Organize data and ensure compliance to successfully adopt AI, capitalizing on opportunities and minimizing risks
By 2024, 65% of organizations will begin using generative AI regularly, nearly double the previous year, according to the global survey “The State of AI in Early 2024: Gen AI Adoption Improves and Starts to Deliver Value ”, produced by McKinsey.
Global adoption of AI has risen to 72%, with an emphasis on professional services and businesses reporting significant benefits such as reduced costs and increased revenues. The use of AI now spans multiple business functions, particularly marketing, sales and product development. Despite the benefits, risks such as uncertainty in accuracy and intellectual property infringement are highlighted. And in Latin America, including Brazil, AI adoption is lower, with 58% of companies adopting this technology.
What are companies missing to effectively embrace the use of Artificial Intelligence solutions in their routines?
“Coming out of the hype of generative AI, what we see are companies still struggling to implement new technology, facing cost and data management hurdles that cause many of their generative AI projects to remain stuck in the pilot phase and do not go into production business,” says Cezar Taurion, founder of Redcore, former director of New Applied Technologies and Chief Evangelist at IBM Brazil and who has written and shared content on artificial intelligence.
According to him, companies remain optimistic about the productivity gains promised by generative AI. “But reaching the technology’s potential will take longer and cost more than many initially expected. You see, it’s not just about writing tips…”
Check out more expert tips for enabling AI in businesses:
• Compliance: Ensure compliance with standards such as LGPD and industry-specific regulations.
• Data quality: organize data so that it can be used correctly by artificial intelligence systems, ensuring consistency and uniform format.
• Security and privacy: Implement measures to protect data and ensure privacy.
• Digital maturity assessment: Analyze the company’s digital maturity before implementing artificial intelligence.
• Clear strategy: Identify the right opportunities and reimagine business models without compromising safety and ethics.
• Leadership commitment: Executives must actively lead and support AI initiatives.
• Reorganization of the workforce: Adapt operational models and train staff to work with artificial intelligence.
• Government: Establish robust governance to manage risks and ensure the integrity of AI operations.
Alexandre Gonçalves is a journalist, founder of agentINFORM – digital content and products, and has edited the newsletter since March 2023GPT agent
where he shares insights and his ChatGPT user experience.
Source: Terra
Rose James is a Gossipify movie and series reviewer known for her in-depth analysis and unique perspective on the latest releases. With a background in film studies, she provides engaging and informative reviews, and keeps readers up to date with industry trends and emerging talents.
