Cloud Wars Live with Bob Evans

Creating Value with Teradata

The Big Themes:

• Open Table Formats: Datasets are one of the most common ways that organizations use open table formats, as it enables them to combine several types of data and access that data. Open table formats are improving performance which will help drive a more flexible, low-cost storage option for enterprises. Having this level of customer choice will drive greater adoption and outcomes for customers deploying open table formats over time.
• Trusted AI: Trusted systems require access to data, but it must be properly managed data. Open table formats can help with trusted data progression, such as reducing data duplication by consolidation and providing a single place of oversight. As open table formats match agility and flexibility with the appropriate levels of governance, it can deliver trusted outcomes that overflow into providing trusted AI.
• Driving Customer Value and Success: Providing customers with opportunities for success is the ultimate driver. For example, Teradata supported a call center that wanted to improve customer satisfaction and outcomes based on the call center data. Teradata provided the organization with text analytics, large language models, and more being driven through a Teradata analytic model engine that provides real-time advice to agents.

The Big Quote: “We’ve always said, ‘Whoever has access to the most data can win in the analytics space.’ So, open table formats are a key component of really helping companies create an environment of trust around the data because without trusted data, you can’t have trusted AI.”

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Google Cloud Data Innovations

The Big Themes:

• Integration of unstructured data with AI: Google Cloud is shifting how enterprises leverage their data by integrating unstructured data (which makes up 85-90% of all data) with structured data through its BigQuery multimodal data foundation. This integration allows for a more comprehensive data landscape where AI models can seamlessly access and analyze both types of data. This approach addresses the limitations of traditional data systems and unlocks new potential for AI-driven analytics.
• The role of partners in maximizing AI and data value: Google Cloud’s service partners implement solutions and bring industry best practices to customer environments, while independent software vendors (ISVs) build applications that leverage Google Cloud’s data and AI tools. Programs like the Google Cloud Ready (GCR) initiative streamline integrations.
• Integration challenge: The challenge for organizations lies in connecting disparate data sources, such as operational data from systems like SAP and CRM data from Salesforce, with analytics tools to enable real-time decision-making. Google Cloud addresses this by developing connectors, such as Cortex.

The Big Quote: “We are coming to the Third Age in data, which is going to divide data systems. It’s not just about having lots of one data type… it’s having the broadest possible set of data signals you can bring together. That idea of wide data systems means combining all of your data signals, structured and unstructured, into one unified system."

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AI-Powered Cloud Transformation Insights

The Big Themes:

• Google Cloud's strategic growth and AI integration: Google Cloud has experienced unprecedented growth, becoming a leading cloud provider by evolving beyond traditional cloud services. Integrating AI into its offerings is a significant factor in this growth. The focus has shifted from merely migrating existing workloads to using AI to transform business processes and models. This includes innovative applications of GenAI.
• AI-driven business transformation across sectors: AI plays a pivotal role in reshaping business operations across various industries. For example, in retail, AI optimizes supply chains and reduces environmental impact, while in the automotive sector, it enhances digital engagement and customer interactions. The use of AI enables companies to reimagine their business models, achieve operational efficiencies, and deliver personalized experiences.
• The role of data foundations: A robust data foundation is crucial for leveraging AI effectively. Google Cloud’s data platform provides the essential infrastructure for eliminating data silos, enhancing data labeling, and performing complex predictions. This foundational support is integral to deploying AI applications that drive personalized marketing and operational efficiencies.

The Big Quote: "We've always believed [that] Google and its ecosystem is truly a one plus one equals three. From an ecosystem perspective, I mentioned how we've always believed in an open platform strategy. Whether [the] technology provider has something that is complementary [or] overlapping, we embrace the technology company to build on our platform and offer those solutions through our marketplaces so customers have a choice."

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Episode 43 | Upcoming Conference Insights

The Big Themes:

• Upcoming HR and tech conferences: Oracle CloudWorld will cover AI in Fusion Applications, Oracle's autonomous database, and cloud innovations, with keynotes from Safra Catz and Larry Ellison. Workday Rising will focus on employee empowerment, new global payroll offerings, and AI in HCM. The HR Technology Conference will explore AI solutions for HR functions and system integration. SAP SuccessConnect will showcase global human experience management, AI-enabled learning, and cloud migrations.
• AI-driven decision-making and transformation of work practices: The conferences will spotlight how AI tools can enhance decision-making by analyzing data to predict business outcomes, while also transforming work practices. This transformation includes reducing administrative tasks and improving efficiency.
• Interconnectedness of systems: The conferences will also feature a strong emphasis on breaking down organizational silos and improving system integration, especially among larger ERP vendors. The aim is to enhance visibility and streamline operations across different departments.

The Big Quote: “What are the partners doing to bring innovation to the forefront? How is [the] implementation of these products changing in light of AI and generative AI? Those would be the main takeaways that we're hoping to see from CloudWorld."

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Trusted AI Models and Strategies

The Big Themes:

• Data reliability: After conducting a survey, Teradata found that 40% of executives don't trust their own data to generate accurate AI outputs. AI requires traceability and transparency around where data comes from. Teradata helps combat this disconnect by providing access and opportunities for companies to use their data in more compelling ways to achieve the business outcomes they're looking for.
• 3 Pillars of AI: Teradata recognizes people, transparency, and value creation as three core elements of AI. Having clean data that you can trust is critical. Ensuring ROI on the AI investments to create value is essential. Having a process that provides better compliance, governance, and security is vital.
• AI strategy: Business leaders and the C-suite must understand their own inputs and outputs to make the company better. Teradata believes in building Trusted AI models to ensure businesses have outputs they can rely on.

The Big Quote: “We believe that trusted AI is really the way that people, data, and AI work together...Ultimately, it is the responsibility of the people that are managing those environments, using that data to ensure and determine that it's used in the right purposes."

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Cloud Tech in Banking

The Big Themes:

• Principles and people-centered transformation: Core principles such as standardizing processes and ensuring data integrity drove Standard Chartered's transformation. The transformation was not merely about technology but about enabling its people to perform their jobs more effectively. This people-centered approach ensured that technological changes translated into real, practical improvements in daily operations.
• Strategic partnership: SAP provided a robust platform that supported Standard Chartered's data strategy and operational needs across diverse markets. Falk Rieker noted the significance of programs like RISE with SAP and GROW with SAP in facilitating the bank's transition to the cloud, addressing regulatory requirements, and enhancing process efficiencies.
• Leveraging data and AI for future innovations: With a unified data environment, Standard Chartered can leverage advanced technologies like artificial intelligence to drive better business insights, efficiency, and sustainability efforts. This strategic approach positions the bank to quickly implement new tools and capabilities.

The Big Quote: "When we embarked on our transformation, it was not to transform the technology, it was to transform our finance and treasury functions that supported the bank . . . we picked the best platform that would support that target operating model and support that transformation . . . So, we went into this with SAP."

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AI & Data in Construction

The Big Themes:

• AI in construction: Artificial intelligence (AI) is reshaping the construction industry by automating routine tasks and enhancing project management. Tim discusses AI's capabilities in predictive maintenance, which prevents equipment failures and reduces downtime. Additionally, AI-driven tools assist in optimizing construction schedules and managing labor resources.
• Strategic workforce management: Proper workforce management is essential for maximizing productivity and profitability. It's important to align skilled workers with the right roles and invest in their continuous training. By ensuring the team is well-trained and strategically deployed, construction companies can significantly improve project outcomes and maintain high productivity levels.
• Focus on margins: To improve profit margins, construction firms must implement stringent cost management practices. There's a need for detailed project planning, budget controls, and efficient expense management. Monitoring costs meticulously and optimizing resource use help maintain profitability.

The Big Quote: "We never want to remove the human element, we just want to accelerate the decision-making process by having all of the number crunching and the trend analysis being done by the technology."

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Episode 42 | Workday Partner Insights

The Big Themes:

• Role of Workday Marketplaces: The Workday Marketplace and the Workday AI Marketplace help customers find partners and specific products tailored to their industry, geography, and particular needs. These centralized resources streamline the search process, enabling customers to make more informed decisions and leverage the most suitable innovations and services for their business objectives.
• Categories of Workday partners: Workday partners can be categorized into sales partners, services partners, and innovation partners. Each type serves a different role, from selling offerings to implementing and supporting them, as well as creating complementary products. Understanding these distinctions helps customers identify the right partner for their specific needs, ensuring a more tailored and effective offering deployment.
• Risks and benefits of rapid implementations: While rapid implementation methodologies can offer quick solutions, they come with fixed scopes and potential risks. Customers need to be cautious and aware of the trade-offs between speed and thoroughness to avoid costly reworks.

The Big Quote: "It's really important for customers to understand. If you're looking at a partner, where is their core expertise? Are they sales? Are they services? Are they innovation? Are they all three? And what is it that your organization needs?"

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Episode 52 | Cloud Innovation Impact

The Big Themes:

• Cloud industry dynamics: Wayne discusses the competitive landscape of cloud computing, emphasizing Oracle's evolving strategies to compete with giants like AWS and Microsoft Azure. He discusses how Oracle's Autonomous Database and other innovations are crucial in this race, reflecting broader trends toward automation and efficiency in enterprise IT.
• Multi-cloud strategies: The discussion covers the strategic advantages of multi-cloud environments, where organizations leverage multiple cloud providers to optimize performance, mitigate risks, and enhance flexibility. Interoperability and workload distribution play an important role in multi-cloud strategies. Enterprises increasingly adopt a multi-cloud approach to avoid vendor lock-in and maximize operational efficiency.
• Strategic insights: Wayne advises businesses to prioritize alignment between IT and business goals when adopting cloud technologies. Strategic planning, stakeholder engagement, and continuous evaluation of cloud investments are necessary to ensure they contribute effectively to organizational growth and competitive advantage.

The Big Quote: "We at IT shouldn't be so proud that we say, 'Well, only this cloud provider works.' We've got to accept the fact that we live in a multi-cloud world, we've got to accept the fact that pieces of infrastructure talk to each other across these interfaces (cloud interfaces, database interfaces)."

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Episode 42 | ServiceNow's AI Partner Strategy

The Big Themes:

• Shift in ecosystem strategy: Companies like ServiceNow are shifting from viewing partners as mere distributors or implementers to integral parts of their business strategy. This shift emphasizes collaboration and joint value creation rather than just sales margins, marking a significant evolution in how large vendors approach their partner ecosystems.
• Types of ServiceNow partners: ServiceNow partners are categorized into four main groups: resellers, service providers, consulting and implementation partners, and build partners. Each type utilizes AI differently and contributes to the ecosystem uniquely.
• Emphasis on proof and customer satisfaction: Amid the excitement around AI and ecosystem expansion, there's a strong emphasis on tangible results and customer satisfaction. Potential customers are advised to verify partner capabilities through proof of successful projects and customer references. Due diligence is critical in selecting partners for AI-driven initiatives.

The Big Quote: "It's no longer about 'How can I reduce expenses?' or caring about the bottom line. I think it's this realization that customers have to say, 'How can I use the art of what's possible now with AI to make ourselves into the next Uber or Airbnb and change what we're doing in our industry?'"

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