Your SlideShare is downloading. ×
Technology Radar - Cisco Editor's Conference
Technology Radar - Cisco Editor's Conference
Technology Radar - Cisco Editor's Conference
Technology Radar - Cisco Editor's Conference
Technology Radar - Cisco Editor's Conference
Technology Radar - Cisco Editor's Conference
Technology Radar - Cisco Editor's Conference
Technology Radar - Cisco Editor's Conference
Technology Radar - Cisco Editor's Conference
Technology Radar - Cisco Editor's Conference
Technology Radar - Cisco Editor's Conference
Technology Radar - Cisco Editor's Conference
Technology Radar - Cisco Editor's Conference
Technology Radar - Cisco Editor's Conference
Upcoming SlideShare
Loading in...5
×

Thanks for flagging this SlideShare!

Oops! An error has occurred.

×
Saving this for later? Get the SlideShare app to save on your phone or tablet. Read anywhere, anytime – even offline.
Text the download link to your phone
Standard text messaging rates apply

Technology Radar - Cisco Editor's Conference

3,486

Published on

See how Cisco uses its network of scouts, “Tech Radar,” to pave the way for open innovation.

See how Cisco uses its network of scouts, “Tech Radar,” to pave the way for open innovation.

0 Comments
4 Likes
Statistics
Notes
  • Be the first to comment

No Downloads
Views
Total Views
3,486
On Slideshare
0
From Embeds
0
Number of Embeds
1
Actions
Shares
0
Downloads
162
Comments
0
Likes
4
Embeds 0
No embeds

Report content
Flagged as inappropriate Flag as inappropriate
Flag as inappropriate

Select your reason for flagging this presentation as inappropriate.

Cancel
No notes for slide

Transcript

  • 1. Cisco Technology Radar Technology RadarCisco Editors ConferenceCisco Technology IntelligenceThe Cisco Technology Radar is a fundamental part of Ciscos technologyintelligence, aiming at capturing and delivering information on technicaltrends, opportunities and threats. It enables informed strategic decisionmaking at executive level an stimulates innovation. The Cisco TechnologyRadar is published each quarter by the Corporate Development TechnologyGroup (CDTG).Cisco Editors Conference 2013
  • 2. Cisco Technology Radar Goals Early identification of novel technologies and technological trends Cisco operates in a world of increasing market volatility and globalization. Effectively and efficiently managing technological capabilities is critical to maintain and enhance our competitive position. The Cisco Technology Radar enables the identification, selection, analysis, and dissemination of information on novel technologies and technological trends that can become threats or opportunities impacting Cisco’s future business. Enable informed strategic decision-making Technology intelligence, together with market, competitor, and customer intelligence, enables informed strategic decision-making. With its rigorous process and its brief and consistent format, the Cisco Technology Radar provides decision-makers with the intelligence they need to stay on top of the technology landscape and make strategic decisions for their business. Stimulate innovation Novel technologies are at the core of product and service innovation. They provide new routes to differentiation, cost reduction, and lead to new business opportunities. By disseminating information about novel technologies developed both inside and outside of Cisco, and by accelerating external engagements with our ecosystem through the sharing of best practices and the development of joint technology visions, the Cisco Technology Radar paves the way for open innovation.Page 2 of 14 © 2013 Cisco Systems, Inc. All rights reserved.
  • 3. Cisco Technology Radar Cisco Editors Conference© 2013 Cisco Systems, Inc. All rights reserved. Page 3 of 14
  • 4. Cisco Technology Radar Technology Radar Entries Silicon Photonics . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5 Smart Energy Profile 2.0 and Zigbee IP . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6 Car-2-X Communication . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7 Real-time Conversational Speech Recognition . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8 Ultra High-Definition TV . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9 WebRTC . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10Page 4 of 14 © 2013 Cisco Systems, Inc. All rights reserved.
  • 5. Cisco Technology Radar OVERVIEW Silicon Photonics Categorization Silicon Photonics replaces electrical inter-IC • Dev. Phase: (Integrated Circuits) connections with optical Market Ready connections. By using lasers and photo- • Tech-Field: Core Network diodes inside generic ICs, this technology • Cisco Relevance: High overcomes one of the current bottlenecks for • Last Update: Nov 2012 new high speed devices at 100Gpbs and Reasons to watch beyond. The same technology can be used • Important disruption to how systems for communications inside multi-core chips or are built between a processor and its memory. • Potential differentiation technology for Energy efficiency Definition and Scope • Important basic research from Silicon Photonics integrates optical communication devices inside regular ICs to competition • Cisco acquired Lightwire substitute electrical inter-connections. This technology enables the next generation of high speed interconnections and also introduces important energy Cisco Status savings. Additionally, optical interconnections generate less heat than metal • Technology Scout: Roque Gagliano ones. The sum of these power savings can be significant in complex systems. • Cisco Technology Radar Online: https://techradar.cisco.com/56 Maturity Silicon Photonics have been under development for over 20 years at university and industry research centers. The initial set of applications to see the market will be related to pluggable optics, as the technology allows lower power and smaller form factor. Several techniques for inter-chip interconnections that use Silicon Photonics have been successfully demonstrated, including a CMOS implementation by IBM announced in December 2010. There are also start-ups selling this technology for enabling 40 Gbps and 100 Gbps network interfaces. Particularly, Cisco invested in 2009 in CompasEOS, a start-up still in stealth mode that specializes in redesigning networking systems based on silicon photonics. A number of industry and university institutions opened in 2012 the OPSIS (Optoelectronic Systems Integration in Silicon) foundry to reduce the cost of development and manufacturing by sharing tools and processes. Business Impact Silicon Photonics may become an important technology disruption for high-speed data systems and servers. The initial use cases that are getting into product concepts are related to pluggable optics, also referred to as transceivers. This represents a $1B business for Cisco. The greatest disruption for networking equipment could come in the future when all high-end systems will be re-built based on this technology. IBM, Oracle and Intel are heavily investing in this technology, looking at server use cases. Finally, it may also have impact in processing intensive applications such as video encoding/decoding and low latency applications such as High Performance Computing (HPC) and High Frequency Trading (HFT).© 2013 Cisco Systems, Inc. All rights reserved. Page 5 of 14
  • 6. Cisco Technology Radar OVERVIEW Smart Energy Profile 2.0 and Zigbee IP Categorization Smart Energy Profile 2.0 (SEP 2.0) is the • Dev. Phase: most advanced, IPbased standardization Product Concept effort targeting smart objects that monitor, • Tech-Field: Access Network control, and automate the delivery and • Cisco Relevance: High consumption of energy in the consumer • Last Update: Feb 2013 premise. A smart object can be any sensor Reasons to watch or actuator that is able to communicate, for • First example of standard-based example smart meters, smart thermostats, IPv6 stack for smart objects. and smart appliances. The IP layer, Zigbee • Key technology to enable Cisco’s IP, is a first publicly available standard stack Internet of Things technology base for Internet of Things endpoints. • The creation of an ecosystem of IP smart objects helps Cisco position its products in new emerging Definition and Scope verticals. Smart Energy Profile 2.0 application layer • Major utilities & chipset vendors are support includes: (i) “prices to devices” – supporting the SEP 2.0 effort. enabling premise loads to acquire present and future cost of energy (ii) “demand Cisco Status response” – enabling premise devices to respond to service provider signals to • Technology Scout: reduce energy consumption during intervals of peak demand (iii) metering Paul Duffy support enabling premise devices to provide instantaneous and historical energy • Cisco Technology Radar Online: https://techradar.cisco.com/62 consumption data. These capabilities empower a more energy aware consumer, allow load shifting to times of less expensive energy, and ease demand during periods of extreme load. SEP 2.0 further adds support for plug-in electric vehicle charging and distributed energy resource management. The SEP 2.0 data model is closely aligned with IEC Common Information Model (CIM). In addition, SEP 2.0 is based on ubiquitously deployed RESTful Web standards such as HTTP, TLS, TCP, XML and therefore will operate over any IP enabled PHY/MAC. A good example is the Zigbee IP (ZIP) stack, which is designed to run on top of IEEE 802.15.4 wireless. More generally, ZIP is a first implementation of the important Internet of Things endpoint technologies: IEEE 802.15.4 wireless, IETF RPL (Routing Protocol for Low-power and Lossy Networks), IETF 6LoWPAN (IPv6 over Low Power Wireless Personal Area Network), and IETF MPL (Multicast Protocol for Low power and Lossy Networks). 6LoWPAN defines the adaptation layer to carry IPv6 packets over the IEEE 802.15.4 wireless media. RPL is a routing protocol developed specifically for low power and lossy links. This IP based approach is new for the Zigbee Alliance, and is a direct result of strong influence from service providers seeking standard based, scalable, secure, and manageable IP based solutions. Maturity The Consortium for Smart Energy Profile (CSEP) is responsible for SEP 2.0 test and certification program development. The effort is now into its 8th multi PHY/MAC plugfest and expects certification testing to begin mid 2013. Likewise, Zigbee Alliance certification testing for ZIP is in progress (Jan 2013). Business Impact The lack of an open standard for premise energy management has been identified by utilities as a main inhibitor for smart grid applications. By using the well-understood standards of IPv6, SEP 2.0 and ZIP will enable large scale, multivendor deployments of smart-meters and other smart-objects. This will ultimately lead to economies of scale and lower smart object prices, as well as prove the viability of the Internet of Everything technology base. In addition, CSEP certification will build confidence among the utilities and consumers who will purchase these products.Page 6 of 14 © 2013 Cisco Systems, Inc. All rights reserved.
  • 7. Cisco Technology Radar OVERVIEW Car-2-X Communication Categorization Car-2-X communication allows all types of • Dev. Phase: vehicles to communicate either with other Product Concept passenger vehicles, trucks, mass transit • Tech-Field: Cross Functional vehicles (Car-2-Car) or with the traffic • Cisco Relevance: High infrastructure (Car-2-Infrastructure). Cars are • Last Update: Feb 2013 nodes of the Intelligent Transportation Reasons to watch Network. They serve as mobile sensors and • Communication among vehicles actuators for traffic management systems, (car-2-car) and between vehicles providing and using up-to-the-second data and traffic infrastructure (car-2- about the traffic situation, making road traffic more efficient and safer. infrastructure). • Leverages IEEE 802.11p for ad-hoc Definition and Scope wireless networks between cars and infrastructure. Current vehicles use sensors to constantly gather information about their speed, • Numerous use cases in the area of the environment, or the traffic ahead, but are limited by the range of onboard road safety, traffic efficiency and systems, the lack of infrastructure and security for car-2-x communications. integrated value-added services exist. Networking vehicles together with the infrastructure would enable a car to warn following vehicles about icy roads, traffic jams, or similar situations. Energy Cisco Status efficiency may also improve, as fuel consumption can be reduced if the engine • Technology Scout: Barry Einsig stop-start system knows the signal cycles of the traffic lights. Vehicles could also • Cisco Technology Radar Online: send back information to the traffic light, which can be used to optimize the traffic https://techradar.cisco.com/68 flow. Finally, the mass of information gathered in traffic management centers, can be further processed, to extract insight and develop historical models, ultimately improving our experience on the road. To achieve all this, on-board units (OBU) within vehicles can create ad-hoc networks with other vehicles’ OBUs or road-side units (RSU), for example using communication based on the IEEE 802.11p. This standard defines enhancements to 802.11 to support intelligent transportation applications. Alternative 3G / 4G cellular communication channels are also being tested. Maturity Numerous car-to-x projects exist in Europe, Japan, Korea, and in the US. Participants include car manufacturers, car OEMs, infrastructure providers, mobile network operators, governments, and academia. The first limited test-runs of car manufacturers started early in the last decade and demonstrated the viability of the solution. In 2012, the US Department Of Transportation announced the launch of the largest field trial for car-2-x communication worldwide: around 3000 vehicles in real road traffic in Ann Arbor Michigan. Technical and economic challenges remain around standardization, security policies (and their enforcement), regulations, as well as critical mass of initial users. The European Commission made a step forward by adopting measures to ensure that by 2015, cars will be able to dial emergency services (eCall). In 2012, numerous US states also adopted licensing laws for autonomous / remotely operated vehicles. Business Impact Standardized communication possibilities between cars and other fleet vehicles and between vehicles and fixed infrastructure components enable numerous use cases in the area of road safety, traffic efficiency, and integrated valueadded services. This might include collision warning, intersection assistance, local danger warning, real-time traffic jam warning, remote vehicle diagnostics, local weather data, insurance pricing, fleet management, traffic toll payment, and even download of music and other media content. The use cases road safety and traffic efficiency aim at reducing macroeconomic costs through reduced number of traffic accidents, fatalities and advanced traffic efficiency. Value-added services will lead to differentiation and direct revenue streams for car manufacturers and service providers.© 2013 Cisco Systems, Inc. All rights reserved. Page 7 of 14
  • 8. Cisco Technology Radar OVERVIEW Real-time Conversational Speech Recognition Categorization The technology refers to accurate, and real- • Dev. Phase: time automatic transcription of informal Product Concept speech (e.g. speech as it occurs in • Tech-Field: Cross Functional meetings). • Cisco Relevance: Medium • Last Update: May 2012 Definition and Scope Reasons to watch Automatic Speech Recognition (ASR) is a • Speech recognition is a gateway technology that enables machine transcription of human speech. ASR systems technology that opens the path to are based on the use of statistical modeling technology such as hidden Markov potentially highly disruptive models, and statistical language models. To achieve high accuracy, these models technologies, e.g. speech translation are trained on vast amounts of domain specific training data. Accuracy drops • Speech recognition in mobile dramatically if the models are applied outside their specific domain. For this devices, e.g. to power solutions reason, applications of ASR technology to date have been limited mostly to such as Siri, has already proven to constrained tasks, where high accuracy can be achieved at low latency. be a game changer Examples are dictation, voice search, and voice user interfaces. Even recent • First audio/video indexing solutions based on high-latency popular applications, such as Siri, work only for a co-operative user speaking to a conversational speech recognition machine to get a job done. Real-time conversational speech recognition, on the have recently become commercially other hand, will allow a much wider set of applications, such as close-captions of available. video broadcasts for the hearing impaired, transcription and analytics for Cisco Status meetings, free-form speech input for video games, and speech-to-speech • Technology Scouts: translation. Matthias Paulik Ananth Sankar Maturity • Cisco Technology Radar Online: https://techradar.cisco.com/134 ASR has been commercialized mostly for constrained applications. Current technology does not perform well on conversational speech, especially when recorded in a non-intrusive manner using distant microphones. For such conditions, US Government-sponsored evaluations have shown that the best research systems have word error rates well above 30%. Despite the high error rate, it is possible to make use of the technology for certain limited applications, like keyword spotting. Commercially available solutions include “Cisco Pulse Video Analytics”, “GreenButton inCus” or “VoiceBase”. The technology needs to develop much more for it to be widely applicable and useful. Business Impact ASR software revenue is projected to reach $18.9 billion by 2015. Much of this will be due to voice-interface applications. Conversational speech recognition will further expand this market by making voice-interfaces much more human-like. Further, the explosion in video will fuel the use of conversational speech recognition to convert the audio channel to accurate text, enabling search and consumption applications. Real time conversational speech recognition will enable live close captions for the hearing impaired, or, with the addition of translation technology, for viewers with a different native language.Page 8 of 14 © 2013 Cisco Systems, Inc. All rights reserved.
  • 9. Cisco Technology Radar OVERVIEW Ultra High-Definition TV Categorization In a world currently dominated by High • Dev. Phase: Definition displays, the next wave in picture Applied Research resolution will be the immersive Ultra High- • Tech-Field: Cross Functional Definition TV (UHDTV). • Cisco Relevance: Medium • Last Update: May 2012 Definition and Scope Reasons to watch UHDTV provides a video resolution of 7680 • Immersive experience by 4320 pixels at a progressive scan rate of up to 120 frames per second (fps) • Bandwidth requirements with a Field of View (FoV) of 100° to provide an immersive experience. This • Upgrade of existing video represents 16 times the resolution, 2 times the frame rate, and over 3 times the infrastructures FoV of the best High Definition TV services, with an associated increase in data Cisco Status rates. Each raw UHDTV picture is 33 megapixels, producing a raw bitrate of 72 • Technology Scout: Gbit/s per camera, with a likely compressed distribution rate of up to 200 Mbit/s, Thomas Kernen depending on the delivery medium. The primary goal of the technology is to allow • Cisco Technology Radar Online: the media broadcast industry to deliver more compelling, immersive TV services. https://techradar.cisco.com/139 Maturity Whilst HDTV research started in 1970 and reached mainstream 30 years later, UHDTV research started back in 1995 and is now well beyond the halfway point through its development cycle. Currently the main companies involved are mostly from Japan: NHK, NTT, Fujitsu, Mitsubishi, Sharp and JVC Kenwood, where services are branded as “Super Hi-Vision” and targeted for being on air by 2020. Korea recently announced 2017 as their target for airing services, which will certainly involve their main consumer electronics manufacturers (Samsung and LGE). Production companies involved include BBC and RAI R&D departments. Standardization related to production, distribution and delivery of UHDTV content is underway within ITU, SMPTE, MPEG and other relevant bodies. High Efficiency Video Coding (HEVC), which is currently under development, includes support for UHDTV and should provide better compression schemes than MPEG-2 or H.264/AVC, which although supporting Ultra HD resolutions in theory were not part of its standardization effort. Cameras are now in the 3rd generation of prototypes and the first consumer oriented flat panel display prototypes were demonstrated in May 2011 (85” LCD) and April 2012 (145” plasma). Public screenings have taken place over the last 5 years, with a new milestone being live public streaming in the UK, US and Japan for the 2012 London Olympics. On the delivery side, work is ongoing to allow for more efficient coding and modulation schemes to improve RF spectrum usage for satellite and terrestrial delivery of UHDTV services to end users, in parallel to distribution over high speed networks such as Fiber to the Home. Business Impact Initially targeted at the broadcast video market, it is anticipated that the technologies to build UHDTV systems will cross- pollinate into gaming, video conferencing, surveillance, medical imaging and digital cinema markets. To support the uncompressed and compressed bandwidth requirements for production and distribution, video encoding and decoding, new generations of networks, chipsets, storage and coding algorithms will be required. Core infrastructure, production and delivery equipment will need to be replaced to support the higher resolution, color gamut, frame rate and transmission speeds. The new equipment will need to maintain backward compatibility, support legacy codecs and lower resolutions. Hence content will be produced in UHDTV and down converted to HDTV where needed.© 2013 Cisco Systems, Inc. All rights reserved. Page 9 of 14
  • 10. Cisco Technology Radar OVERVIEW WebRTC Categorization WebRTC provides a real-time • Dev. Phase: communication stack for the web. WebRTC Product Concept enables applications such as voice calls, video chat, file sharing, messaging, • Tech-Field: End-User Services white-boarding, gaming and any other real-time interaction. • Cisco Relevance: Medium • Last Update: Aug 2012 Definition and Scope Reasons to watch WebRTC abstracts and simplifies key real-time communication technologies for • Ubiquitous WebRTC deployments web developers: codecs, audio/video engines and the transport layer. In will commoditize real-time particular, on the codec front, WebRTC comes with the VP8 codec for video. It communication over the Internet also includes the iLBC (Internet Low Bitrate Codec), iSAC (Internet Speech and and can disrupt the collaboration market Audio Coder), G.711, and G.722 codecs for audio. WebRTC operates without any • Cisco should engage with Service native client or plug-in download. It runs from a browser using simple HTML5 and Providers to define end-to-end JavaScript APIs. WebRTC does not specify any signalling protocol. architectures for future WebRTC deployments Maturity Cisco Status WebRTC is work in progress. It is still being drafted by the World Wide Web • Technology Scout: Consortium (W3C) and the Internet Engineering Task Force (IETF). Yet, in June Sylvain Baron 2011, Google had already open sourced an initial WebRTC framework under a • Cisco Technology Radar Online: royalty free BSD (Berkeley Software Distribution)-style license. This open source https://techradar.cisco.com/143 project is also supported by Mozilla and Opera. All web browser vendors are already implementing WebRTC. Google Chrome was the first to preview WebRTC in January 2012. Google is also working on migrating its Google Talk plugin. Mozilla integrated WebRTC into its Firefox alpha release in March 2012, and in April 2012 they gave a demo of a WebRTC video call inside the Firefox browser. Finally, Microsoft has also started implementing WebRTC. Opera 12 is the first browser to officially support WebRTC and by the end of this year Chrome and Firefox (i.e. over 50% of the desktop market) will support WebRTC. Market penetration should thus be complete by the end of 2012. The main roadblocks to mainstream adoption will likely remain NAT / firewall traversal and QoS (Quality of Service) issues. Business Impact Ubiquitous WebRTC deployments will commoditize real-time communication over the Internet and can disrupt the collaboration market, which represents a total addressable market of $45 billion (according to Cisco Global Market View). Essentially any browser will embed an "open" Jabber/WebEx-like client, or any other endpoint for real-time communication and control. This will enable an explosion of innovations. Many WebRTC applications are already being launched. Examples include “Tenhands”, a browser-based HD video collaboration service; “Bistr”, a one-click social video chat service with fun video effects; “FrisB” and “Vox.io” which provide free global calling services between any web browser and any phone; “Utribo”, a Communication-as-a-Service for instant customer care directly from a web site.Page 10 of 14 © 2013 Cisco Systems, Inc. All rights reserved.
  • 11. Cisco Technology Radar This page has been intentionally left blank© 2013 Cisco Systems, Inc. All rights reserved. Page 11 of 14
  • 12. Cisco Technology Radar About the Cisco Technology Radar Methodology Over the past few years there has been a growing interest in systematic approaches to technology intelligence to support strategic decision-making. The Cisco Technology Radar draws on best practices from several industries, including IT, pharmaceutical and automotive. They have been tailored to Cisco’s values, size, needs and structure. The Technology Radar is a collaborative effort where all Cisco employees have a role to play. Its process is articulated around a knowledge funnel divided into four phases: identification, selection, assessment and dissemination. Identification Phase An international network of technology scouts submits novel technologies for inclusion in the Technology Radar. All Cisco employees can become technology scouts by leveraging their expertise, or their strong social network to get first- hand information. Apart from the opportunity to influence Cisco’s strategy, incentives for scouting include visibility, development opportunities and formal recognition. Additional mechanisms are being planned or deployed to gather inputs on novel technological developments from academia, venture capitalists and Cisco’s ecosystem of customers and partners. Selection Phase The Cisco Technology Radar team works with a panel of senior technical experts, including Cisco Fellows and Distinguished Engineers, to review all submitted technologies on a quarterly basis. Technologies that have been on the Technology Radar for more than one year are also reviewed, ensuring that aging information is handled appropriately. The selection criteria for being included or kept in the Technology Radar are built upon the concepts of Technology, Impact and Novelty, as detailed below: Test 1: Technology Does this submission describe engineering or scientific knowledge that can be applied to the conception, development, manufacturing or application of a product or a service? Test 2: Impact Could this technology impact Cisco, either positively or negatively, in a way that requires decision-making at executive level?Page 12 of 14 © 2013 Cisco Systems, Inc. All rights reserved.
  • 13. Cisco Technology Radar Test 3: Novelty Is this technology new to the industry? Consider: (a) technologies that are completely new (b) important changes in a technology or its application (c) important rise in the awareness of a technology or its application AND is this technology new to Cisco? Consider: (a) technologies not incorporated in any shipping / EDed product (b) technologies where there is a clear need to raise or broaden awareness across the company AND is this entry new to the Technology Radar? Consider entries that are not (largely) covered by existing Technology Radar content Assessment Phase The selected technologies undergo a deeper analysis led by the scout. A one-page technology profile is created, describing the technology, its maturity and impact on the market and on Cisco in particular. This technology profile is written for an executive audience, putting the technology in business context and limiting the content to unbiased facts and findings. Once this profile is created, the Technology Radar works with a panel of senior technical and business leaders, including Directors, CTOs and VPs from several groups across Cisco to assess the relevance of each selected technology for Cisco. The assessment criteria are based on two axis: market opportunity and implementation risk for Cisco, as detailed below: Market Opportunity Axis (a) Potential market size (b) Disruptive potential (c) Customer value Implementation Risk Axis (a) Internal Risk (b) External Risk (c) Maturity Dissemination The Cisco Technology Radar is published every quarter. The succinct format of the radar screen displays all technologies along with their maturity, their position in the IT/Telecom value chain, and their relevance as rated by the assessment panel. The Technology Radar is distributed throughout Cisco using a website, a PDF version and a newsletter. The intelligence produced by the Cisco Technology Radar feeds into technology strategy processes, whilst supporting the identification and analysis of technology transitions for corporate planning. It is also used to monitor academic research and guide its funding, along with identifying investment opportunities. In addition, the Cisco Technology Radar is used to accelerate external engagements with key customers and partners through the sharing of best practices and the development of joint technology visions.© 2013 Cisco Systems, Inc. All rights reserved. Page 13 of 14
  • 14. Cisco Technology Radar Contributors to this Technology Radar Volume The Corporate Development Technology Group (CDTG) helps shape innovative new technologies into the right fit for Cisco, evaluating a technologys suitability for the Cisco portfolio. Identifying, incubating and capturing strategic value from disruptive technology trends are key to Ciscos long-term technology leadership. The Technology Radar is a key element of CDTG’s strategy and serves as an efficient mechanism to gather, assess and disseminate information about emerging technologies. CDTG collaborates with various organizations across Cisco to deliver this Technology Radar. Along with all Scouts mentioned in the technology profiles, the following people contributed to this volume: Selection Phase Assessment Phase Technology Radar Core Team Past & Current Panelists Past & Current Panelists Corp. Dev. Technology Group Dave Oran (Cisco Fellow) Rob Adams (Dir, Corp Dev) Stephan Monterde (Lead) Fred Baker(Cisco Fellow) Laurent Philonenko (VP/GM) Mathilde Durvy Mod Marathe (DE) Hal Gurley (Dir, IBSG) Roque Gagliano Carlos Pignataro (DE) Art Howarth (Dir, CTO) Frederic Pont Erick Vyncke (DE) Lars Peters (Dir, Corp Strategy) Claude Promonet Brian Weis (DE) Chris Lonvick (Dir, CTO) Robert Cresswell Monique Morrow (DE) Chip Sharp (Dir, CTO) Joshua Ebanks Jim Fenton (DE) Roland Acra (VP) Isabel Redondo Raja Banerjee (Dir) Dave Rossetti (VP) Mark Nowell (Dir) Etc... Ram Jagadeesan (PE) Etc... Cisco Technology Radar Contacts Stephan Monterde: smonterd@cisco.com Frederic Pont: fpont@cisco.comPage 14 of 14 © 2013 Cisco Systems, Inc. All rights reserved.

×