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Jens Erik Gould Explains How Outsourcing Talent Models are Reshaping the Future of IT and Software Engineering

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It used to be that when a company needed new software and tools, they would get their internal IT team to dedicate time, money, and effort to the project. But as Amalga Group CEO Jens Erik Gould explains, while that was one of the only viable ways to get the job done, it wasn’t always the most efficient or effective use of resources.

Even 20 years ago, common alternatives were picking an off-the-shelf solution from a large software provider or outsourcing that work to a small local company or far-away overseas company.

“A lot has changed in recent years. New outsourcing talent models have reshaped the future of IT and software engineering,” says Jens Erik Gould. “Businesses can now realize immense benefits by nearshoring outsourcing services to companies with high-end IT talent in Latin America.”

Below are some of the leading outsourcing talent models that are reshaping the future of IT and software engineering.

Staff Augmentation

Staff augmentation isn’t a full-on outsourcing of services. Rather, it’s a hybrid model that involves supplementing your in-house IT department with external IT specialists on a temporary basis.

This model is ideal if your IT team has expertise in one area but lacks it in a related area, or if you want to expand your existing team at a lower cost.

“Let’s say your IT team has created a great new app for Android mobile devices but isn’t familiar with how to create a version for Apple devices,” says Jens Erik Gould. “You could leverage staff augmentation at a nearshore outsourcing company to hire experts who are familiar with iOS app development. And just like that, your problem is solved.”

This saves the company from going through the arduous process of recruiting, interviewing, hiring, and onboarding, which cuts down on the amount of time it takes to bring the new app live.

Managed Team

According to Jens Erik Gould, another option is to take a specific IT project completely outside the realm of your company. In the managed team model, you hire a nearshore outsourcing company’s team to handle the entire scope of work for a specific project.

The nearshore team wouldn’t work directly with your company’s IT team members. Instead, they would likely report directly to your CTO, project manager, or another leader.

This model proves useful if your company’s IT team doesn’t possess a specific skill set or if a new project you’ve taken on is outside the realm of what you normally do.

“Instead of investing the necessary resources to ‘up-skill’ your employees with talents they may never need or use again, you can utilize nearshore outsourcing,” says Jens Erik Gould.

Project Based

A final transformative outsourcing method is what’s known as the “project-based” model. In this model, your company completely turns over all aspects of an IT or software development project to a nearshore outsourcing company.

This nearshore company then handles every stage of development—all the way from the planning phase to the final release of the product. According to Jens Erik Gould, this model is perhaps the most common one used in the software development sector today.

Why? Because it doesn’t require your company to have any IT talent at all. You simply tell the nearshore company what you want and how you want it, and their job is to meet your expectations.

“All these outsourcing talent models are completely changing how companies are approaching IT and software development—for the better,” says Jens Erik Gould.

About Jens Erik Gould

Jens Erik Gould is the Founder & CEO of Amalga Group, a Texas-based nearshore outsourcing company specializing in providing highly qualified talent in IT, software engineering, and contact centers. Previously, Gould spent over a decade reporting on topics such as business, politics, and energy in the United States and Latin America for esteemed media outlets like Bloomberg News, The New York Times, and TIME Magazine.

In the UK, World’s First AI-Powered Web 3 Internet Search Launches by yoursearch.ai

Startup Introduces New Way To Search The Web Via Open Source Web App or Messenger With AI-Generated Text Response & Configurable Algorithm, Alongside Other AI Services
In the UK, technology startup, yourchat.ai Ltd., have recently announced the launch of its innovative AI services via ChatGPT, yourchat.ai and yoursearch.ai.
On yoursearch.ai, users first enter their search query in a web app or Messenger. The chatbot then sifts through the best Google search results with the help of ChatGPT and answers the question as a text answer – including the sources of where the results were found. Unlike a traditional Google search, users do not have to waste time searching for their desired answer(s) from various linked search results. Plus, users are never bombarded with any ads while using the service, which is much faster than Microsoft’s Bing with GPT4.
The web app also offers an editor mode where users can customise the search prompt; users can share their best prompts on all public platforms with #yoursearch and get a $5,000 reward as well as a job offer if the startup uses it on yoursearch.ai.
“Now is the time to rise from the dark silicon valley to the sunlit path of AI and Web 3,” said founder & serial entrepreneur, Dr. jur. Can Ansay. “I intend to lead the AI and Web 3 revolution in the best interest of users and humanity by putting the power back in the hands of users; not only will people have access to and help shape our innovative services, but 60% of my profits and voting rights as a sole shareholder will be distributed directly back to users and the linked website creators. Investors are also excited.”
yourchat.ai harnesses the power of formerly launched AI services via Messenger, which, unlike their conventional use via browser, works faster, is easier to use, and is completely free to users. Whether you’re looking for advice, fitness tips, text writing, or a new recipe, just ask the AI and it will tell you anything you want to know, instantly. Users can also receive AI images via Messenger using just a text description.
The company will also be launching two additional services in the coming weeks: yourfriends.ai and yournews.ai. With yourfriends.ai, users can add unofficial celebrity chatbots as Messenger friends, allowing them to connect, learn, and converse in a new way with notable figures like Elon Musk, Jesus, or any person in history. AI expert chatbots can help with learning, weight loss, career advice, and spirituality, to name a few.
With yournews.ai, users will receive news that is automatically summarised by ChatGPT via a dedicated web app for free – even through Paywalls. News from foreign websites is translated into a user’s native language, and users can even filter news by rating and specific emotions triggered.
yourchat.ai Ltd. CEO and founder, Dr. jur. Can Ansay is a serial social entrepreneur from Germany. After a successful career as a lawyer, he developed an AI medical diagnosis app in 2013, he then founded an eHealth company in 2018 that topped nearly 700,000 users. In 2021, he launched an AI bot for personalized therapy options and created free online COVID-19 self-test certificates, and in 2022, he launched the first legal online store for cannabis flower in Europe.

Fundamental AI Problem Solved by UK Startup Zoea for Code Generation

London-based AI startup, Zoea Ltd, has created a ground-breaking yet simple approach that massively minimises the combinatorial explosion in certain classes of problems. This phenomenon arises when the number of potential states in a system grows exponentially, such as the possible board configurations in a chess game, which makes solving many problems extremely difficult, if not impossible. The issue is particularly prevalent in AI but can also arise in other domains. 

The new approach has been developed within the context of the existing Zoea code generation system. Zoea transforms a set of test cases, comprising example inputs and corresponding outputs, into code directly, using a classic AI technique called Inductive Programming. Inductive Programming provides significant benefits over deep learning, such as greater transparency and the elimination of the need for training. However, it also suffers from the combinatorial explosion, which was the primary problem that Zoea set out to solve. 

Zoea’s breakthrough method reduces the amount of work required by between five and twenty orders of magnitude, depending on the size of the required program. This is equivalent to the difference between a problem taking around 950 years to solve verses taking just three seconds. 

The approach relies on the fact that programming languages have approximately 200 instructions, but most individual programs use fewer than ten of them. Therefore, if one could guess the instructions required for a given problem, it would be much easier to solve. In the new approach, guesses take the form of thousands of overlapping subsets of instructions, each containing between ten and fifty instructions derived from existing code. 

The probability of at least one subset containing all the required instructions is very high, as the distribution of instructions used by human developers is highly skewed and these patterns are preserved in the subsets. The subsets also allow problems to be tackled by hundreds or thousands of computers in parallel, with minimal duplication of effort due to overlap. Furthermore, even with thousands of subsets, less than ten guesses are required to find a solution in 50% of cases. 

This approach will enable Zoea to produce much larger programs in considerably less time, making Inductive Programming a more compelling option for AI-based code generation. Additionally, variations of this approach may help address the combinatorial explosion in other areas of AI and computing. 

“Some of the best brains in AI have been trying to solve this problem for decades” says Edward McDaid, CTO at Zoea Ltd. “The answer has in fact been hiding in plain sight the whole time”. 

“So far we’ve only scratched the surface with this new approach. There are a lot of improvements and refinements that are possible which could deliver even bigger benefits”. 

Full details of the approach and the results have been peer reviewed, published and were recently presented at the ICAART 2023 AI conference in Lisbon. 

A preprint of the paper is available here and a non-technical blog post is available here.