AppSheet Platform Upgraded with OCR
Capabilities
December 3, 2019
AppSheet
has added Optical Character Recognition (OCR) and new predictive model
features to its intelligent platform, enabling business users to speed
up data entry, perform statistical analysis of data, and integrate
machine learning (ML) processing capabilities in smart enterprise
apps—all without writing a single line of code.
AppSheet’s new OCR and no-code ML features builds on the company’s
previously announced artificial intelligence (AI) and natural language
processing (NLP) features, including Spec and Smart Assistant. These
industry-first AI and NLP capabilities (in a no-code app platform)
provide a user-friendly interface to technical and non-technical users
alike, combining NLP with data-driven learning to discern what kind of
app the user wants, and to build it interactively in real-time.
“Our new OCR and predictive model capabilities further demonstrate how
any business can easily embed AI and ML capabilities in intuitive
software solutions to help drive productivity, without requiring
specialized developers or data scientists,” said Praveen Seshadri,
founder and CEO of AppSheet. “AppSheet empowers the business user to
create and deploy apps that improve processes and drive productivity.
Because no coding is required, business users can do it themselves
without the need for expensive IT resources. With the new AI/ML
features, these apps can now use data-driven intelligence to provide a
smarter user experience and drive greater productivity gains.”
According to Gartner, “The number of enterprises implementing AI grew
270 percent in the past four years and tripled in the past year,
according to the Gartner, Inc. 2019 CIO Survey. Results showed that
organizations across all industries use AI in a variety of applications,
but struggle with acute talent shortages.”1
AppSheet disrupts the traditional code-based application development
process. It combines a declarative no-code model with platform
intelligence. Business users can innovate and create multi-platform apps
without writing any code. Instead of hiring developers (in a constrained
tech talent market), the AppSheet intelligent no-code approach is more
agile, significantly more powerful, and comes at a fraction of the cost.
Building Smarter Apps with AppSheet OCR and ML-Powered Predictive Models
AppSheet’s
new OCR feature allows users to access the text or writing that appears
in an image, eliminating data entry errors and speeding up data entry by
automatically filling out forms from an image, creating digital
workflows from a paper-based system. For example, scanning conference
badges that are necessarily physical, yet an app is required to
digitally store the badge data.
AppSheet’s new predictive models perform a statistical analysis of
users’ app data to make predictions about future outcomes. Each
predictive model is powered by a machine learning algorithm that learns
to generalize from your historical data. One example of this type of
predictive model includes categorizing customer input based on examples
of the feedback and the categories to which they belong. Another example
involves predicting customer churn by using customer instances and data
on whether they have ended their relationship. Finally, another
predictive model includes estimating the cost of a project given the
examples from previous projects, as well as how much they cost. |