“Can I trust this data?” In the dawning age of artificial intelligence (AI), this question becomes increasingly critical for individuals and organizations. Data reliability is the cornerstone of an organization’s data-driven decision-making. A recent survey from Precisely identified data-driven decision-making as the primary goal of 77% of data initiatives, yet only 46% of organizations have high or very […]
Why the Slowdown of Kryder’s Law Spells Urgency for Sustainable Archival Storage
Kryder’s Law, named after Mark Kryder – the former SVP of research at Seagate Technology – is an observation comparable to Moore’s Law but specifically related to the area of magnetic disk storage. It posits that the density of information stored on magnetic disks is increasing exponentially, doubling approximately every 18 months. Kryder’s Law, much like Moore’s […]
Denodo Partners with Google Cloud for New Data Virtualization and GenAI Integration
Denodo, a prominent figure in data management, has revealed a collaborative effort with Google Cloud to integrate the Denodo Platform with Google Cloud’s Vertex AI, marking a significant stride in the realm of enterprise innovation. This partnership capitalizes on data virtualization, merging advanced logical data management capabilities with state-of-the-art generative AI services offered by Google […]
Accenture Federal Services and Google Public Sector Launch Data & AI Center of Excellence
According to a new press release, Accenture Federal Services and Google Public Sector have launched a Data & AI Center of Excellence, dedicated to aiding federal agencies in enhancing citizen services through tailor-made solutions, leveraging Google Cloud’s generative AI technologies. With a focus on supporting sensitive and classified workloads while adhering to regulatory compliance standards, […]
Why It’s Time to Rethink Generative AI in the Enterprise
If you’ve been keeping an eye on the evolution of generative AI (GenAI) technology recently, you’re likely familiar with its core concepts: how GenAI models function, the art of crafting prompts, and the types of data GenAI models rely on. While these fundamental components within GenAI remain constant, the way they’re applied is transforming. The […]
Fundamentals of Data Classification
The process of data classification can be broadly described as the organization of data into relevant categories, allowing it to be accessed and protected more efficiently. In the simplest terms, the data classification process ranks data based on its security needs and makes it easier to locate and retrieve data. Classification is especially useful to […]
Creating a Data Monetization Strategy
A data monetization strategy is an executable plan for extracting “value” from data and converting it into revenue-generating opportunities. It involves analyzing and leveraging data to uncover insights that can be used to drive business growth, enhance customer experiences, and create new revenue streams. Organizations collect large volumes of raw data from various sources such […]
How to Ensure Data Quality and Consistency in Master Data Management
In the digital age, organizations increasingly rely on data for strategic decision-making, making the management of this data more critical than ever. This reliance has spurred a significant shift across industries, driven by advancements in artificial intelligence (AI) and machine learning (ML), which thrive on comprehensive, high-quality data. This evolution underscores the importance of master […]
Unveiling the ROI Dilemma: How Data Blind Spots Impact Asset Owners’ Bottom Line
In today’s fast-moving investment world, corporate and insurance asset owners are operating in the dark, hindered by the absence of a standardized industry benchmark for an overall asset performance assessment. Asset owners usually have many other responsibilities beyond managing portfolio strategies, affecting their ability to allocate time to comprehensively evaluate and optimize the performance of […]
Data Lakehouse Architecture 101
A data lakehouse, in the simplest terms, combines the best functionalities of a data lake and a data warehouse. It offers a unified platform for seamlessly integrating both structured and unstructured data, providing businesses agility, scalability, and flexibility in their data analytics processes. Unlike traditional data warehouses that rely on rigid schemas for organizing and […]