Category: Technology

A Guide to Location as a Service (LaaS)

Cloud data delivery models have introduced several new terms in enterprise IT jargon. Some of these include the ever omnipresent Platform as a Service (PaaS), Infrastructure as a Service (IaaS) and Software as a Service (SaaS). These delivery models have helped cloud vendors to bring the most advanced IT services to clients over the cloud. As people have begun to use mobile devices as their primary computing devices, the data that is generated and stored with respect to location is growing very rapidly. Location as a Service (LaaS) is a data delivery model that brings privacy protected physical location data to enterprise customers. Data that is collected via carriers, Wi-Fi, landlines and even IP addresses are made available through APIs to clients. Why should you use location-based data? Every location is different Marketing is heavily dependent on demographic data Marketing is also dependant on geographical data, as culture and demographics are intertwined with location Merchandizing requires location data Hyperlocal marketing campaigns have better ROI Helps you to save money and time, by sending location-appropriate messages eCommerce is heavily dependent on localization Helps you design better social strategies, using location data Adds context to everything that you do Let us take a look at how LaaS helps you, and what you could probably do with it       1.  LaaS provides location data, which can be used to enhance Operational efficiency Ensure privacy and security Increase customer engagement Reduce costs Achieve better ROI       2. Location data is important for both businesses and governments.      3. Location specific data provides insight about activities that are taking place in real time     4.  Location data provides spatial patterns, which help in leveraging various relationships between variables              What does LaaS entail? Subscription-based and scalable Insight and analytics are available on demand Combine business intelligence and automation tools with location data Software as a Service (SaaS) Location-based data is served via apps and software via a centrally hosted cloud Infrastructure as a Service (IaaS) Manage and store location specific data Platform as a Service (PaaS) Develop and run embedded apps and analytics    Summarizing LaaS’ current status As we can see, location-based data is becoming increasingly important and is being used across industry verticals. While location data finds use in retail industry the most, it is used in finance services, security, governance, and various other verticals. This data is now being delivered via cloud on an on-demand PaaS, SaaS and IaaS model. This synthesized cloud delivery model of location data is also termed as LaaS. Location as a service is going to change the way clients are going to use location data, making it accessible for even smaller and medium sized companies.

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Everything You Need to Know About Beacon Technology

A growing number of retail outlets have begun to use beacons to collect and transmit information of various kinds. Beacon technology started to become popular a few years ago, and has become one of the most sought after technologies among industries. Beacons help mobile applications to communicate with devices nearby. If you wish to communicate with your customers as they walk past your store, or when they are at your store looking for products in the aisle, beacons will help you to do that easily, via a mobile app. What is a beacon? A beacon is a tiny gadget that transmits radio signals to smart devices such as cellphones and tablets. These radio signals (also known as ‘Advertisements’) contain small packets of data, which can be customized by the developer as per requirements. When a mobile application receives these radio signals, it ‘listens’ to them and initiates an action on the user’s phone. These actions could range from providing the information about a location, a product or a discount that is being offered to something that is more complex. It could be anything that you want to communicate to your target audience when they are physically close to the installed beacons. Communication usually takes place one-way, which is, from a beacon device to a smart device. How does it work? Beacons are quite different from Bluetooth devices, though they use Bluetooth Low Energy (BLE), a name that is confusingly similar to its more popular technology, the good old Bluetooth. However, this version of Bluetooth consumes very little energy and the battery life of each beacon can last up to 2 to 3 years, depending on usage. They are usually installed on walls, ceilings, shelves and other places, where they can easily be hidden with a little effort, without marring the interior decor. If there are no obstructions, smartphones can detect beacons that have been placed from 70 meters to 400 meters away. The only condition for beacons to work is that the user has switched on Bluetooth on his or her mobile device. On iOS, beacons wake up applications automatically, whereas, on Android devices, apps need to run in the background to identify a beacon nearby. A BLE-enabled beacon uses only 1-20% of power a full Bluetooth application might use. Moreover, BLE-enabled beacons are almost 60-80% cheaper than traditional Bluetooth. The industry currently uses iBacon, a set of protocols that Apple recommends to developers when it comes to developing applications that are beacon-enabled. However, it needs to be remembered that Apple does not manufacture beacon hardware itself. A beacon’s Apple-standardized BLE Advertisement consists of four pieces of information, in a packet. UUID: A 16-byte string that helps in discriminating between a large number of related beacons. A large chain of supermarkets may hold the same UUID, regardless of which branch. Major: A 2-byte packet that that groups a smaller set of beacons together. Useful in a single store or supermarket. Minor: This identifies individual beacons and is of 2 bytes. This particular beacon may help you to locate a customer within a store. Tx power: This helps you to determine your user’s proximity from the beacon.   Where can beacons be used?   Beacons can be used across retail locations to communicate with customers. They can also be used to help people navigate indoors. There have been many cases where beacons have helped businesses to track people, especially to thwart shoplifting. A few other uses of bacons include automatic locking and unlocking of computers, requesting for payments on mobile wallets, requesting for feedback, and other such uses.   An example of a successful implementation of beacon technology   One of our clients in Italy requested for a beacon-based shopping experience, to help make shopping at their supermarkets frictionless. Beacon-based shopping helped the clients’ customers to locate the closest branch of their favorite supermarket and reduce travel time. These tiny embedded beacons provided customers with information regarding products, and sometimes even suggesting or recommending what they might probably like. Beacon-based shopping also helped customers to discover discounts, loyalty features, skip queues to pay quickly and go back home. To learn more about how beacons helped to make shopping a pleasant experience go through our case studies read this.   A few limitations of beacon : –   Requires installation and the infrastructure needs to be implemented from the scratch. Some businesses may find beacons aesthetically challenging. Customers may find the technology invasive and may switch off their Bluetooth altogether, defeating the purpose. Signal interference with Wi-Fi, NFC, GPS and other BLEs may cause some disturbance. Newer technologies may arrive in the near future, replacing BLE, which would render an investment in beacon hardware expensive.   Where is the technology heading?   Beacons are being increasingly used by retail chains. This is likely to diversify in 2017 and beyond, Other industries will find beacons useful too, and will see an increased use at airports, public spaces, corporate lobbies, hotels, and other such places where users need be identified and communicated with. Location-based communication is going to get big in 2017 and beacons will be an enduring part of this evolution.   Beacons have the power to customize interactions with customers and this is one of the reasons why retailers were the first to adopt them. However its applications are far reaching and other industries such as banks, security agencies, governments, manufacturing units, warehouses, and others will begin to adopt beacon technology at a rapid rate. In the near future, thanks to IoT and other technologies, any object could become a beacon itself, and when used with the right sensors, a variety of information can be communicated. Certainly, this is a technology that will grow bigger this year.  

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8 Security Tips While Using Digital Wallets

We all have a role to play in keeping our financial accounts safe. Similar to the way we protect our physical wallet today, it’s important to protect our digital wallet. Before signing up for a digital wallet, you should look for a provider to demonstrate: A strong legacy of securely, reliably and conveniently handling sensitive financial data and providing customer support. Readily-available and clear information on how they collect, store and use your information. The ability to send alerts of possible inappropriate access and fraudulent transactions through multiple channels, including email, text messages and telephone calls. Essentially, keep three letters in mind to “L-O-K” access to your money and keep it safe: Lock it down – Protect (physically and with passwords/passphrases) the devices you use to access your payment options: personal computers, mobile phones, tablets, etc. Only you access sensitive information – Safeguard sensitive data, including usernames, passwords, PINs, passphrases and answers to security questions. Know who to call – Before anything happens, know who to call if your wallet were to be compromised.

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Here’s Why India Continues to Be the Offshoring Leader

When the IT outsourcing phenomenon started in the 1990s, all eyes were on India. During the 2000s, improved broadband connectivity and a tendency to desire a larger share in the software pie motivated other countries in Eastern Europe, Southeast Asia and East Asia to follow suit. IT agencies and software companies quickly sprung up in Romania, Bulgaria, the Philippines, China, Vietnam and even Cambodia. Many clients often wonder if India is still the right destination to outsource their projects. Before we discuss why India might still be a good option for those who seek stability, security and results, let us take a look at some of the advantages and disadvantages that these three larger regions have over India. Past the Iron Curtain – A European IT saga Post-1990, many European countries emerged from the shadows of the Cold War and the Russian influence and quickly began to move toward capitalism. Romania, Bulgaria and Ukraine stood out in particular, as they are encouraging their software developers to attract more international projects. Advantages Eastern European countries inherited the communist-era technical schools, which were given a lot of importance. Governments in Bulgaria, Romania and Ukraine have all invested in IT parks, special economic zones and encouraged both local and foreign businesses to set up offices and grow. Many of these countries are inexpensive, and costs could be comparable to South Asia and Southeast Asia. Eastern European countries have a work culture that is similar to Western Europe and North America. These countries are also geographically nearer to Western European countries and North America, enabling easy travel and similar time zones. Disadvantages There are still communist relics in the way these countries operate. Bureaucracy and red tape play a major role in the way things operate in Easter Europe. There is also a sense of instability in countries such as Ukraine, which have seen political and military upheavals in the recent past. Lack of English language proficiency among citizens The costs can significantly increase over a period of time, especially with most of these countries becoming part of the European Union. The IT Revolution in China and Beyond China emerged from its own shadows during the 1990s, much like other communist countries. China invested heavily in infrastructure, training and business skills, which has helped the country to become a major IT outsourcing destination. Its neighbours like South Korea, Taiwan and the Philippines to present attractive options to software clients who are looking for proficient developers. Advantages Technical education has always been a part of the culture of these countries, enabling them to quickly adapt to new technologies, especially information technology. China is very serious about luring business to its shores, and it actively pursues clients. The Philippines has a culture that is quite Americanized and the country’s citizens speak better English than most Asians. Taiwan and South Korea offer infrastructure comparable to the Western World.   China is one of the most important hardware manufacturers in the world. Disadvantages Most of these countries lack good English language skills. China may be great at hardware, but it still needs to pick up when it comes to software skills. The Philippines is particularly good at customer service, but not so much when it comes to software development. These countries are geographically very far from Europe and North America, making communication and travel difficult. South Korea and Taiwan can be as expensive as countries in Europe or North America. Past the Monasteries and Paddy Fields of Indochina Not forgetting the tumultuous past of Southeast Asian countries, they have become important tourist destinations today. Yet, something radically different ties all these nations together: software development and IT offshoring. Vietnam, Malaysia and Cambodia in particular are investing heavily in IT offshoring, and developers in these countries have much to offer. Advantages Vietnam and other countries in Indochina are very affordable when compared to other countries. Vietnam has invested a lot in training its developers and building infrastructure. Laos and Cambodia are even more affordable than Vietnam, and they also encourage businesses to move projects easily, sans the red tape. Indonesia and Malaysia are known for their software talent, which is steadily growing thanks to technical education. Singapore and Thailand provide state of the art business facilities and are not far away from Vietnam or other countries aforementioned. These countries are well connected to North America via trans-Pacific flights. Disadvantages Intellectual property protection may not be very solid in these countries, except in Singapore. Malaysia, Singapore, Thailand and Indonesia can prove to be very expensive. Vietnam, Laos and Cambodia are still in the process of building infrastructure that is required to run large cloud servers. English language proficiency is limited to Singapore, and outsourcing is usually done to other countries in Southeast Asia. These countries are geographical far away from North America and Europe. India, Still the Leader of Software Development While a number of countries have emerged to become offshoring destinations in recent years, India continues to be the market leader in terms of the sheer number of projects completed, research and development, innovation and infrastructure. The fact that India has been in the scene right from the outset of software development makes it a venerable leader. Advantages A solid economy that is built around software development and IT consultancy and still the premier destination for software development, research, consultancy and education. The world’s largest English-speaking country, with more number of people being able to speak English than in the USA or UK. A strong technical-education oriented culture, which is now increasingly more computer science-oriented. Legal and bureaucratic steps are clear and transparent, with intellectual properties safeguarded. Agencies have the experience, infrastructure, manpower and capital to manage both small and large IT products. Disadvantages Sometimes, the red tape gets in the way Geographically and culturally distant from Europe and North America Not always easy to locate reputed software agencies, as there are far too many of them Work culture is very different from Western countries. Costs may not

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The Most Valuable Programming Languages to Learn for IoT

With more objects becoming ‘smart’ and with more products being able to communicate with users with the help of Internet, it is becoming increasingly clear that programming for things is a new reality. Internet of Things, or IoT as it is popularly known, is spurring a new set of demands and targets for programmers. Developers are often left mystified about the nature of programming that is required for IoT and also the languages that are specifically required to program IoT applications. In the coming future, more objects and products will be connected to the internet to make interaction with users and data seamless and easy. With this in mind, it makes sense to look at some of the most important and useful programming languages that may help developers to develop applications and software for smart objects. What we need to remember is that while Internet of Things is a reality, it is still in a nascent stage. Most objects do not have the processing capacity that regular computers do. The computers or chips that are installed in these objects are quite basic, and they need very basic programming skills. What is C? C is a structured and procedural programming language widely used by programmers. C was originally developed by Dennis Ritchie between 1969 and 1973 at Bell Labs. It was first used to develop UNIX operating system. Today, it is used for developing operating system, compiler, network devices, assemblers, application software like database/ spreadsheets; computer and mobile games etc. Why C for IoT? Many IoT devices are embedded and have limitations like low computing power, low RAM and storage. Most embedded operating systems like Contiki, mbed, TinyOS etc support C.  C is highly efficient and you can tweak every part of the code to get the best performance out from an underpowered device. Therefore, it remains the first choice for constrained IoT devices and can be used to write the lowest layer of software, the layer closest to the hardware. It is simpler to complete complex tasks in C.  Moreover, many popular programming languages use C syntax. Finding developers with extensive experience in C is easy. The only limitation of C is its inadequate support to Graphical User Interface.  Nonetheless, its proximity to machine language makes it impressively fast.   Difficulty level C is a basic programming language and has been a reference point for many other languages. It is easy to learn, can create efficient programs, handle low-level activities and can be compiled on a variety of computer platforms.   C++ What is C++? C++ is an enhanced version of C language typically used for object-oriented programming.  It was designed to run large-scale applications, a limitation in C. C++ is widely used in embedded systems, GUI based applications, web browsers, operating systems with application across industries like healthcare, finance, defense etc. Why C++ for IoT? If IoT devices are expected to do complex tasks, C++ is chosen over C.  C++ comes with added abilities like data abstraction, classes and objects. C++ creates compact and faster runtime code. Line of code can be compiled into a couple of instructions leading to high runtime speeds and low energy consumption and is therefore suitable for writing IoT and embedded system code. According to C++ developer, Bjarne Stroustrup, there is still no other language that makes it better than C++ when it comes to specialized hardware to be used for Internet of Things. C++ is designed to handle both hardware and complexity simultaneously. It has apparent advantage of running seamlessly with systems with a few hundred kilobytes of memory. And there are not many languages that can work within such a framework. Difficulty level C++ is a relatively complex language to learn because it is designed to accomplish big and complex tasks. It may take years to master it. If you transition from learning C to C++, adaptability is faster.   Java What is Java? Java is a powerful programming language that enforces object-oriented programming model. It was developed by Sun Microsystems on the same lines as C/ C++, however it is simpler to run than C++. It can used to create applications run on single computer or distributed among servers. Java has wide-ranging applications including development of Android apps, server-side apps, Java web applications, software tools, trading applications, J2ME apps, big data technologies etc. Why Java for IoT? Java codes are portable and it is easy to move them to the smallest devices with the help of Java Virtual Machine. There is a lot of focus on Java SE Embedded today where classes can be eliminated leading to computing resource savings. Consequently, all communication goes through the network. Apart from that, Java has in-built capabilities like hardware support libraries thereby requiring bare minimum hardware dependency. Therefore, it is easy to control a device with a Java-written code. Java has huge potential for consumer IoT as well as industrial IoT.  It is not surprising that many experts consider Java to be the best language for IoT devices.   Difficulty level Java is one of the easiest languages to learn and is good for beginners. Once you understand its syntax, packages and frameworks, it is swift to learn.   Python What is Python? Python is a high level, object-oriented programming language. A general purpose language, Python works perfectly for backend web development, data analysis, artificial intelligence and scientific computing.  Developers also use it to build productivity tools, games and desktop apps. It is one of the fastest growing languages for embedded computing.   Why Python for IoT? Python is well-known for its writability, error reduction and readability. It is easily decipherable and its design is in line with today’s agile environment. With embedded algorithms becoming complex with the use of neural network and other heavily-involved processes, Python is just the right language for IoT projects.   Python can easily aggregate data coming from microcontrollers like Adruino, pass on commands, and display/log results in IoT projects. It is being used to interface with high-performance

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Understanding BitCoin in Today’s Context

Bitcoins have been around for over eight years and their price has observed dramatic fluctuations over the years.  In the beginning of 2016, one bitcoin was valued at $434 and as of Dec 2016 it is hovering around $780.  Bitcoin hit an all-time peak on Nov 29, 2013, with its value at $1,137. Global cryptocurrency has grown rapidly in the year 2016.  As of mid-June, the value of all blockchain-based currencies in circulation was pegged at $14.37bn. And the total value of active bitcoins as of July 1, 2016 was $10 bn. What does this high market capitalization of popular cryptocurrency bitcoins signify? For sure, bitcoins are becoming popular source of investment despite its volatility. The following blog will help you to understand bitcoins, what drives people to invest in bitcoins, some myths regarding them and finally what future they hold.   What is a bitcoin? Bitcoin is a cryptocurrency introduced in 2009 by unidentified programmers under the name of Satoshi Nakamoto.  Cryptocurrency is a digital currency where encryption techniques are used to regulate the generation of currency units and verify the transfer of funds. Bitcoin is a decentralized digital currency.  It means unlike physical currencies, bitcoins don’t fall under the ambit of regulatory authority and operate as an independent virtual currency. And your digital account can’t be controlled by banks or any other legal agencies. Bitcoins are transferred from one computer to another with a verified transaction. Bitcoins can be used anywhere across the world for making online transactions like purchasing video games, gifts, books, servers, etc.   How does it work? Bitcoins are generated all over the internet by running a free application called a bitcoin miner. Mining requires some amount of hard work for generating each block of coin. Bitcoins are automatically transferred to miners’ account after verification. The total number of bitcoins will always be predicable and limited because the system is designed in such a manner that it can’t exceed a limit of 21 million units. Bitcoins are stored anonymously in the network. They run on open-source software where anyone can review the code.  There are many currency exchanges that can trade your bitcoins for dollars and euros.  One of the most popular digital asset exchange companies is Coinbase. Coinbase facilitates buying and selling of bitcoins.   Bitcoins transactions are backed by blockchain technology. Blockchain is a public ledger of all transactions in the Bitcoin network. It allows you to navigate the bitcoin blockchain.   Reasons to invest in bitcoin   Growing adoption     Bitcoin market was highly speculative in its early days and there were limited areas where you could use this virtual currency except grey market. Today it is widely used to carry out real-world transactions in place of debit/credit card. Because many merchants are accepting bitcoins to sell goods, it makes a lot of sense for investors.     Decreasing volatility     Bitcoin has witnessed a gradual upward curve in 2016. The amount of volatility on a day-to-day basis has significantly reduced because people and vendors have to come to realize its real value.  It is true that bitcoins are still far from being a stable currency as compared to physical currencies; the trends reflect that degree of volatility has reduced over the years.   Security against economic uncertainties     People as a habit have preferred to invest in gold in terms of uncertainties. However, events in the recent past have shown that investors are turning to look at Bitcoin as a safe haven. Whether it was Cyprus’s economy crash, yuan’s fall, Brexit or India’s demonetization currency reform, all these events witnessed a high surge in demand for bitcoins. Bitcoin is not connected to traditional financial system. It is an exciting option for investors to reduce their liability in government currencies amid weak monetary policies.     Trading bitcoin is not rocket science     Like other online transactions, you need a bank account, credit card or a PayPal account to trade bitcoins. There are many currency exchanges like Coinbase, BitQuick, Blockchain Wallet to help you do so. It is as simple as trading stocks.   Bursting myths about bitcoins     Bitcoins are gold coins     Many people who are unaware about bitcoins’ virtual nature have actually tried to purchase bitcoins on online shopping websites.  It is not a physical currency but a cryptocurrency that only exists as an entry on a ledger held in the Bitcoin network.     Bitcoin wallets are physical wallets     Because there is no tangible item to store, the storage medium can’t be physical. Yes, bitcoins can be stored in offline wallets where a miner stores bitcoins in an offline app in computers. However, owing to safety issues that practice has plummeted and bitcoins today are stored in encrypted Bitcoin wallets that hold your private and public keys used to sign off transactions.   It is free to trade bitcoins     The fact that bitcoins are not regulated by a formal authority does not mean that they are free to trade. Bitcoin miners are nodes on the decentralized network and they charge a small amount on transactions. Nonetheless, bitcoin transactions are far cheaper than banking transactions.   Future of bitcoins   Bitcoins don’t have constraints of netbanking transactions and can be transacted 24 X 7 via the internet. It serves as hedge against currency risks, inflation, or disaster insurance. The future of the bitcoin market ten years down the line depends on how its usage evolves and how many people actually start using bitcoin. If people use bitcoin to buy a cup of coffee, grocery etc and becomes a regular way of transaction in place of dollars as a cost-efficient means, its usage and value is definitely inclined to surge.  Otherwise, it can simply operate as a better alternative of investment like gold.  And investors would like to spread their risk by adding bitcoin to their investment portfolio.   Many leading banks and financial institutions are beginning to

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Is Machine Learning Overrated or Overhyped?

Not a day passes without us hearing or reading something about machine learning or artificial intelligence. It is almost certainly a buzzword, vigorously lapped by journalists, analysts and even CEOs. Of course, a C-level executive of a company has to drop in these buzzwords in front of investors and others in order to seem relevant. However, it does not take us long to realize that there is a staggering increase in the number of times we hear the words ‘machine learning’ or ‘artificial intelligence’. We need to acknowledge the fact that machine learning has been around since the World War 2, and that it continued to evolve over time. It was only limited because of the limitations of hardware. The algorithms, the concepts and the idea were all there of course. Scott Aaronson, a theoretical computer scientist at MIT opines that the way machine learning is being discussed today is very similar to how people discussed computers in the 1950s. People discussed computers and humanoids in the same breath but they did not foresee the Internet coming. Yet, military officials and others did have inkling about Internet and how it might change the world. Similarly, machine learning is certainly big, and it does deserve the hype it is receiving. Yet, it is overhyped because machine learning isn’t new. It is just computer algorithms that have been branded as something futuristic, while it has been there all along. In this article, let us take a look at why machine learning is overhyped and yet, it probably deserves that extra attention. It’s been around The history of machine learning dates back to 1959 when Arthur Samuel defined it as something that gives computers the ability to learn without being programmed explicitly. From then, it was closely associated with artificial intelligence, which is more theoretical in nature and is concerned with giving computer systems the ability to perform tasks for which human intelligence is required. Machine learning later came to be defined as something that is practical, more than theoretical. This happened during the 1980s and 1990s when computers were developed to operate autonomously. However, machine learning is more realistic and objective in nature, and is concerned with what can actually be achieved in realistic terms as of today. Artificial intelligence on the other hand focuses more on research and changing times. With Internet of Things becoming more common today, machine learning is not as farfetched as it once seemed. However, the way the phrase is being dropped at conventions, seminars and networking events, especially by those in the software or computer science industry makes some people a little skeptical. This is because, machine learning isn’t new, and all computers are machines and they do learn to work autonomously. That is exactly what programming is all about. It’s got future It doesn’t need to be repeated that programming, artificial intelligence, Internet and everything that we know related to computer science and information will continue to grow. When someone repeatedly discusses machine learning as if it were something new and special, it gives a sense of trying too hard to prove something. While machine learning is an established scientific field, the over usage of the term has led some to believe it is a new science that is going to change things quite dramatically. On the contrary, machine learning has always been around in the last few decades, and its application will be quite widespread. The reason for machine learning’s wider growth and application will probably because of IoT growing in nature and stature. As more objects will become ‘smart’, more machines can be ‘taught’ to interact with humans and computers in a more advanced manner. This is probably a more realistic approach to understanding machine learning than discuss it as if it were a fad. Machine learning isn’t a fad but it is an established field of computer science. Be wary of over usage Machine learning, like all other tech buzzwords, seems very appealing. Once you begin to read the many articles that are churned glorifying it, you might end up using the word too, all too often. It is neither impressive nor necessary to use buzz words in order to sound informed. In fact, using the word all too often may actually harm those who are really working at machine learning. Machine learning in reality is quite a tedious and difficult science that involves lot of programming and coding. It is not half as glamorous as a journalist might make it seem to be. Yet, it is an extremely important part of computer science and it is certainly changing the world as we know it. It is important to remember that all fields of science change the world as we know it. Even something as basic as neuroscience is responsible for a better understanding about how humans work and think, leading to improved treatments. Yet, nobody discusses neuroscience as they would discuss machine learning, though it is advancing at probably the same rate. Certainly, one might want to be wary of hype over machine learning. However, the field itself is very promising and will continue to evolve, just as another field of science. Avoid the hype, embrace the facts There is a lot of hype around different technologies today. It s important to remember that no particular technology is superior to another and that every field has its role to play in the development of society. Similarly, machine learning has been around for decades and it is only now that it is receiving a lot of attention. This neither means that it doesn’t deserve the attention that it is getting nor does it mean that the hype is right. The hype can be translated to mean that machine learning is very relevant today than it was yesterday. And most certainly, it is going to remain as important as it seems today. On that note, it probably deserves the hype that it is receiving.

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What Is The Difference Between Data-Center And Cloud?

Users often get muzzled about technical jargons and have a little idea sometimes what they are referring to. Same is the case for data center and cloud. Though both the terms are related to data storage, there is enough ambiguity for people to misinterpret. The following blog distinguishes how the two terms are more different than same. Differentiating data center and cloud Data center is a storage facility that manages and disseminates data for an organization with its local network. It is designed to meet specific requirements of the organization’s IT operations. Cloud or cloud computing, on the other hand, refers to data storage and accessibility over the internet instead of organization’s privately held data center. All services hosted over the internet like SaaS, PaaS and IaaS fall under the gamut of cloud services. Cloud offers virtual memory facility that can be increased or decreased depending on your storage, computing or infrastructure requirement. Should you get a cloud or a data center? There are many factors to consider before you make a choice. Scalability Data center is suitable for organizations that require a customized and dedicated system to have full control over their data and hardware. When you own a data center, capacity expansion requires you to spend the significant amount of money to match workloads. Cloud facility is highly scalable and quickly adapts to your business needs. Cloud offers unlimited capacity expansion based on vendor’s products and service plans. Reliability The infrastructure in place should be available whenever you need it. Computer hardware and software are susceptible to mishaps like fire suppression and unwanted scenarios like redundant data making the system highly expensive to maintain. You are likely to face significant downtime if anything goes wrong with your data center. On the other hand, cloud servers use multiple data centers in different geographical locations with proper backup. This shields you from unwarranted downtimes. When one data center experiences a glitch, other data centers take up the load to keep your applications running without any disruption. Leading cloud service providers provide all the necessary features to run cloud applications. The cost incurred in maintaining the system is offset by revenue generated through the sheer number of clients accessing the services. Therefore, cloud storage is reliable from that perspective. Security The physical security of a data center is a major cause of concern among data center owners. Virtual security in a data center includes protecting operating system, database, SLL/TLS and other virtual security features from any kind of failure. Because a data center is physically connected to a local network, only company-approved credentials and equipment can access it. Hence, data center security is in your hands. On the other hand, cloud may seem less secure because data security is entrusted to third-party servers that may or may not have proper security certifications. It is a critical concern among most organizations considering the vulnerability of customer data to hackers. There are many entry and exit points across the network due to multiple clients and cloud provider must plug in gaps in data leakage. With that said, leading cloud data centers follow industry standards and encryption to protect virtual security aspects. They use biometric access control of physical assets, servers and buildings to physically protect all the data centers. Value To set up your own data center takes time and money. To add to it, there are significant operational costs associated with it. In contrast, cloud computing enables you to get started without wasting a moment. A wide range of modules and services are provided on a subscription basis by cloud providers to meet your budget. And capital liability is a bare minimum. On the other hand, organizations have to incur huge expenses to keep the data center running incessantly. Therefore, maintaining a private data center is an expensive proposition often not affordable for small enterprises. So when costs are high, a proportionate value generated becomes lower. Cloud with its pay-as-you-go model is becoming a popular choice among small enterprises. Performance Organizations with different types of applications and complex workloads look for installing a data center. Cloud servers, in contrast, handle a lot of network connections due to which performance may get affected. Control A significant disadvantage of a cloud is that you have limited control over it because it is owned and managed by the third party. Moreover, you share resources with other cloud users in your provider’s public cloud. Businesses with highly sensitive data and complex workloads may be wary about it. Storage In a cloud, your data is stored in a third-party data center either owned/ rented by cloud service provider or data center service providers. Therefore, all related updates and ongoing maintenance are carried out by those service providers. On the contrary, company-owned data centers are maintained by in-house IT department. Location The physical location of data center can be within or outside the organization’s premises. On the other hand, cloud data center is located off-premise when you subscribe to public cloud services. However, cloud data center can be on-premise or off-premise in a case of private cloud services where you have a dedicated server allotted to your business. Management The onus of managing a data center is completely on internal IT team. If you are able to manage it well through proper hardware and software upgrades, it is good. Big enterprises often prefer to stay that way. On the other hand, in cloud storage everything is managed and provisioned by cloud service provider. It is a huge relief for business owners because you just have to focus on implementation. Accessibility Users often have a notion that physical proximity to a data center makes them more accessible. It is true when you have an on-premise data center. Alternatively, cloud data centers are virtual machines easily accessible through the web. So irrespective of your location, you can manage and access your data from anywhere. Cloud is data center owned and hosted by third party Data center is storage equipment

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PaaS to Build Your Next SaaS Product

Developers with experience in application development know that platform-specific applications outperform others and are fairly easy to manage. Similarly, cloud application development for public or private cloud is best carried out in cloud environment.  The most efficient way to build a SaaS (Software-as-a-Service) application is using PaaS (Platform-as-a-Service).   PaaS allows you to develop and manage SaaS application within the cloud. It promises faster development by quickly putting applications into production without having to set up the corresponding hardware and software.  Not surprisingly, PaaS is registering a phenomenal growth and is expected to hit $34 billion by 2018. Here is why you should draw on PaaS to build your next SaaS application.   What is PaaS? Platform as a Service is a cloud service that provides computing platform for creation of web applications. As a result, users don’t need to invest in underlying software and hardware to build a new application. PaaS is in contrast with SaaS where instead of computing platform on-demand software is delivered over the web. How does PaaS help to build a SaaS application? PaaS offers you the ability to self-provision development and testing environments that enables you to start application development instantly. It makes it easier for developers to collaborate with other developers and architects.  It simplifies the deployment and management of web applications besides making the applications more resilient. Salient features offered by PaaS   Centralized hosting   A number of web servers happen to sit idle in your data center when you are running only a few applications. As a result, resource utilization is poor coupled with low software security and wasted energy.  You end up using multiple servers to host various individual sites.   PaaS optimizes server space utilized by various applications by offering a centralized host that can be optimized for loads of internal or external web applications. You can exploit centralized hardware for various needs like application development, staging, QA and production. Consequently, PaaS helps in the reduction of server sprawl.   Scalability   PaaS allows you to add computing resources as and when you require them. Leading PaaS providers offer automatic scaling or user-driven resizing to adapt to fluctuating demands. Therefore, memory allocation to deploy a web application can be instantly increased or decreased.   Previously, organizations had to resize their computing infrastructure to meet peak demands that was left underutilized for prolonged durations. Thus, PaaS helps you to save significant amount of money.  Moreover, the entire computing environment is under your control.   Fabric allocation   PaaS offers you an excellent opportunity to focus solely on your application. Instead of deploying to a server, applications are deployed to a PaaS fabric. This means as a developer you just have to push applications to the existing PaaS environment and all other steps are taken care of.  PaaS infrastructure is designed to deliver automatic patching, scaling and monitoring.   Multi-tenancy   PaaS products are designed in such a manner that they can host multiple applications or tenants simultaneously. Apart from providing significant computing capacity, PaaS platform offers built-in load balancing services and failover in the event of server failure. Multi-tenancy ensures that code updates are deployed across the board thereby boosting reliability and performance of each application hosted in the cloud.   Services beyond hosting   PaaS is not limited to hosting web applications. It offers many add-on services like database, storage, identity management, caching etc. API management and service catalogs are some other complimentary services offered.  All these services can be used along with hosting without provisioning for additional hardware thus saving you from a lot of hassle.   Programmable User Interface   PaaS offers drag and drop method that allows you to create and configure UI components.  Pre-defined standard UI elements can be used in building applications. Reusable UI components like grids, tree-like hierarchies can be used with the help of simple html code with minimal coding requirements. This PaaS offering gives UI designers control over application interface and allows them to add new designing layers faster.   Database customizations   A key aspect of PaaS offering is database customization. Objects are fundamentally used to store data in cloud applications. A declarative web interface provides visual control at meta-data level. Declarative web-based interface facilitates developers to define objects and specify relationship between objects.   Flexible services-enabled integration   PaaS leverages Service Oriented Architecture to enable seamless integration of cloud app data and functionalities to amalgamate with other applications. Therefore, SaaS integration is an important feature offered by many PaaS products. Integration between cloud-applications and on-premise systems is enabled through a range of pre-built connectors.   Robust workflow   PaaS platform offers a business-logic engine that supports the definition of workflow processes. Workflow process defines status of business object flow during its lifecycle. With a combination of workflow processes, developer can model different business processes within the web browser. PaaS also includes the ability to programmatically define powerful trigger conditions using scripting language like JavaScript. Leading PaaS providers   Amazon EC2   The core components include computing power, storage and database services. Key features: Supports multiple operating systems Control access to instances in AWC environment Enables users to scale across servers and procure compute resources to design fault-tolerant applications Easy to move existing applications into EC2 Allows you to define scale-up or scale-down conditions

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When Google Trounced Apple to Become the Most Valuable Company

    It’s been a while since we read that Google passed Apple to become the world’s most valuable company. Google’s parent company Alphabet overtook Apple in May, with respect to market capitalization. However, Apple is back at the top, with a market capitalization of $568 billion. Google’s market capitalization of $547 isn’t far behind. It holds the second place now. What is really revealing is that Facebook is now the 5th most valued company in the world, after Microsoft & Amazon. What does this tell us? The fact that a social networking company is one of the biggest 5 is a revealing trend. What it is also revealing is that Apple’s business is kind of slinking. Its iPhones are not generating as much money as they used to do previously, and it is left wondering if it should focus on its Macs or its iPads. Google’s business isn’t doing very well, especially when it comes to its ad business. The reasons could be many, but at the moment, what we need to notice is, Google and Apple continue to remain at the top, while Facebook is slowly clawing its way to the top. Microsoft is falling, and Amazon has plateaued. It tells us where we are in the world of technology. With both Apple and Google being the traditional tech companies, that have focused on mobile development, is it soon enough to say that the mobile bubble getting ready to burst? Not really! On the contrary, mobile usage is plateauing, and the market is becoming more and more mature. With maximum people having access to tools that get them online (such as mobile devices), it is only for Facebook to see an upward surge, which focuses on its social platform and ads. Similarly, more people are buying online, which leads us to believe that mobile is keeping Amazon’s growth at a steady pace. While there do not seem to be any disruptions coming our way, the trend clearly is towards the social. Social platforms have long been seen as the next big thing, and now they are getting their due respect, and Facebook’s case is just an example of the trend. On the other hand, both Google and Apple are struggling to retain their coveted places, which show us that previous business models may soon change, and they may need to innovate in order to stay at their top forms. Looking forward Both Google and Apple might begin to focus on not just their mobile businesses, but also their social side of their business. For example, Google may invest more on making algorithms social-search friendly, whereas, Apple is likely to focus on Apple Music’s inherent social capabilities. Music is the next big untapped source of social revolution and Apple is certainly well equipped to handle that. We need to wait and watch how these older companies will handle this situation, while social networking companies continue to see the growth that we all expected.

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