A visit to Coca Cola plant Bidadi, Bangalore Karnataka.

A Peek Behind the Fizz: 

An Industrial Visit to Coca-Cola Bidadi, Karnataka.

Stepping into the Hindustan Coca-Cola Beverages (HCCB) plant in Bidadi, Karnataka, isn't just a trip; it's an immersion into a world where technology and taste meet at lightning speed! This was far more than a simple factory tour—it was a deep dive into the sheer scale and meticulous precision required to bottle the world's most recognizable beverages.

The Anatomy of a Beverage Giant

The sheer size of the operation is the first thing that hits you. The Bidadi plant, a major manufacturing hub for HCCB, processes an unbelievable number of bottles per minute, producing a wide range of drinks from Coca-Cola and Sprite to Maaza and Kinley water. It's a symphony of automated machinery, where human oversight ensures quality, and robots handle the repetitive heavy lifting. 

Our journey began at the Water Treatment Facility. Given that water is the main ingredient, it's treated with incredible care, going through extensive processes like sand filtration, activated carbon, and UV purification to meet both international and domestic safety standards. This focus on purity underlines the foundation of every single beverage they create.

From Preform to Packaging: The Magic of Bottling

The core bottling process is a dazzling display of modern engineering.

 * Bottle Creation: We saw how the distinctive PET bottles are not shipped in their final form but are created on-site from small plastic 'preforms' (which look like heavy test tubes). These are heated and blown into bottles in a flash—a truly mesmerizing sight.

 * Syrup & Carbonation: The secret formula concentrate is mixed with simple syrup (sugar dissolved in treated water) to create the final syrup. This is then precisely blended with treated, chilled, and carbonated water (for fizzy drinks) before being sent to the fillers.

 * High-Speed Filling: The bottling line operates at an astonishing pace. High-speed nozzles fill thousands of containers every hour. 

What follows is a series of intensive quality checks. Sensors use electronic inspection technology to scrutinize every cleaned bottle for any damage or foreign matter. 

Post-filling, other sensors check the liquid level, ensure the cap is hermetically sealed. If anything is wrong, interlocks stop the process instantly.

 * Labeling & Coding: The final, rapid-fire steps involve applying labels and printing the date/price code before the robotic arms group the products for automated packaging and palletizing.

Sustainability in the Spotlight 

What was perhaps most enlightening was their commitment to sustainability. The HCCB Bidadi Karnataka plant has made significant strides, notably becoming certified as carbon neutral—the first Coca-Cola bottling plant in India and Southwest Asia to achieve this under the international PAS 2060 standard.

Key initiatives include:

 * Renewable Energy: Sourcing over 90% of the plant's power from renewable energy sources.

 * Water Stewardship: Operating on a strategy of 'Reduce, Recycle, and Replenish' water, which involves extensive Effluent Treatment Plants (ETP) to treat wastewater and initiatives to replenish the water used back into the community and environment.

 * Waste Reduction: Focusing on making packaging 100% recyclable.

 

From Feb '24, the plant is also certified Carbon Neutral, ie. what ever Carbon is released by the plant in its operations, is neutralised by its carbon absorption programmes, like using 8-% solar based electricity in the plant operations. 

The industrial visit provided an eye-opening look not just at how a fizzy drink is made, but how a modern, high-volume FMCG giant balances production efficiency, uncompromised quality, and genuine environmental stewardship. It was a day of learning that truly brought classroom concepts to life!

Petrified wood (fossilised) 400 million years old

Imagine a tree that fell in a forest **millions of years ago**. Normally, it would rot and disappear. But sometimes, it gets **quickly buried** under mud, sand, or volcanic ash. Water full of tiny bits of minerals (like silica from sand or iron from rocks) seeps into the wood. Slowly — over **millions of years** — these minerals replace the wood cells, turning the tree into **stone** while keeping its shape, rings, and even bark texture. That’s **fossilised wood**, also called **petrified wood**. It’s not wood anymore — it’s rock that *looks* like wood!

These stone trees can be **super old** — some from 400 million years ago (when fish were just starting to walk on land!) but most are from 50 to 250 million years ago, when dinosaurs roamed. Scientists study the growth rings to learn about **ancient weather** (wide rings = good rainy years, narrow = dry ones). They also tell us what kinds of forests grew where, helping us understand how continents moved and how plants evolved. In India, places like the **National Fossil Wood Park in Gujarat** protect these treasures — some logs are as big as buses! Fossilised wood is like a *time capsule* showing us Earth’s green past, frozen in stone.

This stone is with my son's father-in-law in Kerala..

Diff levels of Autonomous Driving

Industry Visit to NH ..

 29 August 2025 is a special day for the MBA Operations sem 4 and sem 2 students of Alliance School of Business Bangalore as they got a fine chance to visit Narayana Hrudayalaya in Chandapura. In total about 8 students from Sem 4 and 11 students from sem 2 participated. 

Due to the heavy traffic congestion at Chandapura, we reached almost 20 mins late at 10.20 am to NH campus in Chandapura. Straightaway we were taken to the Academic room in the Mazumdar Shaw memorial block where we were introduced to the healthcare sector in the country by Shri. Sunil Narayan, Sr. VP of Narayana Health. The session was very useful as he touched upon lot of areas unknown to us and the students, especially on the existing distrust between patients, insurance companies and the hospital authorities. Clearing this distrust through government initiatives has been a helpful issue for NH. The details on how the Yashswini Group Insurance programme for farmers has helped the 25 lakh farmers in the Karnataka in case of any surgeries and surgical care was very interesting. Mr Sunil also touched upon the inventory management at NH and the SCM at NH. The days Dr Devi Shetty spent at the GD Birla hospital in kolkata and the extra care taken by Dr Devi Shetty from the initial days of establishment of NH in Electronic city/Bommasandra area to reduce costs was very interesting. 

After attending the session and seeing the facilities at NH, which happens to be the world's largest cardiac care facility and also paediatric cardiac care, some students have shown interest in doing an internship at NH in the coming months.  We are hopeful  that the students will be able to get the internship at NH.

George Easaw

OS Matrix ..

 

Qualities of AI Resilient Careers

 The Qualities of AI-Resilient Careers

- Generated with Gen AI..

 

Artificial intelligence is reshaping the labor market. From customer service chatbots to automated legal document review, tasks once performed by humans are now executed by algorithms—faster, cheaper, and often more accurately. As AI becomes more capable, the question is no longer whether jobs will be affected, but which ones will survive - and thrive. AI-resilient careers are not randomly immune to disruption; they share identifiable qualities. Understanding these traits is key to future-proofing your career.

 1. Human-Centered Interaction

AI is good at processing information, but it lacks emotional intelligence. It can’t build trust, intuit unspoken feelings, or respond empathetically to human behavior in real time. Jobs that rely on interpersonal nuance—such as therapists, social workers, nurses, educators, and managers—are less likely to be replaced by machines. These roles demand more than data analysis; they require emotional connection, cultural awareness, and interpersonal judgment.

Take therapy, for example. AI might offer scripted mental health advice, but it cannot replicate the deep, trust-based relationship between a human therapist and client. Similarly, nurses must interpret patient behavior, provide comfort, and make judgment calls that go beyond symptoms. These human layers resist automation.

 2. Creative and Original Thinking

AI can mimic patterns, remix existing ideas, and even generate original-looking content. But it lacks the ability to create in the human sense—to invent something truly novel, to break rules intentionally, or to understand subtext and cultural nuance. Creative roles in writing, design, branding, filmmaking, and the arts remain more resilient.

A brand strategist crafting a campaign does more than generate slogans—they understand market trends, human psychology, and cultural context. A playwright doesn’t just assemble dialogue; they reflect social issues and emotions in ways that resonate with human audiences. AI can assist, but it rarely originates ideas that move people or reshape conversations.

 3. Problem-Solving in Complex, Unpredictable Contexts

Many professions involve making decisions with limited information, unclear rules, or changing circumstances. AI thrives in structured environments—where inputs and outputs are clearly defined—but it struggles with ambiguity.

Entrepreneurs, consultants, emergency responders, and project managers often operate in unpredictable terrain. They balance trade-offs, shift strategies on the fly, and deal with unique variables. Consider a firefighter: no two emergencies are the same, and split-second decisions can be life-or-death. AI might support with data or risk assessment, but human judgment, improvisation, and experience still lead.

 4. Skilled Trades and Hands-On Work

Despite all the hype about robot arms and warehouse automation, many physical jobs are harder to automate than desk work. Plumbers, electricians, carpenters, and mechanics often work in varied, unstructured environments. Every repair, installation, or construction site is different. The tasks require dexterity, real-time problem-solving, and adaptation.

Even with advances in robotics, replicating human motion, tactile feedback, and spatial reasoning remains costly and technically difficult. These trades, often overlooked in discussions about the future of work, are among the most AI-resistant.

 5. Ethical and Strategic Oversight

As AI systems make more decisions, someone must design, monitor, and govern them. Ethicists, compliance officers, legal experts, and policymakers play a growing role in defining how AI is deployed and held accountable. These roles require a deep understanding of human values, legal frameworks, and societal impact—areas where AI has no true competence.

An AI system might detect fraudulent behavior in financial data, but determining whether a system is fair, biased, or in violation of laws requires human oversight. Strategy professionals also evaluate not just what’s possible with AI, but what’s desirable and sustainable in the long run. These are judgment calls that can’t be offloaded to machines.

 6. Multidisciplinary Expertise

Jobs that span multiple domains—where success requires integrating knowledge from different fields—tend to resist automation. AI may be good at siloed tasks, but careers that combine technical, social, and strategic skills are harder to replicate.

Consider product managers in tech. They need to understand user needs, manage cross-functional teams, interpret data, and shape business outcomes. Their value comes from bridging technical and human factors. Likewise, a climate policy advisor needs knowledge of science, economics, politics, and communication. The more a role involves connecting the dots across domains, the more resilient it becomes.

 7. Adaptability and Lifelong Learning

Perhaps the most critical quality isn’t tied to a job title, but to a mindset. AI-resilient careers are often filled by people who adapt quickly, learn continuously, and reinvent themselves as technology evolves. The shelf life of skills is shrinking. Static job definitions are fading. Workers who thrive will be those who stay curious, reskill regularly, and remain comfortable with change.

This quality applies across industries. A marketing analyst who learns to use AI tools will outlast one who resists them. A teacher who embraces adaptive learning platforms will stay relevant longer than one who sticks to a rigid curriculum. The job may change—but those who evolve with it maintain their edge.

 What AI-Resilient Doesn’t Mean

Being AI-resilient doesn’t mean a job won’t change. On the contrary, most of the roles mentioned above will be deeply influenced by AI. Doctors will rely on machine diagnostics. Writers will use AI to brainstorm. Managers will use data-driven dashboards. But AI will *augment* these jobs, not *replace* them—if the human brings something essential to the table.

The point isn’t to escape AI—it’s to coexist with it. The safest roles are those where human value is irreplaceable, and where humans and machines complement each other rather than compete.

 Conclusion

AI-resilient careers aren’t defined by luck or tradition—they’re built on specific qualities: emotional intelligence, creativity, judgment, dexterity, ethical reasoning, and the ability to adapt. These roles draw strength from what makes us human. As AI spreads, the challenge isn’t to fear it—it’s to develop the skills and mindsets that keep us ahead of it.

The future of work belongs to those who double down on their humanness. Machines will take over many tasks. But careers that rely on empathy, originality, complexity, and constant learning will remain not just relevant, but essential. The key isn’t just to work harder—it’s to work smarter, more creatively, and more human.

Game theory