Monday, August 24, 2020

How is AI Impacting the Automotive Industry?

 AI in the automotive sector is not new, but the way it has leveraged itself to become an inseparable part in the field speaks volumes about the kind of impact it is making as a whole.

For quite a long time now, the world has been aware of self-driving technology used by Tesla, the electric vehicle, and the clean energy giant. Through these self-driving cars, Tesla is trying to leap ahead with the application of Artificial Intelligence in the automotive industry.



That’s something not every company has been able to pull off. But a key question arises-

Is the scope of AI limited to only self-driving cars?

Well, no. Self-driving car tech is just one factor that is governed by the progress of Artificial Intelligence. However, AI in automotive is so much more.

Apart from self-driving, keeping us more connected, safe and on decided schedules is something which can be accomplished through AI even if we drive our vehicle ourselves.

If the current trends are anything to go by, Artificial Intelligence will drive the growth of self-driving vehicles to an extent that they will become mainstream within the next two decades. Apart from this, AI will also change a lot of steps involved in the automobile manufacturing process, like research and design, project management and even the functions that lend extended support to the business.

Here’s a look at some of the ways through which Artificial Intelligence is leading the way into the future with a great deal of impact on vehicle owners, automakers and even service providers of AI technology in the sector.

  • AI Software to Connect Vehicles

The way through which we have come to recognize AI in the automotive sector. AI helps in monitoring multiple sensors by giving driver alerts, taking emergency control of the vehicle and emergency braking too.


Both AI and Machine Learning have also been successfully implemented in automobile navigation software.

  • Tesla, Tesla & Tesla

No AI blog is complete without the mention of Tesla in automotive. After electric cars, the company has now been taking huge steps ahead in the self-driving arena. Cameras, ultrasonic sensors, radar, sonar and GPS all collect their respective data chunks and transfer them to an AI program that converts this sensory data to vehicle controlling data.


It’s Autopilot software is sophisticated enough to take you to your appointment marked in your calendar if you are not in the mood of the conversation.

  • Vehicle Manufacturing

AI has revolutionized vehicle manufacturing as well. These smart robots work in collaboration with their assembly line human workers, by monitoring how they work and adjust their operations accordingly so as to prevent any kind of a mishap.


Automated Guided Vehicle (AGV) is another piece of AI technology that has come to the horizon in recent times. Without any human interference, these AGVs include objects and complete material delivery to various sections of manufacturing plants.

  • Automotive Insurance Claims

The auto insurance sector to has embraced the use of AI in connected automobiles for risk assessment in real-time, helping with the quick filing of insurance claims in case of an accident. The risk profiles too are accurately created as AI accounts for different factors of individual drivers and even their driving history.


Overall, the inclusion of Artificial Intelligence has made a huge impact in the automotive industry. Needless to say, the potential is simply immense, which is a unanimous situation with multiple businesses and startups all over the world.


As a leading AI application development company in USA, Consagous Technologies is armed to the teeth with the latest AI platforms to assist with cutting-edge AI application development services that will help you take leaps ahead, in line with the growth of AI as technology too.


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Thursday, August 13, 2020

All You Need to Know About Amazon Honeycode!

 Amazon recently announced its entry into the no-code/less-code foray with the Amazon Honeycode App Builder, aimed to empower developers to create web and mobile apps without any programming or coding knowledge. Here’s a brief insight as to what it is about.

Tech enthusiasts were pretty excited since a year after hearing that Amazon was working on a service that offered a no-code service by the name of Honeycode. This particular service had the tag of ‘AWS for Everyone’, where people without any previous experience of software development could create basic business applications and not depend on their company’s IT department.

After a substantially long wait, Amazon launched this service as the Amazon Honeycode App Builder. Available in AWS as a managed service, users can have the benefits of a simple to use virtual app builder for creating web and mobile apps, backed by the powerful, tried and tested database built in AWS.

Competing with Microsoft Power Apps and Google Cloud’s AppSheet, one of the biggest features of Amazon Honeycode is the ease with which it allows new developers to build great web solutions without the need to write a single word of programming code at all.

All about Amazon Honeycode

For any mobile app development company, Amazon Honeycode looks to be an avenue that is full of promise.

To keep things simple, the overall profile of Amazon Honeycode has three integral points that can be noted as the essence governing the overall operational process of Honeycode- 


  • Lightweight Functionality
When compared to AppSheet and PowerApps, Amazon Honeycode has a pretty lightweight identity in terms of functionality, at least, as far as the initially launched beta version is concerned.

While the future versions will allow the associated users to get access to a number of customized solutions as per their requirements, the present version is just to get the developers acquainted with something that is on offer from AWS.
  • Honeycode Basics
As of now, Amazon Honeycode allows the users to create applications with upto 20 individuals completely for free. Things move to the premium scenes only with additional users and storage space for apps that are large in size.

In its current identity, Amazon Honeycode has built-in templates for everyday web and mobile apps that include surveys, task lists, reporting times, content trackers, team tasks monitoring, inventory, and event management among a lot of other things. A really interesting feature of Honeycode is the ability to import all data into a workbook and then organize it in the spreadsheet interface.
  • Integration of Amazon Honeycode with APN
The benefits of Amazon Honeycode, obviously get a little more enhanced with its integration in AWS Partner Network (APN). With this combination, users can internally use Honeycode to bring about an improvement in the business processes internally as per the productivity benchmarks and parameters, which can vary from time to time.

The name Honeycode too is supposed to denote the ease it brings into the whole programming scenario. Hence, Amazon came up with Honeycode.

What now remains to be seen is how Amazon catches up to its main competitors, Microsoft PowerApps, and Google’s AppSheet. While PowerApps was launched way back in the year 2015, Google too made its acquisition of AppSheet right this year in January.

As far as the first version is concerned, Amazon Honeycode is available for users in the US-East (North Virginia) and Oregon. The service will be made available to the other regions as well in the coming time.

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