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Home Artificial Intelligence

The data economy: How AI helps us understand and utilize our data 

by admin
October 15, 2021
in Artificial Intelligence
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The data economy: How AI helps us understand and utilize our data 
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This text is a part of a Expertise and Innovation Insights collection paid for by Samsung. 


Much like the connection between an engine and oil, knowledge and synthetic intelligence (AI) are symbiotic. Knowledge fuels AI, and AI helps us to grasp the information obtainable to us. Knowledge and AI are two of the largest matters in expertise in recent times, as each work collectively to form our lives each day. The sheer quantity of knowledge obtainable proper now could be staggering and it doubles each two years. Nonetheless, we presently solely use about 2 % of the information obtainable to us. Very similar to when oil was first found, it’s taking time for people to determine what to do with the brand new knowledge obtainable to us and tips on how to make it helpful.

Whether or not pulled from the cloud, your telephone, TV, or an IoT system, the huge vary of linked streams present knowledge on nearly all the pieces that goes on in our day by day lives. However what can we do with it?

Earlier this month, HARMAN’s Chairman Younger Sohn sat down with worldwide journalist Ali Aslan in Berlin, Germany on the “New Knowledge Economic system and its Penalties” video symposium held by World Bridges. Younger and Ali mentioned the significance of knowledge, why AI with out knowledge is ineffective, and what must be thought of once we take a look at the moral use of knowledge and AI — together with bias, privateness, and safety.

Bias

In contrast to people, expertise and knowledge aren’t inherently bias. Because the previous adage goes — knowledge by no means lies. Bias in knowledge and AI comes into play when people prepare an AI algorithm or interpret knowledge. A lot of what we’re consuming is influenced based mostly on the place the information is coming from and what knowledge goes into the system. Understanding and eliminating our bias are important to making sure a impartial algorithm and system.

Controlling knowledge entry and permissions are a key first step to take away bias. Having a various and inclusive crew when growing algorithms and techniques is important. Not everybody has lived the identical experiences and backgrounders. Range in each can assist curb biases by offering alternative ways of decoding knowledge inputs and outputs.

Privateness

Permission and entry are paramount once we take a look at the privateness side of knowledge. Privateness is extraordinarily essential in our more and more digital society. As such, customers ought to have a selection firstly of a relationship with a corporation and be requested whether or not they wish to opt-in, quite than having to opt-out. GDPR has been a great first step in serving to to guard customers regarding the seize and use of their knowledge. Whereas GDPR has many well-designed and essential initiatives, the laws could possibly be extra environment friendly.

Safety

Whereas knowledge privateness is extra of a priority to customers and people, knowledge safety has develop into a world concern for customers, organizations, and nation-states.

It looks like each day we’re studying about one other cyber-attack or risk that we should always pay attention to. Chief amongst these issues are the inflow of ransomware assaults. Corporations and people are paying more and more massive quantities of cash to unhealthy actors in an try and mitigate threat, consideration, and embarrassment. These assaults are being carried out by people, collectives, and even nation-states in an try and cripple the techniques of enemies, collect categorized data, or garner capital features.

So how can we belief our knowledge and data is protected and what can we do to be higher protected? Whereas there could also be unhealthy actors utilizing expertise and knowledge for their very own nefarious units, there are additionally many constructive makes use of for expertise. The quantity of training and investments being made within the cybersecurity house have helped many organizations to coach workers and spend money on applied sciences which might be designed to forestall cybercrime on the supply — human error. And whereas we could not have the ability to cease all cybercrime, we’re making progress.

Knowledge and AI for good

Whereas knowledge — each from a set and storage viewpoint — and AI have gotten adverse press round biases, privateness, and safety, each may also be used to do an immense quantity of excellent. For instance, each knowledge and AI have been essential within the biomedical and agtech industries. Whether or not it’s COVID-19 detection and vaccine creation or the creation of biomes and elimination of poisons in soil, knowledge and AI have unimaginable potential. Nonetheless, one can’t transfer ahead with out the opposite. A stable and secure infrastructure and community are additionally wanted to make sure that we are able to make use of the opposite 98 % of the worldwide knowledge obtainable.


VB Lab Insights content material is created in collaboration with an organization that’s both paying for the submit or has a enterprise relationship with VentureBeat, they usually’re at all times clearly marked. Content material produced by our editorial crew isn’t influenced by advertisers or sponsors in any manner. For extra data, contact sales@venturebeat.com.



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