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Tech

Deep learning aims to make computers mimic the human brain. It is “inspired by and based on the model of the human brain to create artificial neural networks for machines”. The aim is to make machines express themselves and act in a similar way to us.

There is no degree of passion about this topic that equals the one met with the professionals that develop intelligent machines. Therefore, we want to recommend you a specific article this week.

 

Working in deep learning goes beyond tasks, into enthusiasm

The article pointed out by one of our team members is co-authored by Ronald van Loon and Rodrigo Agundez. The latter is “very enthusiastic about the improvements that deep learning can offer”.

The focus here is on the importance of the technological progress we are witnessing in real time. The post presents as well the huge work involved in the back-end algorithms. As the author says:


Creating machines that are capable of understanding minute differences in words embedded in a context may seem like a very small thing, but requires a very large set of data and complex algorithms to execute.


The accuracy is extremely important in differentiating complex and successful algorithms from the rest. You will see how and why deep learning is superior to AI (Artificial Intelligence), by going through the original post.


Our take


Both the authors benefit from hands-on experience in the field, and share the same passion for advanced technology. This is specific to our team members, too. We can easily relate to their enthusiasm by replaying our own experiences.

 

The article we recommend also mentions how the ubiquitous connectivity that now links software engineers around the globe makes it easier for the cutting edge companies to hire talented developers. Having access to research and open source data, as well as enriching one’s experience continuously through each new project, really opens up the horizon.

 

Once again we feel elated about our field of work – and this is the basic premise for great things!

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Leadership

We enjoyed reading this article published by an infrastructure engineer from Quora, Angela Zhang. It presents project phases, focusing on the right way to do project scoping, in a realistic and efficient manner.

As we enable teams to deliver products to market faster, efficiency is key. We facilitate delivery in multiple markets without having to incur the costs and time delays in ramping up permanent organizations. Subsequently, have learned hands-on how to speed up the R&D process and reduce time to revenue, as well as reduce burn rate. Indeed, developing a realistic and revised version of the project plan is important.


The article we recommend talks about a few best practices in the field. It is concise and it provides a good insight view. To quote just a couple of paragraphs:

De-risk the project as soon as possible. Two common ways of de-risking a project include (1) working on the riskiest parts upfront, and (2) prototyping the riskiest parts using dummy data and/or scaffolding. Whenever a new open-source system or external service is used, that usually represents a big risk.

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Define measurable milestones to get to the project goal. Schedule each with a specific calendar date representing when you expect this milestone to be reached. Then, establish some sort of external accountability on these milestones by, for example, committing them to your manager and setting up milestone checkins.

*Visit the freeCodeCamp page on Medium for similar articles.

*Our way of working ranges from fixed-cost projects to time & material projects. Also, the types of collaboration available include extension of the team, feature teams or entirely independent product teams.

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Tech

Businesses deliver globally, and digital is the new-gen universal language. In sync, the workforce becomes increasingly dispersed. The horizons opened up. Now it’s just a matter of supply meeting the demand, in international software human resources.

An idea becomes a viable product or prototype in one place. The resulting product manufactures in several points around the world. Thus, producing closer to the customers decreases delivery costs.

Software engineering is free from geographical constraints. A solid digital infrastructure and local talents enable great achievements to come from any corner of the planet.

The businesses follow skills and cost savings. Browsing the local resources turned into browsing the globe. New business models are in practice. Each company just needs to find the perfect fit for its own operations.

 

The modern business models

 

Workforce engagement models take two classical forms. A company can decide to “organize the remote delivery of software development services”. Thus, it may choose the captive subsidiary option. This better suits large companies and conglomerates. Allotting core functions and critical activities to new subsidiaries is a common practice.

The other model is third-party outsourcing. Suited mostly to projects having clear requirements and deliverables, outsourcing is extremely popular. Maintenance and support can also benefit from outsourcing. In this case, we are talking about a type of dedicated development center.

IBM features a detailed article on the right choice between captive and outsourcing. Their presentation is backed by figures and studies. You may take a look here and get inspired on what your next step should be, BP-wise.

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News

We wish a Happy International Women’s Day to all our colleagues from the company, as well as from our partners’ staff.

The question of how women benefit from equal chances is often the topic of this day. Especially when we think of rising through the hierarchy and reaching top leadership positions. Resilience serves in overcoming the struggles – and it also strengthens abilities and personalities.

Nevertheless, the opportunity needs to be available for women to begin with.

We found an interesting LinkedIn article that points out the main necessary skill for women leaders – in Sheryl Sandberg’s view. Find out here in the source-article more details, as well as three tips to build resilience into your own life.

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Tech

The modern economy favors software offshoring and outsourcing. Rich countries deindustrialize and a wave of structural transformation ripples globally. Therefore, companies reshape their boundaries. Consequently, the desire to increase the quality of services and to save costs materializes in outsourcing partnerships.

Software development outsourcing follows the trend

Externalizing the software development needs is a common business practice. While it is not deindustrialization, it is a form of process acceleration. The HQ staff design and coordinate, and the third-party handles the software engineering processes.

Get the overall image from this VoxDev comprehensive source-article. You will find out what is the forecast, as well as what are the biggest challenges the business world is facing now. You will be able to put software outsourcing into context.

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