Data-Driven Intelligence and Innovation Through AI

AI’s Impact On Employers

Learn about data-driven intelligence and innovation through AI.

Learn about data-driven intelligence and innovation through AI.

Artificial intelligence (AI) and machine learning (ML) open new opportunities to take over business processes. ML once had to be hand-coded and hardwired, but today, coding is easier than ever. Embedding smart technologies like AI and ML within business systems allows the process to become more intelligent and save a significant amount of time. Continue reading to learn more about data-driven intelligence and innovation through AI.

AI will affect employers more than employees, but they will have to make changes in order to take advantage of the impact. In the U.S., 22% of companies that have published an annual report recently have issued parts of their profits to AI. In fact, organizations doing the most with ML have experienced 43% more growth on average than those who haven’t yet started AI or ML. AI is becoming core to business strategy, and many companies find that the first step in making AI successful is to improve data management. Bad training data will always limit the effectiveness of AI and ML, so transparency, data quality, ownership, and governance are crucial for AI and ML success.


New technology such as AI requires new rules, and there must be design principles that provide transparency on how AI comes to its answer. A smart approach is to take a problem that relates to one specific customer, find the elements of that problem that are common throughout the industry, then define the elements and the technology used to solve the problem. By making the technology available as industry innovation kits, it helps customers address common challenges.

Design Thinking

The best practices for design thinking involve taking a user-led approach to uncover insights, co-create ideas, and advance new technological innovations to market. Design thinking is all about open innovation and rapid-design development; other innovation processes can take a few years, while design thinking delivers results in just a few weeks. There are many rewards of the design-thinking approach, as participants can leave a workshop with viable concepts and prove that no time or money was wasted.

A few examples of the success of the design-thinking approach include reducing downtime by 40% as the equipment can predict and self-heal failures, decreasing costs by up to 68% by integrating AI during the manufacturing process, and increasing employee retention with analytics and ML, and many more. With so many benefits available, it’s time for all companies to start thinking about how AI and ML can fit into their strategy for digital transformation.


At Critical Systems, the people come first, from our employees to our customers. We strive to attract and develop the best talent in the business. Our goal is to deliver innovative solutions for the purpose of making every building secure, efficient, and effectively managed. Serving the Washington D.C., Northern Virginia, and Baltimore regions, SEBCSI provides innovative solutions for your commercial building or facility. Visit our website and follow us on Facebook, Twitter, Instagram, LinkedIn, and Google+ today! If you’re looking for more information or interested in working with us on your next project, please contact us!

This entry was posted on Monday, January 28th, 2019 at 12:13 pm. Both comments and pings are currently closed.

Comments are closed.