The lack of dedicated CS datasets limits ASR performance, as most models rely on monolingual or mixed-language corpora that fail to reflect real-world CS patterns. This issue is critical in multilingual societies where CS occurs in informal and formal settings. A key example is Catalan-Spanish CS, widely used in media and parliamentary speeches. In this work, we improve ASR for Catalan-Spanish CS by exploring three strategies: (1) generating synthetic CS data, (2) concatenating monolingual audio, and (3) leveraging real CS data with language tokens. We extract CS data from Catalan speech corpora and fine-tune OpenAI's Whisper models, making them available on Hugging Face. Results show that combining a modest amount of synthetic CS data with the dominant language token yields the best transcription performance.

As part of ongoing efforts to diversify their economies and build a platform for sustainable future growth, MENA nations are increasingly turning towards artificial intelligence (AI). A slew of recent investment and initiatives – primarily in academia and the government, but also in the private sector – has reinvigorated interest from industry leaders around the globe in the potential for AI to strengthen the efficiency and sustainability of MENA economies. According to a report from the Economist Impact Unit (EIU) and Google published earlier this year, AI could bring about an additional $320bn in economic growth in the MENA region by 2030. Many long-term economic strategies in the region target high-value sectors with the potential to benefit from the Fourth Industrial Revolution – a raft of technological advancements in AI, data and cloud computing that merge the physical, digital and biological worlds. In recent years the UAE, Saudi Arabia, Qatar and Egypt have published ambitious, government-driven strategies to develop AI.

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The Market Research and insight industry will disappear by the way we known it well! That's what people say is!. By the implementation of artificial intelligence and machine learning and the automatons and also types of robotics changes the approach for the industries domains. The cloudy outlook to the innovations in market research is always due to how we define innovative in the market research, some point of view links and define the innovative as it is technology or technique related to the use of tools. In order to score good in innovation degree you have to score to founding innovation in people, storytelling, process, co-creation.

With successful adoption of AntWorks' IAP solution, businesses will stand to save millions and realise increased performance and efficiency by automating and processing business data, including unstructured data, which will make up 80% of the world's data by 2025. The partnership will help the GCC become a blueprint for the AI economy in the rest of the Middle East, Turkey and Africa, especially as governments look to diversify and drive revenue from non-oil and gas sectors. "We are deeply honored to partner with The Private Office of Sheikh Saeed bin Ahmed Al Maktoum and SEED Group expanding our reach into the Middle East," said Asheesh Mehra, AntWorks Co-Founder and Group CEO. "We see our partnership with SEED Group as an incredible opportunity to bring AntWorks' leading expertise in artificial intelligence to the GCC - helping the UAE's Ministry of AI realise its 2031 Artificial Intelligence Strategy. This is a market that thrives on innovation and has taken some of the most ambitious steps in the world in adopting the use of AI across government and business as they seek to create new economic, social, and educational opportunities for citizens. We look forward to a powerful and productive relationship that will make straight-through processing a reality across the GCC."

Through established partnerships and collaborations, the UAE Artificial Intelligence Network seeks to bring together governments, private entities, international organisations, start-ups, research centres, academic institutions, business incubators and accelerators under one roof to discuss and exchange expertise in the field of AI, and identify challenges and roadblocks that affect the adoption of AI, and how to solve them. The UAE Artificial Intelligence Network offers its members the opportunity to participate in various local and international events, including the annual AI Conferences organised by the UAE National Programme for AI, as well as AI-focused seminars, conferences, workshops, meetings and sessions. Members also benefit by networking with AI experts, working closely with AI pioneers and decision makers, as well as the opportunity to contribute with recommendations to the UAE Council for Artificial Intelligence.

"I am very interested in what is happening in Latin America and I think (in) Brazil there is an awful lot of quite smart investment," he added, noting that he thinks Europe is being a bit slow. The latest research report titled "Artificial Intelligence in Retail Market" published by Industry Research expects AI in the retail market to grow globally at a compound annual growth rate (CAGR) of over 35 percent from 2019 to 2024. The report also notes that the growing trend of rising technology adoption in the industry can be associated with the need for streamlining retail operations, minimising efforts, and increasing revenue mostly for e-commerce retailers. The application of artificial intelligence (AI), big data and analytics will enable businesses with a data-driven model by expanding the types of data that can be analysed and raise the level of sophistication of the resulting insight, according to the report. Owen Farrow, Leader Consumer Industry at IBM Middle East told Zawya on the sidelines of the event that the UAE particularly is becoming a more common place to talk to people about AI and stands out for leading with experience.

"I am very interested in what is happening in Latin America and I think (in) Brazil there is an awful lot of quite smart investment," he added, noting that he thinks Europe is being a bit slow. The latest research report titled "Artificial Intelligence in Retail Market" published by Industry Research expects AI in the retail market to grow globally at a compound annual growth rate (CAGR) of over 35 percent from 2019 to 2024. The report also notes that the growing trend of rising technology adoption in the industry can be associated with the need for streamlining retail operations, minimising efforts, and increasing revenue mostly for e-commerce retailers. The application of artificial intelligence (AI), big data and analytics will enable businesses with a data-driven model by expanding the types of data that can be analysed and raise the level of sophistication of the resulting insight, according to the report. Owen Farrow, Leader Consumer Industry at IBM Middle East told Zawya on the sidelines of the event that the UAE particularly is becoming a more common place to talk to people about AI and stands out for leading with experience.

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The new TLM Cash and Liquidity Management, AI and machine learning module is an important development for any financial institution with a treasury department, with its ability to predict when credit is going to arrive; giving the treasurer more control over cash-flows. The proprietary algorithm uses the data and predicts the forecasted settlement time of receipts on an intraday basis. The core of the module is underpinned by sophisticated machine learning technology that continuously improves, meaning the predictions become more accurate and treasurers can make more informed decisions. Nadeem Shamim, Head of Cash & Liquidity Management, SmartStream, says: "Things are going to get tighter in terms of managing liquidity. Collateral is expensive, capital is expensive and there is currently a big drive to reduce excessive use of capital – this is an area where AI and predictive analytics can manage liquidity buffers more efficiently and that can result in significant savings".