As machine learning continues to address common use cases it is crucial to consider what it takes to operationalize your data into a practical, maintainable solution. This is particularly important in order to predict customer behavior more accurately, make more relevant product recommendations, personalize a treatment, or improve the accuracy of research.
Data lakes: smooth sailing or choppy waters? In May, Talend announced its support for Databricks’ open source Delta Lake, “a storage layer that sits on top of data lakes to ensure reliable data sources for machine learning and other data science-driven pursuits.” What does this mean for your company, and is Delta Lake right for you?
Data in organizations has become a significant risk issue. In recent years, new risks have emerged that have led many organizations to centralize their data and seek out new ways to mitigate their data risks through tighter data governance. Regulatory change, like the General Data Protection Regulation (GDPR) in Europe and the California Consumer Privacy Act (CCPA) in the US, have focused on data privacy.
May 25, 2019 marked the one-year anniversary of the European Union’s (EU) General Data Protection Regulation (GDPR) coming into full effect. This milestone serves as a timely reminder for any business in the EU or doing business with EU residents on both the implications of failing to protect data and the procedures needed to prevent this from happening.
For the 8.0.2 release, the team at Yellowfin have been focussed on increasing overall performance across our products and implemented some of the most requested customer enhancements to improve the analytical user experience. As it is with every release, we’ve also included improvements to reports and charts.
I love data. I live it, I breathe it and I get excited about it. Recently, I started thinking about what creates a data culture when I read the Big Data and AI Executive Survey 2019. It said that 72% of respondents were yet to forge a data culture. While every business uses data in some form, they don’t all use it to truly understand the dynamics of their business and make strategic decisions.
Talend provides a family of Machine Learning components which are available in the Palette of the Talend Studio if you have subscribed to any Talend Platform product with Big Data or Talend Data Fabric. These components provide a whole bunch of tools and technologies to help integrate Machine Learning concepts for your use cases. These out of the box components can perform various Machine Learning techniques such as Classification, Clustering, Recommendation and Regression.
Outra is a UK predictive data science business that helps companies increase the power and precision of data through a modern, science-led approach which delivers actionable insight at speed. Many of Outra’s clients have either limited or no data science capabilities in house. Outra matches its proprietary property data with client’s customer data and any relevant third-party data.
The launch of Signals has been a complete game-changer for us this year. Yellowfin is doing something completely unique in the marketplace and we’re winning some great deals because of it. Signals is an automated data discovery product that delivers alerts to users about critical changes in their business. It’s not about dashboards - this is a completely different way of consuming analytics.
The flow of data can be perilous. Any number of problems can develop during the transport of data from one system to another. Data flows can hit bottlenecks resulting in latency; it can become corrupted, or datasets may conflict or have duplication. The more complex the environment and intricate the requirements, the more the potential for these problems increases. Volume also increases the potential for problems. Transporting data between systems often requires several steps.
