social media

Social Media Week, a week-long global digital conference that connects leaders across industries to “re-imagining human connectivity”- is scheduled to be organized in Mumbai from September 12 to 16, 2016.

The driver for the Global theme for 2016 is the acceptance of changing technology and communications – ‘The Invisible Hand’: Hidden Forces of Technology (and how we can Harness it for Good). The international conference, SMW - Mumbai is organised and hosted by R SQUARE Consulting, an integrated marketing services agency.

The platform is known for telling success stories of experts who have embraced technology to their benefit. One of the eminent speakers, Prahlad Kakar, Advertising Film Director, for Genesis Film Production, said, “SMW, an international platform where years of experience can be expressed via words to the youth. Social media is a tool raised by evolving technology that can be used to tell stories better.”


Several other eminent speakers including Sean Gardner, Forbes no 1 social media power influencer; Vivek Nayer, Chief Marketing Officer of Auto Division, Mahindra & Mahindra; Satya Raghavan, Head of Entertainment, YouTube India and Gautam Bhimani — presenter/commentator, STAR Sports, among others will share their expertise and knowledge at the Social Media Week.

“The Invisible Hand represents the intangible, under-valued processes driving our technology, and ultimately, our decisions, forward. As we become more efficient, dynamic, and diverse human-beings, we have the responsibility to understand the present and future potential of these hidden forces all around us,” said Toby Daniels, Founder and Executive Director, Social Media Week

Four attributes of “The Invisible Hand”are as follows:

Smart devices: Including mobile phones, connected devices and networks including Bluetooth, NFC, WiFi, 4G, etc., that can operate to some extent interactively and autonomously

Networked connectivity:
The means by which these devices and networks are able to connect to each other through routers, switches and gateways

Data: Including the capture, analysis, curation, search, sharing, storage, transfer, and visualization of information

Machine learning: The study and the construction of algorithms that can learn from and make predictions on data