Generative AI in Action: Tackling Industry Challenges and Advancing Ethical Innovation with Neelam Koshiya

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Generative AI in Action: Tackling Industry Challenges and Advancing Ethical Innovation with Neelam Koshiya

Generative AI is reshaping various industries by enhancing efficiency, creativity, and problem-solving capabilities. This technology addresses complex challenges, optimizing operations and improving customer experiences. Neelam Koshiya, a solution architect at Amazon Web Services, plays a crucial role in applying these advancements to real-world scenarios, focusing on ethical AI and sustainable innovation.

Koshiya's career trajectory highlights the integration of AI in diverse sectors, including healthcare, telecommunications, banking, and defense. Her work on projects like the Boundless Store demo showcases the potential of AI in retail, while her contributions to cybersecurity emphasize the importance of addressing AI-related risks. The ongoing discussions around ethical AI development reflect a collective responsibility to ensure technology aligns with ethical principles and sustainability goals.

• Generative AI enhances efficiency and creativity across multiple industries.

• Koshiya's work addresses ethical AI and sustainable innovation challenges.

Key AI Terms Mentioned in this Article

Generative AI

Generative AI refers to algorithms that can create new content or data, enhancing creativity and problem-solving in various applications.

Ethical AI

Ethical AI involves developing artificial intelligence systems that adhere to moral principles and promote fairness, accountability, and transparency.

AI-driven models

AI-driven models utilize machine learning algorithms to optimize processes, such as network performance in telecommunications.

Companies Mentioned in this Article

Amazon Web Services

Amazon Web Services provides cloud computing solutions that integrate AI technologies to enhance business operations and scalability.

Larsen and Toubro Infotech

Larsen and Toubro Infotech specializes in high-performance application development, laying the groundwork for advancements in AI applications.

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