By Chris Royles, EMEA Field CTO at Cloudera
As we enter 2024, the dynamic landscape of data is undergoing a metamorphosis, fueled by the groundbreaking strides made in Artificial Intelligence (AI) in the preceding year. The amalgamation of advanced AI algorithms, Large Language Models (LLMs), fortified data analytics capabilities, and substantial leaps in cloud computing has ushered in a new era where data stands as a tool and a driving force reshaping organisational operations and strategies.
Consolidation of the AI Market – A Historical Echo
Drawing parallels with the historical evolution of the cloud market, 2024 heralds the consolidation of the AI market. More significant, well-funded entities in AI, reminiscent of early cloud pioneers, are now dominating the scene, absorbing or outpacing smaller innovators. Notable investments, such as OpenAI’s substantial backing from Microsoft, empower these entities to swiftly replicate innovative ideas by adding new APIs. Regulatory interventions, particularly in the European Union, are also influencing the landscape, introducing stricter rules on high-risk AI that may impact the pace of innovation.
AI’s Leap from Lab to Production
As the AI market consolidates, the deployment of AI is poised for a transformative shift from experimental labs to full-scale production. This transition is anticipated to unlock new use cases across various industries. AI has already revolutionised research and drug discovery in life sciences, promising to double the number of new drugs available for testing. The true potential of AI will be fully realised as it permeates production processes across sectors, prompting organisations to prepare for this shift by identifying industry-specific use cases that can harness AI’s full capabilities.
Data Lakehouses Opening Their Doors
The advancement of AI into production is intricately linked with the evolution of data management. The data lakehouses concept began taking shape in 2023 and is set to demonstrate its true value in the coming months. These lakehouses will facilitate the effective data distribution between services, addressing a longstanding challenge. This evolution is pivotal for enabling real-world applications, such as point-in-time data snapshots for financial compliance. Organisations gaining greater control over their data will witness the increasing value of data lakehouses, streamlining data management and enhancing AI efficacy through structured and accessible data.
Redefining Data as a Product
Beyond data management evolution, 2024 marks a fundamental shift in how organisations perceive and handle data. Data is evolving from being a valuable asset to being treated as a product. This paradigm shift brings new roles like ‘data product owners,’ emphasising a product-centric ethos. Treating data as a product is crucial for achieving deeper insights, building a corpus of trusted data, and fostering global collaboration between teams. This strategic shift lays the foundation for trusted AI, leveraging reliable and insightful data.
Embracing the Future
The intertwining evolution of AI and data management emerges as a central industry theme for 2024. For organisations, adapting to these trends is beneficial and essential for maintaining competitiveness. As we journey through 2024, expect technological advancements and a paradigm shift in how data is integrated into business strategies. The future is intricately driven by data and enhanced by AI, urging organisations to embrace the impending data revolution.
