Events

Disrupting Businesses with AI Automation

Disrupting Businesses with AI Automation

July 14, 2020

AI is upending the business world and disrupting industries. The question is how can organizations leverage the transformative power of AI? How have the economic upheavals created in the past few months impacted AI development efforts? How does a business continue to invest in AI without making massive investments in additional talent?

At dotData, our vision is to bring disruptive scale and speed in AI development through automation.

We deliver production-grade models in a matter of days compared to the traditional AI development process that takes months. Intelligent business decisions and powerful insights are within your reach.

Join us @VentureBeat #Transform July 15th to the 18th, 2020 to learn how AI automation enables organizations to execute more AI projects with fewer resources,  adding unprecedented value and causing disruption!

Walter Paliska

Walter brings 25+ years of experience in enterprise marketing to dotData. Walter oversees the Marketing organization and is responsible for product marketing and demand generation for dotData. Walter’s background includes experience with both software and hardware companies, and he has worked in seven different startups, including three successful bootstrap startups.

Walter Paliska

Walter brings 25+ years of experience in enterprise marketing to dotData. Walter oversees the Marketing organization and is responsible for product marketing and demand generation for dotData. Walter’s background includes experience with both software and hardware companies, and he has worked in seven different startups, including three successful bootstrap startups.

Recent Posts

dotData Insight: Melding the Power of AI-Driven Insight Discovery & Generative AI

Introduction Today, we announced the launch of dotData Insight, a new platform that leverages an…

5 months ago

Boost Time-Series Modeling with Effective Temporal Feature Engineering – Part 3

Introduction Time-series modeling is a statistical technique used to analyze and predict the patterns and…

10 months ago

Practical Guide for Feature Engineering of Time Series Data

Introduction Time series modeling is one of the most impactful machine learning use cases with…

10 months ago

Maintain Model Robustness: Strategies to Combat Feature Drift in Machine Learning

Introduction Building robust and reliable models in machine learning is of utmost importance for assured…

11 months ago

The Hard Truth about Manual Feature Engineering

The past decade has seen rapid adoption of Artificial Intelligence (AI) and Machine Learning (ML)…

11 months ago

Feature Factory: A Paradigm Shift for Enterprise Data

The world of enterprise data applications such as Business Intelligence (BI), Machine Learning (ML), and…

12 months ago