Скачать или смотреть Tech Talent Shortage: Five Cutting-Edge Technologies to Adopt

At Accelerance, we have identified two key trends related to emerging technologies that software outsourcing are embracing:

Hyperspecialization: The need for businesses to go deep in technical areas to maintain a competitive edge, is challenging IT leaders' current skills sourcing strategies with no end in sight. Software development outsourcing is an increasingly popular way for IT leaders to find specific skilled programming teams that are in short supply. A group of proactive software outsourcing firms have geared up to meet this need.

Tech Value Networks: As companies seek to digitally transform at a faster pace, they’re finding a traditional value chain approach just isn’t cutting it. In this shifting IT environment, more adaptive, distributed supplier ecosystems are becoming the new norm. It's the rise of what Accelerance calls the "Tech Value Network" - essentially a portfolio of pre-vetted partners and suppliers easily accessible on demand. This method is being used to remove bottlenecks caused by skills shortages, drawing on a geographically diverse spread of talented developers.


In 2023, five emerging technologies in particular are gaining traction and without a strategic approach, including approaching software outsourcing with fresh eyes, the tech talent shortage could hamper your efforts to use them to full effect.

1. Generative AI

The potential: Artificial intelligence is the trending technology of 2023, thanks in so small part to the success of OpenAI’s ChatGPT and the promise of generative AI systems built on large language models to transform aspects of business operations and customer service. Virtually every company is now investigating the potential of AI to make sense of information, and to generate content and even computer code. Chatbots are drawing on AI to transform customer service and deliver insights within businesses based on the data they produce.

The tech talent threat: AI is considered a field of research and development in its own right, but draws on well-established programming skills and commonly deployed languages such as Python and Java. General developers have a pathway into AI development; however, according to Accenture's Digital Chatbot report, a lack of skilled talent to develop and work with chatbots is the top-cited barrier to implementing conversational AI services.

Strong data analysis skills are also crucial to AI development as is experience working with large data sets and technologies such as Hadoop, Spark, and NoSQL databases is necessary for processing and analyzing large-scale datasets. A solid understanding of statistics and mathematics is critical for building and evaluating AI models. Only a subset of software developers have these skills, making AI developers highly sought-after, particularly in the post ChatGPT wave of interest in generative AI.


2. Web3
Unfairly tarred by the crypto brush and the crazy world of NFT (nonfungible token) auctions and coin exchange collapses, Web3 has real potential. It spans a whole host of technologies that, unlike the traditional internet, which is centralized and controlled by a few large corporations, is instead designed to be decentralized, secure, and open.

It has the potential to revolutionize a wide range of industries, including finance, healthcare, education, and media. But there’s a problem…

The tech talent threat: Despite the crypto winter, Web3 companies flush with venture capital funding are still developing their platforms and struggling to attract talent. Between April 2020 and April 2022, job postings for blockchain technologies, crypto, and NFTs jumped 804%, according to jobs listings website Indeed.

Read the blog: https://www.accelerance.com/blog/five...