An often invisible role in everyday life, powering search engines, product recommendations, and speech recognition systems.
Artificial intelligence leverages computers and machines to mimic the problem-solving and decision-making capabilities of the human mind.
Artificial intelligence applications
Speech recognition: It is also known as automatic speech recognition (ASR), computer speech recognition, or speech-to-text, and it is a capability which uses natural language processing (NLP) to translate human speech into a written format. Many mobile devices incorporate speech recognition into their systems to conduct voice search—e.g. Siri—or improve accessibility for texting.
Customer service: Online chatbots are replacing human agents along the customer journey, changing the way we think about customer engagement across websites and social media platforms. Chatbots answer frequently asked questions (FAQs) about topics such as shipping, or provide personalized advice, cross-selling products or suggesting sizes for users. Examples include virtual agents on e-commerce sites; messaging bots, using Slack and Facebook Messenger; and tasks usually done by virtual assistants and voice assistants.
Computer vision: This AI technology enables computers to derive meaningful information from digital images, videos, and other visual inputs, and then take the appropriate action. Powered by convolutional neural networks, computer vision has applications in photo tagging on social media, radiology imaging in healthcare, and self-driving cars within the automotive industry.
Recommendation engines: Using past consumption behavior data, AI algorithms can help to discover data trends that can be used to develop more effective cross-selling strategies. This approach is used by online retailers to make relevant product recommendations to customers during the checkout process.
Automated stock trading: Designed to optimize stock portfolios, AI-driven high-frequency trading platforms make thousands or even millions of trades per day without human intervention.
Fraud detection: Banks and other financial institutions can use machine learning to spot suspicious transactions. Supervised learning can train a model using information about known fraudulent transactions. Anomaly detection can identify transactions that look atypical and deserve further investigation.
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Admin22 brings vast transformation experience, process and industry expertise, methods, accelerators together with proprietary and partner technologies. This combination helps you build the strategy, capabilities and skills to operationalize and scale trusted AI across your enterprise.
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99% of respondents report an increase in customer satisfaction as a result of using virtual agent technology. Utilizing conversational AI can help meet customers on their terms and address their requests while reducing effort.
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90% of companies have difficulty scaling AI across their enterprises, and about half of AI projects fail. Taking a strategic approach, organizations can capture the true potential of scaled AI.
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Three out of four executives view ethics as a source of competitive differentiation, and they believe AI ethics to help achieve competitive advantage, sustainable innovation, and even social justice goals.
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IBM Watson Assistant is the industry-leading conversational AI platform that that integrates to your CRM systems. Coupled conversational AI with speech-to-text capabilities, driven by machine learning, Watson Assistant improves first contact resolution for voice interactions.
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