloud
Hybrid Solution
Managed Services
Retail Colocation
Wholesale Colocation
As Compute Complexity Increases
Compute Complexity Combined with the Demands of Multiple Access Devices Add to
the Strain on IT Resources.
Cloud
Computing
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Data Centers webinar
7. 7
0
2,000
4,000
6,000
8,000
10,000
12,000
14,000
16,000
18,000
2011 2012 2013 2014 2015 2016
U.S.HostingInfrastrucutreServicesRevenue
($Millions)
Shared and virtual private server Complex managed Dedicated Colocation
Source: IDC, May 2012 1
Customers Need to Evaluate Data Center Hosting
Options
Dedicated, Internal, Private Clouds and Subsequently Hybrid Clouds Become
Precursors to Broad-based Public Cloud Adoption
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Data Centers webinar
8. 8
Software as a Service (SaaS) – model where applications are managed & hosted in
a data center, purchased on a subscription basis and accessed by Internet browser.
Platform as a Service (PaaS) – model of on-demand delivery of development tools
and services which allow the software applications to be coded and then deployed.
Infrastructure as a Service (IaaS) – on-demand delivery of virtualized servers,
storage, networking and operating systems.
and their “as a service” Options
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Data Centers webinar
9. 9
0
10,000
20,000
30,000
40,000
50,000
2011 2012 2013 2014 2015 2016
USCloudServicesRevenue($M)
SaaS PaaS IaaS
Source: IDC2
All Aspects of “_aaS” are Anticipated to Grow in the U.S.
SaaS is Forecasted to Grow Faster than the Overall Market for As-a-Service
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Data Centers webinar
10. 10
Changes Will Likely Drive Companies to
Re-Evaluate In-House Options
Pros of In-House may include:
• Certain of the amount of available capacity but must overbuild
• Better power efficiency (lower PUE) through customization
• Stronger security management
• Facilities control
But they may lose out in too many areas
Cons of In-House may Include
• Capital intensive when capital could be deployed elsewhere
• May choose to run lower tier DCs
• Connectivity and power may be limiting
• Distract from core operations
10
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Data Centers webinar
11. 11
0
100
200
300
400
500
600
700
800
2009 2010 2011 2012 2013 2014 2015 2016
Millionsquarefeet
Internal U.S. Data Centers (in millions of sq ft) Service Provider U.S. Datacenters (in millions of sq ft)
Source: IDC3
3rd Party Data Center Growth Outpaces Industry
Trends Favor 3rd Party Data Centers as Most Companies Attempt to Achieve Some
Scale and Flexibility
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Data Centers webinar
12. 12
0
10,000
20,000
30,000
40,000
50,000
2012 2013 2014 2015 2016 2017
PBspermonth
North American IP Traffic
Source: Cisco VNI, 2013
0
500,000
1,000,000
1,500,000
2,000,000
2,500,000
2012 2013 2014 2015 2016 2017
TBspermonth
North American Mobile Data Traffic
Source: Cisco Mobile VNI, 2013
As More Data is Generated
Mobile Data Traffic Growth is Most Significant Driver of Global IP Traffic Increases
Most Internet Traffic
Originates or Terminates in
a Data Center
12
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Data Centers webinar
13. 13
0.00
1.00
2.00
3.00
4.00
5.00
6.00
7.00
0
10
20
30
40
50
60
2003 2010 2015 2020
inmillions
WW Connected Devices Population Connected Devices / Person
Source: Cisco, 2011
15% CAGR '10-'20 in Number of
Connected Devices
…………from More Devices
A Large Portion of Connected Growth is Expected to be Derived from M2M as
the Age of the Industrial Internet Takes Hold
13
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Data Centers webinar
14. 14
70%
75%
80%
0
1,000
2,000
3,000
4,000
5,000
6,000
7,000
2011 2012 2013 2014 2015 2016
EBsperyear
WW Traditional data center traffic WW Cloud data center traffic
Traffic Within DC as % of Total Traffic
Source: Cisco Cloud Forecast, 2012
Data Centers Will Become Much Busier Places
Despite 31% CAGR of Total Data Center Traffic, Majority of Traffic Forecasted to
Remain WITHIN the Data Center, at ~75% vs. Traffic that gets transmitted to end
users or other data centers
14
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Data Centers webinar
15. 15
With Cloud Computing Driving the Majority of Growth
Public Clouds and Hybrid Clouds Will Add to the IT Complexity Landscape
0
500
1,000
1,500
2,000
2,500
3,000
3,500
4,000
4,500
2011 2012 2013 2014 2015 2016
EBsperyear
WW Traditional data center traffic WW Cloud data center traffic
North American Cloud data center traffic
Source: Cisco, 2012
15
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Data Centers webinar
16. 16
Source: GE Capital
$s
Time
Traditional IT TCO
Private Cloud TCO
Cost Savings of 30 to 40% Will Force Companies to Reconsider At Least Some Use of
Shared Third-Party Resources Over Time as Security Considerations Diminish
And the TCO Gap Will Likely Force Migration Over Time
16
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Data Centers webinar
17. 17
We Will Need to Process All the Data
0
10
20
30
40
50
60
2011 2012 2013 2014 2015 2016
inmillionsofworkloads
North America Cloud data center workloads
North America Traditional data center workloads
Source: Cisco Cloud Forecast, 2012
Traditionally, one server carried one workload,
but compute capacity & virtualization allow for
multiple workloads per physical server
0
5000
10000
15000
20000
25000
30000
35000
40000
2012 2020
Digital Universe in the U.S.
Source: EMC, IDC, GE Capital
inexabytes
Digital Universe defined as digital bits
created, replicated and consumed
each year
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Data Centers webinar
18. 18
……….Store the Data
Increasingly, data, both structured and unstructured will need to be stored for both
short term and long term analysis
0.0
5000.0
10000.0
15000.0
20000.0
25000.0
30000.0
35000.0
40000.0
45000.0
50000.0
2010 2011 2012 2013 2014 2015 2016
Disk-based long-term data preservation
Disk-based active archive
Worldwide Disk Storage Shipments for
Archive Capacity (in Petabytes)
Source: IDC
0.0
1000.0
2000.0
3000.0
4000.0
5000.0
6000.0
7000.0
8000.0
9000.0
2010 2011 2012 2013 2014 2015 2016
Archiving software and SaaS
Archival disk-based storage
Worldwide Archival Solution Spending
(millions US$)
Source: IDC
18
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Data Centers webinar
19. 19
0
1,000
2,000
3,000
4,000
5,000
6,000
2010 2011 2012 2013 2014 2015
WorldwideBigDataTechnology
Revenue($M)
Servers Storage
Source: IDC12
……….Analyze the Data
Big Data combines both structured and unstructured and may eventually become
table stakes for nearly all companies to compete effectively
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Data Centers webinar
20. 20
Forcing Us to Mitigate IT Spending Risk by Shifting from
Fixed to Variable Spending
* Internet-centric businesses with very consistent workloads have less variability in IT needs
Matching IT risks with company needs is no different than banks
matching the duration of their assets and liabilities.
For years, there has been a mismatch between short term
variable demand and longer term fixed investment and
implementation of technology assets, which companies have
been unable to close.
Building too far ahead of demand is not economical as
technology assets have non-linear useful life profiles.
…… But the __aaS models alter the equation,
primarily when outsourced*
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Data Centers webinar
21. 21
The Data Centers are Utilizing More Power
Rising Power Utilization also Raising Needs for Power Distribution, UPS & Cooling
0
10
20
30
40
50
60
2007 2011 2012 2013E
WW Datacenter Power Demand (in GWs)
Source: DatacenterDynamics, GE Capital
inGigawattts
~
Data centers currently use an estimated 2% of global electricity....with
forecasts predicting that 9-10% of global electrical grid production will
be used by DCs by 2020
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Data Centers webinar
22. 22
57%
8%
18%
13%
4%
Servers Networking Equipment Power Distribution & Cooling
Power Other Infrastructure
Source: perspectives.mvdirona.com
Based on 8MW facility, which can
support ~46k servers, 1.45 PUE, 3
year amortization on servers and
10 year amortization on
infrastructure
And Aside from Servers, Power Distribution is the
Largest Monthly Cost in the DC
Significant Effort is Underway to Improve Power Distribution and Server Useful Life So
the Math Will Alter Somewhat over Time
22
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Data Centers webinar
23. 23
Takeaways
• Demands on datacenter utilization continue to grow at a rapid clip with revenues
and data formation expected to increase at double digit CAGRs
• Continued virtualization of existing servers until the latter half of the decade
• Companies are evaluating multiple “_aaS” models to determine what best suits
their needs
• How IT thinks about compute is changing to better match the variability of
corporate needs with the expenses associated with traditionally fixed IT assets
• Increased use of hybrid cloud and public cloud solutions to improve mismatch of
needs with corporate assets
• Expect further infrastructure cost reduction efforts through increased use of solid
state drives, higher average DC temperatures, SDNs and other innovative
adjustments to the internal environment
23
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Data Centers webinar
24. The New IT and Datacenter Dynamic
Rick Villars
Vice President
Datacenter & Cloud
June 18, 2013
36. Variable Computing:
Living in an Instance Universe
Traditional Model
(Fixed Apps)
Continuous operation
Traditional DC workloads
New Model
(Variable Apps)
Intermittent operation
3rd Platform Workloads
36
42. Future of the Datacenter
DC placement decisions shaped by network and application
characteristics, not HQ location
• Growing importance of data factories based on hyperscale and
hyper-standardization
Hosted private cloud and public cloud is about maximizing
revenue from variable compute
• IT agility for variable loads will dominate the IT solutions agenda
Growing distinction between data owners and data custodians
• Cloud providers become the new leaders shaping storage and
network technology choices
42
43. Questions?
Ben Abramovitz
SVP, Senior Industry Research Analyst
GE Capital
ben.abramovitz@ge.com
If you would like to receive our GE Capital Telecom or
Media Quarterly, send your request to
ben.abramovitz@ge.com
Rick Villars
Vice President, Datacenter & Cloud
IDC
rvillars@idc.com
For information regarding the IDC presentation or
IDC reports, please contact Stephen Clifford at
sclifford@idc.com
Sources:
1 IDC, U.S. Hosting Infrastructure Services 2012 – 2016 Forecast #234555 May 2012
2 IDC, WW & Regional Public IT Cloud Services 2012–16 Forecast, #236552 Aug 2012
3 IDC, U .S. Da tacenter 2012 – 2016 Forecast #237070 September 2012
4 IDC Digital Universe Study, sponsored by EMC, December 2012
5 IDC WW Archival Storage Solutions 2012 – 2016 Forecast #235861, July 2012
6 IDC WW Archival Storage Solutions 2012 – 2016 Forecast #235861, July 2012
7 IDC, WW Big Data Technology & Services 2012-2016 Forecast, #238746, Dec 2012