Executives across various industries are under pressure to reach insights and make decisions quickly. This is driving the importance of streaming data and analytics, which play a crucial role in making better-informed decisions that likely lead to faster, better outcomes.
Initiative involves development of AI frameworks to expedite time to market and reduce the complexity of building and deploying infrastructure for generative AI.
Welcome back to Yellowfin Japan’s ‘How to?’ blog series! In our previous blog, we went through how to create big number and vertical column charts in Yellowfin, and the many different charting options available in Yellowfin Canvas. Before we re-visit our regular series, we want to share a shorter dashboard walkthrough.
Think back just a few years ago when most enterprises were either planning or just getting started on their cloud journeys. The pandemic hit and, virtually overnight, the need to radically change ways of working pushed those cloud journeys into overdrive. Cost-effective adaptability was essential. And the companies that could scale up or scale down quickly were the ones that navigated the pandemic successfully. Migrating to the cloud made that possible.
The editorial team of Hitachi Vantara sat down for an interview with our Chief Product Officer, Octavian Tanase, to learn about his vision and strategy for AI in the enterprise.
Microsoft recently introduced a comprehensive analytics solution for its enterprise customers, Microsoft Fabric. The solution offers data movement, data science, real-time analytics, and business intelligence within a single platform. Microsoft Fabric offers a unified platform for data engineering, science, and analytics, integrating data from Power BI, Azure Synapse, and Azure Data Factory, and using open storage for accessibility and portability.