Generative AI/ML

Unlocking the value of generative AI for business leaders

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 AI innovation, addressing challenges like model accuracy and data integration.

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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, and implementing AI responsibly.

Tom Avant, Director of AWS Security Operations, explores the impact of emerging technologies like generative AI on the future of security operations.

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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.

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Neerav Kingsland, Head of Global Accounts for Anthropic, shares Anthropic's journey to create the safest and most capable AI model in the world.

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Learn how to fuel innovation with generative AI, starting with a solid cloud strategy.

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Generative AI at Amazon

Amazon has been a leader in AI for over 25 years, continuously introducing AI capabilities that help us innovate for our customers. Learn about the most recent ways generative AI is improving Amazon's business:

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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More on generative AI/ML

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  • Article

    by Maureen Lonergan, VP, AWS Training and Certification

    From a technology perspective, generative AI was the dominant topic of interest throughout 2024. Everywhere you turned, someone was talking about it and trying to understand the implications for their business. While we can expect more of the same in 2025, the conversation is evolving as many generative AI proof-of-concepts will move into production, or as more organizations experiment with generative AI.

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  • Podcast

    Driving Invention with the Latest in AWS Generative AI

    Featuring Dr. Swami Sivasubramanian, VP of AI & Data at AWS

    In this fireside chat, Dr. Swami Sivasubramanian, VP of AI & Data at AWS, discusses key developments and strategies in artificial intelligence. He emphasizes AWS's comprehensive approach to AI innovation, addressing challenges like model accuracy and data integration. He highlights lessons from implementing AI at scale, including the importance of hands-on experience and adapting management styles.

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  • Podcast

    Fireside Chat with Matt Garman, CEO, AWS

    AWS re:Invent 2024

    In this fireside chat from AWS re:Invent 2024, Matt Garman, CEO of AWS, discusses key trends and opportunities in cloud computing. He emphasizes AWS's commitment to customer success, continuous innovation in foundational services, and the transformative potential of generative AI. He also highlights the importance of security, data management, and upskilling to fully leverage cloud capabilities. He encourages enterprises to think creatively about AI applications and to learn from startup agility.

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  • Ebook

    Werner Vogels' Tech Predictions for 2025 and Beyond

    Dr. Werner Vogels, VP & CTO at Amazon.com

    We have entered an era of unprecedented societal challenges and rapid technological advancements. Harnessing technology for good has become both an ethical imperative and a profitable endeavor. From clean energy innovations unlocking new avenues for sustainable development to AI-powered tools tipping the scales in the fight against disinformation, we are witnessing technology augment human ingenuity in inspiring ways. The rise of intention-driven technologies is reshaping our relationship with the digital world, promoting focus and well-being over mere attention capture. All the while, a mission-driven workforce is emerging, more eager to tackle hard human problems than chase the bottom line. In the coming years, using technology for positive impact will not just be possible—it will redefine the way we think about success.

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  • Podcast

    Elevating the Experience for Employees and Customers at Verizon Consumer Group

    A conversation with Vivek Gurumurthy, CIO and SVP of Verizon Consumer Group

    In this episode, Vivek Gurumurthy, CIO and SVP of Verizon Consumer Group, discusses the company's digital transformation journey. He shares insights on evolving customer expectations, the shift to a digital-centric business model, and the importance of personalized experiences. Highlights include Verizon's focus on leveraging AI and cloud technologies to enhance customer interactions and empower frontline employees. He also emphasizes the critical role of cultural change and employee reskilling in successfully implementing these technological advancements across the organization.

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  • Podcast

    The AI-Driven Future of Customer Support

    Featuring Des Traynor, Co-founder and Chief Strategy Officer of Intercom

    Hear from Des Traynor, Co-founder and Chief Strategy Officer of Intercom, about the revolutionary impact of AI on customer service. Traynor shares insights into Intercom's AI journey, including the recent launch of their advanced AI agent, and discusses how their product management philosophy of "starting with the problem" has shaped their strategy. The episode offers valuable perspectives on fostering innovation, the current state and future of AI in customer support, and provides actionable advice for executives aiming to improve customer experience in the AI era.

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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.