Tag: AI

The Fundamentals Of Machine Learning

The main purpose of ML (machine learning) is to create an automatic data model for the purpose of analysis. Thus ML is to create a system that can learn from the data according to the algorithm used. The result can be found by mapping the output to the input or finding patterns/structures or learning by rewarding/punishing.


Payment Intelligence | Powerful And Strong Combo With AI

The fusion of Artificial Intelligence technology with payment processes has led to a remarkable enhancement in efficiency, creating a mutually beneficial partnership between the two domains. Artificial intelligence was acknowledged and employed before this era, although its utilization was considered inadequate. More research is necessary to clarify the correlation among blockchain, payments, financial technology, and artificial intelligence.

Top 5 Deep Learning Applications on Social Media For Businesses

Deep Learning – “It is undeniably mind-blowing” machine learning technique that teaches computers to do what comes naturally to humans: learn by example. It can […]

Not What You Think – Robots and Artificial Intelligence

Robot failure can occur for the basic and widely known reason that their machine learning models may not be precise enough or require extensive data and training to be precise. Robots excel in tasks that pose a substantial threat to humans, have low economic value, are menial in nature, and are significant in humanitarian endeavors with high risk involved. It is unlikely that robots or AI with advanced capabilities will replace our jobs in the next 50 years or beyond.

Smart Payments

Data Science and Smart Payments

The infiltration of AI technology is causing significant transformations in various industries, such as finance, healthcare, and science, resulting in a global paradigm shift. Organizations must exercise the same level of caution in handling their data as they do with their finances.

2018 Year of Intelligence Augmentation

Intelligence Augmentation – Powerful or Dangerous

The start of the year 2021 came with lots of expectations that should bring huge advancement in the AI field. Now there has been a significant shift in perspective. AI appears to be gradually infiltrating various facets of our everyday existence.

Real-Time AI Powered Trends Business Can’t Survive Without in 2021

AI is getting more and more prominent across industries which is a plus point to move away from hype. It was once over-hyped for marketers, but now it’s the most powerful tools to automate their day-to-day operations. According to McKinsey, the AI industry is expecting to have more than $2.6 trillion worth of business in sales and online marketing.  As most of the companies will seek an enhanced customer experience for their end-users, there will be tough competition against each other for a more stable future. Here are the top 5 AI-powered tools that businesses can’t sustain without in 2021.

Artificial Intelligence – Some Basic Pointers

The current form of artificial intelligence is purely preliminary software. Scientists believe that this technology is still in the beginning stages, and further developments can have the capacity for changing the world. The current technology or weak AI can easily surpass human capabilities, while its more advanced forms have the power to make human workers obsolete.


Digital Wallets and Security – Payments Landscape

If sensitive data is left unprotected, it can result in severe consequences for the service provider’s business, including financial fraud, violations of legal regulations, penalties from the regulators, loss of consumer trust, and identity theft etc. By implementing security measures at the hardware level, a payment processing application can become more resilient to attacks. This effectively secures against malicious attempts prior to reaching the actual application layer.

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….

Generative Adversarial Networks (GANs) - The Basics You Need To Know

Deep Learning – Introduction to Generative Adversarial Neural Networks (GANs)

GANs consist of two neural networks i.e. Generator that generates a fake image of our currency note example and a disa criminator that classifies it into real or fake. The generator’s role is to map the input to the desired data space (image as in the example above). On the other hand second neural network models i.e. the discriminator classify the output with probability as real or fake compared with real datasets.

Artificial Intelligence As A Transformative Technology

AI is “A somewhat successful attempt to create intelligent machines that work and react like humans.” It is created by humans to behave like a human helping to make human life better. How AI will be transforming the future, to elaborate on this I am sure we all will agree even a couple of books will not be enough. In just five next years it would surpass all the innovations, and technology market work. The handshake of this emerging technology bundle with quantum computing will be a blessing to see.

Reinforcement Learning

Machine Learning – Introduction to Reinforcement Learning

Reinforcement learning is closely related to dynamic programming approaches to Markov decision processes (MDP). MDP solve a partially observable problem. POMDPs received a lot of attention in the reinforcement learning community. As its a process of discrete-time stochastic control to provide a mathematical framework for decision-making modelling.

Unsupervised Learning

Machine Learning – Introduction to Unsupervised Learning

Unsupervised learning is classified as one of the three categories of machine learning, alongside Supervised Machine Learning, and Reinforcement Learning.  Specifically, it falls under the domain of Unsupervised Machine Learning (UML). The predominant technique utilized in the Unified Modeling Language (UML) is cluster analysis. Cluster analysis is employed as a means of discovering concealed patterns or categories within data beyond conventional analytical methods.

Supervised vs Unsupervised Learning

Machine Learning – Introduction to Supervised Learning

AILabPage defines Machine Learning  as “A focal point where business, data and experience meets emerging technology and decides to work together”. SML through historic data set is able to hunt for correct answers, and the task of the algorithm is to find them in the new data. Supervised Machine Learning is