{"id":15893,"date":"2023-11-10T10:13:56","date_gmt":"2023-11-10T10:13:56","guid":{"rendered":"https:\/\/www.stratio.com\/blog\/?p=15893"},"modified":"2023-11-20T18:37:50","modified_gmt":"2023-11-20T18:37:50","slug":"how-using-generative-ai-with-stratio-data-fabric-can-help-companies-cut-operating-costs","status":"publish","type":"post","link":"https:\/\/www.stratio.com\/blog\/how-using-generative-ai-with-stratio-data-fabric-can-help-companies-cut-operating-costs\/","title":{"rendered":"How using Generative AI with\u00a0 Stratio Data Fabric can help companies cut operating costs"},"content":{"rendered":"\n

Introduction<\/h2>\n\n\n\n

Companies must switch to automation to reduce operating costs. This is imperative for their survival and thriving in an increasingly competitive market.<\/p>\n\n\n\n

Unfortunately, there are a number of logistical hurdles which have made realizing this goal difficult for enterprises. According to new research by the accountancy and business firm BDO<\/mark><\/a>, supply chain issues, rising energy costs, and record levels of inflation are now affecting 58% of all enterprises. <\/p>\n\n\n\n

Meanwhile, a survey by Nucleus<\/mark><\/a> reports that 72% of business owners are concerned that the current cost of living crisis is going to affect their company in some way. 23% of leaders even predict that their business may not survive the financial year without drastic changes.<\/p>\n\n\n\n

As a result, business leaders have been forced to take measures. Some are maintaining or increasing their workload with a reduced workforce. Others are expanding their offerings, or providing cheaper products and services to capture new customers. <\/p>\n\n\n\n

Looking for new ways to do more with less is a laudable business goal, if it\u2019s pursued the right way. But going about it the wrong way, with a focus on austerity measures can prove detrimental in the long run. Tightening belts and budgets can restrict business growth and development, impacting long-term revenue and enterprise goals.  <\/p>\n\n\n\n

The best approach is for a company to instead invest in innovations and technologies. By doing so, companies can automate a share of their workload, and eliminate operational inefficiencies, all of which can help them to drive down on costs. <\/p>\n\n\n\n

One solution that can help businesses achieve both of these objectives is Generative AI. However, we know that enterprises can\u2019t securely implement generative AI without a data fabric architecture<\/mark><\/a>. We\u2019ll need to explore both these technologies to understand how they work. <\/p>\n\n\n\n

What is a Generative AI Data Fabric?<\/strong><\/h2>\n\n\n\n

Generative AI Data Fabric is a product from Stratio BD which enables enterprises to benefit from generative AI in a secure, accurate and automatic way. Offering all the advantages of generative AI currently enjoyed by individuals, this technology can also benefit the enterprises, provided that it is used on the company-wide level (not limited to a specific application). <\/p>\n\n\n\n

When Generative AI is powered by (or is underpinned by) Stratio Data Fabric \u2014 which discovers all the data enterprises have \u2014 it gives business\u2019s meaning and required quality, and enables users to ask any business question and get an instant answer. Moreover, it also allows the technical teams to be more productive: checking or writing code, running QA, generating reports, and security alerts. <\/p>\n\n\n\n

A data fabric is data architecture powered by AI and machine learning. It offers consistent data capabilities across various environments, including on-prem, cloud and multi-cloud. Data fabric automatically creates virtualized copies of business data from legacy systems, data lakes, data warehouses, SQL databases, and applications, providing a comprehensive view of crucial information while eliminating duplicate or redundant data, and leaving original data sources intact.<\/p>\n\n\n\n

The data fabric also provides further analysis in the form of business ontologies and knowledge graphs. This allows companies to give business meaning to technical data and define business concepts in the semantic layer. Thus, enterprises can deploy Generative AI to summarize documents, build tables, create new, meaningful text, and generate code or ideas.<\/p>\n\n\n\n

Furthermore, the Generative AI itself is highly proficient in supervised and unsupervised learning, using unlabelled data to better synthesize new information.<\/p>\n\n\n\n

So, now that we\u2019ve established what Generative AI Data Fabric is and how it functions, let\u2019s instead turn to the most important question for business leaders. How can it help drive down business costs? <\/p>\n\n\n\n

Cut costs with Generative AI Data Fabric<\/strong><\/h2>\n\n\n\n

Data consolidation<\/strong><\/h3>\n\n\n\n

Most companies nowadays are sitting on a treasure trove of data, but that it is blocked off in a number of places in siloes. This means that it is impossible for companies to connect the dots and access the insights they need to make the right decisions on where to spend and where to save.<\/p>\n\n\n\n

By using data fabric as their data management approach companies can get faster, better-quality insights from the wealth of siloed data they already have stored up. After that they can take it a step further and use generative AI to boost this productivity and user convenience further. <\/p>\n\n\n\n

After compiling and analyzing data from many different sources, Generative AI can be used to:<\/p>\n\n\n\n