‘Tis the season for 2022 analytics predictions

When it comes to forecasting what lies ahead for the analytics field in 2022, who better to ask than analytics professionals whose work often revolves around, well, predictive analytics. With that in mind, we gathered predictions by six analytics professionals from three different organizations. Here’s what they had to say.



Sam Buttrey, an associate professor of operations research at the Naval Postgraduate School in Monterey, Calif., won the first-ever Professors Tournament on the popular TV game show Jeopardy! hosted by Mayim Bialik. Along with $100,000, Buttrey earned an invitation to the trivia show’s annual Tournament of Champions.

Fujitsu Limited and the Center for Brains, Minds and Machines (CBMM) headquartered at the Massachusetts Institute of Technology (MIT) have achieved an important milestone in a joint initiative to deliver improvements in the accuracy of artificial intelligence (AI) models. The results of the research collaboration between Fujitsu and CBMM are published in a paper discussing computational principles that draw inspiration from neuroscience to enable AI models to recognize unseen (out-of-distribution, OOD) data that deviates from the original training data.

Women in Analytics (WIA), an organization whose goal is increasing visibility for women making an impact in the analytics space, recently announced it is rebranding its annual conference. The new name, the DataConnect Conference, better reflects its mission to help attendees learn about all topics that touch on data – data science, analytics, data management and AI – while connecting with others in the global data community.

In an on-going project, AMA tasked the Institute of Data and Analytics (IDA) at the University of Alabama with developing and implementing a geographical information sciences (GIS) framework centered on contemporary evidence-based approaches connected to common geospatial determinants of health. The analytic framework allows AMA analysts to examine physical access to healthcare in the presence of factors unique to Medicaid populations, and identify regions in need of more AMA licensed providers.

Companies across industries are increasingly using automation technologies to improve their business processes or reinvent their organizations. However, reinventing a business through automation requires enlisting the entire organization, and many companies are still struggling to overcome hurdles. Bain & Company partnered with UiPath, an enterprise automation company, to understand the challenges that companies are facing on their automation journeys, including encouraging employees to more enthusiastically embrace these new technologies.

When COVID-19 emerged at the end of 2019, little was understood about the disease. MIT researchers and scientists at Janssen Research & Development (Janssen) leveraged real-world data and applied artificial intelligence and machine learning (AI/ML) to help guide the company’s research efforts into a potential vaccine.

According to a recent research report executed by Blueprint, there’s substantial evidence of the tangible returns organizations see from their process discovery efforts. Yet, even with those strong realized benefits and outcomes, the research has also uncovered considerable challenges with task mining tools and gaps in functionality, begging the question, what comes next?

2022: The Emergence of the Natural Language Enabled Enterprise

The natural language enabled enterprise is an organization in which humans and artificial intelligence (AI) work side by side to deliver business outcomes with an effectiveness that far surpass what can be achieved when either is deployed independently. It’s a fundamental paradigm shift with immediate consequences for enterprise AI. In 2022 and beyond, successful AI projects will involve a cooperative paradigm predicated on two much more dependable presumptions.



Expect RPA to continue exponential growth in 2022 and beyond

COVID-19 permanently altered the way in which we all do business in a multitude of ways, not the least of which may be the unprecedented growth robotic process automation (RPA) has experienced over the past two years. Using the latest analytics to rapidly change priorities in order to improve both production and back-office operations, the RPA market took off in response to the remote working conditions and surges in supply and demand brought on by the pandemic, and continues to grow exponentially.


A quantum future for medical breakthroughs

The need for rapid development of vaccines and other therapeutics has never been greater. Nobody wants a repeat of 1918 or 2020, and the good news is we’ll likely be ready to beat the next once-a-century pandemic – as long as quantum computing lives up to the hype.



Hira Fatima

Hira Fatima

Describe any barriers you see for those who are not certified.

Having this certification is surely a big bonus for those looking for a job in the data science/analytics space, especially if making a career change. Having the certification would certainly give an edge and help candidates on the job market to stand out.

Read the full Q&A here.

How data fabrics are disrupting the analytics world

When properly implemented, data fabrics are a key technology area in artificial intelligence (AI), an ideal means of preparing data for machine learning, and an irreplaceable component in modern data integration methods that deliver better, faster and less expensive analytics than almost any other approach. The closer we can bring the common-sense business terminology and questions as the underlying fabric of data in an IT ecosystem, the more agility the enterprise builds to establish trust with highly connected and context-rich data to assist customers along every step of their journey.



Techniques for Accelerating Innovation

innovation techniques part 1

Part I: Why innovation is so hard

This is the first in a series of blogs that will explore a new approach to innovation and this installment will begin by examining the limits of traditional methods to innovating.

Read More

Why does your business need to maintain high-quality data?

Regardless of a company’s industry or specialty, it’s increasingly important for the organization to ensure ongoing access to high-quality data. Here’s a closer examination of why dependable information supports success.



Sammuel Hobbs

Sam Hobbs

Do you think that earning aCAP is important for students?

Yes. Too often academia focuses on teaching and examining students’ ability to write the math formula or code to an existing statistical or machine learning algorithm. Value from analytics is much more than ‘knowing a math formula.’ I appreciate and endorse the exam for its focus on defining, designing, and managing analytics projects.

Click here for the full Q&A.


Inside Story

Predictions for 2022: What the future holds for analytics

Things change fast in the analytics field, and those who make predictions about its future do so at their own peril. Nevertheless, for this January/February issue of Analytics magazine, we gathered predictions and trends for 2022 and beyond from a half-dozen analytics professionals

Letter from the Analytics Society President

blue newsletter
The Business of Busyness

In his previous letter, Analytics Society president Harrison Schramm promised that how we talk about data was the No. 1 thing on his mind, and that in the sequel, he would address the No. 2 thing: our preoccupation with being busy. Here is the sequel.

Analyze This!

A Nod to the ‘Node’

The columnist discusses the complexities associated with capturing and storing medical testing data, especially in environments with limited resources and less well-developed infrastructure.

Healthcare Analytics

From Metaverse to AI

Every year, I do a yearly roundup of the healthcare industry looking back at things like the emergence of new health technology or the growth in investment in this space. This year will be no exception, and 2021 was an interesting year to say the least.

Five-Minute Analyst

Greedy Guess Who

Google the game “Guess Who” and you’ll find that many people have studied it in much further detail than I intend in this five-minute article. As designed, Guess Who is a great example for probability calculations and decision trees. While it is marketed as a game, it is more an exercise in probability and decision theory. Sure, you can try to trick your opponent, but the reality is that your actions should not influence your opponent. All the possible outcomes are known.

Click here for the full blog series Understanding smart technology - and ourselves by Joesph Byrum
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