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We can better exploit new opportunities when we understand what new technologies involve and how they interact. Today’s topic is what artificial intelligence and machine learning are, and an insight into how they can relate to IoT and Big Data.
At Basefarm we work daily with these terms. Something we notice is that many equate artificial intelligence and machine learning. Another thing is that there are several different descriptions of each, and those definitions even change over time. So, if you choose to dive into this, you are best off to study fresh sources.
Here is an attempt to clear things up.
Fortunately, the terms themselves help us out. We humans have intelligence. We take in sensory impressions – data – from different sensors like skin, eyes, ears, mouth and nose. From birth and onwards, our brain has been programmed into an intelligence we use for problem solving with subsequent actions.
Artificial intelligence (AI) is an analogy to our own intelligence. It is one or many programmed computers that process collected data, make decisions and perform actions.
Just as for humans, intelligence can vary. Machines with narrow artificial intelligence can complete specific processes and nothing else, such as recognizing a face in an image. Machinery with general artificial intelligence can perform more like the human brain, with problem solving based on various inputs and a broad span of possible actions.
Some define the limit of general artificial intelligence as the limit of the human brain capacity. The next step would be an artificial superintelligence which can perform even more than the human brain. The idea of an artificial superintelligence might appear promising, frightening or perhaps even somewhat comic, like in the sad case of Marvin in Hitchhiker’s Guide to the Galaxy, a robot that is struggling with depression.
But, let’s return to our real world and the next term on the list: machine learning.
Again, the term itself helps us out. It is about machines that learn. And, the term is closely intertwined with AI. As people learn from new inputs, so can machines – which enables them to make better decisions.
A simple programmed AI will repeat its processes over and over again. An AI with machine learning capabilities provides a greater basis for problem solving and evolves during time. This way, machine learning can be seen as a component of artificial intelligence.
But, the question remains; what can AI be used for? HAL 9000 in the Stanley Kubrick classic 2001: A Space Odyssey learned to sing during his training, was able to control a spacecraft, read lips through a video camera and retrieve data from other sensors, keep secrets, and send messages through voice, monitors and other means of communication.
Likewise, AI can gather data from sensors. In our world, many of them come from the Internet of Things (IoT). AI can provide information and commands in return to the same or other IoT networks. This way, AI and IoT are closely interwoven as brain and body are, a combination which many believe may become the basis for an even deeper learning than machine learning.
Obviously, as AI and machine learning represent different processes, they need different software and hardware. Machine learning demands infrastructure that can gather and process big data oceans, which for one thing takes a lot of processing and storage. Artificial intelligence has a large need of processing capability, including internal memory access.
The workloads usually vary over time. So, in order to build a scalable AI solution you need to build it on flexible infrastructure that leaves room for growth.
With our vast experience in building and running mission critical applications, we at Basefarm are your ideal partner to plan, set up and securely run highly scalable infrastructure. Also, the physical distance between IoT and AI should not be too long as the communication should be high speed. With our own data center proximity and partnership with major public cloud providers, Basefarm is in the best position to handle this kind of on the edge computing so you can get the most out of the modern, ever-evolving AI and machine learning technology.
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2. Data controller
Basefarm AS, reg. no. 982 211 743, Nydalen Allé 37a, 0484 Oslo, Norway, is the data controller in relation to personal data being processed on the Norwegian and English versions of the website.
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The aforementioned Basefarm entities are collectively referred to as “Basefarm” in the following. You will find Basefarm’s contact information under section 10.
3. When does basefarm collect personal data?
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When you apply for a job at Basefarm or otherwise send a job application to Basefarm;
In the event you turn to Basefarm with inquiries or requests via e-mail or telephone; and
4. What data may Basefarm collect?
The personal data Basefarm may collect includes information about your name and contact details such as address, telephone number and e-mail address, company and any other information you provide. If you apply for a job at Basefarm, Basefarm will process your CV as well as any other information you attach with your application.
5. How does Basefarm process personal data?
The personal data collected by Basefarm is used to manage customer relations, assess potential employees and assist customers and website visitors with any requests or inquiries made on the website. The information may also be used for monitoring and development of Basefarm’s business and website, for example by analyzing statistics of website visitors, and to protect Basefarm’s rights.
If you apply for a job, Basefarm only uses your personal data for the purposes for which you provided the information. However, Basefarm may save interesting applications even after the recruitment period is over. Such applications may also be transferred to other entities within the Basefarm group.
6. To whom may Basefarm disclose the information?
Basefarm will not sell, lease or otherwise transfer any personal data collected to a third party. Basefarm may however transfer the personal data to other companies within the Basefarm group or to business partners if it is necessary to fulfil its obligations towards you.
Personal data may be disclosed if it is necessary to:
a) Comply with applicable law, regulation or similar or to comply with a legal process, request or order from an executive authority;
b) Defend Basefarm’s legal interests; or to
c) Detect, prevent, or otherwise avoid fraud, security breaches or technical issues.
7. Links to external websites
Basefarm’s website may contain links to third-party websites. Basefarm is not responsible for the processing of your personal data on such websites.
If this policy is amended, Basefarm will publish the amended policy at www.basefarm.com with information about when the amendments will enter into force. If Basefarm carry out any significant changes to the policy, Basefarm may choose to inform by e-mail or by publishing a message on the website.
9. The right to information and recifications
You have the right to require information about what personal data Basefarm is processing about you and for what purposes. You are also entitled to have any incomplete or inaccurate data rectified, erased or blocked. Please see the contact information in section 10 should you have any questions about how Basefarm processes your personal data.
10. Basefarm’s contact information
If you have any questions relating to Basefarm’s processing of personal data, or if you want to invoke your right to access data, please contact relevant Basefarm entity on the address set out below:
PO Box 4488
113 46 Stockholm
1119 PP Schiphol-Rijk
11. Security measures
Basefarm has taken the organizational and technical security measures required to protect personal data against unauthorized access, modification and deletion.
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