Huawei Cloud DataArts: Unlocking the value of enterprise data has always been at the heart of digital transformation strategies. With disruptors like generative AI redefining the rules of competition, many businesses in Kenya and around the world now face both new opportunities and challenges in making data truly work for them.
Huawei Cloud DataArts positions itself as the platform that bridges this gap, unifying data and AI into a single intelligent ecosystem.
According to McKinsey, data-driven companies are 23x more likely to acquire customers, and 19x more likely to be profitable. However, unlocking the value of data is not easy. Huawei’s Intelligent World 2030 report also notes that the data volume generated worldwide will grow to over 1,000 ZB in 2030, and more than 80% of that is unstructured data.
It further adds that over 80% of enterprise data is “in the dark”, in the sense that it’s inaccessible and not being used to drive business decisions or to improve customer experience or operational efficiency.
Barriers to data intelligence
Many enterprises aiming to become truly data-intelligent encounter four recurring obstacles. First is Data Silos: Information remains scattered across departments, forcing teams to replicate data for AI training. This preparation phase consumes more than 50% of the large model training cycle, slowing innovation.
The second obstacle is Data Quality. As the saying goes, “garbage in, garbage out.” High-quality data directly impacts AI model accuracy, training efficiency, and generalization performance. Poor governance erodes outcomes.
Thirdly is Fragmented Workflows. Data engineers and model engineers often operate in isolation, with no unified platform for collaboration. This separation drives inefficiencies in preparing data for AI. Lastly is Security & Compliance. With rising concerns around GDPR, HIPAA, and local data laws, sensitive personal or financial data must be anonymized, encrypted, and tracked with lineage to maintain trust and avoid penalties.
These challenges highlighted above demand more than just another governance tool; they require an integrated data, AI convergence platform.
Huawei Cloud DataArts Goal: Data–AI Convergence
Based on the above, it is clear that data and AI have become the core forces that drive social progress and enterprise business growth. However, their applications have long been confined to a few professionals and large enterprises. Huawei Cloud’s goal is to democratize data and AI – making it easier, cheaper, and more inclusive for businesses of all sizes. DataArts is the cornerstone of this strategy.
This approach removes the barriers of complexity and cost, ensuring that data and AI can be harnessed by a much broader range of organizations and even SMEs (Video).
Complex technologies and high costs of use are no longer allowed to prevent people from accessing and using the latest technologies of data and AI. On the other hand, it also means promoting fair competition and providing more equal opportunities for SMEs and individual participants.
For the “Data for AI” side, Huawei Cloud provides a one-stop unified data management platform that can easily consolidate, clean, and store all types of data, helping customers eliminate silos and reduce data duplication. Huawei Cloud also helps enterprise generate and manage high-quality data. Based on the data, they can extract insights and make reliable decisions. Besides, AI model training and evaluation also require high-quality data sets.
On the “AI for Data”, Huawei Cloud integrates AI capabilities into full-stack data products. It helps enterprises transform from “data-driven” to “knowledge-based”. Through its integration with ModelArts, AI capabilities enhance data preparation, automate governance, and accelerate training processes. The result is a transformation of raw data into predictive, contextual, and actionable knowledge.
New GenAI features extend this transformation into the business intelligence domain, with tools such as DataArts Insight allowing users to query systems through natural language, effectively breaking down the barrier between complex data operations and everyday business decision-making.
Why Huawei Cloud DataArts stands out
Unlike point solutions such as Collibra (governance-focused) or Microsoft Purview (Azure-centric), Huawei Cloud DataArts is holistic.
Huawei delivers an integrated platform that manages, governs, and enriches data while preparing it for AI. Its unified storage layer, based on Object Storage Service with LakeFormation metadata, supports all data types. Its lakehouse architecture powered by DataArts Fabric provides serverless compute for analytics, science, and AI workloads. And its seamless integration with ModelArts ensures that AI development is not an afterthought but part of the same environment as data management.
Security and compliance also run through the core of the platform. Features such as encryption, anonymization, watermarking, and lineage tracking provide enterprises with confidence that their data is protected and that regulations are being respected. This governance-first design acknowledges that while data is a powerful enabler, it is also a liability if not handled with care.
In the era of large AI models, the convergence of data lakes, warehouses, and AI pipelines will define the next generation of enterprise platforms. Huawei Cloud DataArts embodies this convergence, not as a collection of tools stitched together, but as a unified intelligence layer designed from the ground up to unlock business value. For organizations seeking not just to manage data but to unleash it, DataArts offers a compelling pathway into the future.
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