Generative Artificial Intelligence is emerging as a disruptive tool in the business scenario, but many companies still do not know how to make the most of this technology. According to the report \u201cStartups & Generative Artificial Intelligence: Unlocking its potential in Brazil\u201d, conducted by Google and Box1824, 63% of AI startups in Brazil still do not have a clear strategy for the use of Generative AI, and 22% cannot quantify the results of its use.<\/p>\n\n\n\n
Mathias Brem, founding partner and CDO of Rox Partner, a technology consultancy specializing in data and cybersecurity, highlights how Generative AI can revolutionize data management.\u201cThis complement has propelled the corporate world towards a data-driven future, opening new frontiers for analysis and innovation on several\u201d fronts, he says.<\/p>\n\n\n\n
To help companies use Generative AI more effectively, Brem listed five high-impact changes that adoption can deliver:<\/p>\n\n\n\n
1. Synthetic Data Generation<\/strong> 2. Advanced Data Enrichment and Analysis<\/strong> 3. Automation of Repetitive Tasks<\/strong> 4. Development of Innovative Products and Services<\/strong> 5. Expansion of Knowledge and Expertise<\/strong> With these five strategies, the adoption of Generative AI can transform data management, driving innovation and competitiveness for companies.<\/p>","protected":false},"excerpt":{"rendered":" A Intelig\u00eancia Artificial Generativa est\u00e1 emergindo como uma ferramenta disruptiva no cen\u00e1rio empresarial, mas muitas empresas ainda n\u00e3o sabem como aproveitar ao m\u00e1ximo essa tecnologia. De acordo com o relat\u00f3rio […]<\/p>\n","protected":false},"author":1,"featured_media":812,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[32,31],"tags":[68,43,53],"class_list":["post-2038","post","type-post","status-publish","format-standard","has-post-thumbnail","category-dicas","category-noticias","tag-dicas","tag-e-commerce","tag-noticias"],"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/www.ecommerceupdate.com.br\/en_za\/wp-json\/wp\/v2\/posts\/2038","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.ecommerceupdate.com.br\/en_za\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.ecommerceupdate.com.br\/en_za\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.ecommerceupdate.com.br\/en_za\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.ecommerceupdate.com.br\/en_za\/wp-json\/wp\/v2\/comments?post=2038"}],"version-history":[{"count":0,"href":"https:\/\/www.ecommerceupdate.com.br\/en_za\/wp-json\/wp\/v2\/posts\/2038\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.ecommerceupdate.com.br\/en_za\/wp-json\/wp\/v2\/media\/812"}],"wp:attachment":[{"href":"https:\/\/www.ecommerceupdate.com.br\/en_za\/wp-json\/wp\/v2\/media?parent=2038"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.ecommerceupdate.com.br\/en_za\/wp-json\/wp\/v2\/categories?post=2038"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.ecommerceupdate.com.br\/en_za\/wp-json\/wp\/v2\/tags?post=2038"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}
Generative AI enables you to create realistic, high-quality synthetic data sets by augmenting data lakes with information that represents non-existent real-world scenarios. This is crucial for training more robust and accurate machine learning models, addressing the lack of real data and avoiding biases. \u201cSynthetic data can replicate complex situations such as fraud or extreme customer behaviors without relying on real data. This elevates the accuracy of the\u201d predictive models, notes Brem.<\/p>\n\n\n\n
AI can enrich existing data by generating detailed product descriptions, translating text, identifying relevant information from unstructured documents, and creating new attributes.This enables deeper analysis, revealing previously invisible insights and patterns. \u201cWith AI, we can transform raw data into rich, actionable information, enabling more strategic and informed DECISIONS\u201d, Brem said.<\/p>\n\n\n\n
The technology enables the automation of repetitive tasks such as data cleansing and anomaly detection, freeing up professionals to focus on strategic analysis and development of machine learning models, increasing operational efficiency.\u201c Routine process automation allows the data team to focus on higher value-added activities, which drives innovation and\u201d competitiveness, he says.<\/p>\n\n\n\n
AI can generate innovative ideas for products and services, assist in the research and development of tailored solutions, optimize designs and generate realistic prototypes, accelerating the development process.\u201cThe ability to generate new concepts and prototypes quickly accelerates the innovation cycle, keeping companies at the forefront of the\u201d market, Brem comments.<\/p>\n\n\n\n
AI can create tailored training materials and optimize learning across different roles and levels of knowledge. Chatbots, for example, can assist employees in repetitive tasks, freeing up time for strategic activities.\u201cCustomizing training through AI ensures employees get exactly the knowledge they need, improving efficiency and productivity\u201d, Brem concludes.<\/p>\n\n\n\n