Category: Artificial Intelligence
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.
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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.
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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.
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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
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Machine Learning – Introduction to Quick and Accurate Machine Translation
Machine translation model renders text from one natural language to another. There are various MT models developed to effectively drive translation based application souls. To accomplish this task, experts rely on the powerful approaches used to build these models..
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Artificial Intelligence is the Future for CyberSecurity
The Appeal of AI for Cyber Security has extremely good reasons like automation of operational tasks, develop & delivering predictive capabilities, mitigating human biases behaviour and derive actionable intelligence. On the down side AI requires high volumes of high quality data to learn.
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Introduction to Powerful Machine Learning Algorithms
Machine learning, a subset of Artificial Intelligence, draws on computer science principles. While it is not AI in its entirety, machine learning serves as the pivotal juncture where business and practical experience converge with emerging technology, forming collaborative partnerships. Each type of machine learning offers strategic and competitive advantages, yet the crux lies in the availability of high-quality data, which determines the technique to be employed.
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Data Intelligence as a Service – DataIntelligence
There are certain market dynamics which determine the growth of the data and its related analytics. Thats where Data Intelligence’s adaptive dynamics comes into play to assess the factors driving organisation to adapt their existing, profitable lines of business. This help them stay relevant in the future of the rapidly evolving world and enormous helper for Blue Ocean shift strategy.
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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.
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Demystifying AI, Machine Learning and Deep Learning
The sphere of artificial intelligence has evolved beyond its initial academic beginnings and is now a vibrant and wide-ranging area of exploration. Lately, companies have also incorporated artificial intelligence into their products and services. It is presently under human supervision that artificial intelligence operates and I strongly desire that this collaboration will continue in the near future. The use of AI systems to take charge of humans…
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Data an Unbelievable Hidden Treasure
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
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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.
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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.
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Intelligence Augmentation and Artificial Intelligence
Intelligence augmentation, involves incorporating technology to elevate human intelligence and improve decision-making capacity. Intelligence augmentation aims to enhance and work alongside humans, rather than replace them, unlike artificial intelligence which is focused on creating machines that can perform tasks independently.
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Risk is for Real if not Artificial Intelligence
Amalgamating the latest technology of artificial intelligence like predictive analytics and cognitive messaging to serve millions of customers is now a new winning strategy. AI and regulation are paving the way for Fintech. Artificial intelligence is a new factor of production and has the conceivable potential to introduce new sources of growth, reinventing the business in place, changing how work is done and reinforcing the role of people to drive growth in business.
