Why Data Governance Still Matters in the Age of AI
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Author: Christine Haskell
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Author: Christine Haskell
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Author: Gopi Maren
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Author: Steve Hoberman
As agentic AI and autonomous systems transform the enterprise landscape, organizations face a new imperative: Fundamentally reimagining data architecture is no longer optional; it’s required for AI success. Many enterprises are coming to the realization that traditional data architectures, which are built for structured data and deterministic workloads, are ill-equipped to support agentic AI’s demands […]
The post Reimagining Data Architecture for Agentic AI appeared first on DATAVERSITY.
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Author: Tami Fertig
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Author: Srinivasa Bogireddy
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Author: Ben Hunter III
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Author: Christine Haskell
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Author: Randall Gordon
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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
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Author: Randall Gordon
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
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
As artificial intelligence (AI) continues to advance, the form factor of generative AI is evolving rapidly. The concept of “form factor” encompasses the systems, interfaces, and user experiences that allow us to interact with AI. It’s what bridges the gap between complex machine learning models and practical, everyday use cases. Today, the most familiar form […]
The post The future of generative AI’s form factor appeared first on LightsOnData.
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Author: George Firican
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Author: William A. Tanenbaum
In the rapidly changing world of financial technology (fintech), fraud is a developing area seething with vigor. Digital banking and online financial services are booming every day, bringing with them new techniques for thieves to ply their trade – not ones that can be easily dismissed. Fintech firms must now relentlessly deploy data and artificial intelligence […]
The post How Data Is Used in Fraud Detection Techniques in Fintech Business appeared first on DATAVERSITY.
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Author: Harsh Daiya
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Author: Sarah Kaminski
Artificial intelligence (AI) has become a cornerstone of modern technology, powering innovations from personalized recommendations to self-driving cars. Traditionally, AI development was limited to tech giants and specialized experts.
However, the concept of democratized AI aims to broaden access, making it possible for a wider audience to develop and use AI applications. In this post, we’ll explore the pivotal role data plays in democratizing AI and how Actian’s cutting-edge solutions are enabling this shift.
What is Democratized AI?
Democratized AI is all about making AI tools and technologies accessible to a broad range of users—whether they’re analysts at small businesses, individual developers, or even those without technical backgrounds. It’s about breaking down the barriers to AI development and enabling more people to incorporate AI into their projects and business operations to transform ideas into actionable solutions, accelerate innovation, and deliver desired business outcomes faster. Actian is a key player in this movement, offering tools that simplify data management and integration for AI applications.
The Role of Data in AI Democratization
Data is essential to AI. It trains AI models and informs their predictions and decisions. When it comes to democratized AI, data serves several critical functions, including these four:
Actian’s DataConnect and Actian Data Platform are central to these processes, providing powerful, easy-to-use tools for data integration, management, and analysis.
5 Key Components of Data-Driven, Democratized AI Applications
Actian’s Role in Democratizing AI
Actian’s products play a crucial role in democratizing AI by addressing some of the most challenging aspects of AI development, including these four:
3 Examples of Democratized AI Applications Powered by Actian
Understanding Challenges and Considerations
While democratized AI offers significant potential, it also presents four primary challenges:
Future Outlook: 5 Emerging Trends
The future of democratized AI is bright, with several key trends on the horizon:
Actian is well-positioned to support these trends with ongoing advancements in its data management and analytics solutions to meet the evolving needs of AI applications.
Empowering Innovation With Accessible AI
Democratized AI, driven by accessible data and tools, has the potential to revolutionize our interaction with technology. By making AI accessible to a diverse group of creators, we unlock new possibilities for innovation.
Actian’s suite of products, including DataConnect and the Actian Data Platform, plays a crucial role in this democratization by simplifying the essential steps of data integration, management, and analysis in the AI development process. These products also ensure data is properly prepped for AI.
As we continue to democratize AI, it’s essential to prioritize responsible development practices, ensuring that AI systems are fair, transparent, and beneficial to society. With Actian’s powerful, secure, and user-friendly tools, businesses and developers are well-equipped to confidently explore the exciting possibilities of democratized AI, transforming data into actionable insights and innovative AI-driven solutions.
The post Using Data to Build Democratized AI Applications: The Actian Approach appeared first on Actian.
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Author: Steven B. Becker
The cost of complacency is becoming crystal clear in the small and medium-sized business (SMB) space. There’s little room for those who rest on their laurels, especially when they make up over 95% of businesses globally emerging all the time. Amid fierce and crowded competition, innovation increasingly sets apart the high performers from those struggling to stand their […]
The post The Data Difference: How SMBs Are Getting Ahead of the Competition appeared first on DATAVERSITY.
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Author: Claire Gribbin
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Author: Christine Haskell
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Author: Robert S. Seiner
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Author: Steve Hoberman
Companies are investing heavily in AI projects as they see huge potential in generative AI. Consultancies have predicted opportunities to reduce costs and improve revenues through deploying generative AI – for example, McKinsey predicts that generative AI could add $2.6 to $4.4 trillion to global productivity. Yet at the same time, AI and analytics projects have historically […]
The post Streamlining Your Data Needs for Generative AI appeared first on DATAVERSITY.
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Author: Dom Couldwell
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Author: Myles Suer