Overview

From Data Driven to AI-Driven Enterprise

In the 1980s it was decision support systems. At the turn of the millennium, it was the data-driven enterprise. Today the AI-Driven Enterprise is the latest strategy for driving exceptional growth. The reality, however, is that most businesses fail with AI. How do you avoid AI failure? By empowering the citizen data scientist, but what’s the best way to achieve that goal?

The answer is automation. There aren’t enough data scientists to sattisfy demand. That means you need a platform that can automate the hardest parts of the process, and that data scientists and non-data scientists alike can use.

With dotData, you can finally put your data, and your existing people to work on the promise of AI to fulfill the vision and scale your AI-driven success.

Deliver On the Promise of AI

Leverage all your data for true decision-making

The hardest, most time-consuming part of building useful AI and machine learning models is data preparation and feature engineering. dotData helps you free your data scientists and data engineers from these thankless tasks with an automated platform that connects directly to relational data sources and automatically discovers entity relationships and builds features on the fly.

Empower the data-driven employee

According to 2019 research by IDC, “skill shortages” is the biggest reason for AI project failures. Empower a new class of citizen data scientist with dotData. Our full-cycle data science automation tool empowers business analysts, data engineers and software developers with the features they need to create compelling, accurate and scalable AI models in days instead of months, realizing the promise of the AI-driven enterprise.

Measurable impact and ROI

Getting value from AI investments is one of the biggest challenges facing any organization. With an estimated 96% of AI projects never leaving the lab, how do you drive value for your business with AI? dotData helps the citizen data scientist automate your process – so you can spend more time on driving valuable AI models – and less time on the mundane tasks of wrangling data, feature engineering, and model testing. With dotData’s transparency features, connecting value from model features to real-world use cases becomes intuitive and straightforward.

WHITE PAPER

According to 2019 research by IDC, “skill shortages” is the biggest reason for AI project failures. How do you solve the skills challenge in data science? Download our complimentary white paper: Got Enough Data Scientists? and learn how AutoML 2.0 solutions can empower an entire new class of data science contributors.

READ THE WHITE PAPER
Got Enough Data Scientists

The Right Product for the Right User

Start by selecting the product you need, based on your environment, your use-case and your need to “get dirty” with the details of your data science workflow.

dotData Enterprise:
AutoML 2.0 & Data Science Automation

Leverage a full GUI experience to automate as much of your data science workflow as necessary. Empower citizen data scientists and data scientists alike.

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dotDataPy:
AutoML 2.0 in a command-line

Leverage a rich and scalable Python library that enables you to perform end-to-end data science tasks with just a few lines of Python code.

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AutoML 2.0: Data Science Automation Accelerates Your Business

Scaling a data science practice is challenging, time-consuming, and expensive. With Automated Data Science, you can empower data analysts, software engineers, and BI professionals to build and benefit from predictive models. Through Data Science Automation, you can embed models into applications seamlessly, while freeing up the time of your data science team to be more productive.

BI & Data Analysts

Unlike traditional AutoML systems that require users with in-depth knowledge of data wrangling and constructing feature tables, dotData automates 100% of the data science process.  With dotData and minimal training, your BI team and data analysts can quickly learn to contribute to your ML and Enterprise AI initiatives, freeing precious resources and accelerating time to market for your AI & ML initiatives.

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Data Scientists

Data scientists spend 80% of their time in wrangling with data and constructing complex feature tables. By automating the entire workflow, you can liberate your data science team from the mundane tasks associated with data science and give them the power to provide tangible value to your business in a scalable, seamless manner that is not possible with hand-coded approaches or traditional AutoML platforms.

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IT & Software

Integrating your AI and Machine Learning models into production environments is a crucial step in deriving value from your Enterprise AI projects. dotData gives your IT and engineering teams a seamless API-based integration model that enables Continuous Deployment and makes deploying and maintaining models fast and straightforward.

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Executives and Line of Business

Giving executives and line of business leaders insights into the Machine Learning and Enterprise AI process provides the transparency and line of sight needed to keep projects moving and provide discernible ROI and value for the organization.

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AutoML 2.0 Demo

Experience the power, speed, and ease of use of our AI-powered data science automation platform.

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