Emerging topics in technology- Krishnan Viswanath

Introduction

Krishnan Viswanath~20 years of technology experienceManage Data Governance, Reference Data and Data Quality technology for Consumer & Community banking

கற்றதுகைகமண்அளவு, கல்லா ததுஉலாகளவு

Technology – Strategic Advantage

Royal Navy against combined French-Spanish fleetsAdmiral Horatio NelsonUnconventional strategy & strategic advantage

Competitive Advantage

Cost leadership strategy - The goal of cost leadership strategy is to offer products or services at the lowest cost in the industry. Companies such as Walmart succeed with this strategy by featuring low prices on key items on which customers are price-aware, while selling other merchandise at less aggressive discounts. Products are to be created at the lowest cost in the industry.

Differentiation strategy - The goal of differentiation strategy is to provide a variety of products, services, or features to consumers that competitors are not yet offering or are unable to offer. An example is Dell which launched mass-customizations on computers to fit consumers' needs. This allows the company to make its first product to be the star of its sales.

Innovation strategy - The goal of innovation strategy is to leapfrog other market players by the introduction of completely new or notably better products or services. This strategy is typical of technology start-up companies which often intend to "disrupt" the existing marketplace, obsoleting the current market entries with a breakthrough product offering. It is harder for more established companies to pursue this strategy because their product offering has achieved market acceptance. Apple has been a notable example of using this strategy with its introduction of iPod personal music players, and iPad tablets. Many companies invest heavily in their research and development department to achieve such statuses with their innovations or the competition

Operational effectiveness strategy - The goal of operational effectiveness as a strategy is to perform internal business activities better than competitors, making the company easier or more pleasurable to do business with than other market choices. It improves the characteristics of the company while lowering the time it takes to get the products on the market with a great start.

1970's - 80's 1980's 1990's

MP3 Format

Late 90's and early2000's

Early devices – limited memoryPoor user experienceLot of illegal downloads CDs were expensive ($17 - $30)

Competitive Advantage

Low End Disruption and New Market Disruption

Cannibalization

Value Differentiation Strategy

Mobile Apps

Mobile Apps

Mobile devices overtaking PCs as the most common web access device worldwide by end of 2013More market shift towards complex business applications instead of small niche consumer apps

Similar to PC evolution of desktop productivity apps to network enabled enterprise solutions

Apple iOS and Google Android will continue to dominate market share for next few yearsNative Apps will continue to be preferred development platform, however, HTML5/Hybrid will start gaining ground

Big Data - NoSQLNext Generation Databases mostly addressing some of the points: being non-relational, distributed, open-source and horizontal scalable. Key factor over SQL databases is its ability to store and retrieve data across multiple commodity server nodes in parallelThe original intention has been modern web-scale databases. The mass movement began early 2009 and is growing rapidly. However, core technology dates back to 1990’s

New York TimesEtsyEviteLexisNexis

FlockDB Twitter

Big DataBig data is a broad term for data sets so large or complex that traditional data processing applications are inadequate. Challenges include analysis, capture, curation, search, sharing, storage, transfer, visualization, and information privacy.

A 360 degree view of the customer

Internet of Things

Data warehouse optimization

Security Intelligence Extension

Big Data Exploration

Netflix exploited its Big Data capabilities to influence its programming choices.

“House of Cards” is one of the first major test cases of this Big Data-driven creative strategy.

Leverage detailed knowledge of Netflix subscriber viewing preferences

Decision to license a remake of the popular and critically well regarded 1990 BBC miniseries.

Netflix’s data indicated that the same subscribers who loved the original BBC production are likely to embrace series starring Kevin Spacey or directed by David Fincher.

The company committed $100 million for two 13-episode seasons

Big Data Automatically generated by a machine

(e.g. Sensor embedded in an engine) Typically an entirely new source of data

(e.g. Use of the internet) Not designed to be friendly

(e.g. Text streams) May not have much values

Need to focus on the important part

Walmart parking lot

Big Data Stats

Big Data Stats

Big Data Technology

Cloud Computing Cloud computing relies on sharing of resources to achieve coherence and economies of scale, similar to a utility (like the electricity grid) over a network. At the foundation of cloud computing is the broader concept of converged infrastructure and shared services.

Cloud computing, or in simpler shorthand just "the cloud", also focuses on maximizing the effectiveness of the shared resources. Cloud resources are usually not only shared by multiple users but are also dynamically reallocated per demand. This can work for allocating resources to users. For example, a cloud computer facility that serves European users during European business hours with a specific application (e.g., email) may reallocate the same resources to serve North American users during North America's business hours with a different application (e.g., a web server). This approach should maximize the use of computing power thus reducing environmental damage as well since less power, air conditioning, rack space, etc. are required for a variety of functions. With cloud computing, multiple users can access a single server to retrieve and update their data without purchasing licenses for different applications.

IAAS – Infrastructure as Service

RackSpace Google AppEngineAzure Linode GoGrid VPS.NETVoxel RimuHosting

AWS – Amazon Web Services

Actionable Analytics & Visualization While the traditional analytical tools that comprise basic business intelligence (BI) examine historical data, tools for

advanced analytics focus on forecasting future events and behaviors, allowing businesses to conduct what-if analysis to predict the effects of potential changes in business strategies.

Predictive analytics, data mining, big data analytics, and location intelligence are just some of the analytical categories that fall under the heading of advanced analytics. These technologies are widely used in industries including marketing, healthcare, risk management, and economics.

Data Science In general terms, data science is the extraction of knowledge from data. It employs techniques and theories drawn from

many fields within the broad areas of mathematics, statistics, and information technology, including signal processing, probability models, machine learning, statistical learning, computer programming, data engineering, pattern recognition and learning, visualization, predictive analytics, uncertainty modeling, data warehousing, and high performance computing.

Data scientists investigate complex problems through expertise in disciplines within the fields of mathematics, statistics, and computer science. These areas represent great breadth and diversity of knowledge, and a data scientist will most likely be expert in only one or at most two of these areas and merely proficient in the other(s).

http://www.forbes.com/sites/kashmirhill/2012/02/16/how-target-figured-out-a-teen-girl-was-pregnant-before-her-father-did/http://www.nytimes.com/2012/02/19/magazine/shopping-habits.html?pagewanted=all

Actionable Analytics & VisualizationHealthcare Researchers at Case Western Reserve University and colleagues used "big data" analytics to predict if a patient is

suffering from aggressive triple-negative breast cancer, slower-moving cancers or non-cancerous lesions with 95 percent accuracy. The work comes just two months after senior author Anant Madabhushi and another group of researchers showed they can detect differences between persistent and treatable forms of head and neck cancers caused by exposure to human papillomavirus, with 87.5 percent accuracy. In that study, digital images were made from slides of patients' tumors.

Drug Store Retail to help them predict the scope of flu season or allergy season six months in advance so they can more efficiently stock

just the right amount of medication — neither running short nor overstocking and taking up valuable shelf space that could be dedicated to something else.

Farming Farms are leveraging advanced analytics to provide more insight into when to plant, how to optimize crop yields and

when to harvest. Manufacturers are turning to advanced analytics to predict when a machine on the production floor is going to fail so they can perform preventative maintenance before a failure causes expensive unscheduled downtime.

Intelligence Agencies!!

Internet of things The Internet of Things (IoT) is a scenario in which objects, animals or people are provided with unique identifiers and

the ability to transfer data over a network without requiring human-to-human or human-to-computer interaction.

Wearable Technologies Wearable technology is related to both the field of ubiquitous computing and the history and development of wearable

computers. With ubiquitous computing, wearable technology share the vision of interweaving technology into the everyday life, of making technology pervasive and interaction friction less.

Search for sixth sense in TED talk

DemocratizationRaspberry PI

Satellites

Home Automation

Learn Python

Scratch Programming

Lego Controllers

Minecraft

Stream Movies

Stream Audio

What can I do?

Surf the web

Learn to program

Learn Linux

Play Games

Collect Data

Transmit Data

Weather Balloons

Autonomous Systems

Solar Powered

Time lapse capture

Wireless Access Point

Tor Proxy

Drones

Robots

Computing Clusters

Web Servers

Democratization

What is BeagleBone Black? BeagleBone Black is a low-

cost, community-supported development platform for developers and hobbyists. Boot Linux in under 10 seconds and get started on development in less than 5 minutes with just a single USB cable.

HummingBoard – a small and powerful, low-cost ARM computer that ignites the imagination. The HummingBoard allows you to run many open source operating systems – such as Ubuntu, Debian and Arch – as well as Android and XBMC.

Intel and CircuitCo have unveiled their second-generation MinnowBoard. Single-core, 1.46GHz, 64-bit Intel Atom Processor E3815. The $129 version includes a dual-core, 1.33GHz, Intel Atom E3825. Board targets the small and low-cost embedded market and was designed to appeal to both embedded developers and the maker community." The device can be used for "embedded applications or product development

DemocratizationRaspberry PI

Satellites

Home Automation

Learn Python

Scratch Programming

Lego Controllers

Minecraft

Stream Movies

Stream Audio

What can I do with Raspeberry PI?

Surf the web

Learn to program

Learn Linux

Play Games

Collect Data

Transmit Data

Weather Balloons

Autonomous Systems

Solar Powered

Time lapse capture

Wireless Access Point

Tor Proxy

Drones

Robots

Computing Clusters

Web Servers