Localisation of Gen AI in EU

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The European Union (EU) is rife with complicated data protection laws like GDPR (General Data Protection Regulation) and have made it extremely difficult for ChatGPT, which is built on internet data, to operate smoothly in the region. In May this year, members of European Parliaments (MEPs) adopted a draft that included bans on biometric surveillance, emotion recognition, and predictive policing AI systems. Amid this tug-of-war between OpenAI and the EU, Europe-based AI companies are building generative AI platforms complying with the EU’s data regulations.  In June, France-based Mistral AI raised $100 million led by Lightspeed Ventures. This announcement shocked many because the company was able to raise this massive funding without having released a single product. The highlight of Mistral AI was its three co-founders. Arthur Mensch was the lead contributor to the Retro, Flamingo, and Chinchilla projects, gaining valuable experience in optimising large language models. Guillaume Lample led the development of LLaMA along with Timothée Lacroix.  Another famous startup in the EU is Aleph Alpha, founded by Jonas Andrulis, a former member of the AI team at Apple. Notably, the startup already sells generative AI as a service to 10,000+ paying customers across companies and governments.  Many Europeans firmly believe in the necessity for a strong contender to challenge America's prevailing influence, and this sentiment extends beyond economic considerations. Within the local AI community, a prevailing argument suggests that European companies may inherently prioritise data privacy and anti-discrimination measures more than their counterparts in the United States. Read the full story here. Scrum is Dead Scrum has witnessed a notable decline in popularity in recent years, leading to a growing aversion among engineers who have experienced the framework's inefficiencies. The rigid structure, characterised by short intensive sprints and lengthy post-sprint meetings stands as the primary cause of its waning favour within the community. Scrum's applicability is restricted to specific project types, giving rise to the emergence of various Agile methodologies like Kanban, Extreme Programming (XP), and Lean Methodology. Alternative Agile methodologies such as Kanban, with its continuous flow and adaptability, and Extreme Programming, emphasising engineering practices, and offer viable alternatives. Feature-Driven Development (FDD) specialises in well-defined feature-focused projects. Despite Scrum's enduring popularity, a shifting landscape suggests potential changes, with some organisations exploring Agile practices within teams or adopting alternative models. Read the full story here. GPT for Banks BUSINESSNEXT, a hyper SaaS and composable enterprise platform specialising in global banking and financial services, is preparing to unveil GPTNEXT, a product tailored for customer relationship managers, building upon the GPT-3.5 API. While actively collaborating with leading banks, like HDFC, BUSINESSNEXT is poised to provide generative AI applications. The platform is capitalising on its expertise in data handling and regulatory compliance to train GPTNEXT. Their future plans involve developing GPT bots trained on banking-specific data and expanding GPTNEXT's applications in customer support and marketing. Despite the presence of ChatGPT Enterprise, BUSINESSNEXT remains steadfast in its commitment to revolutionise banking through autonomous solutions. Read the full story here. Indian AI Needs Govt Support Recently, the UAE introduced an open-source Arabic language model called Jais, boasting a substantial 13 billion parameters. Built on a vast repository of Arabic and English-language data, this launch positions the UAE as a significant player in the global AI arena. China has also made a strategic move in the tightly regulated AI market by unveiling AI chatbots from five prominent tech firms: Baidu, SenseTime Group, Baichun Intelligent Technology, Zhipu AI, and MiniMaz.  Amid this global AI race, India currently ranks eighth in private investments in AI. While the government has proposed establishing AI centres of excellence in top educational institutions, there's been no budget allocated for AI development. India needs to incentivize private AI investments through tax benefits, akin to exemptions for startups. With an abundance of AI skills, the country must foster government-private collaborations for accelerated growth and not miss out on the AI revolution, similar to past tech opportunities.  Read the full story here. TAUSIF ALAM & AMIT RAJA NAIK Friday, Sep 1, 2023 | Was this email forwarded to you? Sign up here DOWNLOAD OUR MOBILE APP Stay Connected info@analyticsindiamag.com © 2023 Analytics India Magazine

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