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Industry Insights: Addressing the ’new normal’ in manufacturing

Dominik Wee
Managing Director Global Automotive, Manufacturing and Energy at Google Cloud
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Google Cloud Next 2020
July 14, 2020, Online, San Francisco, CA, USA
Google Cloud Next 2020
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Industry Insights: Addressing the ’new normal’ in manufacturing
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About speaker

Dominik Wee
Managing Director Global Automotive, Manufacturing and Energy at Google Cloud

I’m an experienced global business leader focused on transforming large organizations in the digital age.The key theme for me is bringing together two formerly separate worlds: hardware and software, digital and analog,

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About the talk

We have witnessed unprecedented disruption to a strong economy and our daily lives. This has included dropping oil prices, record unemployment, demand uncertainty, supply chain disruption, major austerity measures, unprecedented government intervention and unstable credit markets.

What does this mean for the manufacturing industry that relies so heavily on market stability and consistency? What measures can be implemented to support short-term business continuity and also ensure long-term breakthrough optimization? History tells us that the short-term measures implemented during global crises turn into fundamental social and economic shifts that last for generations.

What emerges is a “new normal” and never before has technology been so integral in accelerating these trends. In this Industry Spotlight, we explore how the manufacturing industry is addressing these challenges and the role of technology in the “new normal”.

Speaker: Dominik Wee

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Hi, I'm Dominic we and I did Google Cloud industry Solutions, team for manufacturing and Industrial. Manufacturing companies on the Detroit transformation, Journey company's range from small highly specialized players to Global conglomerates yapping industry-specific Solutions, ravaging Google unique AI in infrastructure capabilities. Our customers, as well as the ability is that you can range from a suite of calibration to be swayed to Cloud infrastructure in the eye to specialized Hardware

such as Google glass etching machine learning accelerator Coral. In addition to his efforts, be partners meeting technology, provided in the manufacturing space. Today, I would like to discuss it with lost perspective on manufacturing or the covid-19 pandemic impact the industry for short and long-term and how is he technology happened in Sri fund, bacaba, and remagine is an industry with a lot of history isn't the first time in the next thing as experience. Reflect the changes or treaters adversities have shown. Is that wise, text me? If you temporary each of these Global

challenges and accelerated emerging Trends and changes to the industry of women in the workforce. In fact between 1940 and 1945 to get FEMA labor cost to buy 60% to a height of 20 million The 9/11 attacks guimond of hardening of physical assets, including X-rays and refining, operations, and the recent financial crisis. Accelerate the transition to low-cost countries for manufacturing. Which lasting change to expect coming out of the truck destruction? The immediate change, most of us are

currently going through its increased health and safety requirements for many jobs. Have you seen a dramatic of Jacob habitual collaboration tools? Including companies that are using these Technologies for the first time at scale? Many customers tell us that they were a working with fundamentally change beyond the current situation. However, we believe the deeper more profound changes. I had to come by the past decades have been characterized by manufacturer, moving one, more lower classifications. Even if we see a reversal of the strength,

This would have a profound impact on the entire manufacturing. Echosystem acceleration of Automation and instrumentation. Prevent old women infection caused from increasing. Tokyo prefecture, sweet. Also need to Anna mentele. Restructuring of the site changed to an even more diversification and localization in mastering those changes, we need to consider the industry's current situation transforming and manufacturing company, is more involved than simply changing Westside, man. Competitively the principal gases of the different nature. His

physical assets, bring along their own operation Technologies, text often encounter Pittsburgh of Legacy. System are both ready for the business continuity, as well, as very costly to maintain and modify you can see the effects of have to prepare. Change. One company, that has persisted through times of hardship, ever since its founding in 1899 is our partner Avenue. Through this most recent prices. When do you use the 3D printing, injection, molding capabilities, to, with more than 200,000 face, shields for hospitals, and retirement centers in communities near

Global manufacturing facilities and the community to Pivot from green, to Medical certification for matching hat and ventilators in just six weeks. I'm very excited to Eric Mathew Lowell. A note video for industry 4.0 with us today. Herrick thanks so much for joining us today and take your time to have this conversation with us. Thank you very much for giving me the opportunity to explain our strategy is a very large and complex organization of Technology play in helping you scale operation the planets and the many

many, many plants. And in order plants we are extracting data from our equipment and bring those that are too large store of the ocean. And a real time access is a really big Challenge and the quantity of daughter is quite huge. We we have a house of billions of events that we we called each day. You know what? All plants. And we need to use those data on a real-time basis to improve our operation for a How do you use for predictive maintenance? All4cycling

optimization? How are you using data outside the four walls of the Pick 3? For instance, in your supply chain supply chain is very expensive in the automotive and across the planet. So being able to track and Trace or all parts from Owosso but not on it, you want suppliers but also what you have to do with your free suppliers and the bringing this information in real-time nuts. Like we we've done by the past and I would say at the end of the week or the end of the month Museum and every bring

the data in real-time he's no worse again, Ginger. So I guess you didn't know what that was taken by the plant managers or an additional director is taken directly by a technician or an engineer in directing the field before. The problem is to be and it is really important and it was doing Mindset change that I get ringing in real time is giving us what we need for. I would say yes to all three bags, each other activities. The first one is for Quincy controller. With with camera, ask me where, using, from long time ago, I was a

vision cameras for Budget cost, a lot of money because we do each, I will change the traditional way of implementing those stations. And now, with machine learning and the simple, the simple device we are able to devise occur as a grocery buy Tanner for implementation of those quality control. And also what is very important is the time to implement those devices is also completely. Difference in one case you have a traditional industrial project and you will need about 1 year through to from the decision to the implementation in machine

learning. And I would say you're under shelf technology. We can Target first implementation in less than 1 month and a generation into two or three months from Mexico area. Another, another topic about machine learning is about 2 in LG optimization, in our paint shops. So how we can give her the data we have from our equipment, but also from outside from what's the humidity and information to process in a real time is the best process parameters for Energy savings in our

pain shot and we believe that we can have sitting between 10 to 20% of energy cuz you know, I pronounce weaves with machine learning Technologies. Thank you Eric, that has been incredibly insightful. Thanks so much for taking the time and joining us today. It's inspiring to hear how aniconic manufacture like to know is continuously innovated for more than a century and will continue to do so. Noticed talked about how good sound is working within the manufacturing industry. That's three main areas in which we engage with our customers. First

human tanning, business continuity, has been on top of my customers and the expected. Secondly, operation optimization the next level of efficiency using digital tools. 30 openness and integration across o t n, i t e. R means you want to meet up with customers where they are the Embrace of complexity of its customers mission-critical data and systems on their own premises in. Maintaining hasn't safety in the workplace. We have customers achieve business continuity, draw better collaboration tools. This man, a German manufacturer of industrial refrigeration systems

was able to keep up its productivity suite and then converting, please remote work within 48 Hours than 60,000, Google meet you at the gate is the impact on time. Often planning board taking the previous year's fans as a reference in making incremental adjustments. Can you give me the current volatility? This approach breakdown in many cases? A state-of-the-art machine learning capabilities combined, with our collaboration tools, we can help manufacturers position to a more agile training regime. William Warnock turn signals or approach the average experiences we have made in areas such as

retail manufacturing in California design, then the manufacturer of high-quality wedding products. Customer experience and Optimus forecast in your purse. In to install achieved, an increase of 95% of forecast, accuracy and reduce inventory. Carryovers by 50 Cent second lead to an appropriate optimization. Continuous Improvement is the light, lot of manufacturing, for more than a century in such, as the introduction of the assembly line in 1913 mass production and more recently mean

higher return on investment for a Time. Question is, what can be the next accelerate of optimization manufacturing? We believe that artificial intelligence is the potential to pay the drawing. Artificial intelligence or AI has reached a level of maturity, but it's become an essential ingredient in many of our consumer product, for infants, and how we improved, our shoes are missing menu for missing application of these capabilities in manufacturing and we believe that the increased push on Automation and its relation

mentioned before, will accelerate the application of the ice skating rink. A great example of the I use it. Amy and Beth and Beth makes bus 630 p.m. in. 150 countries. Still use our technology to reduce costs and improve quality by optimizing the beer. Filtration process with much greater accuracy, another great area that illustrates this particular quality control. Today, the manufacturer of many products from cookies windmills require as many air quality control processes of one's very expensive automation with visual inspection. You can also simply

cost-effective on so he's applied at agcns. One of the world's most recognizable electronic brands on machine learning model 9.9% effective, techno display panels The machine learning model runs on. The Exodus is 0.8 seconds for each and every display. What's special about our approach to wish inspecting. I think the easy to deploy and use the number of images required training new models produced. It's a problem with you. For Jason use cases in the recent report. Do you wait for computer

vision platforms that can do the most for the most from business users to developers and data scientist that all of them can use last name coming to open it in a depression from Odeon icing measurements. The combination of making technology work in the manufacturing environment is the ability to scale up from an initial pilot. I'm not lying to challenge its complexity of the existing. I want to come here or even hundreds of the office from Netflix to integrate. IT Crowd on Friends environments devices, our own cloud, as well as other

clouds are only access to leverage existing investments in. It infrastructure without a chaser is leading manufacturer of compressed air and vacuum products and forced to combine this date of this machine data and right unique inside the process Enterprise, as well as Freedom customer data in real-time tracking my service. Additionally, without support for o p t. U a, a machine to machine communication protocol. For Industrial Automation, you can you tell Victory machine data in Google Cloud to facilitate advancement affecting inside as well to control and Montauk production

processes. Our support for OPC UA is aligned with our commitment to Open Standards in interview, bility between machines and systems to enable Advanced AI upper intestines as adopted at the company's standard for machine-to-machine, communication Monroeville, post retrofit existing machine as well as purchase new August, you are capable as to establishing a data management platform. They don't Google Cloud to standardize the data model. Describing operations globally, To recap companies around the world.

Biggest mall in three main ways operations into City, taking over as an integration across OT and height. In Martin's more attention.

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