About AIeou
AI in aieou
Guru-Grad Interface
Guru-Grad Interface
At AIEOU, we believe every letter sparks a story. Born at the intersection of business, technology, and human imagination, AIEOU is an online business magazine dedicated to exploring how Artificial Intelligence is reshaping enterprises, economies, and everyday life. Just as vowels give language its voice, we see AI as the new enabler givi
At AIEOU, we believe every letter sparks a story. Born at the intersection of business, technology, and human imagination, AIEOU is an online business magazine dedicated to exploring how Artificial Intelligence is reshaping enterprises, economies, and everyday life. Just as vowels give language its voice, we see AI as the new enabler giving business its future rhythm. Through sharp analysis, thought leadership, and engaging narratives, we bring clarity to complex ideas and make innovation accessible to decision-makers, entrepreneurs, and curious readers alike.
Guru-Grad Interface
Guru-Grad Interface
Guru-Grad Interface
What makes AIEOU distinctive is that it is run by grads and gurus together—fresh campus voices blending with seasoned industry experts. We cover a wide canvas of sectors, from Campus Beat and Young Turks to Life Sciences, Manufacturing, Hi-Tech, Financial Services, Media & Entertainment, Telecom, IT, Retail, and Consumer Markets. For us,
What makes AIEOU distinctive is that it is run by grads and gurus together—fresh campus voices blending with seasoned industry experts. We cover a wide canvas of sectors, from Campus Beat and Young Turks to Life Sciences, Manufacturing, Hi-Tech, Financial Services, Media & Entertainment, Telecom, IT, Retail, and Consumer Markets. For us, AIEOU are not just vowels — they are WOW!els: windows into opportunities, wisdom, originality, and wonder. Each story we publish is a spark, capturing the transformative power of AI in business — from boardroom strategies to startup breakthroughs, from policy shifts to cultural change.
Storytelling
Guru-Grad Interface
Storytelling
As a future-focused magazine, we aim to build a vibrant community of readers and contributors who are not just observers but active participants in the AI-driven transformation of business. Through features, interviews, campus insights, and sectoral deep-dives, AIEOU serves as a collaborative platform where ideas meet execution, research
As a future-focused magazine, we aim to build a vibrant community of readers and contributors who are not just observers but active participants in the AI-driven transformation of business. Through features, interviews, campus insights, and sectoral deep-dives, AIEOU serves as a collaborative platform where ideas meet execution, research meets reality, and curiosity meets commerce. We don’t just report the future — we help shape the conversation around it.
Publishing with us
Aims & Scope
Publishing charges & Content access
Publishing charges & Content access
At AIeou, we believe in the power of stories to inspire, educate, and entertain. Our vision is to create a world where everyone has access to great literature, regardless of their background or geography.
Publishing charges & Content access
Publishing charges & Content access
Publishing charges & Content access
Article Publishing Charge (APC): No publication fee charged to authors.
All articles published will be immediately and permanently free for everyone to read, download, copy, and distribute.
Publishing Timelines
Publishing charges & Content access
Publishing Timelines
Time to first decision:
Review time:
Submission to acceptance :
Acceptance to publication:
Board Room
Joseph Dolphin
Joseph Dolphin
Joseph Dolphin
Editor-In-Chief
Meenakshi Negi
Joseph Dolphin
Joseph Dolphin
Managing Editor
Jovita Rexy
Joseph Dolphin
Devesh Shankar
Editorial Director
Devesh Shankar
Devesh Shankar
Devesh Shankar
Editorial Director
Shilpa
Devesh Shankar
Shilpa
Editorial Director
Editorial Room
Rajanikanta Rout
Trisha Roy Choudhury
Trisha Roy Choudhury
Executive Editor Financial Services
Trisha Roy Choudhury
Trisha Roy Choudhury
Trisha Roy Choudhury
Executive Editor Financial Services & Literature
Akshat Bani
Trisha Roy Choudhury
Tanishka Jain
Executive Editor Consumer & Markets
Tanishka Jain
Trisha Roy Choudhury
Tanishka Jain
Executive Editor Consumer & Markets | Campus Beat & Young Turks
Devappa Pundalikappa Yaragal
Devappa Pundalikappa Yaragal
Devappa Pundalikappa Yaragal
Executive Editor Agriculture & Public Policy
Manoj D Padshetty
Devappa Pundalikappa Yaragal
Devappa Pundalikappa Yaragal
Executive Editor Consumer & Markets
Mitesh Jayvant Thakare
Devappa Pundalikappa Yaragal
Mitesh Jayvant Thakare
Executive Editor Financial Services
Sayan Pal
Devappa Pundalikappa Yaragal
Mitesh Jayvant Thakare
Executive Editor Financial Services
Katakam D V M Pavan Kumar
Katakam D V M Pavan Kumar
Katakam D V M Pavan Kumar
Executive Editor Financial Services
Shruti Shiya Mohanty
Katakam D V M Pavan Kumar
Katakam D V M Pavan Kumar
Executive Editor Consumer & Markets
[A]rchitect
Create: we innovate, build, and express
[I]nteract
Connect: we communicate, collaborate, and relate
[E]xperience
Explore: we learn, discover, and experience
[O]ptimize
Sustain: we nurture, preserve, and grow
[U]nravel
Evolve: we adapt, improve, and transform
AI-Powered Personalization: Tanishka Jain
Beyond Basic Recommendations
Examples of AI-Powered Personalization in Action
What Sets AI-Powered Personalization Apart
AI-powered personalization in the consumer and markets sector is no longer just about basic product recommendations—it is redefining how brands engage with, convert, and build loyalty among their audiences at every touchpoint.
What Sets AI-Powered Personalization Apart
Examples of AI-Powered Personalization in Action
What Sets AI-Powered Personalization Apart
Modern AI systems analyze vast datasets, including browsing behavior, purchase history, real-time location, demographics, and psychographics, to craft highly individualized consumer journeys. This intelligence drives:
• Dynamic product suggestions
• Adaptive website layouts
• Personalized email content
• Tailored social media engagement
By res
Modern AI systems analyze vast datasets, including browsing behavior, purchase history, real-time location, demographics, and psychographics, to craft highly individualized consumer journeys. This intelligence drives:
• Dynamic product suggestions
• Adaptive website layouts
• Personalized email content
• Tailored social media engagement
By responding instantly to customer signals and context, brands can create experiences that feel unique for every user, whether online, in-app, or offline.
Impact and Results
Examples of AI-Powered Personalization in Action
Examples of AI-Powered Personalization in Action
AI-powered personalization delivers measurable results:
• Revenue gains: Personalized experiences drive up to 40% more revenue for fast-growing brands.
• ROI and engagement: Companies report 25% higher ROI and twice the engagement rates compared to non-personalized approaches.
Major players like Amazon, Netflix, and Spotify have mastered AI-
AI-powered personalization delivers measurable results:
• Revenue gains: Personalized experiences drive up to 40% more revenue for fast-growing brands.
• ROI and engagement: Companies report 25% higher ROI and twice the engagement rates compared to non-personalized approaches.
Major players like Amazon, Netflix, and Spotify have mastered AI-driven personalization, making each homepage, playlist, or notification unique for every user. Even large-scale campaigns, such as outdoor advertising, can dynamically adjust based on context like weather or time of day, creating a one-to-one feel at scale.
Examples of AI-Powered Personalization in Action
Examples of AI-Powered Personalization in Action
Examples of AI-Powered Personalization in Action
• Amazon: Hyper-personalized product recommendations respond in real-time to browsing and purchase activity across web, app, and email channels, often guiding users toward items they did not intend to search for.
• Netflix and Spotify: Continuous behavioral analysis delivers tailored playlists, show suggestions, and reminders, ensuring eac
• Amazon: Hyper-personalized product recommendations respond in real-time to browsing and purchase activity across web, app, and email channels, often guiding users toward items they did not intend to search for.
• Netflix and Spotify: Continuous behavioral analysis delivers tailored playlists, show suggestions, and reminders, ensuring each experience aligns with individual habits and preferences.
• Coca-Cola: AI-generated ad visuals and messaging adapt to demographic and regional trends, achieving deeper emotional resonance.
Forward-Looking Strategies
Challenges and Consideration
Challenges and Consideration
Real-time AI adaptation allows brands to tailor offers and product recommendations on the fly, showing only the most relevant items as interests shift throughout the consumer journey. AI-driven segmentation creates nuanced audience groups for precise campaign targeting, while automated chat and content systems deliver personalized assistance at scale.
Challenges and Consideration
Challenges and Consideration
Challenges and Consideration
Despite its advantages, AI-powered personalization comes with challenges.
• Data Privacy and Ethics: Hyper-personalization requires significant user data, raising privacy concerns. Transparent consent and responsible AI practices are crucial.
• Avoiding the Filter Bubble: Over-personalization can limit exposure to new ideas or products. Ba
Despite its advantages, AI-powered personalization comes with challenges.
• Data Privacy and Ethics: Hyper-personalization requires significant user data, raising privacy concerns. Transparent consent and responsible AI practices are crucial.
• Avoiding the Filter Bubble: Over-personalization can limit exposure to new ideas or products. Balancing personalization with diversity is key.
• Algorithm Bias: AI models may inadvertently reinforce stereotypes or biases present in historical data.
Conclusion
Challenges and Consideration
Conclusion
AI-powered personalization has evolved from a nice-to-have feature into an essential strategy. By understanding not just what users like, but when, where, and why, brands can anticipate consumer needs, improve engagement, and foster loyalty, delivering the right message at exactly the right moment across any channel.
