Author: Mike
Google is taking its enterprise AI push deeper into the legal sector with Gemini Enterprise for Legal, a new offering designed to help law firms automate complex legal and administrative workflows using AI agents. The move signals a broader shift in enterprise AI—from assistants that answer questions and generate content to AI agents capable of carrying out multi-step tasks across business applications. AI agents enter legal workflows Gemini Enterprise for Legal is designed to support lawyers and legal teams with tasks such as legal research, document preparation, contract analysis and other workflow-intensive activities. Rather than functioning as a standalone chatbot,…
As AI moves from simple question-and-answer applications toward autonomous systems, software engineers are increasingly required to understand how AI agents interact with APIs, databases, enterprise data and other tools. A recent News Live article highlights five Agentic AI certification programs aimed at professionals looking to build tool-connected AI systems, covering areas such as RAG, memory, orchestration, multi-agent systems, monitoring and governance. 1. IIT Bombay – Certificate in Agentic AI The five-month online program focuses on building production-oriented AI agents. The curriculum covers Python, RAG, vector databases, MCP, LangGraph, CrewAI, monitoring, deployment, guardrails and human-in-the-loop systems. The program is positioned for…
Indian enterprises are rapidly experimenting with Agentic AI, but moving autonomous AI systems from promising pilots into reliable production environments remains a significant challenge. The issue is increasingly shifting from “Can we build an AI agent?” to “Can we operate one reliably, securely and economically at enterprise scale?” The NASSCOM Community article highlights this broader challenge facing India’s enterprise AI ecosystem. While organizations are investing in AI agents to automate multi-step workflows and improve productivity, many initiatives struggle when they encounter the realities of enterprise data, governance, integration, reliability and ROI. From AI pilots to production The initial phase of…
Goldman Sachs has raised its price target for Dell Technologies from $500 to $510, while maintaining a Buy rating, citing growing demand for infrastructure driven by the expansion of Agentic AI. The revised target represents roughly 14% upside from Dell’s closing price on August 12. The investment bank believes the increasing deployment of AI agents across enterprise operations will create additional demand for high-performance storage, as autonomous AI systems require access to growing volumes of enterprise data. Dell’s recent results reinforce the trend. In its fiscal first quarter, revenue jumped 88% to $43.8 billion, while earnings per share more than…
The cybersecurity landscape is entering a new phase. As attackers increasingly use AI to accelerate reconnaissance, vulnerability discovery, and other stages of an attack, security teams face a growing challenge: traditional, human-speed defense may not be fast enough to keep pace. This is where Agentic AI for cybersecurity is gaining attention. Kai, an AI cybersecurity company, is positioning its Kai Autonomous Defense Platform as a new approach to enterprise security—one where AI agents can investigate risks, gather context, prioritize exposures, and take remediation actions across security workflows. The company describes its platform as designed to operate at machine speed rather…
Agentic AI is beginning to move from experimentation into measurable enterprise operations, and Cisco is providing a notable example of what that transition can look like. Cisco has reported that its AI systems independently resolved 145,000 customer support cases during fiscal 2026 without human intervention. The development demonstrates how AI agents are moving beyond assisting support employees and beginning to handle defined customer service workflows independently. For enterprises exploring Agentic AI, the announcement highlights a broader shift: the value of AI is increasingly being measured not only by its ability to generate content or answer questions, but by its ability…
Solitics, a leading SaaS provider specializing in adaptive customer engagement and marketing automation, has introduced Saai, an agentic AI platform designed to help retail banks automate marketing operations, accelerate campaign execution, and deliver highly personalized customer experiences. Built specifically for marketing and product teams in the banking sector, Saai is engineered to significantly reduce manual effort while offering seamless integration within 45 days. Unlike generic AI assistants, the platform functions as an embedded AI expert with deep knowledge of retail banking workflows and the Solitics ecosystem, enabling organizations to move from strategy to execution much faster. According to Tomer Baumel,…
Banks are rapidly advancing into a new era of artificial intelligence, moving beyond traditional chatbots and productivity tools toward Agentic AI capable of independently executing complex, multi-step workflows across highly regulated banking operations. As competition intensifies in wealth management, commercial banking, and transaction services, financial institutions are making significant investments in AI platforms, specialized talent, and enterprise-wide AI strategies. Their objective is to improve operational efficiency, strengthen regulatory compliance, accelerate customer onboarding, and deliver more personalized financial services. Recent initiatives by HSBC, OCBC, and Standard Chartered demonstrate how AI is evolving from a supporting technology into a strategic business capability,…
Financial institutions are embracing Agentic AI to automate complex operations, but one challenge continues to slow adoption: governance. In highly regulated industries such as banking, AI cannot simply make decisions without providing transparency, accountability, and evidence that regulators can review. To address this challenge, Fenergo has introduced Fen-AI, a governed agentic AI orchestration platform designed specifically for financial institutions. The platform enables banks to automate client lifecycle management, Know Your Customer (KYC), Anti-Money Laundering (AML), and compliance workflows while ensuring every AI action is explainable, traceable, and supported by a complete audit trail. The launch highlights an important shift in…
The banking industry is entering a new phase of digital transformation where Agentic AI is moving beyond chatbots and virtual assistants to automate complex business processes. Singapore-based OCBC Bank has announced the deployment of an agentic AI platform called Helios to streamline wealth management client onboarding. The initiative demonstrates how autonomous AI agents can improve operational efficiency, strengthen compliance, and enhance customer experience—all while maintaining human oversight. Rather than simply answering customer queries, OCBC’s AI platform actively performs tasks that traditionally required multiple teams, documents, and weeks of manual processing. Why Wealth Client Onboarding Is Complex Opening a wealth management…