Big data and AI have a synergistic relationship. Big data analytics leverages AI for better data analysis. In turn, AI requires a massive scale of data to learn and improve decision-making processes. Big data and artificial intelligence are also linked in terms of research and technological innovation for each field. Big data technology uses AI theories and methods and AI relies on large volumes of data and the supporting big data technologies to improve and evolve decision making capabilities.

The term big data refers to massive, complex and high velocity datasets. As stated above, big data is the fuel that powers the evolution of AI’s decision making. Big data can be explored and analyzed for information and insights. Big data analytics is the use of processes and technologies, including AI and machine learning, to combine and analyze massive datasets with the goal of identifying patterns and developing actionable insights. This helps you make faster, better, data-driven decisions that can increase efficiency, revenue and profits.

The term artificial intelligence refers to a set of technologies which enable computers to simulate human intelligence. Examples of AI include speech recognition, such directing virtual assistants like Alexa to perform tasks, image recognition for identification, and autonomous driving. AI also makes augmented analytics tools more powerful and accessible, helping you explore and analyze sprawling, unstructured data to gain greater clarity and understanding of the many factors influencing your business.

Subfields of AI include AutoML and machine learning, which refers to the use of algorithms to learn and execute tasks without human intervention, deep learning, which uses neural networks to identify complex patterns in high-volume data, cognitive computing, which is used to simulate the functioning of the human brain to solve complex problems, and natural language processing, which helps computers understand and interpret human language.

Big data and artificial intelligence have a synergistic relationship. AI requires a massive scale of data to learn and improve decision-making processes and big data analytics leverages AI for better data analysis. With this convergence, you can more easily leverage advanced analytics capabilities like augmented or predictive analytics and more efficiently surface actionable insights from your vast stores of data. With big data AI powered analytics, you can empower your users with the intuitive tools and robust technologies they need to extract high-value insights from data, fostering data literacy across your organization while reaping the benefits of becoming a truly data-driven organization

By bringing together big data and AI analytics technology, we can help your company improves business performance and efficiency

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