Apac
  • Home
  • CXO Insights
  • CIO Views
  • News
  • Conferences
  • Newsletter
  • Whitepapers
  • About us
Apac
  • Admired Tech

    Agile

    AI Healthcare

    Artificial Intelligence

    Augmented Reality

    Aviation

    Big Data

    Blockchain

    Cloud

    Cryptocurrency

    Cyber Security

    DevOps

    Digital Transformation

    Drone

    HPC

    Infrared

    Internet of Things

    IT Services

    Marine Tech

    Networking

    PropTech

    Remote Work

    Robotics

    Scheduling Software

    Sensor Tech

    Simulation

    Smart City

    Software Testing

    Startup

    Storage

    Unified Communication

    Web Development

    Wireless

  • Automotive

    Banking

    Capital Market

    Construction

    E-Commerce

    Education

    FinTech

    Food and Beverages

    Gov and Public

    Healthcare

    Insurance

    Legal

    Logistics

    Manufacturing

    Media and Entertainment

    Metals and Mining

    Pharma and Life Science

    Retail

    Sports

    Travel and Hospitality

  • CISCO

    Google

    IBM

    Microsoft

    Oracle

    Salesforce

    SAP

    ServiceNow

  • Business Intelligence

    CEM

    Cloud-based Planning

    Cognitive

    Collaboration

    Compliance

    Contact Center

    Contact Tracing

    Contactless Payments

    Corporate Finance

    CRM

    Custom Software Development

    Data Center

    Digital Signage

    Enterprise Architecture

    Enterprise Asset Management

    Enterprise Communications

    Enterprise Contract Management

    Enterprise Performance Management

    ERP

    Facility Management

    Field Service

    Fleet Management

    Gamification

    HR Technology

    IT Infrastructure

    IT Service Management

    Managed Services

    PLM

    Procurement

    Product Management

    Project Management

    RegTech

    Revenue Management

    Sales Tech

Menu
    • Telecom
    • CISCO
    • Collaboration
    • Compliance
    • Contact Center
    • Healthcare
    • IT Service Management
    • Microsoft
    • Retail
    • MORE
    #

    Apac CIO Outlook Weekly Brief

    ×

    Be first to read the latest tech news, Industry Leader's Insights, and CIO interviews of medium and large enterprises exclusively from Apac CIO Outlook

    Subscribe

    loading

    THANK YOU FOR SUBSCRIBING

    • Home
    • Telecom
    Editor's Pick (1 - 4 of 8)
    left
    Communication is the Key

    Nathan Hillery, National Chief Information Officer, IPG

    Dropped Calls Killed the Digital Revolution

    Daniel Dribinski, CTO & Founder, Cellwize

    Impact of Information & Communications Technology - Strategies to Mitigate Challenges

    Lim Sek Seong, VP, Marsh Risk Consulting

    Developing Greater Communication and Critical Thinking Skills among University Students

    Lim Chee Leong, Associate Director, e-Learning Academy (eLA), Taylor's University

    Malaysia's Advancement in Information, Communications and Technological Industry

    Dato'Ng Wan Peng Chief Operating Officer of Multimedia Development Corporation

    The Blockchain and the Future of the Internet of Things

    Andrew Milroy,

    Machine learning: Making the Machine Relate to Humans

    Cedric Roll, Chief

    Challenges of Tele-communications Industry in 2016

    Alita Wong, Head of Marketing, APAC, Amdocs

    right

    Can Networks Cope with the Explosive Demands of Big Data?

    By Rashik Parmar, President, IBM Academy of Technology

    Tweet
    content-image

    Rashik Parmar, President, IBM Academy of Technology

    It is estimated there are approximately four zettabytes (1021) of data today and this total is increasing at 50 percent per annum. This growth is driven by the proliferation of digital devices and technologies such as sensors, embedded processors and even security cameras. Data is being gathered and analyzed at an unprecedented pace in an attempt to find new ways to optimize or increase the effectiveness of systems such as healthcare, transportation and energy.

    Just stop to consider these examples around us: the typical airplane engine has over a 1,000 sensors to constantly monitor performance; three billion smart phones are being used by individuals to instantly share their world with family and friends; billions of RFID tags are used to track everything from the movement of goods to the performance of athletes; the sensors from the typical Formula 1 car will create 25 megabytes of data in one lap; over 100 hours of video is uploaded to YouTube every minute. We are now entering a world in which everyone, everything and every organization will be constantly creating data.

    You might wonder, with so much data available, why is there still so much waste and inefficiency in all aspects of our daily lives? Congested roadways annually cost the US economy US$78 Bn, from 4.2 billion lost working hours and 2.9 Bn gallons of wasted petrol—and that’s not counting the impact on air quality. Inefficient supply chains cost US$40 Bn annually in lost productivity—more than 3 percent of total sales.

    Our healthcare system really isn’t a ‘system’. It fails to link diagnoses, drug delivery, healthcare providers, insurers and patients—at the same time as costs spiral out of control, threatening both individuals and institutions. One in five people living today lack safe drinking water, and we’ve seen what happened to our financial markets, a system in

    which institutions were able to spread risk, but not track it.

    The challenge is that data alone is of little value. Only when raw data is combined and contextualized will it create valuable information and help provide answers. The challenge ahead is how to derive value from the data in a timely and affordable manner. Advances in cognitive computing technologies are already demonstrating that we will soon be able to address many of society’s challenges.

    So what is cognitive computing?

    Cognitive computing refers to a new breed of computer systems that can learn for themselves rather than needing to be programmed. Attempts to create computer systems that are able to think go back as far as the 1950s, when Alan Turing defined his famous test to assess if the conversational capabilities of a computer system could be indistinguishable from a real human being.

    Advances in programming techniques through languages such as Prolog and Lisp in the 1980s showed promise in being able to describe complex logic and allow computer systems to derive results that were not explicitly programmed. In parallel, advances in neuro-linguistic programming have provided modeling techniques that allow advances in text analytics and natural language processing. However the breakthrough came in 2010 when, using the US game show Jeopardy as a stage, IBM’s DeepQA system (AKA Watson) was able to beat the world champions in a quick-fire, general knowledge quiz.

    DeepQA is a computer system that can directly and precisely answer natural language questions over an open and broad range of knowledge. It is different from traditional computing systems that are not programmed to answer a specific set of pre-defined questions. The DeepQA system is able to dissect any question and identify a series of possible responses from a pool of structured or unstructured data. Using a complex technique of evidence scoring, the system ranks the possible answers and selects the most appropriate responses. Today, DeepQA has advanced question-answering technology to a point where it now clearly and consistently rivals the best human performance.

    Applying DeepQA techniques opens a wide variety of opportunities to assist knowledge workers in making complex decisions. Early trials with doctors have already demonstrated how it can help improve the treatment of patient conditions. For example, in 15 seconds the system is able to cross-reference the records of a million cancer patients to help assist in identifying the right care plan.

    However, the DeepQA system can only be as good as the information available to it, so creating a comprehensive contextual repository represents both a computing and networking challenge. Data from the vast range of sources needs to be collated and understood. At the same time anomalies need to be identified and assessed to determine their cause. Next, contextual information needs to be created so that DeepQA systems have the evidence to support their answers. Early analysis has shown that for every byte of unstructured text, 10 bytes of metadata and a further 100 bytes of relationship data need to be created. Moreover 1000 bytes are needed to create context and meaning in order to mimic human understanding.

    Being able to move data to a place where it can be of value is one of the fundamental reasons for data networks to exist. With the advent of the Internet and standards it is much simpler to make use of data for purposes previously thought of as impossible or unimaginable.

    tag

    Financial

    Natural Language Processing

    Weekly Brief

    loading
    25 Most Promising Telecom Solution Providers

    Featured Vendors

    Cataleya

    Jay Jayasimha, CEO

    QROi

    Helge Raitanen, Founder & Director

    ON THE DECK

    Content Management System 2020

    Top Vendors

    Contactless Payments 2020

    Top Vendors

    Admired Tech 2020

    Top Vendors

    Previous Next

    I agree We use cookies on this website to enhance your user experience. By clicking any link on this page you are giving your consent for us to set cookies. More info

    Read Also

    Pinpointing Weak Links in an Enterprise Security Chain: Helping Companies Battle Data and Content Security Challenges

    Pinpointing Weak Links in an Enterprise Security Chain: Helping Companies Battle Data and Content Security Challenges

    Hiro Imamura, SVP and GM, Business Imaging Solutions Group, Canon U.S.A. [NYSE:CAJ]
    Evolving Customer Relationship Management: Move Fast or Die Trying

    Evolving Customer Relationship Management: Move Fast or Die Trying

    Ed Ariel, Vice President of Service Operations, ezCater
    Importance of Customer Relationship Management Implementation

    Importance of Customer Relationship Management Implementation

    Drew Fredrick, Vice President, Home Building Technology, Clayton Homes
    How enterprise tech startups and corporates can collaborate for innovation

    How enterprise tech startups and corporates can collaborate for innovation

    Paul Santos, Managing Partner, Wavemaker Partners
    How an Initiative for Standardization and Modularization Leads to Cost Reduction, Increased Efficiency-and Better Teamwork

    How an Initiative for Standardization and Modularization Leads to Cost Reduction, Increased Efficiency-and Better Teamwork

    Faruk Bilgin, Global Director Manufacturing Engineering of Webasto Group
    Empowering the Retail Paradigm

    Empowering the Retail Paradigm

    Jason Williams, VP of Engineering, DICK’S Sporting Goods
    Fortifying the Retail Pardigm Amidst Uncertainities

    Fortifying the Retail Pardigm Amidst Uncertainities

    Vlad Yakubson, Head of Retail, yd.
    Journey from Intelligent Automation (IA) to Artificial Intelligence (AI)

    Journey from Intelligent Automation (IA) to Artificial Intelligence (AI)

    Sanjay Choubey, VP-IT, Briggs & Stratton
    Loading...

    Copyright © 2021 APAC CIOoutlook. All rights reserved. Registration on or use of this site constitutes acceptance of our Terms of Use and Privacy Policy  |  Sitemap |  Subscribe

    follow on linkedinfollow on twitter follow on rss
    This content is copyright protected

    However, if you would like to share the information in this article, you may use the link below:

    https://telecom.apacciooutlook.com/cxoinsights/can-networks-cope-with-the-explosive-demands-of-big-data-nwid-799.html