Enterprise AI Readiness Assessment
Understand your organization’s priority areas before committing resources to mature your information and data management solutions. Enterprise Knowledge’s AI Readiness Assessment considers your organization’s business and technical ecosystem, and identifies specific priority and gap areas to help you make
targeted investments and gain tangible value from your data and information. Continue reading
Enterprise AI Trends in 2020
Enterprise Artificial Intelligence (AI) entails leveraging machine capabilities to discover and deliver organizational knowledge and information in a way that closely aligns with how users look for and process information. The number of Enterprise AI applications is rapidly growing. Previously, … Continue reading
What is a Semantic Architecture and How do I Build One?
Can you access the bulk of your organization’s data through simple search or navigation using common business terms? If so, your organization may be one of the few that is reaping the benefits of a semantic data layer. A semantic … Continue reading
What is the Roadmap to Enterprise AI?
Artificial Intelligence technologies allow organizations to streamline processes, optimize logistics, drive engagement, and enhance predictability as the organizations themselves become more agile, experimental, and adaptable. To demystify the process of incorporating AI capabilities into your own enterprise, we broke it … Continue reading
What is Artificial Intelligence (AI) for the Enterprise?
Artificial intelligence (AI) is set to be the key source of transformation, disruption, and competitive advantage in today’s fast-changing economy. Gartner estimates that AI will create $2.9 trillion in business value and 6.2 billion hours of worker productivity in 2021. As a result, numerous early adopters are buying into AI within organizations across diverse industries … Continue reading
How to Build a Knowledge Graph in Four Steps: The Roadmap From Metadata to AI
The scale and speed at which data and information are being generated today makes it challenging for organizations to effectively capture valuable insights from massive amounts of information and diverse sources. We rely on Google, Amazon, Alexa, and other chatbots … Continue reading
Using Knowledge Graph Data Models to Solve Real Business Problems
A successful business today must possess the capacity to quickly glean valuable insights from massive amounts of data and information coming from diverse sources. The scale and speed at which companies are generating data and information, however, often makes this … Continue reading
The Cost of Doing Nothing with Knowledge Management
Presented at KM Showcase 2019 by EK’s Lulit Tesfaye, this presentation covers the business case for knowledge and information management. Further, it offers business cases and discussions of hard Return on Investment (ROI) for KM efforts.
The Cost of Doing Nothing: The Business Case for Knowledge and Information Management
For many organizations, investment decisions on Knowledge, Data, and Information Management initiatives are driven by high-level business objectives such as increased efficiency, productivity, competitive advantage, and enhanced employee or customer engagement. While aligning Knowledge and Information Management initiatives with business … Continue reading
How to Practice Agile in Traditional Management Roles
Organizations in the 21st century face great opportunities and threats presented by fast paced technological advances. According to Forbes Magazine, the most defining traits of a successful 21st century organization are: Relentless innovation, which requires a new mindset that liberates … Continue reading