In the evolving world of business, the emergence of new technologies is aiding organizations to make agile and accurate decisions. Real-time analytics – which involves collecting and analyzing data as it happens – is one such technology that is changing the business landscape. With superfast identification of trends and patterns, businesses can leverage real-time analytics […]
A Tale of Two Technologies: How AI and AR Tech Are Changing Our World
We’re in the midst of the “fourth wave” of artificial intelligence (AI), an era in which AI is able to sense and respond to the world around it, interacting in a productive way with people and many types of hardware and software. Thanks to deep learning advancements, AI applications can outperform humans when executing various […]
Types of Machine Learning and Their Applications
Computers have become so ubiquitous that nearly every aspect of our lives revolves around their use, yet the machines haven’t lost their ability to amaze us. The latest jaw-dropping technology is the ability of computers to teach themselves new skills by analyzing huge amounts of data. The many types of machine learning promise to make […]
Why AI Forces Data Management to Up Its Game
The Information Age has flooded the modern enterprise with data. Demand for enterprise storage capacity will only increase in the years ahead. By the end of this decade, new enterprise storage capacity shipments are forecast to be 15 ZB per year, with the active installed base exceeding 45 ZB. Where Is This Growth Coming From? Business and […]
Managing Risk with Frictionless AI
Artificial intelligence (AI) programs have existed longer than many people have been alive, with the first successful applications implemented in the 1950s. The 2020s promise greater AI potential that more businesspeople can use. Although modern AI brings powerful, accurate, and easier-to-use tools, organizations struggle to get the most value in their AI investments and achieve frictionless AI. To understand […]
DAS Webinar: Artificial Intelligence and Machine Learning – Building the Right Architectural Foundation
Download the slides here>> About the Webinar Artificial intelligence (AI) and machine learning (ML) are increasing in popularity as more organizations are looking to become more data-driven. To support strong AI/ML models and algorithms, accurate and timely data is needed, supported by a strong Data Architecture. Join this webinar to understand how to create […]
The Growing Impact of AI on Data Science in 2023
While AI’s ubiquity is becoming increasingly evident through everyday tools like chatbots, smart cameras, and smart content generation, there’s an expansive universe of less recognized but highly potent advancements poised to redefine how data scientists interact with and leverage the burgeoning volume and complexity of datasets. Emerging AI trends such as natural language processing, reinforcement learning, […]
What Is GitOps and How Can It Support Machine Learning Operations?
GitOps is a way of implementing continuous delivery for cloud native applications. It is based on the idea of using Git as a single source of truth for declarative infrastructure and applications. In GitOps, the desired state of the infrastructure and applications is stored in version control, and an automated process is used to ensure […]
AI Chatbots Revolutionize Depression Management and Mental Health Support
In this digital era, the emergence of AI has opened up avenues for a remarkable companion in combatting mental health issues such as depression. Ready yourself as we investigate how AI chatbots are rewriting the rules of mental health care and providing new hope and advanced strategies for managing depression. One of the most advantageous […]
Domain-Specific AI Models Render Conversational AI More Effective
According to Gartner, 80% of executives believe organizations can apply AI to any business decision. However, an AI-based decision is only as effective as the training data on which the AI model is built. The most effective, advanced solutions focus on domain-specific AI and ensure training data used in AI models is highly accurate and reliable. […]