ARTIFICIAL INTELLIGENCE DEMYSTIFIED06 of 09

What is Artificial Intelligence (AI)?

AIML

DL

Creating machines that have certain qualities of the human mind, such as the ability to understand language, recognize pictures, solve problems, and learn.

Machine Learning (ML)[mәˌʃiːn ˈlɜː(r)nɪŋ]

Deep Learning (DL)[diːp ˈlɜː.nɪŋ]

Artificial Intelligence (AI)[ˌɑː.tɪ.fɪʃ.әl ɪnˈtel.ɪ.dʒәns]

ML is a subset of AI. Training of computer systems with data to effectively perform specific tasks (e.g. decisions) without explicit instructions.

A type of ML that uses deep neural networks, operating similar to the way the human brain is structured.

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We help you to navigate through the myths of AI, based on our broad experience – our goal:separate hype from facts!

What is TRUE and

what is NOT?

… the MYTHs you hear about AI all the time (to be continued…):

AI IS THE SOLUTION TO MOST OF YOUR CHALLENGES

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AI IS ONLY FOR GIANT COMPANIES WITH BIG INVESTMENTS

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AN ALGORITHM IS ALL YOU NEED

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FOR AI YOU NEED A GIGANTIC AMOUNT OF DATA

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AI AND YOUR (LEGACY) SYSTEMS WERE MADE FOR EACH OTHER

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AI APPLICATIONS DEVELOP AND RUN THEMSELVES (FOR FREE)

AI IS THE SOLUTION TO MOST OF YOUR CHALLENGES

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THE TRUTH IS……many challenges do not (yet) qualify for a replacement or solution by AI.

Despite its huge potential, we often experience technical & cultural barriers when implementing AI.

AI IS THE SOLUTION TO MOST OF YOUR CHALLENGES

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AI IS THE SOLUTION TO MOST OF YOUR

CHALLENGES

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AI IS RECOGNIZED AS A PACE-MAKING TECHNOLOGY FOR THE AUTOMOTIVE INDUSTRY. However, our clients still face significant challenges, i.e. due to increasing complexity of products & services, while trying to deliver the best customer experience. At the same time, structured solutions to tackle these problems are often lacking. We experience that the gap between traditional ways of approaching these challenges and modern agile methods is amplified by cultural unpreparedness.

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AS A RESULT, our clients approach us with multiple ideas that involve varying levels of knowledge and expectations about AI. In order to identify how this technology can create benefits, such as increased efficiency, cost-reduction or enhanced customer experience, proper scoping is key.

TOGETHER WITH OUR CLIENTS, we therefore begin every project that (may) involve AI components with a holistic assessment of the situation. We pinpoint the key parameters that are involved in the particular problem, such as the use case, processes, people to be involved, data availability and technical feasibility. This enables us to evaluate if AI technologies may be a solution for a specific use case or not. We are convinced that there should be no AI application just for the sake of AI.

At , we help you to scan your business for its AI potential

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AI IS ONLY FOR GIANT COMPANIES WITH BIG INVESTMENTS

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THE TRUTH IS……thanks to Google, Amazon & others, there are lots of open source tools for everybody to build machine learning models – they enable even small teams to create AI applications with business impact.

AI IS ONLY FOR GIANT COMPANIES WITH BIG

INVESTMENTS

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AI IS ONLY FOR GIANT COMPANIES

WITH BIG INVESTMENTS

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AS PART OF OUR PROJECTS, we use various open source tools to develop production-grade AI solutions that create a significant business impact for you. This allows a fast product scaling without being prone to vendor lock-in.

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GOOGLE, AMAZON, ALIBABA & CO. HAVE PUT AI AT THE CORE OF THEIR BUSINESS TO CREATE SERVICES FOR CUSTOMERS that could not have been envisioned 10 years ago.

They have hundreds of data scientists and machine learning specialists working restlessly to maintain this competitive edge. At first glance, one would think that these companies keep this know-how exclusively in-house. But in fact, some of them released pieces of their software solutions to the public, in order to increase their development speed by leveraging the global open source community.

Examples of these solutions are deep learning libraries TensorFlow (from Google) and PyTorch (from Facebook). With these open source solutions, even small companies (with suitable AI domain-expertise) can enter the field of AI with limited ramp-up.

To scale fast and prevent vendor lock-in, we use open source software in our AI applications

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AN ALGORITHM IS ALL YOU NEED

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THE TRUTH IS……you will need (way) more than an algorithm to harvest the results you want –especially in a corporate setting!There are no results without data, storage and intuitive visualizations.

AN ALGORITHM IS ALL YOU NEED

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AN ALGORITHM IS ALL

YOU NEED

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AN ALGORITHM IS FOR SURE THE CENTER PIECE IN ANY AI APPLICATION, but there are many more components involved.

Just to name a few, you will need: the right kind of data in a suitable quality, a high-performance storage system, a learning pipeline to try out different machine learning models, a deployment concept into your production system, and a frontend visualization tool to see the results. After all, do not forget about the supporting processes (i.e. integration into legacy systems) that may be needed to deliver overall business impact.

Only when all these components come together, you will be able to create an AI application that delivers an actual benefit.

IN OUR PROJECTS WE EMPLOY A HOLISTIC APPROACH that takes all of these aspects into account and enables us to build a solution that is tailored to your particular business need. We can either focus on and provide parts of it (e.g. an algorithm) or make sure that everything – from data cleansing to the frontend visualization – is in place for the success of your AI solution.

AI works well only in a holistic application – we will take care of it all: from data quality to frontend & beyond

FRONTEND

INTELLIGENCE

PLATFORM

DATA

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FOR AI YOU NEED A GIGANTIC AMOUNT OF DATA

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THE TRUTH IS……it’s kind of true.

Of course you will need data. But remember: Your data lake is only as valuable as the quality of its sources…

FOR AI YOU NEED A GIGANTIC AMOUNT OF DATA

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FOR AI YOU NEED A GIGANTIC AMOUNT

OF DATA

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IT IS CORRECT THAT AI APPLICATIONS ARE DRIVEN BY THE DATA YOU FEED INTO THEM. But it’s not only about the quantity of data, but even more about its quality. Real-life data is usually dirty, i.e. it contains missing or invalid values, because of the way it was generated. Bad data won’t be fixed by a smart algorithm; therefore, data cleansing is a crucial step in the creation of an AI application.

Also, even though there might be a lot of information in your data lake, you probably don’t have the right kind of data to answer the business question you are interested in.

USING METHODS SUCH AS GAMIFICATION, we develop novel and innovative data collection strategies for our clients, where we define data requirements, identify potential sources and create methods to integrate this data into the whole solution. We always start off with the problem rather than the data when defining use cases for AI applications.

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GAMIFICATION

DATABASE

We identify the right data, generate it and ensure its quality e.g. by using gamification methods

“WHICH CAR IS SPORTIER?”

AI AND YOUR (LEGACY) SYSTEMS WERE MADE FOR EACH OTHER

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THE TRUTH IS……this one can go both ways; but most of the time, “less” interaction with legacy IT ”is more”.

AI AND YOUR (LEGACY) SYSTEMS WERE MADE FOR

EACH OTHER

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AI AND YOUR (LEGACY) SYSTEMS WERE MADE FOR

EACH OTHER

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THEREFORE, WE CONNECT OUR SOLUTIONS WITH LEGACY SYSTEMS WHEREVER NECESSARY BUT AS LITTLE AS POSSIBLE. By using modern REST-API interfaces we connect legacy systems with our cloud-based AI components (using services from Google Cloud, Amazon Web Services (AWS) or Microsoft Azure). By following this approach, we guarantee a fast and scalable implementation of AI applications while maintaining the reliability of existing legacy systems.

LEGACY SYSTEMS OFTEN FORM THE BACKBONE OF A COMPANY’S IT SYSTEM AND THEY ARE MISSION-CRITICAL FOR ALMOST ALL BUSINESS OPERATIONS.

From our experience, this often makes the integration of modern AI applications difficult. Because machine learning models are continually improved and need to be deployed frequently. Legacy systems are usually limiting factor in terms of flexibility and time of implementation.

Integrate legacy systems wherever necessary, but as

little as possible

SYSTEMS

FRONTEND

INTELLIGENCE

PLATFORM

DATA

SYSTEMS

For scalable applications we use common cloud service solutions

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AI APPLICATIONS DEVELOP AND RUN THEMSELVES (FOR FREE)

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THE TRUTH IS……be prepared for both: initial development and ongoing costs!

After all, your vehicle needs gasoline (or electricity), too.

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AI APPLICATIONS DEVELOP AND RUN THEMSELVES

(FOR FREE)

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AI APPLICATIONS DEVELOP AND RUN

THEMSELVES (FOR FREE)

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DEVELOPING AN AI APPLICATION IS NOT A ONE-TIME EFFORT BUT A CONTINUOUS PROCESS.

For example, your machine learning models only improve over time, as more data is available, and you always need to make sure that the most up-to-date version of your algorithm is available to provide best results. Moreover, these applications usually are cloud-based, which create lower, but ongoing costs involved to cover storage, compute-time and availability.

WHEN YOU THINK ABOUT DEVELOPING AN AI APPLICATION you should take all of these factors into account and rely on a business case where the benefits outweigh the costs. Therefore, we provide a transparent overview of costs, starting with initial costs of concept & development, all the way to the ongoing costs for operations once the application is deployed.

Make sure you can rely on a business case where benefits outweigh costs

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Concept Development Rollout Usage

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Stay tuned for more myths… Follow our LinkedIn page for more insights as we release myths week by week

And in the meantime?TALK TO US ABOUT AI!

Please click the picture above or follow this link: https://www.linkedin.com/company/berylls-digital-ventures

Our Mission

At we put artificial intelligence at the core of our

business: we focus on data-driven value creation in the automotive industry.

Berylls Digital Ventures Berlin (HQ)c/o mindspaceFriedrichstrasse 6810117 BerlinT +49 (0)30 217 82 116

Berylls Digital Ventures MunichMaximilianstrasse 3480539 München

Berylls Digital Ventures Shanghai555, Wuding Road, Jing’an DistrictRoom 201, Floor 2200041 Shanghai

info@berylls.digitalwww.berylls.digital