18. Beyond the Hype of Machine Learning and Artificial Intelligence - - PowerPoint PPT Presentation

• 18. Beyond the Hype of

Machine Learning and Artificial Intelligence

Tue May 21, 2019, 1PM Scott Burt, President & CEO, Integro

Poll Question

Do you think AI, ML, and/or NLP could help with InfoGov tasks?

My theory

• n our use
• f AI for

InfoGov

UNIVERSAL ENHANCEMENTS INTEGRATED GET EDUCATED ACCESSIBLE BUT… HANG ON

Common IG Use Cases

Classification Retention Findability Value Cleanup Enrichment

WHAT IS AI?

AI refers to machines that can learn, reason, and act for themselves

Is this AI?

November 10, 2018, MIT Technology Review

WHAT IS MACHINE LEARNING?

Looking for patterns in massive amounts of data

Machine Learning:

Looking for patterns in massive amounts of data

Document classification Image recognition OCR Voice transcription Document capture

Source: Box

Source: Box

WHAT IS NATURAL LANGUAGE PROCESSING (NLP)?

Computer understanding, analysis and processing of human language

Source: https://azure.microsoft.com/en-us/services/cognitive-services/text-analytics/ See also: https://azure.microsoft.com/en-us/services/cognitive-services/language-understanding-intelligent-service/

SUPERVISED VS. UNSUPERVISED LEARNING

Unsupervised Learning

Source: Brainspace

Supervised Learning

Source: Integro Email Manager

IG USE CASES TO CONSIDER

Seek repetitive tasks

Seek out low-skill tasks that

• ccupy the time of high-skilled

workers

• Is the task data-driven?
• Do you have the data to support

the automation of the task?

• Do you really need the scale that

automation can provide?

Kristian J. Hammond, Northwestern, Professor of Computer Science

Classification, Records and Defensible Disposal

Source: Integro Email Manager

Classification Case Study | Email Archives

• F500 company
• 1 Billion emails in archive
• 87 records categories
• 5 months to process the entire archive
• 256M identified as records of 1B
• Remainder emails not on Hold eligible for

defensible disposal

Classification Case Stud(ies) | Email Management with Human Oversight

• Integro Email Manager™
• Models trained to match full or partial file

plan

• Assists the user by auto classifying and

suggesting most likely categories

• Enables 3-zone email management with light

impact on users

Classification Case Study | Records Audit

• Fortune 500

pharmaceutical company

• 40TB of classified content
• Training was ‘easy’

considering the assembled corpus

• Processed and validated the

accuracy/quality of records categorization

Text Capture for Enrichment

Privacy Compliance

“Personal information” is defined under the CCPA as “information that identifies, relates to, describes, is capable of being associated with, or could reasonably be linked, directly or indirectly, with a particular consumer or household.”

26

Enrichment/Findability | Audio & Video

Source: Box.com

THE LEADING PROVIDERS

Names you know.

Natural Language Processing (NLP) Machine-Learning (ML) Artificial Intelligence (AI) LUIS (Language Understanding Intelligent Service) Azure Machine Learning Service, Cubeflow, Cloud TPUs Azure AI, Text Analytics API Amazon Comprehend Amazon SageMaker Amazon Textract, Amazon Rekognition Watson Natural Language Understanding Watson Machine Learning, Watson Visual Recognition Watson AI, Watson Studio, Watson Discovery Cloud Natural Language Cloud AI Platform AI, prepackaged solutions (e.g., Document Understanding AI, pretrained AI model for healthcare)

Pros and Cons

• f Using AI for

InfoGov

Pros

• Automate previously

impossible tasks – like classify a billion documents

• Cheap to start, just

subscribe

• No AI experience

‘necessary’

• Rapid progress!
• AI as a feature in products

– i.e., Box Skills, Integro Email Manager Cons

• The time and effort to train

the system

• Still early days
• Internal competing AI

projects

• Big vendors not focused on

IG

• Explicability & acceptance

challenges

• Ethics and bias issues

• Read… a lot
• Look for opportunities – low risk, high

reward, bite-sized at first

• Get a free account with a cloud

provider

• Review current vendors and their

plans – The best first projects will likely be AI as features in products – Vendors will be seeking clients to be early adopters and references

• Engage product-neutral consulting

services

• Request a workshop and presentation
• n Leveraging ML to Auto Classify

Content for better Information Governance

Recommended ‘reading’

Poll Question

Do you think AI, ML, and/or NLP could help with InfoGov tasks?

IG Use Cases to consider

• Forms data extraction
• Text analysis
• Text entity extraction
• Content enrichment
• Voice Recording transcription
• Video transcription
• Mergers and Acquisitions
• Improving searchability and findability
• Content Cleanup/Defensible Disposal
• Email management

Scott Burt

President & CEO, Integro 720-904-1601 | sburt@integro.com Twitter: @integroburt LinkedIN: linkedin.com/in/scottburt

Thank You