In the age of AI, your LinkedIn profile just got a serious upgrade. Appy Pie, the no-code app builder, has teamed up with Name.com, the domain registration heavyweight, to launch a free AI-powered tool that turns your LinkedIn profile or resume PDF into a full-fledged website—in minutes, no code necessary.
In a move that sharpens the competitive edge of enterprise tech, HCLTech and AMD have announced a strategic alliance to accelerate digital transformation across industries. The partnership blends AMD’s muscle in high-performance computing with HCLTech’s deep expertise in digital modernization—positioning both companies to shape the next generation of enterprise AI, cloud, and data solutions.
Mumbai, India, 24th June 2025 — Palo Alto Networks, the world’s leading AI cybersecurity company, released its State of Generative AI 2025 report, which reveals that on average, 10% of a company’s 66 GenAI apps are high-risk. While AI growth offers significant productivity benefits, the report warns that unsanctioned usage, emerging threats, and a lack of governance have rapidly expanded the attack surface for organisations, particularly across India and the Asia-Pacific region.
As the boundary between artificial intelligence and blockchain tech continues to blur, Antier is planting its flag firmly at the intersection. The global blockchain development firm has announced the launch of its AI-powered, hyper-converged infrastructure—a bold move designed to redefine how developers build and scale Web3 gaming ecosystems.
As healthcare systems struggle under the weight of administrative overload, VoiceCare AI has emerged from stealth with $4.54 million in seed funding and a bold goal: eliminate the time sink of back-office phone calls with AI-powered voice agents.
Doosan Robotics is gearing up to make a major statement at Automatica 2025, Europe’s premier automation trade fair kicking off June 24 in Munich. The South Korean robotics innovator will showcase a slate of next-generation, AI-powered solutions in a two-part exhibition designed to bridge futuristic concepts with factory-floor reality.
As global IT spending barrels toward a projected $5.74 trillion in 2025, one thing oddly remains stuck in time: traditional outsourcing. Despite a decade of AI breakthroughs and transformation talk, much of the IT services industry still leans heavily on headcount-based models built for a slower, less agile world.
In a world where milliseconds matter, CHAI just clocked a major win in the race to optimize large language models (LLMs). The fast-growing AI startup announced it has successfully deployed quantized LLMs, cutting inference latency by 56%—a significant achievement as its platform now handles 1.2 trillion tokens daily, putting it in the same league as Anthropic’s Claude.
New global survey data from BioInformatics’ Beyond the Bench series reveals that 87% of scientists and researchers are now using AI for work-related research tasks, up from 75% in 2023. But this dramatic rise in adoption is being tempered by a wave of caution: issues around data fidelity, trust, training, and real-world usability are becoming impossible to ignore.
