Artificial Intelligence (AI) Technology

Artificial Intelligence is transforming every aspect of our daily lives. IDC forecasts that global AI spending will reach $97.9 billion by 2023. As per IDC research, AI adoption is low but at a tipping point. Data quality, quantity and access, algorithm explainability and selection, lack of data science skilled personnel and cost of AI solutions are the key factors holding back AI initiatives. Only one tenth of PoCs reach to production deployments and about half of the AI initiatives fail. Businesses’ report more than 50% of the time on an AI project is spent on data integration and management and solution deployment vs actual data science tasks. An end-to-end solution covering all aspects of an AI lifecycle is crucial to an organization’s road to AI adoption and faster realization of superior business outcomes.
AI will permeate every IT function. It is being used to provide self-configurable, self-healing and self-optimizing infrastructure and data management that help prevent issues before they occur, improve performance proactively and optimize available resources.Other interesting applications are resolving employee’s tech support issues, automating the task of implementing new systems or new applications to help improve enterprise productivity, managing risks and driving overall cost reduction.
In this practice test, the Artificial Intelligence (AI) Technology, you will see – Artificial Intelligence, What is artificial intelligence ?, Machine Learning, What is machine learning ?, Deep Learning, What is deep learning ?, Neural Networks, What are neural networks ?, Types of artificial intelligence – weak AI and strong AI, Natural Language Processing (NLP), What is natural language processing ?, What is a chatbot ?, What are AI ethics ?, Establishing principles for AI ethics, Primary concerns of AI, How to establish AI ethics, Ethical AI organizations, History of artificial intelligence, Artificial intelligence applications, Deep learning vs. Machine learning, IBM and AI Lifecycle Software, AI-enabled digital transformation is driving growth, and The increasing need for trustworthy AI. You will find the 110 questions 108 minutes (25+25+20+40 questions, 19+19+40+30 minutes, multiple choice questions). You can make your notes of all questions and you can find the excellent knowledge (answer available of all questions).