Small businesses are leveraging AI, automation, and secure data practices to streamline operations, personalize customer experiences, manage growth with lean teams, and thrive amid economic shifts and rising expectations, embracing trusted technologies to simplify workflows and create seamless omnichannel engagement.
Groundbreaking research exposes limitations of AI in software engineering, highlighting challenges with large codebases, proprietary conventions, and lack of uncertainty handling, prompting calls for richer data, evaluation suites, and transparent AI-human collaboration tools.
AI developers with expertise in data infrastructure, system integration, prompt engineering, and strategic thinking are in high demand as companies seek to harness AI's business impact while ensuring safety and reliability.
Groundbreaking artificial intelligence technology empowers couple to successfully overturn insurance company's repeated denials of life-saving cancer treatment coverage, enabling timely access to crucial medication after previous appeals failed.
Oracle unveils MCP server enabling AI agents to autonomously query and reason over enterprise data in Oracle Databases, boosting productivity and data utilization across sectors like pharma, healthcare, and finance.
Rust dominates compute performance, outpacing Go and Python, while Python reigns in AI/ML and rapid prototyping, and Go excels in cloud-native tooling and microservices, with Rust commanding top salaries, Python offering abundant jobs, and steady Go demand for cloud and DevOps roles.
A $1 billion fund launches NextLadder Ventures to develop AI tools over 15 years, partnering with Anthropic, to aid frontline workers like public defenders, parole officers, and social workers in spurring economic mobility through grants and investments in nonprofits and for-profits.
Delta Air Lines embraces AI pricing, aiming for 20% of fares to be personalized by 2025, up from 3% currently, raising privacy concerns over potential price discrimination.
Researchers develop AI 'digital twins' using extensive medical data from over 13,000 participants to predict future health, detect diseases early, and simulate personalized treatments.
Artificial intelligence's soaring energy needs from data centers are straining power grids, prompting utilities to rapidly build new gas and nuclear plants while regulators grapple with questions over subsidies and generation pathways to meet AI's insatiable electricity appetite.