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       #3: Trust and governance: By 2022, algorithm opacity,  #10  IT  ops  automation: By the year 2022, 75% of IT
       decision bias, malicious use of AI, and data regulations  Operations will be supplanted by AI or analytics-driven
       will  result  in  doubling  of  spending  on  relevant  automation,  resulting  in  over  25%  operating  expense
       governance and compliance staff in APEJ.            (OpEx) savings in APEJ.
       #4: Localized data processing: By 2022, reflecting the  “Businesses  across  many  industries  are  actively
       need for localized data processing and enabled by 5G,  looking for partners and practices to effectively harness
       30%  of  endpoint  devices  and  systems  will  contain  AI  predictive  analytics  and  AI,  while  the  two  topics  on
       algorithms,  driving  2/3  of  the  total  annually  shipped  predictive  analytics  and  AI  will  increasingly  converge.
       compute power in APEJ.                              Initiatives  associated  with  these  two  topics  will  face
                                                           similar  set  of  challenges  that  encompass  data
       #5: UI redesign: By 2023, AI-enabled human computer  availability, accessibility, architecture and governance,”
       interfaces and business process automation will replace  said Jessie Danqing Cai, Senior Research Manager for
       a  third  of  today's  screen-based  B2B  and  B2C  Big Data and Artificial Intelligence at IDC Asia Pacific.
       applications in APEJ.                               “Many  of  these  challenges  go  beyond  data  science,
                                                           and  it’s time to invest in an extended  portfolio of new
       #6:  Event-driven  architecture:  By  2022,  50%  of  new   expertise  that  covers  deep  industry  knowledge,  to
       spending  in  analytics  will  use  an  event-driven   promote inter-company sharing  and collaboration, and
       architecture  and  streaming  pipelines  to  ingest  data,   to  manage  changes  in  legal,  ethnographic  and
       process  it,  evaluate  and  score  predictions,  make   operational behaviour.
       decisions and initiate actions in APEJ.
                                                           These strategic predictions for the Asia Pacific market
       #7 Multi-model databases: By 2023, growth in demand   are  presented  in  full  in  the  following  report:  IDC
       for  the  management  of  data  in  multiple  formats  will   FutureScape:  Worldwide  Analytics  and  Artificial
       cause spending  on multi-model databases to represent   Intelligence 2019 Predictions – Asia/Pacific (Excluding
       25%  of  the  spending  on  NoSQL  databases  in  APEJ.   Japan) Implications (#AP43418318).

       #8 AI training data: By 2023, synthetic AI model training  To learn more about other IDC FutureScape reports on
       data,  created  using  small  amounts  of  actual  data  and  the  latest technology  and  industry  predictions for WW
       large  amounts  of  simulated  data,  will  be  available  via  and the Asia/Pacific region, please visit FutureScapes
       data  markets,  doubling  new  AI  models'  development  Reports Library. ◊
       speed in APEJ.
                                                                                             By MediaBUZZ
       #9  Affective  AI: By 2023, affective computing (emotion
       AI) will include vision and voice technologies and see an
       increase of 20% in real-world application in APEJ.

                                                 MediaBUZZ Pte Ltd - Independant ePublisher for Asia
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