Employ your AI as a Smart Partner: Intelligent ways to Leverage Knowledge
What are the best ways to leverage technical innovations as helpful partners? Since the industrial revolution companies have been working to gain the best advantages possible from developments that newly streamline or automate processes. As intelligent systems deeply infiltrate our daily work lives, there is more need than ever to position them positively as smart collaborators instead of technology deployed to be our replacements.
While automation does remove repetitive tasks from daily work routines, especially in the area of assembly line work, new responsibilities also arise to take their place. This is most evident in dealing with Knowledge Management systems.
As we experience global adaptations and adjust to new situations, knowledge becomes increasingly paramount in attaining high-quality performance for employees. In times of great fluctuation, future outlooks are constantly shifting, and gaining forward momentum against a backdrop of uncertainty isn’t easy.
Because of this, obtaining just-in-time information provided by search and AI has a crucial role in helping people make timely business decisions, ensure customer loyalty, and avoid costly production downtime. This is possible due to advanced forms of AI that are programmed into Insight Engines and Knowledge Management systems.
Across the board, people become more entitled to the immediacy provided by technology as advancements are made. This makes instant relevant information a must. There are also other benefits an effective search system offers as well such as predictive maintenance that saves time and money on repairs. Additionally, intelligent pattern recognition can spur new findings and insight from research and even save human lives.
How it Works: Connecting the Dots
So, how does all of this work, you ask? Insight engines work with data that is already stored in multiple silos within an organization and connect them together to populate answers in search results. The generated information provides results that connect the dots between previously separated information depositories. This saves countless hours of manually hunting and pecking around for the correct material.
Insight engines serve as intelligent systems that are armed with AI algorithms to prioritize and minify the exponentially growing mountains of data and documents within large organizations. Many of these solutions have reached a high level of maturity and are often referred to by the terms Enterprise Search, Insight Engine, Cognitive Search, or AI Search.
Look for these Features
What most Knowledge Management systems have in common is that they combine a variety of technologies under one roof: AI, Machine and Deep Learning, Natural Language Processing (NLP), Natural Language Question Answering (NLQA) as well as the semantic processing of content that enables natural human-machine interaction. Look for these features when you’re seeking out solutions for your organization.
The combination of these technologies enables users to get exactly the information they need to complete a specific task at the right time and place. This could be the address of a customer, the technical description of a product, or the sales figures in a certain region.
Personalizing Relevance with Enterprise Search
How do Enterprise Search solutions ensure delivery of only relevant results and avoid burying users in an avalanche of counterproductive info? Making the relevance of information personalized for each individual is what makes successful search results for employees. This is achieved by observing user behavior (assuming their consent, of course) and learning from it. Various factors that are analyzed include the role of the activity, actions taken in the past in connection with certain information, specific search behavior, and even the emotions that users associate with information - a topic closely related to customer experience or the experience economy.
Watch for these Trends
Be on the lookout for these three future trends to emerge as significant game-changers in Enterprise Search systems as they are constantly refined and augmented:
- X Analytics- Gartner defines “X Analytics” multimedia sources such as photos, videos, and other media that have been added to the search engine results to help optimize the supply chain, support medical diagnosis, or enable product recognition, for example.
- Weak Supervision- This is an AI process that eliminates a lot of the manual work and preparation time that goes into training an intelligent system and allows the system to learn independently and improve performance with continuous use.
- Explainable AI (XAI)- When a system is learning independently, the decisions made by the smart system become transparent. Explainable AI provides the logic used to make decisions and predictions.
Thanks to these new developments in intelligent systems like those used for Enterprise Search and Knowledge Management, workers no longer have to manage newly automated processes. Instead, they can combine their experience with artificial intelligence. This generates a great opportunity to see ROI with reductions in the time it takes to complete tasks and eliminate repetitive tasks. This helps people play to more distinctively human strengths like social interactions, creativity, and tact. And best of all, it helps workers spend their time on more impactful activities like strategy, innovation, and problem-solving.