As we step into 2024, one trend stands out prominently on the horizon: the rise of retrieval-augmented generation (RAG) models in the realm of large language models (LLMs). In the wake of challenges posed by hallucinations and training limitations, RAG-based LLMs are emerging as a promising solution that could reshape how enterprises handle data. The surge […]
Three Myths About Generative AI in the Workplace – and How You Can Bust Them
In the past year or so, generative AI has received more media attention than any other type of technology. Up until this point, data science has been at the center of these innovation stories, and rightfully so: None of the next-generation technology tools can work without a strong data science program. As soon as generative […]
Unleashing the Power of AI in Life Sciences
The life sciences industry is generating an increasing number of data points a day. While this data is essential to helping organizations make insight-informed decisions about critical operations, such as in clinical trial development, it is also proving to be a complex and daunting task, taking a significant toll on sponsors and clinical sites. In their quest […]
Unstructured Data Management Predictions for 2024
As unstructured data continues to grow exponentially, it is creating an inflection point for IT leaders. The average enterprise IT organization is managing petabytes of file and object data. This has resulted in high costs for data storage and protection, growing security risks from shadow IT and too many data silos, and the desire to leverage […]
Life Sciences Need Scalable, Adaptable, and Flexible Data Management Systems
The life sciences industry has witnessed a surge in Data Management solution investments over the past few years. Despite these expenditures, however, these solutions all too often fail to keep pace with the latest technological advancements, leaving organizations struggling to address evolving pain points and integrate them with existing investments. Past Data Management systems, often […]
The Evolution of AI Graph Databases: Building Strong Relations Between Data (Part One)
We live in an era in which business operations and success are based in large part on how proficiently databases are handled. This is an area in which graph databases have emerged as a transformative force, reshaping our approach to handling and analyzing datasets. Unlike the conventional structure of traditional methods of accessing databases, which […]
Forget p(Doom): Here’s How to Hold AI Accountable by Creating an Inference Economy
AI’s existential risk is no laughing matter: As much as the tech world tries to make sense of it all, nobody definitively knows whether the dystopian “control the world” hype is legit or just sci-fi. Before we even cross that bridge (real or not), however, we need to face a more immediate problem. We’re already […]
Generative AI Trends for 2024
It sometimes seems like generative AI (GenAI) is sweeping the business world. Not so. We remain in the hype cycle, with forward-thinking organizations refraining from full-blown rollouts for the foreseeable future. Caution is important; organizations that rapidly deploy generative AI integrations have already faced blowback in the form of lawsuits and investor scrutiny. To avoid […]
What Trends to Expect in 2024 in Enterprise Storage? (Part One)
Looking ahead to the new year, we’ve identified seven trends in enterprise storage for 2024. In part one, we’ll define and explore the first four trends. The remaining three trends will be the focus of part two. This information will help equip you to prioritize and be successful in the new year. Trend: Freeing up […]
Benefitting from Generative AI: What to Expect in 2024
According to a recent McKinsey study, the impact of generative AI (GenAI) impact on productivity could add trillions of dollars in value to the global economy which they estimate will add the equivalent of $2.6 trillion to $4.4 trillion annually across the 63 use cases analyzed. About 75% of the value that GenAI’s use cases could […]