Advanced data-intensive applications, the increased use of digitalization, and IoT devices are forcing organizations across various industries to reevaluate how they handle large amounts of data and exponential data growth effectively and efficiently. ZFS is a popular storage system because it is powerful and flexible, making it well-suited to handle large amounts of data while […]
The Cool Kids Corner: The Interplay Between Data Governance and AI
Hello! I’m Mark Horseman and welcome to The Cool Kids Corner. This is my monthly check-in to share with you the people and ideas I encounter as a data evangelist with DATAVERSITY. (Read last month’s column here.) This month, we’re talking about the interplay between Data Governance and artificial intelligence (AI). What do we need […]
Top Data Migration Considerations for Data Teams
Organizations have become highly data-centric in the past years, increasing complications and costs as the volume of data rose. However, data integrity issues alone cost organizations $12.9 million annually, on average, according to Gartner. Because of this, data professionals have spent valuable time, resources, and brainpower on identifying and solving data issues rather than higher-value tasks. […]
The Three Things Data Practitioners Struggle With
Data Management has never been more critical than today. As AI grows more prominent, data initiatives are more important than ever. As the digital age propels us forward, the need for robust DataOps strategies becomes evident. These strategies, however, are not devoid of challenges. Data-focused practitioners have a unique relationship with data. They are grappling […]
AI Will Make You 10X the Data Analyst, Not Take Your Job
AI isn’t here to replace data analysts; it’s here to unlock their full potential and dramatically scale their work. With AI as their powerful ally, data analysts can unlock latent value in data and lead the charge in the fourth industrial revolution. In a world where AI creates viral images and crafts hit music, it’s clear that we’re […]
Why Your Enterprise Needs Data-Centric Cybersecurity (and How to Achieve It)
Hardly a week goes by without news of another cybercrime. A recent example is the MOVEit breach, in which hackers stole data from customers of the MOVEit file transfer service. Between May and August, at least 600 organizations and 40 million users fell victim – with no apparent end in sight. One reason for the parade […]
Is Your Data Ready for Generative AI?
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 […]
Finding the Right Data Science Role: 4 Key Criteria
Landing a Data Science role is one thing, but joining an organization where you can truly thrive is quite another. As a Data Science talent strategy leader, I can share my perspective on what I believe solid organizations will have in place to foster an engaged and developing data science community. To anyone navigating today’s Data […]
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 […]
Self-Service Data Without Chaos
Information is power, and the ability to put information into the hands of those who can quickly act on it separates the leaders from the laggards in any market. Everyone in an organization – from HR professionals leveraging data to dictate hiring decisions to brand managers leveraging data for pricing optimization – benefits from analytics. […]