How to Scale Service with Generative AI and Einstein GPT

Join us for an informative webinar where industry experts from Salesforce will explore the transformative potential of Service Cloud Einstein and Einstein GPT in customer service. Discover how these powerful tools can help companies overcome the challenge of balancing customer demands with agent productivity. In this webinar, you’ll learn about the following key benefits:

  1. Personalize every interaction with trusted data: Explore how Service Cloud Einstein and Einstein GPT enable companies to deliver personalized customer experiences by leveraging reliable and relevant data. Discover how AI algorithms can be applied to provide tailored support and enhance customer satisfaction.
  2. Boost service team productivity by automating tasks: Understand how AI solutions can automate routine tasks, allowing service agents to focus on more complex customer inquiries. Discover how this automation can improve the efficiency and productivity of service teams, resulting in faster response times and enhanced customer service.
  3. Build and deploy AI solutions faster across all channels: Learn about the streamlined process of building and deploying AI solutions across multiple communication channels. Discover how Service Cloud Einstein and Einstein GPT empower businesses to provide consistent and intelligent support through various channels, including chatbots, email, social media, and voice.

Featured Speakers:

  • Jawad Malik: Regional Sales Director, Platform & Customer Experience at Salesforce
  • Abhay Kacker: Principal Solution Engineer at Salesforce
  • Vladimir Bojchev: Lead Service Specialist at Salesforce

Don’t miss this opportunity to gain insights into the future of customer service and discover how AI can revolutionize your company’s approach to customer interactions. Register now for the webinar!

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AI in Autonomous Vehicles: AI technologies powering self-driving cars and intelligent transportation systems.

AI Ethics: Ethical considerations and guidelines for the responsible development and use of AI systems.

AI in Education: AI-based systems for personalized learning, adaptive assessments, and intelligent tutoring.

AI in Finance: The use of AI algorithms for fraud detection, risk assessment, trading, and portfolio management in the financial sector.

AI in Healthcare: Applications of AI in medical diagnosis, drug discovery, patient monitoring, and personalized medicine.

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