How Data Mature is Your Organization?
Rather than training a machine learning model from scratch, data scientists today increasingly use pre-trained models. These models are usually trained using an inordinate amount of resources only available to large technology companies like Google and Microsoft, making them more powerful
than anything we could come up with ourselves. This significantly help businesses that constantly asks the question: how do I improve business operations and deliverables using technology? Whether machine learning, robotics, artificial intelligence, or any other buzzing technology, almost every line of thought in digitopia leads to data. If data was an enabler before, today, data and analytics are increasingly becoming the cornerstone of business decision-making worldwide.
From healthcare to marketing and customer experience across almost all industries, data is making a tangible difference. Investing in data has long become a matter for organizations. However, one of the vital aspects of data transformation is to believe in data and act upon the idea that data & analytics can make a massive difference in decision-making. It is often called the data analytics maturity of an organization. The organizations on the higher side of this maturity index act on the actionable information across the functional departments, organizational policies, and customer engagements. When it comes to data, trust is paramount. Borrowing the words of W. Edwards Deming, “In God we trust. All others must bring data.” In this yearly special issue, we delve deeper into the world of machine learning. Do let us know your thoughts.