Dataconomy

MAY 25, 2023

The integration of artificial intelligence in Internet of Things introduces new dimensions of efficiency, automation, and intelligence to our daily lives. Simultaneously, artificial intelligence has revolutionized the way machines learn, reason, and make decisions.

Internet of Things 160

Internet of Things Artificial Intelligence Artificial Intelligence AI 160

Data Science Dojo

APRIL 10, 2023

Data mining can help governments identify areas of concern, allocate resources, and make informed policy decisions. With the growth of the Internet of things (IoT) and the massive amounts of data generated by connected devices, data mining has become even more critical in today’s world.

Data Mining 195

Data Mining Data Mining Data Mining Algorithm 195

ODSC - Open Data Science

MAY 31, 2023

From there, a machine learning framework like TensorFlow, H2O, or Spark MLlib uses the historical data to train analytic models with algorithms like decision trees, clustering, or neural networks. Kai’s main area of expertise lies within the fields of Data Streaming, Analytics, Hybrid Cloud Architectures, and the Internet of Things.

Data Lakes 131

Data Lakes Machine Learning Machine Learning Apache Kafka 131

IBM Journey to AI blog

FEBRUARY 23, 2024

Rule-based chatbots : Also known as decision-tree or script-driven bots, they follow preprogrammed protocols and generate responses based on predefined rules. There are two main types of chatbots: AI-powered chatbots: Use advanced technologies to efficiently address basic queries, saving time and enhancing customer service efficiency.

AI 116

AI AI ML ML 116

Pickl AI

JUNE 6, 2024

Model Building & Training Once the data is ready, data scientists choose appropriate algorithms like regression analysis, decision trees, or machine learning techniques. However, raw data is often messy and needs cleaning and transformation to be usable.

Internet of Things 52

Internet of Things Data Scientist Data Quality Data Analysis 52

Dataconomy

FEBRUARY 24, 2023

Several algorithms are available, including decision trees, neural networks, and support vector machines. Existing and future technologies like big data, robotics, and the Internet of Things all have this as their major driver. This data should be relevant, accurate, and comprehensive.

Artificial Intelligence 91

Artificial Intelligence Artificial Intelligence AI AI 91

Pickl AI

JULY 14, 2023

Techniques such as decision trees, support vector machines, and neural networks gained popularity. Integration of AI with Other Technologies (ongoing): AI is increasingly integrated with other emerging technologies, such as Internet of Things (IoT), blockchain, and edge computing.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence AI AI 52