Artificial intelligence (AI) is the process in which the machines and software solutions are created to be smarter and think as humans do. These smart machines were to replace humans and be more efficient at the job. Robotics, driverless cars, etc. are some famous examples of AI.
Though we are yet to fully tap into the potential of AI, the applications are doing their bit to help employees complete their work faster. This, in turn, is increasing the overall productivity of the enterprises and brining more returns. Enterprise AI tools have gained a lot of popularity in recent times.
It is not entirely surprising that not all enterprises are being successful in this endeavour. Simply using the tools without planning or understanding is the main reason why businesses are failing and are becoming wary of using artificial intelligence.
The first step is to identify which among the existing systems are going to be a good fit for AI tools. Enterprises can contact a reliable AI consulting company for assistance from the very first step. This will also minimize the risk involved in the process.
The following are some of the enterprise AI tools that most businesses would require.
Natural Language Processing (NLP) and Semantic Search
Semantic search and NLP in general terms deal with how the search engines process a search request using not just the keywords but also their variations, synonyms, and other related factors. When it comes to using it in an enterprise, semantic search is used to identify the knowledge graphs and help find the data the employees are looking for. It streamlines data flow throughout the enterprise and brings flexibility to the system.
Augmented Classification of Data
This essentially deals with categorizing documents and files based on the content present in them. Separating and encrypting confidential files, routing support and compliant tickets and prioritizing them, responding to emails or sending reminders about follow up emails, assisting with sending a relevant response to a mail, etc. are some ways in which data is categorized and classified throughout the enterprise.
Automation and Data Governance
The process of data classification can be automated to save time and minimize errors. Auto-tagging, routing, organizing, adding data to relevant files, removing duplicate data, providing options to filter and sort the data to create different reports, providing data security, assisting with risk management and data compliance, etc. are ways in which enterprise AI tools help handling the vast data and information scattered throughout the enterprise.
Using Recommender Systems
The job of recommender systems is to define the relationship between the user and the information existing in the system. By understanding what the user needs, how the information will impact their activity/ decisions, the data is collected and shared with them. It is usually done by tracking behavioural patterns. Machine learning, data mining, and creating patterns on a large scale will help enterprises get comprehensive insights about customer purchase preferences and can help in future predictions about the market.
Using enterprise AI tools and applications require related software, hardware, and skills. It needs the IT infrastructure of the enterprise to be synced with the skill levels of the employees. The AI consulting company can help enterprises in training employees to use the tools the right way.
Ignoring either of the aspects can result in the enterprises failing to implement artificial intelligence and missing out on opportunities to save on cost and time. Enterprises can contact the reputed AI companies in the market for more information about how to successfully choose and implement AI in the business.