IBM on AI in Manufacturing @ 2nd Smart Manufacturing Forum Berlin

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I gave this keynote on June 12th at the 2nd smart manufacturing forum in Berlin addressing a crowd manufacturing OEMs driving excellence on the plants.

AI - Moonshot for the Enterprise!?
A Manufacturing Point of View
—
Thorsten Schröer
Director Automotive & Electronics
June 2019

“AI is like teenage sex:
@danariely
Twitter, 2013
everyone talks about it, nobody really knows how to do it, everyone
thinks everyone else is doing it, so everyone claims they are doing it....”

IBM System 360 - 1969
Neil Armstrong first human to step on the moon.

IBM Deep Blue - 1997
Gary Kasparov beaten by a machine

IBM Watson - 2011
Ken Jennings beaten by computer in Jeopardy clash

Neil Armstrong, Gary Kasparov, Ken Jennings
New computer era opens new ways of working

MIT Sloan Management Review 2018
% of companies with AI in offerings and processes

No Data no Party
There is no AI with no IA (Integrated Architecture)

Ethics, Trust and Bias in AI
EU Ethics Guidelines for Artificial Intelligence

80
Countries
16.000+
Engagements
20
Industries
IBM AI Projects

Data Ownership, Industry Process Skill, Security & Trust
Consumer AI vs. Enterprise AI

Mother of all Factory Automation in Europe 1983
Volkswagen opens Hall 54 in Wolfsburg

AI in Manufacturing
Use cases to optimize operations

RoboticsX X1-Grid & Watson Anomaly Detection
Machine Learning predicts failure of industrial robot

Watson Visual Inspection
Machine Learning identifies defects on phones

Watson “Ears” with Acoustic Analytics
Machine Learning predicts failures

Watson “Ears” with Acoustic Analytics
With >97% accuracy determine abnormality of
industrial robot arc welding process.

Visual Insights, Predictive Maintenance, Acoustic Insights, Maximo Advisor
Combination of Watson Services

Watson in Space 2018
ISS says hello to world's first AI companion in space

Gary Kasparov, TED 2017
Don't fear intelligent machines. Work with them!

IBM on AI in Manufacturing @ 2nd Smart Manufacturing Forum Berlin

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Artificial intelligence has a long history dating back to ancient inventors but has seen major advances in recent decades. Modern AI aims to mimic human cognitive abilities like learning, problem solving, and language processing. Notable developments include IBM's Deep Blue beating a chess champion in 1997 and Stanford's self-driving car winning a 2005 race. Rapid progress is predicted in fields like healthcare, transportation, and customer service using AI technologies like machine learning and autonomous robots and vehicles. However, concerns remain about potential economic and social impacts as AI capabilities continue to grow.

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New technologies are bringing major changes our way: robots, drones, Internet of Things. Big data will change the way we look at society, create new business models, and cause even more disruptive innovations. Choose the session ‘Trendz! On to 2030’ and get ready to offer your customers, contacts, staff, or visitors the unique opportunity to get a glimpse into future trends. More info: richardvanhooijdonk.com

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The document discusses the future of agriculture and how technology will transform farming. It predicts that by 2030, robots will take over many agricultural jobs like harvesting, spraying, pruning, weeding, driving and milking. Sensors and drones will be used to precisely map and analyze fields, greenhouses and orchards. Farmers will be able to manage their entire operations remotely using computers and smartphones. This technological disruption provides both challenges and opportunities for the future of agriculture.

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This document discusses various trends affecting strategic planning, including rapid technological change, the rise of startups valued over $1 billion without owning traditional assets, and the growth of peer-to-peer lending. It notes that the peer-to-peer lending market is expected to grow from $26 billion in 2016 to nearly $900 billion by 2024. Specifically, it compares traditional banks like Wells Fargo to newer peer-to-peer lending platforms like Lending Club, noting that while Wells Fargo's average loans were $885 billion and up 7%, Lending Club's were $20 billion and up 100%, with a lower operating expense ratio of 1.98% compared to Wells Fargo's 5.63%.

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