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.
Powering the Internet of Things with Apache HadoopCloudera, Inc.
Without the right data management strategy, investments in Internet of Things (IoT) can yield limited results. Apache Hadoop has emerged as a key architectural component that can help make sense of IoT data, enabling never before seen data products and solutions.
All Together Now: Connected Analytics for the Internet of EverythingInside Analysis
The Briefing Room with Mark Madsen and Cisco
Live Webcast August 18, 2015
Watch the archive: https://bloorgroup.webex.com/bloorgroup/lsr.php?RCID=0eff120f8b2879b582b77f4ff207ee54
Today's digital enterprises are seeing an explosion of data at the edge. The Internet of Everything is fast approaching a critical mass that will demand a sea change in how companies process data. This new world of information is widely distributed, streaming, and overall becoming too big to move. Experts predict that within two to three years, the bulk of analytic processing will take place on the fringes of information architectures. As a result, forward-thinking companies are dramatically shifting their analytic strategies.
Register for this episode of The Briefing Room to hear veteran Analyst Mark Madsen of Third Nature explain how a new era of information architectures is now unfolding, paving the way to much more responsive and agile business models. He'll be briefed by Kim Macpherson of the Cisco Data and Analytics Business Unit, who will explain how her company's platform is uniquely suited for this new, federated analytic paradigm. She'll demonstrate how edge analytics can help companies address opportunities quickly and effectively.
Visit InsideAnalysis.com for more information.
The document discusses selecting an IoT platform. It notes that 2017 will see a shift towards IoT deployments and monetization. There were many IoT platform announcements in 2016 and acquisitions totaling over $100 billion. However, there are still too many platforms and the market is ready for consolidation. When selecting a platform, considerations include features, managing devices, connectivity, security, analytics and other capabilities. Using an IoT platform can accelerate innovation by focusing on differentiating aspects of solutions.
3 Things to Learn About:
*The IoT ecosystem and data management considerations for IoT
*Top IoT use cases and data architecture strategies for managing the sheer volume and variety of IoT data
*Real-life case studies on how our customers are using Cloudera Enterprise to drive insights and analytics from all of their IoT data
Big Data in IoT & Deep Learning
Challenges of IoT Big Data Analytics Applications
Challenges of Cloud-based IoT Platform
Cloud-based IoT Platform Use Case: GE Predix for Smart Building Energy Management
Fog/Edge Computing & Micro Data Centers
Deep Learning for IoT Big Data Analytics Introduction
Deep Learning for IoT Big Data Analytics Use Case
Distributed Deep Learning
Big Data + IoT + Cloud + Deep Learning Insights from Patents
Big Data + IoT + Cloud + Deep Learning Strategy Development
Designing Data-Intensive Applications
Xanadu Functionality
Xanadu Use Case
Xanadu + Deep Learning + Hadoop Integration
Cloudera - Enabling the IoT Revolution Driving Insights in a Connected Worldandreas kuncoro
The document discusses the growing Internet of Things (IoT) ecosystem and how Cloudera's analytics platform can help organizations extract value from IoT data. Some key points:
- The IoT market is expected to grow significantly over the next few years, with over 30 billion connected devices generating huge amounts of data.
- Most IoT data is unstructured, intermittent, and from diverse sources, making it challenging to analyze and derive insights from.
- Cloudera provides a next-gen analytics platform that can handle diverse IoT data at scale in real-time, and extract value by combining data from multiple sources.
- The document outlines several IoT use cases across industries like manufacturing,
How are new IoT devices being designed, built & integrated to big data platforms such as Hadoop. Ammeon design such systems to integrate with and provide critical support for new device creators to bring their products to market.
The document discusses the benefits of network automation for service providers. It notes that automation can deliver 30% higher revenue from faster time to value, 70% lower costs from operational efficiencies, and 40% better customer satisfaction from faster remediation. The need for automation is driven by rapid traffic growth, an explosion of devices and users, and increasing complexity. The document introduces Cisco's Crosswork automation solution, which uses tools like Cisco NSO, WAE, and Change Automation to provide closed-loop automation across various network operations disciplines for multi-vendor environments. Specific automation use cases discussed include intent-based networking, data centralization, improving quality of experience, accelerating issue identification and remediation times, and ongoing network
Powering the Internet of Things with Apache HadoopCloudera, Inc.
Without the right data management strategy, investments in Internet of Things (IoT) can yield limited results. Apache Hadoop has emerged as a key architectural component that can help make sense of IoT data, enabling never before seen data products and solutions.
All Together Now: Connected Analytics for the Internet of EverythingInside Analysis
The Briefing Room with Mark Madsen and Cisco
Live Webcast August 18, 2015
Watch the archive: https://bloorgroup.webex.com/bloorgroup/lsr.php?RCID=0eff120f8b2879b582b77f4ff207ee54
Today's digital enterprises are seeing an explosion of data at the edge. The Internet of Everything is fast approaching a critical mass that will demand a sea change in how companies process data. This new world of information is widely distributed, streaming, and overall becoming too big to move. Experts predict that within two to three years, the bulk of analytic processing will take place on the fringes of information architectures. As a result, forward-thinking companies are dramatically shifting their analytic strategies.
Register for this episode of The Briefing Room to hear veteran Analyst Mark Madsen of Third Nature explain how a new era of information architectures is now unfolding, paving the way to much more responsive and agile business models. He'll be briefed by Kim Macpherson of the Cisco Data and Analytics Business Unit, who will explain how her company's platform is uniquely suited for this new, federated analytic paradigm. She'll demonstrate how edge analytics can help companies address opportunities quickly and effectively.
Visit InsideAnalysis.com for more information.
The document discusses selecting an IoT platform. It notes that 2017 will see a shift towards IoT deployments and monetization. There were many IoT platform announcements in 2016 and acquisitions totaling over $100 billion. However, there are still too many platforms and the market is ready for consolidation. When selecting a platform, considerations include features, managing devices, connectivity, security, analytics and other capabilities. Using an IoT platform can accelerate innovation by focusing on differentiating aspects of solutions.
3 Things to Learn About:
*The IoT ecosystem and data management considerations for IoT
*Top IoT use cases and data architecture strategies for managing the sheer volume and variety of IoT data
*Real-life case studies on how our customers are using Cloudera Enterprise to drive insights and analytics from all of their IoT data
Big Data in IoT & Deep Learning
Challenges of IoT Big Data Analytics Applications
Challenges of Cloud-based IoT Platform
Cloud-based IoT Platform Use Case: GE Predix for Smart Building Energy Management
Fog/Edge Computing & Micro Data Centers
Deep Learning for IoT Big Data Analytics Introduction
Deep Learning for IoT Big Data Analytics Use Case
Distributed Deep Learning
Big Data + IoT + Cloud + Deep Learning Insights from Patents
Big Data + IoT + Cloud + Deep Learning Strategy Development
Designing Data-Intensive Applications
Xanadu Functionality
Xanadu Use Case
Xanadu + Deep Learning + Hadoop Integration
Cloudera - Enabling the IoT Revolution Driving Insights in a Connected Worldandreas kuncoro
The document discusses the growing Internet of Things (IoT) ecosystem and how Cloudera's analytics platform can help organizations extract value from IoT data. Some key points:
- The IoT market is expected to grow significantly over the next few years, with over 30 billion connected devices generating huge amounts of data.
- Most IoT data is unstructured, intermittent, and from diverse sources, making it challenging to analyze and derive insights from.
- Cloudera provides a next-gen analytics platform that can handle diverse IoT data at scale in real-time, and extract value by combining data from multiple sources.
- The document outlines several IoT use cases across industries like manufacturing,
How are new IoT devices being designed, built & integrated to big data platforms such as Hadoop. Ammeon design such systems to integrate with and provide critical support for new device creators to bring their products to market.
The document discusses the benefits of network automation for service providers. It notes that automation can deliver 30% higher revenue from faster time to value, 70% lower costs from operational efficiencies, and 40% better customer satisfaction from faster remediation. The need for automation is driven by rapid traffic growth, an explosion of devices and users, and increasing complexity. The document introduces Cisco's Crosswork automation solution, which uses tools like Cisco NSO, WAE, and Change Automation to provide closed-loop automation across various network operations disciplines for multi-vendor environments. Specific automation use cases discussed include intent-based networking, data centralization, improving quality of experience, accelerating issue identification and remediation times, and ongoing network
To unlock the value from your Industrial IoT initiative, it’s paramount that operational insights are instantly gained from machine generated data that let you make critical decisions in real-time to the advantage of your business. Learn from practical use cases how seamless communications between assets from any corner of the globe, the machinery that analyses the data and the systems and people at the very heart of your business are a key element of successful IoT platforms that scale from initial pilots to global rollouts.
Jump-Start the Enterprise Journey to the CloudLindaWatson19
In the pre-1880 era onsite power generation was the norm for factories. When the central power stations were built, these factories outsourced their power generation. Cloud infrastructure presents a similar opportunity for organizations wishing to outsource their IT infrastructure.
Watson IoT Platform Sizing & Pricing - Sept 2016Jason Lu
The document provides information about IBM's Watson IoT Platform, including its pricing and financing options. The platform allows connecting devices and sensors to collect and analyze IoT data. It offers a free tier for basic use as well as paid dedicated and local options that provide more connections and storage. Pricing is based on the amount of data processed and stored each month. Financing options are also available to spread payments for the Watson IoT solutions over time.
IoT and the Oil & Gas industry at M2M Oil & Gas 2014 in LondonEurotech
How the Internet of Things is catching up with the Oil & Gas industry.
How Eurotech's IoT architecture had its roots in the oil & gas industry, and why it is still relevant today.
This document discusses building scalable IoT applications using open source technologies. It begins by providing an overview of the growth of the IoT market and connected devices. It then discusses challenges with traditional "data lake" architectures for IoT data due to the high volume, velocity, and variety of IoT data. The document proposes an architecture combining stream processing for real-time data with analytics on both real-time and stored data. It discusses data access patterns and storage requirements for different types of IoT data. Finally, it provides an overview of open source technologies that can be used to build scalable IoT applications.
Powering the Intelligent Edge: HPE's Strategy and Direction for IoT & Big DataDataWorks Summit
Powering the Intelligent Edge is one of the three pillars of Hewlett Packard Enterprise's corporate strategy. The session will cover HPE’s strategic direction and approach in the areas of IoT and data analytics. Join the discussion and learn how HPE’s solutions can help businesses prepare for the big data era.
In 2016, cloud technologies went mainstream. But with maturity came the realization that moving to the cloud doesn’t happen overnight. CIOs are prioritizing hosted computing and cloud data storage. But they’re approaching the shift as a gradual, multi-year journey.
Many startups and small businesses will continue to go all-in on cloud. But enterprises will find success in a slow but steady move from on-prem. Hybrid ecosystems—of data, software, and infrastructure—will be the reality for most established organizations.
As this shift to cloud progresses where are things are headed? This paper highlights the top cloud trends for 2017.
As a result of the changing landscape to many industries, fraud is a growing problem – accelerating in both the number of incidences and in its complexity. In Canada, we estimate that the total impact of fraud is close to $2 billion – stemming from both losses and cost of operations. These challenges have opened the door for Symcor to offer industry-leading digital and data services to detect and prevent current and emerging fraud. Hortonworks worked with us to transform our service offerings with industry-leading solutions to drive digital and data services. One of our most significant features we developed in the delivery of digital and data services was how we have provided industry-leading data governance and security solutions to protect our clients’ data. To ensure we were doing the right things, Symcor’s Privacy and Data Governance team designed a comprehensive data governance policy to empower the ethical use of data for fraud detection and prevention. Hortonworks was able to provide us with a platform that allowed for the development of industry-leading solutions that allowed us to integrate our comprehensive data governance policies within these technology solutions.
Thanks to Hortonworks assistance, we were able to deliver the objectives listed above. This solution has helped Symcor enhance its business offerings from a leading business processing provider in Canada, to an industry-leading digital and data services provider. CHRIS WOJDAK, Sr. Program\Managing Architect Leader, Symcor Inc and MIKE MACDONALD
Independent of the source of data, the integration of event streams into an Enterprise Architecture gets more and more important in the world of sensors, social media streams and Internet of Things. Events have to be accepted quickly and reliably, they have to be distributed and analysed, often with many consumers or systems interested in all or part of the events. Dependent on the size and quantity of such events, this can quickly be in the range of Big Data. How can we efficiently collect and transmit these events? How can we make sure that we can always report over historical events? How can these new events be integrated into traditional infrastructure and application landscape?
Starting with a product and technology neutral reference architecture, we will then present different solutions using Open Source frameworks and the Oracle Stack both for on premises as well as the cloud.
Integrating AI into IoT networks is becoming a prerequisite for success in today’s data-driven digital ecosystems. The only way to keep up with IoT-generated data and gain the hidden insights it holds is using AI as the catalyst of IoT. Join this webinar to understand how IoT and AI may work together.
Without the right data management strategy, investments in Internet of Things (IoT) can yield limited results. Cloudera is pioneering next generation data management solutions, enabling organizations to build an enterprise data hub (EDH) as the backbone to any IoT initiative.
Innovation Without Compromise: The Challenges of Securing Big DataCloudera, Inc.
Hadoop is a powerful tool for today’s enterprise – providing unified storage of all data and metadata, regardless of format or source, and multiple frameworks for robust processing and analytics. However, this flexibility and scale also presents challenges for securing and governing this data.
Join IDC analysts, Carl Olofson and Mike Versace, as they discuss the changing world of big data security with Eddie Garcia, Information Security Architect at Cloudera, and Anil Earla, Chief Data and Analytics Officer of IS at Visa.
During this live roundtable discussion, you will:
Gain an understanding of how securing big data differs from traditional enterprise security
Learn about the latest tools and initiatives around Hadoop platform security
Hear how one of the largest payment processors approaches big data security and regulatory concerns
This document discusses IBM's Watson IoT platform and solutions. It notes that many clients are looking to engage with customers in new ways, connect devices rapidly and securely, optimize operations, and enable new business models using IoT. The IBM Watson IoT platform and solutions help clients streamline workflows in areas like facilities management, asset performance, connected products, work management, and health and safety. The document also summarizes key capabilities and offerings of the Watson IoT platform, including connectivity, information management, analytics, risk management, and partnerships. It provides examples of real-world results customers have achieved using IBM's IoT solutions.
Dell | Your Path – Our Platform & Great PartnershipsDataWorks Summit
This document summarizes Dell's involvement and partnerships in the Hadoop ecosystem. It discusses Dell's leadership in launching optimized Hadoop solutions since 2011 in partnership with Intel and other vendors. It highlights Dell's reference architectures for Hadoop distributions from Hortonworks and Cloudera that are tested and validated on Dell infrastructure. The document also describes Dell's QuickStart for Cloudera Hadoop and In-Memory Appliance for Cloudera Enterprise as easy starting points for Hadoop solutions. It notes that Dell Solution Centers provide workshops and proofs-of-concept to help design Hadoop architectures. Finally, it briefly outlines how Dell SecureWorks deployed Dell and Cloudera's Hadoop solution to securely collect, process and analyze massive amounts
Hyperconverged Systems for Digital TransformationHitachi Vantara
This document discusses hyperconverged systems and their role in digital transformation. It provides an overview of a presentation on this topic including:
- An industry analyst's perspective on how legacy IT transformation and digital transformation are reliant on scalability, security, and administrative simplicity. Technologies enabling this include hyperconverged infrastructure and centralized management.
- A customer's experience deploying a Hitachi hyperconverged solution at Conagra Brands to replace their aging VDI infrastructure and enable outsourcing, citing benefits of rapid deployment, capacity, and application performance.
- A new generation of Hitachi's Unified Compute Platform that provides flexible, simple and agile hyperconverged solutions for server workloads, virtual private
A Data Driven Roadmap to Enterprise AI Strategy (Sponsored by Contino) - AWS ...Amazon Web Services
AI is transforming every aspect of our daily lives and the data landscape is becoming increasing open and transparent, thanks to the Consumer Data Right, most notably Open Banking. Between the high level academia and low level algorithms, where should the modern business leader start on their AI journey and harness true value from their data? Let us show you a step by step, data-driven approach towards enterprise-wide AI adoption.
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.
In depth cases of mature companies using IoT to transform their operations. Includes John Deere, Boeing. Economic estimates of the benefits to companies are included.
To unlock the value from your Industrial IoT initiative, it’s paramount that operational insights are instantly gained from machine generated data that let you make critical decisions in real-time to the advantage of your business. Learn from practical use cases how seamless communications between assets from any corner of the globe, the machinery that analyses the data and the systems and people at the very heart of your business are a key element of successful IoT platforms that scale from initial pilots to global rollouts.
Jump-Start the Enterprise Journey to the CloudLindaWatson19
In the pre-1880 era onsite power generation was the norm for factories. When the central power stations were built, these factories outsourced their power generation. Cloud infrastructure presents a similar opportunity for organizations wishing to outsource their IT infrastructure.
Watson IoT Platform Sizing & Pricing - Sept 2016Jason Lu
The document provides information about IBM's Watson IoT Platform, including its pricing and financing options. The platform allows connecting devices and sensors to collect and analyze IoT data. It offers a free tier for basic use as well as paid dedicated and local options that provide more connections and storage. Pricing is based on the amount of data processed and stored each month. Financing options are also available to spread payments for the Watson IoT solutions over time.
IoT and the Oil & Gas industry at M2M Oil & Gas 2014 in LondonEurotech
How the Internet of Things is catching up with the Oil & Gas industry.
How Eurotech's IoT architecture had its roots in the oil & gas industry, and why it is still relevant today.
This document discusses building scalable IoT applications using open source technologies. It begins by providing an overview of the growth of the IoT market and connected devices. It then discusses challenges with traditional "data lake" architectures for IoT data due to the high volume, velocity, and variety of IoT data. The document proposes an architecture combining stream processing for real-time data with analytics on both real-time and stored data. It discusses data access patterns and storage requirements for different types of IoT data. Finally, it provides an overview of open source technologies that can be used to build scalable IoT applications.
Powering the Intelligent Edge: HPE's Strategy and Direction for IoT & Big DataDataWorks Summit
Powering the Intelligent Edge is one of the three pillars of Hewlett Packard Enterprise's corporate strategy. The session will cover HPE’s strategic direction and approach in the areas of IoT and data analytics. Join the discussion and learn how HPE’s solutions can help businesses prepare for the big data era.
In 2016, cloud technologies went mainstream. But with maturity came the realization that moving to the cloud doesn’t happen overnight. CIOs are prioritizing hosted computing and cloud data storage. But they’re approaching the shift as a gradual, multi-year journey.
Many startups and small businesses will continue to go all-in on cloud. But enterprises will find success in a slow but steady move from on-prem. Hybrid ecosystems—of data, software, and infrastructure—will be the reality for most established organizations.
As this shift to cloud progresses where are things are headed? This paper highlights the top cloud trends for 2017.
As a result of the changing landscape to many industries, fraud is a growing problem – accelerating in both the number of incidences and in its complexity. In Canada, we estimate that the total impact of fraud is close to $2 billion – stemming from both losses and cost of operations. These challenges have opened the door for Symcor to offer industry-leading digital and data services to detect and prevent current and emerging fraud. Hortonworks worked with us to transform our service offerings with industry-leading solutions to drive digital and data services. One of our most significant features we developed in the delivery of digital and data services was how we have provided industry-leading data governance and security solutions to protect our clients’ data. To ensure we were doing the right things, Symcor’s Privacy and Data Governance team designed a comprehensive data governance policy to empower the ethical use of data for fraud detection and prevention. Hortonworks was able to provide us with a platform that allowed for the development of industry-leading solutions that allowed us to integrate our comprehensive data governance policies within these technology solutions.
Thanks to Hortonworks assistance, we were able to deliver the objectives listed above. This solution has helped Symcor enhance its business offerings from a leading business processing provider in Canada, to an industry-leading digital and data services provider. CHRIS WOJDAK, Sr. Program\Managing Architect Leader, Symcor Inc and MIKE MACDONALD
Independent of the source of data, the integration of event streams into an Enterprise Architecture gets more and more important in the world of sensors, social media streams and Internet of Things. Events have to be accepted quickly and reliably, they have to be distributed and analysed, often with many consumers or systems interested in all or part of the events. Dependent on the size and quantity of such events, this can quickly be in the range of Big Data. How can we efficiently collect and transmit these events? How can we make sure that we can always report over historical events? How can these new events be integrated into traditional infrastructure and application landscape?
Starting with a product and technology neutral reference architecture, we will then present different solutions using Open Source frameworks and the Oracle Stack both for on premises as well as the cloud.
Integrating AI into IoT networks is becoming a prerequisite for success in today’s data-driven digital ecosystems. The only way to keep up with IoT-generated data and gain the hidden insights it holds is using AI as the catalyst of IoT. Join this webinar to understand how IoT and AI may work together.
Without the right data management strategy, investments in Internet of Things (IoT) can yield limited results. Cloudera is pioneering next generation data management solutions, enabling organizations to build an enterprise data hub (EDH) as the backbone to any IoT initiative.
Innovation Without Compromise: The Challenges of Securing Big DataCloudera, Inc.
Hadoop is a powerful tool for today’s enterprise – providing unified storage of all data and metadata, regardless of format or source, and multiple frameworks for robust processing and analytics. However, this flexibility and scale also presents challenges for securing and governing this data.
Join IDC analysts, Carl Olofson and Mike Versace, as they discuss the changing world of big data security with Eddie Garcia, Information Security Architect at Cloudera, and Anil Earla, Chief Data and Analytics Officer of IS at Visa.
During this live roundtable discussion, you will:
Gain an understanding of how securing big data differs from traditional enterprise security
Learn about the latest tools and initiatives around Hadoop platform security
Hear how one of the largest payment processors approaches big data security and regulatory concerns
This document discusses IBM's Watson IoT platform and solutions. It notes that many clients are looking to engage with customers in new ways, connect devices rapidly and securely, optimize operations, and enable new business models using IoT. The IBM Watson IoT platform and solutions help clients streamline workflows in areas like facilities management, asset performance, connected products, work management, and health and safety. The document also summarizes key capabilities and offerings of the Watson IoT platform, including connectivity, information management, analytics, risk management, and partnerships. It provides examples of real-world results customers have achieved using IBM's IoT solutions.
Dell | Your Path – Our Platform & Great PartnershipsDataWorks Summit
This document summarizes Dell's involvement and partnerships in the Hadoop ecosystem. It discusses Dell's leadership in launching optimized Hadoop solutions since 2011 in partnership with Intel and other vendors. It highlights Dell's reference architectures for Hadoop distributions from Hortonworks and Cloudera that are tested and validated on Dell infrastructure. The document also describes Dell's QuickStart for Cloudera Hadoop and In-Memory Appliance for Cloudera Enterprise as easy starting points for Hadoop solutions. It notes that Dell Solution Centers provide workshops and proofs-of-concept to help design Hadoop architectures. Finally, it briefly outlines how Dell SecureWorks deployed Dell and Cloudera's Hadoop solution to securely collect, process and analyze massive amounts
Hyperconverged Systems for Digital TransformationHitachi Vantara
This document discusses hyperconverged systems and their role in digital transformation. It provides an overview of a presentation on this topic including:
- An industry analyst's perspective on how legacy IT transformation and digital transformation are reliant on scalability, security, and administrative simplicity. Technologies enabling this include hyperconverged infrastructure and centralized management.
- A customer's experience deploying a Hitachi hyperconverged solution at Conagra Brands to replace their aging VDI infrastructure and enable outsourcing, citing benefits of rapid deployment, capacity, and application performance.
- A new generation of Hitachi's Unified Compute Platform that provides flexible, simple and agile hyperconverged solutions for server workloads, virtual private
A Data Driven Roadmap to Enterprise AI Strategy (Sponsored by Contino) - AWS ...Amazon Web Services
AI is transforming every aspect of our daily lives and the data landscape is becoming increasing open and transparent, thanks to the Consumer Data Right, most notably Open Banking. Between the high level academia and low level algorithms, where should the modern business leader start on their AI journey and harness true value from their data? Let us show you a step by step, data-driven approach towards enterprise-wide AI adoption.
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.
In depth cases of mature companies using IoT to transform their operations. Includes John Deere, Boeing. Economic estimates of the benefits to companies are included.
Cisco Connect 2018 Thailand - Secure, intelligent platform for the digital bu...NetworkCollaborators
This document discusses digital transformation and the secure, intelligent platform needed to enable it. It notes that digital transformation involves adopting new technologies and business models to increase agility, productivity and customer experiences while reducing costs. The platform should amass and unlock big data, embrace multi-cloud environments, reinvent the network, and leverage machine learning/AI to drive business insights. Cisco's strategies for its Spark, DNA Center and other platforms aim to provide such a secure, intelligent platform for digital business.
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
Driving Innovation: A Path to Digitization, Speed and Visibility in an Applic...Cisco Canada
The document discusses Cisco's vision for digitization, speed, and visibility in an application-centric world. It summarizes how applications are changing with big data, distributed apps, mobile, and cloud computing. It then outlines Cisco's hybrid cloud architecture and software-defined infrastructure solutions like ACI and UCS to provide policy-driven automation, security, and visibility across physical, virtual, and multi-cloud environments. The solutions aim to enhance IT agility while reducing costs and complexity.
IoT: Understanding its potential and what makes it tick! by Mark TorrBosnia Agile
This presentation will discuss why IoT has the potential to revolutionize many aspects of our lives by explaining what enables it today and the promise holds for our future. In addition the presentation will dive into the components you need in a IoT solution using Microsoft Azure services to demonstrate them in action as we build a live IoT application on stage!
The document discusses strategies for technology transition in light of the growth of the Internet of Things (IoT) marketplace. Some key points:
- The IoT marketplace is expected to grow exponentially from $130B in 2015 to $883B by 2022.
- IoT connects everything and everyone through millions of connected things, transactions, networks, and customers.
- Traditional networking needs to be replaced with autonomous, software-defined networks enabled for IoT and cloud services to increase efficiency and lower risks.
- Faster speeds, agile development, and regulatory changes are needed to support on-demand services through cloud deployments.
This document discusses digital transformation and how companies can reimagine customer value in a digital world. It outlines how digital disruption will reshape markets in 3 years or less, displacing 40% of incumbents. It advocates adopting a platform approach and developing powerful ecosystems across industries. It also describes Cisco's operating model transformation to deliver IT services using a hybrid cloud approach with everything as a service. This simplifies operations and delivers data-driven insights for continuous innovation.
Companies have access to all kinds of data (internal and external), and realize its importance. The challenge is how to gain the precise insights and intelligence you need in real-time. Learn more: https://accntu.re/2KzKpTp
Legacy monitoring and troubleshooting tools can limit visibility and control over your infrastructure and applications. Organizations must find monitoring and troubleshooting tools that can scale with the volume, variety and velocity of data generated by today’s complex applications in order to keep pace with business demands. Our upcoming webinar will discuss how Sumo Logic helped Scripps Networks harness cloud-native machine data analytics to improve application quality and reliability on AWS. Sumo Logic allows IT operations teams to visualize and monitor workloads in real-time, identify issues and expedite root-cause analysis across the AWS environment.
Join us to learn:
• How to migrate from traditional on-premises data centers to AWS with confidence
• How to improve the monitoring and troubleshooting of modern applications
• How Scripps Networks, a leading content developer, used Sumo Logic to optimize their transition to AWS
Who should attend: Developers, DevOps Director/Manager, IT Operations Director/Manager, Director of Cloud/Infrastructure, VP of Engineering
Customer Presentation - IBM Cloud Pak for Data Overview (Level 100).PPTXtsigitnist02
This document provides instructions for using a presentation deck on Cloud Pak for Data. It instructs the user to:
1. Delete the first slide before using the deck.
2. Customize the presentation for the intended audience as the deck covers various topics and using all slides may not fit a single meeting.
3. The deck contains 6 embedded video records for a demo that takes 15-25 minutes to present. Guidance on pitching the demo is available.
The appendix contains slides on Cloud Pak for Data licensing and IBM's overall strategy.
2 pc enterprise summit cronin newfinal aug 18IntelAPAC
Intel discusses how the evolution of IoT and big data is driving business transformation. Intel provides leading technology from devices to the cloud to deliver end-to-end IoT and big data solutions. Intel is uniquely positioned through its technology, partnerships, and ecosystem to integrate physical systems with data and analytics from the edge to the cloud.
A Study on the Application of Web-Scale IT in Enterprises in IoT EraHassan Keshavarz
The concept of Web-Scale IT has become a pattern of global class computing that delivers the capabilities of large cloude sevice provider in the enterprise IT industry and business sector. Based on the Gartner report, WebScale IT is one of the technology trends probably to have a significant effect on companies over the next three years, by 2017. Web-Scale IT is clearly defined as the all things accouring in large scale could service firms such as Google, Amazon, Netfilx, Facebook and so on, that enables them to get high levels of agility and scalability by using new processes and architecures according to the report. This paper scrutinizes how technology can change the business style for IoT using in the future. It is expected that using of Web-Scale IT is critical in this turning point of changing the business method so as to IoT using in the future. For achieve tha aim, the first step toward the WebScale IT for many organization should be bringing Developing and Operations together. This is the movment known as “DevOps”.
1) The document discusses digital transformation and AI at the edge for industrial applications. It describes challenges like processing vast amounts of distributed data in real-time while ensuring security and reliability with limited resources.
2) Edge computing is important for industrial IoT as it allows data processing and AI inferencing close to where data is generated, improving latency, security, and scalability. The document outlines several open source edge computing projects and technologies being developed.
3) Achieving digital transformation requires bridging gaps between IT and operational systems through approaches like collecting telemetry data, predictive maintenance, and building a data-informed culture across the organization. Standards like OPC UA are also important for interoperability.
Global Data Management – a practical framework to rethinking enterprise, oper...DataWorks Summit
Global data management is not a newly coined term. However, what it stands for is actually widening in scope particularly around data-in-motion and data-at-rest. Significant technology trends such as IoT, cloud, AI/ML, blockchain, and streaming data have given rise to excessive data volumes and also innovative use cases. The scope for global data management now extends all the way from ingestion, processing, storage, governance, security to analysis. With a good number of endpoints served through the cloud and major application footprints remaining on-premisess, it is pertinent to have a global data management strategy that supports hybrid models and more specifically, a multi-cloud model.
Many modern businesses struggle to balance the demands of rapidly innovating through new technologies like machine learning with the need to keep data safe and secure, all while responding to a constantly changing regulatory landscape. This puts data stewards, data engineers, architects, data scientists, and analysts under intense pressure as they must contend with existing and new applications, multiple logical and physical data stores and sources, diverse data types, and data spread across several deployment environments.
Attend this session led by Matt Aslett, Research Director at 451 Research and Dinesh Chandrasekhar, Director, Hortonworks to learn more about creating a framework for your enterprise that offers guidance on how to think about global data management—priorities, responsibilities, key stakeholders, compliance, and growth.
Speakers
Dinesh Chandrasekhar, Hortonworks, Director Product Marketing
Matt Aslett, 451 Research, Research Director, Data platforms and Analytics
PwC hosted an AWS Summit in Mumbai to discuss how businesses can build and innovate using cloud technologies. The document discusses how today's businesses are driven more by needs rather than IT, with 50% emphasizing the need for new IT platforms and 70% having strong CIO-CxO relationships. It also summarizes PwC's cloud services for industries like manufacturing, financial services, government, telecom, gaming and GST. Case studies on migrating SAP to AWS for Macmillan Publishers India and building a real-time analytics platform for a gaming company are also provided. The presentation emphasizes how cloud can help businesses operate with agility, scalability and cost flexibility.
In 2012, The Economist claimed we were entering the third industrial revolution based on the digitization of manufacturing, also referred to as the “smart factory.” The development and adoption of the Internet of Things is a critical element of smart manufacturing as reduced sensor device cost, and increased connectivity and in-memory processing give manufacturers the ability to gather and use data to increase product quality and transform operations. IT organizations are increasingly involved with the management, security and governance of this data as equipment and products are connected to the internet. This session will provide a practical framework for evaluating ways to improve sensor enablement, transaction processes and analytics based on real-world customer examples.
Cisco connect winnipeg 2018 introducing the 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 automation, analytics, identity services and policy-based networking capabilities. The session introduces DNA Center and its ability to automate network operations through the use of templates, profiles and workflows. Examples of automation use cases included deploying standard network settings, custom configurations, wireless deployments, application policies and software lifecycle management.
The document discusses accelerating cloud services. It notes that today's challenges for IT include rapid service delivery through cloud and devices. Big data, cloud computing, and high-performance computing are clear trends shaping enterprises. The cloud provides opportunities to extract value from data but also poses big challenges. The journey to cloud is inevitable as it addresses pressures on IT organizations from business leaders. The document advocates re-architecting the datacenter with cloud and software-defined infrastructure to provide agility, optimize resources, and enable new applications and services. It highlights Intel's ongoing investments in datacenter technologies and custom processors for AWS, and provides case studies of how Intel and AWS help customers leverage the power of cloud.
This document discusses Microsoft's cloud computing services and vision. It provides examples of Microsoft's existing consumer and enterprise cloud services. It then outlines Microsoft's commercial cloud services portfolio including applications, platforms, storage, and management capabilities. Finally, it highlights specific cloud-based productivity and CRM solutions from Microsoft and their benefits like accessibility, low costs, and managed reliability.
Similar to CL2015 - Datacenter and Cloud Strategy and Planning (20)
E-Invoicing Implementation: A Step-by-Step Guide for Saudi Arabian CompaniesQuickdice ERP
Explore the seamless transition to e-invoicing with this comprehensive guide tailored for Saudi Arabian businesses. Navigate the process effortlessly with step-by-step instructions designed to streamline implementation and enhance efficiency.
Atelier - Innover avec l’IA Générative et les graphes de connaissancesNeo4j
Atelier - Innover avec l’IA Générative et les graphes de connaissances
Allez au-delà du battage médiatique autour de l’IA et découvrez des techniques pratiques pour utiliser l’IA de manière responsable à travers les données de votre organisation. Explorez comment utiliser les graphes de connaissances pour augmenter la précision, la transparence et la capacité d’explication dans les systèmes d’IA générative. Vous partirez avec une expérience pratique combinant les relations entre les données et les LLM pour apporter du contexte spécifique à votre domaine et améliorer votre raisonnement.
Amenez votre ordinateur portable et nous vous guiderons sur la mise en place de votre propre pile d’IA générative, en vous fournissant des exemples pratiques et codés pour démarrer en quelques minutes.
Software Engineering, Software Consulting, Tech Lead, Spring Boot, Spring Cloud, Spring Core, Spring JDBC, Spring Transaction, Spring MVC, OpenShift Cloud Platform, Kafka, REST, SOAP, LLD & HLD.
UI5con 2024 - Boost Your Development Experience with UI5 Tooling ExtensionsPeter Muessig
The UI5 tooling is the development and build tooling of UI5. It is built in a modular and extensible way so that it can be easily extended by your needs. This session will showcase various tooling extensions which can boost your development experience by far so that you can really work offline, transpile your code in your project to use even newer versions of EcmaScript (than 2022 which is supported right now by the UI5 tooling), consume any npm package of your choice in your project, using different kind of proxies, and even stitching UI5 projects during development together to mimic your target environment.
Hand Rolled Applicative User ValidationCode KataPhilip Schwarz
Could you use a simple piece of Scala validation code (granted, a very simplistic one too!) that you can rewrite, now and again, to refresh your basic understanding of Applicative operators <*>, <*, *>?
The goal is not to write perfect code showcasing validation, but rather, to provide a small, rough-and ready exercise to reinforce your muscle-memory.
Despite its grandiose-sounding title, this deck consists of just three slides showing the Scala 3 code to be rewritten whenever the details of the operators begin to fade away.
The code is my rough and ready translation of a Haskell user-validation program found in a book called Finding Success (and Failure) in Haskell - Fall in love with applicative functors.
Measures in SQL (SIGMOD 2024, Santiago, Chile)Julian Hyde
SQL has attained widespread adoption, but Business Intelligence tools still use their own higher level languages based upon a multidimensional paradigm. Composable calculations are what is missing from SQL, and we propose a new kind of column, called a measure, that attaches a calculation to a table. Like regular tables, tables with measures are composable and closed when used in queries.
SQL-with-measures has the power, conciseness and reusability of multidimensional languages but retains SQL semantics. Measure invocations can be expanded in place to simple, clear SQL.
To define the evaluation semantics for measures, we introduce context-sensitive expressions (a way to evaluate multidimensional expressions that is consistent with existing SQL semantics), a concept called evaluation context, and several operations for setting and modifying the evaluation context.
A talk at SIGMOD, June 9–15, 2024, Santiago, Chile
Authors: Julian Hyde (Google) and John Fremlin (Google)
https://doi.org/10.1145/3626246.3653374
SMS API Integration in Saudi Arabia| Best SMS API ServiceYara Milbes
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SOCRadar's Aviation Industry Q1 Incident Report is out now!
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SOCRadar’s Aviation Industry, Quarterly Incident Report, provides an in-depth analysis of these threats, detected and examined through our extensive monitoring of hacker forums, Telegram channels, and dark web platforms.
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We will focus in particular on tuning your engine at the application level, making the right adjustments to ensure that your system responds like a well-oiled, high-performance race car.
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Design — in this phase, they start designing the software.
Coding — when designing is completed, the developers start coding for the software.
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Installation — after completion of testing, the application opens to the live server and launches!
Maintenance — after completing the software development, customers start using the software.
Empowering Growth with Best Software Development Company in Noida - Deuglo
CL2015 - Datacenter and Cloud Strategy and Planning
1. Data Center and Cloud:
Strategy and Planning – The
Next 5 Years
Efficiency. Speed. Disruption
Shashi MarketingCloudandDCHead,-VPKiran,
skiran@cisco.com
PSODCT-2088
,
2. • Introduction
• Digital Business Trends and Outcomes
• Data Center and Cloud Transformation
• Cisco Approach and Differentiation
• Planning Ahead
• Q&A
Agenda
3. Mobile
Technologies for
Customer
Engagement
81% 80%
Data Mining
and
Analysis
78%
Cyber
Security
65% 60%
Cloud
Computing
Internet of
Things
75% of Businesses To be Digital in 5 years1
How Companies View Digitization
Mobile
Technologies for
Customer
Engagement
81% 80%
Data Mining
and
Analysis
78%
Cyber
Security
65% 60%
Cloud
Computing
Internet of
Things
HBR
New PwC
Survey: CEOs
Embrace Digital
Transformation2
How
Companies
Can Avoid
The Pains Of
Digital
Disruption
Technology Brings Opportunities. Causes Disruptions
1.Gartner 2. PWC survey
Digitization Drives Radical Changes to Data and Applications
1. Gartner
4. Source: IDC 4
30M
New devices
connected
every week
78%
Workloads
processed
In Cloud DCs
by 2018
5TB+
of data per person
by 2020
180B
Mobile apps
downloaded
In 2015
277X
Data created
by IoE devices
v. end-user
Data Center and Cloud Strategy
Critical to IT Transformation
5. Top Customer Challenges and IT Initiatives
60% of data stolen
within first few hours
of attack
Increased Security
Threats
2X Data growth /18
mos., Application
growth / 2 years
Data and
Application
Explosion!
10101
Less than 1% have
an Optimized Cloud
Strategy
Promise of Cloud
Opportunities
Disruptive
Business Models
Mobile SocialCloud
“Shadow IT”
DevOps
Cloud-Scale
Flat Budgets
Manage IT
Change
Mobile SocialCloud
“Bi-Modal IT”
Securing Distributed
Data and
Applications
Security and
Compliance
Pervasive Security
Big Data
IoT/IoE
Organize and
Analyze Data
10101
Data InsightsHybrid Clouds
IT-as-a-Service
Optimize Cloud
Strategy
7. SaaS
PaaS IaaS
…to Balance New and Existing Requirements
Traditional
Applications
ERP, Financial, Client/Server,
CRM, email, …
Cloud Native
Applications
IoT, BigData,Analytics,
Gaming, ...
Data Center Cloud Edge / IoT
8. We Are at the Cusp of a Major Shift
DIGITAL EXPERIENCESEFFICIENCY SIMPLICITY | SPEED
Adoption
Curve
IT as a Service
IaaS | PaaS | SaaS | XaaS
Flexible Consumption Models
CONSOLIDATION
VIRTUALIZATION
HYBRID
CLOUDS
2000 2010 2015 The Next 5+ Years
POLICY DRIVEN
AUTOMATION
TRADITIONAL DATA CENTER
We are here
CLOUD DATA CENTER
11. Don’t Get Left Behind!
SPEEDEFFICIENCY DISRUPTION
ITCost
Reduction
Time to
Provision IT
Services
Ability to
Meet SLAs
Strategic
Allocation of
ITBudget
Revenue
Growth
12. Data Center and Cloud Transformation
Minimum IT Capabilities
DISRUPTIONSPEEDEFFICIENCY
Flexible Consumption Models
Automation
Edge / IoT Applications
13. Minimum Capabilities are not enough!
Only Cisco Enables Your Digital Transformation Journey
DISRUPTIONSPEEDEFFICIENCY
Flexible Consumption Models
Automation
Edge / IoT Applications
Policy Driven Infrastructure
Any Application / Any Cloud / Any Consumption
with Security and Data Sovereignty
Edge / IoT Applications
and Real Time Analytics
14. SaaS
PaaS IaaS
Best Data Center and Cloud Portfolio in Industry
Built on Secure and Open Architectures
Cloud Offers
Public
Clouds
Intercloud
Providers
INTERCLOUD
Intercloud
Services
Enterprise
Cloud
Cisco
OpenStack
Private Cloud
Cisco
Marketplace
Privateand
Hybrid Cloud
Software
Cisco ONE
Enterprise
Cloud Suite
Policy-Driven
Infrastructure
Cisco
UCS
Cisco
Nexus
Cisco ACI
Data Center
Automation
Software
Cisco ONE
Foundation
for Compute
Data Center Cloud Edge / IoT
Big Data
Analytics
Cisco Connected
Analytics
16. Pervasive Security
A T T A C K C O N T I N U U M
DURING
Detect
Block
Defend
AFTER
Scope
Contain
Remediate
BEFORE
Discover
Enforce
Harden
AFTER
Scope
Contain
Remediate
Detect
Block
Defend
DURING
Network CloudMobile VirtualEndpointPoint in Time Continuous
Perimeter
Security
VM Security
Secure
Cloud Access
Application
Security
17. Delivering Business Outcomes today!
SPEEDEFFICIENCY DISRUPTION
Grew capacity by
“over 5x for the same
AWS cost”
“Increased efficiency of
hardware utilization by
over 60%”
“We saved 6 months
versus DIY OpenStack”
“We’ve literally gone from
days to add new devices
and capacity to the
environment to hours.”
This food producer now
collects and analyzes real-
time data coming in from
thousands of point-of-sale
terminals at grocery stores.
18. Data Center as a Change Agent
Accelerate Your Digital Transformation
DISRUPTIONSPEEDEFFICIENCY
Data & Analytics
from Cloud to Edge
Application-Aware - Programmability, Automation and Policy
Secure, Integrated Infrastructure
21. Policy—Beyond Automation
An Innovative Differentiator for Digitized Services
Policy Portability Expands Possibilities to
Create New Business Models
Provisioning
Faster Workflow
Lifecycle Acceleration
Deploy applications from
different business units
on separate dev and
production networks
Specify firewall and
encryption rules for
HIPAA compliant
workloads ensures
patient privacy
Burst into a public
cloud to augment
capacity
Deliver Promotions to
Opt-In Customer to
drive a better retail
experience
Data Center
Automation
Private
Cloud
Security
Operator
Cloud
Bursting
Retail
Experience
22. ACI—Symantec Delivering on Its Strategic Vision
With Next-Generation, Secure Data Center Powered by Cisco ACI
5-Year Cumulative Benefits:
• $145M in business benefits
• ROI of 441%
• Payback in 11 months
Other Benefits:
• 87% faster application dev. cycle
• 83% more efficient network ops
• 40x Improvement in Bandwidth
EXPERTROI® SPOTLIGHT
May 2015
24. Policy—Beyond Automation
An Innovative Differentiator for Digitized Services
Policy Portability Expands Possibilities to
Create New Business Models
Provisioning
Faster Workflow
Lifecycle Acceleration
Deploy applications from
different business units
on separate dev and
production networks
Specify firewall and
encryption rules for
HIPAA compliant
workloads ensures
patient privacy
Burst into a public
cloud to augment
capacity
Deliver Promotions to
Opt-In Customer to
drive a better retail
experience
Data Center
Automation
Private
Cloud
Security
Operator
Cloud
Bursting
Retail
Experience
25. Build Your Own
As a service
On-Prem or Intercloud
Cloud ManagedIT Operated
Cisco Offers—Beyond Flexible Consumption
Any Consumption Model!
Ownership
Management
Location
Customer
Intercloud
Customer
On-Prem
Cisco / Partner
Cisco + Partner
Cisco / Partner
Cisco / Partner
Build Buy
Cisco Data Center,
Private/Hybrid Cloud
Infrastructure
Cisco OpenStack
Private Cloud
Cisco and Intercloud
Partners Cloud Services
26. Cisco ONE Enterprise Cloud Suite
Comprehensive
Automation Across
Infrastructure
Self-Service User
Experience
Hybrid-Ready
Private Cloud
Accelerate
Application
Development &
Deployment
UCS Director
Prime Service Catalog Intercloud Fabric for
Business,
OpenStack Support
Stack Designer,
Virtual Application
Container Services
Modular Cloud Software Suite available via Cisco ONE flexible licensing models
27. Advanced Operational Support
Networking
Hardware
In your data center, on your hardware, delivered as a service
Cisco OpenStack Private Cloud
OpenStack and AWS APIs
OpenStack Unified CLI
HA Service Orchestration
Cisco OpenStack® Private Cloud Platform
24x7 Cloud Operations and Supports
Infrastructure Capacity Planning
Monitoring and Error Detection
StorageCompute IdentityNetworking
Enhanced
Dashboard
SLA Guarantees
Platform and Security Updates
Cloud Design and Deployment
28. Coming Soon!
A global storefront for applications that enable IoE
CISCO INTERCLOUD
MARKETPLACE
Cloud Services
SaaS PaaS IaaS
YourOrganization
Millions of Developers
Billions of Devices
30. Widely Distributed, Streaming, Short Shelf Life, Too Big to Move
“Most data will be
processed at the edge”
(mobile devices, appliances, routers)
Digital Enterprises - Explosion of Data at the Edge
Three years from now, where will most data
generated by IoT solutions be processed?
1230 respondentsSource: Cisco Consulting Services Global IoT Study, 2014
37%
31. Cisco Connected Analytics—Beyond Traditional
Analytics - Any Analytics!
Structured Data Unstructured Data Data Streaming at the Edge
Traditional Data
Warehouse
Big Data Store
Analytics 1.0 Analytics 2.0
Hours/Minutes/SecondsDays/Hours
Analytics 3.0
Seconds/Milliseconds
32. RJM
Featured Search ServicesAmenitiesMap
HOT DEAL!!!
Buy One Men’s T-
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• Opt-In Policy
• Secure Payment
System Integration
• Personalization preferences
• Real-Time
Analytics
• Store Data Backup
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LowestPrice.net
Logan Wool
Sweater
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Compare Prices Instantly!
RJM Price Match
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RJM
Featured Search ServicesAmenitiesMap
Thank you for
your purchase.
Your receipt is
saved to your
wallet.
View Receipt
See promotional
information from
our mall partners
x
DATA CENTER/CLOUD
•
Location-Based
App Engagement –
Personalized
Promotions
Enhancing the Retail Experience
Experience with Personalized Wi-Fi Services and Centralized Policy
34. Cisco Enterprise and Private Cloud Solutions
Ecosystem Solutions
Nexus Switching
Physical and Virtual
Switches for LAN/SAN
Nexus 1000V – Nexus 9000
on NX-OS
MDS Solutions
Storage Networking on NX-OS
MDS 9200 – MDS 9700
UCS and UCS Manager
Compute, Network and
Storage Access
B-Series, M-Series,
UCS Mini
UCS Integrated
Infrastructure
Private Cloud Building Blocks
UCS, Nexus
Cisco Security Solutions
Physical /Virtual ASA with
FirePOWER
Data Center and Cloud Portfolio SOLUTIONS SOFTWARE INFRASTRUCTURE
Cloud & Systems
Management
Eg. Application Policy
Infrastructure Controller (APIC)
for ACI
Infrastructure Management
Eg. UCS Director - Policy
Based Orchestration for
Integrated Infrastructure
Cisco Big Data and
Analytics
Data Virtualization
Connected Analytics
UCS and ACI
Cisco Intercloud Fabric
Networking Software for Hybrid
Clouds
Cisco ONE
Enterprise Cloud
Suite
Private Cloud Solutions
35. Market Traction – Innovation Leadership
Cisco Nexus
Cisco UCS Director (Orchestrates Compute, Network, Storage And L4-7), OpenStack
Cisco ONE software Licensing and Subscription
LAN Switching SAN Blade Server
Application
Centric SDN
Hybrid Cloud
Infrastructure SecurityFeature-Rich OS
Integrated
Infrastructure
Cisco MDS Cisco UCS Cisco ACI
Cisco Intercloud Cisco NX-OS Cisco UCS, Nexus Cisco Security
#1 #1 #2 #1
#1 #1 #1
OS
36. Benefit – Lower TCO and Better Solutions
50% lower cost
storage per desktop
16x less power
consumed per
desktop
100+ world record
performance
benchmarks on
Cisco UCS
61% reduction in
management costs
30% less
infrastructure costs
for SAP HANA
20% fewer
components for
disaster tolerance
66% reduction in
power and cooling
30% improvement
in IT staff
productivity
50% world records
– more than all
other server
vendors combined
1,000,000
paychecks in 1 hour
DESKTOP
VIRTUALIZATION
BIG DATA
AND ANALYTICS
MISSION CRITICAL
BUSINESS
APPLICATIONS
PRIVATE
CLOUD
SOLUTIONS
DATA BASE
ACCELERATION
Architectural Fidelity Lower TCO Time to Revenue
65,000+
NX-OS customers
41,000+
UCS customers
585+
ACI customers
85%+
Fortune 500
100+
Ecosystem Partners
37. Strategy In Action
4
Choose Any
Other Cloud
Managed
Public
Private
Private Cloud
Stack
Integrated Infrastructure
3
Build Your
Private Cloud
8 Network Compute Storage
Deploy Edge with consistent
policy and management as DC 9 Analytics
Integrate Analytics Across
Data Center and Edge
10
SECURITY
1
Modernize Infrastructure:
Open and Programmable
Network
Compute
Storage
L4-7 / Security
DATA CENTER
POLICY
Automate and
Simplify
2
Move Data and
Workloads Securely.
5
Self-Service Portal
(IT as a Service)
6
Extend Policy Model
7
38. 4
Choose Any
Other Cloud
Managed
Public
Private
Cloud
Software Stack
Integrated Infrastructure
3
Build Your
Private Cloud
Cisco Portfolio in Action
7 Network Compute Storage
Deploy Edge with consistent
policy and management as DC
9 Analytics
Distributed Analytics Across
Data Center and Edge
10
SECURITY
1
Open and Programmable
Infrastructure
Network
Compute
Storage
L4-7 / Security
DATA CENTER
POLICY
21
Nexus / MDS
UCS
3rd Party Storage
ASA / FirePOWER
2
UCS Director
ACI (APIC)
UCSM
Automate and
Simplify
Cisco
ONE Enterprise
Cloud / OpenStack
UCS Integrated
Infrastructure
3
8 UCS Mini + 3rd party storage
Data Virtualization
Analytics Platform + Solutions
9
CISCO SECURITY SOLUTIONS (Network + AMP + E-mail + Web )
10
4
Move Data and
Workloads Securely
5
Move Services Across
Catalogs
6
Extend Policy Model
Cisco Intercloud
Fabric
5
Cisco Prime
Service Catalog
6
ACI Policy Model
Intercloud
77
39. Next 5 Years - Manage Change At Your Pace
Next 5
Years
1990s
More Time
Innovating
Less Time
Operating
More Time
Innovating
New Service
Models for
Digital
Business
Outcomes
Less Time
Operating
Simplify and Automate:
Go Bi-Modal
Policy-driven Infra.
UCS-B, Nexus 10G->40G,
ACI, DevOps tools
Harness Big Data
UCS C-240, ACI
Analytics
Optimize Cloud Infrastructure
Cisco ONE Enterprise
Private Cloud, Openstack Private Cloud,
Intercloud, ICF, ACI, UCS Integrated Infra.
Containers, IaaS, PaaS, SaaS
Harden Security
Policy, Micro-segmentation
Digital Threats
Manage Talent and
Upgrade Skillset
DevOps, SDx, Policy
40. Participate in the “My Favorite Speaker” Contest
• Promote your favorite speaker through Twitter and you could win $200 of Cisco
Press products (@CiscoPress)
• Send a tweet and include
• Your favorite speaker’s Twitter handle <Speaker—enter your Twitter handle here>
• Two hashtags: #CLUS #MyFavoriteSpeaker
• You can submit an entry for more than one of your “favorite” speakers
• Don’t forget to follow @CiscoLive and @CiscoPress
• View the official rules at http://bit.ly/CLUSwin
Promote Your Favorite Speaker and You Could Be a Winner
41. Complete Your Online Session Evaluation
Don’t forget: Cisco Live sessions will be available
for viewing on-demand after the event at
CiscoLive.com/Online
• Give us your feedback to be
entered into a Daily Survey
Drawing. A daily winner
will receive a $750 Amazon
gift card.
• Complete your session surveys
though the Cisco Live mobile
app or your computer on
Cisco Live Connect.
42. Continue Your Education
• Demos in the Cisco campus
• Walk-in Self-Paced Labs
• Table Topics
• Meet the Engineer 1:1 meetings
• Related sessions
45. Programmable NetworkProgrammable FabricApplication Centric
Infrastructure
DB DB
Web Web App Web App
VxLAN-BGP EVPN
standard-based
3rd party controller support
Modern NX-OS with enhanced
NX-APIs
Automation Ecosystem
(Puppet, Chef, Ansible etc.)
Common NX-API
across N2K-N9K
Turnkey integrated solution with
security, centralized management,
compliance and scale
Automated application centric-policy
model with embedded security
Broad and deep ecosystem
Cisco SDN: Providing Freedom of Choice
Automation and Programmability
Mass Market
(commercial, enterprises, public sector)
Service Providers Mega Scale Datacenters
VTS for software overlay
provisioning and management
across N2K-N9K
46. Architectural Transitions for Cloud Adoption
Consolidation Virtualization Automation
Enabling
the Intercloud
LAN SAN
Network
Compute
Storage
Access
Network
Apps Policy
Policy
PolicyCisco ACI
RAPID APPLICATION EVOLUTION
Policy
UCS
ACI
Nexus
Hybrid Cloud