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Augmented Intelligence and Artificial Intelligence (AI) have both enjoyed hype, research, and innovation in the last few years. While Artificial and augmented intelligence share an objective (enhancing everyday operations through the simulation of cognitive behavior), the way they achieve it differs. Augmented intelligence
Customer relationship management (CRM) helps businesses understand their customers, improve customer relations and increase brand loyalty. NLP applications allow companies to prepare CRM strategies that handle data in bulk, improving customer experience. Natural Language Processing (NLP) is a branch of Artificial Intelligence (AI),
Data management uses a combination of functions that collectively ensures data in corporate systems is accurate, available, and accessible. Explore the best ways to successful manage your data.
NLP is interdisciplinary and draws from computer science and computational linguistics and allows us to build machines that process human language and make useful decisions based on this understanding. Powering AI to read and hear human language, learn how NLP can become a valuable
We take a look at how AI can play a pivotal role in equitable education by personalizing the learning journey, improving accessibility, providing a 360 degree overview of student progress and fostering communication between teacher and students.
Personalized learning is a learner-centric training approach that tailors curriculum and instruction modules to a participant’s individual needs and interests.
We explore the growing impact of AI in finance as data becomes available and consumers demand easy ways to take control of their money.
We democratize AI by training engineers from around the world and connecting them to our clients' digital transformation projects.
AI fuels the rise of gig economy shaping the future of work through streamlined recruitment, automation and more.
From upskilling to recruiting, there are many things companies can do to close the AI talent gap and leverage AI.
With many advancements in the field of AI, we compiled our list of the top 10 AI trends to keep an eye on in 2022.
Ethical AI has come up as an important topic. We examine AI ethics, trust in AI, current examples of AI ethics, and more.
We explore how explainable AI interprets ML/AI model outputs and enables engineers to maintain fairness, transparency and trust, building accountability for AI systems.
We explore the growing relevance of AI in education and how organizations and educational institutions have adopted AI technology to thrive in the post pandemic world.
A focus on hyper automation, empowering the non-technical workforce and a shortage of developers has increased the adoption of low code/no code (LCNC) platforms. LCNC is a visual software development platform that simplifies software development with a simple drag and drop approach.
Employee turnover rates have increased significantly over the past year. In our latest insights piece, we explore how AI transforms employee retention, productivity, training and recruitment.