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How Artificial Intelligence Makes a Difference to Enterprise IT? – Analytics Insight

An umbrella term for technology staff, services, supporting the business aspects of management, budgets, and policy, Enterprise IT is the core of an organization. Managing these critical services goes beyond just caring about technology.
Enterprises survive on thousands of interlinked computers, both on the programming and the development side to ensure that software runs are smooth on exponentially complex environments. Disruptive technologies have gone a step ahead to make this integration easier, Artificial Intelligence optimizes the valuable time and changes the EIT experience for the better.
Here is how AI and technology trends are driving the EIT business environments-

Big Data
Modern EITs generate massive real-time data and thus cannot afford to get trapped into the standard reporting framework adopted by legacy IT-savvy systems. They need just-in-time, fast, and accurate information which aids in real-time decision making. Big Data has opened flood gates of possibilities that are economical, fast suited to more grassroots type of data solutions. The emergence of Big Data promises steadfast delivery of business objectives to the EIT teams.

Predictive Analytics
Data collection and predictive maintenance is now a critical part of smooth enterprise IT management. Predictive analytics helps EIT functions to support the data analysis needs of the enterprise by facilitating advanced analytics to support the growth and nurturing of commercial services. It assists in harnessing data to enhance customer relationship management (CRM) and improves predicting or anticipating plant monitoring, planning plant equipment upgrades, and diagnosing customer equipment issues.

Data Warehousing with AI
As data becomes indispensable, EIT looks ways to automate and accelerate modern data warehousing using machine learning (ML) algorithms on a modern data warehouse that can operate on any cloud. This change will bring new opportunities to support the enterprise, but in doing so, requires EIT to learn new skills, like training models to learn a process and frequent iterations that gradually improve their accuracy. Deep learning harnesses neural networks for machine learning, creating the ability to simulate intelligence, to offer better warehousing recommendations.

EIT Cloud Hosting
To ensure business continuity critical functions have moved to the cloud, calling for a smooth transition of enterprise IT from on-premise to cloud with an added focus on vendor relations, data integration issues, contract management, and collaborations with functional and business units. Cloud computing delivers Web services and provides quintessential access to components that can be easily combined to rapidly create a dependable EIT platform to meet the ever-changing needs of business operations.
Enterprise Cloud Computing offers many benefits to the basic framework of successful EIT structure including-
•  Efficient utilization of IT resources.
•  Lower IT operational and infrastructure costs.
•  Superior speed and performance.
•  Increased capacity to handle demand peaks.
•  Capacity for flexible data security policies
Cloud computing within an enterprise additionally fosters a safer computing environment, promotes the use of virtual servers substantially mitigating the threat of an onsite intruder attack within a data center.
Enterprise IT has changed drastically over the last 20 years and as the enterprise structure transforms, the need to adopt disruptive technologies like AI, Could Hosting, Predictive Analytics, and Big Data capabilities will usher a new revolution in EIT framework.

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Kamalika Some

Kamalika Some is an NCFM level 1 certified professional with previous professional stints at Axis Bank and ICICI Bank. An MBA (Finance) and PGP Analytics by Education, Kamalika is passionate to write about Analytics driving technological change.

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