AI Agents

Technology Game Changers: AI, Robotics & the Future of Human-Centered Innovation

Technology Game Changers: AI, Robotics & the Future of Human-Centered Innovation

In Technology Game Changers, leaders from Agility Robotics, Lenovo, Databricks, Mistral AI, and Maven Clinic showcase how AI and robotics are moving from novelty to necessity. From Peggy Johnson’s Digit transforming warehouse labor, to Lenovo’s hybrid AI ecosystem, Databricks' frictionless AI UIs, Mistral’s sovereignty-focused open-source models, and Maven’s virtual women’s health platform, this article explores the intelligent, personalized, and responsible future of tech. The next frontier of innovation isn’t just smart—it’s human-centered.

Microsoft 365 Copilot Adds AI Deep Research Tools: Researcher and Analyst

Microsoft 365 Copilot Adds AI Deep Research Tools: Researcher and Analyst
Microsoft has upgraded its 365 Copilot with AI-driven tools—Researcher and Analyst—designed to handle deep research, strategic analysis, and data insights. Powered by OpenAI models, these features allow users to perform complex tasks like market planning, client reporting, and advanced analytics, while integrating data from platforms like Salesforce and Confluence.

Observe.AI Launches VoiceAI for Call Center Automation

Observe.AI Launches VoiceAI for Call Center Automation
Observe.AI has unveiled VoiceAI agents—intelligent, realistic voice-powered AI tools designed to automate contact center operations. These AI agents manage routine customer interactions using advanced voice technology, reduce support costs by up to 80%, and integrate easily with tools like Salesforce and Zendesk. With features like interruption detection and robust data security, VoiceAI agents mark a leap forward in contact center automation.

SoftBank Launches AI-Powered Large Telecom Model for Network Automation

SoftBank Launches AI-Powered Large Telecom Model for Network Automation
SoftBank has launched the Large Telecom Model (LTM), a domain-specific, AI-powered foundation model built to automate telecom network operations. From base station optimization to RAN performance enhancement, LTM enables real-time decision-making across large-scale mobile networks. Developed with NVIDIA and trained on SoftBank’s operational data, the model supports rapid configuration, predictive insights, and integration with SoftBank’s AITRAS orchestration platform. LTM marks a major step in SoftBank’s AI-first strategy to build autonomous, scalable, and intelligent telecom infrastructure.

Nvidia GTC 2025: AI Breakthroughs with Blackwell Ultra, Agentic AI and Robotics

Nvidia GTC 2025: AI Breakthroughs with Blackwell Ultra, Agentic AI & Robotics
Nvidia GTC 2025 introduced AI advancements, including Blackwell Ultra AI chips, agentic AI, and AI Factories. With innovations in robotics, generative AI, and AI-driven cloud computing, Nvidia is shaping the future of AI-powered industries. Discover how these technologies are transforming healthcare, finance, automotive, and enterprise applications.

Verizon Unveils AI Assistant for Small Business Customer Support

Verizon Unveils AI Assistant for Small Business Customer Support
Verizon Business has introduced the Verizon Business Assistant, an AI-powered tool that helps small businesses automate customer interactions via text messaging. This AI-driven solution enables 24/7 customer support, instant responses, and seamless human handoff when needed. Designed to enhance customer engagement and business efficiency, the AI assistant learns from past interactions, allowing businesses to focus on growth while providing fast and accurate responses to customer inquiries.

MWC 2025 Keynote 5: The AI Frontier: Transformative Visions & Societal Impact

MWC 2025 Keynote 5: The AI Frontier: Transformative Visions & Societal Impact
AI is reshaping the world—transforming business, governance, and human interactions while raising critical questions about ethics, security, and digital equity. At MWC 2025, global AI pioneers, including Ray Kurzweil, Vilas Dhar, and industry leaders, will discuss AI’s role in automation, human augmentation, and the future of work. Join this thought-provoking keynote to explore how we can harness AI responsibly for an inclusive, innovative, and sustainable future.

GSMA Launches Open-Telco LLM Benchmarks for AI in Telecom

Why AI Agents Can't Scale Without LLMs: Essential Guide & Free Resources
The GSMA Foundry has launched Open-Telco LLM Benchmarks, an open-source AI evaluation framework designed to enhance telecom-specific large language models (LLMs). Supported by Hugging Face, The Linux Foundation, Deutsche Telekom, SK Telecom, and more, this initiative aims to improve AI efficiency, security, and compliance in 5G and 6G networks. Learn how this industry-wide benchmark is shaping the future of telecom AI innovation.

The Core Components of AI Agents: How They Perceive, Learn, Reason, Act, and Communicate

The Core Components of AI Agents: How They Perceive, Learn, Reason, Act, and Communicate
AI agents are transforming industries by automating tasks, improving decision-making, and enabling intelligent interactions. This article explores the five core components of AI agents—perception, learning, reasoning, action, and communication—detailing their functions, technologies, and real-world applications across finance, healthcare, retail, and more.

What Are AI Agents? Key Features, Benefits & Industry Impact

What Are AI Agents? Key Features, Benefits & Industry Impact
What are AI agents? AI agents are intelligent software systems that perform tasks autonomously, adapt to new data, and make context-aware decisions. Unlike traditional automation, AI agents use machine learning, NLP, and advanced analytics to improve efficiency, reduce costs, and drive business growth. Explore their key features, benefits, and industry applications in this in-depth AI Agent Blog Series.

Why AI Agents Can’t Scale Without LLMs: Essential Guide & Free Resources

Why AI Agents Can't Scale Without LLMs: Essential Guide & Free Resources
AI agents are transforming industries in 2025, but scaling them efficiently without Large Language Models (LLMs) is impossible. LLMs provide critical capabilities such as reasoning, knowledge retrieval, and contextual understanding that power AI automation. This detailed article explores why LLMs are essential for AI agents, the role of Retrieval-Augmented Generation (RAG), optimization strategies, and the best free resources to master LLMs.

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