The integration landscape is changing. According to Gartner, “Two-thirds of all business leaders believe that their companies must pick up the pace of digital transformation to remain competitive.” One of the byproducts of this increasing pace is the desire to get results quickly. In a cloud-first world, that means expectations are changing for how products are trialed, procured, and billed. People expect things to be simpler, faster, and more intuitive.

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?

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.

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.

We live in a digital age which is increasingly being driven by algorithms and data. All of us, whether at home or work, increasingly relate to one another via data. It’s a systemic restructuring of society, our economy and institutions the like of which we haven’t seen since the industrial revolution. In the business world we commonly refer to it as digital transformation. In this algorithmic world, data governance is becoming a major challenge.