AKOOL, a pioneering Generative AI platform, has partnered with AMD to leverage its advanced hardware and improve operational efficiency across various sectors. This technology enables businesses and creators to produce high-quality visual content using AI-driven tools such as face-swap, avatars, and translation. As a result, AKOOL empowers personalized and dynamic audience engagement on a global scale.
https://www.prnewswire.com/news-releases/akool-introduces-amd-advanced-technology-revolutionizing-digital-experiences-with-simplified-in-device-avatars-302341649.htmlBaidu's founder Robin Li predicts that artificial intelligence (AI) applications will experience an "exponential" growth in 2025. According to Li, Baidu's investments in AI are expected to generate returns this year, as the technology is being rapidly deployed across various industries and scenarios. This prediction comes after Baidu unveiled its own large language model (LLM), following OpenAI's release of ChatGPT.
https://www.scmp.com/tech/big-tech/article/3293178/baidu-founder-robin-li-predicts-exponential-boom-ai-apps-2025?module=top_story&pgtype=sectionMarketers who used generative AI to create ads, such as Toys R Us, Under Armour, and Coca-Cola, faced backlash from the public and creative community in 2024. Despite this, there is an expectation that marketers will continue to use generative AI in 2025, with many asking how it can be integrated into the creative process. Creative agency executives, including John Cornette of EP+Co., view generative AI as a tool to enhance their work, not replace humans. However, early iterations of ads created with generative AI were criticized for lacking authenticity and emotional connection, according to eight creatives and agency executives, including Eva Neveau of Omnicom Production.
https://digiday.com/marketing/why-early-gen-ai-ads-arent-working-and-how-creatives-are-thinking-about-integrating-the-tech-into-their-work/As clients increasingly demand that their partners bring artificial intelligence (AI) solutions to the table, some brands have faced backlash for using AI-generated content. In response, agencies are shifting their focus towards using AI to improve productivity and efficiency, while also personalizing content for consumers. This shift is expected to lead to a rise in AI-focused agency startups, as companies like R/GA and MachWon invest in developing strong tech capabilities and strategic partnerships. However, some experts predict that the trend may swing back towards human creativity, with brands opting for more authentic and transparent approaches to content creation.
https://www.adweek.com/agencies/the-big-get-bigger-indies-rise-and-ai-takes-root-3-agency-predictions-for-2025/Yeahka Limited, a Hong Kong-listed company, is leveraging AI technologies to enhance its existing business frameworks in response to the large model wave. The company's approach focuses on integrating large model capabilities into scenario-specific implementations, rather than competing with larger corporations or startups in underlying technology. Yeahka's strategy emphasizes localization and practical application of AI, rejecting copycat approaches that simply replicate solutions without understanding specific business scenarios and customer needs. This approach enables the company to address industry pain points more effectively and bridge the gap between technology and practical application.
https://www.malaymail.com/news/money/mediaoutreach/2025/01/02/study-from-yeahka-highlights-strategic-ai-adoption-by-mid-sized-companies-amidst-industry-boom/353292Alibaba has introduced its own large language model (LLM) focused on enterprise customers, unlike consumer-focused models like OpenAI's ChatGPT. The company's Qwen models have been deployed by over 90,000 enterprise customers since May. This move is part of a trend in China where tech giants such as Tencent, Baidu, JD.com, Huawei and ByteDance are developing their own LLMs. Experts believe this shift could democratize AI capabilities, allowing smaller startups to compete with massive tech companies and enabling traditional businesses to adopt state-of-the-art technology.
https://www.pymnts.com/artificial-intelligence-2/2024/alibaba-plans-major-discounts-on-ai-large-language-models/The financial industry is undergoing a digital transformation with the integration of artificial intelligence and authentication technologies. Companies such as Billtrust and Galileo Financial Technologies are leveraging AI to enhance security and efficiency in cross-border payments and real-time transactions. For instance, TerraPay's use of GenAI technology enables instant payment processing across borders. Meanwhile, Fiserv is working on Open Banking initiatives with Boost Payment Solutions to facilitate faster payments. However, this shift also raises concerns about identity verification and fraud prevention, prompting companies like Prove Identity to develop digital identity solutions.
https://www.pymnts.com/news/payments-innovation/2024/to-know-whats-next-in-payments-first-look-back/As companies increasingly adopt artificial intelligence (AI) technology, they will need to invest in expanding their physical data center space and capacity to store the vast amounts of data generated by AI systems. This is necessary to maximize returns on investments in AI and data infrastructure while also addressing financial, regulatory, and environmental considerations.
https://www.businesstelegraph.co.uk/why-2025-will-redefine-data-infrastructure-11-expert-insights-on-sovereign-clouds-exploding-data-paas-and-more/The oil and gas industry is expected to benefit from long-term advantages through digitalization initiatives, according to a report by GlobalData. The report highlights the adoption of technologies such as artificial intelligence, blockchain, cloud computing, IoT, robotics, and virtual and augmented reality by major companies like ADNOC, BP, Chevron, ExxonMobil, Shell, and TotalEnergies. These technologies are being used to solve business problems in the industry, with field personnel using handheld devices to collect data, make notes, and communicate with their teams.
https://www.lokmattimes.com/technology/oil-and-gas-industry-set-for-long-term-benefits-with-digitalisation-report-1/