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The journey to democratize data continues

Data is the new oil and a critical differentiator in generating retrospective, interactive, and predictive ML insights. There has been an exponential growth in the amount of data in the form of structured, semi-structured, and unstructured data collected within the enterprise. Harnessing this data today is difficult — typically data in the lakes is not consistent, interpretable, accurate, timely, standardized, or sufficient. Scully et. al.

The Rise of AI in Analytics

Dashboards are great for monitoring your business, but they aren’t able to provide you with actionable insights in real-time. AI analytics is on the rise, and it’s changing the way we consume information. Join us on 12th February to understand more about the current use and adoption of dashboards and AI analytics. You’ll also hear about Gateshead NHS Foundation Trust’s analytics journey, and how they are looking at automated data discovery to optimise their A&E services.

What's New in Talend Winter '20 Release

It has become commonplace to say that data is the lifeblood of digital transformation and that it affects every aspect in business. However, companies are faced with an uphill battle to close the data intelligence gap and truly enable the digital transformation of their organization. With the Winter ’20 release of Talend Data Fabric, we believe we are bringing the power of data intelligence to the next level.

Capturing data intelligence at first sight with Talend Data Inventory

Think about your experience when you book a hotel room, order a taxi, or purchase something online. You reach the best offer in a few clicks and you get additional guidance with ratings to so you can predict the quality of the goods or services you’re buying. It’s really helpful to have all that additional information. So why don’t we get a similar experience when consuming data?

When adopting machine learning, people are as important as technology

A secret to adopting machine learning that has nothing to do with the actual technology. Machine learning has the potential to transform your business. To automate processes, uncover new insights, make your products and services better, and customers happier. Integrating the capability into your organization requires operational transformation and lots (and lots) of experimentation. But, you know this already.

Operational Database in CDP

Cloudera’s operational database (OpDB) in CDP delivers a real-time, always available, scalable OpDB that serves traditional structured data alongside new unstructured data within a unified Operational and Warehousing platform. Cloudera delivers an operational database that serves traditional structured data alongside new unstructured data within a unified open-source platform.

Why Bring Waterline Data's ML-Enabled Data Catalog to Hitachi Vantara's DataOps Portfolio?

As you may have heard, Hitachi Vantara recently announced the intent to acquire the assets of Waterline Data. Today, that deal has become official and, as Waterline’s founder, let me say we’re super excited about our strategic role in furthering Hitachi Vantara’s vision to become the world’s preferred digital innovation partner.

Is Your Data Story Safe?

As we navigate unprecedented times together, we inevitably find ourselves to be participants in a global data storytelling exercise; either as an author, contributor, or a reader. There are now hundreds, if not thousands, of data storytelling examples out there. It’s a riveting data story that’s been read over 40 million times, receiving over 230,000 claps, and translated into 30 languages. But is this data story ’safe’?

How to deploy ML models to production

Currently, many enterprises, including many Cloudera customers, are experimenting with machine learning (ML) and creating models to tackle a wide range of challenges. While today, many models are used for dashboards and internal BI purposes, a small and rapidly growing group of enterprise leaders have begun to realize the potential of ML for business automation, optimization and product innovation.