Featured How Leaders Can Use Technology To Motivate Their Workers

Published on April 7th, 2022 📆 | 4641 Views ⚑

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How Leaders Can Use Technology To Motivate Their Workers


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The aim of technology is to simplify business processes, alleviating the burden on human workers and implementing systems that maximize the benefits of human-machine interplay. This is no mean feat, and one that leaders in tech have worked hard to achieve for decades.

With accelerated progress and applications for artificial intelligence (AI) and machine learning (ML), there has at long last been a breakthrough. What was once the stuff of sci-fi has now become business as usual, with data-savvy algorithms and even roboticized equipment running around the clock to amplify efficiencies. Leaders who are thoughtfully integrating high-tech solutions to benefit workers are the ones with an eye to the future.

The Unscalable Element of Business

It is well known that one unscalable element of business operations is human capital. People have a limit. Pushing them to that limit led to things like The Great Resignation. Technology is an answer for overworked humans, and a way to scale a business while accepting the reality of human capacity.

Cognitive Technology to Empower Human Achievement

One company, HyperAspect, has provided a platform to facilitate this, synthesizing intelligence and activating something called “cognitive technology” to empower human achievement. Every business is living in a world of big data, and vast datasets long ago outpaced the ability of human staff to wrangle, and make sense from that data.

It’s clearly a challenging task, but the value many companies can create and sustain relies heavily on what people learn from data. HyperAspect solves for this by democratizing data ingestion and analytics. Through the power of AI, ML and algorithms, the company has created a system that implements complex conditional logic within data flows, enabling humans to develop powerful applications and easy-to-view dashboards. There are numerous applications in various industries, and here are some examples.

Healthcare — The inefficiencies of healthcare are well-known, and few fields are more data-rich. From patient records to equipment tracking to operational trends, visible, accurate data can make a considerable difference among today’s healthcare administrators and professionals. Monitoring treatment effectiveness and improving productivity are just two of the benefits of clean and efficient data practices in healthcare.





Finance — Venture capitalists have been busy over the last couple of years, with record-breaking numbers of startups and an influx of capital into busy markets to launch innovative products. VCs and financial institutions alike face the prevalent challenge of fraud, as well as the logistics of moving money and maintaining compliance. Cognitive technology that manages data has the power to streamline processes, making it easier to manage funding requests and process monies.

Retail — It’s never been more critical for retailers to understand a customer’s wants and needs, such as through voice of customer (VOC) methodologies. Getting real-time feedback is the only way to respond fast enough to consumer demands and desires. Gathering this information, then organizing it so that it’s useful, is the task of AI, ML and algorithms.

Legal — Companies worldwide face legal guidelines, standards, enforcement and more in various contexts. One of those areas is in intellectual property: With the aforementioned uptick in new products and services on the market, there is also an increase in contracts, patents, and IP. All of this must be meticulously tracked, a process that is increasingly urgent, and increasingly digital. Swift aggregation of unstructured data from the web is a competitive differentiator in today’s markets. This and more benefits are switched on with one-of-a-kind solutions that offer not only the right functionality but the right outcomes.

Bridging the Gap Between Efficiency and Application

It is not enough to just have data or even to organize and report on data. It must be used. This is where the inflection point is reached, and where most current data analysis systems or handlers fall short. For data to be truly effective for leaders in businesses of all kinds, it must be fast enough and accurate enough to inform decision-making.

Cognitive technology that bridges this gap with the right technology and advanced analytics is the ultimate win. Systems that can capably collect data from online sources can empower company leaders to gauge and understand customer behavior. What’s more, data tells the truth, showcasing trends that could uncover fraud or malicious actors.

Visualization enables leaders to quickly spot patterns, which always leads to valuable insights that no other source provides. What’s more, the timeliness of these insights is potent: the sooner leaders can see a storyline, the sooner they can respond proactively to shifting dynamics, either outside or inside their own companies.

A Mission Critical Endeavor

Ultimately, handling data better is a mission-critical endeavor for any company that wants to grow. Leaders with an eye to making an impact in any sector will begin to strategize about the highest and best use of data. Finding a system that can upgrade data-intensive processes will be a point of competition among growth-minded leaders. Contained within data are actionable business insights that will ensure company growth. The right system can empower visionary leaders to crack the code, unlocking the power of data and securing a growth trajectory.

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