Machine learning, a subfield of AI, has become a crucial component of developing tools and applications for data analysis and decision-making in the digital age.
IIoT-Driven Transformation: Boosting Industrial Efficiency & Innovation
This paper discusses the transformative potential of the Industrial Internet of Things (IIoT) in enhancing operational efficiency and reducing expenses in plants and buildings. By leveraging wireless sensors, data collection, analytics, and machine learning, IIoT systems create a competitive advantage through improved interoperability and connectivity. We explore the factors driving IIoT adoption, the benefits it offers, and the different types of IIoT software. The paper also highlights Krasamo’s expertise in IoT consulting services and their comprehensive range of IoT offerings to help enterprises implement and benefit from IIoT systems.
Designing Machine Learning Systems for Business: Considerations and Best Practices
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Creating a Machine Learning Use Case: Steps and Considerations
This article discusses the steps and considerations for creating a machine learning use case to improve business processes. It explains the concept of machine learning and the importance of data quality and volume in creating accurate predictions. The article outlines the steps in creating an ML use case, including defining the problem, collecting and preparing data, defining product objectives and metrics, training and evaluating the model, and deploying the model. The article also discusses the types of ML problems and how to discover ML use cases in existing business processes. Overall, the article emphasizes the importance of understanding business problems and identifying opportunities to use ML to create enhanced solutions.
AI Consulting: Accelerating Adoption Across Business Functions
In today’s digital age, adopting AI solutions is crucial for businesses to gain a competitive advantage. However, many organizations lack the necessary data and machine learning (ML) skill set to create valuable AI solutions. This is where AI consultants play a key role, bridging the skill set gap and accelerating the adoption of AI across business functions. AI consultants help assess an organization’s maturity level and design a transformation approach that fits the client’s goals. They also promote the creation of collaborative, cross-functional teams with analytical and ML skills, and work on creating consistency in tools, techniques, and data management practices to enable successful AI adoption.
Building Machine Learning Features on IoT Edge Devices
Enhance IoT edge devices with machine learning using TensorFlow Lite, enabling businesses to create intelligent solutions for appliances, toys, smart sensors, and more. Leverage pretrained models for object detection, image classification, and other applications. TensorFlow Lite supports iOS, Android, Embedded Linux, and Microcontrollers, offering optimized performance for low latency, connectivity, privacy, and power consumption. Equip your IoT products with cutting-edge machine learning capabilities to solve new problems and deliver innovative, cost-effective solutions for a variety of industries.