Data Quality stories - Page 1

Businesses are racing to adopt Generative AI, promising efficiency and competitive edge, but grappling with risks such as inaccuracy and cybersecurity.

Precisely’s innovative solutions in data integrity have driven substantial growth, transforming customer experiences for 12,000 enterprises worldwide.

Quest Software's new erwin Data Intelligence and Modeler solutions aim to enhance data quality and governance, essential for AI-readiness in enterprises.

New Zealand businesses are rapidly embracing AI, with 67% now utilising the technology, up from 48% in 2023, according to Datacom’s latest research.

Denodo’s data management platform boosts Shimizu Corporation’s operational efficiency, slashes project lead times, and saves on vendor costs post-proving phase.

Rubrik unveils Salesforce Data Protection, enhancing backup and recovery on the Salesforce Core Platform. The solution promises robust data security, rapid recovery, and reduced operational costs, aligning with Gartner's projection of increased SaaS backup prioritisation.

AI is revolutionising enterprise productivity by automating tasks and enabling innovation, but success hinges on effective data management, workforce readiness, and ethical deployment.

Astrikos.ai teams with UP 112 to upgrade emergency response in Uttar Pradesh using AI, aiming to boost efficiency, crime prediction, and resource deployment.

Cloudera unveiled significant metadata management updates at the EVOLVE 24 APAC conference in Singapore, enhancing data security and governance to meet rising demands.

Australia’s Senate inquiry highlights the urgent need for responsible AI, focusing on data integrity and privacy amid growing concerns of AI overtaking jobs.

A joint report by Survicate and Amplitude shows 65.2% of product professionals using AI in research, despite 39.7% concerned over data quality.

Salesforce's latest report reveals rising challenges for sales teams, with 66% of professionals in Singapore finding it harder to meet customer expectations.

As the EU AI Act takes effect, UK firms must quickly adapt to comply with new regulations, affecting sectors from technology to finance.

At least 30% of generative AI (GenAI) projects will be abandoned after proof of concept by the end of 2025, due to poor data quality, inadequate risk controls.

Semarchy partners with Microsoft Purview to enhance data integration, governance, and accessibility, aiming to turn fragmented data into strategic assets for businesses.

A staggering 95% of UK and US firms struggle with data issues, as revealed by esynergy, with ineffective governance undermining business operations and decision-making.

Asia Pacific firms leveraging AI must prioritise data management to mitigate risks, ensure compliance, and achieve long-term success in AI initiatives.

Almost 25% of UK firms have adopted Generative AI in procurement, cutting manual tasks by 44%, reveals Ivalua research. Future efficiency gains are projected.

Andrew Gunnis, Co-Founder of GPTStrategic, explains the significance of AI Appreciation Day, highlighting both the opportunities and obstacles in AI development.

Generative AI isn't just jargon—it's revolutionising IT. Explore its strategic value, cross-functional implementation, and trust-building transparency.