Translating AI from Concept to Reality: Five Keys to Implementing AI for Knowledge, Content, and Data
Lulit Tesfaye, a Partner and Director for Enterprise Knowledge’s Data and Information Management Division, presented on April 07, 2022 at the data.world Spring Virtual Summit 2022 on the topic of Translating AI from Concept to Reality: Five Keys to Implementing … Continue reading
Data Management Trends in 2022: Data Fabric v. Data Mesh v. DataOps? What is Right for Your Organization?
When we start most of our engagements with our clients, there are common and important challenges we’re typically presented with that help summarize the core needs that persist within the data management space today: We don’t know what data we … Continue reading
AI Beyond a Prototype
How to take an AI Project Beyond a Prototype Before going “all in,” we often advise our clients to first understand and quickly validate the value proposition for adopting advanced Artificial Intelligence (AI) and Machine learning (ML) solutions within their … Continue reading
How Do I Update and Scale My Knowledge Graph?
Enterprise Knowledge Graph Governance Best Practices Successfully building, implementing, and scaling an enterprise knowledge graph is a serious undertaking. Those who have been successful at it would emphasize that it takes a clear definition of need (use cases), an appetite … Continue reading
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. … 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