The Future of CRM: Innovations from YASH Technologies at Dreamforce 2024
Join YASH Technologies at Dreamforce 2024 to explore the latest CRM innovations that simplify customer relationships. Don’t miss out on the future!
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Aligning Sustainability with Digital Transformation in Business
Transform your business sustainably! Explore strategies that blend digital innovation with eco-friendly practices for lasting success. -
Fueling Change: Houston’s Oil & Gas Industry Adopts a Green Future
Learn how Houston's oil and gas industry is shifting to green solutions. Stay informed and see how this impacts the future of energy. -
SAP Application Management Services (AMS) trends we see dominating 2024
Explore 2024's SAP AMS trends transforming businesses. Get insights and strategies to optimize your SAP management. Start enhancing your performance! -
Transforming Workplace Safety with Emerging EHS Technologies
Transform safety at work with emerging EHS tools. Find out how easy changes can create a safer environment for everyone. -
How hyperautomation is underwriting the future of risk streamlining in insurance
Explore how hyperautomation helps insurance companies handle risks better and faster. See the benefits for your business today! -
Real-world impact and applications driven by Generative AI in 2025
Explore Generative AI's role in shaping solutions across sectors. Understand its practical uses and how it's making a difference. Join us! -
Banking on RPA: Payment disputes resolution as a pathway to deep customer relationships
Making the most of disputes with RPA - Turning dispute compliance from weakness to strength.RPA deployment in banks has led to a dramatic reduction in the dispute resolution cycle and human errors, boosting operational efficiencies, and improving the overall customer experience. -
Generative AI and the Transformative Future of Work
Explore how generative AI is reshaping the future of work and unlocking new possibilities. Discover the benefits and applications of generative AI in various industries. -
Building a spam messages detector using Machine Learning
Creating a simple Spam Messages Detector using Logistic Regression. Logistic regression is a simple method of classifying data — be it hot or not hot, spam or not spam. -
Writing Logistic Regression from Scratch
In Machine Learning the best way to learn it is to write all common algorithms from scratch — without using any libraries like Scikit. -
Using NLP for classifying Job posts
Overview of natural language processing, its applications and how we can build the NLP model to solve some real-world problems.