August 28 to 30 2018, Santa Clara, CA.

Speaker "Nikki Hallgrimsdottir" Details

Name :
nikki hallgrimsdottir
Company :
Title :
Co-Founder
Topic :

Powering Business Intelligence with NLP

Abstract :

Business Intelligence is no longer considered a hyped-up emerging technology, but rather a necessity for enterprises of all types. However, with visual analytics and reporting being the most popular way to implement BI and various platforms and technologies to choose from, there are still issues with productivity, training, and proliferation of these tools beyond analysts and super users in many large organizations.

Advances in Natural Language Generation and Processing (NLG & NLP) are now providing options for mainstream business users to interact with data in a new way, giving large enterprises a way to benefit more from existing investments and create new value and use cases from BI endeavors.

This talk will explain various options available on the market for Natural Language based Business Intelligence tools and workflows, and how adding an NL based capability to BI deployments can increase the ROI of such investments.

Attendees will learn:

1. What is the difference between NLP and NLG and how are they used in the context of BI

2. How to evaluate the suitability of NL based technologies for the intended use case

3. How to ensure successful adoption of BI across all functions of an enterprise

Profile :

Nikki Hallgrimsdottir is a co-founder and Chief Evangelist of Algomus where she works with enterprises in the manufacturing, distribution, and retail sectors to leverage Artificial Intelligence and Data Analytics to transform their business. Nikki believes that pairing Human and Machine Intelligence is imperative to the growth and success of any company in a world of rapid change and technological innovation.

Nikki has worked for 10+ years helping companies effectively use automation technology, both hardware and software, previously holding positions with CST of America, Festo, and Keyence.  She knows enough to be dangerous in the areas of Big Data, Analytics, Artificial Intelligence, IoT Hardware, Machine Vision, Supply Chain Traceability, Industrial Automation, and Multiphysics Simulation to name a few.

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