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We collect data from third parties, such as Facebook, LinkedIn and through
other public sources. This is referred to as “Sourcing” and be manually
performed by our employees or automatically in the Service.
In some cases, existing employees can make recommendations about potential
applicants. Such employees will add personal data about such potential
applicants. In the cases where this is made, the potential applicant is
considered a User in the context of this Privacy Policy and will be informed
about the processing. | scraping/output/-5576522641546504031.txt | [
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The types of personal data collected and processed
The categories of personal data that can be collected through the Service can
be used to identify natural persons from names, e-mails, pictures and videos,
information from Facebook and LinkedIn-accounts, answers to questions asked
through the recruiting, titles, education and other information that the User
or others have provided through the Service. Only data that is relevant for
the recruitment process is collected and processed.
Purpose and lawfulness of processing
The purpose of the collecting and processing of personal data is to manage
recruiting. The lawfulness of the processing of personal data is our
legitimate interest to simplify and facilitate recruitment.
Personal data that is processed with the purpose of aggregated analysis or
market research is always made unidentifiable. Such personal data cannot be
used to identify a certain User. Thus, such data is not considered personal
data. | scraping/output/-5576522641546504031.txt | [
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The consent of the data subject
The User consents to the processing of its personal data with the purpose of
Controller’s handling recruiting. The User consents that personal data is
collected through the Service, when Users;
* make an application through the Service, adding personal data about themselves either personally or by using a third-party source as Facebook or LinkedIn, and that Controller may use external sourcing-tools to add additional information; and
* when they use the Service to connect to Controller’s recruitment department, adding personal data about themselves either personally or by using a third-party source such as Facebook or LinkedIn.
The User also consents to the Controller collecting publically available
information about the User and compiles them for use in recruitment purposes. | scraping/output/-5576522641546504031.txt | [
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The User also consents to the Controller collecting publically available
information about the User and compiles them for use in recruitment purposes.
The User consents to the personal data being collected in accordance with the
above a) and b) will be processed according to the below sections Storage and
transfer and How long the personal data will be processed.
The User has the right to withdraw his or her consent at any time, by
contacting Controller using the contact details listed under 9. Using this
right may however, mean that the User can not apply for a specific job or
otherwise use the Service. | scraping/output/-5576522641546504031.txt | [
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Storage and transfers
The personal data collected through the Service is stored and processed inside
the EU/EEA, or such third country that is considered by the European
Commission to have an adequate level of protection, or processed by such
suppliers that have entered into such binding agreements that fully complies
with the lawfulness of third country transfers or to other supplies where
adequate safeguards are in place to protect the rights of the data subjects
whose data is transferred. To obtain documentation regarding such adequate
safeguards, contact us using the Contact details listed in 9. | scraping/output/-5576522641546504031.txt | [
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How long the personal data will be processed
If a User does not object, in writing, to the processing of their personal
data, the personal data will be stored and processed by us as long as we deem
it necessary with regards to the purposes stated above. Note that an applicant
(User) may be interesting for future recruitment and for this purpose we may
store Users’ Personal Data until they are no longer of value as potential
recruitments. If you as a User wish not to have your Personal Data processed
for this purpose (future recruitment) please contact us using the contact
details in paragraph 9.
### 3\. Users’ rights | scraping/output/-5576522641546504031.txt | [
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### 3\. Users’ rights
Users have the right to request information about the personal data that is
processed by us, by notifying in writing, us using the contact details below
under paragraph 9 below. Users have the right to one (1) copy of the processed
personal data which belongs to them without any charge. For further demanded
copies, Controller has a right to charge a reasonable fee on the basis of the
administrative costs for such demand.
Users have the right to, if necessary, rectification of inaccurate personal
data concerning that User, via a written request, using the contact details in
paragraph 9 below.
The User has the right to demand deletion or restriction of processing, and
the right to object to processing based on legitimate interest under certain
circumstances. | scraping/output/-5576522641546504031.txt | [
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The User has the right to demand deletion or restriction of processing, and
the right to object to processing based on legitimate interest under certain
circumstances.
The User has the right to revoke any consent to processing that has been given
by the User to Controller. Using this right may however, mean that the User
can not apply for a specific job or otherwise use the Service.
The User has under certain circumstances a right to data portability, which
means a right to get the personal data and transfer these to another
controller as long as this does not negatively affect the rights and freedoms
of others.
User has the right to lodge a complaint to the supervisory authority regarding
the processing of personal data relating to him or her, if the User considers
that the processing of personal data infringes the legal framework of privacy
law.
### 4\. Security | scraping/output/-5576522641546504031.txt | [
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### 4\. Security
We prioritize the personal integrity and therefore works actively so that the
personal data of the Users are processed with utmost care. We take the
measures that can be reasonably expected to the make sure that the personal
data of Users and others are processed safely and in accordance to this
Privacy Policy and the GDPR-regulation.
However, transfers of information over the internet and mobile networks can
never occur without any risk, so all transfers are made on the own risk of the
person transferring the data. It is important that Users also take
responsibility to ensure that their data is protected. It is the
responsibility of the User that their login information is kept secret.
### 5\. Transfer of personal data to third party
We will not sell or otherwise transfer Users’ personal data to third parties.
We may transfer Users’ Personal Data to; | scraping/output/-5576522641546504031.txt | [
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### 5\. Transfer of personal data to third party
We will not sell or otherwise transfer Users’ personal data to third parties.
We may transfer Users’ Personal Data to;
* our contractors and sub-contractors, acting as our Processors and Sub-Processors in accordance with our instructions, for the provision of the Service;
* authorities or legal advisors in case criminal or improper behaviour is suspected; and
* authorities, legal advisors or other actors, if required by us according to law or authority’s injunction. | scraping/output/-5576522641546504031.txt | [
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We will only transfer Users’ personal data to third parties that we have
confidence in. We carefully choose partners to ensure that the User’s personal
data is processed in accordance to current privacy legislations. We cooperate
with the following categories of processors of personal data; Teamtailor, who
supplies the Service, server and hosting companies, e-mail reference
companies, video processing companies, information-sourcing companies,
analytical service companies and other companies with regards to suppling the
Service.
### 6\. Aggregated data (non-identifiable personal data) | scraping/output/-5576522641546504031.txt | [
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] |
### 6\. Aggregated data (non-identifiable personal data)
We may share aggregated data to third parties. The aggregated data has in such
instances been compiled from information that has been collected through the
Service and can, for example, consist of statistics of internet traffic or the
geological location for the use of the Service. The aggregated data does not
contain any information that can be used to identify individual persons and is
thus not personal data.
### 7\. Cookies | scraping/output/-5576522641546504031.txt | [
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### 7\. Cookies
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### 8\. Changes
We have the right to, at any time, make changes or additions to the Privacy
Policy. The latest version of the Privacy Policy will always be available
through the Service. A new version is considered communicated to the Users
when the User has either received an email informing the User of the new
version (using the e-mail stated by the User in connection to the use of the
Service) or when the User is otherwise informed of the new Privacy Policy.
### 9\. Contact
For questions, further information about our handling of personal data or for
contact with us in other matters, please use the below stated contact details;
ML6 julie.plusquin@ml6.eu
## About ML6 | scraping/output/-5576522641546504031.txt | [
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For questions, further information about our handling of personal data or for
contact with us in other matters, please use the below stated contact details;
ML6 julie.plusquin@ml6.eu
## About ML6
We guide the AI revolution towards positive impact. 🌐
Exciting developments are happening in the world of AI, offering unprecedented
opportunities for businesses to innovate and gain a competitive edge. Now more
than ever is the time to create intelligence with lasting positive impact. And
you can be a part of this!
1. We deliver end-to-end projects where we accompany organisations through the entire AI journey
2. We build bespoke hybrid ML solutions
3. We navigate and set up advisory projects
As ML6 highly values diversity, inclusion and transparent communication, we've
implemented a formal channel to report serious misconduct here. | scraping/output/-5576522641546504031.txt | [
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Examples of serious misconduct (not limited to): safety of the individual
(aggression, discrimination, sexual harassment), data privacy issues, public
health, tax and fraud.
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Career site by Teamtailor | scraping/output/-5576522641546504031.txt | [
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December 1, 2022
# AI for the green transition - Applications and use cases [Part 1]
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AI has great potential to accelerate efforts to protect our environment, such
as reducing emissions or making more efficient use of scarce resources. Let’s
dive into some examples of use cases - with no ambition to be exhaustive -
where AI can help tackle important challenges.
In a series of blogposts, we will look at 4 dimensions, in line with the EU
Green Deal actions, covered in the visual below. In this first blogpost, we
will deepdive into the topics of climate action and clean energy and
sustainable industry and Agriculture.
The four dimensions in line with the EU green Deal actions
### Climate action and clean energy
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The four dimensions in line with the EU green Deal actions
### Climate action and clean energy
The European Green Deal aims to make Europe climate neutral by 2050 and has
set ambitious greenhouse gas emission reduction targets. This can only be
achieved if emissions are reduced in all sectors. Energy especially is
critical to reaching the targets, given that more than 75% of EU greenhouse
gas emissions stem from the production and use of energy. AI technology has
already seen applications to help these efforts, such as:
#### Measuring and predicting greenhouse gas emissions | scraping/output/-876412919741189141.txt | [
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#### Measuring and predicting greenhouse gas emissions
Companies face increasing pressure to transparently, accurately and
frequently report emissions and take actions to reduce them. Precise
measurement on a granular level (e.g. product or process level) is key to know
where to focus efforts; however, manually measuring emissions is time-
consuming, data-intensive and costly. AI and data analytics can help to
effectively track emissions and identify inefficiencies, improvements and
opportunities for lower emissions. Consider calculating the supply chain
carbon footprint based on invoices and emission data to allow real-time
emissions tracking (e.g. Snowfox). Another example could be an AI-enabled
platform, such as CO2 AI by BCG, to measure and reduce emissions across the
value chain and collaborate with suppliers. Using AI to predict future
emissions can also help to adjust and achieve emission reduction targets.
#### Improving energy efficiency and reducing consumption | scraping/output/-876412919741189141.txt | [
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Predictive capabilities can predict and manage energy demand and supply,
increase operational efficiency, coordinate decentralised energy networks, and
enable faster control and more flexible adjustments to unforeseen events. The
latter two examples will gain even more importance with the move towards
renewable energy, which is more prone to uncertainties and fluctuations (e.g.
due to weather conditions) than sources such as gas or coal. On the
consumption side, AI can help study energy consumption patterns and use those
insights to help save energy. For example, the heating and cooling of
buildings can be adjusted more flexibly based on data such as weather
conditions and sensors capturing occupants' habits. In the public sector, ML6
is currently working with the Agency for Roads and Traffic (AWV) to reduce
energy consumption by street lights, using real-time data on traffic intensity
and weather conditions to control road lighting more accurately and more
location-bound. | scraping/output/-876412919741189141.txt | [
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#### Transitioning towards renewable energy
AI can enable renewable energy sources to become more cost-effective,
efficient or predictable, helping to shift the energy mix more towards
renewable, less carbon-intensive energy sources. For example, ML6 worked with
the Belgian wind farm provider Otary. With the help of ML technology and
explainability techniques, we predicted the root causes of energy
underproduction, taking into account sensor data such as wind direction,
turbine location, and weather conditions. These insights enabled the wind farm
to find the driving factors leading to underperformance and ultimately decide
which actions to take to generate more green electricity from their wind
farms. Similarly, the positioning of solar panels could be monitored and
adjusted based on local weather to maximise power production.
### Sustainable Industry & Agriculture | scraping/output/-876412919741189141.txt | [
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### Sustainable Industry & Agriculture
We can only achieve a circular and climate neutral economy through the
mobilisation of industry, which needs to become greener, more circular and
more digital (EU Industrial Strategy). Similarly, a sustainable EU agriculture
and food system benefits the environment, health and society. In both areas,
AI technology is already being used, for example in applications such as:
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#### Reduction of waste and defective production
Reducing the number of defective products and waste in the manufacturing
process can reduce raw material consumption and save energy. AI-enabled
quality control systems based on computer vision on the production line, an
area where ML6 has conducted many use cases in recent years, can help reduce
production defects and waste and increase the efficiency of the process. Using
sensor data during production can be another way to identify bottlenecks and
reduce waste. For example, ML6 worked with Accolade wines, the largest wine
manufacturer in the UK, to help them save 1 million litres of wine per year by
identifying when wine loss occurs and alert operators to investigate and take
instant action.
#### AI for smart logistics and stock management | scraping/output/-876412919741189141.txt | [
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#### AI for smart logistics and stock management
Better forecasting of demand can help to manage stocks better and optimise
the design of logistics strategies. Excess products not only waste resources
through their production but also cause greenhouse gas emissions when shipped
and stored in climate-controlled warehouses. By implementing demand
forecasting based on this available data, supply and demand will be better
balanced, lowering the produced waste. This avoids sunk costs for the company
while at the same time reducing its carbon footprint. Also, AI can be used to
make distribution and logistics operations more sustainable, for example, by
optimization of routes for delivery.
#### Precision agriculture | scraping/output/-876412919741189141.txt | [
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Precise monitoring and managing environmental conditions in agriculture with
the help of AI can reduce the need for pesticides and fertilisers, reduce
waste and use of water, and increase output. Field sensors can be used to
measure various factors that impact agriculture, such as local weather, to
predict the impact on yield and required measures. For example, pests can be
identified and monitored to predict the optimal (minimal) use of pesticides
needed. Farmers can also monitor crop health to inform better management and
take action. This can lead to higher yield and lower cost base for producers,
and more sustainable agriculture for the environment.
In the agricultural sector, ML6 worked with CNHi Industrial on an AI solution
for their new line of combines. These combines are equipped with a camera and
hardware. The goal is to detect the quality of the crop that is being
harvested by running image segmentation on the hardware and images taken by | scraping/output/-876412919741189141.txt | [
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hardware. The goal is to detect the quality of the crop that is being
harvested by running image segmentation on the hardware and images taken by
the camera. Based on this information, the combine can alter its parameters
accordingly. | scraping/output/-876412919741189141.txt | [
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] |
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Join our newsletter | scraping/output/-876412919741189141.txt | [
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Multiple locations
# < enter fancy job title here >
## Interested in getting in contact, but did not find the right role? Let us
know how you could add value to ML6 🙋
Join us
At ML6 we think it is important to give the opportunity to learn, grow and
thrive while working with the best of the best in a dynamic environment. We
gladly accelerate you in your professional track and towards the career of
your dreams. We are looking for diverse talent who shares our values and wants
to make an impact that matters.
Looking to play a role in this wild future of AI?
Looking for a role to leverage your GenAI skills? Marketing or Business
skills?
Apply here, and we'll create your fancy job together at ML6!
Note: As our culture is centered around interpersonal connections, working
fully remote is not an option at ML6 at this time
Locations
Office Amsterdam 📍, Office Berlin 📍, Office Ghent 📍
Employment type
Full-time
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Locations
Office Amsterdam 📍, Office Berlin 📍, Office Ghent 📍
Employment type
Full-time
## Why others choose ML6 🤝
* ### Create intelligence with a lasting positive impact
As a leader in AI, we work hard to ensure that AI is designed, developed and
deployed to create positive impact. We take our responsibility to build secure
and sustainable technology seriously and have integrated ethics within our way
of working. This shows in every client case and do good projects we do.
* ### Innovate and share knowledge
Learning is part of our DNA. Whether it's through our team's expertise,
creating spin-offs or the latest tech breakthrough, our culture will empower
you to deliver top-notch AI solutions to our customers. We organise chapter
conferences, guest lectures, meet ups, dedicate time to research, blogposts, a
personal training catalog and so much more.
* ### We achieve more together | scraping/output/-2460024692131951610.txt | [
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* ### We achieve more together
Expect to build lasting relationships that extend beyond the office walls.
Thanks to our collaborative and diverse culture, we achieve the extraordinary.
From our ML6 agents to our ML6 Maffia, we’ve created a safe environment where
mutual trust and open feedback is cherished. To foster our interpersonal
connections, we love to see each other's pretty faces at the office.
* ### Fast growing and international
We're gearing up for our next growth milestone. Don’t expect a big corporate
organisation with pre-defined jobroles and plans for the coming years. Expect
the unexpected. Growth, change and impact. Expect to work for the most
innovative and biggest companies across countries. Expect exponential personal
growth in your career.
* ### Byte size Benefits | scraping/output/-2460024692131951610.txt | [
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* ### Byte size Benefits
Last but not least, we provide an attractive salary package for your expertise
and an optimised benefits program where we stay true to our caring and
learning goals. In a nutshell, we've built a place where we truly love
working, we think you will too.
Contact Julie Plusquin Talent Partner – Talent & Culture 🫶
## Join us
* Talent Reward Officer
Talent & Culture 🫶 * Multiple locations
* Frontend Engineer
Advisory & Delivery unit 💻 * Multiple locations
* Data Engineer
Advisory & Delivery unit 💻 * Office Berlin 📍
More jobs
## FAQ
* ### Can I work remotely at ML6?
There is a reason why we don’t work (fully) remotely at ML6 and why we love
being present at our offices so often. At ML6, our culture is based on
interpersonal connections and our strength lies in our personal collaboration.
With our clients, and with each other. We work from home about 2 days a week.
Our offices are situated in Berlin, Amsterdam and Ghent. | scraping/output/-2460024692131951610.txt | [
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* ### What to expect when joining ML6?
Don’t expect a big corporate organisation with pre-defined jobroles and a
defined plan for the coming years. Expect the unexpected. Growth, change and
impact. Learn from engaged experts with a like minded passion for technology.
Expect to work for the most innovative and biggest companies across countries.
We are all T-shaped consultants working on a shared goal.
* ### Am I a fit for the company?
We are an AI Consulting company on a mission. Guiding the AI revolution
towards positive impact. You can become part of this mission. We are always on
the look for business minded people with a consultative approach. We dedicate
great effort in building a caring culture full of learning opportunities that
accelerates us to accomplish our main purpose. You can be in the driver’s seat
of your career. You can be the next ML6 agent to create value for our
customers and company.
Are you up for the challenge? | scraping/output/-2460024692131951610.txt | [
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Are you up for the challenge?
* ### What does the application process look like?
It depends on the role that you're applying for. For our technical roles, we
always start with a technical matching (ex. coding challenge) and get to know
interview. Every role at ML6 receives a presentation challenge where we will
evaluate how you can contribute to our innovative projects by demonstrating
your skills & creativity. As you approach the finish line, we schedule a final
interview (physically) to reflect on your dream job at ML6.
* ### How is ML6 structured?
We work in Units and with Unit Coaches. For more information about our
structure, we recommend you to watch this video.
* ### What are examples of projects that ML6 worked on? | scraping/output/-2460024692131951610.txt | [
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] |
We work in Units and with Unit Coaches. For more information about our
structure, we recommend you to watch this video.
* ### What are examples of projects that ML6 worked on?
At ML6, we boost and increase revenue growth for other companies, by
implementing AI solutions. We do this for a broad range of industries. From
manufacturing, to healthcare or media and entertainment industries (and lots
more!).
You can find some of our client cases and testimonials here.
* ### I would love to meet up with someone from ML6
You can find all of our upcoming meet ups and events here. If you would like
to schedule a first get-to-know, we recommend you to apply officially via our
jobsite where we will follow up with you soon.
* ### What about the ethical aspect of AI?
At ML6 we take our responsibility to build secure, reliable and sustainable
technology seriously and integrate ethics within our way of working. We have
our own Ethical Advisory board to discuss sensitive projects. | scraping/output/-2460024692131951610.txt | [
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* ### Why is ML6 called ML6?
ML stands for our main expertise, Machine Learning. Next to that, we don't
take ourselves always very seriously. Our people are 'ML6 agents', wink to
MI6. Seen the James Bond movies? Our meeting rooms for example are named after
them. After all, we can be a bit geeky at times ;-)
* ### What does a typical AI project look like?
This really depends on the scope of the project. A project can run for a
couple of months, to even years. Our ML6ies work on projects together with a
team of colleagues. This team can have different skills like data engineering,
software, machine learning and project management to deliver top notch service
to our clients. They sometimes work on different projects simultaneously or
combine project work with an internal project or research topic.
Office Amsterdam 📍 Office Berlin 📍 Office Ghent 📍
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Office Amsterdam 📍 Office Berlin 📍 Office Ghent 📍
## About ML6
We guide the AI revolution towards positive impact. 🌐
Exciting developments are happening in the world of AI, offering unprecedented
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1. We deliver end-to-end projects where we accompany organisations through the entire AI journey
2. We build bespoke hybrid ML solutions
3. We navigate and set up advisory projects
As ML6 highly values diversity, inclusion and transparent communication, we've
implemented a formal channel to report serious misconduct here.
Examples of serious misconduct (not limited to): safety of the individual
(aggression, discrimination, sexual harassment), data privacy issues, public
health, tax and fraud.
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Join us
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Google Search is so magical that you sometimes forget how much technology is
involved. Your prompt immediately yields the results, no matter how cryptic
you describe what you're looking for!
Funnily enough, searching for the latest sales report or that particular legal
clause in your company database doesn't work that way. The big difference?
Semantic search!
In this blog post, we'll discuss semantic search from a business point of view
and how it can bring value to different types of companies. We'll answer when
and why you would need semantic search and how a semantic search engine can be
implemented and used. | scraping/output/7621959638534649802.txt | [
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You'll also find examples of various industries, such as legal, recruitment,
media and medical & life sciences, that use semantic search to support their
business processes.
### Setting the scene
Let’s start easy and define what a search engine is. In essence, it is a tool
that allows you to search through data quickly and intuitively using natural
speech. Probably stating the obvious here, but the most known examples are
websites like Google, Yahoo, Yandex, Baidu, Bing, and DuckDuckGo. Search
engines like these make it easy to find the right website and/or information
publicly available on the internet for a specific search. We can all agree
that they work pretty efficiently, and most of the time, it doesn’t take a lot
of time to find the information you’re looking for.
| scraping/output/7621959638534649802.txt | [
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However, things become a lot harder when it comes to finding information
stored on your computer or your company databases. If these have a clear
folder structure, you might be quick in finding the information you are
navigating for. If not, you will probably rely on effortless ways like the
integrated search tool from your operating system or cloud provider. Most of
these tools require you to type in one or multiple words, and then you get a
wide range of results with documents in which that specific word is commonly
listed. And let’s be honest, how often does it happen that you need one of the
first files proposed here? Not very often, indeed. Luckily, we have the answer
to speed up your efficiency.
### Semantic search: It’s about context
| scraping/output/7621959638534649802.txt | [
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] |
### Semantic search: It’s about context
So why is it so much easier to find information on Google or Bing compared to
finding something in your company sales folder? There are a couple of reasons
for that. This blog post will dig deeper into one of the most important ones:
the use of semantic search.
Semantic search adds context to both your search query and the files you scan.
Now, what do we mean by the word context here? It is often crucial to
understand the exact meaning of the word or words used, as many languages work
with many synonyms, homonyms, and figures of speech. When you are looking for
‘python’, do you mean the animal, or are you talking about the programming
language? When searching for a ‘Python manual’, you expect results explaining
how to program in Python rather than some guidebook on how to handle the
snake. You can only know this if you also understand the context of the
sentence in which you use these words.
| scraping/output/7621959638534649802.txt | [
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] |
To give another example, if your search query is ‘last year’s sales results’,
you don’t want to find files that often have the words ‘last’, ‘year’,
‘sales’, and ‘results’, but files from last year or where dates from last year
are often listed AND include text talking about sales results.
How does semantic search do this? In short, it gives numerical values
(embeddings) to text so that similarity or dissimilarity can be quantified,
hence allowing to determine which text is closely related and which ones
aren’t.
Defining those numerical values (embeddings) is first done for individual
words. To give an easy example, the words ‘king’ and ‘queen’ will, in one way,
be closely related due to the royalty aspect but have opposite gender values.
The embeddings for these words will numerically reflect these different
aspects.
| scraping/output/7621959638534649802.txt | [
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Next, embeddings are added to sentences and paragraphs. To continue using the
example of ‘last year’s sales’, it’s essential to know if a whole file is
talking about last year’s sales results or only a small paragraph. It is also
important to know if last year’s sales results are the paragraph's main topic
or just something being mentioned.
If you would like to understand the deeper technicalities of how semantic
search works, I’ll gladly forward you to our technical blog post about
semantic search, which you can find here.
### Do you need semantic search? | scraping/output/7621959638534649802.txt | [
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### Do you need semantic search?
Why would you want to build a search engine in your organisation? The key
aspect remains context. Suppose you are primarily looking for files or
documents based on exact keywords or how often a specific keyword is present
in a document. In that case, semantic search might be overkill, and you will
probably already obtain excellent results using a traditional lexical search
engine. You would probably get some value out of it, but not enough compared
to the costs.
| scraping/output/7621959638534649802.txt | [
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] |
However, if you are often looking for documents that are related to each other
and would like search tools that can work a lot broader, then a semantic
search engine could make a lot more sense value-wise. The next question to ask
yourself is how much specific jargon you’re dealing with. A general semantic
search engine will already add some value but is not trained to deal with very
specific terminologies. In the latter, I would advise developing it custom,
fully based on your needs and sector.
### Industry examples of semantic search in practice
Semantic search can be used in most situations where you have a large amount
of textual data, but let’s dig deeper into some concrete examples of how
exactly you could use it.
#### Legal Documents | scraping/output/7621959638534649802.txt | [
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#### Legal Documents
Not many sectors have more paperwork than anything related to legal. The sheer
amount of documents that need to be searched through when preparing a court
case is unfathomable for most of us not active in the field. We see a similar
story when you need to prepare for an audit, draft the necessary documents and
contracts, …
This results in a significant loss of time in finding the necessary documents
and multiple people doing the same work because they couldn't find similar
papers to use as a basis for the work they're going to do.
#### Media
Media can use semantic search to make people’s lives easier when looking for
the right article in a digital archive. This semantic search engine on top of
a digital archive can help two audiences. | scraping/output/7621959638534649802.txt | [
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Media can use semantic search to make people’s lives easier when looking for
the right article in a digital archive. This semantic search engine on top of
a digital archive can help two audiences.
First, it could offer a semantic search engine to its subscribers to make
their lives easier when searching for the right articles in a digital archive.
Next to that, it improves the journalists’ lives by making it easier for them
to retrieve the correct information internally (f.e. unpublished work, old
notes from (ex-)colleagues, …).
As a side note: AI can also help a lot when developing these digital archives
by making standard OCR (Optical Character Recognition - technique used to
recognize text within a digital image) tools cope better with a lot of
technical jargon.
#### Medical | scraping/output/7621959638534649802.txt | [
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#### Medical
In the medical sector, there is a case for both semantic search and more
traditional filters, depending on the situation. In a situation where medical
practitioners are looking for files with very specific names of diseases, body
parts, … listed in them, then looking for an exact keyword is the way to go,
as a semantic search will come up with similar results.
However, when you’re trying to find or gather information from notes made by
medical practitioners and/or research papers, a semantic search makes a lot
more sense. This could add a lot of value in speeding up academic research,
clinical trials, drug development, …
#### Recruitment
| scraping/output/7621959638534649802.txt | [
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] |
#### Recruitment
The recruitment sector is notorious for being very focused on keywords. A
hiring manager or client is looking for a set of skills or specific expertise
and asks the recruiter to look for people who match the request. This then
results in a search through a huge volume of CVs coming from everywhere
(internal database, job boards, LinkedIn, …) where a recruiter tries to find
potential candidates with specific keywords in their CV.
This is where a semantic search engine could make a huge difference because it
will also push candidates with more relevant experiences listed on their CV,
but without any of the necessary keywords being listed.
### How to get started with semantic search? | scraping/output/7621959638534649802.txt | [
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] |
### How to get started with semantic search?
At a very high level, you first need to identify if semantic search will be
something that benefits you. If so, you should check what kind of data you
have. Is everything digital, or do you also need to start OCR’ing paper
documents? The next step is to see if you have a large enough volume of data.
Tens of thousands are definitely better than a couple of thousand documents.
Curious to find out more about semantic search from a more technical point of
view? Look at our NLP expert Mathias Leys' blog post on this topic.
Do you want to see if ML6 can help you get more value out of your data by
implementing search engines in your organisation? Get in touch!
## Related posts
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Structured Data
Structured Data | scraping/output/7621959638534649802.txt | [
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Responsible/ Ethical AI
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MLOps
Generative AI
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Computer vision
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Route optimization
Fraud detection & prevention
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Generative AI
Data Driven Sales
Recommendation & Matching engine
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Digital Twin Production Planning
Content Management Platform
Client & Prospect Profiling
Industries
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Machinery & Equipment
Recycling
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Large Language Models: to Fine-tune or not to Fine-tune? | scraping/output/-8595681043264834206.txt | [
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Elevating excellence : accelerating each others talent | scraping/output/-8595681043264834206.txt | [
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] |
Implementing ML models' code promotion across environments using CI/CD
pipelines.
February 8, 2024
By
Miro Goettler
Placeholder tag
Elevating excellence : accelerating each others talent
A company can only be as successful as the success of its people. Everything
depends on a strong ‘people and talent approach’ that is committed to
individual development and growth. At ML6, we consciously attract people who
can bring new insights and skills. People who dare to think about innovation
disruptively, but who always fit within our cultural values. So what does that
look like more concretely you might wonder?
February 5, 2024
By
Julie Plusquin
Placeholder tag
Webinar | The AI Act in practice - preparing for the upcoming regulation
Explore the impact of the EU AI Act on businesses, focusing on the interplay
with existing regulations, cybersecurity considerations, and practical
approaches to implement Responsible AI.
January 11, 2024
By
Michiel Van Lerbeirghe
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January 11, 2024
By
Michiel Van Lerbeirghe
Placeholder tag
Elevating Your Retrieval Game: Insights from Real-world Deployments
Discover how to optimize Retrieval Augmented Generation (RAG) by improving
retriever performance, utilizing metrics for evaluation, and enabling follow-
up questions for enhanced user experience.
January 8, 2024
By
Sebastian Wehkamp
Placeholder tag
Unveiling Google's Gemini: a game-changer in the world of AI?
Explore Google's latest AI model, Gemini, challenging GPT4.
December 7, 2023
By
Matthias Feys
Placeholder tag
The impact of multimodality in the landscape of Large Language Models
Since the recent introduction of GPT-4 Vision, there has been a growing
interest in multimodality. Read what does it mean for you.
November 22, 2023
By
Pauline Nissen
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Unlocking the Secrets of Life: AI Protein Models Demystified
A brief overview of what proteins are, their characteristics and the
applications of protein engineering. | scraping/output/-8595681043264834206.txt | [
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] |
Placeholder tag
Unlocking the Secrets of Life: AI Protein Models Demystified
A brief overview of what proteins are, their characteristics and the
applications of protein engineering.
November 15, 2023
By
Medha Hegde
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Whisper Deployment Decisions: Part I — Evaluating Latency, Costs, and
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Optimizing OpenAI Whisper deployment in production.
November 5, 2023
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Assessing the impact of the EU AI Act proposal
How can model providers comply with regulation concerning training data &
copyright?
October 31, 2023
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Michiel Van Lerbeirghe
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LLAMA 2: So good they named it twice
Meta's LLAMA model takes center stage, but there's a catch: it's open-source,
but not entirely. Here's the story of LLAMA, its recent updates, and what it
means for you.
October 10, 2023
By
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Webinar | Generative AI for corporate use - Fine tuning foundation models | scraping/output/-8595681043264834206.txt | [
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October 10, 2023
By
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Webinar | Generative AI for corporate use - Fine tuning foundation models
In this webinar, we explored the benefits and challenges of the fine-tuning
approach, discovering when to opt for fine-tuning, outlining the different
techniques and offering practical guidelines for getting started with fine
tuning.
October 5, 2023
By
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The EU Data Governance Act (DGA): an engine for innovation
Discover the DGA's impact on data sharing, privacy, and innovation, and how
ML6 solutions align with its objectives.
October 2, 2023
By
Michiel Van Lerbeirghe
Placeholder tag
Get Started with Machine Learning Faster Using Amazon SageMaker JumpStart
Unlock Machine Learning with Amazon SageMaker JumpStart: A Comprehensive Guide
September 28, 2023
By
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Creating a Chatbot with Amazon Bedrock | scraping/output/-8595681043264834206.txt | [
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] |
Unlock Machine Learning with Amazon SageMaker JumpStart: A Comprehensive Guide
September 28, 2023
By
Placeholder tag
Creating a Chatbot with Amazon Bedrock
In an era where digital interactions dominate, chatbots play a crucial role in
enhancing user experience. Amazon Bedrock emerges as a beacon of simplicity,
allowing developers to harness the power of cutting-edge machine learning
models.
September 20, 2023
By
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AI internships at ML6: nine domains to steer your career towards
At the end of college years, it can be very confusing to start determining
your next steps. Are you 100% convinced about your choice of study? Do you
have doubts about how your education plays out in practice? These questions
certainly don't come as a surprise. There is a lot coming at you. For this
reason, it is very interesting to explore the field in practice. Luckily,
schools often offer that option through internships.
September 6, 2023
By
Julie Plusquin
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] |
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From hype to action: charting your AI course | scraping/output/-8595681043264834206.txt | [
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Understanding this behaviour and explaining why full control is unachievable
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Placeholder tag | scraping/output/-8595681043264834206.txt | [
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AI can play a crucial role in the field of HR, but should we blindly follow? | scraping/output/-8595681043264834206.txt | [
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] |
July 24, 2023
By
Placeholder tag
AI can play a crucial role in the field of HR, but should we blindly follow?
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about what the evolution within HR may look like.
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By
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Placeholder tag
Smart energy: how to make your home battery smart and save money?
Learn how to make your home battery smarter by connecting it to external
inputs such as energy prices and weather. This can save up to 35% on
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Placeholder tag
Harnessing the Power of Foundation Models for your Business with LoRA
Harness large foundation models affordably with LoRA technique for business
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July 13, 2023
By
Placeholder tag
Predicting enzyme heat stability during Christmas break | scraping/output/-8595681043264834206.txt | [
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] |
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June 7, 2023
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By
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Recording of the webinar on Generative AI for corporate use: How to get
started with Large Language Models
June 2, 2023
By
Placeholder tag
How specialized AI models can support designers in their daily work
Generative AI as your co-pilot: specialized AI models and their impact on
design innovation.
May 25, 2023
By
Generative AI
Placeholder tag
Optical 3D Acquisition Methods: A Comprehensive Guide [Part 2]
Discover 3D optical acquisition methods: Stereo Vision, Structured Light, Time
of Flight, and LiDAR.
May 21, 2023
By
Francisco Pereira
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3D Computer Vision: Unlocking the Third Dimension [Part 1]
Discover the power of 3D computer vision and its impact on industries. Learn
about advantages, applications, and trends.
May 19, 2023
By
Francisco Pereira
In-Line Quality Inspection & Process Steering
Placeholder tag
Open source catching up to OpenAI
Exploring Recent Developments in Open Source LLMs and Their Implications.
May 19, 2023
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In-Line Quality Inspection & Process Steering
Placeholder tag
Open source catching up to OpenAI
Exploring Recent Developments in Open Source LLMs and Their Implications.
May 19, 2023
By
Michiel De Koninck
Placeholder tag
The Compliance-Friendly Guide to Using ChatGPT and other GPT models
In this blogpost we explore the different options out there around usage of
ChatGPT and other GPT models. For every option we we determine the risks
around compliance, security and privacy.
May 17, 2023
By
Rob Vandenberghe
Generative AI
Placeholder tag
Doubling down on learning and innovation
In this article, we delve into the mind of Kaat Van Doren, Head of Talent &
Culture at ML6, as she explores the role of curiosity within the organization
and her own professional life at a podcast sit down with Cevora.
May 17, 2023
By
Kaat Van Doren
Placeholder tag
Low Rank Adaptation: A Technical Deep Dive | scraping/output/-8595681043264834206.txt | [
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] |
May 17, 2023
By
Kaat Van Doren
Placeholder tag
Low Rank Adaptation: A Technical Deep Dive
LoRA is revolutionizing fine-tuning for large AI models, enabling efficient
adaptation without straining resources. Explore its principles, effectiveness,
and impact on the open-source community.
May 17, 2023
By
Generative AI
Placeholder tag
AI Act Amendments (Joint committee vote 11/5/23)
Discover key amendments proposed in the EU AI Act, including banned and high-
risk applications, regulations for foundation models and generative AI, and
the impact on open-source components. Prepare for upcoming AI regulations and
their implications.
May 17, 2023
By
Placeholder tag
State of the LLM: Unlocking Business Potential with Large Language Models
Explore the potential of large language models (LLMs) for businesses: models,
tooling, challenges, and applications
May 16, 2023
By
Generative AI
Placeholder tag
How to label your way to accurate Automatic Speech Recognition (ASR) | scraping/output/-8595681043264834206.txt | [
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] |
May 16, 2023
By
Generative AI
Placeholder tag
How to label your way to accurate Automatic Speech Recognition (ASR)
This blog post explores the process of labelling speech data for Automatic
Speech Recognition (ASR).
May 10, 2023
By
Placeholder tag
Leveraging LLMs on your domain-specific knowledge base
We'll cover the basics of language models and how they can be trained on your
organization's data to improve search accuracy, automate tagging, and even
generate new content
May 9, 2023
By
Michiel De Koninck
Generative AI
Placeholder tag
Unpacking AutoGPT: A Critical Analysis of the Autonomous Anatomy by Jens
Jens Bontinck, Head of Delivery & Advice, shares his view on the status quo of
AutoGPT. In this blogpost, you will not learn how to run it, nor will I go
into details of the technical solution. Therefore, if you are a product owner,
a functional analist, or a commercial enthousiast, this should be right up
your alley. Happy to read your feedback!
April 18, 2023 | scraping/output/-8595681043264834206.txt | [
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] |
April 18, 2023
By
Jens Bontinck
Generative AI
Placeholder tag
ChatGPT & GPT-4: Gimmicks or game-changers?
Discover the truth behind the hype of ChatGPT & GPT-4. Read about the
potential game-changing capabilities of GPT-4 or if it's just another gimmick.
April 14, 2023
By
Generative AI
Placeholder tag
Reflexion is all you need?
Jens Bontinck shares his view on a recent technique called Reflexion
April 13, 2023
By
Jens Bontinck
Placeholder tag
Accelerating people - even if it goes beyond ML6
How we empower our agents in their own personal road to success.
March 31, 2023
By
Julie Plusquin
Placeholder tag
How to effectively label images for computer vision projects ?
In this blogpost we cover the most important aspects of tackling a computer
vision problem by labeling your own data.
March 22, 2023
By
Thomas Janssens
Placeholder tag
Improving Tennis Court Line Detection with Machine Learning | scraping/output/-8595681043264834206.txt | [
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] |
March 22, 2023
By
Thomas Janssens
Placeholder tag
Improving Tennis Court Line Detection with Machine Learning
Improving tennis court line detection using machine learning for near real-
time predictions.
March 13, 2023
By
Jules Talloen
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Who spoke when: Choosing the right speaker diarization tool
A guide on how to choose the right speaker diarization framework for your use
case.
March 10, 2023
By
Philippe Moussali
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A sea of job opportunities, but where to start? Perhaps in learning to swim?
Tips on figuring out how to navigate the recruitment process and determine
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March 9, 2023
By
Julie Plusquin
Placeholder tag
What to Expect from Automated Machine Learning: Zooming in on Technical
Aspects and Zooming Out to the Bigger Picture
This blog post explores the current state of AutoML tools and their ability to
deliver on the promise of automating machine learning tasks without expert
knowledge. | scraping/output/-8595681043264834206.txt | [
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] |
This blog post explores the current state of AutoML tools and their ability to
deliver on the promise of automating machine learning tasks without expert
knowledge.
January 3, 2023
By
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Placeholder tag
Welcome to the multi-language-pipeline universe
Apache Beam has lots of I/O connectors available, but not all connectors are
in your language of choice.
December 15, 2022
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Placeholder tag
A first impression of Google Cloud’s new Visual Inspection AI tool
Key take-aways of Google Cloud’s new Visual Inspection AI tool.
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Dynamic pricing in practice
Explore the practical implementation of dynamic pricing, its effectiveness,
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December 12, 2022
By
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AI for the green transition - Applications and use cases [Part 1] | scraping/output/-8595681043264834206.txt | [
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] |
December 12, 2022
By
Placeholder tag
AI for the green transition - Applications and use cases [Part 1]
Examples of AI use cases for climate action and clean energy and sustainable
industry and agriculture.
December 1, 2022
By
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AI for the green transition - Applications and use cases [Part 2]
Examples of AI use cases for transport & mobility and environment & oceans.
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Webinar | Sustainable AI: What can be done today
Discover how AI is driving sustainability in energy systems and manufacturing,
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Placeholder tag
A Threatmap for Log4Shell attacks on Google Cloud
Log4Shell got security teams around the world on their toes In this blog post,
we take a look at how and why we built a live threatmap on top of Google Cloud
to detect and visualize cyber attacks and log4j exploits.
November 15, 2022
By
Placeholder tag | scraping/output/-8595681043264834206.txt | [
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November 15, 2022
By
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Challenges for Sign Language Translation
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November 7, 2022
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Semantic Search: Intro and business applications
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Why every AI project needs an MLOps ecosystem in place
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November 1, 2022
By
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Vertex AI is All You Need | scraping/output/-8595681043264834206.txt | [
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] |
November 1, 2022
By
Placeholder tag
Vertex AI is All You Need
Deploying a Scikit-learn Pipeline + LightGBM Classifier Model on Vertex AI for
Explainable Online Predictions
October 26, 2022
By
Placeholder tag
Webinar | Hybrid AI: successfully combining expert knowledge with ML models
Explore the field of Hybrid AI, combining machine learning and expert rules
for optimal outcomes. Learn its relevance, integration methods, and real-world
examples.
October 17, 2022
By
Matthias Feys
Placeholder tag
Hybrid Machine Learning: Marrying NLP and RegEx
Common hybrid NLP design patterns and look at example situations of when you
should opt for which pattern.
October 5, 2022
By
Placeholder tag
Know your unknowns: a short primer on uncertainty in machine learning
How to approach uncertainty in machine learning : forecasting, regression and
classification models.
September 19, 2022
By
Thomas Janssens
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] |
How to approach uncertainty in machine learning : forecasting, regression and
classification models.
September 19, 2022
By
Thomas Janssens
Placeholder tag
Triton Ensemble Model for deploying Transformers into production
When deploying a Transformer model, the complexity increases since besides the
model one also needs to consider how to deploy the tokenizer. Is it best to
deploy the tokenizer on the server or to have the end users handle it and what
is the best way to deploy the tokenizer along with the model on the server so
that inference latency and costs are minimized?
September 6, 2022
By
Placeholder tag
Unblocking ML use cases that lack (usable) data
What do we do though if we don’t have any or enough usable data yet to get
started? One obvious option is to collect (more) data. However, today we want
to go beyond that. We will look at three other dimensions that can be relevant
to unblock ML use cases: data protection, external data, and synthetic data. | scraping/output/-8595681043264834206.txt | [
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] |
September 6, 2022
By
Matthias Feys
Placeholder tag
Potential applications of discrete diffusion models
Applications of using VQGAN combined with Discrete Absorbing Diffusion models.
August 30, 2022
By
Bert Christiaens
Placeholder tag
Using generative AI for image manipulation: discrete absorbing diffusion
models explained
We review and compare the previous SOTA generative models, from autoencoders
to autoregressive models, and work our way to the discrete absorbing diffusion
model.
August 11, 2022
By
Bert Christiaens
Generative AI
Placeholder tag
Can AI generate truly original logos?
Developing a DALL-E-based logo generator.
August 2, 2022
By
Placeholder tag
Hallucination Detection
Detecting errors in transformers generated abstractive summaries
July 13, 2022
By
Matthias Cami
Placeholder tag
Why a tech radar will not make you more innovative
How we tackle information management at ML6 and how our tech radar helps us do
this.
July 6, 2022
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Semantic search: A practical Overview | scraping/output/-8595681043264834206.txt | [
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] |
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] |
A practical guide to image-based anomaly detection using Anomalib
A short introduction to unsupervised anomaly detection and how to apply it.
March 31, 2022
By
Sebastian Wehkamp
Placeholder tag
Building a coral segmentation model using sparse data
In light of a partnership with the organizations Reef Support and Fruitpunch
AI, we designed an image segmentation algorithm. The main challenge here was
the way the data is labelled, containing sparse pixel annotations created by
domain experts. The blogpost covers on a high level how we solved this
challenge, and how the challenge will be going forward.
March 28, 2022
By
Placeholder tag
3D object detection in the real world
In this blogpost, we look at object detection using 3D ‘depth’ sensor data. We
explain how two recent approaches, VoteNet and 3DETR, tackle the problem and
benchmark their performance out of the box and after fine-tuning.
March 15, 2022
By
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] |
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Natural language processing | scraping/output/-8595681043264834206.txt | [
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References | scraping/output/-8595681043264834206.txt | [
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June 9, 2022
# Webinar | Data centric AI: improving data to get to better results
Contributors
Matthias Feys
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Oops! Something went wrong while submitting the form. | scraping/output/2571915080936467562.txt | [
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Both selecting the right AI technique and iteratively training the right AI
model are critical to reaching the desired accuracy for an AI use case. At the
same time, building the right training data set and using it effectively
proves to be equally important in raising AI model accuracy.
We would therefore like to invite you to our upcoming webinar around 'Data
centric AI: improving data to get to better results'.
In this webinar, we will use our hands-on experience to show how training data
issues can be tackled, combining practical suggestions on best practice way of
working with more advanced tooling and modelling approaches.
We will focus on two aspects of data centric AI: | scraping/output/2571915080936467562.txt | [
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We will focus on two aspects of data centric AI:
* Unlocking the full potential of your data: creating a data set that is sufficiently complete and representative, with data and data labels of good quality
Unblocking ML projects that lack (usable) data: especially in case of
confidential and/or sensitive data with limitations on cloud storage
#### Get access to the webinar by filling in the form below.
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Resource libraryEventMeetup | November's Talk Evening
# Meetup | November's Talk Evening
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In this talk evening, together with PyLadies Berlin we will have the following
very insightful talks for you: | scraping/output/-5857196853429635125.txt | [
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Machine Learning Engineer
Guest speakers
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In this talk evening, together with PyLadies Berlin we will have the following
very insightful talks for you:
Öykü Gümüş \- Empowering the Future: Girl's Day in Germany
Öykü is a software engineer with a heart for community involvement.
Recognizing the importance of representation, she organized Girls' Day events
two years in a row, planning the next one, and mentoring through Django Girls.
As a member of the PyLadies Berlin community, Öykü collaborates with fellow
enthusiasts to promote a welcoming space for everyone interested in
programming. While she enjoys her own journey in tech, she finds equal joy in
helping young women and teenage girls discover their own paths in the
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