In our fast-paced, interconnected digital world, data is truly the heartbeat of how organizations make decisions. However, the rapid explosion of data in terms of volume, speed, and diversity has brought about significant challenges in keeping that data reliable and high-quality. Relying on traditional manual methods for data governance just doesn’t cut it anymore; in […]
Turning Data into Insights: A Smarter Playbook for Mid-Size Businesses
In today’s hyper-competitive economy, data is a critical asset that drives innovation, strategic decision-making, and competitive advantage. However, for many mid-sized organizations, turning raw data into actionable business intelligence (BI) is challenging. The rapid pace of technological advancements, coupled with increasingly complex data environments, presents significant hurdles, particularly for those with limited resources to build […]
Generative AI Calls for a Master Class in Enterprise Storage
The data that is stored in vector databases is key to the success of generative AI (GenAI) for enterprises in all industries. Up-to-date, private data in company data sources, including unstructured data and structured data, is what is required during AI inferencing to make GenAI models more accurate and relevant. To make the data systematically […]
The Rise of BYOC: How Data Sovereignty Is Reshaping Enterprise Cloud Strategy
Enterprise technology leaders face mounting pressure to balance competing priorities. Cloud platforms offer unprecedented innovation, potential, and scale, but regulatory compliance requirements and data control mandates create friction when trying to consolidate everything in a public cloud. And shifting to a full SaaS environment just gives up too much control for these large companies, creating […]
Real-Time Financial Data: Transforming Decision-Making in the Banking Sector
Think of a bank’s treasurer responsible for international cash movement across its global accounts. He receives a notification that a significant amount has been credited to one of the accounts in Asia. A few minutes later, the funds have been transferred to clear up a cash requirement on the other side of the world in Europe. […]
Ask a Data Ethicist: How Do Technical Data Choices in ML Lead to Ethical Issues?
A lot of times, ethical issues in AI systems arise from the most mundane types of decisions made about data such as how it is processed and prepared for machine learning (ML) projects. I’ve been reading Designing Machine Learning Systems by Chip Huyen, which is filled with practical advice about design choices in machine learning […]
Analytics and Citizen Data Scientists Ensure Business Advantage
Do you want your business users to embrace and use analytics? You want your business to enjoy the benefits of fact-based decision making? You want your business to use the tools of business intelligence to improve market presence, customer satisfaction and team productivity and collaboration? A scarcity of data scientists will no longer hinder the […]
Mind the Gap: AI-Driven Data and Analytics Disruption
We are at the threshold of the most significant changes in information management, data governance, and analytics since the inventions of the relational database and SQL. Most advances over the past 30 years have been the result of Moore’s Law: faster processing, denser storage, and greater bandwidth. At the core, though, little has changed. The basic […]
Why and How to Unlock Proprietary Data to Drive AI Success
These days, virtually every company is using AI – and in most cases, they’re using it through off-the-shelf AI technologies, like Copilot, that offer the same capabilities to every customer. This begs the question: How can a business actually stand out in the age of AI? Rather than just adopting AI as a way of keeping […]
Unlocking Unstructured Data: Fueling AI with Insights
IDC reports that around 90% of the data in the digital world is unstructured. This encompasses data like PDFs, PowerPoints, emails and images, all containing valuable information that traditional structured databases can’t gather. As artificial intelligence (AI) becomes more widespread, the importance of unstructured data grows. Businesses now face the challenge of organizing and utilizing these diverse data sources so AI models can fully leverage their potential, which is much easier said than done. […]