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  • Academic and early commercial adopters Some customer pull – interest Vendor-driven (lots of hype) We haven’t missed the boat, but need to act now to take leading role
  • Here, I’ve listed a few of the areas BiCs is looking into to achieve its vision. BiCS is looking at open systems (e.g. systems with standards-based interfaces, data and process, and semantic web technologies) to help with the systems integration task. Here we are working with standards bodies to validate and realise this approach. BiCS is looking at ways to reduce time-to-market and costs, for example, using MDA (increase system agility) & the open source software approach (lower costs) And, BiCS is learning from, working with and feeding into 21C and other mainstream BT projects.
  • The Web was designed to enable people to access documents stored on computers distributed across the globe. So it was designed for human-to-machine communication, rather than machine-to-machine interworking. Specifically, the free text nature of a web page makes it hard to automatically identify relevant information. HTML, the language of today’s web, specifies the layout of pages, it does not identify the meaning (semantics) of the information on the page. To take a simple example, HTML can specify that a given string should be displayed in bold font but cannot tell you that that string represents a product code. To take a specific example, we may wish to design an intelligent agent system which helps us select a new car, by visiting manufacturers’ web-sites, obtaining data, filtering on the basis of our stated preferences, and making comparisons. We will obviously want to know the price. However, every web-site will have price intermingled in the text in a haphazard way. We may be able to design software which is more-or-less successful in identifying the price information. But even if we can, it will never cope with the cost of extras etc. And other information, e.g. safety information, will be more complex still. In addition, the current web is difficult to search because of the lag of tagging. If we want a document written by John Davies we search for a document with the ‘John Davies’ string. But this may be about John Davies, written for John Davies, or may mention John Davies for any number of other reasons..
  • Transcript

    • 1. The Big Challenges IT Futures Research Centre
    • 2. Introduction
      • What is BT?
      • What is Research and Venturing?
      • What is the IT Futures Research Centre?
      • What are our challenges?
      • Where do we go from here?
    • 3. What is BT?
      • BT is a Global IT and Networking Services Company
      • ‘ We design, develop and manage IT systems for organisations around the world, helping them to address the challenges and realise the opportunities presented by the emergence of the digital networked economy.
      • What differentiates BT in this marketplace beyond our size, reach and network assets – which are considerable - is our unique expertise and insight into how networked IT can be used to help our customer’s address their strategic and operational issues on a global basis’
    • 4. BT Group CTO - Research & Venturing BT Exact & BT LoBs Long Term Research Mobility ICT Network Transformation Improving Customer Experience CTO Research Centres Ventures • Business Support • Service Innovation • Partnership Mobility IT Futures Networks Pervasive ICT Foresight Intelligent Systems Asian Research Centre External Venturing IPR Licensing Sector Programme Security Broadband Broadband Applications
    • 5. What we do
      • The primary objective of the IT Futures Research Centre is to carry out world class research that will generate Intellectual Property and identify new revenue opportunities for BT’s growing business in ICT.
      • The Centre brings together research experts in areas such as:
        • virtualised computing and storage infrastructures;
        • automated ICT service assurance;
        • architectures for next generation operational support systems;
        • business and customer analysis to support new products and services;
        • next generation semantic web technologies;
        • managing system integration complexity to ensure the delivery of customer solutions that are on time, on budget and meet customer requirements.
    • 6. The IT Futures Research Centre Teams
        • Strategic and Business Analysis Research
        • Next Generation Semantic Web Research
        • ICT Application Platforms Research
        • Future ICT Management Systems
        • Next Generation Computing Infrastructures
    • 7. Next Generation Computing Infrastructure
      • Managing the ICT Infrastructure of the future through:
          • Distributed Computing Management
          • Policy Based Management
          • Service Level agreements
          • GRID Computing
          • Large Scale Distributed Storage
    • 8. Future ICT Management Systems
      • Architecting Next Gen e ration ICT Support Systems through:
          • Component Software – MDA
          • OSS
          • Open Source
          • Network Management
          • Enterprise ICT Support
          • Rapid Application and Service Provisioning
    • 9. ICT Application Platforms Research
      • Stimulating revenues and cost reduction through a better customer
      • experience
          • Multimodal technology
          • Application Development Platform
          • APIs
          • Service Agency
    • 10. Next Generation Semantic Web Research
      • Enabling Next Generation Business and Knowledge Management
          • Knowledge and Information Fusion
          • Search and content management
          • Collaboration technology (P2P)
          • Semantic Web Services
          • Web 3
    • 11. Strategic and Business Analysis Research
      • Supporting Strategic ICT Decision-Making through:
            • Commercial Analysis
            • Business Simulations
            • Socio-economic/ ethnographic studies of the impact and use of emerging ICT
            • Risk mitigation
            • Dynamic Systems Modelling
            • Services Science
    • 12. Some Assu m ptions on the Impact of Technology
      • There will be an increased demand and provision of network-centric solutions
      • There is rising expectation on ICT from increased converged services in the home/SoHo.
      • Outsourcing will grow to provide management of virtualised resources
      • Infrastructure no longer dedicated and physically bound to a task.
      • Infrastructure will be flexible, distributed, dynamic and can be used on a pay-as-you-go basis.
      • Industries, markets, products, service delivery processes are all growing in complexity - enabled by technology, driven by competition and regulation
      • At the same time customers expect straightforward, complete, helpful experiences
      • Automation will lead to increased self-service solutions.
      • Several developing technologies could have a significant impact on ICT over next 5 years
      • It is unlikely that any totally new technologies will have major impact over next 5 years
    • 13. Technology Domains Infrastructure Layer Virtualised Resources Interoperability Semantic Layer Sense-Making and Semantic Technologies Quality and Reliability Service Integration Layer Integration & Orchestration Management Services
    • 14. Virtualised Resources
      • Key objectives
        • To provide virtualised computing and storage infrastructure distributed over an IP network
        • To investigate methods, tools and techniques that will enable the undertaking of total ICT infrastructure and processes health analysis
        • To undertake research that supports total ICT Service Assurance
      • Key Research Challenges
        • Automatic Inventory analysis – Virtual Monitoring Framework
        • Analysis of Computer Estate (N/W, IT, Applications)
        • Automatic ICT Service Assurance to assess performance – Total Performance Knowledge Dashboard
        • ICT Root Cause Analysis
        • Dynamic SLA management
          • Negotiation and the illusion of choice
          • Vocabularies and translation
          • Automatic generation of policies – interaction with the computing fabric
        • Large Scale Distributed Storage Management
          • Real-time Access
        • Business Process discovery and Performance
    • 15. How did we get here? The adaptive enterprise Web services Business process management Grid deployment Mainframe Personal Internet Client server Service-centric management Horizontal architecture flexible, stable, supply matches demand Level of enterprise adaptability Silos of technology inflexible to change, over-provisioned Time
    • 16. GRID will become mainstream 2007/08 Focus GRID technologies Key drivers Companies using GRID computing <1% 2% 5% 10% … BUT early opportunities are emerging NOW
      • Academia
      • Research institutions
      • Early adopters in enterprise space
      • IT seen as a cost centre
      Intra-enterprise GRID Inter-enterprise GRID Nascent
      • Large enterprise private grids
      • Focus on cost reduction and efficiency
      • Business process improvement benefits begin to take effect
      • Initially single applications
      • Dynamic partitioning
      • Network load balancing
      • Distributed Storage
      • Large scale distributed performance management
      • Security and Trust solutions
      • Enforceable SLAs
      • Dynamic virtual partitioning
      Improve operational costs Improve efficiency and hardware ROI
      • GRID for commercial use between Corporates
      • End to End SLA management
      • Shared IT resources and infrastructure adoption
      • Self healing/autonomic systems
      • Policy based management
      • Opportunistic management
      2006 2008
    • 17. Service Integration and Orchestration
      • Key Objectives
        • To enable the migration towards architectures where desired services are created automatically as required, and integration provided automatically for the duration of the transaction
        • To support rapid Service Creation and hosting environments based on re-useable application and OSS capabilities, backed by integrated 24x7 operations and guaranteed QoS
        • To enhance integration of network-based, application-based, and content-based services with (Semantic) Web technologies
        • Identify SLA requirements at the Application / Service level of Abstraction
      • Key Research Challenge
        • Take a high level SLA and generate the SLA requirements for the constituents
        • SLA’s that straddle the Organizations, Business, Application, Middleware and end-to-end Networks
        • Architectures and Methodologies that support rapid, low cost service delivery
        • Service Discovery and Composition
        • Automating Network Based Integration Services
    • 18. Managing ICT Services 21C ICT Management Architecture Real-Time ICT Service Assurance & Provisioning Billing for Complex ICT Services Requesting Application Datacentre Apps Branch Desktop CEO Desktop Policy Direction (Real Time) Policy Enforcement Policy Administration
    • 19. Open Systems Realising best in class systems Reduced Time-to-Market & Cost 21C Architecture & Futures Customer IP PBX Order Partner Product Shipment Ordered Network Provider Create Config Partner IP PBX Delivered Customer IP PBX Auto Configures Service Provider Active Service Reported
    • 20. Convergence – Service Agency Platform
      • Concept developed in 2005
      • New opportunity for a business to intermediate between consumers and 3 rd party service providers
      • Support core consumer services through
        • Identity & Authentication Management
        • User interaction
        • Purchasing and Payment
      • Prototype
        • Server – web services
        • Mobile (J2ME and MS) and PC clients
        • Scenarios such as eBay bidding
      SERVICE AGENCY Capability Exposure Payment manager Access De/MUX TCP/IP HTTP-TCP/IP GPRS HTTP-GPRS 3G Authentication User Interaction Payment Location Self-care Web Portal Admin Web Portal MANY MORE… Register/Selector Location manager
    • 21. Sense-Making and Semantic Technologies
      • Key Objective
        • To make sense of a Complex and Dynamic Commercial Environments
        • To maximising the value of Unstructured Corporate Information
        • To determine the impact of Web 2 technologies on BT systems
        • Use of semantic technologies to enable interoperability between systems in the absence of common integration standards
      • Key Research Challenge
        • Developing tools for sense-making, policy and decision-making (“Tools for Thinking”)
        • Semantic integration of heterogeneous information sources
        • Intelligent analysis of structured and unstructured information
        • To develop models that manage complexity
          • System dynamics and Agent Based Models
        • Semantic Grids
        • Real time Business Intelligence
    • 22. Next Generation Web
      • Today’s web
        • Machine-to-human
      • Tomorrow’s web
        • Also machine-to-machine
        • “ an extension of the current web in which information is given well-defined meaning ” (Tim Berners-Lee)
        • making web-based information machine-understandable
      • Enabling
        • Semantic knowledge management
          • Intelligent search, integration of multiple information sources
        • Automatic web service discovery and composition
          • “ I want a 10 day holiday in France starting next week sometime. Find me the cheapest hotels and flights and book taxis to and from the airports on my credit card.”
        • Faster, less costly next generation systems integration
          • via semantic description of components facilitating automatic integration
    • 23. Semantic technology timeline enabling next generation ICT via rich descriptions Information integration & KM System interoperability 2000 2010 2005 2015 Semantic Intranet Virtual Organisations Semantic BPM Semantic Web Services Business integration Semantic Grid Pervasive Computing Ambient Intelligence Automatic service discovery and composition leading to faster, cheaper integration. 30% of all IT costs are on integration (Gartner) Solution specification at the business level: system integration as a result of BPM updates. “ Business processes inside the organization are generally not accessible to machine reasoning “ From business goal to ICT solution. Networked devices embedded in the environment: continuous and unobtrusive connectivity and services Service provider alliances to respond to particular market opportunities. The ability to create reliable and scalable VOs on demand in a dynamic, open and competitive environment Unified access to heterogeneous information sources. 43% of business resort to manual processes and/or new software when integrating data for reporting. Intelligent search. “ The only path to scalable interoperability of data, services, processes and devices”
    • 24. Business Analysis
      • Key activities
        • Develop computer simulations to support strategy development.
        • Strategic business and customer analysis, in support of BT’s strategic plan and new products and services.
        • Socio-economic/ ethnographic studies of the impact and use of emerging ICT
      Volumes Lead times The way we dynamically deploy our skill pools to deal with incoming volumes determines what we deliver to our customers People Create, adapt and apply computational economics, to address BT's business problems
    • 25. A Vision too far?
      • Software will be personalised to provide users their own tailored, unique working environment suited to personal needs.
      • Software will be self-adapting, containing reflective processes to understand how it is being used and implement ways to adapt to users requirements.
      • Software will also identify the need to commission new or changed software and decommission redundant software.
      • Software will operate transparently to provide a high degree of resilience against failure.
      • All interactions with software will be conducted through natural forms and anticipation of user’s needs will be such that any such interactions, natural or otherwise, are minimised
    • 26.