Large language models (LLMs) are a special type of AI model that uses natural language processing (NLP) to understand and generate text similar to human language. They are a form of generative AI trained on textual data to produce textual content. ChatGPT stands out as a well-known example of generative AI. Trained on massive datasets, LLMs […] The post Generic LLMs vs. Domain-Specific LLMs: What’s the Difference? appeared first on DATAVERSITY ..read more

The power of generative AI (GenAI) seems to have no limits. Every day, we see new barriers being broken and new use cases that no one thought possible. And yet, I can’t help but notice that most of these advances we’re hearing about revolve mostly around content creation. While remarkable in its own right, this begs the […] The post Beyond Generative AI and the Future of Innovation appeared first on DATAVERSITY ..read more

Personal data has emerged as a coveted asset, drawing attention not just from corporate establishments, but also from foreign actors. This interest has sparked a significant challenge – the legal sale of data to overseas entities, raising concerns about the implications for civilians and military personnel alike. The recent initiative by President Biden underscores the criticality of […] The post Mission Critical: Dispatch on Safeguarding Government Data appeared first on DATAVERSITY ..read more

Most, if not all, organizations need help utilizing the data collected from various sources efficiently, thanks to the ever-evolving enterprise data management landscape. Often, the reasons include:   1. Data is collected and stored in siloed systems 2. Different verticals or departments own different types of data 3. Inconsistent data quality across the organization Implementing a central […] The post MDM vs. CDP: Which Does Your Organization Need? appeared first on DATAVERSITY ..read more

Hello! I’m Mark Horseman, and welcome to The Cool Kids Corner. This is my monthly check-in to share with you the people and ideas I encounter as a data evangelist with DATAVERSITY. Last month we discussed data privacy. This month we’re talking about data leadership. What do we mean by data leadership? What are our challenges […] The post The Cool Kids Corner: Data Leadership (and the Importance of TNADVTMADHGI) appeared first on DATAVERSITY ..read more

Data is undeniably the modern fuel that keeps organizations up and running in the dynamic business landscape. Admit it: Every organization catering to its customers online is handling heaps of customer data, which is collected for various purposes, including marketing and personalization.  While most customers may offer their consent to use their personal details, most […] The post Unlocking Business Potential: Leveraging Data Protection for Growth and Privacy appeared first on DATAVERSITY ..read more

For better or worse, AI is causing disruption in almost every field imaginable. Corporations around the world are embracing its possibilities to make work more efficient. The success of ChatGPT and other generative AI tools has also caught the attention of nearly every industry in an effort to meet profitability, efficiency, and sustainability goals. Money […] The post Now Is the Time for Executives to Deploy Ethical Rules Around AI appeared first on DATAVERSITY ..read more

Welcome to the inaugural edition of Mind the Gap, a monthly column exploring practical approaches for improving data understanding and data utilization (and whatever else seems interesting enough to share). This month, we start not with a gap but with a chasm – one that’s at the core of a bewildering paradox. We continue to see […] The post Mind the Gap: The Data Chasm appeared first on DATAVERSITY ..read more

Structured query language (SQL) is now 50 years old. The original paper for SQL (then called SEQUEL) was published in May 1974 by Raymond Boyce and Donald Chamberlin, and provided a guide for data manipulation based on a set of simple commands. Today, we take SQL for granted around data – it is still the third most […] The post SQL at 50: A Lesson in How to Stay Relevant Around Data appeared first on DATAVERSITY ..read more

Businesses today are drowning in data. The sheer volume and complexity of information available have made it increasingly difficult for organizations to extract meaningful insights using traditional business intelligence (BI) tools and the expertise of specialized data scientists. This is where augmented analytics comes in. This game-changing technology combines the power of artificial intelligence (AI) […] The post The Rise of Augmented Analytics: Combining AI with BI for Enhanced Data Insights appeared first on DATAVERSITY ..read more