Companies

How do companies approach AI?

Companies are adopting AI to enhance efficiency and innovation. IBM and TeamViewer reveal that AI is perceived as an essential lever for productivity, while initiatives like Devoteam's provide a clear mapping of AI technologies to adopt.

AI strategies and investments of companies

Investments in AI vary, ranging from start-up fundraisings like Seedext to strategic partnerships with giants like AWS. Accenture is heavily investing in learning platforms to accelerate AI adoption within companies.

Partnerships and business ecosystem

Collaborations are essential. OpenAI is expanding its global presence with new offices, while Europ Assistance collaborates with Tata Consultancy Services to transform its IT operations. Hugging Face and Google Cloud are developing strategic partnerships to innovate.

AI recruitment and skills

Recruitment focuses on skills in AI and data science. Companies are looking for profiles capable of managing complex AI projects, as illustrated by the training initiatives of Devoteam and Accenture.

Organizational and cultural challenges

The adoption of AI presents cultural challenges, with companies like IBM highlighting the gap between intentions and actions. BCG's report indicates that innovation struggles to materialize despite its stated priority.

Performance measurement and ROI

Companies measure AI ROI through key performance indicators, such as productivity improvement and innovation, as demonstrated by studies from TeamViewer and IBM.

Best practices and methodologies

Best practices include using regulatory frameworks to facilitate AI, as shown in the article on AI and data. Devoteam offers methodologies to adopt AI technologies securely.

Governance and risk management

AI governance is crucial for managing risks, with companies implementing strategies to ensure the security and efficiency of their AI systems, as illustrated by AI Act initiatives.