Artefact Value By Data

The 10 Habits of Highly Successful Data & AI Leaders in Government Entities

It’s no secret that leading a data and intelligence office in a government entity is a difficult job. This role faces numerous pressures, both internally (mainly around data availability, quality, and tech readiness) and externally (mainly compliance). While the data office is not the “owner” of the data, it usually acts as the “custodian” and is expected to facilitate information flow and value creation in the organization. In fact, ministers and leaders of government organizations ultimately measure the success of their data/ intelligence offices by the extent to which the right intelligence is available to the right decision-makers and stakeholders at the right time.

Why DE&I Policies Are More Essential Than Ever

Diversity, Equity, and Inclusion (DE&I) are not just buzzwords or isolated initiatives — they represent fundamental pillars for any organization striving to innovate, thrive, and connect genuinely with the world around it. In times of uncertainty and societal transformation, reaffirming a commitment to DE&I is a testament to courage, vision, and responsible leadership.

AI for Efficiency program : Transforming BNP Paribas Commercial Banking Through AI

In a context where technological innovation is redefining standards of performance and efficiency, BNP Paribas' "AI for Efficiency" program, developed in collaboration with Artefact, stands out as an ambitious model for transforming commercial banking through artificial intelligence. This project demonstrates how a structured, value-driven approach can not only optimize processes but also address the challenges of an ever-evolving industry.

Compound AI Systems: The Future of Specialized Intelligence

Since its explosive emergence in mid-2022, generative AI has quickly captured global attention. What initially centered on the language modality has since expanded into exciting new avenues, including image, audio, and video models. Early in 2023, speculation about the technology's potential impact on businesses across various industries grew, accompanied by exciting early adoption cases. As more developers began building solutions with these models, the general perception shifted toward the continuous emergence of newer, larger, and hopefully better versions of the most widely used models.

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