The Two Key Trends Of AI In Biotechnology

The digital transformation accomplished with the Full Microsoft Suite provides you with data in real-time to make smart and actionable business decisions to spur company growth.

FREMONT, CA: The biotechnology industry has different sub-sectors ranging from human life sciences, food industry, agricultural biotechnology, animal biotechnology, and industrial applications. These branches can all leverage the advancements in artificial intelligence and machine learning-related applications developed in the last decade, comprising AI trends that will transform the biotechnology industry listed below.

Here are two key AI trends that will transform the biotechnology industry

1. Open Source AI Platforms: Faster Data Analysis

Scientists around the globe are looking at AI programs that can acquire the tedious nature of data maintenance and analysis. Tasks such as gene editing, enzyme compositions, chemical studies, and critical informatics are examined systematically for faster and more precise results. Open-source AI programs like CRISPR libraries and H2O.ai play an essential role by relieving lab assistants of recurrent tasks like data entries and analysis. By eradicating manual functions for healthcare providers and scientists, they can better focus their efforts on innovation-driven processes. It will be possible with the application of AI in biotechnology.

2. Facilitating Global Connect: Sharing Biotechnology Developments Worldwide

AI platforms are ingenious in letting global scientists access imperial data regarding newer drugs and other industrial developments. Many machine learning tools assist scientists in decoding data and understanding patterns of a specific disease in a far-away country and using it to build analytical models for their geography. Various folds have enhanced the precision of scientific models after the initiation of AI in Biotech.

While these are the main trends, AI and related tools are helping to transform the biotechnology industry in several ways. Coming times will see the benefit of artificial intelligence in biotechnology for the betterment of humankind by the progress it facilitates in biosciences and technologies.

The power of consolidation of Microsoft’s AI with Microsoft Dynamics 365 supports biotech companies get over the industry’s pressing challenges. Hindrances, like resource management, stringent regulations, quality management, etc., establish seamless workflow by guaranteeing unified data sharing, visibility, and connectivity across different channels and operations so that teams communicate better.

This collaboration with the use of AI in biotechnology supports your company to

- Achieve regulatory compliance

- Obtain visibility into your supply chain management

- Track and handle your inventory with accuracy, and

- Integrate industry best practices for remedial and preventive action

Lastly, the digital transformation accomplished with the Full Microsoft Suite provides you with data in real-time to make smart and actionable business decisions to spur company growth.