In 2021, the rate of technological development accelerated. And if history is any indicator, it will continue to do so in 2022. Data Science and Artificial Intelligence are at the cutting edge of high tech. These promise to keep the pace of development high.
If the quantity of forecasts on these topics is any indicator, interest in AI, machine learning, and data science is exceptionally strong. The worldwide AI market is expected to increase at a compound annual growth rate (CAGR) of 33 percent through 2027, according to DataKitchen CEO Chris Bergh. However, this rapid expansion comes with hidden costs. These are a loss of reputation because of prejudice and a lack of accountability in AI operations.
Programming language
According to the TIOBE Index, Python had a fantastic year in 2021. It surpassed Java to become the most used programming language on the planet. What will the flexible scripting language provide in the year 2022? Anaconda predicts that Python will continue to make its way into our lives.
AI and Data
To be successful, AI requires a mix of data and computing (often in the cloud). According to Anand Rao, PwC’s global AI head, AI will collide with data and the cloud in 2022. As a result, it helps to necessitate a more integrated management style.
According to Jeff Whitaker, vice president of products at Excelero, analytics developed significantly in 2021. Yet, enterprises still faced a gap between what they could do in their data center and the sorts of Web-scale deployments they wanted to run on the cloud.
We’ve succeeded in bringing AI to bear on information-rich fields like NLP and image analysis. However, Andrew Kasarskis, Sema4’s chief data officer, sees a significant roadblock in our ability to scale these AI deployments. This may be as a result of one fundamental unmet requirement: efficient data curation resource allocation.
According to Rev Lebaredian, vice president of simulation technologies at Nvidia’s Omniverse Engineering group, synthetic data has emerged to turbocharge some AI applications. And this trend will reach new heights in 2022. Rob Gibbon, a product manager at Ubuntu publisher Canonical, sees a greater use of machine learning and AI in 2022.
We have a wide range of advanced analytic and predictive techniques and technologies at our disposal. According to Marco Varone, founder and CTO of expert.ai, we’ll achieve a new apex in our capacity to put them together in a hybrid fashion. Hence, it allows to accomplish worthy tasks in 2022.
The number of data scientists with the experience and abilities needed to create AI applications has been quite limited. According to Alicia Frame, director of product management for data science at Neo4j, during a recruiting crunch in 2022, the gap between personas would expand.
Data-driven tendency
Many businesses strive to be entirely data-driven. According to Domino Data Lab CEO Nick Elprin, yet, placing too many eggs in the AI basket would be a mistake. Why is that? Since he predicts another large public failure of an algorithmic enterprise.
In the past, AI adopters tended to move toward larger corporations. But, according to Bob Lamendola, senior vice president of technology and head of Ricoh USA’s Digital Services Center, we’ll start to see the SMB join in on the action in 2022.
