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AI technologies bring a new dimension of analytical capabilities and insights that were previously unattainable. By harnessing the power of AI, organizations are able to process vast amounts of data, identify patterns, and make more informed decisions at every phase of the innovation process. Why Integrate AI with Phases and Gates?
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Speaker: Maher Hanafi, VP of Engineering at Betterworks & Tony Karrer, CTO at Aggregage
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A technology that continues to revolutionize this domain is GenerativeArtificialIntelligence (AI). By leveraging the power of data analytics and marketing automation, businesses can harness GenerativeAI to endless opportunities. However, the way forward for generativeAI for CX looks different.
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Recognizing the numerous benefits it offers, businesses have accepted generativeAI as a catalyst for future growth and new innovations. Adoption of generativeAI by enterprises indeed boosts work efficiency and outcomes. 71% of surveyed senior IT leaders believe that generativeAI will introduce new risks to data.
A good friend and I were eating lunch, and talking about concerns that there wouldn't be any good or interesting jobs for our kids, because of the usual technology advances - robotics, automation, machinelearning and other factors. Now, of course, there is a new buzz phrase - machinelearning and/or AI, especially focused on ChatGPT.
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The manufacturing sector is on the brink of a transformative era, driven by advanced technologies such as ArtificialIntelligence (AI), Digital Twins, and IoT-enabled Smart Factories. According to Gartner , by 2025, 50% of manufacturers will use AI, IoT, and analytics to achieve operational resilience and business continuity.
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Learn More: The Role of Chatbots in the Intranet. Increasingly intelligent applications. We expect to see an increasing number of organizations begin leveraging artificialintelligence in most of their business applications, in full force, to improve user experience or streamline existing business processes.
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