Generative AI (GenAI), machine learning (ML), and large language models (LLMs) are all becoming increasingly important to modern enterprises, but achieving measurable value from AI is still a challenge. Part of the issue is that a well-trained AI model relies on a large amount of data, and for many companies, organizing and making use of […]
How to Become a Data Engineer
The work of data engineers is extremely technical. They are responsible for designing and maintaining the architecture of data systems, which incorporates concepts ranging from analytic infrastructures to data warehouses. A data engineer needs to have a solid understanding of commonly used scripting languages and is expected to support the steady evolution of improved Data Quality, […]
A Brief History of Generative AI
Generative AI has a fairly short history, with the technology being initially introduced during the 1960s, in the form of chatbots. It is a form of artificial intelligence that can currently produce high-quality text, images, videos, audio, and synthetic data in seconds. However, it wasn’t until 2014, when the concept of the generative adversarial network […]
2024’s Predominant Technology Trend? The Cloud
As AI becomes an integral part of business processes and strategic planning, organizations have increasingly based their data strategies around its capabilities. Businesses are generating more data than ever from sources like IoT sensors, customer transactions, social media, and more; managing and extracting value from this explosion of big data has become a key priority. […]
7 Ways AI Will Transform Data Storage
The rapid adoption of artificial intelligence and machine learning (AI/ML) over the past year has transformed just about everything – ushering in a new era of innovation and growth the world has never seen. The same goes for data storage, where the technologies’ impact will be transformative, enabling greater business agility that companies need to […]
Data Science for All: How Open Source Levels the Playing Field in a Talent-Starved Market
Despite today’s data scientist talent shortage, organizations are not holding back from investing in Data Science initiatives. A recent survey produced by my company in collaboration with TechTarget’s Enterprise Strategy Group shows that most organizations understand how to overcome today’s talent shortage. 87% of respondents said that building Data Science skills across domains and lines of business departments is a […]
From Neural Networks to Transformers: The Evolution of Machine Learning
Foundation models like large language models (LLMs) are a vast and evolving subject, but how did we get here? To get to LLMs, there are several layers we need to peel back starting with the overarching topic of AI and machine learning. Machine learning is within AI and it’s simply the process of teaching computers to learn from and make decisions based on data…
How AI Graph Databases Are Empowering the Business with Better Insights (Part Two)
In the dynamic landscape of data-driven decision-making, businesses are turning to the transformative power of AI graph databases to unlock unparalleled insights. This cutting-edge technology is reshaping the way organizations harness and analyze interconnected data, paving the way for more informed, strategic, and agile business strategies.
In the first part of this blog series, we discussed…
Machine Learning Concepts for Beginners
Machine learning (ML), a branch of artificial intelligence (AI), has gained significant attention in recent years. ML focuses on training computers to learn from data, with the help of algorithms and models, to make…
Machine Learning Techniques for Application Mapping
Application mapping, also known as application topology mapping, is a process that involves identifying and documenting the functional relationships between software applications within an organization. It provides a detailed view of how different applications interact, depend on each other, and contribute to the business processes. The concept of application mapping is not new, but its […]