Ransomware attacks have become increasingly common in recent years. Individuals involved attack healthcare systems and other installations that contain critical private information to get data that is valuable to their targets. According to recent reports, damages caused by ransomware attacks are increasing, totaling billions of dollars every year. For example, a Boardman, Ohio-based Urology practice paid thousands of dollars to hackers during a ransomware attack in order to get their data unlocked, as reported by Ciso Mag. These attacks take over established systems and only release them when the ransom is paid. Doctors and medical staff are locked out and can't access important patient files, which can place people at serious risk.
During the current coronavirus pandemic, businesses across the world have had to adapt in myriad ways as in-person services and office spaces have been disrupted. Some businesses have not found ways to adapt and remain closed, while others have been able to change on the fly and continue to operate. Remote work has become a new norm for many. But what does all of this mean for the future? In a post-pandemic world, will remote work infrastructure need to be available indefinitely to prepare for future disease spread? Will some workers simply stay remote? Let’s take a look at the future of remote work.
Alexis Alulema - The first time someone hears about Natural Language Processing (NLP), they often don’t consider it to be overly complicated. After some additional consideration, though, they’ll realize how much the AI community has worked on the topic. The technology is even appearing in headlines like this one, as featured on sciencealert.com: Google’s AI has Learned to Become ‘Highly Aggressive’ in Stressful Situations.
As the above article suggests, this technology could become dangerous in the wrong hands or if managed incorrectly. However, I believe that if we get a better understanding of the nuts-and-bolts of NLP, we will conclude that there is nothing ‘magic’ under the hood. Rather, there is a growing, rigorous body of scientific work on creating better algorithms to process data and generate impressive solutions.
Neural Networks have started to become ubiquitous ever since Deep Learning experienced considerable growth with big data, cloud computing, and the appearance of Deep Learning frameworks like TensorFlow or PyTorch. These advancements are visible in areas like Computer Vision (CV), where predictions are incredibly precise and reach 95-98% accuracy. This precision is at the core of impressive advancements in face detection, artificial face generation, self-driving cars, and many other implementations.
In comparison, NLP currently reaches accuracy rates of around 80%. At first glance, it may appear that NLP is not as good as CV. However, I don’t believe this is a fair evaluation, as language is ambiguous and context-bound. For example, a native speaker of a language can often use and understand regional slang and idiomatic expressions comfortably. In comparison, a non-native speaker may have trouble understanding these expressions and might express similar ideas in a different way. These and other factors create a massive task for prediction algorithms, which must attempt to understand idiomatic expressions and much more due to the complexity of language. The best-rated algorithms like GPT-2 require more than 150 GB of data to train the algorithm; for context, 150 GB of training data means days of training neural networks algorithms on super-computers.
I implore you to dive deeper into this topic by reviewing my recently published paper, Deep Learning Methods in Natural Language Processing. In the paper, I attempt to classify the most relevant NLP Deep Learning methods to understand how to use them and identify which situations are best suited for specific NLP methods.
This paper is a state-of-the-art document that will serve as a starting point for researchers or developers who want to become familiar with the broad spectrum of NLP techniques and how to optimally apply them in different scenarios.
Senior Software Architect and Machine Learning Engineer
The agile software development lifecycle is often considered one of the best approaches by industry experts. Studies show that this approach ensures software development teams are 37% faster in delivering products and 16% more productive, which can benefit your company significantly.
Many software development teams follow the traditional waterfall approach, which is fairly straightforward while also being very rigid. With this approach, the design tends to happen all at once up front, with the final product being unveiled at completion.
Such an approach isn’t very suitable for modern markets, especially if you need to develop a complex, large-scale application. Follow along for some tips to help teams that are intimidated by the prospect of transitioning to an agile approach.
Agile relies on collaboration between different teams. it will only be successful after a comprehensive implementation involving all departments from executive and management levels to ground teams. That's why it is important to make sure everyone is on board and agrees to adopt the agile approach. Program sponsors must get management commitment in particular to ensure success. Make sure both business and IT sides of your company agree to get involved before working on the transition.
The Waterfall and V-Shaped software development approaches don’t require much formal training, but agile is different. It is a little more complex and flexible, which means training can help developers adopt it completely. A few training sessions will ensure your team is familiar with the system and knows how to use it well. It will also ensure your staff doesn’t feel confused or overwhelmed by agile’s more complex workflow. Making the transition easier for a development team ensures your end-product isn’t affected by the change.
Communication is an important aspect of Agile because different teams working on different phases of the product must remain on the same page. Communication is especially vital when you're transitioning from other systems like Waterfall or V-Shaped to agile.. Teams should work from the same location and report their progress on a consistent schedule to team leaders. This will help you notice any issues with adaption and clogs in the machine early on.
Agile places a lot of emphasis on collaboration during software development. Teams that were traditionally isolated from one another must communicate regularly to ensure they move through all phases smoothly. That can only be possible if you encourage a collaborative atmosphere. Agile requires team members to contribute their thoughts, opinions, and ideas to the project. It encourages people from different teams to identify mistakes and share them, which helps improve the quality of the end-product.
Experts recommend creating a plan and road-map for agile adoption. This ensures the process isn't as intimidating for your team. Developers transitioning from Waterfall or other methodologies are accustomed to a rigid, straightforward project structure. Agile is more flexible so creating a plan or road-map can help. This plan will change during the project if needed, but it will still provide some direction.
Shifting to the agile model abruptly will do more harm than good. A gradual transition gives your team and stakeholders some room to adjust and adapt their work habits accordingly. This also ensures team members don't develop bad habits that may hamper the quality of their work later.
It is a good idea to bring in an experienced agile coach to guide your team and establish a foundation for the system. This ensures you have a good plan in place and the transition is as smooth as it can be.At Number8, our philosophy is to empower our clients to produce better software, faster. We are experts in augmenting scrum teams with senior consultants that can help increase team velocity immediately. I f you’re interested in learning more about Number8 and what we do, give us a call at (502) 890-7665, or check out our information page.
A software development lifecycle is a term that describes all of the tasks and activities involved in developing an application or program. A lifecycle includes everything from initial planning and consultation to final launch as well as ongoing maintenance.
There are different approaches to software development and every approach has some advantages. Many development teams choose lifecycle systems based on their benefits and their particular requirements. Here’s a brief overview of some of the different software development life cycles used today.
This is one of the most commonly used and popular software development cycles because it is so simple. It works like a waterfall, consisting of a linear sequential flow with one phase of development following the other. Developers only start to work on the next phase after the first phase is complete.
This approach to software development offers several advantages. It is easy to explain to other team members so there’s little room for miscommunication. The structured approach ensures the project remains on track more easily. All stages and activities of the project are clearly defined so all of a team’s members are on the same page. Verification at the end of every phase reduces the chances of error.
Unfortunately, this approach has several disadvantages as well. It is rigid and inflexible so developers are more likely to assume that all requirements are locked in. There’s little room for adjusting the scope or requirements of a project. The waterfall approach is much less unsuitable for large or complex development projects.
The v-shaped model is similar to the waterfall model, with an added advantage of an early unit test phase. The model follows the Waterfall process until software plan implementation, after which it moves upward from unit testing to maintenance. Like the waterfall model, this approach is fairly straightforward and easy to understand.
The biggest advantage of the v-shaped model is that it has specific deliverables at every phase. Developers create test plans early during the lifecycle, which reduces the room for error and improves flexibility. The v-shaped model is ideal for small, straightforward development projects with clearly defined goals and expectations.
However, this model is still very inflexible and it is difficult to adjust its scope once a project has launched. It is not possible to generate early prototypes using this model and there is not a clear structure for correcting errors.
The spiral model or SDM is a great solution for large-scale and complicated projects. This model combines design and prototyping systems, making it more flexible. It still uses the main elements of a waterfall approach as the foundation, assigning different sections for planning, risk assessment, prototyping, and simulations, but offers more options to move backward or forward in the project.
The SDM system has several advantages like more realistic estimates, early developer input, and better risk management.
However, this approach to software development has some disadvantages as well. It can be very expensive and time-consuming. Developers need specialized training to utilize this approach effectively and the system has limited re-usability across different kinds of projects.
The agile approach has become very popular because it offers maximum flexibility and is suitable for all kinds of projects. This approach requires collaboration and movement between different teams as well as phases during the development process. Developers can go back to earlier phases after learning from their mistakes to optimize an application.
This approach has several advantages like decreased development time, time to take input from the team, customers, and stakeholders, and no guesswork. You get high-quality software that fits a customer’s requirements perfectly at the end of the process.
However, agile requires special training and skill which can involve an investment of time and money.
Choosing the right development lifecycle is essential to keep a project on track and ensuring the result lives up to the original specs. A successful software development lifecycle can produce software with the highest quality and lowest cost in the shortest time.
At number8, our measure of success is delivering working software faster. That's why when it comes to meeting a project's full potential, we believe in embracing the agile development model. As an information technology company with many years of experience, we can help any team adopt the practices, processes, and tools needed to deliver with more agility. Interested in learning more? Let’s connect. Send us an email or give us a call and we can get the conversation started.
Provide your information to talk with a number8 Relationship Manager about your development needs today and feel what it’s like to be listened to before being sold a solution.
number8’s onshore office is located in Louisville, Kentucky where our Account and Relationship Managers work hard to provide all of our clients with exceptional customer service. We also have consultant offices located in Escazú, Costa Rica and San Pedro Sula, Honduras that give us a strong local presence allowing for top-level recruitment, technical training and low employee turnover.Our Locations