Watch the complete session hereA global thought leader and CXO in the field of smart cities, telecom, and information analytics, Sumit Datta Chowdhury is the CEO of Gaia Smart Cities.Chowdhury is a business leader, entrepreneur and a best-selling management author, having led large, hyper-growth, multinational telecom and consulting companies in US, Australia and India.As CEO of Gaia, Chowdhury has worked on technology based transformation of companies and is now focused on sustainable solutions for Smart Cities and Internet of Things. He is also the Program Director of the\u00a0Swachh Bharat Mission.Chowdhury takes an interesting stance on big data, opining that analytics needs to evolve into something he calls \u2018fast data\u2019 and \u2018smart data\u2019. He emphasizes on the scaling of big data infrastructure, and how the natural evolution of big data is \u2018smart data\u2019 at CIO Year Ahead 2017.\u201cWe\u2019re going to be talking about the convergence of data. It\u2019s a slightly different concept from the big data that we\u2019ve so far known. Big data is all about curiosity \u2013 to find the connections between seemingly unconnected factors,\u201d says Chowdhury.Do analytics at the edge \u2013 that\u2019s where you find the beauty in the dataChowdhury coins a witty term for the manner in which big data is being used nowadays \u2013 he calls it \u201cHanuman engineering\u201d. It\u2019s when you don\u2019t know what you exactly need, so you bring in all the data you could want.Smart data, on the other hand, is big data turned into actionable data. It\u2019s available in real time for a variety of business outcomes, whether it\u2019s in industrial applications, data-driven marketing, or process optimization.Read more:\u00a0Are your marketing pros ready to handle big data?Citing examples of applications where big data is not used smartly enough, he points at vehicle and asset tracking. \u201cOnce the vehicle has been dispatched, you do not need to keep track of all the information it generates,\u201d he says.Another example is utility metering \u2013 99.9 percent of the time you don\u2019t all the data that\u2019s generated every 15 minutes. You can install a single machine costing less than 1000 rupees, which generates precisely the data you need. Now that is smart data.Addressing another concern plaguing CIOs, Chowdhury points out at where one embeds the intelligence. \u201cDo you embed in the device, the gateway, cloud app, or the app itself?\u201d asks Chowdhury.His take is that the answer lies in the manner in which you design \u2013 good designs allow you to capture the data only at the edges.\u201cYou also need to decide if you want to stream the data or store the data. You also need to figure out if you need to throw away that data, and just store the intelligence you derive,\u201d he says.You need to look at real time computing, distributes computing, and fault-tolerant computing.Speaking about fractal mathematics \u2013 an area Chowdhury believes is elementary when it comes to addressing the characteristics of data, he says, \u201cThe characteristics of these help you predict the nature of outcomes. The more iterations you do, the more replications you find,\u201d he says.Chowdhury shares his precious insight when it comes to recommending where the analytics needs to be done. \u201cDo analytics at the edge \u2013 that\u2019s where you find the beauty in the data. That\u2019s where you\u2019ll find the really interesting data,\u201d he says.