Shweta Shetty


Case studies/white papers for technology companies

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V2 AI •

Personalising Digital Banking with AI | V2 AI

A leading Australian bank serving over 10 million customers across Australia and New Zealand sought to accelerate AI adoption to enhance the customer experience and address complex operational challenges. They were seeking an innovation partner to take AI from concept to production at speed.

The bank had been actively running ideation workshops to identify high-impact AI use cases across its operations. One critical opportunity emerged in its mobile application, used by millions of business cus...
V2 AI •

Modernising a Business-Critical Retail Platform on AWS | V2 AI

OTR is an Australian convenience retail company, offering 24/7 food, fuel, and groceries, including quick service dining for 90+ top brands like Hungry Jacks, Subway, and Oporto, alongside its own iconic brands. The recent merger with ASX-listed Viva Energy Group has enabled OTR to expand its footprint to more than 1,000 locations nationwide and move closer to its goal of becoming Australia’s largest convenience retailer.

The OTR App is a critical digital engagement channel for the business, en...
V2 AI •

State of AI Report 2nd Edition | V2 AI

AI’s pace of investment, innovation, and business buy-in has been unprecedented, but what does this mean for Australia?We asked professionals from 14 industry sectors 22 questions to uncover the State of AI in Australia.

The data answers critical questions like:

and much, much more.

The report reveals how many Australian organisations are treating AI as a core lever for growth and competitiveness, and scaling AI use cases with confidence. Fourteen industry leaders from pioneering organisation...
Redpanda •

Fundamentals of data engineering—Life-cycle, best practices, and emerging trends

In today's data-driven environment, businesses continuously face the challenge of harnessing and interpreting vast amounts of information. Data engineering is a crucial intersection of technology and business intelligence and plays a critical role in everything from data science to machine learning and artificial intelligence.

So, what makes data engineering indispensable? In a nutshell: its ability to convert raw data into actionable insights.

With the explosion of data sources – from website