The Digital Business Impact of AI Everywhere

Neste painel de discussão, exploraremos as tendências emergentes e as oportunidades no domínio da inteligência empresarial, focando em três pilares essenciais: inteligência artificial (IA), dados e automação de processos. Discutiremos como a integração destes elementos pode transformar as empresas, aumentar a sua competitividade e superar desafios de implementação. Abordaremos também a importância da conjugação de dados e IA, como parte dos processos para incorporar essas potencialidades na realidade do negócio.

One of the main responsibilities of a CISO is to ensure and nurture a verifiable trust system among the multiple stakeholders beyond cyber governance, cyber resilience, and cyber security. Strictly based on facts and metrics and never on wishes! A seasoned CISO must know that simple perceived trust can be naïve and dangerously deceiving! As Mark Twain brilliantly said, “It ain’t what you don’t know that gets you into trouble. It’s what you know for sure that just ain’t so!” In this short talk, we will dwell on the basic principles that a CISO must follow to ensure a more rational and verifiable trust system within the ecosystem of his responsibility, covering Governance, Prevention, Protection, Fast Detection and Counter Response, and, finally, Recovery.

Intelligent automation in business refers to the use of automation technologies, including artificial intelligence (AI), business process management (BPM), and robotic process automation (RPA), to streamline and scale decision-making across organizations. It involves applying advanced machine learning and AI to automate repetitive manual tasks, both in customer-facing and internal operations. By combining AI and RPA, intelligent automation accelerates digital transformation and improves business process efficiency

“Half of European employees believe AI will enhance their work experience, while the rest remain uncertain (IDC FoW Employee Experience Survey 2024). The AI revolution is unlike anything we've seen before, giving everyone the chance to automate or enhance basic tasks. This is changing the skills needed in the job market and paving the way for new use cases. However, a net new approach from workers and decision makers about AI cannot be neglected.

To responsibly expand this technology and improve work for all, businesses must adapt. This means creating a vision to reinvent work models, reshape workspaces, and prepare workers for an AI-driven future.” 

No documento "IDC FutureScape: Worldwide Digital Business Strategies 2024 Predictions", a IDC coloca várias predictions do top 10 relacionadas com a utilização de AI. De facto, o primeiro driver externo das previsões da IDC é “AI everywhere — Generative AI takes the spotlight.”

Entre as várias previsões incluem-se o uso de AI para co-desenvolver produtos digitais, a necessidade de introduzir o papel de “chief AI officer” face à proliferação do uso de AI, o investimento crescente na adoção de AI por DNB (digital native businesses) que “empurra” também o investimento dos non-DNB e, finalmente, o impacto nos processos de negócio “afetados” pela AI e as implicações nas competências e formação dos colaboradores.

Neste painel vamos debater quais destas previsões estão realmente a tornar-se realidade em empresas líderes portuguesas, casos reais de adoção de AI, quais os desafios sentidos nesta jornada e que tipo de soluções encontraram para os ultrapassar.