CXO / IT Leadership

How CIOs Can Use Partnerships to Co-Create Business Solutions

Anupam Mishra of AWS on Co-Creating Solutions to Address Business Problems
How CIOs Can Use Partnerships to Co-Create Business Solutions
Anupam Mishra, head of solutions architecture, AWS India and South Asia

Enterprise technology leaders consistently face the challenge of devising effective solutions. They either have to be ingenious enough to develop in-house solutions, which requires skills, or entirely depend on technology vendors, which can be both expensive and time-consuming. A third approach - co-creation - involves a collaboration between the CIOs and their teams with the platform providers. This method aims to create cost-effective solutions that may become best practices.

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AWS' solution architecture team operates with a similar approach, assisting companies across diverse sectors to achieve optimal outcomes using technology, whether it's AWS or open-source platforms. This involves working closely with enterprises, startups, independent software vendors, and other entities to create tailored solutions.

Co-creation is central to this approach, involving hands-on collaboration to evaluate the viability of cutting-edge technologies. This collaborative model fosters a deeper understanding of technology and its potential application within organizations. The focus is on fostering agility, cost-effectiveness and security through the AWS platform, aligning with a broader trend of achieving more with technology in a streamlined, cost-conscious manner without compromising quality.

Anupam Mishra, head of solutions architecture, AWS India and South Asia, discussed these strategies in an interview with ISMG.

Edited excerpts follow:

Describe the role of AWS' solutions architecture team.

Our team's primary role is to assist companies in achieving outcomes using technology. We work closely with enterprises, startups and various other industries, helping them architect suitable solutions, sometimes leveraging both AWS technology and open-source solutions.

How do you develop prototypes, and is there a collaborative process with the organizations involved?

Prototyping involves two approaches. Sometimes, customers work alongside our team to co-develop solutions. Alternatively, customers outline their requirements and our team develops prototypes independently. Collaborative co-development is more common.

Besides being adopted by the organization that co-develops, are these solutions marketed to others, or are they proprietary?

It solely depends on the customer. However, we often showcase these cutting-edge solutions to industry to demonstrate possibilities. For example, how machine learning applied to camera feeds can solve various business problems. This approach helps customers assess if it aligns with their objectives and offers a substantial ROI.

Could you elaborate on the new prototypes being developed for enterprise usage and where the concentration of these innovations lies?

Our focus transcends prototypes, extending to trends in technology adoption. AWS provides a platform that enhances agility, cost-effectiveness and security for customers. This agility enables quick responses to customer needs, as seen in examples like the Paytm voice box introduced in a matter of weeks during the pandemic. That helps the seller know whether the payment is made or not.

Can you provide examples of innovative applications in different industry verticals like healthcare, finance or retail?

Healthcare app HealthifyMe leveraged generative AI to optimize their fitness experts' effectiveness, allowing them to automate and streamline discussions between experts and customers. Using generative AI, the company was able to release almost 75% of the fitness expert's bandwidth, which means they can do a lot more. In retail, More Retail employed machine learning to accurately predict stock levels, significantly reducing wastage and positively impacting their bottom line.

What are the primary challenges customers face while developing and adopting these technological solutions?

Customer challenges vary widely. Startups often seek agile tools for quick market testing, while enterprises grapple with infrastructure, technical knowledge, and understanding business issues related to adopting new technologies.

How does AWS engage with its ecosystem partners in creating these solutions for customers?

We collaborate extensively with partners through the Amazon Partner Network (APN), encompassing system integrators, tech partners and ISVs. These collaborations bolster customer capabilities, offering a range of tools and services that complement AWS' offerings.

How does AWS position itself in the AI landscape, and what's the strategy behind democratizing AI?

We have a history in machine learning, spanning over 25 years. The focus lies in democratizing AI, empowering business users with tools like Amazon Q for enhanced dashboard interactions, and practitioners with cost-effective hardware like Trainium and Inferentia.

Can you tell us about the newly launched Amazon Q and its distinct features compared to other AI solutions?

Our generative AI-powered assistant Amazon Q offers human-like interactions with dashboards, enhances email response automation and improves call center operations through real time, automated decision-making capabilities. Customers can connect Amazon Q to their business data, information and systems, so it can synthesize everything and provide tailored assistance to help employees solve problems, generate content and take actions relevant to their business. With more than 40 built-in connectors for popular data sources, including Amazon S3, Dropbox, Confluence, Google Drive, Microsoft 365, Salesforce, ServiceNow and Zendesk, as well as the option to build custom connectors for internal intranets, wikis, run books and more, Amazon Q makes it fast and easy for customers to get started.

How do partnerships with companies like Anthropic translate into creating impactful solutions for customers?

Collaborations with partners like Anthropic result in practical AI applications across industries, showcasing tangible business outcomes. HappyFox is one such customer. Over 12,000 companies across 70 countries use HappyFox for their help desk, live chat, chatbot and workflow automation needs. HappyFox chose Anthropic Claude on Amazon Bedrock as the best fit to meet our security and performance requirements. By adding generative AI-assisted features to our product suite, our customers were able to see 40% automated resolution of their support tickets and further saw around 20% overall improvement in productivity across their agents.

Mishra leads AWS India's technology team of solution architects. In his previous roles, he worked with start-ups and enterprises to help them build and operate web-scale applications and services.

About the Author

Rahul Neel Mani

Rahul Neel Mani

Founding Director of Grey Head Media and Vice President of Community Engagement and Editorial, ISMG

Neel Mani is responsible for building and nurturing communities in both technology and security domains for various ISMG brands. He has more than 25 years of experience in B2B technology and telecom journalism and has worked in various leadership editorial roles in the past, including incubating and successfully running Grey Head Media for 11 years. Prior to starting Grey Head Media, he worked with 9.9 Media, IDG India and Indian Express.

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