The 2020s are a great time to be a data scientist. As the global data market swells each year with increased adoption of artificial intelligence, machine learning and other deep tech modalities that require sophisticated data science expertise, demand for highly trained data specialists increases. Singapore has emerged in recent decades as a global leader in technology and innovation, with machine learning and artificial intelligence applications helping to lead the way. Read on to learn more about top players in Singapore’s data science sector.
Data Science Companies in Singapore
- Integral Ad Science
- InterSystems
- Dynatrace
- Atos
- Thinking Machines Data Science
Top Data Science Companies in Singapore
Motorola Solutions offers connectivity, software and hardware solutions. Much of its work is devoted to supporting public safety operations through products like two-way radio systems for first responders and video security systems. The company has a platform that unifies operational data from systems such as networked video feeds to enable collaboration.
Bitsight is a data science and cybersecurity company that creates metrics solutions to help clients assess their cyber risk profiles. Using data pulled from digital interactions and IT processes, the company generates detailed analyses of a given organization’s security protocols and identifies areas that can be optimized. Bitsight takes into consideration the relative context of security frameworks within customers’ markets.
The martech company Integral Ad Science uses data science to power optimization tools for advertising campaigns. Using data-driven algorithms to support ad placement, the company works with media buyers and sellers as well as ad agencies. Its technology relies on techniques such as contextual targeting and predictive analytics to enhance brand affinity and memorability.
Atos provides businesses with IT and software services and consulting expertise. It focuses on areas like cybersecurity, using predictive analytics and other strategies to learn about a company’s assets and vulnerabilities. This information is then synthesized into reports and recommendations that quantify the various risks and benefits of operational choices.
Unscrambl is a business intelligence company that engineers AI-powered analytics solutions. Using a modality known as augmented intelligence that coheres AI and human thinking to support a common goal, the company creates frameworks for AI that allow teams to maximize returns on their data assets. Its AI tool known as Qbo functions as a data analyst for enterprise teams. It works by pulling data from natural conversations on platforms like Slack, Teams and Zoom to generate operational insights.
Thinking Machines Data Science offers consulting services with a focus on cloud data and enterprise AI. Both modalities require leading-edge strategies to manage and meaningfully leverage vast streams of data. The company works with client organizations to strategize AI implementations and data platform solutions that can streamline business processes and decisions.
PureSpectrum is a market research company that uses data and AI to deliver insights. It operates a platform that comes with tools such as surveys to generate data, and the technology lets clients process and analyze information from their internal systems and processes. The platform is calibrated to ensure data quality using the proprietary PureScore scoring system.
Dynatrace runs a software intelligence platform that customer organizations use to effectively manage their digital assets and IT systems. Using AI to facilitate large-scale and high-speed data analysis, the company’s platform coheres diverse and complex data streams to offer useable insights about software implementation and efficiency.
Speridian Technologies offers consulting services in digital transformation and IT strategy. One of its goals is to synthesize organizational data into precise insights that can be applied to inform and optimize operational decisions. To this end, it uses tactics such as predictive and prescriptive analytics, which respectively model outcomes and proactively adjust paradigms.
InterSystems makes software tools for database management. Its signature product, InterSystems IRIS, facilitates engineering of machine learning algorithms and AI-powered applications. The platform is designed to allows users to integrate their preferred data tools within the IRIS workflow to support use cases like delivering real-time analytics.
