What are the biggest data strategy challenges facing you and your company? If you are like most, the main reason for developing a data strategy is to be capable of supporting the growth strategy of each type of business in an exclusive way – to offer competitive resilience with balance and maturity to defend and […]
Lost in Translation: Language Gap Holds Back GenAI in Life Sciences Industries
Across industries, organizations continue to seek out a range of use cases in which to deploy advanced intelligence. With the development of generative artificial intelligence (GenAI), various industries are leveraging the technology to process and analyze complex data, identify hidden patterns, automate repetitive tasks and generate creative content. The promise of GenAI is transformative, offering […]
Building a Common Data Language: How a Semantic Layer Drives Collaboration and Trust
The self-service analytics revolution was intended to free business users from IT chains. The idea was to break the IT bottleneck by allowing businesses to create their own data products. After all, businesses understand their respective domains better than anyone in IT could, and decentralizing the work of creating data products should theoretically increase the […]
How Changes to Cloud Egress Fees May – or May Not – Help You Save Money
For years, cloud egress fees – the costs incurred when data moves out of a cloud environment – were like death and taxes. They were unavoidable for any organization that used the cloud. But that has changed over the past few months as major cloud providers Google, Amazon and Microsoft have announced the discontinuation of […]
Data Retention Policies Must Evolve to Address Emerging Technologies and Data Growth
The emergence of new technologies, including AI, IoT, and blockchain, in addition to the widespread embrace of digital transformation, has driven a dramatic increase in data. The reliance on data analytics to drive data-driven decision-making also requires large volumes of data for meaningful insights. While AI and generative AI (GenAI) tools and systems contribute to […]
Conversational AI’s Quantum Leap: How RAG Is Enabling Smarter Chatbots
Chatbots were among the first apps that testified to the mainstream adoption of AI and inspired further innovations in the conversational space. Now, it’s time to move on from just responding bots to emphatic companions that further reduce the dependency on human intelligence. RAG-enabled chatbots are proactive in responding to and addressing queries in real […]
Mitigating Risks and Ensuring Data Integrity Through Legacy Modernization
Legacy systems are the backbone of many businesses, especially those in the industry for decades. These systems ensure a stable and reliable platform for conducting smooth business operations. However, decade-old legacy systems can also pose risks and challenges to data integrity that can affect an organization’s overall growth and success. In response to these challenges, […]
AI Has the Potential to Bring Cloud Sprawl Back Under Control
Enterprises continue to produce an explosive volume of data each year, so much so that companies admit up to 60% of their data goes unused, and one-third of enterprises report feeling overwhelmed with rising data quantities. Cloud-based data storage solutions have made it easier than ever to store this vast amount of data, and for companies who […]
Ask a Data Ethicist: What Is Data Sovereignty?
Recently, my DATAVERSITY colleague Mark Horseman shared that he’d been getting a lot more questions about Indigenous data sovereignty. We both agreed it would make a great topic for this month’s column. What is Indigenous data sovereignty, why does it matter, and how can we learn more about it? To answer these questions, it helps […]
How Not to Put Data Governance into Practice: Four Common Mistakes
There’s a fair amount of high-level advice on the internet about implementing data governance, which means the practices an organization uses to ensure its data is available, usable, complete, and secure. But what you won’t find, at least not in abundance, is guidance about what not to do when establishing a data governance practice. That’s unfortunate, because […]