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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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Author: Usman Shuja

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 […]

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Author: Dave Stokes

Smart Data Fingerprinting: The Answer to Data Management Challenges


The world generated 120 zettabytes of data in 2023, on track for a 1.5x growth over two years to exceed 180 zettabytes in 2025. Unfortunately, data management strategies have not kept pace with the evolution and expansion of data, largely continuing to work with old-world processes and structured information stored in historical databases. There is an […]

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Author: Sunil Senan

The Rise of Augmented Analytics: Combining AI with BI for Enhanced Data Insights


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) […]

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Author: Nahla Davies

Data Labeling Challenges and Solutions


In the rush to adopt AI across diverse sectors, today’s enterprises face a common hurdle: efficient data labeling at scale. Numerous enterprises are grappling with generating usable data despite having huge amounts of raw information. Organizations are overwhelmed by the influx of image data, highlighting the need to process and label it for practical use. Data […]

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Author: Hemanth Yamjala

Human-AI Collaboration: How AI Can Enhance Human Capabilities and Ethical Considerations


Artificial intelligence is here to change the world, and it is up to us to embrace this technology and use it responsibly to reap its full potential. Although critics have expressed some valid concerns about the potential harm that AI technology could bring about, fostering an AI-human collaboration can allow us to use this powerful […]

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Author: Ed Watal

How AI Can Improve Company Performance Through Better DEX 


In tech circles these days, one topic drives every conversation: artificial intelligence (AI). Whether discussing the potential benefits of increased productivity or the potential risks, the role of AI in business is on the minds of everyone, from C-suite leaders to recent college graduate hires. AI is a hot topic because while people can see […]

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Author: Mike Marks

Good Data Quality Is the Secret to Successful GenAI Implementation


You wouldn’t build a house without a concrete foundation. So why are many technology leaders attempting to adopt GenAI technologies before ensuring their data quality can be trusted? Reliable and consistent data is the bedrock of a successful AI strategy. Incomplete or inconsistent data prompts GenAI models to propose equally unreliable outputs, calling the basic […]

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Author: Stephany Lapierre

Data-Driven Defense: AI as the New Frontier in Business Security


Major business setbacks due to risk management failures happen every year. They are also some of the costliest, adding up to millions of dollars in regulatory fines, lawsuits, payouts, and lost brand value. Leaders want to avoid these types of issues and rely on sound internal data management to mitigate risk and maintain confidence and […]

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Author: Prasad Sabbineni

How In-Database Machine Learning Transforms Decision-Making


In the contemporary landscape of data-driven decision-making, enterprises are increasingly turning to predictive analytics to gain valuable insights into future trends and behaviors. Predictive analytics involves extracting patterns from historical data to forecast future outcomes, enabling organizations to make proactive decisions and optimize their operations. Traditionally, predictive analytics has been performed using standalone machine learning […]

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Author: Pankaj Zanke

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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Author: Chetan Alsisaria

Ask a Data Ethicist: How Can We Address the Ethics of Reusing Data?


Reusing data is a fundamental part of artificial intelligence and machine learning. Yet, when we collect data for one purpose, and use it for other purposes, we could be crossing both legal and ethical boundaries.  How can we address the ethics of reusing data? Understand Your Data Before we address the issue of reuse, we […]

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Author: Katrina Ingram

Why It’s Time to Rethink Generative AI in the Enterprise


If you’ve been keeping an eye on the evolution of generative AI (GenAI) technology recently, you’re likely familiar with its core concepts: how GenAI models function, the art of crafting prompts, and the types of data GenAI models rely on. While these fundamental components within GenAI remain constant, the way they’re applied is transforming. The […]

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Author: Eamonn O’Neill

Why the Rise of LLMs and GenAI Requires a New Approach to Data Storage


The new wave of data-hungry machine learning (ML) and generative AI (GenAI)-driven operations and security solutions has increased the urgency for companies to adopt new approaches to data storage. These solutions need access to vast amounts of data for model training and observability. However, to be successful, ML pipelines must use data platforms that offer […]

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Author: Marty Kagan

How Artificial Intelligence Will First Find Its Way Into Mental Health


Artificial intelligence (AI) startup Woebot Health made the news recently for some of its disastrously flawed artificial bot responses to text messages that were sent to it mimicking a mental health crisis. Woebot, which raised $90 million in a Series B round, responded that it is not intended for use during crises. Company leadership woefully […]

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Author: Bruce Bassi

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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Author: Dom Couldwell

The Drive Toward the Autonomous Enterprise Is a Key Focus for IT Leaders in 2024


According to Gartner, 80% of executives see automation as a vital thread that supports informed business decisions. And they’re right. In today’s business landscape, automation has transcended a mere “nice-to-have” and become a fundamental driver of organizational success. It’s not just transforming tasks but reshaping businesses from the inside out. Enhanced resilience, richer customer experiences, and a sharper […]

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Author: Avi Bhagtani

The Best Methodology for Moving AI Data and Keeping It Safe


Artificial intelligence (AI) has the power to change the global economy and potentially, one day, every aspect of our lives. There are numerous possible uses for the technology across industries, and new AI projects and applications are frequently released to the public. The only restriction on AI’s use appears to be the inventiveness of human beings. AI […]

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Author: Kevin Cole

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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Author: Coral Trivedi

The AI Trust Gap: A Psychological Perspective

Only 52% of employees are confident their organization will ensure AI is implemented in a responsible and trustworthy way, according to Workday’s Closing the AI Trust Gap report. Trust will be key to getting employees engaged in the change needed to realize AI’s full potential. In my last post I looked at what can be done from a cultural perspective. In this […]

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Author: Dan Everett

The Rise of Generative AI in Insurance


The global market for artificial intelligence (AI) in insurance is predicted to reach nearly $80 billion by 2032, according to Precedence Research. This growth is being driven by the increased adoption of AI within insurance companies, enhancing their operational efficiency, risk management, and customer engagement. Despite widespread integration of AI in the industry today, its full […]

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Author: Stan Smith

Ask a Data Ethicist: What Data Is OK to Use to Prompt ChatGPT?


Millions of people are using ChatGPT on a regular basis to assist them in both personal and professional capacities. This month’s question centers on the data used to prompt ChatGPT.  Our reader, who shared that they are an ESL speaker, would like to know if it’s ethical to have ChatGPT create summaries of information (specifically, […]

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Author: Katrina Ingram

How GenAI Bridges the Data Gap Between CMOs and CFOs


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 […]

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Author: Harriet Durnford-Smith

2024’s Predominant Technology Trend? The Cloud


As AI becomes an integral part of business processes and strategic planning, organizations have increasingly based their data strategies around its capabilities. Businesses are generating more data than ever from sources like IoT sensors, customer transactions, social media, and more; managing and extracting value from this explosion of big data has become a key priority. […]

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Author: Chris Heard

7 Ways AI Will Transform Data Storage


The rapid adoption of artificial intelligence and machine learning (AI/ML) over the past year has transformed just about everything – ushering in a new era of innovation and growth the world has never seen. The same goes for data storage, where the technologies’ impact will be transformative, enabling greater business agility that companies need to […]

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Author: Scott Hamilton