Category: Contextual Artificial Intelligence
Context Aware Computing Market to Hit $153.37 Billion by 2028
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Contextual AI: The Next Big Trend in Content Management
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XAI (EXplainable AI) – A Contextual Introduction
Data science is not just about solving business problems mathematically but it is also about telling a story to stakeholders. It is a joy when one can draw out the “OOHs” and “AAHs” as mental bulbs warmly glow into existence as the results of an analysis are understood. More often than not, such storytelling is not possible when one bakes algorithmic outputs into products.
Contextual AI: The Answer To Our Mis-Managed Recruitment Processes
Applicant tracking systems (ATSs) and recruiting management systems (RMSs) are the two AI-infused approaches to modern talent management that have gaps and limits. However, while AI-based platforms are critical for innovative outlooks to talent management, their implementation is fraught with difficulty. For example, a recent study by Harvard Business School (HBS) and Accenture discovered that due to the way the tracking systems are connected, over 10 million workers are eliminated from consideration. Similarly, according to a recent Wall Street Journal article, current talent management systems are operating as intended, screening millions of resumes for keywords and phrases that match job descriptions while excluding many qualified candidates.
Contextual AI : SAP/CAI
Contextual AI adds explainability to different stages of machine learning pipelines – data, training, and inference – thereby addressing the trust gap between such ML systems and their users. It does not refer to a specific algorithm or ML method — instead, it takes a human-centric view and approach to AI.
The What, Where, and Why of Contextual AI
What is contextual AI?
In a sentence: contextual AI takes a human approach to processing content. It allows AI systems, like chatbots and virtual assistants, to have a real-world interpretation of language, audio, video, and images so they can behave less like traditional computers and more like humans.
It’s what helps an AI recognize when an image is upside down, whether you’re happy or frustrated by the tone of your voice, or that the right answer to the question, “where did Doc send Einstein?” is, “one minute into the future” — not, “sorry, I don’t know that one.”
This is because contextual AI is capable of analyzing the cultural, historical, and situational aspects surrounding incoming data, then using that context to determine the most meaningful outcome for the end-user.
In human to machine (H2M) conversations, this outcome can be as simple as a chatbot using your location to direct you to the nearest laptop repair shop. In human to human (H2H) conversations, it could be anything from recognizing speakers, sentiments, and buyer’s intent, to adding valuable insights to real-time sales call transcriptions.
What Is Contextual Data and How to Collect It
At one time or another, we’ve all heard a famous quote misconstrued or taken out of context. And though Robert Frost might actually tell you to just pick any old path and not mourn “The Path Not Taken,” the paths you take toward understanding your customers and their broader contexts really do make all the difference.
According to Gartner analyst Melissa Davis:
Context-as-a-Service (CaaS), why it is important to future intelligent buildings?
In human discourse, people often emphasize the ‘context’ or ‘contextual explanation’ to develop a better understanding over the specific conversation. In many cases, context is vital in decision-making or reacting to the actual situation. Nowadays, data is like a goldmine for researchers, service providers and technology vendors. At this juncture, data-driven models are extensively used in intelligent buildings to monitor the whole building performance along with forecasting services.
Random Forest Algorithm for Absolute Beginners in Data Science
Random forests are a supervised Machine learning algorithm that is widely used in regression and classification problems and produces, even without hyperparameter tuning a great result most of the time. It is perhaps the most used algorithm because of its simplicity. It builds a number of decision trees on different samples and then takes the majority vote if it’s a classification problem.
I am assuming you have already read about Decision Trees, if not then no need to worry we’ll read everything from start. In this article, we’ll figure out how the Random Forest algorithm works, how to use it, and the math intuition behind this simple algorithm.
Before learning this algorithm let’s first see what are Ensemble techniques.
Bringing blockchain, AI and privacy-preserving computation together is the 2.0 version of this network’s white paper
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Qubit the dog on the big questions in quantum computing
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How Machine Learning can be used with Blockchain Technology?
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10 Ways Business is Using Python in an Effective Way
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Support Vector Machine(SVM): A Complete guide for beginners
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Watch “Top IoT Projects 2021 | Useful IoT Devices | Smart IoT Projects | IoT Applications | Simplilearn” on YouTube
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Google AI Introduces FLAN, A Language Model with Instruction Fine-Tuning
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Python Weekly Issue 520
Welcome to issue 520 of Python Weekly. Let’s get straight to the links this week. Continue Reading
The Problem Statement Canvas: A Deep Dive in Problem Definition for Startups and Innovation Teams
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40 Helpful Python tips to Boost your speed as a Data Scientist
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11 Important Quantum Computing Industrial Revolutionizations
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VLOOKUP implementation in Python in three simple steps
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Python weekly Issue : 518
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Python Weekly – Issue 517
Welcome to issue 517 of Python Weekly. Let’s get straight to the links this week. Continue Reading …
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Business Ideas -2021
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Artificial Intelligence in Finance: Opportunities and Challenges
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A Bird’s Eye View of Research on Attention
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Industry vs Academia in Machine Learning
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60 engineering colleges in Karnataka to offer 4-year BSc course this year
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PCA And It’s Underlying Mathematical Principles
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Dina Katabi on a “smart” home with actual intelligence
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World’s First Fully Electric Tractor Could Outclass All Rivals
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Sustainable transformation of agriculture with the Internet of Things
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Contextual Advertising Strategies for Marketing Financial Services
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Cross-Generational Digital Marketing Insights For 2022
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Engineers make critical advance in quantum computer design
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3 Top Artificial Intelligence Stocks to Buy in August
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Python Data Science Cheat Sheet
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TOP RELIABLE DATASETS FOR ALL YOUR DATA SCIENCE PROJECTS
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Complete Tutorial on Text Preprocessing in NLP
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Top Digital Marketing Trends for 2021
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Top 15 Digital Marketing Trends And Innovation For 2020
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15 AI Ethics Leaders Showing The World The Way Of The Future
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Improved Detection of Elusive Polyps via Machine Learning
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The history of Amazon’s forecasting algorithm
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Create a serverless book library app with HarperDB and Gatsbyjs
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Automating EDA Using DataPrep
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The four maturity levels of ML production systems
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Automate Microsoft Excel and Word Using Python
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Huawei Releases ‘SODA10M’, A Large-Scale 2D Dataset For Object Detection In Autonomous Driving With 10M Unlabeled Images And 20K Labeled Images Over 6 Classes
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AI designs quantum physics experiments beyond what any human has conceived
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Top Machine Learning Funding and Investments in Q2 2021
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8 Free Python Courses For Data Scientists In 2021
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ಕೃತಕ ಬುದ್ಧಿಮತ್ತೆ ಅಥವಾ ಯಾಂತ್ರಿಕ ಬುದ್ಧಿಮತ್ತೆ Artificial Intelligence
ಕೃತಕ ಬುದ್ಧಿಮತ್ತೆ ಅಥವಾ ಯಾಂತ್ರಿಕ ಬುದ್ಧಿಮತ್ತೆ Artificial Intelligence ಗಣಕ ವಿಜ್ಞಾನದ ಒಂದು ವಿಭಾಗ. ಪ್ರಮುಖ AI ಪಠ್ಯಪುಸ್ತಕಗಳು ಈ ಕ್ಷೇತ್ರವನ್ನು “ಬುದ್ಧಿಮತ್ತೆಯುಳ್ಳ ಯಂತ್ರಗಳ ವಿನ್ಯಾಸ ಮತ್ತು…
How to Build a Stock Trading Bot with Python
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How Good Is Python for Blockchain Development?
With the growing interest in blockchain, the choice of technologies for creating blockchain solutions is becoming one of the main…
The Rise of the ML Engineer
Just fifty years ago, machine learning was a new idea. Today it’s an integral part of society, helping people do…
Why do Buddhists believe that meditation leads to enlightenment?
Sid Kemp, Spiritual practitioner learning from all religions for over 40 years. Buddhists do not believe that, alone, meditation leads to…
Python Weekly :Issue 507
Welcome to issue 507 of Python Weekly. Let’s get straight to the links this week.One Database Transaction Too ManyA story…
Python Weekly
Welcome to issue 506 of Python Weekly. Let’s get straight to the links this week.
9 Types of Meditation: Which One Is Right for You?
Meditation may be an ancient tradition, but it’s still practiced in cultures all over the world to create a sense…
Build Your First Data Quality Checking Web App in Python Using Streamlit
Quality is never an accident; it is always the result of high intention, sincere efforts, intelligent direction, and skillful execution;…
Explained: Didi Chuxing’s Prize-Winning Real-Time 2D Object Detection Framework
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How AI Is Bringing Intelligence to TV Screens
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Quantum Artificial Intelligence in 2021: in-Depth Guide
Quantum computing and artificial intelligence are both transformational technologies and artificial intelligence is likely to require quantum computing to achieve…
Domino Data Lab
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How to Create Data Products – From Data Scientist to Business Owner
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Top 10 Cryptocurrency Prices on June 17, 2021
There are over ten thousand cryptocurrencies in the market today, most with very little value and unclear potential. However, top…
A Detailed Explanation of GAN with Implementation Using Tensorflow and Keras
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Operators and Expressions:
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Using machine learning to predict future bitcoin prices
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Python Now Supports Switch Statements — Here’s How to Get Started
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Python Weekly Issue 502
PyTorch builds the future of AI and machine learning at FacebookFacebook’s AI models perform trillions of inference operations every day…
Data Science Algorithms are Important to Learn.
Being a data scientist, one should properly understand the importance of AI and machine learning (ML) algorithms. Knowing data science…
What is Design Thinking and Why Is It So Popular?
Design Thinking is not an exclusive property of designers—all great innovators in literature, art, music, science, engineering, and business have…
Context in Artificial Intelligence
Context is the challenge for the coming years in Artificial Intelligence. In the companion paper[8], we present the main results…