Pratik Desai, head of applied artificial intelligence at ListEngage, a Tata Consulting Services company, provides insights on the role of AI in transforming enterprises within the Salesforce ecosystem. Desai shares their extensive experience in Salesforce applications such as Data 360 and Agentforce, offering a unique perspective on the convergence of customer relationship management and data-driven outcomes.In this discussion, Desai illustrates the interactions of technology and business strategy in today’s rapidly evolving AI landscape. They describe the challenges and opportunities inherent in adopting agentic AI across organizational silos, emphasizing the need for aligning business processes with technology. The conversation covers the complexities enterprises face as they transition from traditional data models to AI-driven decision-making.The dialogue delivers valuable insights such as the critical shifts companies need for successful AI integration. Desai, alongside analysts from theCUBE Research, highlights that the transition to an agentic enterprise requires significant adaptation in data management and organizational behavior. Key insights include the importance of aligning departmental incentives with overarching business objectives and leveraging AI to bridge disconnects between technology and operational workflows.

Explore the transformative potential of large language models in business analytics with Raphael Steinman and Alexis Steinman, co-CEOs of Maxa.ai. In collaboration with theCUBE Research and hosted by George Gilbert, a principal analyst in Data and AI at SiliconANGLE and theCUBE, this session examines how Maxa.ai pioneers a new era of interacting with enterprise data.Raphael and Alexis discuss how Maxa.ai reshapes business intelligence by enabling users to intuitively engage with their data. They elaborate on Maxa.ai’s 4D data modeling, illustrating how it enhances business insights by integrating and harmonizing multiple systems of record into a cohesive platform. This platform captures fine data details and supports enriched interaction through large language models, providing a deep understanding of operational and financial data. Supported by theCUBE Research's comprehensive insights, this session examines current landscapes and potential future impacts on business operations.Viewers gain valuable insights into the evolution of data modeling and how decoupling from traditional star schemas enables richer analyses. According to the insights shared by Steinman and Steinman, Maxa.ai offers an adjusted model for businesses, designed to maintain data context and detail, leading to improved decision-making processes. They highlight how this approach facilitates operational changes with financial impacts, potentially streamlining business processes.

Exploring Best Practices for Deploying Agents in ProductionMadhav Thattai, chief operating officer of the AgentForce product at Salesforce, joins this insightful discussion on deploying agents in production as part of the Road to Service as Software series.In this video, Thattai shares extensive expertise and details the transformative journey Salesforce undertakes in deploying over a thousand agents across numerous production use cases. Together with George Gilbert, principal analyst of SiliconANGLE and theCUBE, he delves into the significance of harmonizing transaction data and metadata, the vital role of business logic execution, and the potential of AI agents in redefining customer journeys and business processes.Key takeaways from this session include Thattai's insights into the foundational elements crucial for successful deployment: metric-driven objectives, data harmonization, and robust business process logic. According to him, Salesforce's approach of enabling creative yet controlled agent interactions provides organizations with a comprehensive platform to enhance customer experiences and streamline processes. Gilbert and Thattai also discuss the emerging role of Chief Information Officers and technology leaders in integrating AI agents within enterprise architecture.

In this episode of the Service as Software podcast, Dave Vellante, co-founder and co-CEO of SiliconANGLE Media Inc., and George Gilbert, principal analyst specializing in data and artificial intelligence at SiliconANGLE and theCUBE, are joined by Carsten Thoma. Thoma, president of Celonis, brings decades of experience in enterprise software, including his pioneering efforts with Hybris. Together, they explore how intelligent systems revolutionize enterprise software, moving beyond the limitations of traditional data silos.Thoma provides insights into the transformation of enterprise software towards a data-centric, four-dimensional model facilitated by AI and agents. Vellante and Gilbert, alongside Thoma, delve into how Celonis is uniquely positioned to lead this transformation. They discuss the inefficiencies of current Enterprise Resource Planning systems and the potential of end-to-end process-centric platforms to provide actionable insights and streamline operations. This episode of theCUBE Research highlights the importance of breaking down silos and creating a connected ecosystem powered by advanced process intelligence.In the discussion, Thoma highlights the transformative role of Celonis in reshaping enterprise processes with AI-driven insights. By providing a holistic view, Celonis helps organizations tackle inefficiencies, enhance operations, and lay the groundwork for the agentic era. According to Thoma, future business models should focus on outcome-based operations, emphasizing the need for leadership to embrace organizational change to optimize processes and unleash the full potential of AI technologies.

In this episode, Rahul Auradkar of Salesforce provides an insightful discussion on Salesforce Data Cloud. Recognized as a pivotal force in the evolution of Salesforce’s platform, Data Cloud redefines traditional platforms by utilizing AI data programs, business intelligence, and machine learning models. The conversation illuminates how Salesforce’s metadata enriches customer interaction, creating a comprehensive map of customer journeys and enhancing business engagements.Auradkar delves into the unique value proposition of Salesforce Data Cloud. Drawing parallels with industry giants such as Databricks and Snowflake, he emphasizes Salesforce’s approach in integrating existing data infrastructure. With video hosts from theCUBE Research, the discussion highlights Data Cloud's role in amplifying data analytics and operational capabilities through its system of intelligence.Key takeaways from this discussion include the fluidity and integration capabilities of Data Cloud, which aid organizations in harnessing actionable insights. According to Auradkar, Salesforce Data Cloud not only bridges data silos but also enriches analytics beyond conventional methods, thus supporting a broader spectrum of applications and facilitating a seamless customer 360 experience. The dialogue also explores evolving customer personas and their interaction with Salesforce’s digital ecosystem.