ROBO GLOBAL^® ARTIFICIAL INTELLIGENCE INDEX

Predictive analytics, predictive maintenance, data aggregation, and data analysis are among the AI technologies that give companies the power to analyze and predict outcomes. The result: actionable, predictive insights that help companies solve complex business challenges.

AI-powered tools help organizations analyze and leverage massive amounts of data. AI’s ability to transform business models is seemingly endless as innovations in machine learning, data analytics, and automation enable companies to re-imagine traditional workflows and target new market opportunities.

Public and private cloud platforms are the key to storing and sharing the massive amounts of data required to feed AI processes, and delivering the standardization required for AI automation. Cloud providers help companies accelerate the delivery lifecycle, rapidly evolving and improving products and services.

Cognitive computing provides a higher level of human-like problem solving by using computer-based neural networks to process information, giving computers the ability to think, reason, and remember—all without human intervention.

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When companies lack internal AI expertise, AI consulting firms provide knowledge and insights to create effective AI strategies, evaluate AI technologies, and deliver integrated services. This supports the full applications lifecycle and drive greater efficiencies, cut costs, and increase operating margins.

eCommerce leverages the power of AI to better understand customers, generate new leads, and improve customer engagement. New advancements in natural language processing and image recognition are being used to deliver highly personalized search results, create more efficient sales and lead generation, and streamline global commerce.

Industrial automation remains a hotbed for AI as factories go digital. Machine learning and predictive maintenance increase factory and supply chain efficiencies, shorten time to market and improve safety. Sensing and advanced computer vision technologies using AI enable greater efficiency gains in logistics.

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AI-driven behavioral analytics use the power of machine learning to model network behavior and improve threat detection. AI’s storage capacity, processing power, and advanced analytics give companies the ability to sort through vast quantities of software vulnerabilities, configuration errors, and threat intelligence to isolate high-risk situations that call for immediate attention—all in near-real-time.

The exploding use of AI is ushering in a new era of semiconductor architectures and computing platforms that can handle the accelerated processing requirements of an AI-driven world. Semiconductor companies are creating more advanced AI chip engines that utilize an entirely new range of materials, equipment, and design methodologies.