Artificial intelligence for IT Operations (AIOps) is widely defined as the result of big data and artificial intelligence (AI) / machine learning (ML). It’s a framework designed to help CIOs master today’s dynamic IT landscape and answer questions such as: Where to place workloads for optimal performance and cost? How to connect apps to infrastructure […]
Category Archives: Artificial Intelligence
Search and AI-Driven Analytics, Architecting Automated Insights for the Masses
From driverless cars to virtual assistants, AI and machine learning have hit the mainstream. These smart technologies are also poised to make analytics easy and accessible for any business person. SpotIQ AI-driven analytics automatically uncovers answers to questions business people may not have known to ask. Powered by an analytics platform with massive computing power, […]
Debunking Top 5 Myths of Artificial Intelligence (AI) and Machine Learning (ML)
Despite the numbing buzz around artificial intelligence (AI) and machine learning (ML), it’s more than abstract ideas and hypothetical applications. AI and ML are already powering tools that can give your business decision-making processes a massive upgrade. The technology is here, it’s already proving itself in the market, and it’s increasingly being built with business […]
How Artificial Intelligence (AI) and Machine Learning (ML) Improve Software Quality
Testing practices have changed over the last four decades to keep up with technology and fast-paced software development. Today companies are investing more and more in artificial intelligence (AI) and machine learning (ML) to stay ahead. Software development is riddled with challenges and many are already developing AI-based solutions for those problems. This article which […]
AI Based Testing: The Future of Test Automation
In this digital era, organizations are forced to trade off between faster time to market and flawless user experience. In this article, we will discuss: How AI is impacting software testing The current challenges with test automation How AI can help solve these challenges How testers and developers can embrace AI The future of test […]
How To Drive Successful AI Adoption At Your Enterprise
In this playbook, we’ll walk you through how AI and machine learning are fundamentally changing enterprises. We’ll define the promise of these technologies and explain how organizations can solve business challenges that were previously unsolvable. We will also share the lessons we learned along the way in helping organizations build and scale AI capabilities across […]
People.ai Use Case: How AI Drives Revenue Intelligence for Sales Ops Professionals
Sales Operations (Sales Ops) is truly the unsung hero of all successful sales organizations. They operate as the central nervous system organizing and aligning signals between the brain, hands, and the rest of the body. And, if Sales Ops is the nervous system, data is the lifeblood.
The benefits of Becoming Information Driven Using AI and Machine Learning
Software, Data and Algorithms: The currency of Digital Transformation, by 2020: 10% of enterprise applications spending will be for new task-level applications that incorporate software, data and algorithms. 66% of enterprises will implement advanced classification solution to automate access, retention and disposition of unstructured content, making it more useful for analytics. Organizations able to analyze […]
How Machine Learning (ML) and Artificial Intelligence (AI) Drive MSP Success
Change is the one constant in the IT world, and the way companies purchase and consume technology continues to transform and evolve. These changes are forcing both MSP IT vendors and partners to evolve their business models to provide full range of technical services to configure, integrate, operate and secure the range of new hybrid […]
Cheat Sheets and Infographics for AI, Neural Networks, Machine Learning and Big Data
Complete List of Cheat Sheets and Infographics for Artificial intelligence (AI), Neural Networks, Machine Learning, Deep Learning and Big Data.