machine learning for the masses

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Tim Barker Chief Product Officer @timbarker DataSift MACHINE LEARNING MASSES for the

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Tim BarkerChief Product Officer@timbarkerDataSift

MACHINE LEARNING

MASSESfor the

What DataSift does1

The Machine Learning opportunity and imperative for deeper insights2

Vedo Intent: Machine Learning for all of us3

Live Demo4

Vedo Focus & Foundation Models5

Q&A. How to get started.6

AGENDA FOR TODAY’S WEBINAR

LIMITLESS POTENTIAL OF HUMAN DATA INTELLIGENCE

2.1B People Globally on Social Networks

Barriers to extracting insights from big, human data

Separate Signal from Noise

Derive meaning from text

Extracting Insights while protecting privacy

DATASIFT HUMAN DATA INTELLIGENCE

Social Networks and Data Owners

Build a data-driven Ecosystem & Economy

Unified Human Data Platform

Platform for companies to access, interpret and analyse social data at

scale

Analytics Companies, Agencies & Brands

Build Insights from the Universe of Human Data

ApplicationBuilders

Agencies

Unify Filter Unlock Use

DATASIFT HUMAN DATA INTELLIGENCE

Social Networks and Data Owners

Build a data-driven Ecosystem & Economy

Unified Human Data Platform

Platform for companies to access, interpret and analyse social data at

scale

DataSift powers an ecosystem of use-cases

Build Insights from the Universe of Human Data

Unify Filter Unlock Use

Consumer ResearchBrand Reputation MgmtCampaign Analysis Product Feedback Audience BuildingBreaking News DetectionMedia Monitoring Influencer AnalysisSecond Screen Customer Service Influencer Modeling Investor Relations Competitive Benchmarking Supply Chain Demand Planning

Source: Google Search Trends

MACHINE LEARNING ON THE ASCENT

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BEYOND SENTIMENT INTO INTENT

UNLOCKING INTENT = DEEPER, ACTIONABLE INSIGHTS

Question that requires responseQUERY

Criticism that merits brand management considerationRANT

Praise from a brand advocateRAVE

Pronouncement of near-term purchase decisionLEAD

Request to enhance a product with a new featureFEEDBACK

Indicates an intent-to-churnCHURN

VEDO INTENT

Build machine learning classifiers without the need of a PhD

Active learning: learns as posts are manually classified into categories such rant, rave, purchase intent or churn.

Dynamically builds: machine learning based models to first suggest, and then fully automate, the real-time classification of millions of posts.

DEMO

Advancing innovation and the application of machine learning and data science to social data

Community: Collaborate and productize advanced algorithms for human-created data.

Foundation Models: Pre-built statistical models for use by FORUM members.

INTRODUCING THE FORUM

First Foundation Model: Keyword Relationship Model

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Explore hashtags, keywords and topics that are related, based on analysing over 2 billion of items of data

Deep learning algorithm: applied to over 2 billion items to understand the relationship between words.

Guides marketers: to understand the keywords and hashtags that they should be using in their analysis or within their campaigns.

VEDO INTENT

Contact the product team if interested

[email protected]

FORUM

Join the FORUM initiative www.datasift.com/forum

Try out our keyword model

datasift.me/keyword-explorer

HOW DO YOU GET STARTED?

Q&A

THANK YOU!