Riding the Crest of the Wave – Artificial Intelligence in 2022

Catching the Wave

We have calmed most of the concern of artificial intelligence replacing workers.  Today, artificial intelligence is part of the fabric of our lives (Alexa, Siri) and an important part of business strategy. A strategy fast-tracked by COVID to deliver efficient and remote business processes. Businesses have dealt with worker shortages, supply chain change and inflation which have accelerated the introduction of the Internet of Things, 5G and artificial intelligence. Validating Sundar Pichai’s, CEO of Google Inc. claim that artificial intelligence will have a far greater impact than fire and electricity on humanity.

Another indicator of artificial intelligence’s impact is where are the best minds in technology going in industry and academia. The most recent Taulbee Survey 2020 by Computer Research Association indicates where the information technology PhD awardees are applying their expertise in academia and in industry. With the data from the report, in academia 17% are pursuing research and teaching appointments in artificial intelligence and machine learning.

At 20% we see similar trends for those PhD. awardees taking an industry career path.

So, when thinking about futures in technology for 2022 it makes sense to start with artificial intelligence/machine learning to identify emerging trends. 

Examining the trends, one must explore the potential within artificial intelligence and the change it will generate.

Considering todays’ artificial intelligence progress, we are experiencing the benefits of enterprise operational efficiency. The following trends will enable progression to the crest of the wave.


Enterprise implementations of artificial intelligence has help overcome the fear of the intelligent machine. For now, instead of machines replacing the workforce, machines analyze data and create information relevant for the workforce. Artificial intelligence augmenting the workforce is present in many professional fields including:

  • Genetics – grouping DNA patterns to study evolutionary biology
  • Dimensionality Reduction – problem simplification by reducing random variables resulting in better data visualization
  • Ecology – comparison of audio recording of regions for comparison of species population for biodiversity

Expanded artificial intelligence use extends the need for data creation and growing AI literacy. This environment will develop more user-friendly tool sets which sort through the data isolating the value creating information for task completion.


Language modeling is an artificial intelligence discipline that is significantly impacting our daily lives. With language modeling, machines and humans can interact and understand with a language that people can understand. Natural language processing (NLP) takes language and converts into computer code that runs programs and applications. In addition to use in intelligent voice assistants (Google, Siri, Alexa) NLP applied to:

  • Web search – allowing algorithms to read text and translate to another language
  • Word processing – supporting grammar and spelling checks
  • Sentiment analysis – analyzing text for intent and processing customer feedback

The recent Open AI release of GPT3 is the most advanced language model to date, approaching the ability to conduct a conversation with users, moving toward literacy. NLP facilitating the human-machine interface will accelerate the democratization of technology in general and the acceptance of artificial intelligence.


With growth of knowledge and machines involved in business operations and our daily lives, there is an increased cybercrime risk. More human interaction and machine additions to the network create more points of failure. Artificial intelligence’s smart algorithms will manage network complexity, detect patterns, and network traffic call attention to dubious activities. Artificial intelligence’s smart algorithms will address cybersecurity by:

  • Network Vulnerability and Threat Detection – faster identification and detection of threats
  • Threat Defense Maintenance – automatic update and vetting of defense layers
  • Incident Diagnosis and Response – quickly identifying what, why and how a breach happened
  • Cyber Threat Analysis and Reports – AI data collection and NLP reporting tools for collecting data and summarize reports for timely distribution.

Through surveillance and antivirus software design, artificial intelligence will serve an ever-increasing cybersecurity role.


Metaverse is defined as a digital environment where multiple users can work and play together. This virtual world concept received a significant boost with the Mark Zuckerberg announcement of creating a metaverse combining virtual technology and Facebook. Users constructing these environments will be able to engage and expanding their creativity. Experiences in the metaverse will involve interacting with AI bots for relaxation and potentially as virtual assistants in selecting products and services. AI will play a significant role in creating and maintaining these virtual environments.

Simple As Possible

With increasing demand for the application of artificial intelligence, organizations are facing an artificial intelligence and engineering shortage in creating new tools and algorithms. This is a huge barrier in adopting the technology at the rate of change. Delivering artificial intelligence and machine language tools requires a sophisticated and evolving set of skills implementing this technology. Addressing this challenge with a set of tools to simplify the creations process will be a priority, but it is important to heed Albert Einstein’s caution:

Make everything as simple as possible, but not simpler.

The artificial intelligence No Code solutions are emulating web designing solutions where users drag and drop modules/features from a library to build a website ready page. No-Code artificial intelligence systems will create smart solutions by combining pre-created modules and supplying solution specific data through intuitive user interfaces. 

Contact Yalo’s resident Data Scientist Rich Krahn for more great insights as part of our data analytics services. Contact Yalo below to get started on a conversation about our many design and development services that can help your business to thrive digitally.


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