Big Data Analytics as a Service: The next big thing
The cloud is a fantastic resource for Big Data because of its scalability, and also because it is extremely economical. As datasets grow larger, some organizations are moving their datasets…
Category: Technology
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4 steps in building effective machine learning models
Machine learning consists of algorithms that can automate analytical model building. Using algorithms that iteratively learn from data, machine learning models facilitate computers to find hidden insights from Big Data…
Are chatbots just the tip of AI iceberg?
There is no denying the fact that chatbots are disrupting the marketplace as they offer much more than meets the eye currently. Backed by AI, chatbots today are being used…
3 reasons why blockchain will bring value in Procure-To-Pay process
Procure-to-Pay (PTP) is the multi-step process that connects a client with one or more service/product providers. It also allows for the identification and authentication of stakeholders, service provisioning budgeting, invoicing,…
Secure digital identity with blockchain technology
Be it healthcare, banking, national security, or online retailing, identity authentication and authorization is a process that is intricately woven into commerce and culture worldwide. Because of the lack of…
3 best practices in building deep learning models
In the financial services industry, usage of Deep Learning models is becoming popular as they facilitate more accurate predictive analytics, which has helped in improving forecasting, recommendations, and risk analysis….
Taking insurance to next level with machine learning
What does machine learning in insurance industry do? Machine learning algorithms and technologies help insurance industries in reviewing, analyzing and assessing information in pictures, videos and voice conversations. These systems…