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Computer Applications and Systems - Workshop V
This document provides an overview of emerging technologies and their impact on businesses. It discusses how businesses are using new approaches like online collaborative communities and technologies to solve problems. It also covers topics like Enterprise 2.0, cloud computing, big data, analytics, social networking, collaboration tools, search engines, platforms, open source, e-learning and MOOCs. The document suggests that connectivity and data are driving new applications and experiences for consumers, and technologies are becoming the drivers of business success by enabling new ways of working and finding insights.
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Computer Applications and Systems - Workshop V
- 1. BIS 220 INTRODUCTIONTO COMPUTER APPLICATIONS AND SYSTEMS WORKSHOP V, RAJI GOGULAPATI
- 2. Summary Emerging phenomenon in businesses and technologies,effects on work Workshop IV review
- 3. Story of howbusinesses use technologies with new approaches to solve old problems. Groups of online collaborative communities made all the difference ! Generating, capturing and sharing knowledge Organizations can use technology to bring brains together effectively Enterprise 2.0
- 6. Enterprise 2.0 & Nextgeneration enterprise landscape Role of IS/ IT in the enterprise world Online customer evolution
- 7. Path to Progress Technologyis the “driver” not just the “enabler” of business success and opportunity When people adopt technology, they merely do old things in new ways. When people internalize technologies, they find new things to do.
- 8. Current Drivers Connectivity ofpeople and things is rapidly expanding to being everywhere and anytime. An ocean of information is getting collected, clever algorithms are sifting through it and finding insights These large datasets are enabling a new set of applications that elevate the consumer experience at every touch point New products, services and value is being created and delivered rapidly over platforms What you sell is no longer perceived as just a product or service by the consumer. It is about something at the center of the “total customer experience”.
- 11. IN THE NEWS KPCB,cnnmoney
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- 13. Top 10 Trends(Gartner)
- 14. Cloud computing Open Source Enterprise2.0 BI, Big Data Social networking benefits and challenges Apps World E-learning Platforms – Amazon, Apple, Facebook, Google What is next?
- 15. What is cloud computingabout? Relevance to business operations Players Technology enablers and architectural elements Cloud Computing
- 16. Shift from supply pushto demand pull of data, information and services Massive server farms made up of commodity PC’s Usage pattern with existing IT resources SOA is key to cloud computing Source: Enterprise cloud computing by Andy Mulholland, Jon Pyke and Peter Fingar
- 17. http://www.csrc.nist.gov/groups/SNS/cloud- computing/index.html NIST Cloud ComputingFramework Access the presentation at
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- 20. Applications in theCloud Salesforce.com growth over the years Virtual, collaborative learning, teaching and research environments in the cloud Mobile enterprise in the cloud
- 22. Social Network sites Professionalnetwork sites Social News, book Marking sites Forum sites Business directory sites Photo and video sharing Get connected Mobile, Portable computing, mobile web browsing, touch screen Embed computing into products, mobile commerce connected Reality redefined, Life streaming Cyborg, BYOD Always on, always connected, plug yourself into cloud
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- 25. Describe Big Data Incomplete Fragmented Notprecise Dynamic External Unmanageable Democratic ???
- 26. Data Science Ultimate Goal– Improve Decision making principles Frameworks Data analytic thinking •Extract patterns •Mining for useful knowledge •Models •Process •Stages •Assess how data can improve performance •Understand data science •See data oriented competitive threats •Question
- 27. Big Data Advantage– Analytics and dec management Decision making Data deluge Techniques Solutions Rewards
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- 30. Source: Forbes.com, CloudPredictive Analytics most used to gain customer insight, 10/24/2013 Data types in a Big Data context
- 31. Big Data UseCases – Financial Sector Source – HP Sponsored white paper, Case for Big Data in the Financial Services sector, IDC Financial Insights opinion 2012
- 32. Big Data UseCases – Government Source – IBM, “Accelerate Analytics and harness Big data within government”
- 33. Big Data Capabilities– health care Source: McKinsey Report titled Big Data Revolution in health care, exhibit 9
- 34. Big Data Analyticscapabilities – travel and transportation Source: IBM, Big Data and Analytics in Travel and Transportation white paper, figure 4 Maintenance and Engineering – asset management data, Spec sheets, product data Capacity and Pricing optimization
- 35. Analytics - Explained Source:Analytics 3.0 by Thomas H Davenport, HBR, Dec 2013 Analytics 1.0 Era of business intelligence, go beyond intuition, fact based comprehension for decision making. Era of enterprise data warehouse. Dominant for about 50 years. Analytics 2.0 From about 2005 onwards, Internet based social network firms – Google, eBay, LinkedIn..Not only internal, externally sourced, sensors, public data initiatives, multi media recordings. Innovative technologies NoSQL, Hadoop, machine learning. Computational and analytical skills Analytics 3.0 Data enriched offerings for every industry. Driven by analytics, rooted in enormous amounts of data. Co-existence of traditional and new.
- 36. Ability to handlenew varieties of data – voice, text, log files, images, video on a large scale Sensors and operational data gathering devices in motion to optimize Cost savings of storage – data base to database appliance to a Hadoop cluster Big companies always wrestled with the data volume issues. Bigness is not new! Variety is new! What is different from the past? Source: Big Data in Big companies, May 2013:
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- 38. Search Engines – Google,Yahoo, Bing Source: Mitra, K. (2010). What Next In Search?. Business Today, 19(9), 134. User intent Real time Localized • Information Retrieval • Match intent with search • Platforms such as Twitter • Search engines update databases searching thru tweets • Mobile searches • Walk into a mall and search for sales
- 39. Collaboration Tools For learning andsharing basics on subject matter •Blogs •Youtube videos •Wikis Office Tools •Open source •Google docs •MS word, powerpoint •Presentation tools such as Prezi •Slideshare Web Tools for Project management •Project meeting agenda •Fixing meetings •Follow up
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- 41. Corporate Portals Re-imagine Re-imagine knowledgeServices and functionality in a framework e-document management systems, exchanges for content, database management systems, data warehouse, communities of practices social communities of interest individual communities of interest Re-imagine organizing around this knowledge exchange Re-imagine innovations, competitiveness with know-how
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- 47. Apps for everything? First,some reflections Procter & Gamble's Oral B smartphone connected toothbrush - expect in the market soon... I thought it was just the human brain and "some things" that needed connections... I will be bold and say - ridiculous! For brushing teeth and eating breakfast, keep it simple... Mar 8, 2014.
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- 49. 1975 1985 19952008 2015 Main Frames Operating Systems Database ERP Apps Data Business Value Shifting to Apps
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- 51. Wearable Tech –Google Glass
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- 53. PLATFORMS APPLE Are they modernmonopolies?
- 54. AMAZON WHAT IT MEANSTO YOU Network Effects
- 55. PLATFORMS GOOGLE What is Google’sbusiness model?
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- 57. PLATFORMS ARE ABOUTSOLUTIONS WITH CONVERGENCE OF TECHNOLOGIES • CLOUD SERVICES ARE THE BACK-END DELIVERY MODEL FOR MOST MOBILE APPLICATIONS • BIG DATA IS THE COLLECTION AND ANALYSIS OF OCEANS OF INFORMATION THAT IS NOW BEING PRODUCED • AND “SOCIAL BUSINESS” REFLECTS THE FACT THAT CUSTOMERS HAVE TAKEN CONTROL OF THE BUYING CYCLE
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- 59. Open Source EcoSystem Open Source communities Open Source users Open Source Products Foundations/ Trusts Traditional Vendors Support, services, consulting, Systems integration Experts, Press, Opinions
- 60. Musings on OpenSource licensing Interactive License Differentiator from Oxford Universities OSS Watch Open Source License Differentiators – It’s complicated!
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- 62. LCEs Shift FocusTo Learning & Learner
- 63. e-sources of knowledgeat the UOP