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In real-time: new key success factors

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In real-time: new key success factors

  1. 1. In real-time: new key success factors Milan, October 24, 2018
  2. 2. © IDC Visit us at IDCitalia.com and follow us on Twitter: @IDCItaly Agenda Real-time infrastructures Real-time data & analytics Real-time decision making 2
  3. 3. © IDC Visit us at IDCitalia.com and follow us on Twitter: @IDCItaly The time is now: real-time experiences in everyday life More than real More than on demand More than services
  4. 4. © IDC Visit us at IDCitalia.com and follow us on Twitter: @IDCItaly Changing the way of doing business 4 Source: elaborazione IDC da InformationWeek, Digital innovators 2015, Top 100 World’s largest taxi company owns no taxis (Uber) Largest accomodation provider owns no real estate (AirBnB) Largest communication companies owns no telco infrastructrue (WhatsApp) Most valuable retailers hold no inventory (Alibaba) Most popular media corporation produces no content (Facebook) Largest movie house owns no cinemas (Netflix) Largest software vendor do not write apps (Apple, Google)
  5. 5. © IDC Visit us at IDCitalia.com and follow us on Twitter: @IDCItaly 5 Rush-time hours: surviving IoT & DX requires agility Connected Car Smart Products Smart Utilities Smart Analytics ‘Makers’‘Users’ Home IoT Industrial IoT Information Technology Operations Technology Wearables Platforms Intelligent Gateways Consumers Connected Health Smart Energy Smart Transportation Smart Factories Enterprise ‘Edge’ Red Queen Hypothesis Catch-up or slip away!
  6. 6. © IDC Visit us at IDCitalia.com and follow us on Twitter: @IDCItaly Accelerated computing is reducing Time-to-Value 6 Fast load/store access to large shared pool of fabric-attached non-volatile memory Using a combination of various technologies, Memory-driven Computing seeks to break the barriers of homogeneous computing, in terms of scalability and agility
  7. 7. © IDC Visit us at IDCitalia.com and follow us on Twitter: @IDCItaly Delivery timely information requires different architectures 7 Value-added content (VAC), or Data- as-a-service (DaaS), is the idea that data can be provided on-demand/ near-real-time to support business needs and processes
  8. 8. © IDC Visit us at IDCitalia.com and follow us on Twitter: @IDCItaly Edge value prop in a single word: running faster 02 03 04 01 56% 45% 43% 57%Content Delivery at the Edge Data Processing at the Edge Greater peering traffic at the Edge Proximity to point of transaction being captured Source: IDC US Enterprise Datacenter Survey, n=213 … but also Richer Media Experience for the End User 33% and Improved Security 29%
  9. 9. The needs in terms of data analytics impact on traditional infrastructures 9 Source: IDC, SW Survey (n=223, employees > 50, different within groups; weighted percentages). Color scheme on weighted answers with thresholds at 25th, 50th, 75th percentiles (from black to red) Infrastructure Challenges Needforbetter analytics 1 𝑜𝑣𝑒𝑟 3 companies with the need to improve analytics are facing the challenge to make an effective use of cloud and to refresh their technology infrastructure
  10. 10. © IDC Visit us at IDCitalia.com and follow us on Twitter: @IDCItaly Why managers need real-time? 57% 69% 69% 79% 80% 87% 71% 86% 63% 74% 81% 86% 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% ORGANIZATIONAL CHANGE ENTRY INTO NEW MARKETS DEVELOPMENT AND LAUNCH OF NEW PRODUCTS/SERVICES IMPROVE QUALITY OF EXISTING PRODUCTS/SERVICES REDUCTION OF COSTS IMPROVE BUSINESS PROCESSES Need for real-time analytics & information Market average
  11. 11. © IDC Visit us at IDCitalia.com and follow us on Twitter: @IDCItaly 11 When data shifts to real-time, the space for decision making expands
  12. 12. © IDC Visit us at IDCitalia.com and follow us on Twitter: @IDCItaly Concluding remarks  New business requirements to hold on  New opportunities & challenges for managers  Business agility requires an intelligent core
  13. 13. IDC Italia Viale Monza 14 20127 Milano Tel: +39 02 28457339 gvercellino@idc.com Giancarlo Vercellino Research & Consulting Manager IDC Italy www.idc.com

Notes de l'éditeur

  • Esempio ray tracing (ARVR)
    Esempio logistic
    Esempio mobile
  • Moving from Processor-centric Computing (PCC) to Memory-driven Computing (MDC)

    Today’s silicon-centric computing platforms are inherently inefficient as memory is tethered directly to each processor, making it difficult for this memory to be shared across platforms.
    Clustered, node-based computation (needed for scale-out applications) is inhibited by the amount of memory that can be shared by processors in a coherent manner over a dedicated network.
    MDC aggregates memory into a pool that is shared with and accessed equally by multiple processors (CPUs) and system-on-chips (SoCs), over a ultra-low-latency, high-bandwidth interconnect fabric.
    The use of non-volatile memory enables MDC to be utilized for next-gen data-intensive applications

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