Revolution in the data world: Actian presents AI-supported observability!

Revolution in the data world: Actian presents AI-supported observability!

Actian, a division of HCLSoftware, recently Actian Data Observability introduced a solution that uses artificial intelligence (AI) and machine learning to monitor data quality and detect anomalies. This is done with the aim of helping companies accelerate their AI initiatives, increase the pace of innovation and minimize potential risks. At a time when traditional data quality approaches are often no longer sufficient to keep pace with the growing complexity of the data landscape, this new solution is an important step. Gartner estimates that by 2026, approximately 50% of organizations using distributed data architectures will rely on such data observation tools.

Actian Data Observability provides continuous monitoring of the entire data ecosystem, defining and operating thousands of data quality rules simultaneously. The monitoring dimensions are diverse and include aspects such as data freshness, volume, schema drift, distribution patterns and customized business rules. ML-driven anomaly detection automatically identifies outliers and deviations, helping to improve data integrity.

Data integrity as the key to AI

According to a recent report by Precisely Data integrity is critical to the success of AI initiatives. Over 67% of respondents reported limited confidence in the data, a significant increase compared to last year. The main reasons for this are the increasing complexity of the data ecosystem and the challenge of effectively managing both on-premises and cloud data.

Although 60% of organizations see AI as a key component of their data programs, only 12% report that their data is well prepared for AI initiatives. A lack of skilled talent is identified as a key stumbling block to implementing AI, and 60% of respondents agree with this. Detailed data preparation steps include identifying critical data sets and planning for data quality and governance.

Recommendations for the future

The top data integrity challenges, according to survey respondents, are data quality (64%) and data governance (51%). To address these challenges, experts recommend a proactive approach to providing trusted data, leveraging AI to improve governance, and a clear focus on metadata management. Additionally, data-driven decision making is a key goal for 76% of organizations.

The new Actian Data Observability, which will be available globally in June 2025 and will become part of the Actian Data Intelligence Platform in fall 2025, could make a significant contribution to helping companies overcome the above challenges and provide AI-enabled data. With its open architecture, it can be seamlessly integrated into cloud data warehouses, data lakes and streaming platforms.