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Innovation in Action�A Practical Approach to AI in Business

Todd Donzelli

Technology & Innovation Strategy

Date 8-8-2024

Technology & Innovation

PLATFORM INNOVATION

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Agenda

Business Transformation

Infor AI Strategy & Perspective

AI for Business Impact

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What is Digital Transformation?

Infor Technology & Innovation

Technology Enablers:

Cloud computing
Big data & analytics
Internet of Things (IOT)
Artificial Intelligence
Cybersecurity

Process Re-Engineering:

Fundamental Re-Thinking
Leveraging Technology
Customer-Centric
Organizational Change
Continuous Improvement

Culture of Innovation:

Mindset of continuous learning
Collaboration & cross functional teams
Embrace risk & failure
Leadership commitment & support
Reward Innovation & Creativity

Digital Transformation:

Enhanced customer experience
Operational efficiency & agility
Increased competitive advantage & Innovation

Digital transformation is simply the process of re-imagining how your organization operates, enhanced and enabled through technology enablers and supported by a new corporate mindset of continuous innovation.

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Infor Digital Transformation for Business

Infrastructure, platform and business applications, all integrated into a single solution.

Business Innovation

Cloud infrastructure

Industry ERP/Apps

Industry Cloud Platform

IaaS

Process Automation

Workforce Productivity

Predictive Insights

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Predictive Insights

Workforce Productivity

Process Automation

Infor’s Multi-faceted AI Strategy

Infor Technology & Innovation

ML-Powered

GenAI Accelerated

AI-Enabled

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Infor Augmented �Intelligence Subscription (AIS)

Delivered as a Turnkey solution

Integrating People, Process & Technology

Rapid Time to Value

Predictive Insights

Workforce Productivity

Process Automation

AI is a broad area of computer science that focuses on creating systems capable of performing tasks that typically require human intelligence, including a wide range of techniques and methodologies…

ML is a subset of AI that involves training algorithms to learn from and make predictions or decisions based on sets of data, learning patterns that can be used to make predictions about new, unseen data.

Infor’s Multi-faceted AI Strategy

Infor Technology & Innovation

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Infor Enterprise Automation

Repetitive Task Automation: (emails / excels / PDFs etc.)

AI-Driven Data Extraction and Mapping

Gen AI based multi language document processing

Automation and AI, together, help achieve tangible business outcomes where systems are capable of automating business processes through document scanning, intelligence in multi-language data extraction, process mapping, and exception handling.

Robotic Process Automation (RPA) automates repetitive, tedious, high-volume and error-prone tasks with virtual BOTs –which otherwise are performed by employees, manually.

Infor’s Multi-faceted AI Strategy

Infor Technology & Innovation

Predictive Insights

Workforce Productivity

Process Automation

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Infor GenAI

Generate: Human-like text including documentation and other content

Summarize: Longer texts into shorter coherent summaries

Analyze: The context of a given word or phrase to generate contextually relevant text

Translate: Text from one language to another with high accuracy

AI is a broad area of computer science that focuses on creating systems capable of performing tasks that typically require human intelligence, including a wide range of techniques and methodologies…

Generative AI harnesses the collective power of ML, AI, deep learning, NLP and computer vision to enable machines to understand, learn and generate new content, images and conversations autonomously.

Infor’s Multi-faceted AI Strategy

Infor Technology & Innovation

Predictive Insights

Workforce Productivity

Process Automation

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PREDICTING BUSINESS

OUTCOMES

ML learns from existing data to make predictive or prescriptive insights.

CREATING CONTENT

Generative AI uses what it has learned from a large data set to create new, similar kinds of data.

ML vs. Generative AI

Infor Technology & Innovation

PREDICTING BUSINESS

OUTCOMES

CREATIVITY & PRODUCTIVITY

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ML vs. Generative AI

Infor Technology & Innovation

Use Case: Product Maintenance

Traditional PM:

Inefficient and costly
Unexpected downtime and lost production
Unnecessary maintenance tasks
Wasted time and resources

Machine Learning PM:

Predicts equipment failures before they occur
Uses historical and real-time data from �machinery sensors
Identifies patterns or anomalies indicative of potential failures
Provides optimal service scheduling

Use Case: Product Design

Traditional Product Design:

Time-consuming and costly
Trial and error method to meet specific �requirements
Must balance requirements with innovation

Generative Ai Design:

Uses algorithms to generate a wide range of �design alternatives Based on set parameters �and constraints
Uses vast design space to identify the most efficient and innovative Designs solutions that human designers might not consider

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What is Augmented Intelligence Subscription?

Infor Augmented Intelligence

Infor Augmented �Intelligence Subscription (AIS)

Delivered as a Turnkey solution

Integrating People, Process & Technology

Rapid Time to Value

A single subscription offering that requires no implementation costs or additional expense

Industry-centric algorithms applied against defined data sets, tuned by Infor DSaaS

A structured & proven delivery model that focuses on rapidly delivering insights and outcomes

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By feeding your data from Infor’s secure data lake into our embedded artificial intelligence engine (AI)…

…using a broad library of proven industry templates, returning insights and predictions…

…tuned by Infor’s DSaaS experts to provide optimal value to your business.

How Does Augmented Intelligence Subscription Work?

Infor Augmented Intelligence

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Our Unique AI/ML Approach

Infor Augmented Intelligence

Quick start Implementation

Data is key to successful ML implementations

Identify key business challenges & potential outcomes
Collaborate with customer to determine anchor use case
Determine data availability & integrity
Identify patterns/trends, �testing hypotheses, verify assumptions

Subscription based

Ongoing support & ideation to identify subsequent opportunities

Define approach / expectations for model maintenance / ongoing business value realization
Review data availability and perform assessment for use case expansion and additional model implementation

Subscription based

Use case implementation

Implement anchor use case ML model(s)
Plan & identify additional use cases for activation.
Validate potential business �value outcomes
Visualize predictive data insights

Readiness Assessment

Business Outcomes

Continuous Innovation

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Pricing Optimization

Inventory Optimization

Demand Forecasting

Asset Management

Product Recommendations

Delivering Improvements across your Organization

Infor Technology & Innovation

…Utilized in real-time, embedded in your applications, or strategically within your business dashboards.

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AI-driven inventory optimization�Turning data into insights for operational efficiency�

Streamline

Resource Allocation

Increase

Customer Satisfaction

Optimize

Inventory Costs

Marketing

Decisions

Historical

Orders

Product

Attributes

Customer

Characteristics

Pricing &

Promotions

Data

Business

Value

Insights

How can we reduce excess inventory?	How can we improve production planning?	How can we improve service levels?	Where can �we reduce �holding costs?	Where can we reduce lost sales?

External

Influences

Calendar / Event

Information

Total Inventory $ Value

# of Total Units

KPIs

# of Distinct Parts �Violating Policy

% Change in �Holding Costs

% Change in �Avg. Inventory

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AI-driven pricing recommendations�Turning data into insights for effective pricing strategies

Maximize Profits

Increase

Customer Satisfaction

Decrease

Unnecessary Discounting

Data

Business

Value

Insights

% Change in Revenue Lift

% Change in Average

Order Value

KPIs

% Change in Profit Margin

% Change in

Inventory Turnover

# of Discounts Offered

How can �we improve margins?	Which products should we group together?	Which customer segments do �we target?	How do customer preferences affect propensity to buy?	How do market conditions affect pricing?

Marketing

Decisions

Historical

Purchases

Product

Attributes

Customer

Segments

Account

Promotions

External

Influences

Calendar / Event

Information

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AI-driven demand forecasting�Turning data into insights for future demand�

Improve

Forecast Accuracy

Increase

Customer Satisfaction

Optimize

Inventory Levels

Marketing

Decisions

Historical

Orders

Product

Attributes

Customer

Characteristics

Pricing &

Promotions

Data

Business

Value

Insights

How accurate are our current forecasts?	How can we improve production planning?	How can we improve customer loyalty?	How quick can we respond to market changes?	How can we build more accurate budgets & plans?

External

Influences

Calendar / Event

Information

% Change in

Forecast Accuracy

% Change in

Customer Orders Fulfilled

KPIs

% Change in

Revenue Lift

% Change in �Inventory Turnover

% Change in

Holding Costs

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AI-driven asset management�Turning data into insights for maximum asset health�

Extend

Asset Lifespan

Optimize

Cost Efficiency

Optimize

Inventory Costs

Marketing

Decisions

Historical

Orders

Product

Attributes

Customer

Characteristics

Pricing &

Promotions

Data

Business

Value

Insights

How can we reduce premature replacements?	How can we optimize maintenance?	How can we minimize downtime?	How can we mitigate �asset failures?	How can we better assess asset performance?

External

Influences

Calendar / Event

Information

% Change in

Replacements

% Change in CapEx

KPIs

% Change in

Utilization Rate

% Change in

Asset Failure

% Change in

Cost Savings

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AI-driven product recommendations�Turning data into insights for personalized customer experiences�

Increase

Customer Satisfaction

Decrease Repairs

& Ordering Costs

Data

Business

Value

Insights

$ Change in

Revenue Lift

% Change in Average

Order Value

KPIs

% Change in Conversion

% Change in

Churn Reduction

% Change in Repairs

What products complement each other?	Where can we boost inventory efficiency?	What product substitutes are there?	When can we upsell higher-end versions?	How should we cluster customers?

Increase

Revenue

Location

City, Region, etc

Customer

No., Type, Status, etc

Order

No., Customer No.,

Transaction Type, etc

Inventory

Qty on hand / available /

on order / reserved, etc

Product

Type, Status,

Alternates, etc

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Increasing the effectiveness of your ERP

Enhanced Data Analysis and Insights for ERP:

Infor's solution integrates with ERP systems to provide deeper data analysis and actionable insights. It enables users and executives to make more informed decisions by leveraging the vast amount of data within their ERP systems, transforming raw data into strategic intelligence.

Optimized Resource Management:

The solution helps in optimizing resource allocation and utilization, a core aspect of ERP. By predicting demand, inventory needs, and potential supply chain disruptions, it aids in efficient resource management, crucial for operational excellence.

Strategic Decision Support for Leaders:

The AI-driven insights are particularly valuable for leaders, offering a high-level view of business operations and market trends. This empowers leaders to make strategic decisions that align with long-term business goals and respond effectively to market dynamics.

Automation of Routine ERP Tasks :

Automating routine tasks within the ERP system, such as data entry and report generation, frees up time for users. This allows them to focus on more strategic activities, increasing productivity and job satisfaction.

Risk Management and Compliance Enhancement:

For ERP systems, managing risk and ensuring compliance is critical. The AI solution helps in identifying potential risks and ensuring compliance with regulations, thereby reducing the likelihood of costly errors or legal issues.

Future-Proofing your ERP Systems:

As business environments and technologies evolve, Infor's Augmented Intelligence ensures that ERP systems remain cutting-edge. It adapts and learns continuously, ensuring that ERP users and business leaders are always equipped with the latest tools and insights for decision-making.

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