Data and AI – Skills needed by Big Data Architect

Data and AI – Skills needed by Big Data Architect

The symbiotic relationship between Big Data and AI is a powerful loop, generating next-generation innovation. While Big Data makes use of AI for effective data analysis, AI relies on Big Data to learn, understand, improve and create a more accurate decision-making environment as well as a reliable predictive analysis.

What is AI?

Artificial intelligence is an innovation or technology that allows computers to mimic human intelligence. Speech recognition, virtual assistants like Alexa and image recognition for identification are some examples of AI. Additionally, AI increases the capability and accessibility of augmented analytics tools, enabling you to examine and analyze vast, unstructured data to better understand the various elements affecting your company.

What is Big Data?

Datasets that are extraordinarily huge, complex, and dynamic are referred to as “big data.” Big data is what fuels the development of AI’s decision-making capabilities, and it can be examined for information and insights. The goal of big data analytics is to combine and analyze huge amounts of data to identify patterns and produce insights that can be put to use.

AI-powered Big Data Analytics

The processes involved in the collection, archiving, and retrieval of various types of data from multiple sources are referred to as the “big data cycle,” and AI may help users at every stage of this process. These phases may include data management as well as risk management, pattern management, decision management and context management, etc.

Artificial Intelligence can recognize information through natural language processing, identify different sorts of data, and discover potential relationships between datasets. AI has the ability to understand human error patterns by simply scanning data for potential errors and flaws.

Big Data Architect with AI skills

Enterprises that use Big Data, AI, and machine learning to handle complex business challenges must increase their confidence in their data since data science and extracting value from data is a new-world requirement. As a big data architect, an individual is faced with the challenge of designing the most cost-effective as well as impactful big data solutions, in real time with the latest technologies. Tools like AI and machine learning makes it possible for a data architect to make faster, more informed decisions based on data, which can increase productivity, earnings, and profitability.

Big Data Architect is a specialized role and the expert should not only be aware of evolution and innovation in data science and advanced analysis, but a thorough understanding of skillsets like Artificial intelligence, machine learning, etc is a must. Considering that Big Data and AI go hand in hand, a data architect or data engineer cannot overlook the vastness of artificial intelligence.

Big Data Architect with AI skills means customer-focused and sales-oriented growth

Any Big Data architect with efficient AI expertise has the power to help an enterprise in performance-based productivity enhancement by:

  • Recognizing emerging trends
  • Tailoring and adapting digital marketing campaigns
  • Designing solutions powered by data based predictive analytics & AI