Large language models (LLMs) are the backbone of modern natural language processing. They predict words, craft sentences, and mimic human language at scale. But underneath their polished outputs lies a limitation: They only replicate patterns seen in their given or training data. What happens when we want LLMs to go beyond this – when they…
Data management professionals face growing challenges in handling the vast amounts of live data generated by live systems, such as transportation networks, power grids, and security infrastructures. IoT devices have proliferated widely and produce real-time data on an unprecedented scale, placing significant demands on traditional data processing methods. Legacy approaches – often reliant on batch…
Extracting tangible business benefits from data and analytics projects, including those involving AI, has proven challenging for most enterprises. In 2019, VentureBeat reported that 87% of data and analytics (D&A) projects failed to reach production. In 2022, Gartner found that only 20% of insights derived from analytics translated into business outcomes. Despite various reasons for…
Have you noticed the way that businesses grow is changing? We are moving away from standard sales-driven models to more innovative product-led tactics. And what is fueling this shift? You guessed it: AI and predictive analytics. These tools are not just fancy jargon; they are transforming how we understand customer needs, customize experiences, and upgrade…
How will data visualization evolve in the era of AI/ML? While AI is rapidly evolving, it is ironic that business users are still using “dumb” dashboards. The challenge is to move beyond these unintelligent dashboards to a genuinely transformative visual analytics solution that harnesses the power of AI/ML. While some vendors offer a ChatGPT-like querying…
Large language models (LLMs) are advanced AI systems designed to process and generate human-like text by training on extensive datasets. They excel in tasks ranging from translation and summarization to answering questions and writing content, effectively simplifying what used to be labor-intensive, complex interactions between humans and machines. LLMs represent a transformative leap in artificial…
Business intelligence (BI) has historically been a platform for data and business analysts who build dashboards for executives to make decisions. But the generative AI (GenAI) explosion over the past 18 months has changed the game. People everywhere have tasted the power of ChatGPT and now want a natural language interface to every application. But…
In recent months, particularly following the release of ChatGPT, there has been an unprecedented surge in interest surrounding artificial intelligence (AI). This heightened attention spans across a multitude of sectors, including business enterprises, technology companies, venture capital firms, universities, governments, media outlets, and more. As the interest in AI is intensifying, some companies have even…
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)…
Marketing budgets are never entirely safe. While it may seem like pressure is easing as global economic estimates turn slightly sunnier, consumer demand is still getting more expensive to capture and close – which means scrutiny from finance chiefs is as tough as ever. To keep investment flowing, CMOs need to get better at not only boosting…
