Generative AI (GenAI) is all the rage in the world today, thanks to the advent of tools like ChatGPT and DALL-E. To their credit, these innovations are extraordinary. They’ve put the power of artificial intelligence and machine learning (AI/ML) into the hands of everyday users. However, these tools have also skewed our perceptions of what […]
Strong AI/ML Must Be Founded on a Strong Data Strategy
The list of use cases powered by artificial intelligence (AI) and machine learning (ML) technologies is growing exponentially across nearly every business sector. Enterprises of all kinds are leveraging these advanced capabilities and scaling them through automation to improve business process management, sharpen organizational strategies, and reap more analytical and predictive insights from data for […]
Couchbase Adds Generative AI Capabilities to Database-as-a-Service Platform
According to a new press release, Couchbase, a leading cloud database platform company, has unveiled a groundbreaking feature called Capella iQ within its database-as-a-service offering, Couchbase Capella™. Capella iQ integrates generative AI capabilities to empower developers to create modern applications more efficiently and expeditiously. The tool enables developers to harness natural language processing to swiftly […]
Embracing Generative AI, Automation, and Dynamic AI Agents
Technological revolutions rarely happen all at once. The commercial internet launched in 1989, but it would take almost a decade before most businesses depended on it to function. This wasn’t because the technology wasn’t there yet; rather, it was because people are generally resistant to change. They fear the unknown, even when the unknown stands […]
Using Hyperautomation and Process Orchestration to Drive Optimal Efficiency
Organizations are increasingly turning to automation to achieve their most critical business goals. According to the 2023 State of Process Orchestration Report, 95% of teams credit automation for improving operational efficiency, while 94% acknowledge its role in enhancing customer experiences. To automate at scale, many teams implement a mix of technologies, tools, and platforms. One approach […]
How Reducing Bias in AI Models Boosts Success
Artificial intelligence (AI) has the potential to revolutionize industries and improve decision-making processes, but it is not without challenges. One challenge is how to address the issue of bias in AI models to ensure fairness, equity, and satisfying outcomes. AI bias can arise from various sources, including training data, algorithm design, and human influence during […]
Protecting Intellectual Property in the Age of LLM Generative AI Tools
The emergence of large language models (LLMs) has ushered in a new era of generative AI tools with unprecedented capabilities. These powerful models, such as ChatGPT and others, possess the ability to make contextual connections in ways that were previously unimaginable. While LLMs offer immense potential, there is a pressing need to address the potential […]
No Storage, No Future Tech: Why Cutting-Edge Innovations Rely on Tried-and-True Data Storage
Imagine if you asked a large language model to write a fantasy story about a girl who wanders into a magical forest and meets a pirate with the same name as your brother, a fairy allergic to pixie dust, and a cat who speaks in iambic pentameter. Then, pair that with an AI image generator […]
The Need for Holistic Market Data in Today’s Information-Driven Landscape
In the age of abundant information, companies face the challenge of extracting actionable insights from an overwhelming volume of data. Merely having access to “good data” is no longer sufficient; businesses require accurate, reliable, and unbiased information about customer opinions, behaviors, and motivations. Making informed business decisions necessitates holistic data that encompasses the entire market, […]
Overcome Data Parsing Obstacles with the Power of Machine Learning
Web scraping is used for, among other things, getting the vast volumes of publicly available data needed for training algorithms for machine learning (ML). The relationship between data scraping and ML is, however, symbiotic rather than one-sided. On the other side is ML’s ability to improve the fundamental procedures underlying web data gathering, making it […]