AI and machine learning can be revelatory for organizations inundated with a sea of data and grappling to find ways to generate meaningful insights from it. AI tools help identify patterns and trends within large datasets that are often challenging for humans to discern. These tools can be trained to make predictions based on historical […]
DataStax Announces New Hyper-Converged Data Platform with Vector Search and Generative AI
According to a new press release, DataStax has announced the upcoming release of its Hyper-Converged Data Platform (HCDP) and DataStax Enterprise (DSE) 6.9, both designed to empower enterprises with generative AI and vector search capabilities for their self-managed data workloads. HCDP is tailored for modern data centers and Hyper-Converged Infrastructure (HCI), providing support for a […]
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 […]
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 […]
Now Is the Time for Executives to Deploy Ethical Rules Around AI
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 Impact of Generative AI on Data Science
As businesses adopt generative AI, a technology that creates new content and finds patterns, what will Data Science, the processes and activity geared to getting insights from big data, look like? How will this kind of analytical work change? Will there be an increased or decreased need for data scientists? How should businesses adapt their information […]
SQL at 50: A Lesson in How to Stay Relevant Around Data
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 […]