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Convergence of Big Data, IoT and AI to Drive Next Generation Applications

By   /  September 6, 2017  /  No Comments

by Angela Guess

A new press release reports, “Big Data Analytics is bringing a step change in innovation across all sectors of the economy for efficient data management. Disruptive technology innovations in the information and communication technology (ICT) space, such as artificial intelligence (AI), Internet of Things (IoT), self-service visualization and structured query language(SQL), have deeply permeated various applications and markets. At present, the Big Data market is experiencing a number of technology convergences with advancement in some supporting technologies to address current challenges.”

The release goes on, “Frost & Sullivan’s market research, ‘Technology Advancements Shaping Big Data Progress,’ identifies the key technology development areas within ICT that have the potential to not only address the challenges of the Big Data space, but also facilitate development of next-generation applications through convergence. The technologies covered include AI, IoT, self-service visualization, SQL, in-memory computing, virtual reality, software-based virtual machines, sensor data, identity-as-a-service, and in-memory computing.”

Frost & Sullivan TechVision Research Analyst Swapnadeep Nayak noted, “In the age of digital and connected world, companies have access to more consumer data than ever before. Conventional big data solutions are limited to the usage knowledge of an individual, thereby analyzing the past data and providing insights on the behavior. Lack of skilled resources further restricts the quality of the insights… Advancements in artificial intelligence in recent years are enabling developers to uncover the hidden relationship between data, thereby significantly facilitating data analytics processes using minimal data input and resolving big data performance issues.”

Read more at PR Newswire.

Photo credit: Frost & Sullivan

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