This discussion will explore the power of generative AI and its impact on and value to the enterprise. Panelists will discuss how AI technologies are revolutionizing industries by enabling machines to generate creative content, solve complex problems, and enhance decision-making processes. Real-world case studies, ethical considerations, and the future of generative AI in driving innovation will all be part of the conversation.
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Have you started exploring the possibilities of generative AI for your business? It's time to leverage this technology in practical ways that will drive real business value and ROI. Join Dr. Ryan Ries to learn how to modernize your data strategy and create a solid foundation for advanced analytics and large language models. Discover how to become a data-driven organization with AWS, and use data and generative AI to unlock insights and transform your business.
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This session looks are how to move from current conversational AI narrow models to new Generative AI pre-trained models for next generation customer care. The session will explore live cases as well as futuristic concepts, considering both benefits and challenges, results and deployment strategies, with an eye towards sustainability and ethical AI usage.
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AI technologies are rapidly improving business processes and revolutionizing decision-making. This session looks at the synergies between advanced AI language models and ERP systems, how cloud and AI are changing the ERP landscape, and deliver a practical understanding of how ERP software is moving forward with AI and how businesses can benefit from it.
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This session will navigate an increasingly pivotal crossroads: the decision between investing in a proprietary, custom-tailored Large Language Model (LLM) or capitalizing on the versatility and ease of public generative AI services. The discussion will include a comparison of the various GenAI models, their benefits and risks, and will provide insight into the decision-making framework to allow attendees to assess their options for their own needs.
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AI technology offers an array of powerful tools that have started to revolutionize how organizations engage with their target audiences, enhance brand visibility, and optimize communication strategies. This session will explore how GenAI can bolster sales and marketing efforts, including real-world examples, potential pitfalls, as well as considering how and where human involvement intersects with AI to support business objectives.
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This session delves into the realm of Generative AI and explores its immense potential for monetization. By analyzing real-life examples of successful implementations and revenue-generating models, the discussion will uncover strategies, trends, and opportunities within the generative AI ecosystem. Attendees will gain actionable insights to harness the transformative power of generative AI and capitalize on the emerging monetization landscape.
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Many experts argue today's Large Language Models (LLMs) are inaccurate, but many companies are already implementing entire AI-based programs – some more successfully than others. In this session, tech CEOs debate where AI delivers vs. falls short of transformative promises. Each CEO cuts through today's polarizing hype by examining AI's capabilities and limitations, offering attendees a clearer perspective on AI's near-term potential to disrupt communications technology.
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As the possibilities of using Generative AI to improve businesses are exploding in the past few months, so are the concerns around security and responsible AI in these applications. As enterprises work to bring Generative AI applications to production, they need additional capabilities to ensure that these applications are secure, protect privacy, fair, explainable, compliant and accountable. What are the additional services and processes that enterprises need to build these capabilities? What challenges exist in bringing in these capabilities into the enterprise? How can these capabilities be implemented and integrated in an efficient manner? How are these capabilities monitored to ensure their continued performance? This session will answer these questions and many others around the GenAI landscape.
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This engaging session will showcase the powerful synergy between Generative AI and advanced AI Document Management technologies. Witness Lisa, a Legal AI Assistant, in action through seamless interation of document suite software and generative AI to enhance document management functionality. Learn how the same technology can easily be applies for your industry-specific domain. Via various use cases, learn how to harness the AI capabilities for locating and summarizing information, providing intelligent insights and automating content generation based on specific business rules and templates. Don't miss this opportunity to revolutionize your approach to document management with cutting-edge Generative AI.
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Beyond the basic content generation most people are familiar with, Generative AI tools will have profound security ramifications to organizations as threat actors weaponize these tools to rapidly target users with tailored malware, ransomware, social engineering and BEC attacks. This session will explain how threat actors are already taking advantage of widely available AI solutions to increase the effectiveness of their attacks, including real examples of threats launched from AI technologies, such as ChatGPT, and how attackers have advanced their tactics to compromise individuals and businesses. Attendees will learn how to protect their organizations against these new kinds of threats and why security teams must arm themselves with AI cyber security tools to level the playing field.
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Generative AI models have achieved remarkable advancements in generating human-like text, images, and even code. However, these models often suffer from a phenomenon known as “knowledge sprawl,” wherein the model’s knowledge expands beyond its training data, resulting in the generation of inaccurate or misleading information. Controlling this sprawl is crucial to ensure the reliability and ethical usage of generative AI systems. This session will delve into the challenges associated with knowledge sprawl in generative AI and explore effective strategies for controlling and mitigating its impact, including approaches that researchers and developers have employed to address this issue.
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An AI Optimist possesses an authentic desire to capture the benefits of AI and deploy the technology for customer experience enhancements across all industries. They are not naive; they recognize implementation as a journey, not an immediate transformation, especially within the contact center, where Conversational AI has opened the door for Generative AI (which goes beyond basic guided tours of conversational AI). By leveraging Large Language Models (LLMs), GenAI delivers more life-like conversations with customers, where consumer intent is analyzed for personalized interactions. This session will examine what it means to be an AI Optimist and why companies must avoid carelessly deploying generative AI, as well as jey areas where to deploy GenAI, the benefits of enacting hyper-automation into customer care technology, and how optimists should address the challenges and risks of AI.
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Over the past year, one thing has become clear: GenAI is here and it is real. The question is, where does it go from here? This session will consider the current state and future of Generative AI, it’s implications for enterprises in the context of emerging use cases, business impact, and emerging challenges. Discussion topics will include GenAI’s impact on workforce dynamics, data security implications, bias mitigation, the balance between innovation and regulation, and more. As GenAI technologies advance, they not only unlock new possibilities but also raise significant ethical, legal, and societal questions. This discussion will explore the GenAI’s transformative potential as well as the challenges it presents as businesses continue to embrace its capabilities and develop their AI strategies.
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In an era where personalization is king, leveraging the capabilities of Generative AI to enhance the customer experience has become not only vital, but transformative. This session looks at the largely untapped potential of Generative AI in revolutionizing customer interactions and engagements and how businesses are integrating these sophisticated AI models to create highly personalized customer experiences, from dynamic content creation to intelligent customer service solutions, and much more. Attendees will understand how to utilize Generative AI to foster a more nuanced and interactive relationship with their customer base, thus driving brand loyalty and facilitating business growth, including strategies for successfully implementing Generative AI tools without compromising customer trust.
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There's a hope that, via artificial intelligence and the elimination of human error, processes and activities will become more efficient, beneficial, and advantageous for humanity. But is this the case?  Will the tide of AI raise all boats? How does human bias influence the systems and structures of AI models, such as large language models, ethics, selective data, and models emerging from non-diverse institutions?  This session will present an engaging, interactive discussion about bias in the world of generative AI from a few perspectives, including:

• The back end (coders, developers, owners, technologists, industry perspectives),
• How technology generates vastly disparate consequences for different communities, and
• Models of best practices.

How do different communities feel about facial recognition, surveillance, and predictive modeling?  What historical events or circumstances that should cause people to be cautious or concerned?  Where does rational concern turn into paranoia and conspiracy theory?  What does the future look like for AI?
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