Accelerating the Discovery of Insights from Data

Speaker:  Laura M Haas – San Jose, CA, United States
Topic(s):  Information Systems, Search, Information Retrieval, Database Systems, Data Mining, Data Science


Today, businesses and scientists alike struggle to get to the value in their data. Their challenges include finding and gaining access to the data they need, “wrangling” the data into a form they can use, and setting up the systems and software to be used – all before even tackling the analysis.  With no coordination, multiple groups may re-do the heavy lifting to ready the data for use, or struggle to figure out what data is already available.  Further, the skills required to get from raw data to insight span a broad range from systems to data management, optimization, statistics, algorithms, story-telling and visualization.  Rarely can you find such multi-disciplinary expertise in one team – it is typically scattered across multiple business units or departments.
The IBM Research Accelerated Discovery Lab is a unique, collaborative environment specifically designed to facilitate complex analytic projects by tackling these challenges. One of the key elements of the Lab is the notion of a data lake, accessed through an easy-to-use, collaborative tool called LabBook, which, together with new practices such as datastorming, helps bridge the gaps between experts from different disciplines.  We will highlight some successful applications of these technologies, from diverse fields such as medical research, food safety, social media analytics and predictive equipment maintenance.

About this Lecture

Number of Slides:  22
Duration:  60 minutes
Languages Available:  English
Last Updated: 

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