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Techedge AI is a niche publication dedicated to keeping its audience at the forefront of the rapidly evolving AI technology landscape. With a sharp focus on emerging trends, groundbreaking innovations, and expert insights, we cover everything from C-suite interviews and industry news to in-depth articles, podcasts, press releases, and guest posts. Join us as we explore the AI technologies shaping tomorrow's world.

Gartner Predicts by 2027, Organizations Will Use Small, Task-Specific AI Models Three Times More Than General-Purpose Large Language Models

Gartner Predicts by 2027, Organizations Will Use Small, Task-Specific AI Models Three Times More Than General-Purpose Large Language Models

STAMFORD, Conn., April 9, 2025 – Gartner, Inc. predicts that by 2027, organizations will implement small, task-specific AI models, with usage volume at least three times more than those of general-purpose large language models (LLMs).

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India Workforce Engagement Plummets to 19% in 2025, Defying Global Trends: ADP Research

India Workforce Engagement Plummets to 19% in 2025, Defying Global Trends: ADP Research

According to the second study in ADP Research’s refreshed “People at Work 2025” report series, engagement in India declined to 19% in 2025, down from 24% in 2024. This five-percentage-point decrease marks the steepest decline globally, contrasting sharply with sustained growth in global engagement.

Read More: India Workforce Engagement Plummets to 19% in 2025, Defying Global Trends: ADP Research
Jim Ducharme on Digital Identity, Zero Trust & Cybersecurity Trends

Jim Ducharme on Digital Identity, Zero Trust & Cybersecurity Trends

1. What are the biggest challenges organizations face in securing digital identities, and how can they overcome them ? Unfortunately, I see digital identity as the most consequential attack vector. If it were a football team, I would say it only has 3 problems – Offense, defense, and special teams. Too many companies are still…

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Data Integrity in AI/ML: Roman Zednik on Reliability & Compliance

Data Integrity in AI/ML: Roman Zednik on Reliability & Compliance

1. How can organisations ensure that the data used in AI and ML systems is reliable to avoid biases or producing flawed insights? Organisations must adopt a comprehensive data integrity strategy to ensure that AI and ML systems are built on reliable data. This means implementing rigorous testing throughout the entire data lifecycle – validating…

Read More: Data Integrity in AI/ML: Roman Zednik on Reliability & Compliance
Smart Building Automation: Fabio Zaniboni on Bluetooth Mesh & IoT

Smart Building Automation: Fabio Zaniboni on Bluetooth Mesh & IoT

1. What are the advantages of Bluetooth® Mesh technology compared to other wireless communication protocols in automation? Bluetooth® Mesh offers a fully distributed network, eliminating single points of failure and improving system resilience—especially in large deployments like commercial buildings. It also uses end-to-end encryption, ensuring robust security at every node. Unlike proprietary protocols, Bluetooth® Mesh…

Read More: Smart Building Automation: Fabio Zaniboni on Bluetooth Mesh & IoT
Oracle and NVIDIA Revolutionize AI with OCI Integration

Oracle and NVIDIA Revolutionize AI with OCI Integration

Oracle and NVIDIA have announced a groundbreaking integration between NVIDIA’s accelerated computing and inference software with Oracle Cloud Infrastructure (OCI). This collaboration aims to accelerate the development of agentic AI applications by providing enterprises with powerful AI tools, microservices, and infrastructure.

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Wireless Power IoT: Dr. Greene on Sustainability & Efficiency

Wireless Power IoT: Dr. Greene on Sustainability & Efficiency

1. What factors should businesses consider when transitioning from battery-powered to wirelessly powered IoT networks? There are 3 important factors to consider when looking at wireless power – Location, Coverage, and Data. Maintenance and waste concerns typically limit the number of battery-powered sensors that can reasonably be used for any given application. For example, retailers…

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Securing AI Agent Communication: Decentralized Identity & Protocol

Securing AI Agent Communication: Decentralized Identity & Protocol

1. What are the biggest challenges in enabling AI agents to communicate securely across different enterprises?  There are two important aspects to this communication: ·         Identity ·         Protocol Let us do a deeper dive on each of these aspects. IDENTITY Today AI Agents are being built for use within…

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