Artificial Intelligence (AI) and Automation is the application or combination of algorithms, custom coding and specialized platforms (software/hardware), to perform tasks – and sometimes entire processes that usually require human analysis and intelligence.
AI and Automation capabilities often work together to reduce business process times, increase the accuracy of work, and free up human resources to contribute their creativity as a value-added part of an organization. Global ICT provides a wide variety of services and products in the field of data science and Artificial Intelligence.
Some of these products and services enable your enterprise to incrementally and continuously build a powerful and insightful knowledge graph, producing data from “as-is” to curated, meaningful and actionable data for your organization.
Some of the key features of AI includes:
Traditional and non-traditional AI technologies are being used almost in every industry to enhance the current status quo and business process; here are some examples of industries’ use of AI:
Financial Services
AI capabilities in financial services risk analytics include machine learning algorithms that can identify patterns in large datasets, natural language processing to interpret customer feedback and sentiment analysis, and predictive analytics to anticipate future trends and fraud detection.
Healthcare
AI in Healthcare analytics to improve patient outcomes, reduce costs, and increase efficiency. For example, AI can be used to identify patterns in medical data that can help predict diseases and recommend treatments. AI can also be used to automate administrative tasks such as scheduling appointments or managing medical records. Finally, AI can be used to monitor patient health and provide personalized care plans.
ESG Industry Agnostic
AI is being used to analyze Environmental, Social, and Governance (ESG) data in a variety of ways. For example, Oracle recently released a data analysis tool that provides a deep dive into the Tottenham Hotspur Football Club’s sustainability efforts. The tool uses AI to analyze the club’s Environmental, Social, and Governance (ESG) performance and identify areas for improvement. Additionally, AI is being used to analyze satellite data from NASA to address climate change. A key distinguishing feature of foundation models is that they can work with unlabeled data. Early examples of foundation model AI have shown success in the analysis of satellite imagery data and other environmental data.
