In today’s fast-paced digital landscape, the demand for flexible, scalable, and independent application deployment is more critical than ever. Microservices architecture has emerged as a game-changer in how developers build and manage applications, allowing for the decomposition of traditional monolithic systems into independently deployable services. Coupled with the power of Amazon Web Services (AWS) Relational […]
How to Assess GenAI’s Impact on Your Business
Since the beginning of 2023, generative AI (GenAI) has quickly made a significant impact across an expanding range of industries and applications. In just over a year since its groundbreaking debut, there’s much to celebrate about GenAI – and even more to still uncover and understand. Today, 79% of employees report at least some exposure to AI, […]
In the Age of AI, How Can We Empower Everyone to Automate Work?
From boosting efficiency to making data-driven decisions faster, the benefits of using AI and automation in the workplace are numerous. But understandably, there’s also plenty of apprehension among some team members. According to new research, around 80% of those who work in a digital setting and use AI say that it’s already improving their productivity. And […]
Ask a Data Ethicist: What Happens When Language Becomes Data?
At a recent presentation for a local post-secondary institution, I fielded a number of questions related to the use of language, primarily English language texts, as training data for generative AI. There were questions around cultural impacts and related ethical concerns. These queries were more nuanced than the usual ones I get around copyright or […]
Data Intelligence: The Key to Empowered People and Decisions
McKinsey analysts predict that enterprise employees will rely on data for almost every decision come 2025. If true, this development would mark a significant departure from the current business modus operandi. According to our research, only 25% of enterprise data professionals believe their organization’s decision-making process is data-backed or strategic. How are these two concepts – the perception of data […]
Generic LLMs vs. Domain-Specific LLMs: What’s the Difference?
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 […]
Beyond Generative AI and the Future of Innovation
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 […]
Mission Critical: Dispatch on Safeguarding Government Data
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 […]
MDM vs. CDP: Which Does Your Organization Need?
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 Cool Kids Corner: Data Leadership (and the Importance of TNADVTMADHGI)
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 […]