The Silicon Review
The singularity is near, or maybe we're already in it. Whatever the case is, machine learning and big data will have a tremendous influence on our society. The machine minds are coming online, and you had better learn to adapt if you want to succeed. Machine Learning is the core subarea of artificial intelligence. It makes computers get into a self-learning mode without explicit programming. When fed new data, these computers learn, grow, change, and develop by themselves. The concept of machine learning has been around for a while now. However, the ability to automatically and quickly apply mathematical calculations to big data is now gaining a bit of momentum. The machine learning field is continuously evolving. And along with evolution comes a rise in demand and importance. There is one crucial reason why data scientists need machine learning, and that is: 'High-value predictions that can guide better decisions and smart actions in real-time without human intervention.'
TransOrg Analytics is a Big Data and machine learning solutions and services company transforming businesses. The firm uses data science to simplify, optimize, organize, and accelerate your business. TransOrg Analytics has built a scalable and cost-effective integration of 'Big Data' and 'Predictive Analytics. The idea is to help companies make better decisions by understanding the customer's needs through data analytics. By building intelligent and scalable solutions, they help their clients realize their short-term tactical and long-term strategic value. Its data scientists have creatively used open source technologies to develop a suite of productized services and industry-centric proprietary, predictive, and optimization models.
With the growing usage of Multi-channel Communication and Advertising, Conventional Analytics no longer offers an in-depth and astute picture. To keep pace in this modern era, with the changing digital and social media landscape, the firm has developed Advanced Analytics for building response and optimization models. The company's data scientists have deep expertise in designing and implementing fraud detection models that leverage the most innovative Big Data techniques such as predictive modeling and machine learning. The basis of their approach is to analyze your current fraud detection practices/techniques and to identify the bottleneck that needs to be addressed to reduce both fraud and error. The company's mission is to minimize your fraud rate and increase your profits by reducing your organization's fraud- transaction fraud for a credit card company, default risk for a mortgage firm, the premium for insurers, etc.
Companies use multiple media channels and promotions such as TV, radio, internet, mobile, print advertising, price discounts, coupons, and bundled offerings. This comprehensive program is carefully designed by Data Science professionals with expertise in BFSI domains to equip analysts, managers, and data science enthusiasts across functions like research consulting, ﬁnance, IT, sales and marketing, program and product management, operations. The program covers the essentials of analytics, analytical tools, methodologies, and technologies to solve real-world business problems on real data. A complex mix of own actions, competitors' actions, regulatory changes, and market events affect a product's performance. The challenge lies in correctly separating the effects of marketing activities from all the above components.
Transform your organization's disparate data into actionable insights for more informed and timely business decisions. Data Engineers are responsible for every aspect of data management, ranging from data storage and data preparation to implementing Machine Learning and Computational Algorithms at scale. TransOrg's data engineering approach ensures that all right data (internal/external, structured/unstructured) are identified, sourced, cleaned, analyzed, modeled, and decisions implemented without losing on granularity and value data travels through this path. The firm helps set up your data lake & get you going on your big data journey. Pipelines must transform raw data into curated datasets that can be readily consumed by businesses to build a great data network. Data engineering enables data science solutions to reduce operational costs, discover new revenue sources, and create new products.
Meet the formidable leader
Naveen Jain is the Chief Executive officer of TransOrg Analytics. He has 25+ years of diverse experience across functions, including marketing analytics, business & product development, consulting, operations, finance, and investment banking. He has spent most of his career with American Express. In his last role as Vice President with American Express, Naveen led a marketing analytics team of 100 people who were working with 20+ international markets.
Mr. Naveen holds a Bachelor's degree from Delhi College of Engineering and an MBA from IMT, Ghaziabad.
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