IBM and Trifacta Collaborate on Data

Yes, its all about getting the data right.

IBM and Trifacta collaborate on new data prep tool for AI models
in SiliconANGLE by Mike Wheatley 

IBM Corp. is trying to address the cumbersome and time-consuming process of preparing data for use in artificial intelligence and machine learning model training with a new data preparation tool it developed in tandem with Trifacta Inc.

The companies point out that data preparation is an essential step in building machine learning and predictive models. That’s because the data needs to be extremely accurate or else the models will be ineffective, but the problem is that data scientists can spend up to 80% of their time on this task. ... " 

Value of Data Wrangled

In the Trifacta Blog.  Always important element of doing the analytics.  by Joe Scheuermann  

"... Before data can be analyzed, it must be wrangled (prepped) into the requisite format for the analysis you want to run, especially if you need to blend data from various datasets or sources. This step creates a bottleneck or, worse, an impasse that prevents organizations from harnessing and using the potential of their data to enable data-driven decisions.

Data wrangling has historically been the exclusive domain of skilled data scientists—though, even for trained data scientists, this step can take as much of 80% of an analysis cycle. And because the demand for technical talent far outweighs the supply, the bottleneck in marketing data analytics is compounded.

But help is on the way. A recent influx of emerging data technologies has democratized the process of data wrangling, making it easier for marketers to get hands-on with the data they need to drive results. ... " 

Microsoft Pendleton

More on MS Data Wrangling, note Google is currently also working in this space with Trifacta.  Its a big issue in data science work process.  This is often done with tools like Excel, but adding intelligence driven methods can decrease time and remove errors.   How interactive will such an assistant be?  

Microsoft aims to take the work out of data wrangling with coming 'Pendleton' tool
Microsoft is testing privately a tool for data scientists for data preparation and cleaning that is codenamed "Pendleton."     By Mary Jo Foley

Cloud Dataprep by Google with Trifacta

Its all about the data and how you wrangle it.  Good links to TensorFlow?  Checking.

Google Launches Public Beta of Cloud Dataprep, Built in Collaboration With Trifacta

Google recently announced that Google Cloud Dataprep—the new managed data  wrangling service developed in collaboration with Trifacta—is now available in public beta. This service enables analysts and data scientists to visually explore and prepare data for analysis in seconds within the Google Cloud Platform.

Now that the Google Cloud Dataprep beta is open to the public, more companies can experience the benefits of Trifacta’s data preparation platform. From predictive transformation to interactive exploration, Trifacta’s  intuitive workflow has accelerated the data preparation process for Google Cloud Dataprep customers who have tried it out within private beta.   .... " 

Future of Data Visualization

In Flowingdata:  A short talk on Data visualization.  Speaker is Jeffrey Heer, founder of Trifacta. Mentions keeping people in the loop.  Also quotes Edward Tufte's statement that we should make sure we include data variation as well as design variation in visualizations.   Which leads to including better interaction methods.   Promotes automation of alternative  design aspects of visualization  Well done.   Key further is the direct connection to other basic forms of analytics