Aditya Birla Fashion and Retail Ltd has reported a consolidated net loss of Rs 214.70 crore in the September 2024 quarter.

The company had posted a net loss of Rs 200.34 crore during the July-September quarter a year ago, according to a regulatory filing by Aditya Birla Fashion and Retail Ltd (ABFRL) late Thursday.

Its revenue from operations was Rs 3,643.86 crore during the quarter under review. The same stood at Rs 3,226.44 crore in the year-ago period.

“Consolidated net profit was impacted on account of higher depreciation/amortisation for brand & retail assets due to the inclusion of TCNS (clothing company) and higher interest costs on account of elevated borrowings,” ABFRL said in its earnings statement.

The consolidated financial results for the quarter ended September 30, 2024, are “not comparable with previous quarters” pursuant to the amalgamation of TCNS Clothing and acquisition of Goodview Fashion Private during the current quarter, the Aditya Birla Group firm said.

Its total expenses were Rs 3,993.56 crore in the September quarter.

“Businesses achieved consistent growth this quarter, despite a subdued consumption environment, driven by sustained focus on driving product enhancements, elevated customer experiences and brand refresh,” ABFRL said.

Growth was largely led by newer businesses operating in emerging consumer segments, while its established brands continued with their growth trajectory with a clear focus on improved profitability.

“While ABLBL (Aditya Birla Lifestyle Brands Ltd) reported sustained margins, the demerged ABFRL posted a sharp recovery in margins across its constituent businesses,” it said.

Its revenue from the ‘Madura Fashion & Lifestyle’ segment was Rs 1,861.75 crore in the September quarter.

While Pantaloons’ revenue was Rs 4,082.16 crore and Rs 755.42 crore from its Ethnic and Other business.

It has recently announced the de-merger of Madura business into a separately listed entity named ABLBL.

ABLBL will have its lifestyle brands business as Louis Philippe, Van Heusen, Allen Solly, Peter England, Simon Carter and youth western wear brands such as American Eagle & Forever 21.

It will also have sportswear brand Reebok business, for which it has a long-term licensing for India market.

ABFRL will have its retail business under Pantaloons and Style Up along with a host of ethnic brands, which it owns such as designer-led brands of Sabyasachi, Shantanu & Nikhil, House of Masaba and Tarun Tahiliani. It will also have premium ethnic wear brands of Jaypore, Tasva & TCNS portfolio.

As of September 30, 2024, ABFRL has a network of 4,538 stores across approximately 37,952 multi-brand outlets with 9,047 points of sales in department stores across India.

It has a repertoire of brands such as Louis Philippe, Van Heusen, Allen Solly and Peter England. It operates the fashion retail store Pantaloons. Besides, it is a retailer of international brands such as Ralph Lauren, Hackett London, Ted Baker, Fred Perry, Forever 21, American Eagle, Reebok, Simon Carter and Galeries Lafayette.

Shares of Aditya Birla Fashion and Retail Ltd on Friday were trading at Rs 303.25 apiece on the BSE, down 2.16%.

Artificial intelligence is reshaping the world, powering innovations from self-driving cars to personalised shopping experiences. However, for many, diving into the AI field can seem like an impossible task, especially without a technical background. But here’s the good news: you don’t need to be a coder or a mathematician to get started in AI. In recent years, AI tools and learning resources have become more accessible, allowing curious beginners with no technical skills to explore and contribute to this field.

This guide will walk you through practical steps to get started in AI, focusing on accessible skills and resources, beginner-friendly tools, and strategies to build confidence and understanding. Whether you’re a business professional, a creative, or simply curious, you can make a start in AI today.

How to get started in AI without prior technical skills

1. Understanding the basics of AI

Before diving into AI tools or courses, it’s essential to understand foundational concepts. Familiarise yourself with terms like machine learning, deep learning, data science, and natural language processing (NLP). Resources like online articles, beginner-friendly videos, and podcasts can give you a solid grasp of AI terminology and applications without requiring any technical skills.

Quick resources:

• YouTube channels: Check out YouTube channels like “AI For Everyone” by Andrew Ng or “Lex Fridman Podcast” for beginner-friendly insights.
• AI glossaries: Sites like IBM or Google AI have glossaries that explain complex terms in simple language.

2. Learn with free AI resources

Many respected institutions and platforms offer free introductory AI courses. These courses break down complicated AI concepts into digestible lessons, making it easy for beginners without technical knowledge to follow along.

Recommended free courses:

• AI for Everyone by Andrew Ng (Coursera): A non-technical overview of AI and its potential impact on various industries.
• Elements of AI by Reaktor and the University of Helsinki: Covers AI basics in a simple, friendly format.
• Google’s Machine Learning Crash Course: Although slightly technical, it includes practical exercises that you can explore at your own pace.

3. Practical AI tools for non-techies

Today, AI-powered tools allow beginners to experiment without needing to write code. Many of these tools use drag-and-drop interfaces, enabling users to easily apply AI to real-world problems.

AI tools to explore:

• Teachable machine by Google: A user-friendly tool for creating image, sound, and pose models without coding.
• Runway ML: An intuitive platform for working with machine learning models for creative tasks like image and video editing.
• ChatGPT: OpenAI’s conversational AI, which you can use to simulate interactions or brainstorm ideas.

These tools help you understand how AI works in practice and can be a great confidence builder.

4. Join AI communities and forums

Connecting with others on the same path can provide motivation, support, and resources. AI communities are filled with enthusiasts and experts willing to share knowledge, answer questions, and offer project feedback.

Popular AI communities:

• Reddit: Subreddits like r/MachineLearning and r/Artificial offer a mix of technical and non-technical discussions.
• LinkedIn: Follow AI thought leaders and join relevant AI groups for industry news and insights.
• Discord and Slack: Many free AI servers on these platforms are beginner-friendly and include topic channels for specific interests like NLP or ethical AI.

5. Stay updated on AI trends

AI is rapidly evolving, and keeping up-to-date can help you understand current applications, ethical considerations, and potential career paths. You don’t need to read academic papers—opt for accessible news sources and newsletters that break down developments for non-technical readers.

Top newsletters:

• The Batch by DeepLearning.AI: Weekly updates and explanations of AI developments.
• AI Weekly: Curated news and articles for both techies and non-techies.

6. Take small, hands-on projects

One of the best ways to learn is by doing. Start with mini-projects that allow you to apply AI concepts practically. Many beginner-friendly AI tools offer templates and tutorials for getting started.

Example project ideas:

• Build a personal assistant: Use platforms like ChatGPT to create an AI chatbot that answers specific questions or helps with daily tasks.
• Image classifier: Create a simple model with Google’s Teachable Machine to recognise and classify objects.
• Text summariser: Tools like Hugging Face Transformers provide models to summarize long text documents. Try summarising an article or report.

7. Pursue certifications and micro-degrees

If you’re looking to add credibility to your AI knowledge, consider pursuing certifications or micro-degrees. Many institutions offer beginner-friendly AI certifications that don’t require a technical background.

Top programs:

• AI For Everyone (Coursera): Provides a certificate upon completion and is designed specifically for non-technical people.
• Introduction to AI (Microsoft): Covers AI concepts and applications, with an emphasis on real-world use cases.
• Professional Certificate in AI (edX): Courses from top universities offer a solid foundational understanding and certificates upon completion.

Conclusion: Moving forward in AI

Getting started in AI without technical skills is not only possible but can be incredibly rewarding. By focusing on the basics, exploring beginner-friendly tools, and building a network of resources and connections, you can grow your understanding of AI. Remember, AI is a field of lifelong learning—your journey will continually evolve as the technology does.

Embrace this opportunity to learn something new, explore emerging technologies, and maybe even shape the future of AI.

Sriharsha Majety-led Swiggy on Friday saw its public offer subscribed 3.59 times driven by strong demand from qualified institutional buyers (QIBs). 

QIBs oversubscribed 6.02 times by the end of the third day after slow activity during the first two days of book building. 

Portions reserved for retail investors were subscribed 1.14 times, while non institutional investors (NIIS) subscribed only 41% of the allocated shares, according to data from the BSE. 

Overall, by the end of the bidding process, Swiggy’s IPO received bids for 57.53 crore shares compared to the 16.01 crore shares on offer. 

The quick commerce and food delivery giant plans to raise close to Rs 11,700 crore in its IPO at a valuation of  around Rs 87,000 crore or about $11.3 billion at the upper price band, set between Rs 371-Rs 390 apiece. It expects to start trading on domestic bourses on Wednesday, November 13. 

Swiggy, in its RHP, had said it plans to use the proceeds from the fresh issue to invest in Scootsy, its material subsidiary, as well as to repay the company’s debt. Additionally, the funds will support the expansion of its dark store network, along with investments in technology and brand-building efforts.

Earlier in the day, media reports reported that the Competition Commission of India (CCI) has found the food delivery business practices of Swiggy and its listed peer Zomato in violation of competition laws.

The CCI is still reviewing the investigation findings and will soon decide on any penalties or changes to the food delivery companies’ business practices. Both companies can challenge the findings.