Large Language Models (LLMs) like GPT-4, Claude, and Gemini have revolutionized artificial intelligence with their ability to understand and generate human-like text. But a crucial question remains: Can LLMs truly reason?
February 17, 2026
At the India AI Impact Summit in New Delhi, industry leaders from Citibank, Mastercard, and Glance discussed the infrastructure needed to enable trusted agentic commerce in India. Experts highlighted that AI agents transacting autonomously on behalf of users require verified digital identities, payment interoperability, and open commerce frameworks — mirroring India's existing DPI stack — to function safely and at scale.
Source: Medianama
February 17, 2026
AI is eliminating up to 70% of manual effort in analytics workflows by automating data preparation, report generation, and pipeline monitoring. Data teams using AI-assisted tools spend significantly less time on repetitive tasks like data cleaning and transformation, freeing analysts to focus on interpretation and decision-making — directly improving productivity and reducing time-to-insight across enterprise analytics operations.
Source: NASSCOM Community
February 13, 2026
A new report by Basware and FT Longitude reveals that agentic AI is outperforming standard AI in finance, delivering 80% ROI compared to 67% for general AI tools. With nearly half of CFOs under board pressure to show results, accounts payable has become the primary deployment area — automating invoice processing, fraud detection, and compliance checks with minimal human involvement.
Source: Artificial Intelligence News
February 12, 2026
Deloitte is pushing back on the "SaaS is dead" panic sweeping the tech world. According to the firm, traditional enterprise software isn't collapsing — it's evolving into smarter, agent-driven platforms. As AI-native startups pressure legacy vendors with flexible pricing and specialized tools, enterprises will run both side by side, giving IT buyers more negotiating power than ever before.
Source: CIO
February 03, 2026
U.S. and European data analytics and software companies experienced major stock declines after Anthropic launched AI plugins for its Claude Cowork agent. Thomson Reuters dropped 18%, heading for its biggest daily loss on record. The selloff reflects investor concerns that AI automation will disrupt industries previously expected to benefit from AI adoption, particularly legal and professional services sectors.
Source: Reuters
February 03, 2026
Emergency medical services, fire departments, and healthcare organizations are adopting AI and predictive analytics to improve response times and resource allocation. These technologies help forecast demand surges, reduce administrative burdens, and enable proactive community care models. The shift addresses challenges like increasing call volumes and staff shortages while improving patient outcomes through better data interoperability.
Source: MedCity News