Mobilizing Big Data for Cloud-based Predictive Analytics

Mobilizing Big Data for Cloud-based Predictive Analytics

The future of artificial intelligence will foster revolutionary and cost-effective solutions using machine learning, IoT, and cloud computing technologies. For this, data analysts are relying on the high computational powers of cloud-based...

The future of artificial intelligence will foster revolutionary and cost-effective solutions using machine learning, IoT, and cloud computing technologies. For this, data analysts are relying on the high computational powers of cloud-based infrastructures for optimum results. Cloud-based predictive analytics is the latest development under AI that is poised to enhance digital experiences with automated data analytics capabilities. In this blog post, we explore how cloud computing combined with AI development services is deriving cognitive insights for global businesses.

Strengthening AI-backed Predictive Analytics with Cloud Computing
While cloud computing empowers businesses with massive data storage, AI incubates this data to extract valuable insights beyond human intelligence. The fusion of AI and cloud computing will enable businesses to build scalable machine learning models while saving high operational costs.

Especially, the integration of cloud computing in AI-powered predictive analytics is poised to transform how businesses formulate their future strategies. Besides high-volume data processing and significant cost-cutting capabilities of cloud platforms, the following are the advantages of blending AI and cloud-

  1. Elasticity

Cloud computing adds a layer of elasticity to the business applications hosted inside the cloud environment. Businesses can easily resize the application bandwidth over the cloud according to their real-time customer movements without procuring additional hardware.

  1. Scalability and Global Accessibility

Traditional data analytics techniques are not efficient at handling large data surges. Contrary to it, cloud-based predictive analytics accelerate business productivity with highly scalable data processing environments across boundaries.

Business Applications Of Cloud-based Predictive Analytics

  1. Data Preparation and In-depth Insights
    There’s no dearth to the insights that businesses can derive from the ever-expanding volumes of audience data. However, the limited capacities of traditional analytics techniques prevent businesses from harnessing the full potential of large datasets. It directly affects the customer outreach efforts of businesses by mismatching customer needs and available services and ruining the end-user experience.

The underlying machine learning algorithms of predictive analytics channelize this explosion of data to purposeful use cases. Flexible storage and computational powers of cloud platforms enable ML models-

a) To extract valuable insight from complex datasets with speed and accuracy.

b) To easily merge with a cloud environment and deploy algorithms over the available data layers for labeling, clustering, filtering, etc.

c) To trace structured and unstructured audience data and contribute to business marketing strategies.

How does Oodles AI deploy ML models over cloud infrastructures?
The AI team at Oodles is working on a machine learning model over Amazon’s Sagemaker (a cloud service). The model is trained with raw CSV data that is labeled using function-specific AI algorithms. The primary objective of this ML model is to extract meaningful insights and predictions about potential resources under the earth’s surface. For this, we use sensor-based drilling machine data to train the model.

Is Low-code or no-code development is future of mobile app development

Is Low-code or no-code development is future of mobile app development

Mobile app development has skyrocketed over these years with the increasing demand of mobile apps for a variety of purposes like entertainment, banking, weather update, health, booking movie tickets, booking a taxi etc. With the latest...

Mobile app development has skyrocketed over these years with the increasing demand of mobile apps for a variety of purposes like entertainment, banking, weather update, health, booking movie tickets, booking a taxi etc. With the latest technologies adopted by mobile app development services, there are different app development approaches which are being practiced. Among them is low-code or no-code development. But will it be the future of mobile app development? Will any mobile application development company start taking this approach as the primary one. Let’s try to find a detailed answer to this question.

But first, let’s understand what this approach exactly is? Well, it is a streamlined approach which involves swift design as well as development with minimal coding, generally relying on different third-party APIs.

Even though there isn’t any single definition of no-code or low-code development because it is actually more of a mindset rather than something which can be directly measured, this mindset has certainly led to a vast community mushrooming up with this mentality. Android app development services are rapidly adopted by this approach. Low-code app innovators are rapidly disrupting all types of various industries. There are a plethora of benefits to these low code platforms and let’s look at this.

1. Less Number of Bugs

It is pretty evident that less code actually means fewer bugs. As simple as that. The entire bug testing phase is actually a major part of modern and latest application development. It is quite inevitable that various issues will come up if there is actually enough code present there. But the best thing regarding low code platforms is that there’s certainly less to test. Also, when they actually tap into APIs, those particular APIs are actually tested by other people.

Lesser number of bugs is better for both users, as well as developers since less amount of time, will be taken up with bug-fixes and troubleshooting. Also, the fast pace of this development approach actually means that if in any case a bug is found, it is generally better just to develop a new iteration rather than fixing it.

2. Significant Lower Costs

Among the most obvious reasons for why you would actually opt for any low code platform is that in reality, low code results in lower cost. Low code development leads to faster app development which saves a lot of time and as a result, lower cost.

It's not only good for companies but also for developers. It certainly cut out the intermediaries, and while they charge less, they use fewer resources and finally come out on top. It is fun for developers because it stops them from actually finding themselves stuck on one particular project which seems to last forever. This is why most of the companies hire app developer who is a well-versed with low-code development.

3. Better Accessibility

The lesser amount of code an application uses, the lesser bandwidth is needed to download it as well as run it. This is quite good news for the people who are based in rural areas or in different developing countries where access to the internet isn’t as prevalent as Western countries. Also, as low code applications can easily be created quite easily than a traditional app, they can easily be released much more swiftly and at a much lower price, and sometimes for free. iPhone app development services follow this approach because it will help in increasing the uptake of their apps as it reduces the entry barrier for every person from lower-income families.

Innovative Development Approach

Among the most promising instances of a low-code or no-code platform is Uber. The apps tap into Google for Maps, Dropbox for storage, Braintree for payments and much more. The most interesting thing about this is that app programming interfaces of APIs which Uber actually relies upon are easily available to anyone who wishes to use them. Uber took those APIs and then used them to create, which was new without requiring to develop each of those particular individual elements, all by themselves. They developed their own brand on top of it by means of looking at how they could actually differentiate themselves from the rest of the others. Mobile app development services should follow this example to create their own low code mobile app which disrupts the market.

The best thing about this is that it inspires innovation. At present, the marketplace actually decides, and only the best applications rise to the top. Also, low code development easily allows developers to iterate much more quickly and can aim for higher more.

The Role of Artificial Intelligence (AI)

Artificial Intelligence is certainly making big waves in different businesses, and as this technology improves further, it will find its way in different other uncharted areas. Among those areas is the low code app development, where it comes in quite useful for a wide range of tasks and actions including the integration of various data sources or just making sense of an entire unstructured or semi-structured data.

Artificial Intelligence is quite great at analysing and conducting trial and error. Hence, it won’t be quite long until the usage of AI becomes quite a standard part of the low code app development. A mobile application development company can find ways to reduce the total amount of code that it is using through AI and flagging potential and possible improvements.

Conclusion

It is quite certain that low-code or no-code app development is the future of app development for one of the simplest reasons that it is quite easier as well as faster and efficiently uses time. It actually doesn’t matter whether Android app development services or iPhone app development services are on-board with this particular change or not. This is quite inevitable as this approach is the path of least resistance. Also, as the inherent demand for low code platforms keeps in growing, developers will certainly find themselves to adopt it.

It is quite a great news as it will push the developers of mobile application development services to become the best. Also, there won’t be any time to redoing it to create the same thing, or any room for sloppy code as well as lengthy development processes which makes the mobile apps redundant even before they are actually finished. Hence, low-code or no-code development will certainly lead the future of mobile app development, and mobile app developers certainly have to get on the bandwagon, one way or the other.

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