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    • Internet of Things
    Editor's Pick (1 - 4 of 8)
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    Digital transformation - Gaining Momentum in Operational Technology (OT)

    Martin Schlatter, CIO and Regional CEO, APAC, NTT Security

    Connecting dots the IOT way!

    Sunil Singh, Regional Chief Information Officer, Coca-Cola Beverages Vietnam

    Disrupting the Automotive Industry through Digitalization

    Esteban Remecz, CIO, Asia Pacific, ZF Group

    Simplifying Deployment and Management of Branch Office Networks

    Ari Bose, CIO, Brocade

    Internet-of-Things: The Rise of Connected Businesses and Connected Lives

    Harnath Babu, CIO, KPMG India

    How IOT is Driving Competitive  Advantage to Asian Supply Chains?

    Steve Walker, CIO, DHL Supply Chain Asia Pacific

    Embracing Advanced Tech-enabled Solutions that Foster Innovation and Growth

    Steven Weinreb, CIO & EVP, Technology & Operations, Asia, MetLife

    Edge Computing and the Keys to Unlocking IoT in Asia Pacific

    Robert Linsdell, Managing Director Australia and New Zealand, Vertiv

    right

    AI: The Building Block of Intelligent IoT

    By Apac CIO Outlook | Friday, December 27, 2019
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    Using the combination of big data, analytics, and machine learning, the internet of things (IoT) and artificial intelligence (AI) together are transforming every industry. AI is playing a key role in IoT applications and deployments, because of its ability to quickly extract insights from data. AI technologies like machine learning, speech recognition, and computer vision can extract insights from data, automatically identify patterns, and detect abnormalities in data. The effective combination of AI and IoT helps companies avoid unplanned downtime, increases operating efficiency, enables new products and services, and enhances risk management. IoT coupled with AI forms the foundation for improved and entirely new products and services. A number of applications pairing IoT with AI like self-driving cars and smart thermostat solutions help better understand and predict a variety of risks as well as automate the systems. Organizations are incorporating AI and IoT to determine regular access patterns of different tiers of employees or roles, providing insights for future office layouts, and detecting suspicious activity. This enables them to better manage worker safety, financial loss, and cyber threats.

    For enterprises, integrating AI and IoT with their systems gives them a competitive edge in business performance. For instance, in the automotive industry, for connected-cars, BMW’s CarData platform gives drivers access to data shared by vehicle owners and AI capabilities from IBM Watson IoT. In consumer products and retail, replenishment automation and optimization solutions use machine learning to predict demand and optimize inventory levels. Telematics solution providers are integrating machine learning into the auto-insurance industry to create accurate risk models and predict claims behavior.

    With the growing demand for IoT and AI-based services, investments in SaaS and other big data technologies are increasing. Fostering better offerings, productivity, and operations, AI is set to enhance the value of IoT deployments, thereby providing a competitive edge to companies.

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