Today, AI and ML are everywhere. Whether it’s everyone playing with ChatGPT (the fastest adopted app in history) or a recent proposal to add a fourth color to traffic lights to make the transition to self-driving cars safer, AI has thoroughly saturated our lives. While AI may seem more accessible than ever, the complexity of AI models has increased exponentially. AI models fall […]
Controlling SAP HANA Data Sprawl
Enterprises running large SAP HANA instances in the cloud are seeing a new challenge appear as their databases continue to grow. Since SAP HANA has a simplified data layout and structure compared to a more complex legacy database, it was assumed this would result in less data sprawl and duplication. But does the data stay […]
Multi-Cloud in the World of AI
ChatGPT has emerged as a groundbreaking innovation, taking the collective imagination of technologists by storm, and promising to revolutionize how humans and machines interact. Companies and developers worldwide are harnessing the power of ChatGPT. Many applications are in heavy development, and it has quickly become an essential component of the artificial intelligence (AI) ecosystem. The […]
Modeling Modern Knowledge Graphs
In the buzzing world of data architectures, one term seems to unite some previously contending buzzy paradigms. That term is “knowledge graphs.” In this post, we will dive into the scope of knowledge graphs, which is maturing as we speak. First, let us look back. “Knowledge graph” is not a new term; see for yourself […]
Why Metadata Is a Critical Asset for Storage and IT Managers
We live in a data-driven economy, but what lies beneath the data is hidden gold. Metadata, or data that describes data, delivers many benefits for storage and IT managers. Yet metadata is complex, vast, and distributed across hybrid cloud infrastructure. Understanding and strategically managing metadata as part of your overall data storage strategy has become central […]
4 Essential Data Management Principles
Data is central to modern businesses. However, most companies fumble their approach to Data Management and fail to draw insights as a result. Data Management might seem like a back-office function, but it is critical to a modern company’s success. Getting started with or fixing your Data Management processes might seem intimidating. Here are four essential Data […]
AI Voice Assistants Are Coming – But First We Must Secure Them
The next generation of voice assistants is coming. Hot on the heels of ChatGPT, generative AI is poised to take over the sector. This tech understands natural language, learns from vast amounts of data, and generates human-like responses. Applying these capabilities to the likes of Siri and Alexa will result in more efficient and complex interactions. Unlike […]
How FinOps Can Help Companies Optimize Their Cloud Instance
There’s a lot of buzz about FinOps, yet not many companies have incorporated it into their cloud strategy. According to our latest research – The State of Multi-Cloud Management – only 24% of surveyed organizations have a mature, effective FinOps practice in place. That number is predicted to grow, with 70% of respondents planning to make necessary […]
The Value of Data Analytics in the Health Care Industry
While the health care industry has lagged a bit behind other industries in adopting artificial intelligence (AI) and machine learning (ML) – and rightfully so, considering very valid security and safety concerns – its leaders have undergone a mindset shift, recognizing the value of technological innovations and data analytics. Since its implementation, data analytics has completely transformed health care, influencing […]
Dear Laura: How Will AI Impact Data Governance?
Welcome to the Dear Laura blog series! As I’ve been working to challenge the status quo on Data Governance – I get a lot of questions about how it will “really” work. I’ll be sharing these questions and answers via this DATAVERSITY® series. In 2019, I wrote the book “Disrupting Data Governance” because I firmly believe […]