What You'll Learn

• Why Conversational AI is a tool for accelerating digital transformation, and how it’s impacting modern business environments.
• Understand the difference between Conversational AI and standard chatbots, including limitations and applications.
• How to develop Conversational AI strategies and align them with overall business objectives.
• Why you need to understand your end-user and customize your conversational design to cater to their unique needs and preferences.
• Identify and overcome common challenges that can occur as you develop your Conversational AI strategy.
• Understand how to select the best solution when you're ready to begin building your Conversational AI solution.
• Why you need to use Conversational AI as a scalable tool for driving customer-centricity and increasing brand loyalty.
• How Conversational AI is being used for customer experience innovation in various industries and sectors.
• Why you need to design your Conversational interface to manage the natural way users interact and converse.
• Identify and avoid common customer frustrations during Conversational interactions.
• Use Cases and emerging Conversational AI applications in Telecom, Financial Services, Insurance, and Travel and Hospitality.
• Why Conversational AI is a transformative, cost-saving solution for modern contact centers that are contributing to the development of new business models and revenue streams.
• How Conversational AI increases high-value work for human call center agents and alleviates customer support challenges.
• Why you need to integrate brand identity into Conversational AI design.
• Understand the role organizational maturity plays in successfully aligning Conversational AI solutions.
• How to identify and address common technical barriers to Conversational AI adoption.
• Why you need to establish a robust ecosystem between your internal systems and third-party provider systems.
• How to implement a unified Conversational AI framework across workflows, tools, use cases, functionality, IT environments, and end-users.
• Understand why you should use conversational AI as an HR resource for automating menial and repetitive tasks for increased efficiency and productivity.
• Why Conversational AI adoption is accelerating as a solution for enhancing the employee experience.
• Using Conversational AI for increasing job satisfaction in the workplace.
• Why Conversational AI supports the employee lifecycle.
• How to use Conversational AI to create more integration, agility, and unification across HR, IT, supply chains, payroll, and back office.
• Why Conversational AI drives faster, optimized collaboration in the workplace and helps companies cater to the demand for real-time connections.
•  Why you need to use conversational analytics to address customer needs and pain points, perform sentiment analysis, and customer profiling.
• How to apply conversational analytics to gain real-time views into customer interactions with your brand.
• Understand how Conversational AI reduces service costs and fills in knowledge gaps surrounding customer support and conversational interface performance.
• What metrics can help your company drive customer engagement, assess Conversational AI messaging performance and capabilities, and objective completion.
• How to effectively manage Conversational AI implementation.
• What business roles contribute to the management and maintenance of the different Conversational AI implementation stages.
• Why a design thinking approach helps improve the speed of development and level of performance for Conversational AI solutions.
• Why companies must emphasize ethics across Conversational AI development, adoption, and deployment lifecycles.
• What Conversational AI system and solution vulnerabilities companies must anticipate.
• How to effectively address potential challenges for security and data breaches, compliance, misuse, privacy violations, bias, abuse, and manipulation.
• Understand why you must develop Conversational AI solutions responsibly and fairly using ethical best practices and frameworks.
• How to develop Conversational AI to strengthen customer trust and brand integrity, and prevent reputational and organizational risks.