Five blockchain use cases: from property to sustainability

Blockchain use cases have to be identified before the technology can be adopted. Five experts do exactly that across their respective industries Five blockchain use cases: from property to sustainability image

As with any technology, blockchain development has to solve a problem. Industry use cases will help bring the infamous tech into the mainstream.

Blockchain is touted as a game changer technology. But, without industry blockchain use cases, it will never reach its predicted potential.

The blockchain development services have already been proclaimed a potential saviour in industries, such as the supply chain, logistics and finance, or rather a number of use cases have been identified, but — really — it will have an impact on a wide variety of industries, in a number of ways.

Below, five experts explain how blockchain technology will impact their respective industries.

Kubernetes and The Future of Software

While Kubernetes is still not in production at most enterprises, Italy's biggest bank shows the way forward.

Kubernetes has become a standard infrastructure API with a gravitational pull that vendors like Red Hat, Mesosphere (now D2IQ), and Pivotal have been unable to escape. If you're in the business of enabling enterprises to build applications, you've got to support Kubernetes. Period.

For those application-building enterprises, Kubernetes adoption has remained somewhat aspirational, with a 2018 CNCF survey finding 40% of enterprises running Kubernetes in production. Among those 60% not yet on the Kubernetes train you'd expect to find risk-averse banks. As an industry vertical, unlike their hedge fund and trading cousins who constantly push for an edge, traditional banks don't like crossing technology chasms unless they have to. These are people who still run their ATM networks on 30-year-old mainframe technologies.

How AI transform traditional software development

6 Ways AI Transforms How We Develop Software

AI is transforming all business functions, and software development is no exception. Not only can machine learning techniques be used to accelerate the traditional software development lifecycle (SDLC), they present a completely new paradigm for inventing technology.

Traditionally, developing custom software applications requires you to specify in advance exactly what you want the system to do and then hand engineer all of the features of your technology. Encoding many tasks in an explicit way is possible, as computers before the advent of AI were still quite powerful.

There are many tasks and decisions, however, that are far too complex to teach to computers in a rigid, rule-based way. Even an activity as seemingly simple as identifying whether a photo or video on the internet is of a cat is beyond the reach of traditional software development.

Top IT Outsourcing Trends for 2019

Top Software Outsourcing Trends for 2019

The demand for contract IT talent will increase as more businesses take advantage of outsourcing instead of hiring specialists in-house. Here's few of the future IT outsourcing trends that you can watch in 2019.

As the gig economy grows, more and more businesses will look to hire independent contractors for their IT and software development needs. For software developers and businesses, understanding the future trends in the IT outsourcing is important for succeeding in the industry. Here are a few of the future IT outsourcing trends to watch in 2019:

Less focus on reducing costs

Outsourcing development is and will always be about cost reduction. However, this alone will not be the deciding factor when it comes to choosing a offshore software development partner. The relationship between the outsourced software developer and the client will become more human-driven and about process, rather than being solely price-oriented.
The client will focus more on getting a quality product delivered. IT outsourcing companies will become the partners and system integrators for their clients. The risks of the project will be shared, and the outsourced talent will focus on offering value-added services to the client.

Offshore software development risks

Offshore Outsourcing software development is a concept immediately thought of by businesses as a huge money-saver. It is a practice used by different companies in an attempt to reduce costs, by transferring portions of work to international suppliers rather than completing it internally. This means businesses start to consider offshore outsourcing to software companies incountries like Vietnam and India, due to their lower wages and running costs. While offshore software development outsourcing often make claims suggesting they are 80% cheaper per hour, outsourcing software has many hidden and costly risks that can add up to a more costly bill than anticipated.

Why businesses should be putting mobile app development first?

Everywhere you go these days, you see people in the same posture: head bowed, barely perceptible movement, eyes focused downward. They're all doing the same thing, peering intently at a mobile device—at an application made possible by mobile developers.

Mobile is now the dominant way that people interact with the Internet, as Andreesen Horowitz's Benedict Evans points out in his presentation "Mobile is eating the world." It's not surprising, then, that mobile app development is becoming a critical enterprise IT skill. So why do so many IT organizations still outsource it?

While mobile has been a force in Internet use since 2007, when the iPhone launched, today it is the clear leader in Internet client devices. And mobile is only going to get more dominant as more people shift more of their Internet activity to phones and, crucially, as much of the rest of the world adopts smartphones as their initial—and only—Internet device.

AI and Machine Learning in Financial Services

The Future is here- AI and Machine Learning in Financial Services

What is the difference between AI and Machine Learning? 

AI is the concept of machines performing tasks that are characteristic of human intelligence — it is the all-encompassing phase that is highlighted in multiple Sci-Fi movies like Terminator, Matrix, etc. The concept of AI is to address things like recognizing objects and sounds, learning, planning and problem solving.

Today most of the AI used in a business context is specific to one area, it displays characteristics of the human intelligence in one specific area like sound, image recognition or problem solving. The evolution of AI to replicate multiple aspects of human intelligence is the next stage in its evolution and that is the focus of new emerging AI initiatives across industries.