AUSTIN, TEXAS, USA, January 25, 2024 - Yellowfin, a leading global provider of business intelligence (BI) and data analytics software, is proud to celebrate 20 years of innovation in the business intelligence (BI) and data analytics industry. Founded in 2004 with a mission to make data accessible and actionable for everyone, Yellowfin has grown into a global force, empowering businesses of all sizes to unlock the power of data and gain a competitive edge.

This year may be the most innovative on record. Recent advances in AI are beginning to transform how we live and work. And the potential impacts of artificial intelligence (AI) on the healthcare and life sciences industries are expected to be far-reaching. It’s essential for organizations to leverage vast amounts of structured and unstructured data for effective generative AI (gen AI) solutions that deliver a clear return on investment.

January 28th is Data Privacy Day, an international effort to empower individuals and encourage businesses to respect privacy, safeguard personal data and enable trust. In fact, it so important that the National Cybersecurity Alliance has a focused program for a full week. Data privacy is not just a legal concern, it concerns everyone.

Learn how to integrate Striim with BigQuery ML for real-time data processing in machine learning.

Governments collect more data than any other type of entity on the planet, yet their ability to use data to serve citizens more effectively has always been limited. Regulatory compliance, budgetary constraints, reliance on legacy systems and internal resistance to change all play a role. That’s why when it comes to adopting new technologies, public agencies tend to lag behind the private sector by 18 to 24 months—and often longer.

Between soaring material costs and the impact of inflation, the construction industry has had to practice extra agility and resilience in recent years. Market upheaval, including skills shortages and supply chain disruptions have made financial reporting in the construction industry even more challenging. Manually exporting data into static spreadsheets adds another roadblock–when reports are manually exported or input, information grows stale quickly.

Many developers and enterprises looking to use machine learning (ML) to generate insights from data get bogged down by operational complexity. We have been making it easier and faster to build and manage ML models with Snowpark ML, the Python library and underlying infrastructure for end-to-end ML workflows in Snowflake.

How to use modular architecture and pre-built connectors to enable chatbots, code generation and more.

Learn how to create and measure the performance of clustered tables and materialized views using BigQuery.