One of the best American multinational tech companies, IBM, has launched a flexible and scalable platform for a one-to-many predictive analytics solution, which is popularly known as PASIR (Predictive Analytics for Server Incident Reduction). Predictive analytics was only present with statisticians and mathematicians for a long period in the industry. The emergence of AI, enhancing the tech-savvy world, has opened a new venture for predictive analytics. In this current scenario, more companies, as well as start-ups, have gained interest in predictive analytics to gain in-depth insights on the business against the competitors in the market.
Predictive analytics is in huge demand in the market due to the innumerable flow of real-time data, easy-to-use software, more availability of computers, and a major increase in tough competition to survive in the market. The primary purpose is to leverage large-scale real-time data to generate in-depth insights and forecast market trends. Predictive Analytics is the combination of traditional statistical methods and the data science field in AI. It is the perfect opportunity for all types of companies to harness AI at a large scale through embedding predictive analytics in their system. The data consists of current real-time data, raw text, diverse information, and historical data of the company to help in extracting in-depth insights with a significant degree of precision.
Exciting benefits companies can reap from predictive analytics
1. Rapid detection of fraud and cyberattacks
2. Determining consumer taste and preferences for market trend
3. Forecasting operations and inventory
4. Reduces the potential risks in the company
Which?
Banking and Financial Services, Retail sector, Oil and Gas pipeline, Government and Public sector also Health Insurance, etc. are some industries that are reaping the above benefits efficiently and effectively.
IBM is very popular in the worldwide market for its launch of the PASIR in 2013 to provide hassle-free service to over 360 global IT companies. The IBM Predictive Analytics provides a statistical model which can automatically uncover the correlated relationship between futuristic variables and existed server incidents only based on the historical data. The data science algorithm acts as a guide to monitor performance gaps between business applications and IT infrastructure. PASIR can be used in all smart devices supporting Windows, Mac, and Linux.
All these 360 companies are serviced by IBM support groups with these impressive functionalities:
1. PASIR provides relatable predictive analytics solutions to critical problems for a rapid decision-making process.
2. PASIR improves visibility and control over a distributed server infrastructure.
3. IBM provides user-friendly deep analytical power with an intuitive interface.
4. PASIR assists in taking strategic modernisation decisions related to cloud migration, hardware refresh and many more.
5. IBM allows an extensive library with AI machine learning algorithms and statistical analysis in a single platform.
6. PASIR permits open-source integration with software like R, Python and so on.
7. Hassle-free data analytics process— collection, planning, evaluation, analysis and reporting.
8. PASIR is useful to both beginners and professional data science analysts in establishing basic forecasts to improve business applications.
1. IBM SPSS Statistics
2. IBM SPSS Analytics Software
3. IBM SPSS Modeller
4. IBM SPSS Data Collection
5. IBM SPSS Predictive Analytics Enterprise
6. IBM Analytical Decision Management
7. IBM Social Media Analytics
The integration of AI machine learning with the statistical applications in the IBM Predictive Analytics may be expensive for any company to invest in but these lucrative applications are guaranteed to generate smooth in-depth insights, an added advantage over the competitors.
Join our WhatsApp Channel to get the latest news, exclusives and videos on WhatsApp
_____________
Disclaimer: Analytics Insight does not provide financial advice or guidance. Also note that the cryptocurrencies mentioned/listed on the website could potentially be scams, i.e. designed to induce you to invest financial resources that may be lost forever and not be recoverable once investments are made. You are responsible for conducting your own research (DYOR) before making any investments. Read more here.