Tuesday, January 18, 2022
2022 Top 5 Technical Trends
It is safe to say that organizations will focus on assured success in 2022. While the allure of new digital solutions and the temptation of true transformation will still seem to call, organizations will stick with what works. It does not mean that organizations will not innovate; it means that the innovation will be undertaken with wisdom while staying congruent with the Top 5 Business Trends in 2022. (Click here for more information). Part of that wisdom will also be keeping an eye for emergent situations and technologies that could derail these focused efforts that are highly synched to the stakeholders and executive directions. Organizations will double down on successful technologies and expand their uses while keeping a watchful eye for technical innovation and experimentation.
All the focus on hyper-automation is starting to pay off. Organizations are getting substantial benefits from newer automation approaches. Consequently, there will be additional bets on combinations of technologies that deliver the best returns. These returns will not only contribute to the bottom line for current earnings, but they will also help fund any new tech efforts that management deems essential to compete. The silo technologies coming together to deliver great automation include process/workflow, RPA, Process/Data mining, Business Lead, Low Code, Monitoring, Simulation, Mapping, and Analytics. There are a variety of combinations that have compelling case studies, and many organizations have had significant successes. Putting together a portfolio of initiatives that deliver savings and opportunities to support business directives is a must for 2022. Having a platform of integrated technologies is a big help in providing the benefits of technical combinations. Click here to see example combinations and vendors that have proven success as a Digital Business Platform (DBP)
Ai has proven its value in learning from data, and that will continue to gather steam focused in and around desired business outcomes. When combined with analytic and statistical models, AI can move into more thinking situations on top of the already important detection and pattern recognition duties AI is known for today. The data sources for detection mining will expand beyond traditional data to include images, videos, voice, and communications. The kind of thinking situations AI can move into in the short term would consist of knowledge acquisition/leverage, modeling, projections, autonomous actions on emergent situations. Conversational and explainable AI will make substantial headway in 2022, building on existing success. A new movement in AI will revolve around intelligent chatbots, smart automation bots, and intelligent applications. As AI ethics mature, interactions with our employees and customer will become routine for AI
With the emphasis on hybrid work, organizations have changed how work is accomplished for the operational support of business activity and the projects that are meant to improve operations or tactics while staying on top of business directives. It’s safe to say that we are all finding plusses and minuses of working independently. Suffice it to say that we have to make remote work easier for the workers first because of the skills shits and the supply and demand equation in favor of employees. We have to make it easier on employees. Right now, they have multiple bosses that they are matrixed to at any given time and have to deal with many communications channels and a lot of noise communications. It's not easy to sort through the mass of collaborations because it’s not always clear what task supports what priority directive; consequently, employees are confused and frustrated. In addition, leaders do not have enough visibility on behavior, so they don't know if their assignments are progressing. All can be helped in 2022 with better or new results-oriented collaboration tools tied into real progress. Investing in employees is a crucial differentiator for 2022, and employees will smell insincere actions and vote with their feet.
Managers will be making more integrative decisions that will require more detailed data, often sifted by AI, and need a lateral view that looks for the implications to multiple contexts. It will drive two significant activities over and above the resurgent analytic sectors. One is integrated visibility that looks across the organization and even outside the organization. Often there will be integrated monitoring or management cockpit that will visualize results, notify managers of significant detections and allow them to try different alternatives leveraging prediction, simulation, and various analytical modeling to take appropriate and quick action. The simple decisions will eventually get automated, and autopilot actions will be suggested or enacted. The other is establishing, growing, and managing a data mesh. All of this is entirely dependent on having an intelligent data mesh that knows where the data is and the level of quality of said data regardless of data type (operational databases, behavioral data, voice, or video), no matter where it resides. This huge vacuum is being filled as we speak with emergent and new data management software that catalog and reach into various sources (cloud or not), notifying the manager of the data quality scores.
Innovative management will be taking advantage of new techs as it matures, such as 5G, Digital Twins/IoT, Security Mesh, NFTs, and Digital Currencies. Savvy organizations will try to pick up emergent technologies for their risk culture tolerance at the appropriate stage. If you integrate all of Gartner's hypercycles, you might get a good feel for what is mature and when things might mature for the organizations with low-risk tolerance. Some organizations proactively pick the emergent technology through self-experimentation, others wait for success stories, some wait for competitors to show usage, and others jump on technologies with momentum. Some let the CIO do the dirty work and suggest. Others push ahead without checking the latest tech as long as they don't miss a big push tech like 5G. I would offer a cooperative approach between business and IT to integrate operational and project plans with tech-savvy folks in IT and special folks in the business. Pick at least one in a new category for 2022.
While growth and innovation with better connections to constituents will dominate organizations' desire in 2022, there will be a strong vein of agile practicality dominating the technical scene. While organizations need to treat customers better and measure their behavior, the employees and partners supporting the organization will also need some significant attention in 2022. This means that some automation savings will be allocated to investing in the people touching the organization inside and out. This will require focusing on the use of existing technologies and expanding to the use of new technologies. As a result, organizations will have less unfocused technology activities in 2022, but managers will be keeping their eyes open for technologies not to miss.
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