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Knowledge Graphs: Data in Context for Responsive Businesses

Graph technology has become ubiquitous because it connects relationships based on context. Graphs underpin everything from consumer-facing systems like navigation and social networks, to critical infrastructure like supply chains and policing. Through a combination of data, graphs and semantics (meaning), organisations get a knowledge graph with a deep and dynamic context. In fact, contextual knowledge has emerged as the single most powerful tool that businesses across all industries have for complex decision-making.

Knowledge graphs are useful because they provide a contextualised understanding of data. They achieve this by adding a layer of metadata that imposes rules for structure and interpretation. The report illustrates how using knowledge graphs can help extract greater value from existing data, drive automation and process optimisation, improve predictions, and enable an agile response to changing business environments.

There has been a recent explosion of interest in knowledge graphs, with a myriad of research papers, solutions, analyst reports, groups, and conferences. Knowledge graphs have become so popular partly because graph technology has accelerated in recent years but also because there is strong demand to make sense of data.

External factors have undoubtedly accelerated knowledge graphs to greater prominence. Stresses from the COVID-19 pandemic have strained some organisations to the point of breaking. Decision-making has needed to be rapid, but businesses have been hampered by the lack of timely and accurate insight. Businesses are reconfiguring their operations and processes to be ready to flex rapidly.

As historical knowledge ages faster and is invalidated by market dynamics, many organisations need new ways of capturing, analysing and learning from data. Organisations need to fuel rapid insights and recommendations across the business, from customer experience and patient outcomes to product innovation, fraud detection, and automation.

Moreover, the last few years have demonstrated impressive improvements in Artificial Intelligence (AI) predictive capabilities but with narrow application and some‐ times disturbing results. For AI to reach its full potential, it must incorporate wider contextual information from knowledge graphs. context as the network surrounding a data point of interest that is relevant to a specific AI system. Using knowledge graphs with AI systems is the most effective way to achieve contextual AI, which incorporates neighbouring information, is adaptive to different situations, and is explainable to its users.

Predictions made by AI must be interpretable by experts and ultimately explainable to the public if AI systems are to expand their utility into more sectors. In the absence of understanding how decisions were reached, citizens may reject recommendations or outcomes that are counterintuitive. Explainability is not a nice-to-have—it is a required component of AI, and being context-driven improves explainability.

A knowledge graph is the best way to maintain the context for explainability. It offers a human-friendly way to evaluate connected data, enabling human overseers to better map and visualise AI decision paths. By better understanding the lineage of data (context of where it came from, cleansing methods used, and so forth), data scientists can better evaluate and explain its influence on predictions made by the AI model.

As reported by OpenGov Asia, as organisations across the public and private sectors become increasingly reliant on AI tools and platforms for decision-making, knowledge graphs take on more significance. They offer a comprehensive way to represent data relationships and derive meaning. Knowledge graphs embed intelligence into the data itself and offer AI the tools to make sense of it all – to be more explainable, accurate and repeatable.

PARTNER

Qlik’s vision is a data-literate world, where everyone can use data and analytics to improve decision-making and solve their most challenging problems. A private company, Qlik offers real-time data integration and analytics solutions, powered by Qlik Cloud, to close the gaps between data, insights and action. By transforming data into Active Intelligence, businesses can drive better decisions, improve revenue and profitability, and optimize customer relationships. Qlik serves more than 38,000 active customers in over 100 countries.

PARTNER

As a Titanium Black Partner of Dell Technologies, CTC Global Singapore boasts unparalleled access to resources.

Established in 1972, we bring 52 years of experience to the table, solidifying our position as a leading IT solutions provider in Singapore. With over 300 qualified IT professionals, we are dedicated to delivering integrated solutions that empower your organization in key areas such as Automation & AI, Cyber Security, App Modernization & Data Analytics, Enterprise Cloud Infrastructure, Workplace Modernization and Professional Services.

Renowned for our consulting expertise and delivering expert IT solutions, CTC Global Singapore has become the preferred IT outsourcing partner for businesses across Singapore.

PARTNER

Planview has one mission: to build the future of connected work. Our solutions enable organizations to connect the business from ideas to impact, empowering companies to accelerate the achievement of what matters most. Planview’s full spectrum of Portfolio Management and Work Management solutions creates an organizational focus on the strategic outcomes that matter and empowers teams to deliver their best work, no matter how they work. The comprehensive Planview platform and enterprise success model enables customers to deliver innovative, competitive products, services, and customer experiences. Headquartered in Austin, Texas, with locations around the world, Planview has more than 1,300 employees supporting 4,500 customers and 2.6 million users worldwide. For more information, visit www.planview.com.

SUPPORTING ORGANISATION

SIRIM is a premier industrial research and technology organisation in Malaysia, wholly-owned by the Minister​ of Finance Incorporated. With over forty years of experience and expertise, SIRIM is mandated as the machinery for research and technology development, and the national champion of quality. SIRIM has always played a major role in the development of the country’s private sector. By tapping into our expertise and knowledge base, we focus on developing new technologies and improvements in the manufacturing, technology and services sectors. We nurture Small Medium Enterprises (SME) growth with solutions for technology penetration and upgrading, making it an ideal technology partner for SMEs.

PARTNER

HashiCorp provides infrastructure automation software for multi-cloud environments, enabling enterprises to unlock a common cloud operating model to provision, secure, connect, and run any application on any infrastructure. HashiCorp tools allow organizations to deliver applications faster by helping enterprises transition from manual processes and ITIL practices to self-service automation and DevOps practices. 

PARTNER

IBM is a leading global hybrid cloud and AI, and consulting services provider, helping clients in more than 175 countries capitalize on insights from their data, streamline business processes, reduce costs and gain the competitive edge in their industries. Nearly 3,800 government and corporate entities in critical infrastructure areas such as financial services, telecommunications and healthcare rely on IBM’s hybrid cloud platform and Red Hat OpenShift to affect their digital transformations quickly, efficiently, and securely. IBM’s breakthrough innovations in AI, quantum computing, industry-specific cloud solutions and business services deliver open and flexible options to our clients. All of this is backed by IBM’s legendary commitment to trust, transparency, responsibility, inclusivity, and service. For more information, visit www.ibm.com