The manufacturing industry is at an inflection point. Over the last decade, the sector has been moving toward digitalization, streamlined processes, and incremental efficiency improvements. We now have smart factories—systems that alert humans to issues—but the mandate has evolved. Today, Artificial intelligence applications in smart manufacturing plants are enabling the next...

Beyond GPT: What’s Next for Generative AI in 2026 Generative AI has transformed the industry, with EdTech applications developing customized learning experiences, and companies automating content creation and communication. GPT models were a tremendous innovation, but now, as we head toward Generative AI in 2026, the landscape is changing. A critical question that organizations and...

Beyond GPT: What’s Next for Generative AI in 2026 Generative AI has transformed the industry, with EdTech applications developing customized learning experiences, and companies automating content creation and communication. GPT models were a tremendous innovation, but now, as we head toward Generative AI in 2026, the landscape is changing. A critical question that organizations and...

AITech Interview with Zach Bennett, Microsoft Teams MVP and Principal Architect at LoopUp, explores his journey from Cisco systems to Microsoft Teams Phone leadership. Zach shares Microsoft Teams MVP insights on AI-driven cloud telephony, telecom data integration, and LoopUp Microsoft Teams strategies that boost productivity, enhance workflows, and ensure security in enterprise communication....

AITech Interview with Zach Bennett, Microsoft Teams MVP and Principal Architect at LoopUp, explores his journey from Cisco systems to Microsoft Teams Phone leadership. Zach shares Microsoft Teams MVP insights on AI-driven cloud telephony, telecom data integration, and LoopUp Microsoft Teams strategies that boost productivity, enhance workflows, and ensure security in enterprise communication....

Innovation Isn’t Broken—but Execution Is Across industries, executives have grown weary of proof-of-concept fatigue. Many AI Projects show promise in the lab but fail to scale across real-world systems. According to McKinsey’s 2025 Global AI Pulse, only 23% of AI Projects achieve widespread deployment. What’s stalling progress? Poor Data Engineering infrastructure is...

IT budgets are on the rise. 91% of technology decision-makers project higher allocations this year, and AI, machine learning, large language models, and automation continue to dominate IT roadmaps. In this Era of IT Innovation, leaders are under pressure to ensure investments Unlock Value and deliver measurable business outcomes. But there’s been a noticeable slowdown in AI adoption over...

The Defining Trends of 2025 The use of AI Algorithms in the health sector has gone beyond pilots and single demonstrations of concept. One of the biggest changes this year is the emergence of multimodal AI, which combines imaging, genomic profiles, unstructured physician notes, and real-time sensor data into single models. This innovation in Medical Big Data enables clinicians to consider...

AI is reshaping workflows, decision-making, and automation, making upskilling essential as employees struggle to keep pace with rapid advancements.