Enterprise Success Through Security and Governance Innovation
Generative AI (GenAI) has the potential to transform enterprise operations by driving automation, boosting efficiency, and fostering innovation. However, its implementation is not without challenges, particularly around data privacy and security. According to Gartner’s Generative AI 2024 Planning Survey, 39% of data and analytics leaders identify data protection and privacy as major concerns. What fuels…
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AITech Interview with Frederik Steensgaard, CEO at BeCause
Welcome Frederik, could you tell us more about your role at BeCause and how your journey has shaped the company’s mission? As the CEO of BeCause, I focus on how our AI-powered technology platform fits into the larger narrative of advancing hotel sustainability across the broader travel and tourism sectors. Part of my role is…
Fuse the Power of AI and Data Management to Unlock Business Value
Today, enterprises find themselves on the cusp of a transformative era, poised to unlock unprecedented business value by harnessing the full potential of AI. According to McKinsey, 44% of companies implementing AI report reduced operational costs, with many also experiencing revenue growth. However, successful AI adoption and modernization involve more than just deploying the latest…
Optimizing Data Operations with Data Fabric Architecture
Data has always been the backbone of business operations, highlighting the significance of data and analytics as essential business functions. However, a lack of strategic decision-making often hampers these functions. This challenge has paved the way for new technologies like data fabric and data mesh, which enhance data reuse, streamline integration services, and optimize data…
The Five Best Data Lineage Tools in 2024
Data lineage tools are sophisticated software designed for complete data management within the organizational context. These tools’ primary role is to systematically record and illustrate the course of data elements from their source through various stages of processing and modification, ultimately reaching the pinnacle in their consumption or storage. They can help your organization to…
Focus on Data Quality and Data Lineage for improved trust and reliability
As organizations continue doubling their reliance on data, the question of having credible data becomes more and more important. However, with the increase in volume and variety of the data, high quality and keeping track of where the data is coming from and how it is being transformed become essential for building credibility with the…
Lakehouse Architecture: A Journey of Innovation
It must be noted that the existence of lakehouse architectures has brought some substantial changes in the data architecture landscape. In this evolution process, organizations are still struggling on how to handle complex and diverse data management, to which the answer is the lakehouse model. Lakehouses can be viewed as a better integration of data…
New Strategic Alliance: Azra AI Partners with Registry Partners
Azra AI, a healthtech leader harnessing artificial intelligence (AI) and workflow automation to accelerate the identification and treatment of cancer, today announced a strategic partnership with Registry Partners, a premier provider of healthcare data collection and registry management services. This collaboration aims to transform oncology data management and optimize Cancer Registry operations by integrating cutting-edge…
Optimizing Data Access and Management with Unified Data Fabric
In the context of the increasing prominence of decisions based on big data, companies are perpetually looking for the best approaches to effectively utilize their data resources truly. Introduce the idea of Unified Data Fabric (UDF), a new and exciting proposition that provides a unified view of data and the surrounding ecosystem. In this blog,…
Data Governance and Lineage: Optimizing for Quality and Compliance
Data veracity and quality are equally essential in the current world that is characterized by unbounded data generation and utilization. Analyzing the information being used in the operations of companies today, it is apparent that businesses have developed a high dependence on data, hence the need to make it accurate and reliable. Two ideas central…
Leslie Kanthan, CEO and Founder at TurinTech AI – AI-Tech Interview
Leslie, can you please introduce yourself and share your experience as a CEO and Founder at TurinTech? As you say, I’m the CEO and co-founder at TurinTech AI. Before TurinTech came into being, I worked for a range of financial institutions, including Credit Suisse and Bank of America. I met the other co-founders of TurinTech…
Building an Effective Data Mesh Team for Your Organization
In the evolving landscape of data management, age-old approaches are gradually being outpaced to match the demands of modern organizations. Enter as a savior: Data Mesh, a revolutionary concept that modern organizations harness to reshape their business models and implement “data-driven decisions.” Therefore, understanding and implementing Data Mesh principles is essential for IT professionals steering…
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