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      BIGIT 2019, THE 7th Annual Data Science Show in Kuala Lumpur

      • BIGIT 2019, THE 7th Annual Data Science Show Photo #1
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      September 24, 2019

      Tuesday   8:00 AM

      2, Jalan Stesen Sentral, , Kuala Lumpur Sentral
      Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur

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      BIGIT 2019, THE 7th Annual Data Science Show

      BIGIT2019, the 7th Annual Data Science Show In the last 2-3 years, we witnessed big data analytics steadily knocking down inflated expectations and disillusionments to ultimately begin their journey toward high-value, mainstream adoption. The BIGIT2019 theme - The Rise of the Data-Driven Organization - aptly describes the current state of big data adoption in Malaysia. We are beginning to discover many impactful advanced analytics- and AI-driven products and solutions that are catalysts to organizational transformation. Yes, we are referring to increased revenues, higher efficiencies and reduced costs. Come join us for BIGIT2019 to learn how advanced analytics is exploited for gains in key sectors. Listen to how AI will find the next oil well. Be speechless by how credit card companies exploit AI to brainwash you into parting with your money. Be reassured by how AI will produce more jobs than ever. MALAYSIA AI BLUEPRINT 2019 For the first time in all of BIGIT’s conferences, we will present the Malaysia AI Adoption Blueprint 2019. This blueprint is an evaluation of the current AI maturity in Malaysia across key industries, in terms of people, process, technology and data. The study was conducted with relevant senior executives and combined with analysis and insights from Asian Data Science and BIGIT’s data strategy team.  The objective of the Malaysia AI Adoption Blueprint 2019 is to catalyze and continue spurring the adoption of AI in the country to improve the nation’s competitive position. Major findings of the blueprint will be revealed in the keynote of BIGIT 2019. A copy of the blueprint will also be distributed to all participants. Find out more at; or contact us at +603 2261 4226 or

      Categories: Science

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