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AWS Executive Insights

Generative AI

Unlocking the value of generative AI for business leaders

A CTO’s POV: Speaking With Your CEO About Agentic AI

Join AWS Enterprise Strategists Arvind Mathur and Matthias Patzak as they explore how technology leaders can effectively engage with their CEOs about agentic AI. Drawing from a LinkedIn blog Matthias recently published, this episode reveals five essential steps for success: focusing on business impact over technology, building cross-functional transformation teams, picking the right use case, running parallel pilots at scale, and measuring real business outcomes. Whether you're a technology leader looking to drive 10X value from your AI implementations or a business executive exploring AI’s transformative potential, this discussion offers valuable insights for navigating the agentic AI revolution.

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Gen AI conversations on the Executive Insights podcast

Driving Invention with the Latest in AWS Generative AI

Dr. Swami Sivasubramanian, VP of AI & Data at AWS, discusses key developments and strategies in artificial intelligence. He emphasizes AWS's comprehensive approach to generative AI innovation, addressing challenges like model accuracy and data integration.

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A Chief AI Officer’s Perspective on Leading AI Transformation and Governance

Join AWS Enterprise Strategist Tom Soderstrom as he sits down with Ron Keesing, Chief AI Officer at Leidos, for an insightful discussion on leading enterprise AI transformation. As a newly minted CAIO, Keesing aims to infuse AI into Leidos' strategy at every level, moving from centralized AI projects to a distributed model of excellence across the organization.

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AI & Data Strategy in F1

Join Richard Taylor as he sits down with Ruth Buscombe, a distinguished Formula One strategist who transitioned from aerospace engineering to becoming a leading strategist for top Formula One teams. In this insightful conversation, Buscombe shares her expertise on decision-making, team leadership, and the delicate balance between data-driven strategies and human elements in high-stakes racing environments.

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Charting the AI Frontier

In this fireside chat, AWS’s Tom Godden sits down with Matt Fitzpatrick, former Senior Partner of QuantumBlack, AI by McKinsey and current CEO of Invisible Technologies. Drawing from his experience leading major enterprise AI initiatives, Fitzpatrick reveals why only 8% of AI models succeed and outlines practical strategies for scaling AI in your organization.

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Exploring the Possibilities of Digital Twin & AI at the Edge

Dr. Burkhard Boeckem, CTO of Hexagon, reveals how the company is pushing the boundaries of industrial innovation by combining AI at the edge with real-time digital twin analytics to unlock unprecedented levels of operational insight directly at the source. Whether you're a technology leader exploring digital twin implementation or an executive looking to leverage edge computing for competitive advantage, this discussion offers valuable insights into the future of industrial digital transformation.

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Generative AI foundations

Generative AI will be transformative for every industry and line of business. Learn from executives about the importance of strong security and cloud foundations, skilling your workforce, AI leadership, and implementing this technology responsibly for AI business transformation.

Generative AI adoption poses significant security challenges and risks. Learn mitigation strategies and best practices now.

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Integrating AI and ML into your business requires a skilled and diverse team of professionals, emphasizing the need to invest in workforce skilling. Learn how executives are preparing their teams for emerging technology with a sound enterprise AI strategy.

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EA Rockett, VP of Legal at Adobe, shares how his organization starts with AI ethics rather than policies and procedures to create a foundation for responsible AI implementation.

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Learn how to fuel innovation and generative AI transformation in business, starting with a solid cloud strategy.

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AI Agents: The New Frontier of Enterprise Security

Explore the future of enterprise security with Abnormal AI's CIO Mike Britton, as he reveals how next-generation security operations are evolving to combat machine-speed threats. As both a security leader and AI innovator, Britton shares his advice for implementing effective agentic AI governance while maintaining operational agility.

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Generative AI is the Answer: What Was the Question?

Generative AI is not just a buzzword, but a game-changing technology on par with historical innovations like the printing press and electricity. Join AWS Enterprise Strategists Tom Godden, Phil Le-Brun, and Miriam McLemore, as they discuss how to harness the power of generative AI for value-driven outcomes.

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Resources

The easiest way to build and scale generative AI applications with foundation mode.

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A generative AI–powered assistant designed for work that can be tailored to your business.

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Build, train, and deploy machine learning models for any use case with fully managed infrastructure, tools, and workflows.

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Frequently asked questions about generative AI and machine learning

Generative AI is transforming the business world by injecting a new level of intelligence and creativity into everything from daily operations to strategic planning. It's essential for CEOs and all leadership to grasp its potential, implications, and the necessary considerations to implement it in an effective way.

Generative AI models are trained on vast datasets, enabling them to generate coherent, contextually relevant outputs that range from text to design patterns. They can predict potential outcomes and even create human-like conversations and responses.

Operational efficiency is a primary advantage of this technology. Generative AI can automate tasks like content creation, data analysis, and customer interaction, optimizing performance and freeing up employees for other tasks in the process.

Innovation-wise, generative AI offers unique opportunities. Its ability to distill from complex data can offer fresh insights, assisting CEOs in creating more informed strategies on virtually any topic. This new level of predictive analysis can reveal trends and patterns that may have otherwise been undiscovered or overlooked.

Furthermore, generative AI can significantly enhance customer experiences by powering chatbots to deliver a personalized, efficient customer interface without overtaxing employee resources or bandwidth.

It’s important to note that as generative AI evolves, CEOs should seek to acknowledge and address the many ethical considerations, data privacy issues, and potential for misuse by implementing strong governance frameworks and controls. Read our InfoBrief on Putting responsible AI into Practice.

Generative AI delivers unique benefits to businesses, fundamentally transforming aspects like operational efficiency, decision-making, and customer engagement:

  • Operational Efficiency: Generative AI can automate business processes such as content generation and customer support, leading to improved productivity. By handling repetitive tasks, generative AI frees up employee resources for strategic initiatives, helping to streamlining operations while improving overall efficiency.
  • Decision-making: Generative AI's prowess in predictive analysis offers businesses a powerful tool for more confident decision-making. By sifting through complex data sets, it can identify patterns and trends that are often beyond human capabilities. This allows businesses to make more proactive, data-driven decisions, enhancing strategic planning and fostering innovation.
  • Customer Engagement: Generative AI can enhance the customer experience by empowering AI-powered chatbots that offer personalized interaction and troubleshooting.
  • Innovation and Upskilling: Much like how AWS Developer Center provides resources for innovation, generative AI can stimulate creativity, offering unique insights and predictive models that inspire new solutions. It also encourages a culture of continuous learning and upskilling, which is critical in a fast-evolving tech landscape.
  • Cost Efficiency: By automating certain processes and reducing dependence on manual work, generative AI can lead to significant cost savings in the long run.

Preparing for generative AI is a pivotal step for organizations seeking to leverage the capabilities of this transformative technology. That said, this preparation requires a strategic and carefully planned approach.

Your organization should consider these steps to prepare to implement generative AI:

  • Understanding the technology: Organizations must first grasp what generative AI is and the specific ways it can serve their unique business objectives. Engaging with AI experts, attending workshops, or utilizing platforms like the AWS Developer Center can further deepen understanding.
  • Assessing needs and goals: Defining clear goals for implementing generative AI is crucial. Whether it's enhancing customer service through AI-driven chatbots or automating content creation, setting specific targets helps in selecting the right tools and models.
  • Investing in infrastructure and skills: A robust tech infrastructure that supports AI models and data trust is essential. Cloud solutions, like those offered by AWS, can be vital in this phase. Additionally, investing in employee training to develop relevant skills can foster an environment that’s ready to leverage generative AI's capabilities.
  • Compliance and ethical considerations: Establishing guidelines for ethical usage, privacy, and compliance with regulations must not be overlooked. This involves creating policies and frameworks that govern data handling and model deployment. Read more about considerations for Responsible AI in the generative era.
  • Pilot testing and iteration: Before full-scale implementation, running pilot projects helps in identifying potential challenges and areas for improvement. Continuous monitoring and iteration ensure that the system aligns with organizational goals.
  • Embracing a culture of innovation: Encouraging technological innovation on a cultural level can ensure a smoother transition—allowing employees space to experiment and innovate with new tools.