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SMAC

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The document discusses SMAC (Social, Mobile, Analytics, and Cloud) technologies and how they are driving enterprise innovation. It states that the four technologies work together in an ecosystem, with each technology enabling the others. This allows enterprises to leverage the cloud to store and analyze huge amounts of customer data generated over mobile devices and social media in order to gain business advantages. It also discusses trends in SMAC, areas of interest, and examples of big data analytics.

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SMAC (Social, Mobile,Analytics and Cloud) Name: Anusha P S E-mail: anusha.ps@iiitb.org Twitter Id: @AnushaPS University: International Institute of InformationTechnology Bangalore (IIITB) Year/Semester: Integrated MTech 3rd year /6th semester Branch: InformationTechnology
Introduction • Social – People now use social media for practically everything – advice on what to buy, where to go, what to do, etc.Therefore, a social media strategy has become a must for all enterprises. • Mobile – Mobile technologies have changed the way people communicate, shop, work, and so on.Thus, enterprises must also ensure that their applications are mobile ready. • Analytics –The huge amount of available data can be analyzed to understand how, when and where people consume certain goods and services. Enterprises can tap this as an unbeatable competitive advantage. • Cloud –The immense power of cloud computing fosters innovation and increases productivity. • Thus, these four technologies (collectively known as SMAC) currently drive enterprise innovation.
The SMAC stack • The components of SMAC work together like an ecosystem, where each technology drives the others to maximize its effect. • The combined effect is many-fold as compared to the individual effect. • Therefore, SMAC enables enterprises leverage the cloud for storing huge volumes of multi-structured customer data, generated over mobile devices and social media and analyze these data sets for business advantage by enhancing customer experience.
Trends • People will look for anytime, anywhere, any-device convenience in the goods and services they consume. • IT departments will not only be processing the huge amounts of data but also will become capable of learning from it and making intelligent decisions. • By 2017, about 10% of the computers will be learning rather than only processing. • SMAC will become sole formula for business success. Social, Mobile, Analytics and Cloud technologies form one integrated stack, where each function enables another to maximize their effect. • Through this new wave, IT will become more integrated into business operations than ever before.
Interest Areas • The idea of predicting behavior or identifying relationships/patterns greatly fascinates me. Correctly analyzing the immense data available around us is an exciting and challenging task. • The social media is growing extensively reaching every part of the globe and hence this is exploited by the enterprises to reach its customers and increase the target market, producing a plethora of structured to unstructured data. • I would like to work on enabling technologies to learn from the immense data available. I’m extremely interested in machine learning through big data analytics.
Big Data Analytics • It is widely used in: • retail enterprises - to anticipate customer needs and preferences, thereby enhancing shopping experiences. For example, e-commerce website like myntra, flipkart give suggestions on what to buy based on your previous selections or purchases. • healthcare - to decode DNA strings to find new cures and also to understand and predict diseases patterns. For example, combining medical records with social media analytics enables us to predict diseases outbreaks by listening to what people say – “In bed with a fever ” • sports - to track performance of players and give feedback on how to improve • and even to predict and hence prevent criminal or terrorist activities. • Big data analytics has become an integral part of every organization’s strategy to capture the market and enhance user experience. It is an extremely challenging area with a large scope for innovation.
References • Evans, Nicholas. 'SMAC AndThe Evolution Of IT'. Computerworld. N.p., 2015.Web. 17 Feb. 2015. • kpmg.com,. 'The SMAC Code - Embracing NewTechnologies For Future Business'. N.p., 2015.Web. 17 Feb. 2015. • Marr, Bernard, and Bernard Marr. 'The AwesomeWays Big Data Is UsedTodayTo ChangeOurWorld'. LinkedIn Pulse. N.p., 2013.Web. 17 Feb. 2015. ThankYou

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SMAC

  • 1. SMAC (Social, Mobile,Analytics and Cloud) Name: Anusha P S E-mail: anusha.ps@iiitb.org Twitter Id: @AnushaPS University: International Institute of InformationTechnology Bangalore (IIITB) Year/Semester: Integrated MTech 3rd year /6th semester Branch: InformationTechnology
  • 2. Introduction • Social – People now use social media for practically everything – advice on what to buy, where to go, what to do, etc.Therefore, a social media strategy has become a must for all enterprises. • Mobile – Mobile technologies have changed the way people communicate, shop, work, and so on.Thus, enterprises must also ensure that their applications are mobile ready. • Analytics –The huge amount of available data can be analyzed to understand how, when and where people consume certain goods and services. Enterprises can tap this as an unbeatable competitive advantage. • Cloud –The immense power of cloud computing fosters innovation and increases productivity. • Thus, these four technologies (collectively known as SMAC) currently drive enterprise innovation.
  • 3. The SMAC stack • The components of SMAC work together like an ecosystem, where each technology drives the others to maximize its effect. • The combined effect is many-fold as compared to the individual effect. • Therefore, SMAC enables enterprises leverage the cloud for storing huge volumes of multi-structured customer data, generated over mobile devices and social media and analyze these data sets for business advantage by enhancing customer experience.
  • 4. Trends • People will look for anytime, anywhere, any-device convenience in the goods and services they consume. • IT departments will not only be processing the huge amounts of data but also will become capable of learning from it and making intelligent decisions. • By 2017, about 10% of the computers will be learning rather than only processing. • SMAC will become sole formula for business success. Social, Mobile, Analytics and Cloud technologies form one integrated stack, where each function enables another to maximize their effect. • Through this new wave, IT will become more integrated into business operations than ever before.
  • 5. Interest Areas • The idea of predicting behavior or identifying relationships/patterns greatly fascinates me. Correctly analyzing the immense data available around us is an exciting and challenging task. • The social media is growing extensively reaching every part of the globe and hence this is exploited by the enterprises to reach its customers and increase the target market, producing a plethora of structured to unstructured data. • I would like to work on enabling technologies to learn from the immense data available. I’m extremely interested in machine learning through big data analytics.
  • 6. Big Data Analytics • It is widely used in: • retail enterprises - to anticipate customer needs and preferences, thereby enhancing shopping experiences. For example, e-commerce website like myntra, flipkart give suggestions on what to buy based on your previous selections or purchases. • healthcare - to decode DNA strings to find new cures and also to understand and predict diseases patterns. For example, combining medical records with social media analytics enables us to predict diseases outbreaks by listening to what people say – “In bed with a fever ” • sports - to track performance of players and give feedback on how to improve • and even to predict and hence prevent criminal or terrorist activities. • Big data analytics has become an integral part of every organization’s strategy to capture the market and enhance user experience. It is an extremely challenging area with a large scope for innovation.
  • 7. References • Evans, Nicholas. 'SMAC AndThe Evolution Of IT'. Computerworld. N.p., 2015.Web. 17 Feb. 2015. • kpmg.com,. 'The SMAC Code - Embracing NewTechnologies For Future Business'. N.p., 2015.Web. 17 Feb. 2015. • Marr, Bernard, and Bernard Marr. 'The AwesomeWays Big Data Is UsedTodayTo ChangeOurWorld'. LinkedIn Pulse. N.p., 2013.Web. 17 Feb. 2015. ThankYou