Category: Artificial Intelligence
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.
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Deep Learning Vs Neural Networks – Demystifying the Differences
Deep learning, also called a subset of machine learning which is a specialist with an extremely complex skillset in order to achieve far better results from the same data set. It purely on the basis of NI (Natural Intelligence) mechanics of the biological neuron system. It has a complex skill set because of methods it uses for training i.e. learning in deep learning is based on “learning data representations” rather than “task-specific algorithms.”
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Deep Learning – Driving the Innovation in NLP
Natural language processing, one of the most important technologies of today’s information age. It’s everywhere and used on almost at every instance in daily life like emails, machine translation, google search, virtual agents etc. In recent times deep learning has obtaining too much attraction and respect from the industry which helps nlp to avoid traditional, task-specific feature engineering. The performance across many different NLP tasks, using single end-to-end neural model has achieved significant improvement.
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Deep Learning – Introduction to Boltzmann Machines
The Boltzmann machine, a type of stochastic spin-glass model with an external field, has been subject to various nomenclatures including the Sherrington-Kirkpatrick model with an external field and the Ising-Lenz-Little model. The present work provides a demonstration of a deviation from the conventional Sherrington-Kirkpatrick model, which pertains to the realm of stochastic Ising models.
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Role of Convolutional Layer in Convolutional Neural Networks
The indispensable feature of convolutional neural networks, also denoted as CNNs, is the convolutional layer, which is commonly perceived as the pivotal and fundamental component that confers CNNs their appellation. The current layer is engaged in conducting a computational procedure commonly known as a “convolution”. After the successful initialization of all variables and assigning them with random values, the image of a deer is utilized with specific parameters..
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Augmented Reality and Artificial Intelligence – How will They Build our Future?
Augmented reality – The buzzword of today’s time with great hype. This jargon is of choice and excitement to almost everyone i.e. either a tech enthusiast or even nontech people with a little bit of interest in information technology. There has been a substantial boom in augmented reality in the past five years. Mainly because it allows consumers to visualize a product they like in a 3D environment. As a result, you, as a consumer, get to know more about the product you are looking for and can decide whether to buy it or move on to next.
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2020 The Year of Emerging Technologies
The year 2020 will be remembered as a significant period in human history due to its remarkable strides in progressive innovation, more commonly referred to as “Emerging Technologies.” In this modern era, industrial and business practitioners are expected to establish robust foundational structures for the integration of SMAC (Social, Mobile, Analytics, and Cloud) architecture. It is projected that the prevalence of selection will attain its apex during the decade spanning from 2010 to 2020. The implementation of computerized transformation is of paramount significance for any entity, unless SMAC technology is integrated.
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Data Revolution – Performing Analytics at The Edge
We have tons of data and it’s increasing every second and millions of tools but how to harness the power of modern data and related delivery tools, is still a question. It’s even more difficult now in the era of GDPR or similar regulations. Reducing the cost and simplifying data intelligence infrastructure going to be our next biggest challenge at least for the year 2020. Few questions at hand like below
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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….
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AI Transcended: Exploring The Dimensions Beyond Data
AI Elevated: Amidst Conversations on Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL), and Artificial Neural Networks (ANN), the lexicon employed often intertwines these phrases, causing ambiguity. Nevertheless, each expression possesses distinct connotations, delineations, objectives, and interrelationships.
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Supervised vs Unsupervised Machine Learning
Supervised vs Unsupervised Learning – Both of them are very popular machine learning algorithms currently in use. Supervised learning is all about labelled data where its algorithm does reverse engineering work as compared to traditional programs i.e. it predicts/maps the output to the input data. Unsupervised is all about hidden patterns and structures from unlabeled data.
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Machine Learning – Introduction to Regression Analysis
In Machine Learning regression analysis is used just to understand how to establish a relationship between independent variables and dependent variables. How independent variables going to effect dependent variables. Whether there is a strong relationship or just a casual relationship between IV and DV. Machine learning is a goal not a technique in this regard while linear regression is. ML can be achieved through many different means and techniques. In short, we can say this
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Machine Learning – It all Boils Down to the Training Data
Data generation sources like social media as 1st and winners are doing an excellent job. 2nd to this is payment data which is as big as social media or the Western world. Payments on mobile for e-commerce, online food orders, etc are almost 30 – 50 times more than in the U.S. as in Africa and Asia combined above. Off-course all this data is quality data for making more money as well as to improve the user experience. Data is also used as a yardstick for comparing algorithms.
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2019 The Year of AI & Digital Transformation
Eventually, AI will free up humans for higher-value tasks and drive employment. In the end, a powerful position will be created by AI for companies who believe and trust in it. A great value and product proposition will be created to add value for its customers, end users, and investors simultaneously.
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Machine Learning(ML) – Introduction to Basics
Machine learning techniques are accelerating almost daily to bring good value to the businesses of today. It is revolutionizing the way we do our business and what should be done to improve upon it. ML develops its own encompassing strategy from the experience it comes across over the period.
