Discover the what, why, how, and where to start with delivering on the potential of real-time data, AI + IoT platforms and solutions: download our eBook.
With the rapid expansion of technology and improvements in connectivity, businesses today are constantly looking for ways to stay competitive, enhance efficiency, and optimise their operations.
By reading this whitepaper, you'll gain insights into the market landscape, trends, and applications of IoT, as well as an understanding of how to develop an implementation roadmap that incorporates real-time data, machine learning, and AI.
Covered in 'Harnessing IoT, AI, and Real-Time Data in Businesses: A Comprehensive Guide':
Understanding IoT in business
- The complete IoT technology stack.
- What are the different types of IoT platforms and which one do I need?
- What’s the difference between Industrial IoT (IIoT) and IoT?
The power of real-time data access and analysis
- Common sources and types of real-time data.
Machine Learning and Artificial Intelligence (AI) in IoT
- Key machine learning techniques for IoT applications.
- Role of AI in data analysis and decision-making.
- How to incorporate machine learning and AI into IoT solutions.
- Benefits of incorporating machine learning and AI into IoT solutions.
Market landscape and trends
- Key trends in the IoT industry.
- Innovative applications of IoT technologies.
Real-world applications
- Potential industrial IoT use cases.
Selecting a platform
- Scalability and flexibility.
- Security and compliance.
- Data integration and management.
- Predictive analytics, Machine Learning and AI integration.
- User interface and visualization.
Developing an implementation roadmap
Automation and AI for future performance improvements
- The role of automation in IoT solutions.
- Predictions for AI-driven industrial automation.
- Opportunities for performance optimisation.
- Challenges and considerations for AI and automation adoption.
- Future outlook and AI recommendations.
Measuring ROI and Key Performance Indicators (KPIs)
Quantifying benefits and cost savings.
- Monitoring performance metrics and KPIs.
- Analysing data for continuous improvement.
- Identifying new opportunities for IoT integration.
