Through the Looking Glass: What Does Data Quality Mean for Unstructured Data?
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Author: Randall Gordon
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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
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Author: Randall Gordon
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Author: William A. Tanenbaum
Across industries, organizations continue to seek out a range of use cases in which to deploy advanced intelligence. With the development of generative artificial intelligence (GenAI), various industries are leveraging the technology to process and analyze complex data, identify hidden patterns, automate repetitive tasks and generate creative content. The promise of GenAI is transformative, offering […]
The post Lost in Translation: Language Gap Holds Back GenAI in Life Sciences Industries appeared first on DATAVERSITY.
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Author: Sanmugam Aravinthan
Chatbots were among the first apps that testified to the mainstream adoption of AI and inspired further innovations in the conversational space. Now, it’s time to move on from just responding bots to emphatic companions that further reduce the dependency on human intelligence. RAG-enabled chatbots are proactive in responding to and addressing queries in real […]
The post Conversational AI’s Quantum Leap: How RAG Is Enabling Smarter Chatbots appeared first on DATAVERSITY.
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Author: Yash Mehta
In late 2023, significant attention was given to building artificial intelligence (AI) algorithms to predict post-surgery complications, surgical risk models, and recovery pathways for patients with surgical needs. This naturally elevated the appropriate debate of whether using AI in this manner would result in hospitals and providers prioritizing revenue from automation over excellence in patient […]
The post Revolutionizing Healthcare Through Responsible AI Integration appeared first on DATAVERSITY.
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Author: Archie Mayani
In recent months, particularly following the release of ChatGPT, there has been an unprecedented surge in interest surrounding artificial intelligence (AI). This heightened attention spans across a multitude of sectors, including business enterprises, technology companies, venture capital firms, universities, governments, media outlets, and more. As the interest in AI is intensifying, some companies have even […]
The post Demystifying AI: What Is AI and What Is Not AI? appeared first on DATAVERSITY.
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Author: Prashanth Southekal
As a cognitive scientist, I’ve been immersed in AI for more than 30 years – specifically in speech and natural language understanding, as well as machine-based learning and rule-based decision-making. Progress in our field is always uneven, unfolding in fits and starts. Those of us in the AI field have witnessed multiple “AI winters” over the […]
The post How a Neuro-Symbolic AI Approach Can Improve Trust in AI Apps appeared first on DATAVERSITY.
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Author: Jans Aasman
As your data projects evolve, you will face new challenges. For new technology like generative AI, some challenges may just be variations on traditional IT projects like considering availability or distributed computing deployment problems. However, generative AI projects are also going through what Donald Rumsfeld once called the “unknown unknowns” phase, where we are discovering […]
The post Running Generative AI in Production – What Issues Will You Find? appeared first on DATAVERSITY.
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Author: Dom Couldwell
AI and machine learning can be revelatory for organizations inundated with a sea of data and grappling to find ways to generate meaningful insights from it. AI tools help identify patterns and trends within large datasets that are often challenging for humans to discern. These tools can be trained to make predictions based on historical […]
The post How AI Tools Can Help Organizations Maximize Their Enterprise Knowledge appeared first on DATAVERSITY.
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Author: AJ Abdallat
Since the beginning of 2023, generative AI (GenAI) has quickly made a significant impact across an expanding range of industries and applications. In just over a year since its groundbreaking debut, there’s much to celebrate about GenAI – and even more to still uncover and understand. Today, 79% of employees report at least some exposure to AI, […]
The post How to Assess GenAI’s Impact on Your Business appeared first on DATAVERSITY.
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Author: Madhukar Kumar
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Author: Robert S. Seiner