Data Quality stories - Page 23

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.

As artificial intelligence evolves, organisations increasingly seek to integrate AI solutions directly with their data sources, prioritising privacy and control.

In the aftermath of the UK's General Election, experts urge the new government to prioritise AI and process intelligence to streamline businesses and enhance productivity.

A new State of Source-to-Pay Digitization report reveals procurement leaders prioritising data and AI for future innovations.

A new report by Vultr reveals 72% of enterprises are advancing in AI adoption, correlating AI maturity with enhanced business performance across sectors.

Generative AI to dominate enterprise decision-making by 2025, Stratio BD's survey reveals, but accuracy and security concerns stall full-scale implementation.

Businesses globally are rapidly adopting Gen-AI for decision-making, yet concerns around accuracy and security persist, a Stratio BD study reveals.

Gaurav Pathak, who played a pivotal role in the AI tool's development, has described CLAIRE GPT as an enterprise-focused alternative to Chat GPT.

Intercom partners with Fivetran to upgrade its data infrastructure, resolving prior issues with data loss and quality, aiming to enhance decision-making.

Conjointly and Cint have partnered to enhance survey data quality and reduce fraud through a new server-to-server integration, promising reliable insights.

Databricks unveils major upgrades to Mosaic AI platform, aiding companies in building robust Generative AI systems while enhancing model quality and governance.

Databricks launches LakeFlow to streamline data engineering with scalable connectors, real-time processing, and automated data pipelines, aiming to democratise data and AI.

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.