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May 3 2024

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 […]

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Crossing the Data Divide: AI Data Assistants — A Data Leader’s Force Multiplier

The focus of my last column, titled Crossing the Data Divide: Data Catalogs and the Generative AI Wave, was on the impact of large language models (LLM) and generative artificial intelligence (AI) and how we disseminate knowledge throughout the enterprise and the future role of the data catalogs. Spoiler alert if you have not read […]

Maximizing Business Value with Generative AI

Have we ever seen something get adopted so quickly as generative AI (GenAI) compared to the past? Think about it: ChatGPT launched in 2022 and gained 100 million users in two months. In comparison, we have been hearing about AI for a few years, but the adoption rates of AI have varied from 25% to […]

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Getting Ahead of Shadow Generative AI

Like any new technology, a lot of people are keen to use generative AI to help them in their jobs. Accenture research found that 89% of businesses think that using generative AI to make services feel more human will open up more opportunities for them. This will force change – Accenture also found that 86% […]

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Creative Ways to Surf Your Data Using Virtual and Augmented Reality

Organizations often struggle with finding nuggets of information buried within their data to achieve their business goals. Technology sometimes comes along to offer some interesting solutions that can bridge that gap for teams that practice good data management hygiene. We’re going to take a look deep into the recesses of creativity and peek at two […]

Generative AI Challenges and Opportunities for Modern Enterprises

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 […]

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How to Achieve Self-Service Data Transformation for AI and Analytics

Data transformation is the critical step that bridges the gap between raw data and actionable insights. It lays the foundation for strong decision-making and innovation, and helps organizations gain a competitive edge. Traditionally, data transformation was relegated to specialized engineering teams employing complex extract, transform, and load (ETL) processes using highly complex tooling and code. […]

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2024 Predictions in AI and Natural Language Processing (NLP)

While we were right at the dawn of generative AI this time last year, we didn’t predict quite the profound impact and seismic shift it would create around the world with the introduction of ChatGPT. In our set of 2023 predictions, we did note the potential effect of LLMs, with research showing their ability to self-improve, […]

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Author: Jeff Catlin and Paul Barba

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Jan 24 2024

Why Organizations Are Transitioning from OpenAI to Fine-Tuned Open-Source Models

In the rapidly evolving generative AI landscape, OpenAI has revolutionized the way developers build prototypes, create demos, and achieve remarkable results with large language models (LLMs). However, when it’s time to put LLMs into production, organizations are increasingly moving away from commercial LLMs like OpenAI in favor of fine-tuned open-source models. What’s driving this shift, and why are developers embracing it? The primary motivations are simple…

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Crossing the Data Divide: Data Catalogs and the Generative AI Wave

The “Tide” of LLMs Has Reached Our Shores As a career data professional and having spent most of the last 10 years with Collibra, Alation, and now as an independent, I’ve come to a somewhat painful, yet exciting realization that large language models (LLM) will completely disrupt and displace data cataloging as we know it! […]

The Promise and Potential of Human-Like Generative AI Chatbots

They’ve passed SATs, graduate records exams, and medical licensing exams, and programmers have used them to solve obscure coding challenges in seconds. Undoubtedly, generative AI chatbots’ capabilities are astounding, but this doesn’t mean they get it right every time. Despite their success in providing contextually relevant and, for the most part, accurate answers, can generative […]

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The Rise of RAG-Based LLMs in 2024

As we step into 2024, one trend stands out prominently on the horizon: the rise of retrieval-augmented generation (RAG) models in the realm of large language models (LLMs). In the wake of challenges posed by hallucinations and training limitations, RAG-based LLMs are emerging as a promising solution that could reshape how enterprises handle data. The surge […]

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Balancing Act: The Value of Human Expertise in the Age of Generative AI

Humans are considered the weakest link in the enterprise when it comes to security. Rightfully so, as upwards of 95% of cybersecurity incidents are caused by human error. Humans are fickle, fallible, and unpredictable, making them easy targets for cybercriminals looking to gain entry to organizations’ systems. This makes our reliance on machines that much more important. […]

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Life Sciences Need Scalable, Adaptable, and Flexible Data Management Systems

The life sciences industry has witnessed a surge in Data Management solution investments over the past few years. Despite these expenditures, however, these solutions all too often fail to keep pace with the latest technological advancements, leaving organizations struggling to address evolving pain points and integrate them with existing investments. Past Data Management systems, often […]

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2024: Fewer Hallucinations, Private LLMs, and IP Challenges for GenAI Content

For those of us who have been in the AI field for a while, we’ve weathered at least two “AI winters,” interspersed with phases of rapid progress. However, 2023 stands out as a pivotal moment in the trajectory of AI. ChatGPT and other large language models (LLMs) have democratized AI for non-experts, offering immense utility, […]

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Proper Data Management Drives Business Success

Data Management used to be an enhancement to business operations. But as the datasphere continues to grow exponentially, it’s now a critical factor to business success. This is inclusive of data visibility, access controls, classification, compliance, and backups. Successful business leaders will recognize that the ability to manage their company’s data effectively has substantial financial […]

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Benefitting from Generative AI: What to Expect in 2024

According to a recent McKinsey study, the impact of generative AI (GenAI) impact on productivity could add trillions of dollars in value to the global economy which they estimate will add the equivalent of $2.6 trillion to $4.4 trillion annually across the 63 use cases analyzed. About 75% of the value that GenAI’s use cases could […]

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2024 Data Trends: From Collaborative Data Sharing to AI-Driven Operations

In the fast-evolving data landscape, understanding emerging trends and embracing technological advancements are key to staying ahead. As we approach 2024, this article explores the data trends that will define the strategic landscape for the coming year. Trend: A Focus on Data Sharing and Data Collaboration Improving data sharing and secure data collaboration between parties is becoming a key area. Companies like Snowflake […]

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Blockchain-Based LLMs: A Game Changer for Data Privacy Protection

In today’s digital age, data privacy has become a major concern for individuals and organizations alike. With the increasing number of data breaches and unauthorized access to personal information, the need for robust data privacy protection measures has never been more pressing. That’s where blockchain-based large language models (LLMs) comes into play. Blockchain is a […]

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Five Trends Shaping Enterprise Data Labeling for LLM Development

In an era where large language models (LLMs) are redefining AI digital interactions, the criticality of accurate, high-quality, and pertinent data labeling emerges as paramount. That means data labelers and the vendors overseeing them must seamlessly blend data quality with human expertise and ethical work practices. Crafting data repositories for LLMs requires diverse and domain-specific […]

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Through the Looking Glass: Data Provenance in the Age of Generative AI

Am I right that you can’t open LinkedIn, read a tech or business blog, or attend a conference for more than 30 seconds without encountering the generative AI hype? It’s been this way ever since last fall when OpenAI unleashed ChatGPT upon a (mostly) unsuspecting world. Depending on who you read or listen to, generative […]

Data Governance in the Age of Generative AI

AI-based business models and products that use generative AI (GenAI) are proliferating across a wide range of industries. The current wave of AI is creating new ways of working, and research suggests that business leaders feel optimistic about the potential for measurable productivity and customer service improvements, as well as transformations in the way that […]

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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 […]

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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 […]

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Generative AI and Semantic Compliance

Only CPT and its peers know how many statements have been made based on results from generative AI. But there are loads of them. My background as a data modeler over many years makes me shiver a little bit, because what the friendly AI helpers help us produce is subjected to cognitive processes, where we, the readers, process […]

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