Tag Archive : Deep Learning

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Business benefits of IOT can be realized only by effective AI deployment

August 9, 2019 | Artificial Intelligence, Blockchain | 1 Comment

It is a time in history when devices that rove around the globe is empowered with a plethora of multi-functional technologies that can capture gestures, show clear readings to proximity temperature, etc. the list just goes on.

Internet of things is to be held accountable for such versatility, in bits and pieces, but does that clearly throw light upon the importance of this technology? With the ‘Big Bang’ of data and connected devices (the key foundation of IoT), the business sector is all warmed up.

However, the point of discussion over here is that in the absence of understanding to interpret data, and comprehend which one should take a lower priority, IoT is nothing but an unstructured flow of ineffective data.

The absence of AI deployment in IoT enabled devices stands as a ball and chain towards the blistering development of technology that put a veil on the real prize of humankind the astonishing transformation prospects, which IoT offers.

In support of this argument, market survey reports state that more and more organizations have turned to AI to not only improve but also change their business operations.

AI boosts IoT enabled devices

If a company has picked up pace in recent years, it is quite obvious to say that the business organization has inculcated rightful amalgamation of AI and IoT. For instance, Uber uses AI to connect the right passenger with the driver, thanks to customer behavior recognition and autonomous driving approach of data science.

For a highly operated IoT device, in order to comprehend what’s really taking place around a device and to respond dynamically, AI is the key tool. For this, AI needs to be deployed in the right manner, in a bid to realize the IoT offered benefits.

Key Considerations for using AI in IoT

To incorporate AI and derive maximum value from the data IoT makes available, business needs to consider some key steps.

  1. Consider how to incorporate AI training into the process
  2. Ensure the AI systems are constantly refined and enhanced

To conclude with AI in IoT

AI training is as crucial as algorithmic coding for traditional systems, however, in the present scenario that is a worldwide challenge.

With the right training model, IoT models can balance a pragmatic approach toward devices that have human intervention and contribution at the forefront.

If your business has IoT enabled devices, it is quite likely that you will aim to upgrade it with AI, but only with the helping hand of a professional.

SPIN is that professional you seek. Contact today!

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The Explorative Convergence of AI & Emerging Technologies; Unmasked!

July 19, 2019 | Artificial Intelligence | No Comments

As far as the fragment of human imagination travels, speed that up into hundred times more and still, you would not be in calculative terms of understanding to what extent can modern technology lead up to! Barring all limitations, technology evolution in the 21st century seems to be unfolding in such an escalating manner that even the direst of things are not impossible attainments for Scientists and Data Engineers.

Highlighting under this context, one of the massively growing and pervading all sectors of business and lives, is the emergence of Artificial Intelligence. With the sarong demands of the youth, business professionals, and corporate leaders for more upgraded versions of the technology, Artificial Intelligence does complete justice to the aforementioned productively. Additionally, the complimenting elements of more expediency, more flexibility, and more ease of use with AI make it even more incredible.

Here are few of the most in-trend technologies accelerated by artificial intelligence:

Deep Learning

Eminently categorized as one of the best forms of Artificial Intelligence, Deep Learning performs developmental actions that produce algorithms known as artificial Neural Networks. The base model of this has been stimulated by the human brain function and structure. Amplifying much ahead than the equivalent progress of Machine Learning, Deep Learning has outdone 40 fold times more between the years 2015 and 2018. Sectors like autonomous vehicles, computer vision, and automatic text generation have Artificial Intelligence technology at its peak with deep learning being its core use of operative mode.

Facial Recognition

Being regarded as the future of Artificial Intelligence, facial recognition is a colossal breakthrough in the field of technology. Its mounting popularity and progressive growth in the market leaves no room for doubt about its current functionality. With the advent of the year 2019, facial recognition takes giant leaps and dominates the urban mass with its significant power of technological autocracy. To state an example from the current hour, AI-based fun application known by the name FaceApp is a direct testimony of the factual existence of AI’s exponential growth. The app analyzes your face and shows your aged look due to the app’s functionality based on AI + Analytics and ML.

Cloud

Enhancing and streamlining business operations and managing data storing systems superfluously, the cloud is a fantastic example of AI-empowered technologies. The global expansions of MNC’s have pushed forward the occurrence of the largest public cloud adoption in the year 2019.

Therefore, transformations of businesses digitally have laddered up to a whole new level that the future predictions are even challenging to fathom. Building a concrete reputation as a leading AI-empowered business solution provider, SPIN Strategy is a name that is going to be your need of the hour. With a highly qualified and certified competent team of engineers and Data Scientists, SPIN Strategy understands the essence of the AI revolution and its impact on business and leaves no stone turned to improvise operational excellence.

Interested to know more? Get in touch! https://www.spinanalyticsandstrategy.com/ 

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