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.

TheCUBE Research’s Dave Vellante and George Gilbert talk with Salesforce CEO Marc Benioff from theCUBE Studios in Palo Alto, CA and Boston, MA. Summary Points• Agents are driving a "digital labor revolution." Salesforce is targeting 50% productivity increases in its own engineering and services teams this year.• Digital labor market will have a value of $3-12 trillion, far exceeding the current enterprise software market of ~$500 billion. That is the magnitude of the transition to Service as Software from the current Software as Service. We’ll access these services through an Agent Store.• Salesforce is building a tightly integrated three-layer architecture: applications (Sales/Service Cloud, Slack, etc.), unified data repository (Data Cloud) and an "agentic layer,” (Agentforce).• Benioff embraced our idea of them as a "software hyperscaler." They federate bi-directionally with data platforms such as Databricks and Snowflake. But Data Cloud federation makes the data more valuable because it then enriches it into a 4D map of customer-related data for Tableau, the Customer 360 apps, agents, etc. That "data fluidity" enables agents to access information across previously siloed systems, including legacy applications.• Benioff rejects Satya Nadella's assertion that SaaS will disappear and agents will talk directly to database schemas, arguing that proper governance, metadata and other deterministic mediation elements will remain essential. But we’re still waiting for Salesforce’s Klarna moment - a transformational customer showcase.Agent productivityBenioff compares today’s excitement to Salesforce’s early startup days. He says today’s CEOs represent “the last generation of executives leading exclusively human workforces.” He’s pushing this vision internally, aiming for 50% productivity gains in engineering, services and support via “agentic layers,” expecting annual compounding gains.Digital laborSalesforce’s expected $40.9B in annual SaaS revenue sits within a $500B enterprise software market — but the digital labor market could reach $3-12T. Agent-driven digital labor shifts SaaS to SaSo, a foundational transformation. Customer stories such as OpenTable’s show productivity jumps unimaginable just a year or two ago. Services will be shared through an Agent Store, akin to Apple’s App Store.Salesforce integration vs DIYSalesforce’s AI architecture includes three integrated layers. It’s doing the “heavy lifting” by rebuilding core apps in the Data Cloud, which merges internal and external data into a rich 4D business map. Tableau, rebuilt on this foundation, now operates fluidly across Sales Cloud, Service Cloud and Slack. Agentforce completes the stack. In contrast, DIY integration is viable only for the most advanced companies — and even then, struggles with reliability.Becoming a software-only hyperscalerSalesforce is evolving into a “software-only hyperscaler,” delivering cloud-scale apps and platforms without building data centers. Its Data Cloud federates with external data platforms and breaks silos, making data more useful. One example: Disney’s “agent fluidity,” where AI agents simultaneously access guest preferences, ride availability and other inputs to offer coordinated recommendations at scale — beyond what human staff could achieve alone.Answering Nadella’s contention that SaaS goes away with agentsMicrosoft CEO Satya Nadella claims SaaS will dissolve into the agent layer as agents tap database schemas directly — but Benioff dismisses this as trolling. Simply dumping data into a massive repo via a discovery API and letting employees loose is a governance nightmare. Metadata, controls and deterministic software layers remain essential, even with non-deterministic agents on top. We challenged Nadella’s jab about Microsoft 365 Copilot being like Clippy, but Benioff noted Salesforce could still federate its data into Data Cloud. On a Klarna-style AI moment, Benioff declined to give a timeline.

During theCUBE's "Road to Intelligent Data Apps" podcast, Savannah Peterson and George Gilbert talk with Salesforce's Muralidhar Krishnaprasad (MK), president and CTO of agents, AI, data, Mulesoft and Tableau, and Alice Steinglass, EVP and GM of platform, integration and automation.Krishnaprasad and Steinglass share their expert insights on Salesforce's agentic platform and its foundational role in modern enterprises. They discuss the importance of combining structured and unstructured data to empower intelligent applications.Key takeaways include the strategic implementation of Salesforce's data-driven artificial intelligence to streamline business processes. The discussion highlights how agentic AI is pivotal in enhancing user experiences in complex environments, such as airports. The importance of application programming interfaces and seamless integration to maximize business value is also emphasized. This conversation underscores the advancing context of data and its governance in digitally transformative organizations.Find more SiliconANGLE news and analysis https://siliconangle.com/Follow theCUBE's wall-to-wall event coverage https://siliconangle.com/events/Learn about the latest theCUBE events https://www.thecube.net/00:00 - Intro00:05 - Foundations and Applications of Agentic AI03:00 - Adaptive Strategies and Innovative Technologies06:22 - Recap on Data Cloud and Use Cases09:20 - Understanding Data Fabric and Metadata11:50 - Semantic and Analytical Integration: The Role of Data Clouds14:22 - Myths and Challenges of Agentic AI Adoption18:10 - Streamlining Connectivity: A Heathrow Case Study on Complex Automation Challenges24:36 - MuleSoft’s Role in Integration28:34 - Deterministic vs. Agentic Workflows34:27 - Combining Data Graph with KPIs40:22 - How AI and Agents Get Smarter50:49 - The Future of Managed Agent Networks: Final Thoughts and Closing Remarks#Salesforce #AgenticPlatform #IntelligentDataApps #EnterpriseTech #BusinessValue #DataIntegration #AIApplications #MuleSoft #Customer360 #theCUBE

In this insightful episode, Srini Tallapragada and David Schmaier of Salesforce delve into the evolving landscape of intelligent data applications. They discuss how AI and data-driven systems transform traditional business processes, offering greater agility and improved outcomes. TheCUBE analysts, Dave Vellante and George Gilbert, guide the conversation, exploring Salesforce's vision and future as a potential software leader. Find more SiliconANGLE news and analysis at https://siliconangle.com/.Key takeaways include Salesforce's strategy to transition from software as a service to service as software, underscoring the significant market opportunities this shift presents, according to Schmaier. Tallapragada elaborates on the robust platform built by Salesforce, emphasizing its potential to revolutionize customer engagements with real-time data technology. Follow theCUBE's wall-to-wall event coverage at https://siliconangle.com/events/ and learn about the latest theCUBE events at https://www.thecube.net/. #Salesforce #AI #IntelligentDataApps #DataCloud #Agentforce #SiliconANGLE #CyberResiliencySummit #CX #AIInBusiness00:00 - Intro00:05 - Advancements in Intelligent Data and AI-Driven Transformations02:39 - Empowering the Future: Agentic AI and Salesforce's Vision06:57 - Seamless Integration: Salesforce's Unified Platform and Data Cloud Solutions12:08 - Real-Time 360 Customer Profile15:58 - Future with Semantic Models and AI Agents20:44 - Building a Digital Labor Platform27:19 - Data Platform Differences and Security Considerations32:47 - Evolution of BI and Unified Analytics36:41 - Model Learning and System Intelligence40:08 - Enhanced Performance in a Multi-Agent Environment43:44 - Integrating Systems and Expanding Reach: The Agent's Role Beyond Customer Data46:43 - Consumption Model and Future Expansion51:34 - Enhancing Developer Tools and Partner Ecosystems56:24 - Final Thoughts on the Future of AI in Business

Nate Weaver, product lead at Tableau, joins an engaging discussion on advanced data analytics' future, hosted by Savannah Peterson and analyst George Gilbert of theCUBE. With nearly 20 years in analytics, Weaver focuses on the challenges and innovations in the semantic layer, key to simplifying the complex landscape of data for various organizational roles. They explore how Artificial Intelligence enhances natural language processing to surface actionable insights in the data realm, significantly transforming business analytics.Weaver emphasizes the importance of a unified semantic layer as a "common language" benefiting both human analysts and AI agents, facilitating better decision-making by connecting user inputs to reliable data queries. According to Weaver, this advancement enables a synergistic interaction between humans and agents, driving efficiencies and reducing the dependency on traditional methods. Through this dialogue, viewers gain insights into the evolving role of data analytics in improving enterprise capabilities and strategies.