Tag: AI

Feed: Neo4j Graph Database Platform. Author: Angela Zimmerman. By Sixing Huang, Derek Ding, Emil Pastor, Irwan Butar Butar, and Shiny Zhu Supported by Maruthi Prithivirajan, Joshua Yu, and Daniel Ng from Neo4jBig data, machine learning, cloud, and graph databases are transforming the healthcare industry. A vast amount of relation-rich medical data is stored in graph databases on the cloud and processed by machine learning. As a result, we gain a deeper understanding of the human body. This knowledge will lead to better prevention, more accurate diagnoses, and more effective treatments. The technological advance also democratizes healthcare. It not only lowers ... Read More

Feed: Radar. Author: Mike Loukides. Every year starts with a round of predictions for the new year, most of which end up being wrong. But why fight against tradition? Here are my predictions for 2022. The safest predictions are all around AI. Learn faster. Dig deeper. See farther. We’ll see more “AI as a service” (AIaaS) products. This trend started with the gigantic language model GPT-3. It’s so large that it really can’t be run without Azure-scale computing facilities, so Microsoft has made it available as a service, accessed via a web API. This may ... Read More

Feed: Top Blog Posts. Author: Pragati Pa. The exchange of data between corporations is known as data monetization. It is the process of earning income or creating new revenue streams by utilizing data, which is estimated to support expansion of the global data monetization market. Direct data monetization as well as indirect data monetization is the two forms of data monetization. The sale of raw data is known as direct data monetization. Companies are making income directly from the sale of data in this scenario. Selling a company's analysis, bartering or trading data, and implementing one or more APIs are ... Read More

Feed: Top Blog Posts. Author: Pragati Pa. The exchange of data between corporations is known as data monetization. It is the process of earning income or creating new revenue streams by utilizing data, which is estimated to support expansion of the global data monetization market. Direct data monetization as well as indirect data monetization is the two forms of data monetization. The sale of raw data is known as direct data monetization. Companies are making income directly from the sale of data in this scenario. Selling a company's analysis, bartering or trading data, and implementing one or more APIs are ... Read More

Feed: Neo4j Graph Database Platform. Author: Angela Zimmerman. In this blog post, we’re going to show you how to use two technologies together. Google Cloud Vertex AI is a platform for building, scaling, and deploying machine learning models. Neo4j is the leading graph database. Together, these technologies can be used to build and deploy graph-based machine learning models. The code underlying this blog post is available in a notebook here. Why Should You Use Graphs for Data Science?Many critical business problems use data that can be expressed as graphs. Graphs are data structures that describe the relationships between data points ... Read More

Feed: Top Blog Posts. Author: ajit jaokar. AI is a complex subject and hard to learn Often, in the early stages, people make mistake such as  a)  They try to learn everything b)  They do not know in which order to learn  c)  They go to deep into one subtopic initially Hence, I created a minimum viable learning framework for self learning AI (machine learning and deep learning) Because its concise and its minimal, it does not include topics like GANs. Reinforcement learning etc. tt also does not cover Bayesian approaches n detail However, this syllabus should get you to about ... Read More

Feed: Top Blog Posts. Author: ajit jaokar. AI is a complex subject and hard to learn Often, in the early stages, people make mistake such as  a)  They try to learn everything b)  They do not know in which order to learn  c)  They go to deep into one subtopic initially Hence, I created a minimum viable learning framework for self learning AI (machine learning and deep learning) Because its concise and its minimal, it does not include topics like GANs. Reinforcement learning etc. tt also does not cover Bayesian approaches n detail However, this syllabus should get you to about ... Read More

Feed: Top Blog Posts. Author: ajit jaokar. AI is a complex subject and hard to learn Often, in the early stages, people make mistake such as  a)  They try to learn everything b)  They do not know in which order to learn  c)  They go to deep into one subtopic initially Hence, I created a minimum viable learning framework for self learning AI (machine learning and deep learning) Because its concise and its minimal, it does not include topics like GANs. Reinforcement learning etc. tt also does not cover Bayesian approaches n detail However, this syllabus should get you to about ... Read More

Feed: Top Blog Posts. Author: Pragati Pa. The exchange of data between corporations is known as data monetization. It is the process of earning income or creating new revenue streams by utilizing data, which is estimated to support expansion of the global data monetization market. Direct data monetization as well as indirect data monetization is the two forms of data monetization. The sale of raw data is known as direct data monetization. Companies are making income directly from the sale of data in this scenario. Selling a company's analysis, bartering or trading data, and implementing one or more APIs are ... Read More

Feed: Top Blog Posts. Author: Pragati Pa. The exchange of data between corporations is known as data monetization. It is the process of earning income or creating new revenue streams by utilizing data, which is estimated to support expansion of the global data monetization market. Direct data monetization as well as indirect data monetization is the two forms of data monetization. The sale of raw data is known as direct data monetization. Companies are making income directly from the sale of data in this scenario. Selling a company's analysis, bartering or trading data, and implementing one or more APIs are ... Read More