100 days from today would be December 31, 2023
LinkedIn
September 22, 2023
"You have 100 more days to finish this year strong!!!!!"
I would like to share a few encouraging tips to finish strong, to start strong.
#motivation #encouragement #finishstrong
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Tags: Health and Wellness, Leadership
How do you like to call yourself: A Leader or A Boss?
LinkedIn
July 25, 2023
Are you a Leader or a Boss...?
My aspiration to grow with a leadership style "Trust and Inspire."
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Tags: Culture, Digital Transformation, Leadership
Generative AI to drive Intelligent Customer Experience. Is Microsoft Fabric a solution?
Medium
June 15, 2023
In today’s scenario, Machine learning (ML) models play a significant role in accelerating customer-centric transformations for businesses. They can help businesses better understand their customers and deliver a personalized customer experience, which is becoming increasingly important in today’s competitive market.
Intelligent CX can increase ROI with AI-driven Copilot experiences by taking smarter actions more quickly, from creating new reports and consuming data to identify insights and even writing calculations to measure the impacts.
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Tags: Customer Experience, Generative AI, Predictive Analytics
Leading in the Age of AI
LinkedIn
April 27, 2023
AI/ML is redefining the business world and has changed the way the business operates. Leaders who embrace AI/ML and other digital transformation technologies can help increase success within their organization.
Leaders need the big-picture vision with AI Mindset understanding how AI/ML can transform business and lead to new business opportunities.
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Tags: AI, Leadership, Predictive Analytics
Women, dust the dirt and get up!
LinkedIn
March 08, 2023
Motivational thought on Women's Day 2023.
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Tags: Social, Health and Wellness
Glass Box ML Model: Microsoft’s InterpretML to explain a Telco customer churn model
Medium
February 14, 2023
A machine learning model not explained is equal to the model not built.
Every organization strive be data-driven in this digital transformation era. Data gathering and build machine learning (ML) models are the focus. ML is being used in every sector of business-like operations, IT Ops, marketing campaigns, sales, pricing and strategy, and customer service. For a machine learning model to be deployed and operationalized successfully, the explainability [Glass-box model] part plays an important role. The knowledge of understanding the actual features influencing the prediction at the overall level and per prediction increases the confidence of the stakeholders and the users.
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Tags: AI, Big Data, Predictive Analytics
Four Essentials to manage Data Science Projects Effectively
LinkedIn
November 15, 2022
Data science without effective management is like playing chess without knowing how to move your pieces.
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Tags: AI, Leadership, Project Management
Estimating business value based on the Loyalty economics linkage analysis
Medium
October 07, 2022
Data Science in customer experience(CX) can help companies to understand their customers in a hyper-personalized way. In today’s digital transformation, wealth of data can be handled in a better way by leveraging the machine learning and AI to create personalized recommendation for every single customer specific need along their journey.
Data driven organizations make use of their data with linkage analysis and deepen it with external signals to understand the underlying fact and develop predictive models that can alert with early signals and recommend actions that help to retain the customer and create personalized experiences.
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Tags: AI, Customer Experience, Predictive Analytics
Using Responsible Machine Learning To Drive Customer-Centric Insights
Lumen
July 22, 2022
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Tags: AI, Customer Experience, Predictive Analytics
Model based design of super schedulers managing catastrophic scenario in hard real time systems
2013 International Conference on Information Communication and Embedded Systems (ICICES)
February 21, 2013
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Tags: Emerging Technology
Critical task re-assignment under hybrid scheduling approach in multiprocessor real-time systems
The 23rd IASTED International Conference on Parallel and Distributed Computing and Systems, ~PDCS 2011
December 14, 2011
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Tags: Emerging Technology
Fault tolerant real time systems
International Conference on Managing Next Generation Software Application (MNGSA-08), Coimbatore, 2008
January 21, 2010
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Tags: Design Thinking, Emerging Technology, Innovation
PROACTIVE DETECTION OF CATASTROPHE TRENDS FOR RESCHEDULING REAL-TIME SYSTEMS WITH SCENARIO SHIFT
International Journal of Computer Science and Information Security (IJCSIS)
November 10, 2017
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Tags: Emerging Technology
Intelligent Real-Time Systems for Managing Catastrophe through Scenario Shift Paradigm
International Journal of Computer Applications, Foundation of Computer Science (FCS), NY, USA
November 02, 2015
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Tags: Emerging Technology
Advances in Scheduling Approaches in Real-Time Systems
The International Congress for global Science and Technology.- Journal of Automatic Control and System Engineering
October 01, 2015
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Tags: Emerging Technology
Effective Application of Catastrophe Theory in Real Time Systems for Scenario Shift Management
International Journal on Recent Trends in Engineering & Technology
July 01, 2014
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Tags: Emerging Technology
Predictive Analytics Models
Ramrao Adik Institute of Technology
December 09, 2020
Digital revolution has staged its position in today’s economic development. Data driven decisions drives the business goals. It changes the way business operates and delivers value to the customers. Machine learning and artificial intelligence are the key drivers in this digital transformation. Predictive analytics combines the variety of statistical techniques and machine learning algorithms to predict the future events based on the current and historical facts. The use of predictive analytics is a key milestone in this transformation in many applications like healthcare, finance, retail, telecom, transport, and banking. Logistic regression is one of the best algorithms that uses a mixture of continuous and discrete predictors to predict discrete variables. This webinar will demonstrate about a predictive analytics model to identify why a customer leaves and when they leave with reasonable accuracy using logistic regression classifier model.
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Tags: AI, Digital Transformation, Predictive Analytics
Machine Learning Conference MLConf, New York 2023
