Businesses face significant challenges to continuously manage and optimise their databases, extract valuable information from them, and then to share and report the insights gained from ongoing analysis of the data. As data continues to grow exponentially, they must address key issues to unlock the full potential of their data asset across the whole business. […]
Read More… from Overcoming Data Administration Challenges, and Strategies for Effective Data Management
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How Ardent can help you prepare your data for AI success Data is at the core of any business striving to adopt AI. It has become the lifeblood of enterprises, powering insights and innovations that drive better decision making and competitive advantages. As the amount of data generated proliferates across many sectors, the allure of […]
Read More… from Are you considering AI adoption? We summarise our learnings, do’s and don’ts from our engagements with leading clients.
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Overcoming Market Research Challenges For Market Research agencies, Organisations and Brands exploring insights across markets and customers, the traditional research model of bidding for a blend of large-scale qualitative and quantitative data collection processes is losing appeal to a more value-driven, granular, real-time targeted approach to understanding consumer behaviour, more regular insights engagement and more […]
Read More… from Why the Market Research sector is taking note of Databricks Data Lakehouse.
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The different roles of a Data Scientist and Data Engineer Of all data users, Data Scientists are considerable consumers and play a crucial role in extracting valuable insights from complex datasets. They possess advanced analytical skills and are adept at developing sophisticated models and AI/ML algorithms. So why do they rely on Ardent to manage […]
Read More… from Why do Data Scientists rely on Ardent’s Data Engineering expertise for Data Preparation?
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Data observability is the term given to a system of practices and processes, designed to fully understand the health and functionality of a company’s data as it is created, collected, processed, and generally flows through the business. […]
Read More… from 4 Pillars of data observability, and why are they important?
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The ability to look back at what has been done, analyse the results, and improve going forward is a staple function for any business, but when it comes to the healthcare industry – it can literally save lives. […]
Read More… from Healthcare data analytics: 6 things you need to know, and how it can change lives
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