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Analytics

Can You Trust Your Analytics Dashboard? 3 Steps To Build a Foundation of Trusted Data

We are in the era of the information economy. Now, more than ever, companies have the capabilities to optimize their process through the use of data and analytics. While there are endless possibilities to data analysis, there are still challenges with maintaining, integrating, cleaning it to ensure that it will empower the people to take decisions.

The Embedded Vision Summit in Santa Clara to Feature a Talk by allegro.ai's Chief Technology Officer

This conference is shaping up to be the largest ever focused on Computer Vision and Visual Artificial Intelligence. We invite you to attend the session and meet our experts. To arrange a time to meet during the conference, send an email to Neil Berns at neil.berns@allegro.ai.

Part 3: How machine learning, AI and automation could break the BI adoption barrier

In the first blog post of the series, we saw the dire state of analytics adoption. This problem feeds into the low usage and governance of data across organizations. Then, in the second post, we saw how the evolution of analytics has brought us to a prime position for augmented analytics. But will this new wave of augmented analytics break through the barriers to BI adoption?

Pipeline Designer Use Case: Salesforce to Snowflake

Welcome to Talend's Pipeline Designer, a modern, flexible integration tool you can use to easily and powerfully process data at scale--FAST. In this video, you will see a real use case that extracts Order data from Salesforce.com and enriches it with data from a product catalog before loading the results to a Snowflake Data Warehouse for analysis.

How to accelerate your path to AI

Software vendors that are looking to accelerate their path to AI need to take advantage of the AI already in analytics platforms. Gartner believes that the future of analytics is augmented. That is, analytics will be AI-driven and all end-to-end use cases will be automated. I also believe it won’t be long before analytics is no longer on our desktops - instead it’ll be embedded in applications.