AI/ML use cases - Event Series

Real AI/ML projects in Financial Services, Energy, Manufacturing, Retail, Healthcare, Government, Logistics, Transportation, Smart Buildings, Smart Cities, Legal, Compliance and HR


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AI/ML Applications Event Series

Artificial intelligence (AI) and Machine Learning (ML) has become a crucial part of daily human lives today and it assists in almost every scenario — whether you realize it or not.

To make sure you get the most practical use out of realized project stories we will have for many industry verticals specialized events. Stay tuned for more to come or get in touch if you want to propose a focus area.


In the media

10 Powerful Examples Of AI Applications

14 Applications Of Artificial Intelligence That You’ve Never Even Thought Of

Everyday Examples of Artificial Intelligence and Machine Learning

Events

Financial services

Date: 8. November 2019

Location: Zürich


Deadline: September 2019

So far, Artificial Intelligence (AI) and Machine Learning (ML) applications have been mainly known by, and invested in, by the technology giants (Amazon, Google, Facebook, Baidu, Tencent …).

Now, there are signs of interest and adoption of AI/ML in banking and other financial sectors. As usual, the US banks are in the vanguard, but these trends will be looked at worldwide.

Unfortunately, much hype has been produced in this space and lots of smoke and mirror claims have been made.

We think an event with a no-nonsense approach and highly focused content is important.

It is, therefore, important for us to only showcase working projects and leave the hype in the past.

The event will showcase the most typical AI/ML applications in banking and financial services, and also will surprise with new ones.<

In the media

AI in Banking – An Analysis of America’s 7 Top Banks
The $450B opportunity for the applications of artificial intelligence in the banking sector & examples of how banks are using AI
AI in banking: the reality behind the hype


Close
Event Details
Energy

Date: 05. December 2019

Location: Zürich


Deadline: October 2019

Many of the companies are using AI to do things such as slash energy use in buildings, monitor powerlines and pipelines, and predict when energy gear might fail. Technology that can help energy companies better predict how their energy infrastructure will perform or when it will need maintenance was a big theme.

“AI and machine learning are tools that can apply across the board for the energy sector.”

Subjects

AI/ML uses cases in energy forecasting, smart grid, smart meter, energy storage

In the media

Here's why energy companies are adopting AI
Artificial Intelligence for Energy Efficiency and Renewable Energy


Close
Event Details
Retail

Date: 16. January 2020

Location: Zurich


Deadline: November 2019

Artificial intelligence in retail is being applied in new ways across the entire product and service cycle—from assembly to post-sale customer service interactions, but retail players need answers to important questions:

Which AI applications are playing a role in automation or augmentation of the retail process? How are retail companies using these technologies to stay ahead of their competitors today, and what innovations are being pioneered as potential retail game-changers over the next decade?

In the media

Artificial Intelligence in Retail – 10 Present and Future Use Cases
6 Real-World Applications of AI in Retail


Close
Event Details
Manufacturing

Date: 30. January 2020

Location: Zurich


Deadline: November 2019

Artificial intelligence technology is now making its way into manufacturing, and the machine-learning technology and pattern-recognition software at its core could hold the key to transforming factories of the near future.

While AI is poised to radically change many industries, the technology is well suited to manufacturing, says Andrew Ng, the creator of the deep-learning Google Brain project and an adjunct professor of computer science at Stanford University.

“AI will perform manufacturing, quality control, shorten design time, and reduce materials waste, improve production reuse, perform predictive maintenance, and more,” Ng says.

In the media

Artificial Intelligence Transforms Manufacturing
Machine Learning in Manufacturing – Present and Future Use-Cases
10 examples of ai in manufacturing to inspire your smart factory


Close
Event Details
Government

Date: February 2020

Location: Bern


Deadline: December 2019

Can cognitive technologies do government employees’ thinking for them? Not quite—at least not yet. But right now, AI-based programs can help agencies cut costs, free up millions of labor hours for more critical tasks, and deliver better, faster services.

And the public sector is seeking—and finding—applications to improve services; indeed, cognitive technologies could eventually revolutionize every facet of government operations. For instance, the Department of Homeland Security’s Citizenship and Immigration and Services has created a virtual assistant, EMMA, that can respond accurately to human language. EMMA uses its intelligence simply, showing relevant answers to questions—almost a half-million questions per month at present. Learning from her own experiences, the virtual assistant gets smarter as she answers more questions. Customer feedback tells EMMA which answers helped, honing her grasp of the data in a process called “supervised learning.”

In the media

AI-augmented government
5 challenges for government adoption of AI


Close
Event Details
Logistics / transportation

Date: March 2020

Location: Basel


Deadline: January 2020

Global providers, such as Amazon, take great care to ensure high-level delivery services and first-class customer experience. To fulfill these goals, logistics and supply chain business owners give much attention to back-office automation. They delegate repetitive and detail-oriented tasks to robots and then to an artificial mind.

Machine learning makes AI capable of accumulation knowledge based on human decisions, make judgments and interact with humans. Other less complicated tasks can be completed with the help of robotic process automation (RPA).

RPA-powered systems are rule-based and can help automate mundane tasks. Among these tasks are accessing shipping data, filling in some invoices and web forms, distributing data to the right database. Finally, the data becomes accessible to AI.

In the media

AI in Logistics: Data-Driven Shifts to Boost Your Business
The Top 5 Changes That Occur With AI in Logistics


Close
Event Details
Healthcare

Date: April 2020

Location: Winterthur


Deadline: February 2020

AI is getting increasingly sophisticated at doing what humans do, but more efficiently, more quickly and at a lower cost. The potential for both AI and robotics in healthcare is vast. Just like in our every-day lives, AI and robotics are increasingly a part of our healthcare eco-system.

In the media

No longer science fiction, AI and robotics are transforming healthcare
How AI Is Transforming The Future Of Healthcare Industry


Close
Event Details
Smart City AI/ML projects realized

Date: May 2020

Location: Zurich


Deadline: March 2020

From traffic infrastructure and administration to social credit, AI and big data are not mere behind-the-scenes tools; those technologies are the tools to power smart cities and ensure a better quality of life for individuals and businesses.

Tomorrow’s smart cities will be seamless. Instant information about health services, transit options, safety alerts, and community news will be at our fingertips. Smart city spaces are only smart because of how artificial intelligence (AI) and big data technology are used purposefully.

In the media

Smart Cities: The uses of AI in smart city spaces are limitless
How AI is transforming the Smart Cities IoT?
Smart City Artificial Intelligence Applications and Trends


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Event Details
Use of AI/ML to create Smart Buildings

Date: April 2020

Location: Baden or Zug


Deadline: February 2020

The recent proliferation of IoT devices and their convergence with cloud-based technologies is making it easier to generate data about building performance – creating a prime opportunity for building owners to apply AI and ML to make critical operational and financial decisions.

Buildings today have evolved into complex connected technological systems that can be operationalized to maximize efficiencies such as cost-savings or improve worker productivity and occupant comfort.

In the media

How to use AI and ML to create a smart building
How AI Is Making Buildings Smart And Intelligent


Close
Event Details
Legal, Compliance & HR

TBA



Speakers

Ralf Haller

President, CEO

High-Tech Connect Suisse &
R. Haller IT Marketing

I have been bringing ideas to life for more than 25 years in varying roles such as marketing, project management, and business development. With a focus on I.T., I specialize in helping companies develop products and bring them to market using proven marketing and business development strategies.

I have local and global business development experience, and bring depth to any project that I work on.

I am passionate about bringing together new ideas, high tech, and entrepreneurship. This has led me to teach "Global Innovation Ecosystems" at universities, where we explore how high-tech can breed new ideas in today's world and how it can be marketed globally. It has also led to me create, and head as President, the non-profit "High-Tech Connect Suisse" association, which encourages high-tech business development. I have organized 150+ high-tech business events in Switzerland and organized 15+ trips to Silicon Valley.

If you are interested in what I do and wish to connect with me for business or other opportunities, let's connect.

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The event has an entrance fee of 490 CHF.