Innovations in Big Data Analytics

Research and Markets announced the addition of the Innovations in Big Data Analytics (Technical Insights) report ($6,500) to their offering.

The exponential growth of digital data has been well accommodated by the big data technology. However, gaining useful insights from the huge amount of data is immensely essential.

Big data analytics delivers the capability to scale down the data and extract information for decision making. Big data analytics serves as the means to leverage big data for effective analytics. This research service focuses on various innovations in the big data analytics space along with the opportunities for convergence with various other futuristic technologies.

Key Findings of Report

• Leveraging the capabilities of fast data aggregation and massive data management, big data will play a vital role in shaping up of a sustainable future. Advancement towards sustainable future will also be facilitated by convergence with other ICT technologies such as Internet of Things and cloud computing.
• Data management, factory and machine monitoring, deforestation monitoring, energy grid management, water management, and green telematics are some of the sustainable opportunities that big data analytics can create.
• Big data projects will be spurred by convergence of various technologies within and outside information and communication technology domain in order to deliver advanced applications for various markets.
• Technology clusters such as health and wellness, information and communication technology, sustainable energy, microelectronics, and medical device technology are already experiencing major initiatives from stakeholders in the space.
• Other clusters such as advanced manufacturing and automation and sensors and control technologies are also expected to gain interest in a very short time span of to years.
• Next-gen sequencing, biomarkers, personalized medicine, remote patient monitoring, targeted drug delivery, cloud computing, virtualization, augmented reality, semantic search, in-memory computing, next-gen volatile memory, data visualization, grid energy management, advanced energy storage are some of the technologies that are gaining prominence and penetration with the convergence of big data analytics.
• Apart from the convergence across the various technology clusters, future big data analytics applications are expected to converge with advanced technologies, such as artificial intelligence, natural language processing and biometric systems, to empower applications with machine learning ability for advanced intelligence.
• This movement towards advanced intelligence system will act as the stepping stone for several future technologies such cognitive computing and cloud robotics.