Artificial intelligence is one of the newest innovations in the tech industry. The deciding factor for whether a tech company will be successful in the near future is if it can adapt to this cutting-edge technology. A team of AI specialists is needed in order to operate machine learning systems used in the data analysis of the future. The success of a data science team requires knowledge of the role of each member of this team. Data engineers, data analysts, data scientists, machine learning engineers, and deep learning engineers all make up a robust data science team. 

Inside an AI team, data analysts organize the data created into a product that can be used to further a company’s objectives. The data analysts use tools like IBM analyst’s notebook to make sense of a large data set. Data engineers polish the raw data and give that data over to the data scientists. Data scientist are like data analysts. They apply predictive techniques to a data set by using machine and deep learning to create a data model. This model is used as a blueprint for an AI system. The machine learning engineer takes that model and applies machine learning techniques to make a data pipeline for the company to spit out fast and accurate analysis. A deep learning engineer refines the pipeline. Deep learning engineers do this by creating AI neural networks similar to how humans think to improve the results of the data pipeline.

All of these roles are deeply complex and having a clear plan on how this team can benefit your business is important. It is so important that it can completely transform a business. The AI/ML industry is only projected to grow. Many firms have already become part of the innovation and invested in artificial intelligence. This trend will only increase as AI begins to integrate into many facets of industry. In order to seize this innovation a properly coordinated data science team is essential.

With the implementation of AI in business on the immediate horizon, firms need an easy way to break into the machine learning realm. To do this it is important to partner with firms that already have the know-how. Praescient not only has that know how, but it has the ability to teach that know-how. The team of engineers at Praescient works to build custom products leveraging AI to solve challenging data problems. Praescient is also a value-added reseller of AI/ML workflow and advanced analysis products such as Siren, AppTek, and Rosoka. The Intelligence Community and Department of Defense are partnered with Preascient to utilize the advanced analytical power of A2S. A2S is specialized to manage the information lifecycle with data collection, ingestion, normalization, and analysis to keep decision makers informed. The demand for AI expertise will never go away and Praescient will be there to fill it.