Artificial Intelligence

What is AI and How Deep Learning help to grow business

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AI (Artificial intelligence) is making machines intelligent that can perform cognitive tasks like humans and even more efficient than humans with the help of complex computer programming and enormous data fed to get an optimal solution for the problem. Though AI came into existence since 1956, but due to lack of data and technology could not become a reality.

Now proceeding further, there are two subsets of AI, Machine learning, and Deep learning. Machine learning gives computers the ability to learn without being explicitly programmed. Deep learning is a subset of machine learning, where deep artificial neural networks work as human brains and have networks capable of learning – unsupervised, from data that is unstructured or unlabeled.

Let us see how deep learning can help to grow business.

Implementing deep learning can be advantageous in many ways. Consider any following needs of your business be it:

• Interviews and Training: The trained human brains can take better interviews considering the company’s requirement without discrimination and partiality and can train employees for future utilization.

• Time consumption: Humans get tired and need time for refreshments. In the minimum time frame, maximum work can be done through deep learning. The pace at which the machine works is quicker than humans, without break or rest. Hence less time consumed.

• Accuracy: A large amount of data fed and information from the web can provide flawless results whereas humans tend to make silly mistakes easily.

• Customer service: Software robots now also can understand human sentiments which can lead to a quality response to valuable customers of your company which helps to retain present customers and gains prospective customers. If we talk about humans, sometimes due to stress or mood swings fails to give good services to customers.

• Innovations: Like humans, these robots can efficiently think about innovative products and lead towards the development of the company.

• Maintenance: Humans repair machines and things when it is damaged or stops functioning. But with the help of deep learning damaged machines/things are detected before time. So, it can get repaired in advance which can boost the company’s performance.

• Security: Depending on past experience and the company’s informative data software automation can detect frauds instantly which humans may not do every time.

Deep learning can save time, power and cost and perform better than humans in each aspect that can make any company grow not only double but up to ten times more. Deep learning is the future of business and will definitely change how most of the businesses have traditionally operated.

Enterprise Solutions

Choosing the Right Engagement Model for Offshore Development

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Offshore development has become highly popular due to the sheer amount of benefits it offers to reduce and control expenses, accelerate company transformation and reduce the time to market and most importantly improve your business focus. However, all these benefits are only possible if you select the right provider and the right engagement model.

When it comes to engagement models, there are majorly three different models available:

  • Fixed cost Model

  • Time and Material Model

  • Dedicated hiring model

Every model has its own pros and cons and you should analyze your requirements before you select one.

Fixed price model: In this model; the scope, requirements, and timeline are defined first and a pre-agreed fixed price is paid for the final product. So, if you have a short term project and are clear with the goals and workflow, this is your best bet. This model, however, provides less flexibility.

Time and material model: In this model, the development is gradual and continuous. If you are willing to invest in gradual progress in the development process, this model is perfect for you. This is a pay per use engagement model and the billing may be hourly, weekly or biweekly, depending on the vendor’s requirements. It’s perfect if you want a flexible and agile project execution. The project requirements need not be as well defined as the fixed price model. The price, however, varies based on the time and effort used.

Dedicated hiring model: In this model, resources are hired for the purpose of development and project management happens in-house. A fixed monthly fee for hiring resources is charged. You have full control over the resources you hire and serve as a good model for long term or ongoing projects.

So, depending on your project and type of engagement you wish with the offshore team, you can select the right model by analyzing the kind of flexibility, control, and type of resources you want. Which type of engagement model do you wish to explore?


Why every mobile app needs to be an intelligent app

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The new genres of intelligent apps have become a fundamental step towards man-machine interactions. Applications that understand the ‘why’ behind the ‘what’ are considered as intelligent apps. Machine learning and data analytics are the backbones of such kind of an app ecosystem. This kind of an ecosystem essentially enables apps to suggest things, provide solutions or behave in a predictive way and in turn increasing efficiency. Intelligent apps have the ability to study user context and preferences, thereby predicting what users need. The main focus for businesses is the kind of experiences they want to deliver. When customer experiences need to be crafted intelligently, it requires the support of equally intelligent technology. Mobile apps have become the center point for customer interactions and each mobile app, if made intelligent enough, creates greater engagement and therefore greater customer satisfaction. Here’s what an intelligent mobile app can do for your brand:

  • They empower software to distinguish between relevant and irrelevant information.
  • They can notify us with solutions to our potential problems and can take action without having to wait for human intervention.
  • Intelligent apps also enable task automation and can perform a predictive analysis to take appropriate action.
  • Intelligent apps create greater customer engagement.
  • As a business, they help improve efficiency in daily operations too.

Intelligent apps include data intelligence systems that are enabled by Machine Learning and provide rich, interactive experiences for users. This is exactly why intelligent apps are not ‘nice to have’ anymore – they are a ‘must have’. A large part of building customer trust and loyalty depends on the kind of experiences they have with your brand. Make the most of it! So, when you think of a mobile app, also think of how you can harness the power of technology to include ‘intelligence’ as an integral part of the app.