IT, as a field, has evolved over the years and so has Surya Systems.
Data Science utilizing Artificial intelligence and Machine learning today aims to automate the mundane activity in everyday work. It has revolutionized various industries by introducing Electronic Virtual Assistants, tools to analyze insights of various professionals like stock traders, healthcare professionals and several others.
Professionals of this stature often rely on it as it has proven itself worthy in multiple ways:
- Has proven to have a high level of accuracy in its functioning.
- Has proven its ability in converting information to knowledge in no time which has served as an added advantage for error free inferences.
- Has proven as an investment that reaps benefits for a prolonged period of time.
- Constant research in AI has always promised and delivered better services to make business in any industry a dynamic playfield.
- Every upgrade has paved the way to innovation as it puts human resources off of repetitive, mechanical work
- Has been serving as a catalyst that ensures growth in the desired path.
Each industry and organization has specific needs that Artificial Intelligence addresses. Let’s set up an initial discussion to see how we can help your organization.
Data Science in Industry
Data science using Artificial Intelligence (AI) technology is optimizing flight operations and impacting the overall Aviation industry. Airlines are implementing AI and other emerging technologies to offer personalized services and enhance customer experience. The aviation industry leverages AI with Machine Learning, Computer Vision, Robotics, and Natural Language Processing. Key solutions include – Predictive Maintenance, Pattern Recognition, Auto-Scheduling, Passenger Identification, Baggage Screening, Customer Support, Targeted Advertising, and Customer Feedback analysis to improve overall customer experience.
Artificial Intelligence is banking’s future with its powerful use of advanced data analytics to combat fraudulent transactions and improve compliance. Data scientists are using AI to provide anti-money laundering activities in a few seconds rather than hours and days. AI allows banks to manage huge volumes of data at record speed to derive valuable insights. Features such as AI bots, digital payment advisers and biometric fraud detection mechanisms lead to higher quality of services to a wider customer base. AI is strengthening competitiveness of banks through: Enhanced customer experience, Prediction of future outcomes and trends, Realistic interactive interfaces, Enhanced decision-making, Robotic automation of processes.
Energy & Utilities
From data collection and analysis to the presentation of actionable insights, AI and ML algorithms are quickly redefining how utility companies manage their electric infrastructure.AI and ML tools can scan thousands of images collected across thousands of miles of utility infrastructure in seconds. When paired with drone sensors, these algorithms can also improve the upfront data collection. and help adjust the sensor systems’ positioning in real-time. AI allows the utility industry to rely less on manual inspections, and provides a more efficient and effective tool for delivering the right information about a power company’s infrastructure — its transmission and distributions lines, poles, and nearby vegetation — into the hands of its key decision-makers.
Data science in health care helps doctors and hospitals access vast data sets of potentially life-saving information through artificial intelligence. This includes treatment methods and their outcomes, survival rates, speed of care gathered across millions of patients, geographical locations, and innumerable health conditions. New computing power can detect and analyze large and small trends from the data and even make predictions through machine learning that is designed to identify potential health outcomes.
From significant cuts in unplanned downtime to better designed products, manufacturers are applying AI-powered analytics to data to improve efficiency, product quality and the safety of employees. Predictive maintenance has become a must-have solution for manufacturers who have much to gain from being able to predict the next failure of a part, machine or system. It uses advanced AI algorithms in the form of machine learning andartificial neural networks to formulate predictions regarding asset malfunction. This allows for drastic reductions in costly unplanned downtime, as well as for extending the Remaining Useful Life (RUL) of production machines and equipment.
Currently, insurance companies are using AI and machine learning to automate certain parts of the claims handling process and improve customer service. There are dozens of processes that could be greatly improved using AI, and over time, more insurance providers will implement the technology across their business. Some of the applications that can benefit most from AI include pricing, claims handling and fraud detection.
Nearly every telecommunications company uses artificial intelligence and machine learning to improve its customer service primarily by using virtual assistants and chatbots. Telecoms get a massive number of support requests for set up, installation, troubleshooting, and maintenance. Virtual assistants automate and scale responses to these support requests, which dramatically cuts business expenses and improves customer satisfaction. Additionally, AI can aid the telecommunications industry with predictive maintenance, improving network optimization, fraud detection, and predictive analytics.