AI News

Mondelēz International, the global snacking powerhouse behind brands like Oreo and Cadbury, is proving that generative AI isn't just a buzzword. It's a game-changer. By implementing a tailored generative AI platform, Mondelēz has slashed marketing content production costs by 30–50% (Sunday Guardian Live). Built in collaboration with Accenture and Publicis Groupe, this tool is transforming digital ad and social content production, setting a new standard for enterprise AI with a focus on ROI and a

Today's enterprise leaders face a critical decision: Should you adopt a ready-made AI platform like OpenAI’s ChatGPT Enterprise, or build a custom solution with open-source models? This choice significantly impacts organizational productivity, data strategy, and competitive standing. Generative AI adoption is booming, with 65% of organizations now regularly leveraging AI, twice the rate seen in 2023 (Business Today, 2025). As AI becomes integral to daily workflows, deciding between proprietary

JPMorgan Chase, the largest U.S. bank, is at the forefront of enterprise AI adoption. By deploying a ChatGPT-style assistant throughout its workforce, the bank has improved client service and team productivity. This generative AI tool, known internally as a "virtual research analyst," serves as an on-demand knowledge companion for employees (FA-Mag). What began as a cautious experiment has morphed into one of Wall Street’s largest AI deployments, driving tangible results. From Cautious Experim

Small businesses in the UK are on the brink of a productivity revolution. Through a partnership with OpenAI, eBay has launched a £3 million initiative called AI Activate to assist up to 10,000 UK SMBs in adopting advanced AI productivity tools (TechRadar). This program offers 12 months of complimentary access to ChatGPT Enterprise, coupled with detailed training and support for crafting bespoke AI solutions (TechRadar). eBay and OpenAI want to train small businesses in getting the most out of A

A New Era in Customer Support Salesforce, a leader in CRM solutions, is setting a new benchmark in customer support through AI. In 2025, the company launched its Agentforce AI platform, automating nearly half of its service tasks and reducing its support team from 9,000 to 5,000 employees. Despite this reduction, service quality not only remained stable but, in some cases, improved (OpenTools.ai; Folio3.ai). CEO Marc Benioff calls this shift an “exciting new chapter,” highlighting AI's rapid im

BNY Mellon, with $52 trillion under management, isn’t just keeping pace with Wall Street’s AI revolution. It’s leading it. In 2023, the bank launched Eliza, an enterprise AI platform built on GPT-4 and hosted in Azure, to weave artificial intelligence into every corner of its operations (Cloud Wars). Under CEO Robin Vince, BNY Mellon signed a multi-year partnership with OpenAI, not to replace jobs, but to supercharge efficiency and client service (TIME). Today, every one of BNY’s 50,000+ employ

AI productivity tools have moved from “nice-to-have” to business-critical almost overnight. In 2024, 92% of companies reported ramping up AI adoption, with generative AI now woven into daily workflows (TechTarget). The results are hard to ignore: customer support teams boosted productivity by 14% with AI assistance (PYMNTS), and software engineers at JPMorgan Chase saw efficiency gains of up to 20% (X-Team). In controlled trials, developers using AI pair programmers completed tasks 55.8% faster

AI isn’t just a buzzword at AT&T. It’s a productivity engine. Since ChatGPT’s debut, over 80% of Fortune 500 companies have tested generative AI, and by mid-2024, 65% of U.S. business leaders reported active use (Reuters). But few have operationalized it at the scale of AT&T. Their internal AI assistant, Ask AT&T, offers a rare, practical playbook for deploying generative AI across a massive enterprise. Secure, Scalable AI: How AT&T Built for 100,000+ Employees Ask AT&T launched in 2023 as a

AI productivity tools, from coding copilots to chat-based agents, are flooding enterprise workflows. Adoption is nearly universal, but operational readiness is lagging far behind. This “reliability gap” is quietly undermining the productivity gains that leaders expect from AI. Recent data and high-profile outages reveal the real costs: lost hours, eroded trust, and mounting firefighting. If you’re leading a team or driving AI adoption, it’s time to treat reliability as a first-class priority, no

Morgan Stanley has achieved what most enterprises only talk about: 98% adoption of its GPT-4-powered internal assistant across 16,000+ financial advisors (Klover.ai). In a sector notorious for slow tech uptake, this is a watershed moment: proof that, with the right approach, generative AI can move from novelty to mission-critical infrastructure. The financial world is taking notice. Industry leaders are calling Morgan Stanley’s rollout a “game changer” and a definitive blueprint for enterprise