Cerebras continues to break records
Cerebras continues to set new benchmarks and lead the field in AI performance, advancing by unprecedented factors. The below chart says it all (source: Cerebras). Remember the IPO announcement?
Charting a path to the data- and AI-driven enterprise of 2030, McKinsey & Company
According to McKinsey, by 2030, data will be ubiquitous, readily available to all employees, and integrated into systems, processes, channels, interactions, and decision-making. However, many companies are still struggling to understand the capabilities and types of data needed to achieve better outcomes. To succeed, data leaders need to make data easy to use, easy to track, and easy to trust.
One challenge is that all enterprises use the same tools and resources, which does not create any competitive advantage. The true value lies in how these tools are assembled and the use of proprietary data. McKinsey recommends that leaders take three key actions: i) tailor models using proprietary data; ii) unify data, AI, and systems; iii) invest further in high-value data products.
Data architecture is crucial, with three primary approaches: a) centralized, b) decentralized, and c) federated, which may utilize a data mesh. No approach seems perfect, and each comes with specific challenges.
In many companies, challenges with data management often arise from unclear responsibilities, limited skill sets, and disjointed governance. McKinsey suggests identifying a leader who can concentrate on three key areas: i) governance and compliance; ii) engineering and architecture; iii) delivering business value. That’s usually a very complicated profile to find.
McKinsey concludes on the talent needed by 2030 and emphasizes the importance of managing the transition. It also highlights the necessity of addressing the risks and governance related to data and AI.
Other readings
> How software built Nvidia’s $2.97T hardware empire, read
> Lawsuit claims Character.AI is responsible for teen’s suicide, read
> Time to place our bets: Europe’s AI opportunity, read
Digital Transformation of Asset Managers and Wealth Managers 