[aiim17] analytics and ai will lead to true records management automation - joe mariano

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Analytics and AI will Lead to True Records Management Automation Joe Mariano Gartner Senior Research Analyst

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Page 1: [AIIM17] Analytics and AI will Lead to True Records Management Automation - Joe Mariano

Analytics and AI will Lead to True Records Management Automation

Joe MarianoGartner Senior Research Analyst

Page 2: [AIIM17] Analytics and AI will Lead to True Records Management Automation - Joe Mariano

Goals for today• Automation technologies and their

effect on records management• Evaluation strategies when considering

new records management solutions• Strategies to prepare employees for

the use of automation

Page 3: [AIIM17] Analytics and AI will Lead to True Records Management Automation - Joe Mariano

What is records management in the modern world?

According to AIIM, records management refers to a set of activities required for systematically controlling

the creation, distribution, use, maintenance, and disposition of recorded information maintained as evidence of business activities and transactions.

Records management, also known as records and information management or RIM, is an organizational function devoted to the management of information in an organization throughout its life cycle, from the time of creation or inscription to its eventual disposition. This includes identifying, classifying, storing, securing, retrieving, tracking and destroying or permanently preserving records.

Page 4: [AIIM17] Analytics and AI will Lead to True Records Management Automation - Joe Mariano

What is records management in the modern world?

According to AIIM, records management refers to a set of activities required for systematically controlling

the creation, distribution, use, maintenance, and disposition of recorded information maintained as evidence of business activities and transactions.

Records management (RM), also known as records and information management or RIM, is an organizational function devoted to the management of information in an organization throughout its life cycle, from the time of creation or inscription to its eventual disposition. This includes identifying, classifying, storing, securing, retrieving, tracking and destroying or permanently preserving records.

Page 5: [AIIM17] Analytics and AI will Lead to True Records Management Automation - Joe Mariano

Digital Assistance • Half of modern enterprises will be on Windows 10 by 2018

• Google and Microsoft cloud office services continue to grow in popularity

• Google and Microsoft provide toolsets for developers to intergrade their applications

Page 6: [AIIM17] Analytics and AI will Lead to True Records Management Automation - Joe Mariano

The Future is Not Now, BUT IT IS COMING!

By YE20, 80% of content declared as records will be done so automatically via graphing technology

and analytics.

Gartner Research: Predicts 2017: Automating and Improving

Workers' Content Interactions and Experiences

Page 7: [AIIM17] Analytics and AI will Lead to True Records Management Automation - Joe Mariano

Federation

Insight Engines and AI

Analytics Engines

Digital Assistanc

e

Evolution of Technologies for Records Management

Disposition Retention Schedule Mgmt

Auditing Records Declaration

HoldsReporting

Page 8: [AIIM17] Analytics and AI will Lead to True Records Management Automation - Joe Mariano

The New Technologies

Yes79%

No21%

Yes No

Yes86%

No14%

Yes No

Insight and Artificial Intelligence Content Analytics Engine

Page 9: [AIIM17] Analytics and AI will Lead to True Records Management Automation - Joe Mariano

The Underlying TechnologyFingerprint Technology•Identify as related or similar content•Determine the right record series based on document layout

Machine Learning•Based employee’s persona and previous interactions•Extracting from pre-existing content

Training•Use example or sample document and rules/policies•Train through extracting data from content.

Page 10: [AIIM17] Analytics and AI will Lead to True Records Management Automation - Joe Mariano

Scenario 1: Insight (Learning)

Recommend

Approve and DenyLearn

Index

Persona, Previous Responses, Usage

Employee approves or denies content

Based on employee feedback

Content is crawled

Page 11: [AIIM17] Analytics and AI will Lead to True Records Management Automation - Joe Mariano

Scenario 2: Auto Classification (Teaching)

• Application is trainedTeach

• Assess content in repositories or as ingested

Index• Retention is

appliedAuto-

classify

Page 12: [AIIM17] Analytics and AI will Lead to True Records Management Automation - Joe Mariano

Federation

Page 13: [AIIM17] Analytics and AI will Lead to True Records Management Automation - Joe Mariano

FederationDoes your platform provide integrations that allows retention, disposal, and records management control to be applied to data in other repositories from your platform?

Yes71%

No29%

Yes No

28%

9%

9%9%

6%

22%

16%

Office 365 G Suite Box DropboxSlack SAP SalesForce

Page 14: [AIIM17] Analytics and AI will Lead to True Records Management Automation - Joe Mariano

Assessing Records Management Tools

Core records management functions have reached their maturity plateau

Page 15: [AIIM17] Analytics and AI will Lead to True Records Management Automation - Joe Mariano

Assessing Records Management Tools

Who is being innovative?

Page 16: [AIIM17] Analytics and AI will Lead to True Records Management Automation - Joe Mariano

Assessing Records Management Tools

Finger Printing Technology

Machine Learning

Intelligently Assigning

VisionAvailable

Functions and Technology

Future Release Timing

PartnershipsOut of Box Integrations

APICMIS

Experience levelCurrent Client ReferencesGround Up

Development or Through

Acquisition

Page 17: [AIIM17] Analytics and AI will Lead to True Records Management Automation - Joe Mariano

Preparing Business EmployeesAutomation Perspective

“Most users won't accept a “magic” system where they do not understand why a document is classified into a certain category”

SER GroupGartner Records Management Automation Survey

January, 2017

Page 19: [AIIM17] Analytics and AI will Lead to True Records Management Automation - Joe Mariano

Preparing Business EmployeesThe Automation Perspective

Automation maturity must happen holistically and not through the lens of records management

Key considerations Description

Assess Organization and Skills Business and IT employees understanding

Assess Workflow IQ Effectiveness of creating workflows

Standardization Standardizing IT software, hardware and policy

Objective and expectations Be realistic with automation projects

Value and Benefit Reliability, response time, human labor required

Page 20: [AIIM17] Analytics and AI will Lead to True Records Management Automation - Joe Mariano

Preparing Business EmployeesRecords Management Perspective

Training Training Training

Page 21: [AIIM17] Analytics and AI will Lead to True Records Management Automation - Joe Mariano

Action PlanEvaluate current automation usageEvaluate current records management maturityEvaluate current RM applications automation techCreate awareness program where neededEstablish a short and long term roadmap

Page 23: [AIIM17] Analytics and AI will Lead to True Records Management Automation - Joe Mariano