Data is a form of information that has been translated into digital binary format for efficient movement or processing or stored for reference. Over past few years, IT industry has observed immense growth of Data. Research reveals, over 90% of world’s data has been created in past 4-5 years only. Enterprises are facing immense challenges keeping up with the pace of their company’s data growth. Hence, companies are highly focusing on platforms that can support rapid expansion of Storage and Computing, and that’s where Cloud solutions are rolling in. New data platform strategies are getting adopted to Improve performance and agility, scalability and elasticity, cost savings.
When we deep dived in these facts, the most common reason we found that, Enterprises are modernizing their Data Platforms but not the Data itself. Modern Data platforms brings plethora of new capabilities for business, but legacy data models and processes need to bere-designed and re-architected as well to leverage them. In the following segment we are going to discuss more about the Data Modernization strategy and benefits.
AI/ML Adoption for Data Modernization:
As Data grows, an organization seeks for the enterprise solution which fits the requirement and aligns with the modern data world. In the competitive world each one of them must accept and adapt new solutions which meets the business/ user/consumer’s needs.
To develop a solution which meets all the needs, enterprise must look for a solution which is smart and efficient. So, if we look around us, we are surrounded with Artificial intelligence and machine learning solution and application which is helping Business and Customer making a fruitful decision.
Ex: Recommendations system, Cost Predictions, Efficient Budgeting system, Business Assistance and many more.
In process of Modernizing the Data Solutions, an enterprise enhances their infrastructure capabilities as in part of AI initiatives to gain competitive advantages but investing in AI/ML Data solutions can be very expensive for companies in terms of money and time. That’s why it is the expectation of seeing some significant ROI from it within the limited time window.
But for that to happen, it’s crucial to choose the right business use case to optimize with AI/ML, or it can impact the budget if it doesn’t return expected ROI for the business.
How can technology providers help businesses solve data management challenges?
· The Strategic plans: Use Cases and Ownership
· Finding Business Needs
· Upgrading optimal infrastructure
· Planning for Best Data Solution with AI/ML
· The Resource Skills
With thousands of associates and experts are able to mobilize quickly to realize our clients’ data modernization vision. Our innovative cloud strategy includes providers such as Amazon Web Services, Google Cloud and Microsoft Azure.
Typical results include:
· A deployed platform within one month
· 40% decrease in data storage costs
· 30-60% faster time to market
· ROI in six months
· 4x faster transition
There are numerous tools and technologies available but for developing a solution which returns desire ROI is a most important. So, solution architect and data engineers play a crucial role here. An experience and skilful team can design a system which can return maximum ROI with Minimal investments.
