Connectivity constraint computing allows representing and reasoning over entities and their relations in knowledge graphs to make adaptive learning technologies more effective. It helps model learning experiences and outcomes for personalized education based on student attributes and interactions. The technology aids in discovering dependencies, relationships and patterns from interconnected...
What are the primary hurdles faced by IT professionals in acquiring the requisite skills and expertise for successful digital transformation initiatives?
The technology landscape is constantly evolving with new advancements, making it challenging to stay updated. While traditional concepts like data warehousing and data lakes have seen improvements, emerging technologies like AI...
IoT Platforms - The Nerve CenterIoT platforms form the core of any IoT infrastructure acting as the nerve center. They enable remote device management, data collection, processing, visualization and application enablement.Major IoT platforms provide features like:- Device registration and provisioning- Firmware/software updates over-the-air- Data ingestion from multiple protocols- Rules engine...
Connectivity constraint computing refers to using graph database technology to represent and compute over highly connected data. Connectivity constraint computing enables organizations to gain critical insights from diverse and complex data relationships. It helps businesses better understand how systems interconnect and influence each other. Industries like healthcare, manufacturing, banking,...
Connectivity constraint computing (CCC) allows organizations to bring together siloed and dispersed data sources to gain deeper insights and make timely decisions. CCC applications help connect distributed data while ensuring referential integrity, enabling organizations to get a holistic view of their customers, assets, and business processes. CCC platforms provide a customizable visual...
Connectivity constraint computing is a modelling framework that allows to represent and solve combinatorial problems that involve complex constraints. It plays a vital role in various domains including artificial intelligence, machine learning, operations research, resource allocation, optimization and network management. The technology helps in efficiently modelling discrete problems with...
The global data discovery market size is expected to reach USD 30.35 Billion in 2030 and register a steady revenue CAGR of 15.6% over the forecast period, according to latest analysis by Emergen Research. Steady data discovery market revenue growth can be attributed to need to discover sensitive structured and unstructured data. Knowing customers data has much commercial importance as consumers...
What is Data Governance?Data governance refers to the overall management of the availability, usability, integrity and security of the data employed in an enterprise. A data governance strategy establishes who within an organization is responsible for these factors to effectively oversee data management across its lifecycle and supporting systems and infrastructure. Without a clear data...
Data lake is an enterprise-wide data store that holds massive amounts of structured, semi-structured and unstructured data in its native format until it is needed. Organizations leverage data lakes to harness insights from big data collected from various sources within the organization. Data lakes allow organizations to analyze both historical and real-time data to gain valuable insights and...
Data Lake Market Scope and Overview
The Data Lake Market is anticipated to grow as organizations harness the power of big data analytics to derive actionable insights from vast and diverse data sources. Offering scalable and cost-effective storage for structured and unstructured data, data lakes enable organizations to perform advanced analytics, machine learning, and AI-driven decision-making....