Sinequa Assistant brings GenAI to the workplace Watch the video
A company’s institutional knowledge constitutes a competitive business advantage today. It’s no longer enough to collect and store information. A good knowledge management strategy now needs to consider how teams find, use, and build on the valuable knowledge your organization has painstakingly acquired over the years.
Today, uncovering knowledge and expertise at work starts with a simple search. But when your company has many systems that employees must trawl through, they waste time and miss valuable insights. This leads to increased frustration and hampers productivity.
Your employees deserve a better way to search for knowledge and expertise.
Check out this eBook, where you’ll learn:
Our customers are mission-driven trailblazers, determined to not only improve the world – but also change it. We help power a more connected, efficient workplace so leading companies can rely on a more empowered, action-oriented workforce.
Remove limitations, fuel your workforce – Knowledge silos, disjointed teams, and legacy systems are no joke. Sinequa helps you overcome infrastructure and organizational barriers that stand in your way, helping you create a connected, efficient, modern workplace.
Today’s knowledge for tomorrow’s innovation – With Sinequa, you can transform your organization into a knowledge-driven powerhouse, enabling every team to turn insights into your next breakthrough. Sinequa’s cutting-edge technology harnesses the power of AI to augment knowledge-intensive work, enabling teams to spend less time searching and more time doing.
A customer-first mindset – Our product roadmap is driven by the needs of our customers, and informed by the latest advancements in AI. Powerful capabilities such as cutting-edge natural language processing and deep learning enable our customers to take advantage of our enterprise-ready Generative AI.
Sinequa’s Intelligent Search platform’s in-depth analysis provides Alstom’s employees with a thorough understanding of unstructured data, including the text coming from very complex technical and normative documents. This allows greater efficiency and real time savings for Alstom’s data scientists.
Tristan Le Masne, Vice President Internal Audit & Internal Control, Alstom
A KMS is a system that organizes and manages information in a single location.
Knowledge management systems were first developed in the 1990s. When a generation of employees began to retire out of the workforce–and bring valuable methods and insights with them, companies began to realize the need to preserve organizational knowledge. As a result, they began to develop databases that collect valuable knowledge for both employees and customers.
Fast-forward 30 years, and we’re now in the “age of data.” 2.5 quintillion bytes of data are generated every day. That includes data generated by your organization, such as customer support interactions, customer analytics, documentation on processes, and more.
Some of this information will be more relevant to employees (such as analytics or onboarding documentation); other information may be more relevant to customers (such as simple FAQs, guidelines, tutorials, or resource downloads).
Either way, a KMS can help bring together this information in a way that helps organizations to surface new insights, increase efficiency, and deliver a better customer experience.
A knowledge management strategy is a specific plan for how a company will manage information, data, and knowledge to improve productivity, foster innovation, and meet company objectives.
Building out a knowledge management strategy requires thorough scoping, the right technology, and top-down buy-in. The thirty-second summary of strategy development looks something like this:
But you can’t run blind. To leverage your company’s store of knowledge to improve the bottom line, you must first be able to access it in all the places it lives and make sense of it. This is where intelligent search comes in.
1. Enhanced decision-making: Access to well-organized knowledge equips engineers with the insights to make informed decisions, leading to more effective problem-solving and creative solutions.
2. Continuous learning: A culture of sharing knowledge nurtures continuous learning, enabling engineers to stay current with industry trends and advancements.
3. Efficient problem solving: Lessons learned from past projects, documented challenges, and successful strategies provide invaluable guidance for tackling current and future issues.
A knowledge management system isn’t inherently useful. To be truly effective for helping customers (and employees), it must communicate high-value insights in a way that’s organized and transparent.
Here are a few keys for building effective knowledge management systems:
The integration of AI into enterprise knowledge management processes offers numerous benefits that drive operational efficiency and competitive advantage: