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Adam Spunberg, Global Director of Tech Exploration

On November 19, APICS (American Production and Inventory Control Society, now known as ASCM, Association for Supply Chain Management) hosted a representative from Anheuser-Busch InBev who specializes in artificial intelligence (AI) and machine learning innovation. The representative, Adam Spunberg, works out of the Newark office and is the global director of tech exploration.

In his position Spunberg monitors and oversees innovation in the supply chain area of the company. Additionally, he focuses on bringing the company together through new technology and using AI to do something spectacular that couldn't be done before. Through his experience, he has learned that innovation is a mixture of having great ideas and then generating support for those great ideas. Anheuser-Busch InBev has four main checkpoints for filtering these innovative ideas: idea prioritization, quality check, zone demand and direct sponsorship.

Idea prioritization focuses on filtering through ideas to find the most prominent and useful for the industry. Quality check ensures that the innovative idea doesn't exist in another company or at another Anheuser-Busch InBev location. Zone demand is analyzing which areas or satellite locations have the need for this innovation. Lastly, direct sponsorship refers to getting the support from the appropriate people needed within the company to move forward.

Building upon these checkpoints, Spunberg was able to share a variety of projects that Anheuser Busch InBev has been pursuing with the use of AI and machine learning. One project has included the use of AI video training. This project uses an online video library that has videos on how to complete every necessary task in the breweries. Using AI, the words spoken in these videos can be broken down into written text that becomes the captions in the video. Additionally, this AI software can translate both the audio and captions into another language.

Additionally, AI is being used to identify packaging defects within the factory assembly lines. This is achieved through a model that quickly snaps pictures of cans flowing through the assembly line. The software is then able to compare these pictures to existing pictures in order to determine if the individual can is in either good or bad quality. This allows the quality checking process for packaging defects to shift from manual labor to a technological feat.

Another use of AI is the advanced process control project, which offers a digital version of a production environment. More specifically, Anheuser Busch InBev replicates the environment of steam generation from a boiler in a model that accounts for the many variables expressed in the real-life environment. Once the digital environment is proven to be accurate to the real-life environment, then the proprietor can test different situations and events in this digital environment.

Spunberg also spoke about AI filtration optimization, which is not only applicable to Anheuser Busch InBev, but also many other companies and students. Anheuser Busch InBev utilizes Microsoft as their cloud computing basis. However, this prevents them from being able to utilize Google cloud and the services Google offers. In order to remedy this, AI has been used to develop new, cutting edge technology that creates an extra gateway layer that can process Google documents and data into Microsoft outputs.

As Spunberg concluded his presentation he emphasized, "Find your humanity in AI" -- highlighting the importance of giving back to less fortunate communities with the power that AI can bring. Using geo systems, Spunberg hopes to be able to optimize routes for the distribution of necessary supplies in third world countries. "Try to think about what you can do to leave your mark on the world and make life better for others."

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Global Director of Tech Exploration Discusses Artificial Intelligence and Machine Learning at Anheuser-Busch InBev - Seton Hall University News &...

According to a report, workers with a Bachelors degree are nowadays losing jobs 5 times more to artificial intelligence (AI) as compared to the past. This new report was revealed by Brookings Institution and has stated that blue-collar jobs like fast food preparation or jobs including machine operations will be more affected by the upcoming technology involving AI as compared to others. The highly-educated and high paying jobs are expected to be affected the most due to artificial intelligence according to the stats revealed by the report. Candidate from Stanford University named Michael Web was the one who analyzed more than 16,000 AI patents and more than 800 job descriptions to analyze the effects of AI to various jobs. The reason behind the AI taking out more jobs is due to the fact that AI technology is taking over jobs that include planning, reasoning, problem-solving and predicting outcomes.According to the study revealed by Brookings, the following are the high-paying jobs that are expected to be affected due to exposure to AI.

Gas plant operators

Administrative law judges, adjudicators, and hearing officers

Political scientists

Nuclear technicians

Chemical engineers

Physicists

Occupational therapists

Is my job more tiresome than usual?

Does my job include any valuable information that could be used to train an AI system?

Is there any specific objective that could replace my job?

Anima says that workers should always develop skills for jobs that also include creativity, uniqueness and also require human interaction.

Read next: The Future Of Artificial Intelligence In Retail

Featured photo: Sorbetto /Getty Images

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Even your Bachelor's Degree can't compete with the latest trend of jobs towards Artificial Intelligence - Digital Information World

Manufacturing plays a central role in the global economy, and its a field where the promise of artificial intelligence (AI) is clear driving productivity, growth and employment.

But with the manufacturing sector among the first to reap the benefits of AI at scale, industrial businesses will also find themselves at the forefront of responding to some of the challenges of AI, from skills and culture, to ethics and responsibility.

It is these responses that will define our collective and individual success. Chris Harries, worldwide manufacturing industry solutions director for Microsoft, took to the main stage at Manufacturing Leaders Summit 2019 to explain more.

He began by charting the start of the First Industrial Revolution when the steam engine first appearance on the scene and changed the course of human history.

Almost everything we understand about how goods are produced, how societies are organised and how economies operate can be traced back to that moment, Harries noted.

Today, we are in the early stages of another technology-driven transformation; the catalyst this time is artificial intelligence (AI).

Harries described AI as a collective term for technologies that can sense their environment, think, learn and take action in response to what theyre sensing and their objectives.

At the granular level, AI can be built into processes we already run today, such as HSE compliance (see image right), as well as to create completely new solutions and capabilities, he continued.

Taken collectively the potential for change is vast, and like the First Industrial Revolution, manufacturing is again leading the way in adopting a new technology to create new products and services, transform processes, and revolutionise productivity.

Unlike with the First Industrial Generation, we wont need to wait a century to feel the full effects.

Over just the past couple of years, AI has already transformed how we work, live, learn, and play in dramatic ways. And the pace of change is accelerating.

The promise of AI in manufacturing hasnt been definitively calculated, with various studies and projections offering a wide spectrum of potential:

With our customers, were seeing the early signs of realising benefits through AI, most often through improved product quality, production and supply chain efficiencies, and the effectiveness of their service operations, Harries explained.

But as the sector starts to reap the benefits of AI, manufacturers also find themselves at the forefront of responding to some of the challenges.

Earlier this year, Microsoft collaborated with author Greg Shaw to publish The Future Computed: AI for Manufacturing.

In researching for the book, Shaw interviewed dozens of customers, policy makers, labor representatives and other stakeholders from around the world to find the story behind the impact of AI on the manufacturing sector and its workforce.

Through the course of these interviews, six themes began to emerge:

1. Manufacturers around the world are already seizing the AI opportunity.

More than that, they are seeing that the value of AI extends beyond productivity to include everything from workplace safety to process efficiencies, predictive maintenance, intelligent supply chains, and higher value, higher quality products.

2. To take full advantage of AI, companies are undergoing a cultural transformation that requires strong, committed leaders and engaged workers who are involved in decisions-making and implementation at every level of the process.

Companies seeing the greatest gains from AI today are those that are embracing change and eliminating the barriers between information systems and people, so they could create a seamless information supply chain that utilises their entire digital estate.

Removing these barriers is just as much about corporate culture as it is about technology implementation.

3. The managers inside production operations who are closest to the workforce care the most about AIs impact on employees.

Their focus on creating a better company translates to a commitment to create safer work environments, and to increasing productivity through providing better opportunities and fewer repetitive and unsatisfying jobs.

And because they put their people first, they are eager to adopt technologies that will have a positive impact on workers.

4. There is widespread optimism that AI will lead to more and better jobs over the long term; but disruption and dislocation are inevitable.

Everyone is concerned that manufacturing will face a significant talent shortage and wonders where the next generation of bright students with the right skills and training will come from.

Therefore, there is a very real need to create a talent pipeline filled with people who have the knowledge and capabilities to fill tomorrows manufacturing jobs.

Businesses, governments, educational institutions and labor organisations will all need to work together to forge new partnerships that are focused on skills and workforce development.

5. Its not just about digital skills, this new generation of technologies will also need a new generation of policies and laws.

It is clear that as manufacturers implement AI into their processes and incorporate it in their products, they are looking for new guidelines and updated legal frameworks that will clarify their obligations and help them anticipate potential issues.

To encourage the adoption of AI technologies in ways that strengthen worker safety, create more jobs, and promote economic growth and national competitiveness, regulators are eager to update existing laws so that they reflect the realities of our digital world.

6. AI is a journey and it will be different for everyone. And deploying AI is fundamentally different than implementing traditional software solutions.

This is not a build once, roll out worldwide technology that can be left in the hands of the IT team. For companies to reap the full benefits, AI systems need to continuously learn.

They must also be trained, monitored, evaluated and improved to guard against unconscious bias, and to avoid privacy violations and safety issues.

To ease the way forward, Microsoft has produced a framework to help companies assess their needs and determine what AI solutions to implement, and when.

This operational model begins at the foundational level for companies that are just beginning to explore what AI really is and how it can help them become a data-driven organisation.

It then moves through increasing levels of knowledge, culture change, and digital expertise until companies reach the level of maturity and tech intensity needed to apply AI ethically, responsibly, and successfully across their organisation.

Earlier this year, Microsoft in partnership with INSEAD also launched the AI Business School, a free, on-demand, masterclass series designed specifically for business leaders to empower them to get results from AI.

The course covers setting an AI strategy, enabling an AI-ready culture, fostering responsible and trustworthy AI, and finally an introduction to the full range of AI technologies that you could use to transform your organisation and ecosystem,

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Manufacturing Leaders' Summit: Realising the promise of Artificial Intelligence - Manufacturer.com