Yellowfin 9.4 Release
Check out the release highlights for the Yellowfin 9.4 release and see them in action.
Analytics
Data Visualization: Three Best Practices
Bring life to your data visualizations and dashboards to create compelling, crowd-pleasing presentations that your managers will love.
Improving Data Analytics: Three Essential Steps
Harnessing data to drive business decisions is a key competitive advantage. For next-generation data analytics, follow these three principles.
Top 10 AI & Data Podcasts You Should Be Listening To
With the speed of change in artificial intelligence (AI) and big data, podcasts are an excellent way to stay up-to-date on recent developments, new innovations, and gain exposure to experts’ personal opinions, regardless if they can be proven scientifically. Great examples of the thought-provoking topics that are perfect for a podcast’s longer-form, conversational format include the road to AGI, AI ethics and safety, and the technology’s overall impact on society.
Enabling The Full ML Lifecycle For Scaling AI Use Cases
When it comes to machine learning (ML) in the enterprise, there are many misconceptions about what it actually takes to effectively employ machine learning models and scale AI use cases. When many businesses start their journey into ML and AI, it’s common to place a lot of energy and focus on the coding and data science algorithms themselves.
How Data Robot Automates Artificial Intelligence | Part 1 | Snowflake Inc.
Dan Wright, President and COO of DataRobot, talks about how DataRobot is revolutionizing artificial intelligence by automating an end-to-end experience to market for consumer use. He discusses how DataRobot's new platforms unlock powerful applications of deep learning technology that help leverage open source technology and provide security to customers. Rise of the Data Cloud is brought to you by Snowflake.
Improving your Customer Centric Merchandising with Location based in-Store Merchandising
With any transformation in industry or marketplace, there are leaders and losers. The winners know the fundamental pillars that are hidden to some and evident to others that drive and enable success.
Spark APM - What is Spark Application Performance Management
Apache Spark is a fast and general-purpose engine for large-scale data processing. It’s most widely used to replace MapReduce for fast processing of data stored in Hadoop. Designed specifically for data science, Spark has evolved to support more use cases, including real-time stream event processing. Spark is also widely used in AI and machine learning applications.
Why You Need DataOps in Your Organization
DataOps is the hot new trend in IT, following on from the rapid rise of DevOps over the last decade. The growth of AI, machine learning, and move to cloud all contribute to the growing importance of DataOps. Kunal Agarwal, Unravel Data CEO will take you through the rise of DataOps and show you how to implement a data culture in your organization.
How businesses use automated monitoring
One of the big trends we’ve seen this year is organizations going direct to consumer. Manufacturers who sold through retail outlets are moving online, and as a result a huge amount of digital transformation is occurring. A customer of ours has done exactly that. Kyowa is a Japanese cosmetics and health food company and they’ve moved from retail to online and digital, and Yellowfin has been a significant part of that journey. In particular, they’ve used Signals.