Company Unveils Newest Version of Data Science and Analytics Platform at Inspire 2019
Alteryx, Inc., revolutionizing business through data science and analytics, introduced Assisted Modeling, an interactive guide built into the Alteryx Platform to walk users through the creation of machine learning models. Ashley Kramer, senior vice president of product management, demonstrated the functionality of Assisted Modeling and announced the beta program to more than 4,500 attendees during this morning’s keynote at Inspire U.S. 2019, the company’s annual user conference.
Data-driven companies recognize the need for machine learning to succeed in business transformation, but struggle to advance analytic journeys as they continue to rely on data scientists and trained statisticians to build and apply advanced models. With the introduction of Assisted Modeling, Alteryx amplifies the capabilities of analysts and citizen data scientists, delivering transparent machine learning in a code-free environment. Recognizing the pervasive talent gap that exists between data scientists and data workers in the line of business, Assisted Modeling helps teach data science with a guided walk-through and aims to help all data workers, regardless of technical acumen, advance their skill sets in the process of building machine learning models.
“As we continue to deliver innovations for a smarter platform, it is critical to address the human at the center of analytic intelligence. Our approach in building Assisted Modeling is to advance the skills of the data worker, creating next-level citizen data scientists capable of building the machine learning models required to tackle the advanced analytic challenges of the future,” said Kramer. “Assisted Modeling provides users the transparency and control needed to build trustworthy machine learning models that drive business outcomes without writing a line of code. I am thrilled to deliver the newest version of our platform today and to invite our customers and partners to be the first to experience Assisted Modeling.”
As an output of the application, users can access code-free machine learning tools directly within the Alteryx Designer interface. Assisted Modeling allows any data worker to construct machine learning models, understand how and why their models work, and capture modeling decisions, turning raw data into informed business decisions with unprecedented speed and confidence.
Alteryx also announced the general availability of the newest version of the Alteryx Platform (2019.2), easing data exploration and helping data workers dig into data quickly to identify actionable insights. Key features and highlights of 2019.2 include:
- Centralized data source connector: Easily connect to every disparate data source through a single connection experience;
- Interactive results grid: Sort, search and filter data via a familiar spreadsheet experience directly within the Alteryx Designer results grid to ask better questions and get answers faster; and
- Improved collaboration: Collaborate across silos with enhanced sharing permissions in Alteryx Server.
This press release contains forward-looking statements that involve risks and uncertainties, including statements regarding the availability of Assisted Modeling and its impact on the Alteryx software platform and its customers, and other future events. These forward-looking statements are only predictions and may differ materially from actual results due to a variety of factors including, but not limited to: our ability to develop and integrate Assisted Modeling into our platform; our ability to develop and release product and service enhancements and new products and services to respond to rapid technological change in a timely and cost-effective manner; intense and increasing competition in our market; and other general market, political, economic, and business conditions.
Additional risks and uncertainties that could affect our business are included in the Risk Factors section of our Quarterly Report on Form 10-Q for the three months ended March 31, 2019. All forward-looking statements contained herein are based on information available to us as of the date hereof and we do not assume any obligation to update these statements as a result of new information or future events.