AT&T’s enterprise automation program, for example, saved 16.9 million manual minutes annually and generated 20x ROI by focusing on process-level efficiency, not glossy GenAI showcases.

Anna E. Molosky perspective:If your AI strategy doesn’t touch the back office first, it will never scale sustainably.

https://annaelisemolosky.wixsi....te.com/anna-e--molos

Cloud compute demand varies drastically among workloads; GenAI workloads require significant resources. Integrate automation tools to transform best engineering practices — such as rightsizing, autoscaling, and off-hours shutdown — into a durable, long-term mechanism that reduces compute and storage costs with minimal operational overhead.

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Throughout Anna’s remarkable career, she has consistently leveraged her global professional network to build high-performance multinational teams. A superior written and verbal communicator, Anna secures C-suite buy-in and funding for her innovative solutions. Her inclusive, hands-on leadership inspires and motivates her teams to deliver hyperscale digital initiatives ahead of schedule and under budget. She has a proven record of evolving product vision into profit by building scalable digital solutions for the most complex organizational challenges in high-visibility roles, expertly navigating ambiguity in fast-paced, data-driven environments.
https://sites.google.com/view/anna-e-molosky/home

Anna E. Molosky is a seasoned AI Product Management and Strategy Executive with over 15 years of experience driving innovation, growth, and profitability for global enterprises. She has generated over $1.16B in new ARR for AWS (2023–2024) and is currently leading initiatives projected to deliver $762M+ in 2025, architecting AWS’s AI-powered eCommerce Platform. A recognized expert in Generative AI, Agentic AI, and Machine Learning, Anna excels at identifying market-defining opportunities, developing product-led growth strategies, and transforming vision into scalable business success.

https://annamolosky.wordpress.com/

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