AI Across Markets and Industries

With all the noise around generative AI (GenAI) since the advent of ChatGPT, has the signal gotten lost? Are we missing the one "killer app" that will make GenAI indispensable? What is more likely is that multiple killer apps will surface across many markets and industries.

OpenAI Faces 7 More Lawsuits Alleging ChatGPT Caused Delusions and Led to Suicide

Another round of lawsuits has been filed against ChatGPT company OpenAI. According to AP, the 7 lawsuits allege that ChatGPT drove people to suicide and harmful delusions even when they had no prior mental health issues.

Building Enterprise-Grade AI Applications

As the C-suite continues to marvel at AI, many companies are settling into the early stages of undertaking enterprise AI adoption in targeted areas now that the "winner takes all" rush to apply AI technologies to outpace the competition is mostly gone.

AI and Data Governance: Ensuring Compliance, Security, and Trust

Data governance has evolved. What once meant checkbox compliance now demands fundamental organizational transformation. AI systems permeate every business function, and traditional frameworks cannot handle this reality.

Sharing Knowledge at Speed and Scale: The Convergence of KM and AI

Instant answers and algorithmic insights have become a fact of life and are now expected when searching, problem-solving, and, well, working in general. Today's technology makes it very easy to mistake "fast" for "smart."

The AI-Driven Workforce: Transforming Organizations Through Arts-Based Interventions

In our rapidly evolving, AI-driven workplaces, organizations face unprecedented human resource challenges. The pace of change is creating exhausted and burnt-out employees. An energy, engagement, and productivity crisis is affecting AI-driven workforces worldwide. Rooted in industrial-age thinking, traditional approaches to workplace efficiency are proving inadequate for our volatile, uncertain, complex, ambiguous (VUCA) world.

The Explainable AI Imperative: Why Curation Is the Missing Architecture

You've witnessed the spectacle. Large language models (LLMs) trained on the internet's vast corpus—Reddit threads, Wikipedia edits, forum arguments, and digital detritus—demonstrating seemingly magical capabilities. Yet when enterprises attempt to deploy these systems for critical decisions, they discover an uncomfortable truth—they've built Ferraris without windshields, dashboards, or steering wheels.

The Rise of Agentic AI: Why Your AI Agent Is Clueless

Enterprises are rushing to adopt so-called "agentic AI," systems that promise to not just answer questions, but also take actions, automate tasks, and drive decisions. In theory, these agents can draft emails, update records, generate product specs, or flag anomalies without human involvement. In practice? Most deployments don't make it past the demo.

The Power of RAG

Think back a few years to OpenAI's initial introduction of its generative AI (GenAI) chatbot—the excitement, the promise of marvelous opportunities, the sense of a change for the better. It wasn't long before the euphoria of GenAI wore off and people started noticing that large language models (LLMs) could produce absolutely fabulous results, but they could also deliver flawed information that looked plausible but was untrue.

Architecting a Modern Data Stack for AI Agents

Even if you've got a brand-new business model based specifically on the capabilities of a language-centered AI agent, you still have to deal with time-honored challenges such as disparate and scattered data, slow response, finding necessary information, and trusting that information.

Making Data More Accessible and Usable: Knowledge Graphs, Semantic Layers, and Vector Databases

The collective fields of knowledge, data, content, and information management have experienced massive changes over the last several years. AI, not long ago a concept mainly reserved for science fiction, has become an everyday tool for information workers.

Fast, Accurate, Relevant, Intuitive: The Future of Search

What attributes come to mind when you consider a great search experience? You would probably say it is fast, accurate, relevant, and intuitive. You would focus on what the act of searching allowed you to achieve.

OpenAI Faces Wrongful Death Lawsuit

Now, OpenAI faces its first known wrongful death lawsuit after a teen died by suicide further spurred on by ChatGPT, The New York Times reports.

Exploring the ‘SIX D’S’ Framework for Language Model Training and AI Agent Creation

The integration of AI into customer service and support is by no means a futuristic vision—it is a present-day reality. AI is reshaping how organizations engage with their customers.

Guarding Against Bias When Training Language Models

Machine learning models return biased results when the datasets used to train them contain bias. Instances of social bias, skewed model results, and outputs that don't represent the full scope of a business problem for a specific domain are some of the caveats when employing this technology.

AI Techniques Powering Enterprise Productivity: From Automation to Augmented Intelligence

AI stands beyond experimental status—it is a founding power for corporate productivity delivery. From automating repetitive workflows to enhancing complex decision making, AI transforms how work gets done.

Accelerating AI Development With Synthetic Data

Synthetic data applications are at the intersection of some of the most meaningful developments in enterprise AI. Synthetic data techniques represent some of the earliest manifestations of generative AI and predate the widespread adoption of language models. In fact, employing synthetic data is one of the foremost methods of building—and fine-tuning—language models and foundation models in general.

AI Enhances Customer Service in Several Ways

Although the initial seeds of generative AI (GenAI) were planted in the 1960s, for the most part it didn't come into full bloom until the introduction of ChatGPT in November 2022. Before that, GenAI had all but the most nascent use in business. As the technology entered the public consciousness, it spread across industries from entertainment to manufacturing to healthcare for a wide variety of uses, including customer service.

The Homepage of the Future: Evolution, AI, and the End of Navigation

The evolution of web homepages reflects the internet's transformation during the past 3 decades. From simple, text-based pages to sophisticated, AI-driven interfaces, homepages have adapted to meet changing user needs and technological advancements.

The Rise of GenAI and LLMs

In 1950, Alan Turing suggested a test to determine if computers could mimic human intelligence well enough that an impartial observer could no longer tell the difference. We are still talking about the Turing Test almost 75 years after its inception.