Explore Research Studies
Affective Computing: In-Depth Guide to Emotion AI
Affective computing systems automatically identify emotions. These tools are used in several business cases, such as marketing, customer service, and human resources, to increase customer satisfaction and ensure safety. For leading tools in emotion detection, read Emotion AI Tools Backed by Real-World Testing.
Top 44 Process Mining Use Cases & Applications
Latest process mining trends and stats show that 93% of business leaders aim to leverage a process intelligence software like process mining since these tools enabled process improvement by 23%, digital transformation by 25% and automation by 25%.Process mining offers a variety of use cases beyond these broad application.
22 AutoML Case Studies: Applications and Results
Though there is a lot of buzz around autoML, we haven’t found a good compilation of case studies. So we built our comprehensive list of automated machine learning case studies so you can see how autoML could be used in your function/industry.
QC Companies: Guide Based on 4 Ecosystem Maps
Quantum computing, which has wide-ranging applications in optimization, research and cryptography, is driven by these organizations: Quantum hardware is an emerging computing technology which relies on complex hardware. As in the early days of personal computing, there are companies specialized on hardware, software and end-to-end solutions.
Quantum Annealing: Practical Quantum Computing
Quantum annealing is a promising quantum technology for companies that have urgent optimization problems which take too long for traditional computers to solve. It can be used to solve optimization problems more effectively than traditional computers. However, it is still mostly used in academia and more R&D is required to build commercial quantum annealers.
Top Digital Transformation Frameworks
Digital transformation is an emerging trend, but some companies may not succeed in it. To achieve success, leveraging a digital transformation framework that serves as a roadmap for your organization can be beneficial.
7 AI Transformation Strategies
AI transformation is the next phase of digital transformation. Businesses are willing to invest in AI technologies to stay ahead of competitors. Digital transformation is a prerequisite for companies to initiate their AI transformation, as digital data is essential for AI training, and digital processes are typically required to deploy AI solutions.
Graph Analytics: Top 10 Use Cases & Tools
Analytics is generally used to gain insights from numeric data. However, graph analytics analyzes relationships between entities rather than numeric data. Using graph algorithms and relationships in graph databases, graph analytics solutions uncover insights in fields like social network analysis, fraud detection, supply chain, and search engine optimization.
Demand Forecasting in the Age of AI & Machine Learning
Businesses face different inventory challenges when they are dealing with supply chains. Addressing supply chain issues is paramount. Demand forecasting enables businesses to reduce supply chain costs and achieve significant improvements in financial planning, capacity planning, profit margins, and risk assessment decisions.
Autonomous Things: Use Cases with Examples
Autonomous things (often shortened to AuT) are physical devices, such as vehicles, robots, and drones, that use onboard sensors, connectivity, and AI to perceive the physical world and autonomously complete tasks with little or no human direction Explore what autonomous things are and how they operate, their most common use cases with real-life examples, and