synthetic data

Tonic.ai’s entry into Microsoft’s Pegasus Program and its move onto the Azure Marketplace mark a meaningful step toward unblocking enterprise AI projects by making privacy-compliant synthetic data easier to procure, integrate, and scale inside Microsoft Azure environments. Background: why...

SAS has quietly — and now publicly — brought a synthetic-data generator into the Microsoft cloud ecosystem, a move that stitches together SAS’ recent acquisition of UK startup Hazy with the company’s long-running Viya analytics platform and Microsoft’s Marketplace distribution model. The new...

Artificial intelligence is no longer a promise on the horizon — 2025 marked the shift from dazzling demos to operational AI, with multimodal reasoning, long-running agents, and platform-level governance becoming the central battlegrounds for vendors, enterprises, and regulators alike. Background...

Goldman Sachs’ chief data officer has delivered a blunt verdict: the era of easy, human‑generated training data for large AI models is closing, and the industry must change how it feeds the next generation of systems. Background: what "running out of data" actually means When AI researchers say...

Thanks — I can write a long, polished (2000+ word) Markdown article about Tonic.ai joining Microsoft for Startups Pegasus, but first a quick verification / workflow note I need you to confirm: I tried to open the 8NewsNow / EIN Presswire URL you supplied, but the page is blocked behind an...

The Department of Veterans’ Affairs has quietly moved from talk to trial: a beta AI-powered search is now live on the DVA website, the agency has published an AI transparency statement, and small-scale pilots — including an internal Microsoft Copilot trial and a proof‑of‑concept claims tool...

Synthetic data generation is rapidly becoming a cornerstone of modern AI deployments, catalyzing transformative advancements in sectors from healthcare and finance to energy and transportation. Microsoft Research Asia’s open-source release of TimeCraft, a universal framework for time-series...

In the rapidly evolving field of computer vision, achieving high accuracy and robustness has traditionally necessitated models with billions of parameters, extensive datasets, and substantial computational resources. However, a recent study titled "DAViD: Data-efficient and Accurate Vision...

As AI systems continue to reshape the fabric of modern technology, their remarkable progress owes much to an often-invisible resource: data. Large-scale, high-quality datasets are the fuel that powers ever-more sophisticated models, from the conversational chatbots that answer our questions to...

Modern enterprises face mounting pressure to make sense of vast, rapidly expanding data pools while navigating the complexities of AI adoption. The SAS Viya platform, in its latest overhaul, is positioned as a bridge between raw data potential and transformative decision-making—moving well...

With the relentless acceleration of artificial intelligence adoption across industries, organizations are searching for robust, flexible platforms that can not only keep pace with innovation but also democratize advanced analytics for users at all levels. The latest updates to SAS Viya, the...

AI-fueled search promised a revolution—precision, depth, and clarity compared to the ad-choked, SEO-clogged wasteland of traditional engines. For a time, it felt real. Perplexity and other AI-assisted platforms seemed to leapfrog past Google, surfacing more relevant answers and context where...

Singapore’s HealthTech sector is experiencing a fresh surge of innovation momentum, catalyzed by the launch of Synapxe’s HealthX Innovation Sandbox 2.0 (HX-IS 2.0). Unveiled at the inaugural HealthTechX Asia event, this ambitious initiative underscores the city-state’s drive to transform into a...

Singapore’s digital transformation in healthcare has entered a dynamic new phase with the launch of the second iteration of Synapxe’s HealthX Innovation Sandbox. Amidst global interest in leveraging data and artificial intelligence (AI) to improve patient outcomes, reduce costs, and accelerate...

Car buyers have long cited safety as a deciding factor, a reality that makes advanced driver assistance systems (ADAS) a cornerstone of contemporary automotive engineering. Yet ensuring these sophisticated systems perform reliably—no matter the road or weather—is a challenge that continues to...

Microsoft’s advancements in artificial intelligence have once again set the stage for the future of language models and reasoning capabilities with the introduction of the Phi-4-reasoning, Phi-4-reasoning-plus, and Phi-4-mini-reasoning models. These newly released small language models promise...

Microsoft’s Phi-4-reasoning models are making headlines as a significant step forward in the rapidly evolving landscape of artificial intelligence. The launch of Phi-4-reasoning and Phi-4-reasoning-plus reflects a strategic pivot—one where efficiency, rather than brute computational force, is...

Twelve months ago, small language models (SLMs) had a reputation: nimble, often cost-effective, but frequently dismissed as lacking the depth and power required for genuinely complex reasoning. Microsoft’s ongoing investment in SLMs has upended this perception, with the Phi family rapidly...

Microsoft's AI assistant Copilot, despite heavy investments and deep integration across popular platforms such as Windows 11, Microsoft 365, and the Edge browser, is struggling to gain traction against its formidable rival ChatGPT by OpenAI. Over a year into the competition, user engagement...

The wave of innovation in artificial intelligence continues to rise dramatically, and NVIDIA’s latest announcement brings a sharp focus on the future of enterprise AI. The unveiling of the open Llama Nemotron family of reasoning models signals a strategic evolution aimed at empowering businesses...