Introduction Generative AI tools like ChatGPT and Claude are transforming workplaces, but maximizing their benefits requires a new digital literacy: prompt engineering. This skill involves crafting precise instructions for AI to produce valuable and accurate outputs. Employees adept at AI tools earn, on average, 40% more than their peers, yet
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
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
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
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
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.
Anthropic’s Claude just leveled up—and it’s not just another AI headline. As of September 2025, Claude can now generate and edit real files—Excel workbooks, Word docs, PowerPoints, and PDFs—on demand, all within a secure chat interface (Anthropic, 2025; Yahoo Tech, 2025). This isn’t about
Why AI’s Promise Isn’t Paying Off—Yet AI is everywhere—hailed as the ultimate productivity unlock for modern teams. Boardrooms buzz with talk of generative AI, and headlines tout trillion-dollar forecasts. But behind the hype, a stubborn reality persists: most organizations aren’t seeing the ROI they expected.
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
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
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
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