Journey, Not A Destination

Data Science is a much talked about subject in recent times and the potential of benefits are huge using machine learning and AI in corporate, government and social sectors. There are already many use cases which are being talked about in multiple forums. What is important to note, however, is the criticalilty of data. Can it be small data (a sample) or is big data to be preferred? Data exists but is soiled, unstructured and also uncontextualized. When the right time to start deriving value from data an an organisation or institution? Do we really need Deep Learning and NLP, to qualify as insight suppliers to our business stakeholders?

Then there are other aspects. What kind of talent do we need? How do different roles seamlessly act in a team? How will a better data governance help avoiding ethical issues or privacy breach? How will project management integrate with a researched based life cycle of a data science project? These are critical questions that are not always asked by stakeholders and hence lead to potential failure modes.

DSF International is a non-profit platform with its executive council members coming from world-renowned companies and start-ups across the globe. It’s one of its kind from the point of view of its purpose, activities and connectivity with community. Practitioners of Data Science know the nuances and challenges when it comes to the question of applying Analytics in practice. DSF International provides a platform to its members to discuss and learn from each others’ experiences. This also provides new entrants into the field of Data Science to get a hands-on exposure with the ‘real world’. This ecosystem is conducive for the pragmatic learning and application of this reasonably new dimension in industry.