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Author: Robert S. Seiner
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Author: Steve Hoberman
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Author: William A. Tanenbaum and Isaac Greaney
In 2025, preventing risks from both cyber criminals and AI use will be top mandates for most CIOs. Ransomware in particular continues to vex enterprises, and unstructured data is a vast, largely unprotected asset. AI solutions have moved from experimental to mainstream, with all the major tech companies and cloud providers making significant investments in […]
The post What to Expect in AI Data Governance: 2025 Predictions appeared first on DATAVERSITY.
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Author: Krishna Subramanian
Predictions are funny things. They often seem like a bold gamble, almost like trying to peer into the future with the confidence we inherently lack as humans. Technology’s rapid advancement surprises even the most seasoned experts, especially when it progresses exponentially, as it often does. As physicist Albert A. Bartlett famously said, “The greatest shortcoming […]
The post AI Predictions for 2025: Embracing the Future of Human and Machine Collaboration appeared first on DATAVERSITY.
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Author: Philip Miller
More and more enterprises are looking to automation and AI to deliver new efficiencies and give their organizations an edge in the market. Data is the engine that powers both automation and AI. But data must be clean and user-friendly for these systems to work effectively and deliver on their promise. Lots of organizations are […]
The post From Input to Insight: How Quality Data Drives AI and Automation appeared first on DATAVERSITY.
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Author: Amol Dalvi
In today’s fast-paced digital landscape, we all love a little bit of personalization. Whether it’s Netflix suggesting our next binge-worthy show or Spotify curating our playlists, these tailored experiences make us feel understood and valued. But with growing concerns around user privacy, how can companies achieve this level of personalization without compromising our personal data? […]
The post Delivering Personalized Recommendations Without Sacrificing User Privacy appeared first on DATAVERSITY.
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Author: Ganapathy Subramanian Ramachandran
Brands, publishers, MarTech vendors, and beyond recently gathered in NYC for Advertising Week and swapped ideas on the future of marketing and advertising. The overarching message from many brands was one we’ve heard before: First-party data is like gold, especially for personalization. But it takes more than “owning” the data to make it valuable. Scale and accuracy […]
The post Beyond Ownership: Scaling AI with Optimized First-Party Data appeared first on DATAVERSITY.
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Author: Tara DeZao
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Author: Randall Gordon
There is no doubt that machine learning (ML) is transforming industries across the board, but its effectiveness depends on the data it’s trained on. The ML models traditionally rely on real-world datasets to power the recommendation algorithms, image analysis, chatbots, and other innovative applications that make it so transformative. However, using actual data creates two significant challenges […]
The post Synthetic Data Generation: Addressing Data Scarcity and Bias in ML Models appeared first on DATAVERSITY.
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Author: Anshu Raj
Extracting tangible business benefits from data and analytics projects, including those involving AI, has proven challenging for most enterprises. In 2019, VentureBeat reported that 87% of data and analytics (D&A) projects failed to reach production. In 2022, Gartner found that only 20% of insights derived from analytics translated into business outcomes. Despite various reasons for […]
The post A Financial Approach to Evaluating Data, Analytics, and AI Investments appeared first on DATAVERSITY.
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Author: Prashanth Southekal, Varun Vemula, and Zain Raza Nayani
The rush is on to deploy chatbots. Chatbots rely on data to power their outputs; however, companies that prioritize data quantity over quality risk creating systems that produce unreliable, inappropriate, and simply incorrect responses. Success in this field depends on rigorous data standards and ongoing quality control rather than simply accumulating more training data. When […]
The post Chatbot Quality Control: Why Data Hygiene Is a Necessity appeared first on DATAVERSITY.
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Author: Todd Fisher
Imagine a world where your data not only tells a story but also anticipates your next move – this is the promise of effective data management in the AI era. As organizations try to deal with vast amounts of information, three key components have emerged as essential for unlocking the full potential of data: metadata, […]
The post Essential Components for Effective Data Management in the AI Era appeared first on DATAVERSITY.
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Author: Joel Christner
It is now well understood that integrating AI into an organization’s digital infrastructure will unlock real-time insights for decision-makers, streamline internal workflows by automating repetitive tasks, and enhance customer service interactions with AI-powered assistants. This technology will accelerate everything from purchases to personalized service requests. These benefits have made AI an essential component of modern […]
The post Crafting a Secure Future: Integrating an AI-First Security Posture appeared first on DATAVERSITY.
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Author: Donnchadh Casey
The widespread adoption of artificial intelligence (AI) and machine learning (ML) simultaneously drives the need for cloud computing services. Enterprises aiming to effectively train huge datasets and navigate advanced neural networks will need to rely on more flexible and dependable solutions for managing challenging computing tasks. That is why organizations should look to hybrid solutions […]
The post AI Advancement Elevates the Need for Cloud appeared first on DATAVERSITY.
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Author: Richard Copeland
Organizations are racing to adopt AI for its promise of efficiency and insights, yet the path to successful AI integration remains fraught with obstacles. Despite advancements in tools like ChatGPT and Google’s Gemini, fundamental issues with data governance – such as high costs, poor data quality, and security concerns – continue to hinder progress. Stop me […]
The post New Tools, New Tech, Same Roadblocks: Data Governance in the Age of AI appeared first on DATAVERSITY.
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Author: Bryan Eckle
The recent rise of GenAI has sparked numerous discussions across industries, with many predicting revolutionary changes across a broad range of professional landscapes. While the processes data professionals use and the volume of work they can sustain will change because of GenAI, it will not fundamentally change their roles. Instead, it will enhance their abilities, […]
The post Why GenAI Won’t Change the Role of Data Professionals appeared first on DATAVERSITY.
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Author: Itamar Ben Hemo
As businesses increasingly rely on data-driven decision-making, the volume and complexity of data within enterprises have grown exponentially. However, processing this data and deriving actionable insights remains challenging due to the reliance on human analysts. The explosion in interest surrounding text-to-SQL (T2SQL) solutions and the capabilities of large language models (LLMs) like ChatGPT have presented […]
The post How to Make Generative AI Work for Natural Language Queries appeared first on DATAVERSITY.
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Author: David Mariani
Imagine a world where AI can accurately predict earthquakes, giving us precious time to save lives. Yet, the same technology struggles to understand essential voice commands through your home assistant during a noisy family dinner. This striking dichotomy between the potential of cutting-edge AI research and its often underwhelming real-world applications underscores a significant yet […]
The post The AI Chasm: Bridging the Divide Between Research and Real-World Applications appeared first on DATAVERSITY.
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Author: Srinivasa Rao Bogireddy
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Author: John Wills
Have you noticed the way that businesses grow is changing? We are moving away from standard sales-driven models to more innovative product-led tactics. And what is fueling this shift? You guessed it: AI and predictive analytics. These tools are not just fancy jargon; they are transforming how we understand customer needs, customize experiences, and upgrade […]
The post From Instincts to Data-Driven Success: The AI-Powered Path to Product-Led Growth appeared first on DATAVERSITY.
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Author: Lohith Kumar Paripati
How will data visualization evolve in the era of AI/ML? While AI is rapidly evolving, it is ironic that business users are still using “dumb” dashboards. The challenge is to move beyond these unintelligent dashboards to a genuinely transformative visual analytics solution that harnesses the power of AI/ML. While some vendors offer a ChatGPT-like querying […]
The post Data Visualization in the Era of AI/ML appeared first on DATAVERSITY.
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Author: Chaitanya Indukuri
Generative AI (GenAI), specifically as it pertains to the public availability of large language models (LLMs), is a relatively new business tool, so it’s understandable that some might be skeptical of a technology that can generate professional documents or organize data instantly across multiple repositories. On the one hand, AI-powered data preparation sounds too good to be […]
The post AI-Powered Data Preparation: The Key to Unlocking Powerful AI Use Cases appeared first on DATAVERSITY.
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Author: Jesse Todd
Recognizing the value of threat modeling – a process that helps identify potential risks and threats to a business’s applications, systems, and other resources – is easy enough. By providing comprehensive insight into how cyberattacks might pan out before they occur, threat modeling helps organizations prepare proactively and reduce the risk of experiencing a successful […]
The post Putting Threat Modeling into Practice: A Guide for Business Leaders appeared first on DATAVERSITY.
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Author: Scott Wheeler and Jason Nelson
Artificial Intelligence (AI) has earned a reputation as a silver bullet solution to a myriad of modern business challenges across industries. From improving diagnostic care to revolutionizing the customer experience, many industries and organizations have experienced the true transformational power of AI. However, that’s not the case for the masses. Organizations that view AI as […]
The post The Trouble with AI and Identity appeared first on DATAVERSITY.
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Author: Jackson Shaw
