Future Industrial Applications with Data Science

Future Industrial Applications with Data Science

Sun Technologies’ Data Science and AI & ML Services

Most organizations are transforming their legacy business with modern technologies, which created a need to study the data from multiple sources. This need made the organizations adopt the data science concepts in their business to evaluate large data sets and provide significant insights to the organization's leaders. These concepts have become essential and fuel for most of the organizations today.

Data Science has become the global trending technological concept and has shaped the new world.

Many industries benefit from the Data Science concepts by better understanding customer behaviors, market opportunities, forecasting, and business insights. But it is also believed that Data Science has a long future to explore various industrial applications to enhance business insights and decision making and also revolutionize a new connected world.

In constants to that, below is a brief overview of a few top future industrial applications with Data Science concepts.

Healthcare and Life-Science Organizations operating in the healthcare and life-science industry will have huge sets of data from multiple sources. This data can help their organizations study advanced diseases and genetic probabilities and be future-proof with the pre-formulated vaccines, expanding medical facilities when required, and many more. But they are a few key areas where the concepts of data science will give a major contribution below: Image Analysis and Diagnosis: With the help of data science combined with image recognition tools, the captured images by MRIs, X-rays, and CT scans can be studied better and help doctors diagnose various diseases at early stages automatically with different methods and frameworks. By this, the healthcare organization can provide suitable treatment to the patient and increase human wellbeing.

Drug Discovery and Development: Drug discovery and development usually involve a lot of time and money, but with data science and analytics, the organization can study the diseases with automated probability and significantly shorten the process.

Cybersecurity As most organizations are transforming their legacy systems to digital, organizations are facing a lot of cyber-attacks and intruder logins. Currently, organizations are identifying the cyber-threads with different approaches like Machine Learning algorithms, Penetration Testing and Behavioral Analytics.

In the near future, by adopting data science concepts, organizational leaders can study and automate the search of the patterns for any anomalies and also help early identification of cyber threats and provide security in different ways and prevent data breaches.

Banking and Financial Services Intuitions (BFSI) Data science is playing a key role in automating various tasks, including risk analysis in banking and finance organizations. With a deep dive into data science and Machine Learning, the BFSI organizations can achieve the highest quality in banking by fully automating the banking and finance decision-making process for the customer and within the intuitions.

Also, by adopting Artificial Intelligence, Machine learning, and Natural Language Processing with data mining, the BFSI organizations can transform the information much smarter by helping to increase profitability and customer satisfaction.

Digital Marketing and E-Commerce Currently, digital marketing and E-Commerce organizations are using data-driven methods to create, access, manage, store, and analyze the data gathered from multiple sources. This collected data is also further processed to generate predictions and future behaviors, which can help organizations to make decision with deep understanding of their core market to set the price of the product and cost-benefit analysis.

But the future of data science in digital marketing and E-commerce organizations is going a step ahead with concepts like Machine Learning and NPL, which can give a high-level real-time analysis of texts and online surveys. Also, help organization leaders in enhancing the campaign activities by identifying customer base, forecasting goods and services, and optimizing pricing structures with various parameters like customer profile, location, service availability, and service customizations.

Conclusion Every business needs data to move forward, and it is an essential aspect of any organization today.

While data science is a vast field, it offers immense opportunities for organizations to transform and make better decisions that can directly contribute to an increase in revenue. Many organizations are investing in data science concepts and related technologies to gain critical insights into most of the available data.

Partnering with data-driven organizations can help them achieve goals at a 5X faster rate with the emerging technologies. Our 2+ decades of expertise in Artificial Intelligence and Machine Learning with Deep Learning, Data Scraping, and Robotics Process Automation can help your organizations to solve complex business problems and move faster by delivering faster results. So, what are you waiting for?

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