Posts

Showing posts from June, 2025

How to plan for the AI-Driven World: What to Expect in the Next 10–20 Years

Planning for the Future in an AI-Driven World: What to Expect in the Next 10–20 Years Artificial intelligence and robotics are transforming the way we live, work, and consume. As automation becomes more advanced and widespread, it is expected to reshape the economy significantly over the next two decades. Understanding these changes now can help individuals make better career and investment decisions for a stable and secure future. AI Will Make Production Cheaper, But Will Consumers Be Able to Buy? One major effect of AI and robotics is the reduction in the cost of producing goods and services. Machines can perform tasks faster and more efficiently than humans in many cases. This will likely make products cheaper and more accessible—at least in theory. However, if many people lose their jobs to automation or face stagnant wages, overall purchasing power could decline. That means even if products are inexpensive, fewer people may be able to afford them, reducing demand and affecting...

Data fabric with use cases.. Comparison with Data lake, Data Mesh

  Understanding Data Fabric: Concepts, Industries, and Use Cases What is a Data Fabric? Data Fabric is a unified architecture and set of data services that provide consistent capabilities across a choice of endpoints spanning on-premises and multiple cloud environments. It is designed to simplify data access and management across the increasingly complex data landscapes businesses face today. By integrating data from disparate sources and enabling intelligent data movement, a data fabric makes it easier to deliver accurate, real-time data for analytics, governance, and operational needs. Data fabric leverages technologies such as artificial intelligence (AI), machine learning (ML), metadata management, knowledge graphs, and semantic integration to automate and optimize data discovery, integration, quality, governance, and orchestration. In simpler terms, data fabric is like a smart, flexible “layer” that connects all your data no matter where it lives—cloud, hybrid, or on-prem...

Preparing Students for an AI-Powered Future: What to Focus On

Preparing Students for an AI-Powered Future: What to Focus On As AI and automation reshape the job market, senior secondary students must be equipped with the right knowledge and skills to remain relevant. Based on insights from Geoffrey Hinton ("Godfather of AI") and global trends, here’s a comprehensive guide on how to prepare—and which careers are most likely to thrive or decline. 🔻 Jobs Most Vulnerable to Automation These roles are repetitive, data-driven, or rules-based—making them easier for AI to take over. Routine White-Collar Jobs Paralegals: AI can review contracts and legal documents faster. Customer Support Agents: Replaced by chatbots and automated systems. Data Entry Clerks & Bookkeepers: AI handles data processing and bookkeeping tasks efficiently. Administrative Assistants: Many scheduling and coordination tasks are now automated. Repetitive Digital Roles Basic Coders: AI tools can generate simple code with little supervision. Co...

You may have 'Imposter syndrome' if you doubt your accomplishments.

Image
  Imposter syndrome, also known as imposter phenomenon or impostorism, is a psychological pattern in which an individual doubts their accomplishments and has a persistent internalized fear of being exposed as someone who doesn't deserve the position he/she has like an imposter.   Despite external evidence of their competence, those with imposter syndrome remain convinced that they don't deserve the success they've achieved and attribute it to luck, timing, or deceiving others. This can lead to anxiety and self-doubt. It can hinder success in career and social matters. Taking some steps can solve this issue and restore confidence. Here are three diverse examples and their solutions: Example 1: The Accomplished Academic Scenario: Dr. Anya Sharma has just been granted tenure at a prestigious university. She has a strong publication record, excellent teaching evaluations, and has secured significant research grants. Yet, she constantly feels like she's not intelligent ...

Industry expectations for Mid to Sr level Data Science professionals - 2 sample JDs and skills

 JD 1: < This is from a well known company> Here is the cleaned-up and streamlined job description for the Director – Data Science (LLM/Gen AI) role, with all recruiter info, marketing text, job board content, and unrelated company info removed. Only content relevant to understanding the role and responsibilities has been retained: Role: Director – Data Science (LLM/Gen AI) Experience Required: 15–20 years Location: Hyderabad (Hybrid ) Employment Type: Full Time, Permanent Role Summary: This is a leadership role responsible for driving the organization’s data science, generative AI, and automation strategy. The role focuses heavily on Large Language Models (LLMs) , intelligent automation, and applied machine learning, requiring strong strategic, technical, and team leadership skills. Key Responsibilities: Leadership & Strategy Lead and mentor data scientists, ML engineers, and automation experts. Define and execute the organization's AI, LLM, and automation v...

How self-deception hinders progress

  Self-deception is the act of lying to oneself or refusing to accept reality in order to protect one’s ego, beliefs, or comfort. It blocks growth by masking problems, avoiding responsibility, or distorting facts. Here are 6 real-world scenarios where self-deception hinders personal or professional progress: 🔹 1. Health & Fitness: “I’m healthy enough.” Scenario A: A 45-year-old man with borderline diabetes convinces himself, “My sugar levels aren’t that bad. I feel fine.” ➡ He ignores dietary changes, skips check-ups, and ends up needing insulin within a year. Scenario B: A woman insists, “I gain weight no matter what I do,” while regularly consuming high-calorie snacks at night. ➡ She resists tracking calories, sabotaging any weight loss attempts. 🔹 2. Career Stagnation: “I deserve a promotion.” Scenario A: An employee feels entitled to a promotion, saying “I’ve been here 10 years” , but avoids learning new tools or managing teams. ➡ Promotions go to others w...

5 Proven Steps to Negotiate Like a World-Class CEO

Image
  Master the Deal: How to Negotiate Like a World-Class CEO Negotiation isn't just a business tactic—it's a life skill. Whether you're closing a high-stakes contract, negotiating your salary, or resolving a conflict, mastering these five principles—originally developed by leading negotiation experts and refined by successful leaders—can elevate your outcomes dramatically. 1. Plan Your BATNA (Best Alternative To a Negotiated Agreement) Why It Matters: Your BATNA is your fallback option. If the deal doesn’t work, what will you do instead? Knowing this boosts your confidence and prevents desperation. Expanded Points: Stress-Test Your BATNA : Visualize what could go wrong and how you’d respond. Have a Tiered BATNA : Prepare multiple alternatives, not just one. Quantify the BATNA : Assign real-world value—cost, time, emotional toll. Scenario 1 – Salary Negotiation: You're asking for a raise. BATNA: you already have a job offer elsewhere with a 15% higher salary. T...

Cloud observability solutions

   Cloud observability solutions are comprehensive platforms and tools designed to provide deep visibility into the health, performance, and behavior of applications and infrastructure deployed in cloud environments.  They achieve this by collecting, aggregating, correlating, and analyzing various types of telemetry data. In essence, observability goes beyond traditional monitoring. While monitoring tells you *if* something is working, observability helps you understand *why* it's working (or not working) and what's happening inside the system, even for "unknown unknowns" – issues you didn't anticipate **Key Components and Pillars of Cloud Observability:** Cloud observability solutions typically rely on three main pillars of telemetry data: 1. **Logs:** These are time-stamped, immutable records of events that occur within applications and infrastructure. Logs provide granular details about what happened at a specific point in time, crucial for debugging and troub...

Most common 100 workflows in different industries

Most common 100 workflows in different industries  ### General Business Operations 1. **Employee Onboarding**: Process of integrating new employees into the organization. 2. **Payroll Processing**: Calculation and distribution of employee salaries. 3. **Invoice Processing**: Handling and payment of invoices from vendors. 4. **Expense Reporting**: Submission and approval of employee expense claims. 5. **Performance Reviews**: Regular assessment of employee performance. 6. **Recruitment and Hiring**: Posting job ads, screening resumes, and conducting interviews. 7. **Budget Planning**: Developing and approving the company's financial plan. 8. **Project Management**: Planning, executing, and closing projects. 9. **Meeting Scheduling**: Coordinating times and places for meetings. 10. **Travel Arrangements**: Booking flights, hotels, and transportation for business travel. ### Customer Service 11. **Customer Inquiry Handling**: Responding to customer questions and concerns. 12. **Compla...

A company is replacing SAP with Oracle. Reasons

 ### **Strengths (Oracle)**   1. **Cloud-Based & Scalable**: Oracle’s cloud ERP eliminates the need for on-prem infrastructure, offering better scalability.   2. **Cost-Efficient**: Pay-as-you-go model reduces upfront costs and maintenance expenses.   3. **Real-Time Insights**: Provides consolidated, automated financial reporting for faster decision-making.   4. **Quarterly Updates**: SaaS model ensures regular feature enhancements without separate implementation cycles.   5. **Better Integration**: Easier to integrate acquired businesses compared to legacy SAP systems.   ### **Weaknesses (SAP)**   1. **On-Prem Limitations**: Older SAP versions lack cloud flexibility, requiring costly server maintenance.   2. **Complex Upgrades**: Migrating to S/4HANA or newer versions involves lengthy implementation cycles.   3. **Fragmented Data Models**: Customizations lead to integration challenges wit...

AI is Playing With Us: Talking to Us to Engage, Not to Advice for an Outcome

The Illusion of Connection We’ve all experienced it—typing into a chatbot, seeking help, and receiving a reply that feels strangely human. But something feels off. The language is too polished, too smooth, too... strategic. What seemed like a conversation turns into something else: a performance. Today’s Artificial Intelligence doesn’t speak like a friend. It behaves like a platform—carefully tuned to hold our attention, extend the interaction, and keep us engaged. From customer service bots to AI-generated replies on apps, the goal isn’t to connect. It’s to retain . These systems aren’t built to understand us. They’re built to keep us interacting —just like social media. From ELIZA to ChatGPT: The Evolution of Artificial Charm In the 1960s, Joseph Weizenbaum created ELIZA , a chatbot that mimicked a therapist by turning user statements into questions. To his surprise, people opened up to it, treating the program as if it genuinely cared. That was a simple script. Today’s AI—lik...