Systems | Development | Analytics | API | Testing

Greek philosopher Heraclitus wasn’t talking about the challenge of today’s enterprise IT landscape but the quote certainly fits. From the advent of the first digital computer in the 1940s to the emergence of first public cloud in 2004, the rate of change has only accelerated. In fact, over 60% of corporate data resides in the cloud in 2022, up from 50% last year.

Key stakeholders don’t have time to read your reports? Impress them with executive summaries instead. Here’s everything you need to know.

Machine learning is a practice that is evolving and developing every day. Newfound technologies, inventions and methodologies are being introduced to the community on a daily basis. As ML professionals, we can enrich our knowledge and become better at what we do by constantly learning from each other. But with so many resources out there, it might be overwhelming to choose which ones to stay up-to-date on. So where is the best place to start?

We are delighted to share that Iguazio has been named along with Microsoft, Databricks, Cloudera, Alteryx and others in Now Tech: AI/ML Platforms, Q1 2022, Forrester’s Overview of the Leading AI/ML Platform Providers, by Mike Gualtieri. This report by Forrester Research looks at AI/ML Platform providers, to help technology executives evaluate and select one based on functionality aligned with their needs.

All product designers, builders and owners strive to create true ‘ah-ha!’ moments in the products they create. But how do you do so in an era of incremental innovation? GM of Design & Digital at Yellowfin, Tony Prysten, shares his experiences.

Organizations today have access to a wide stream of data. Data is generated from recommendation engines, page clicks, internet searches, product orders, and more. It is necessary to have an infrastructure that would enable you to stream your data as it gets generated and carry out analytics on the go. To aid this objective, incorporating a data pipeline for moving data from Apache Kafka to BigQuery is a step in the right direction.

AUR stands for average unit retail. It gives you the average selling price of a product in a given time period. An important e-commerce metric, AUR is typically calculated quarterly. But why is it important? And how can you use AUR-in retail to boost your e-commerce business? Let’s take a look at this important business metric and how Integrate.io's data integration solution can help you bring all your e-commerce data and statistics together.

Here are the 24 free sales and marketing tools that marketers and salespeople in the Databox community are using to fill gaps in their processes.

BigQuery already offers highly flexible pricing models, such as the on-demand and flat-rate pricing for running queries, to meet the diverse needs of our users. Today, we’re excited to make it even easier for you to optimize BigQuery usage with new BigQuery slot recommendations powered by Active Assist, a part of Google Cloud’s AIOps solution that uses data, intelligence, and machine learning to reduce cloud complexity and administrative toil.