Artificial Intelligence is Here: What You Need To Know How To … Intelligence... · 2018-07-10 · data from advanced Internet of Things (IoT) sensors and maintenance logs as well

Artificial Intelligence is Here: What You Need To Know And How To Make AI Work For You

Joe BarkaiJune 19, 2018

2

@JoeBarkai

Joe Barkai

Find Me: [email protected] | LinkedIn: Joe Barkai | Twitter: @JoeBarkai

Artificial Intelligence and Machine Learning in Asset Maintenance

Promises, Perils and Best Practices

Joe BarkaiJune 19, 2018

Find Me: [email protected] | LinkedIn: Joe Barkai | Twitter: @JoeBarkai 4

It Isn't Magic


POC BuildTest &

ValidateAdoption & Scale

Maintain

Machine Self-learning


Establishing a Baseline

Test and Validation

• Unmanageable number of scenarios, variants and configurations

• Validate against (absent) human knowledge

• The problem with black-box systems


The Problem With Black-box Systems

• Explainability & transparency

• Proving coverage

• Hidden biases




Bad Data Can Corrupt Machine Learning

(But you wouldn't know it…)

We Need Responsible AI

• Algorithmic transparency

• Explainability

• Use machine learning to uncover biases


No novel science or technology of such magnitude arrives without disadvantages, even perils.

Pamela McCorduck“




Scaling AI

Deciphering Trends:

• Configuration / task-specific or an anomaly?

• Normal wear and tear or a looming problem?


Everything Is Changing

• Wear and tear

• Product improvement

• Spare parts policy

• Contractual obligations and SLAs

• Safety and compliance directives

• …



But The Need Is Real

The Growing Knowledge Gap

Containing a Growing Knowledge Gap

• Increased product complexity

• From standard products to mass-customization to customization: many one-off configurations

• New manufacturing methods

• Reliability is a double-edge sword

• Departure of experienced workforce


Formalizing Tribal Knowledge

Systemizing and applying internal and external knowhow and best practices


We assumed engineers know what they were doing and use available tools and know-how.

GE Healthcare“


Lets Get Practical

IoT Cliché Of The Day


Think big, start small, scale fast

Do You Deliver Value?




Source: McKinsey

Be Realistic


Predictive maintenance enhanced by AI allows for better prediction and avoidance of machine failure by combining data from advanced Internet of Things (IoT) sensors and maintenance logs as well as external sources. Asset productivity increases of up to 20% are possible, and overall maintenance costs may be reduced by up to 10%.

Source: McKinsey

“

Technology: More Than Machine Learning…

AI Technologies for Asset Maintenance Applications

• Rule-based Systems

• Model-based Reasoning

• Case-based Reasoning


Be Pragmatic

• Select the right problem and technology

• Focus on business outcomes

• Recognize challenges in validation and scaling

• Domain and data expertise are critical


And Don’t Expect Magic!

To Stay in Touch


@JoeBarkai

JoeBarkai.com

[email protected]

Joe Barkai

(and request presentation slides)

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Artificial Intelligence is Here: What You Need To Know How To … Intelligence... · 2018-07-10 · data from advanced Internet of Things (IoT) sensors and maintenance logs as well