Tag: AML
DATA – Blue Ocean Shift Strategy (Boss)
BOSS – Blue Ocean Shift Strategy can actually help and create vision to focus on areas such as AI, blockchain for education, health & agriculture, create ecosystems using BigData analytics and IoT. To capture a quick snapshot of this strategy, certainly, Big Data appears to be most effective and efficient driver for Blue Ocean Strategy. Based on a limited set….
2018 Year of Intelligence – Artificial & Augmentation
Year 2018 will be known as year of Artificial Intelligence and Intelligence Augmentation for sure.We used to think artificial intelligence was a silly sci-fi concept but when you really look into it, it seems like its been slowly encroaching into most areas of everyday life! AI would become just a computer inside the robot or another software or a brain siting out of human body.
World Wide Data Wrestling
Big data presents a tremendous opportunity for enterprises across multiple industries especially in the tsunami like data flow industry of “Payments”. FinTech, InsureTech, MedTech are major data generating industries i.e massive group of factories. According to some data from Google it shows technology based innovative insurance companies
AI Role in FinTech
Bringing Artificial intelligence to make FinTech better, demystified and simple. How FinTech intelligence will become better with machine learning. Artificial Intelligence is a field that includes everything that is associated with the data (cleansing, preparation, analysis and many more), Learning processes to describe, diagnose, predict and prescribe with use of AI subfields like Machine Learning, Deep earning and Neural networks. Machine learning is a field of Artificial Intelligence, which is allowed to software applications for making accurate results.
Payment Intelligence Through AI
Payment intelligence (PI) System – Can open lot of opportunities to young entrepreneurs and boost economy of the nation. Bringing Artificial intelligence to make FinTech better, demystified and simple. How payment intelligence will become better with machine learning. How ….. To bring people from technical backgrounds, business people who can understand and appreciate the need and concept of Artificial intelligence to create products, services and solutions in financial Technology and banking domain.
AI Changing FinTech Modus Operandi
AI in Fintech is a great help & ease for understanding on how the automation can be achieved for automated tasks (yes its true). Machine Learning focuses on predictions, based on known properties learned from the training data using too much statistical inductive reasoning. It’s been said ML works very well as long as past gets repeated in future. Financial chat bots use predictive analytics to push out real-time, informed responses to customers without the need for human intervention.
BitCoin State of Blockchain and Artificial Intelligence in Fintech
Blockchain technology is a digital innovation that is poised to significantly alter financial markets within the next few years, within a cryptographic ecosystem that has the potential to also significantly impact trusted computing activities and therefore cybersecurity concerns as a whole.
AI The Epicenter of eCommerce
In our todays online shopping how much is artificial intelligence. How artificial intelligence can help retailers to deliver the highly personalized experiences shoppers desire. Ant colony optimization algorithm (To formulate training feed-forward neural networks with ant colony optimization) to obtain the users’ preference information are widely used in todays ecommerce business for comparison-shopping to solve the problem of the user bias’ filtering and learning. The performance improvements are important to both consumers / buyer and sellers / merchants.
Artificial Intelligence Innovation in FinTech
With advancement in technology, artificial intelligence, organisations outside the banking industry diversified and demystified financial services by targeting small & succinct margins in the space. These were organisations servicing millions of customers through broad distribution channels, be they mobile operators, mobile handset manufactures, retailers or on-line merchants. Integrating AI applications, such as IBM Watson and N26 with Siri
Harnessing Machine Learning in Payments
ML gets the problem-solving call in conjunction with deep learning artificial neural networks. As these jargons i.e AI, ML, DL or ANN etc may be getting their day in the sun, but they’ve been around for a while. It’s just in the past 5-10 years that they have gained traction, technology that was once niche is now becoming more mainstream and cost-effective reaching to common man. Until recent machine learning was known as historical phenomena in the worlds of academia and supercomputing.
Vinod Sharma's Blog 