Traditional AI — often defined by generative capabilities such as content creation — has matured, solving the “content problem” through … More

Data science methods, tools and technologies have evolved in recent times yielding benefits in productivity in analytical model development. Skill … More

Deep learning paradigms are about teaching computers what to do based on how humans learn (i.e. by example). The popularity … More

We are in the midst of a profound AI-driven transformation of work. Generative AI is reshaping how tasks are performed, … More

Analytics and AI solution providers are rapidly pivoting toward agentic AI, positioning autonomous agents as a breakthrough for productivity and … More

Speed and depth as core values in ‘ways of working’ in-themselves seem mutually exclusive. Collating and considering ‘all the facts’ … More

With increasing cost focus in organizations, ‘full stack’ data skills are highly sought after. A full stack professional is expected … More

Enterprise Performance Management, BI reporting & Analytics – all these disciplines use data to improve decision making of business leaders. … More

There is a deluge of data being generated in most companies, from business operations, products and machines deployed by the … More

Softer aspects beyond tools, techniques and methodologies determine success in analytics projects. The following are critical. Simplicity: Articulate value, process … More