Global Market Opportunities and Challenges on Convergence of AI and IoT – Featuring ENEL, FogHorn & GE Capacitors Among Others

Dublin, March 24, 2020 (GLOBE NEWSWIRE) — The “Convergence of AI and IoT – Market Opportunities and Challenges, 2019” report has been added to ResearchAndMarkets.com’s offering.IoT-AI convergence can deliver new advantages in terms of process automation enablement. It also facilitates proactive approaches such as the ability to predict undesired conditions and situations that may occur in the environment in which the IoT solution is deployed. Organizations can benefit from the convergence of IoT and AI if they are data ready and security proofed and has a sound digital transformation strategy that embraces emerging technologies.The state of development of IoTAn overview of Artificial Intelligence?Architecture and deployment scenariosAdoption levelsMarket landscapeThe convergence of IoT and AI is in an early stage, but the pace of adoption will accelerate in the period 2019-2022. Designing and deploying IoT-AI-based solutions requires a small deployment-test-scale’ approach, where AI specialists can play an important role.Key Topics Covered: Key Findings2. State of Development of IoTIoT Device Adoption by SectorNext Phase of IoT – PredictionConvergence with Emerging Technologies3. What is Artificial Intelligence?Artificial Intelligence as a Framework of TechniquesProcess of Reasoning and Decision MakingProcess of Learning and Machine Learning4. IoT-AI Convergence – Architectural View and Deployment ScenariosRole of AI System in an IoT EnvironmentReal-time Action and Prediction Capability of an AI SystemArchitectural View of IoT-AI ConvergenceDeployment Scenarios – Cloud-based AI-IoT Convergence ModelDeployment Scenarios – Edge-based AI-IoT Convergence ModelDeployment Scenarios – Hybrid AI-IoT Convergence Model5. IoT-AI Convergence – AdoptionAdoption by Sector – Qualitative AssessmentCase Study – GE Capacitors and FogHornCase Study – CSOT Quality Control and IBMCase Study – ENEL and C3.aiCase Study – Infotainment Electronic Consoles Manufacturer and Bright MachinesCase Study – Oil Platform Operator and SparkCognitionDrivers for AdoptionChallenges of AdoptionDeveloping an AI Project – Process and CostsIoT-AI Project Investment Assessment6. IoT-AI Convergence – Market LandscapeIoT-AI Convergence – Complex EcosystemIoT Side of the EcosystemIoT-AI Side of the Ecosystem7. Growth Opportunities and Companies to ActionGrowth Opportunity 1 – Empowering Digital Transformation in Industrial SectorsGrowth Opportunity 2 – Empowering Digital Transformation in the Utility SectorGrowth Opportunity 3 – Attention on Citizen-oriented Areas for a Mid-term OpportunityGrowth Opportunity 4 – Developing a Global IoT-AI StrategyGrowth Opportunity 5 – Innovation via Scouting and AcquisitionStrategic Imperatives for Success and Growth8. Key TakeawaysLegal Disclaimer9. AppendixList of Exhibits10. The Publisher’s StoryValue Proposition: Future of Your Company & CareerGlobal PerspectiveIndustry Convergence360 Research PerspectiveImplementation ExcellenceOur Blue Ocean Strategy
Companies Mentioned
Bright MachinesC3.aiCSOT Quality ControlENELFogHornGE CapacitorsIBMInfotainment Electronic Consoles ManufacturerOil Platform OperatorSparkCognition
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