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India’s Rapid AI Adoption Transforms Industries, Enhances Operational Efficiency: Report

India's Corporate India Risk Index (CIRI) 2024 report reveals increasing integration of AI across industries and improved risk handling in businesses.
Strategic adoption of AI in sectors like BFSI, healthcare, and manufacturing has enhanced operational efficiency and addressed challenges from technological advancements.
IT companies in India have focused on innovation, cybersecurity measures, and technology investments like AI and automation to meet evolving client demands.
Despite challenges, growth in IT, healthcare, and education sectors driven by AI adoption; emphasizes need for stricter data protection and AI ethics discussions.

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Analyticsindiamag

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EPAM Posts 11.7% Revenue Growth in Q1 2025, CEO Dobkin Transitions to Executive Chairman

EPAM Systems reports an 11.7% revenue growth in Q1 2025, reaching $1.302 billion.
Full-year revenue growth guidance raised to 11.5% to 14.5% due to strong performance and revised forex assumptions.
CEO Arkadiy Dobkin to transition to Executive Chairman on September 1, 2025; Balazs Fejes to become CEO and President.
GAAP income from operations at 7.6% of revenue; Non-GAAP income from operations at 13.5% of revenue.

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ideaForge, Resonia Partner to Use Drones in Power Sector

ideaForge Technology Limited and Resonia Limited have signed an MoU to integrate drone and robotics technologies into India’s power transmission sector to modernize survey, construction, and maintenance operations of transmission infrastructure nationwide.
The partnership will deploy ideaForge’s unmanned aerial vehicles (UAVs) across Resonia’s transmission projects for GIS surveys, route planning, construction progress monitoring, and asset inspections, with a focus on efficiency, safety, and reliability.
The collaboration aims to reduce costs, improve safety, and accelerate project timelines by using heavy-lift drones for material transport and wire stringing, traditionally reliant on helicopters or manual labor.
ideaForge will provide training and certification workshops for safe drone operations in compliance with regulations and is also engaged in joint research and development efforts to customize drone solutions for the energy sector's evolving needs.

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Analyticsindiamag

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Now, OpenAI Will Store ChatGPT Enterprise and API User Data in India

OpenAI has introduced data residency in Asia allowing organisations in Japan, India, Singapore, and South Korea to store data locally while using its products.
Data residency feature enables API customers and ChatGPT Enterprise and Edu users to have their content stored at rest in supported countries, including conversations, prompts, uploaded files, and context across different mediums.
OpenAI ensures robust data privacy, security, and compliance features supporting various organisations across Asia, including Kakao, SoftBank, Grab, and Singapore Airlines.
OpenAI is using AES-256 encryption for data at rest and TLS 1.2+ for data in transit, supporting compliance with GDPR, CCPA, and other privacy laws, and adhering to CSA STAR and SOC 2 Type 2 standards.

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Zed Hopes VS Code Forks Lose the AI Coding Race

Zed is an open-source alternative to AI coding tools like Cursor and Windsurf, built using Rust, claiming to be the fastest AI code editor.
Developers like Zed for its speed, lack of bloat, local model usage, and Claude Code integration without MCP extensions.
Some developers have shifted from VS Code to Zed for simplicity, speed, performance, multi-buffers, and native Vim mode.
Friction points for Zed include inconsistent AI integration, autocomplete behind a paywall, and perceived lack of value in some features.
Zed stands out by not trying to replicate VS Code, offering Agentic Editing abilities and support for custom models through Ollama.
While some AI features of Zed are behind a paywall, it remains privacy-respecting and performance-first, catering to developers valuing speed and privacy.
Zed's potential lies in being an open-source AI-enabled editor, appealing to developers seeking a different approach from VS Code forks.
Despite drawbacks, Zed offers a refreshing alternative for developers prioritizing speed, privacy, and avoiding bloated editors.
Developers who rely on robust extensions or fully integrated AI support may find Zed's current feature set lacking.
In conclusion, Zed presents a unique value proposition for those looking to explore a distinct code editor option apart from the popular VS Code forks.

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Medium

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Technical Report: Sir George Green City Analysis for 2024.

This report analyzes the performance of Sir George Green City in 2024 focusing on energy consumption, work and sleep patterns, transport-related emissions, and lifestyle metrics for sustainability planning.
The dataset includes records divided by gender and age for various indicators including energy consumption, work hours, shopping duration, carbon footprint, calories burned, mode of transportation, and sleep hours.
Key findings include insights on energy consumption by gender, work and shopping time by age group, carbon footprint by age group, mode of transportation and emissions, sleep patterns by gender, and calories burned by age group.
Recommendations include integrating smart sensors for better demographic representation, designing interventions for specific age groups, promoting public transport usage, exploring indirect emission zones, and ensuring gender inclusivity in data collection and policy planning.

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Analyticsindiamag

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Coforge, ServiceNow Implement AI-Powered Dispute Management Solution

Coforge Limited implemented ServiceNow’s AI-powered Financial Services Operations (FSO) Dispute Management module for Blackhawk Network.
The collaboration aims to digitalize and streamline dispute resolution processes in the financial services industry.
The initiative combines Coforge’s AI frameworks and ServiceNow’s generative AI capabilities to automate and scale dispute management for financial institutions.
ServiceNow’s FSO Dispute Management module enhances speed, accuracy, and compliance in resolving transaction disputes using automation and AI features.

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Medium

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Technical Report on Chocolate Sales Dashboard Analysis – 2024

The dataset for the Chocolate Sales Dashboard Analysis includes sales transactions spanning from January to August 2024, with columns such as Product Name, Country, Quantity Sold, Revenue, Salesperson, and Date.
Objectives of the analysis include identifying top-performing products by revenue and quantity, evaluating sales performance by country and salesperson, discovering trends and seasonality in monthly sales, and translating insights into business recommendations.
Key metrics focused on include Total Revenue, Total Quantity Sold, Product Performance, Regional Sales Distribution, Salesperson Performance, and Monthly Trends.
The analysis revealed insights such as the highest revenue generated by Smooth Silky Salty, the highest units sold by 50% Dark Bars, Australia leading in both revenue and volume, and recommendations like increasing promotion for top products and targeting underperforming regions for growth.

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Medium

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AI Agent Communication Protocols: The Foundation of Collaborative Intelligence

AI Agent Communication Protocols are reshaping the landscape by enabling interconnected AI systems to collaborate on complex tasks and deliver value.
The Agent-to-Agent (A2A) protocol, introduced by Google, allows autonomous agents to communicate over standard HTTP connections, enabling effective collaboration.
Microsoft's integration of A2A with Semantic Kernel Python demonstrates practical applications in travel planning, showcasing specialized agents collaborating effectively.
Anthropic's Model Context Protocol (MCP) serves as a 'USB port for AI applications,' enabling AI assistants to connect to various data sources without custom integration.
MCP implements a permission-based model for accessing tools and data during conversations, emphasizing privacy and security requirements.
The Agent Communication Protocol (ACP) facilitates multimodal exchanges in AI systems, handling diverse data types and communication patterns seamlessly.
The Agent Network Protocol (ANP) addresses trust and discovery in permissionless AI ecosystems, using decentralized identifiers for verifiable interactions.
The Agent-to-Agent Communication Protocol (AACP) introduces formal semantics for multi-agent collaborations through structured message formats.
These protocols complement each other in creating powerful AI ecosystems that span organizational boundaries and enhance collaboration.
The evolution of AI communication protocols indicates trends towards improved patient outcomes in healthcare, enhanced security in finance, and overall AI ecosystem transformation.

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Analyticsindiamag

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Figma Finally Enters the Vibe Coding Race

Figma introduced a set of updates with Figma Make, including prompt-to-code tool for interactive prototypes.
Figma Make enables designers to prompt functionality like animations and interactivity using natural language.
Figma also launched Figma Sites for publishing prototypes to live websites and Grid for responsive behavior.
Additionally, Figma unveiled Figma Draw for advanced illustration tools and Figma Buzz for brand and marketing teams.

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Analyticsindiamag

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AI in Cybersecurity is a Double-Edged Sword for Indian Enterprises

Enterprises are turning to AI to address cyber threats, creating a complex landscape for Indian businesses.
AI can be both beneficial and risky in cybersecurity, requiring careful consideration before implementation.
A balanced approach to AI-powered cybersecurity includes AI-driven solutions, rule-based systems, and human oversight.
Indian organisations should focus on 'minimum viable security' and consider AI-driven security services to enhance their security posture.

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Medium

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Career in Programming: Your Ultimate Guide to Thriving in Tech (2025)

Use platforms like freeCodeCamp, Codecademy, or Coursera to learn the basics of programming.
Create real projects to showcase your skills and accelerate your learning process.
Utilize Git and GitHub for collaboration and building your portfolio.
Learn about Agile, Scrum, testing methods, and deployment processes to excel in team environments.

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Analyticsindiamag

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Amazon Unveils Vulcan, Its First Robot With a Sense of Touch

Amazon unveiled its first robot with a sense of touch, Vulcan, at the Delivering the Future event in Germany.
Vulcan is deployed in Amazon's fulfilment centers to enhance worker safety, operational efficiency, and order processing speed.
Utilizing force feedback sensors and specialized arm tools, Vulcan can handle products delicately and efficiently within storage bins.
Amazon's automation strategy includes Vulcan as part of efforts to improve workplace safety and operational efficiency.

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Analyticsindiamag

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Microsoft Backs Google’s Open Agent2Agent Protocol to Power Multi-Agent AI Apps

Microsoft is expanding support for Google’s open AI agent interoperability protocol known as Agent2Agent (A2A) in Azure AI Foundry and Copilot Studio.
The A2A protocol enables structured agent communication, exchanging goals, managing state, invoking actions, and returning results securely and observably.
With A2A support, Azure AI Foundry customers can build complex, multi-agent workflows that span internal copilots, partner tools, and production infrastructure while maintaining governance and SLAs.
Microsoft has joined the A2A working group on GitHub, plans to contribute to the protocol’s specification and tooling, and expects a public preview of A2A support in Foundry and Copilot Studio soon.

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Towards Data Science

201

A Practical Guide to BERTopic for Transformer-Based Topic Modeling

BERTopic is a python library for transformer-based topic modeling, useful in various NLP applications like document tagging and content organization.
BERTopic consists of 6 core modules for topic modeling customization: Embeddings, Dimensionality Reduction, Clustering, Vectorizers, c-TF-IDF, and Representation Model.
Using sentence-transformer models, BERTopic converts text into semantic embeddings, with options like 'all-MiniLM-L6-v2' and 'BAAI/bge-base-en-v1.5'.
Dimensionality Reduction techniques like UMAP are vital for reducing high-dimensional embeddings to improve cluster formation.
Clustering involves grouping text documents into topics using models like HDBSCAN and K-Means based on semantic similarity.
Vectorizer options like CountVectorizer help create matrix representations of terms in documents to improve topic analysis.
c-TF-IDF focuses on reducing frequently encountered words across clusters by evaluating keyword importance at the cluster level.
Representation Model leverages semantic similarity to refine topic keywords, offering options like KeyBERTInspired for better topic descriptions.
Practical application on Apple financial news data demonstrates the effectiveness of BERTopic modules in identifying meaningful topics.
Experimentation and customization of each BERTopic module help improve topic representations and reveal insights from textual data.
BERTopic's versatility and customizable modules make it a powerful tool for transformer-based topic modeling in NLP tasks.

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