Data Quality stories - Page 19

A SolarWinds report shows only 43% of IT professionals believe their databases are AI-ready, with data quality and security concerns as major hurdles.

Retailers must tread cautiously with AI technology, where data quality and ethical use are critical for truly beneficial outcomes.

At Snowflake Data Cloud Summit 2024, SAS introduced SAS Data Maker on Snowflake Marketplace, a tool to generate precise synthetic data, enhancing prediction, planning, and innovation for businesses.

Crafting compelling AI business cases is crucial as AI reshapes industry. Leaders must benchmark, involve employees, focus on data quality, and consider ethical implications for success.

SAS has launched its SAS Data Maker as a Snowflake Native App, enhancing synthetic data generation for industries like healthcare and finance.

Fivetran launches Managed Data Lake Service, integrating over 500 data sources into major platforms like AWS and Azure, to simplify enterprise data management and boost AI initiatives.

Jason Hardy, Chief Technology Officer for AI at Hitachi Vantara, leverages over a decade of expertise to drive transformative AI projects and innovations.

Six years post-GDPR, many businesses still grapple with compliance. Andy Baillie of Semarchy proposes six MDM solutions to address ongoing data management challenges.

Informatica unveils new AI-powered data management integrations with Microsoft, enhancing Azure and Microsoft Fabric capabilities for enterprise data efficiency.

Informatica unveils GenAI integrations aiming to make AI-powered data management accessible for enterprises globally.

Dell Technologies expands its AI Factory with NVIDIA, launching new servers and services to accelerate AI innovation, including the high-density PowerEdge XE9680L.

AvePoint's VP, Max McNamara, details strategies employed by the global data management firm in navigating and shaping the digital landscape.

Rackspace Technology has achieved fresh Microsoft Azure specialisations in AI and Machine Learning, underscoring their industry leadership and enriching its eight-strong specialisation collection.

More than 50% of enterprises are investing in Generative AI to facilitate integration and automation, enhancing productivity and customer experience.

AI-powered retail personalisation is stepping up. Aiming for true one-to-one custom experiences, the industry leans into predictive AI, driven by robust data, to stay competitive.

Causal AI's ability to diagnose root causes of problems relies heavily on data quality, a factor centred on five pillars: accuracy, completeness, consistency, timeliness and relevancy.

New IBM research shows 42% of businesses have deployed AI, with success hinging on workforce trust and acceptance, according to Bartek Roszak, Head of AI at STX Next.

Companies with robust information management strategies are more likely to extract benefits from AI tech, according to a new report.

A Cloudera survey found 90% of IT leaders view a unified data platform as critical for AI and analytics, amid challenges of data quality and system integration.

Syniti CEO, Kevin Campbell, explains the firm's commitment to leveraging data for transformative business outcomes and their growth plans for ANZ region.