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It will take transparency, trust and personalization for businesses to realize the full potential of artificial Intelligence. In this report we will take a deeper look at those 3 essential AI pillars.
DOWNLOAD REPORTArtificial intelligence pinpoints areas of opportunity and delivers personal insights that solve complex business problems and drive innovation. At Cognizant, we’re helping businesses engage and interact more effectively with their customers, with insightful, personalized user interactions that drive loyalty, revenue and growth.
Whether a company is experiencing overall business growth, or seasonal, temporary growth, Cognizant’s AI predictive and scalable platform allows businesses to respond quickly and smoothly to changes in the market. We’re helping our clients create integrated, personalized user experiences to both engage and influence their customers. Imagine what AI can do for you.
AI is already helping to generate new jobs. Learn about eight AI job roles currently at work to help move businesses forward into the AI future.
Strategy, ethics and governance—not just technology know-how—are essential to real and responsible AI. Here are eight insights into getting these elements right.
The way the algorithms interact with humans is going to play a key role in AI’s growth and delivering great customer experiences.
AI today is primarily used in creating new models in order to generate more insights. But these insights are used for decision making, often critical decision making. Evolutionary AI business optimization allows us to augmented and improve decision making in a very principled data-driven manner.
Cognizant’s Insight to AI offering leverages human science and artificial intelligence (AI) to better understand the needs, asoirations and the motives that underlie customer behavior. Our approach offer a proven path to realizing ROI sooner, by adding contextual intelligence to data analytics.
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To bring AI into the business mainstream, companies need to complement their technology advances with a focus on governance that drives ethics and trust. If they don’t, their AI efforts will fall short of their expectations and lag the business results delivered by competitors that responsibly embrace machine intelligence, our latest research findings suggest.
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