Salesforce's Excitement for 2025 and the Role of Agents (01:04)Benioff shares his enthusiasm for the current technological moment. He explains that agents will help businesses operate at lower costs and improve key performance indicators (KPIs). Agents are being rapidly adopted, with Salesforce deploying its agent platform at scale and significantly reducing the workload on human support agents. "We are in an opportunity, I think, for all of our customers, to connect with their customers in this incredible new way that we call agentics or agents . . . we're witnessing something I think, that we've only seen in the movies."Salesforce's Market Position and Digital Labor (02:35)Salesforce is the second largest software company in the world, with a $38 billion market cap and $12.9 billion in cash flow. "I think we're one of the first enterprise software companies to deliver an agentic platform at scale with the level of performance and capability that everybody wants." Its platform, Customer 360, integrates various products, creating a comprehensive solution. It's well-positioned to address the issue of digital labor, which has the potential to transform businesses. Benioff says there's a multi-trillion-dollar total addressable market (TAM) for digital labor.The Importance of Data and AI in Salesforce's Strategy (10:30)Benioff outlines three core initiatives at Salesforce over the past 24 months: integrating acquired apps into the core platform, developing a high-performing data cloud, and enhancing the agentic layer. He discusses the importance of a unified data model and the integration of the data cloud with Salesforce's apps. AI and machine learning have made many advancements in recent years and while AI is not yet perfect, it has significantly improved over the past decade.Salesforce’s Core Values and Commitment to Partnership (15:29)Salesforce’s core values — trust, customer success, innovation, equality, and sustainability — have remained unchanged for 25 years. As Salesforce moves into new technological frontiers, including AI, Benioff stresses the importance of transparency, communication, and collaboration. "We are moving into a new world together, and we're going to be better together." He reaffirms Salesforce’s dedication to working closely with customers and welcomes them into the future of innovation and technology.The Role of Agents in Enhancing Human Potential (17:11)Benioff discusses the potential of agents to enhance human capabilities, citing examples from Disney and Gucci where AI has improved employee performance and customer satisfaction. "We also saw that in Gucci, for one of the call centers where we deployed this technology, revenue [rose] 35% because the agents were just making those employees just better." He touches upon the need for rebalancing roles within the company as AI takes over certain tasks, ensuring that employees are continuously skill-building and evolving.The Future of Agents and Applications (20:50)He addresses the misconception that traditional databases and applications will be entirely replaced by voice-driven AI interfaces, like those depicted in the movie Her. He explains that AI models are not data storage systems but intelligence engines that augment and extend existing capabilities. While AI is evolving rapidly, Benioff says that current enterprise systems still rely on databases, applications, and workflows. He clarifies that AI will complement these systems rather than replace them entirely.

Episode 48 | Enterprise Innovation Meets AI PowerThe Big Themes:Workday's Strengths: Workday is carving a strong niche in HR and financial data management, two areas ripe for innovation through AI. The company has identified talent management, recruiting, and onboarding as key areas where AI can drive efficiency and improve decision-making. This emphasis on HR tech makes Workday attractive to organizations looking to modernize their HR processes.Adoption Challenges: One of the biggest challenges in 2025 for AI in the enterprise software space will be customer adoption. Whether it's overcoming resistance to change, integrating new systems with legacy platforms, or ensuring employees have the necessary skills to use AI effectively, the road to widespread AI adoption can be bumpy. Vendors must provide practical, easy-to-understand use cases that demonstrate AI's value.Oracle's Complex Implementations: Oracle’s enterprise solutions are often criticized for their complexity, particularly when it comes to implementation. The flexibility that Oracle provides means customers can tailor solutions to fit their specific needs, but this level of customization often requires substantial technical expertise and time. Oracle’s challenge will be to find a balance between maintaining this flexibility and simplifying the implementation process.The Big Quote: “AI has to be able to cross multiple parts in multiple applications to synthesize all that information together. AI makes it easier for these systems to have integration, so to speak, as long as the provisioning is all within the same suite of products . . . For customers, having everything under the SAP umbrella or the Oracle umbrella or the Workday umbrella across multiple lines of business is, in the age of AI, going to be really helpful, because then your agents are able to be that much more effective."

Bill McDermott, CEO of ServiceNow and a tech industry veteran, delves into AI's transformative role in business strategies. He reveals how companies are shifting from curiosity to implementation of AI for better customer service and operational efficiency. McDermott highlights the concept of Agentic AI, emphasizing its ability to unify siloed functions for greater productivity. He also discusses the critical importance of customer trust as a foundation for innovation, showcasing ServiceNow's commitment to integrating advanced technologies and maintaining strong client relationships.

Top 10 CEO Outlook 2025 series. Krishna shared with Cloud Wars Founder Bob Evans the company's optimistic outlook for 2025 amid geopolitical and economic uncertainties. They also discuss IBM's shift towards software, its AWS and Palo Alto Network partnerships, and how Red Hat has flourished since joining IBM.HighlightsIBM's Optimistic Outlook (01:18)Despite current geopolitical and economic uncertainties, Krishna remains optimistic about technology's role, especially in terms of automation and AI, in driving business transformations. He notes there's an increased appetite for technology globally, including in Europe, as a response to these uncertainties. Technology is a way to deliver better services at lower costs, which makes it an exciting time for the technology business.Focus on Delighting Clients (03:41)IBM exists to serve clients, focusing on delighting them through technology deployment and support. Krishna discusses the importance of taking risks to innovate and the need to cut bureaucracy and unnecessary processes. He emphasizes that partnerships should be win-win scenarios. "Can we expand the pie in which case we both win because the client is happier?"IBM's Shift to Software and Impact on Clients (06:36)There's been a significant shift in IBM's revenue mix, with software now accounting for almost half of IBM's revenue. Krishna explains that software's flexibility allows for incremental improvements, unlike hardware, which often require more disruptive changes. IBM focuses on software and providing unique value to clients in automation, hybrid cloud, data, and AI.Enterprise Adoption of Large Language Models (10:05)Krishna talks about the current state of enterprise understanding of large language models, or LLMs: "If I look at the enterprise understanding of large language models and what we can do for them, it's like we're in the first innings of a baseball game." Krishna advises enterprises to move forward in three steps: First, start with low-risk applications like customer experience functions such as answering service calls, as well as internal enterprise functions. Second, move to a little more risky but not totally risky use cases, like accounts receivable, procurement, and supply chain. Then, step three is applying LLMs to things like oncology and diagnosis in healthcare -- vertical-industry-specific functions. The excitement is more on step three, but customers should initially focus on the first two, where there's a lot of value.Leveraging Automation to Drive Innovation (15:04)All enterprises understand the importance of running lean and using productivity gains to focus resources on high-value activities. Krishna shares that IBM has freed up resources by automating tasks, allowing for more R&D to develop innovative products. He notes that overall employment has increased, but more focus is on high-value activities that enhance growth rates.Red Hat's Growth and Role in Hybrid Cloud (16:59)Red Hat has had impressive growth since joining IBM. Krishna says it has more than doubled its revenue since joining IBM in 2019, now exceeding $6 billion. He explains that Red Hat is the leading hybrid cloud platform, allowing for flexibility in deploying workloads across data centers and cloud environments.R&D as a Growth Engine (21:40)R&D should focus on innovation and quickly bringing those innovations to clients. R&D is about identifying unmet needs. "Henry Ford was asked like, how did you think of the Model T? And his answer was 'Look, if I had surveyed my customers, they would have said they wanted a stronger horse or a longer whip, but the automobile was the right answer.' Krishna mentions that quantum computing is a key area of focus for IBM in terms of research and development.The Benefits of Strategic Partnerships (24:56)IBM's strategic partnerships impact client value and IBM's growth. Krishna notes that half of IBM's consulting team's revenue now comes from these partnerships. He provides the example of IBM helping Delta Airlines move to AWS, while integrating Red Hat and other tools to enhance the client's experience. Krishna talks about a new partnership with security software provider Palo Alto Networks that's expected to generate significant pipeline for IBM's consulting team.Final Thoughts and Future Outlook (27:56)Krishna encourages clients to assign technology the same importance as other critical functions like finance and marketing. "Do you give tech the same importance that you give your CFO?" He reiterates the importance of technology and the need for businesses to adapt to its rapid pace of change. Evans closes by observing that in 2025, there's potential for the Cloud Wars Top 10 companies to exceed $10 trillion in combined market cap.

Generative AI and Business Transformation (00:57)Klein discusses the increasing adoption of GenAI among SAP's customers. They see it as a way to improve productivity and business processes. Additionally, SAP software now integrates human language capabilities, enhancing user experience and efficiency. Customers' focus for 2025 and beyond is using GenAI and SAP Business AI to solve complex business challenges and orchestrate end-to-end business processes.Technology Investments and Business Outcomes (02:37)Among customers, there's been a shift from reconciling past actions to optimizing future planning and growth opportunities. "Now we are talking about business model transformation but also, how can agentic AI and Joule . . . help me to orchestrate my new business model." He explains how SAP's offerings help customers bring all business elements to the table for comprehensive transformation.AI's Tangible Benefits (04:10)Proving the outcomes of AI investments is critical in times of financial pressure. SAP's Business AI offerings are designed to demonstrate tangible business benefits, such as improving the quote-to-cash process. "We make sure that you can quote more intelligent, that you can sell more, that you can price more effectively, and that you can run all the fulfillment processes in the back end way more productive. Then the customers [says], 'Absolutely, I'm all in for buying more AI units from SAP'."End-to-End Processes and Customer-Centric Approach (06:39)Klein discusses the cultural shift towards end-to-end processes that meet customer needs and explains how SAP's AI Foundation and tools are agnostic to various large language models. SAP's suite of offerings provides a unified approach, avoiding the silos created by working with multiple tech companies.The Rise of Agents (08:24)Agents are ascendant and playing a significant role in driving better business outcomes. Klein provides a concrete example of how agents will collaborate in demand, supply chain, and procurement processes. He explains how agents collaborate, to "[make] sure the customer gets an extremely valuable output end to end." Orchestration and Collaboration of Agents (10:59)Klein describes how SAP's generative AI assistant, Joule, can help orchestrate agents across different end-to-end processes. "Joule can help you to predict demand with our sales agent and Joule orchestrates to work with the supply chain agents on the inventory side, and then Joule helps, you know, to orchestrate the work, you know, with the procurement agent."SAP's Growth and Future Vision (12:44)SAP has had significant growth in applications, outpacing competitors. Klein attributes this to SAP's suite approach, which provides a comprehensive solution for core business processes. He talks about the importance of integration and extensibility, allowing customers to choose the best solutions for their needs.Under Klein's leadership, SAP has transformed into a cloud and AI-focused company. Klein discusses SAP's vision as an end-to-end solution provider, delivering continuous innovation and enabling holistic business transformation. He explains, "The perception is yes, SAP is really delivering end-to-end solutions to me, but they [are] also helping me because they have a ton of industry knowledge, they have a ton of business process knowledge, and they are by far more than only a technology partner, they are also helping me with RISE and GROW, a kind of a methodology on how to transform my business."SAP Management Team and Final Thoughts (19:56)SAP has a strong management team, including new executives from Microsoft and other top companies. Klein expresses confidence in SAP's ability to continue delivering value to customers and partners. The conversation concludes with his encouraging everyone to embrace the new year with enthusiasm in particular for the opportunities of agentic AI and Joule to drive business outcomes.

 Customer Mindset and Priorities in 2025 (01:47)The current climate of geopolitical and economic uncertainty is driving the need for speed and agility when delivering value to customers. Google Cloud customer projects that do just that include improving logistics at UPS, enhancing search functionality, and boosting customer service at Hanesbrands and Macy's. "Uncertainty means the great CEOs want action," Kurian says. "You control the controllable, and you do that by improving speed in your organization." Kurian also discusses significant AI integrations, such as Google Cloud's collaboration with Samsung on its phones and Snap’s in-app coach, which are shaping the future of customer interaction.Cloud and AI as a Continuum (04:08)Kurian explains that cloud services actually simplify the deployment and management of AI because they provide models and accelerators as services, reducing the complexity of managing AI systems. In turn, AI helps to streamline cloud services by enabling faster and more efficient application development. Customer examples of how cloud and AI work together to deliver innovative offerings can be found in AI-driven risk calculations at Hiscox, tailored advertising for Puma and Radisson, and content discovery for Warner Brothers Discovery.AI's Impact on Business and Productivity (07:48)AI is no longer confined to IT departments but is now influencing a wide range of business functions. It's improving productivity by streamlining operations, such as facilitating live patient handoffs at hospitals. "Allowing the nurses to do live handoff to another nurse means more time at the bedside. It means more productivity."AI is also enhancing product development by enabling customers to articulate complex needs, which AI can then translate into tailored recommendations. Furthermore, AI’s role in call center automation is improving efficiency by handling high volumes of customer inquiries and providing superior service.Customer Service and AI Integration (13:01)Google Cloud's approach to integrating AI with customer service helps businesses create more cohesive and efficient customer experiences by improving reach, understanding, and interactions across multiple channels. Kurian discusses innovations such as the self-service retail search at InterContinental Hotels and digital concierge services for Orange. AI agents manage customer queries, upsell products, and improve service efficiency in call centers.Cost Optimization and Efficiency in AI (15:52)There are several ways in which Google Cloud is addressing the challenges of AI tool affordability. Kurian outlines initiatives aimed at improving the efficiency of AI, such as new software capabilities and optimizations to AI models. In the last six months, Google Cloud has significantly reduced costs, with model costs dropping by more than 10 times. Additionally, improvements in latency and the reduction of AI response iterations are also helping to make AI more efficient and cost-effective.Customer Acknowledgment (18:46)In closing, Kurian expresses his gratitude to Google Cloud’s customers, partners, and all those who have supported the company’s journey. "To every customer, every partner, everyone who gave us a shot, you were the reason that all of our people worked so hard. Thank you."

AI Adoption and Business ValueEschenbach explains that there's been a shift from experimental AI phases to practical implementation. The shift means that "customers are going to look to go to trusted partners, partners they have an existing relationship with, partners that they know have a highly curated set of data." Workday has such a curated data set. Further, as part of the shift, there's now a need for ROI and total cost of ownership analysis in AI investments.CEO Priorities for 2025 AI, enterprise consolidation, and talent are Eschenbach's key priorities for 2025. When it comes to talent, he says CEOs and other leaders need to think about how "that talent is going to ultimately peacefully coexist with AI and things like agents in the future." He also discusses Workday's AI mindset — it's not just about delivering it to customers but also successfully integrating AI internally — along with AI's role in driving productivity. Customers are looking to do "more with less." They want to consolidate point solutions onto more comprehensive platforms like Workday.AI Deployment and Talent Integration CEOs should foster an AI-first culture. Eschenbach provides examples of AI use cases, such as job description automation and recruiter agents, showcasing the tangible ROI and productivity gains in HR and finance. Integrating AI with existing talent helps drive business benefits.Competitive Advantages and Market Position Workday's success stems from its technology, large client base, and on-time delivery. "Our customers have greater than a 95% on-time delivery of the Workday platform and on budget," Eschenbach points out "We know how to deploy this at scale across the biggest companies in the world, which gives us a leg up versus our competition, who, at times, have very complex data sets and environments and can't implement at the speed and pace and at the dollar value that a Workday can." Other Workday attributes include its platform's open architecture, as well as its strong company culture and high levels of employee engagement.Partner Growth and International Expansion Eschenbach reports significant growth in the partner community and its impact on business. "Historically, we've had really good partners . . . 10% of our new business in New ACV [annual contract value] last quarter came from our partners. Our partners are having a meaningful impact on our business. We have grown our partner community by five times in 18 months." He speaks about the focus on selling through hyperscalers and forming strategic partnerships, as well as the potential in international markets and continued investments in new sectors, such as the U.S. federal market.Data Set and AI Partnerships "We're opening up the aperture," Escenbach says, explaining how Workday is tackling AI. "We're thinking about AI in multiple ways." Curated data is essential for AI tools. Eschenbach discusses the Workday platform's integration with Slack and Microsoft to enable agent-to-agent communication, underscoring that data is important in powering AI tools and delivering customer benefits.Innovation and External ConcernsIn the face of the potential impact of global macro situations, there's a need to stay focused on innovation."We focus on innovation, and we focus on each other here inside the building and our workmates, and we continue to support our partner ecosystem on a global basis. So while there are some concerns out there, if you focus too much on them, it's a distraction."

HighlightsCustomer Boldness (00:21)In previous keynotes, Catz has encouraged customers to be more bold – and customers are responding to that. Oracle’s cloud business is growing at a rate of 50% a year. “More and more of our customers are willing to not only jump in with one foot but their entire bodies because they’re getting more comfortable and they’re also seeing that competition is moving,” Catz says.“Transformation and transforming yourself and modernizing yourself, that is not a destination; it’s a constant journey.” Businesses are recognizing that they become more adaptable to meet customer expectations when they embrace these new technologies.Multi-Cloud Agreements (04:25)Multi-cloud agreements with Microsoft, Google Cloud, and AWS kicked off in 2024. “We have always believed that the customer should get to choose what they want to use and what environment they want to run in and how to really advance their agenda,” Catz expresses. Oracle doesn’t believe in building walls or trapping customers; being open to this idea is central to Oracle's success. Because Oracle Cloud has different capabilities, the company has been able to collaborate with other providers to make their offerings work together to best meet customer needs.Healthcare Industry Offerings (08:55)Oracle has put extra energy into its industry suites, particularly for the healthcare industry. It aims to be able to handle everything from clinical trials to inventory to nursing schedules and more. At a recent health summit, Oracle launched new AI-powered capabilities for healthcare. While the company competes in several industries, Oracle acquired Cerner because “we knew that we needed to bring healthcare into the 21st century.”Larry Ellison previously shared that “we can’t do it alone.” This means partnering with customers and being open to partner with other companies to apply their capabilities to ensure a quality customer experience is being delivered for patients, doctors, administrators, and others in the healthcare industry. “Do more, spend less doing it – that’s our job, to give them that ability,” Catz summarizes.Revenue Goals (17:06)At its financial analyst meeting last fall, Oracle released its vision for $100 billion in revenue a few years out. Catz describes what that will look like within Oracle and how customers will contribute to the company achieving those figures. “We’re telling you now, every year is going to be bigger and accelerating more,” Catz says. “The way that that curve works – it’s almost unstoppable once it starts.”Cloud Data Centers (22:30)Oracle has been developing cloud data centers that are “small enough to go on a ship” as well as what Ellison has called the world’s largest data centers, Evans notes. This will be important to Oracle customers in the coming years and beyond because “it gives them flexibility,” Catz explains. “We can start at any size and expand as they need it.”Ellison and New Products (24:59)2024 was a busy year for Ellison and 2025 will continue in the same manner. “This fellow does not rest,” Catz says. The Oracle team loves the new capabilities and new product lines that they’ve been rolling out to customers that there are no signs of slowing down.

The Future of AI and Data in 2025:  There's a lot of excitement and prototyping around AI. "People are excited that they can ask questions and get real answers instead of getting the proverbial 10 blue links. I think people see the promise of things like that. How do you make that work at scale? How do you make that work in a reliable way, and how do you make it work in a way that's not expensive?" Ramaswamy shares a recent experience in India, describing the cost-consciousness of customers and the focus on making data accessible and valuable.Shifting Priorities for Snowflake Customers:  What do customers want? Ramaswamy identifies goals including empowering business users with data faster and unlocking the value of unstructured information. In response, Snowflake is helping customers access and utilize historical information and build hybrid systems. He notes that SQL enables easier data transformations and extractions.Cultural Change and AI Adoption: Cultural change is required for companies to handle AI. Even within Snowflake, adopting AI has been a challenging process. Snowflake's engineering and sales teams are beginning to use AI tools like Copilot and Cortex, but there's a need for ongoing practice to fully integrate AI into daily operations. The Promise of AI and Data Platforms: AI has the potential to free up significant time for employees, allowing them to focus on higher-value tasks. Snowflake aspires to make data platforms simple and accessible, allowing users to perform complex tasks with ease. Its consumption model has several benefits and aligns it with business goals of making more money or spending less. Companies like Siemens are using chatbots to improve efficiency and access to information.Competition and Innovation in the Data Market: Competition, Ramaswamy says, drives innovation and improves products. It only strengthens Snowflake, which stands apart due to its unified platform, tight integration, and ease of use. "If you create a chatbot with Snowflake, it will automatically obey all of the access control rules that you have set up. It will automatically obey all of the data masking that your administrator has set up." Ramaswamy discusses the challenges of balancing innovation with maintaining simplicity and efficiency in Snowflake's product offerings.Mega Trends and Challenges for Snowflake: Ramaswamy sees two mega trends for 2025: the rise of interoperable data formats and the acceleration of AI. Snowflake is well-positioned to take advantage of these trends through its end-to-end offerings and data engineering capabilities. However, there are challenges to maintaining data quality and speed while innovating rapidly. AI tools like agents must drive real utility and value for customers.Data Literacy Initiative: One Million Minds Plus One: Snowflake has a new initiative aimed at improving data literacy. Data can be difficult to interpret, and the right skills are necessary to do so. Snowflake is spearheading an ambitious program to educate over a million people in data literacy, free of charge. The initiative includes teaching concepts like data engineering, data analytics, and using BI tools and notebooks for interactive analysis.Excitement for 2025: Sridhar expresses excitement about the potential for AI and data to drive real business transformations in 2025. Snowflake will continue to play a vital role in helping customers become truly data-driven organizations. Navigating growth, competition, and innovation while maintaining simplicity and value for customers is key.

The Big Themes:End-to-End Integration Is a Necessity: In today's fast-paced business environment, success requires a holistic, end-to-end understanding of operations. Organizations must break out of traditional silos. A great CIO and IT team must focus on connecting these silos, ensuring seamless workflows across the organization. This perspective enables businesses to optimize processes, meet customer expectations, and avoid inefficiencies.Logistics as a Strategic Advantage: Companies that excel in managing their supply chain —from sourcing to delivering products to customers — gain a competitive edge. In contrast, companies that neglect logistics risk disappointing customers with out-of-stock items or poor service. Sadin also underscores the complexities of modern global supply chains. Businesses need visibility into every link of the chain to anticipate risks and adapt proactively. This logistical foresight allows organizations to maintain customer loyalty and operational efficiency, even amid uncertainty.Strategic Iteration and Integration Is Key to Progress: Sadin stresses the importance of iterative improvement rather than overhauling systems entirely. His "patch, polish, then perfect" strategy encourages retailers to enhance existing systems incrementally, using tools like robotic process automation (RPA) to connect and optimize processes in the short term. Additionally, Sadin warns against delaying action, likening hesitation to "sitting on a sharp fence," which risks falling behind competitors.