Archive for March, 2018

The Five Laws of Gold

machine learning articles

0 Comments

We live in an impatient age, and when it comes to money we want more of it now, today, not tomorrow. Whether it’s a deposit for a mortgage or clearing those credit cards that sap our energy long after we stopped enjoying what we bought with them, the sooner the better. When it comes to investing, we want easy pickings and quick returns. Hence the current mania for crypto-currencies. Why invest in nanotechnology or machine learning when Ethereum is locked in an endless upward spiral and Bitcoin is the gift that keeps on giving?

A century ago, the American writer George S Clason took a different approach. In The Richest Man in Babylon he gave the world a treasure trove – literally – of financial principles based on things that might seem old-fashioned today: caution, prudence and wisdom. Clason used the wise men of the ancient city of Babylon as the spokesmen for his financial advice, but that advice is as relevant today as it was a century ago, when the Wall Street Crash and the Great Depression were looming.

Take for example, the five laws of gold. If you are looking to place your personal finances on a sound footing, wherever you are in life, these are for you:

Law No1: Gold comes gladly and in increasing quantity to anyone who puts by at least a tenth of their earnings to create an estate for their future and that of their family. In other words, save 10% of your income. Minimum. Save more than that if you can. And that 10% is not for next year’s holiday or a new car. It’s for the long-term. Your 10% can include your pension contributions, ISAs, premium bonds or any kind of high interest/restricted access savings account. OK, interest rates for savers are at historic lows now, but who knows where they’ll be in five or ten years? And compound interest means your savings will grow faster than you think.

Law No2: Gold labours diligently and contentedly for the wise owner who finds profitable employment for it. So, if you’re looking to invest rather than save, do it wisely. No crypto-currencies or pyramid schemes. We’re focusing on the words “profitable” and “employment”. Make your money work for you but remember the best you can hope for this side of the rainbow is steady returns over the long term, not lottery wins. In practice this is likely to mean shares in established companies offering a regular dividend and a steady upward trend in share price. You can invest directly, or through a fund manager in the form of unit trusts, but before parting with a single penny, see Laws 3, 4 and 5…

Law No3: Gold clings to the protection of the cautious owner who invests it under the advice of those wise in handling it. Before you do anything, talk to a qualified, experienced financial adviser. If you don’t know one, do some research. Check them out on the internet. What expertise do they have? What kind of clients? Read the reviews. Call them first and get a feel for what they can offer you, then decide if a face to face meeting will work. Check out their commission arrangements. Are they independent or tied to a particular company, under contract to push that company’s financial products? A decent financial adviser will encourage you to get the basics in place: pension, life insurance, somewhere to live, before steering you towards investing in emerging markets and space travel. When you’re satisfied that you’ve found an adviser you can count on, listen to them. Trust their advice. But review your relationship with them at regular intervals, say annually, and if you’re not happy, look elsewhere. Chances are, if your judgment was sound in the first place, you’ll stick with the same adviser for many years to come.

Law No4: Gold slips away from the one who invests it in businesses or purposes with which they not familiar or which are not approved by those skilled in its keep. If you have a deep knowledge of food retail, by all means invest in the supermarket chain that is increasing market share. Likewise, if you work for a company that has an employee share ownership scheme, it makes sense to take advantage of it, if you’re sure that your company has good prospects. But, you should never invest in any market or financial product that you don’t understand (remember the Crash!) or can’t fully research. If you are tempted to try your hand at currency dealing or options trading and you have a financial adviser, talk to them first. If they’re not up to speed, ask them to refer you to someone who is. Best of all, steer clear of anything you’re not sure about, no matter how big the potential returns.

Law No5: Gold flees the one seeking impossible earnings or who follows the alluring advice of tricksters and schemers or who trusts his own inexperience. Again, the fifth law follows on the heels of the fourth. If you start scouring the internet for financial advice and wealth creation ideas, your inbox will soon be full of “tricksters and schemers” promising you the earth if you’ll invest £999 in their “system” for turning £1 into £1XXXXXX on the Chicago Mercantile Exchange. Remember, the only one who makes money in a gold rush is the one selling shovels. Buy the wrong shovel and you’ll quickly dig yourself into debt. Not only will you pay through the nose for a system that has no proven value; by following it you will probably lose a lot more than the price you paid for it. At the very least you should check genuine reviews of the product. And never buy any system, investment vehicle or financial product from any company that is not registered by a national watchdog, such as the Financial Conduct Authority for the UK.



Source by Ian Paul Jones

Top 10 Cross-Platform Mobile App Development Tools for Enterprises

machine learning articles

0 Comments

The mobile app development has become imperative for enterprises success nowadays. The continued growth of the smartphones provides businesses a unique opportunity to connect with potential customers via mobile apps. With so many mobile devices storming the market each day, it’s no treat for developers to create apps that can work on multiple platforms.

In the past few years, the popularity of cross-platform mobile app development tools has increased in a big way. These tools enable developers to write code once and run it on multiple platforms, including Android, iOS, and Windows. According to a recent study by Forrester, 60% of enterprises are already using cross-platform development. Cross-platform mobile app development tools will grow by leaps and bounds in the coming years. As per the predictions of IDC, by 2017, the market for cross-development tools will reach $4.8 billion, increasing at a compound rate of 38%.

Below is the list of top 10 cross-platform mobile app development tools which have made the lives of developers a lot easier.

1. Xamarin

Xamarin is a cross-platform app development tool that offers several amazing features such as the ability to add components directly from an interface, native API access, integration with backends, and forms interfaces for sharing the code. This tool empowers developers to build native apps for multiple platforms (Android, iOS, and Windows), with a single shared C# codebase. Moreover, developers can use the same APIs, language, and IDE everywhere. Xamarin has been used by several big names, including Dow Jones, IBM, Foursquare, and Microsoft.

2. Adobe

Adobe offers PhoneGap Build (cloud-based) and PhoneGap (an open source solution based on Apache Cordova).

The developed applications can access native, specific device functions across various device platforms, using Cordova, an open-source set of device APIs. With Cordova’s cross-platform plug-ins and APIs, developers can build and code apps using Java Web languages – HTML5, and CSS3. Using Cordova, developers can create an app with a single codebase. The apps that are created once can be run on all devices- be it iOS, Android or BlackBerry.

3. Ionic

Ionic is an open-source SDK that comes with default JavaScript and CSS components. It helps developers to build cross-platform mobile apps using web technologies like SASS, HTML5, and CSS. Ionic framework comes with more than 120 native device features, including Fingerprint Auth, HealthKit, and Bluetooth. It also features TypeScript extensions and Cordova/PhoneGap plugins.

4. Sencha

Sencha Touch, an MVC-based JavaScript framework, provides a high level of responsiveness for your app and is compatible with all the latest versions of iOS, Android, and Blackberry. Developers can use Sencha to develop apps in HTML5, which can be further translated to cross-platform apps with the help of PhoneGap. Sencha comes with high-performance UI widgets for toolbars, lists, menus, and forms.

5. Appcelerator

Appcelerator is based on the concept of “write once, run everywhere” and offers a single JavaScript codebase for its applications. Apps can be created with fewer lines of code using Appcelerator. It also supports real-time mobile analytics and can be used to build Android, iOS, browser-based HTML5, and Windows apps. Appcelerator supports over 5,000 devices and the MVC framework Alloy, the Eclipse-based IDE Studio, and OS APIs.

6. RhoMobile

The RhoMobile framework is used for developing native and cross-platform enterprise and consumer mobile apps. Applications written on RhoMobile Suite can be run on Android, iOS, and Windows. This tool consists of a broad API set, a built-in MVC (Model View Controller) pattern, integrated data synchronization, an Object Relational Mapper for data-intensive apps, RhoGallery, RhoConnect, RhoStudio, RhoElements, and Rhodes. Mobile app development services using RhoMobile are provided on the cloud and comprise of synchronization, hosted build, and application management.

7. NativeScript

NativeScript has supported integration with Visual Studio Code and it allows developers to build the cross-platform native mobile apps from a single JavaScript codebase. This open-source framework gives developers a direct access to every component from Angular, TypeScript or JavaScript and native platform API. The structure part and coding style of NativeScript apps resemble HTML-based web apps. Gartner has named NativeScript as a “Leader” in the 2017 Magic Quadrant for Mobile App Development Platforms.

8. MonoCross

MonoCross is an open-source cross-platform mobile app development framework that lets developers create engaging apps on Android, iPhone, iPad, Windows, and Webkit enabled phones. With MonoCross, you have the flexibility to write one app for all supported architectures and platforms and have a custom user interface for each platform. MonoCross uses the Mono framework, C#, and Microsoft.NET and you are not required to have knowledge of the low-level elaborations of all platforms.

9. Codename One

Codename One enables rapid development of applications and deep integration with the native platform. The flexible architecture of Codename One lets the UI work seamlessly across all platforms. The code is written in Java and the app is verified and tested with Codename One’s test automation tools and simulator devices. This framework supports popular IDE’s like IntelliJ IDEA, Eclipse, and NetBeans. It ensures compatibility with upcoming iOS versions as it uses ParparVM. The developers can build native Windows and native iOS apps without Windows PC or Mac machine.

10. Convertigo

Convertigo enables developers to develop mobile apps once and run on iOS, Android, and Windows. This platform offers four solutions – Convertigo Server, Convertigo SDK, Convertigo Studio, and Convertigo Cloud. It comes with various connectors like web services or SQL databases to connect to enterprise data. Convertigo has full sync data replication feature due to which data can be accessed offline.

Cross-platform mobile app development is based on the popular languages like JavaScript, CSS, and HTML. The cross-platform mobile app development tools are quite versatile and let developers develop apps in one environment and run them on multiple native platforms, including iOS, Android, and Windows.

Which tool will you prefer to get your apps developed? Reply in the comment section.



Source by Seema Sharma

Open Source Trends That Will Influence Web Development in 2018

machine learning articles

0 Comments

As the technology landscape keeps evolving, we find ourselves surrounded by new and emerging open source platforms every other day. New developments such as Open Stack, The Internet of Things and more have created a complete paradigm shift in the way we use technology in our everyday lives. Here is a rundown of the top open source trends that will rise to popularity in 2018.

Open stack will gain more importance

Open stack is essentially a cloud operating system. It offers admins the ability to provision and control huge compute, storage and networking resources via an intuitive and user-friendly interface. Many businesses are already using open stack for managing their cloud computing systems. The popularity of this system is due to its flexible ecosystem, transparency, servers and lower cost as compared to the other equivalent alternatives. Open stack is expected to surge in acceptance and will be a major influence in the future of cloud computing.

Progressive web apps will be more popular

Progressive web apps is an aggregation of technologies and design concepts as well as APIs that enable you to have an app like experience in the mobile browser. Traditional websites have certain inherent shortcomings. Apps provide a more personalized experience, but have a huge demand on the resources as they have to be downloaded to the user’s device. PWA delivers the best of both the worlds. It effectively provides an app like experience and can be accessed via a browser. It can be indexed by search engines and can be made responsive to fit any form factor. This technology is poised to soar to new heights in 2018 – that’s a no-brainer.

Rust to rule perfectly

Unlike most programming languages, Rust does not come with a safety vs. control tradeoff. It offers 100 % control without compromising on safety. Rust has a unique approach that includes built-in testing and developers consider it as a viable option for an open source language. It is an effective option to languages such as C and python to write secure code.

R user community grows

The R language is a project by GNU. It is associated with statistical computing and graphics. It offers a wide array of statistical and graphical techniques for development. R is a perfect open source option for data manipulation, calculation and graphical display. It will definitely rule the open source market in 2018 too.

Machine learning and artificial intelligence expand in scope

Machine learning and AI give machines the ability to learn from the past and improve the user experiences without the programmer having to explicitly code the instructions. With several open source technologies leveraging them to build cutting edge applications, these kind of apps will definitely be widely implemented in 2018.

As the internet of things connects more and more things and cloud computing rises in implementation, 2018 will see a number of technology disruptions and open source will definitely be a driving force for most of these innovations.



Source by Bhatt Digant

How ERP Software Is Becoming A Potential Game-Changer for Businesses

machine learning articles

0 Comments

Most businesses are deploying the ERP software that helps them in running everything effectively and take proper decisions on time. Market probe revealed that ERP became a predominant strategy of modern businesses to automate their everyday administrative and operational tasks and to bind them together for the ease of management. All major functional areas including purchase, manufacturing, sales, distribution, HR, accounting are integrated into one software that aids the management to balance out all activities and bring in complete transparency in the business.

While entrepreneurial software lately became the cornerstone for business workflows all around the world, ERP software implementation provided a fresh prospect with peerless benefits. Here is the brief explanation of how ERP software is becoming a game-changing trend for businesses.

Enterprise UX gets the prior concern

UX stands as a great priority above everything in ERP software which makes it a dominating trend in the business world. The urge for seamless user-experience/user-interface is increasing in every aspect of technology and is important too in the sphere of ERP. It helps the software to cope with the expectations of users. So, no matter what, ERP UX is simple even the data they deal with is complex. That is why it is envisaged that ERPs will evolve over time from complex software to simple easy-to-use software.

Countless features

ERPs are gaining momentum among the large enterprises for its myriad of innovative features and extensive capabilities. By integrating different functional modules and industry-specific features, ERP solutions help business to cover all their tasks and adapt easily to any organisational changes. Multiple currencies or multilingual interface support are the examples of innovative features incorporated into ERP.

Business Intelligence

The modern ERP systems are one-step ahead of the legacy systems used earlier by businesses and include built-in analytics. At the same time, Artificial Intelligence (AI), machine learning or data models are becoming integral aspects of ERP. While BI provides a platform to organisations for sound analysis, reporting and decision-making, the point of integrating it into ERP is to bring fact-based decision-making, precise reporting, analysis and demand forecasting for production planning.

Prominence of Mobile ERP

Surfacing of mobile ERP is another prominent game-changing trend today as all have entered into the mobile-first era. While mobile websites and custom apps have become inherently crucial for acquiring customers, ERP stands no exception to that. Primarily a software with on-premise installation, they will be now available on mobile devices. Thus, employees could access the system anytime from its cloud-based data storage and get all tasks-related information at hand.

IoT and ERP

While IoT is the hot trend in technology, it is going to have an everlasting impact on functioning of ERP systems. ERPs paired with IoT will deliver impeccable advantages to the businesses and raise their productivity. It connects the unstructured data and analyse them, show them real-time to the employees. Frankly, with IoT, data-driven functions will become more efficient and will help employees to deal with larger volumes of data.

Without a doubt, these influential trends will alter the business environment in the upcoming years and make operations more efficient and quicker. However, businesses need to make sure that they hire a dedicated ERP partner that could develop great software and purposely help them to ease their tasks as much as possible.



Source by Rob Stephen

Why Google Chrome Lags? Learn How to Fix It

machine learning articles

0 Comments

While browsing or downloading some file from a web site, Google Chrome lags. There are many reasons why this lagging occurs. Some of these reasons include accumulation of too much browser junk, corruption in Windows registry and malfunctioning extensions or browser applications. We will discuss certain solutions that worked for many users.

To stop lagging in Chrome web browser do below steps:

Reset Google Chrome to the Default Settings

Re-Set Network Settings for Maximum Internet Performance

Disable the Automatic Tuning Level

Disable Detecting Proxy Settings Automatically

Delete Cache Contents & Temporary Internet Files

Reset Google chrome to the Default Settings

Browser lags if the settings are not modified properly.Resetting the browser to the default and standard settings would help fixing it easily. To perform this action follow the easy steps given below:

Open Google Chrome.

Open Tools | Options.

Click Under the Hood tab.

Click Reset to Defaults button.

Restart it for the changes to take effects.

Re-Set Network Settings for Maximum Internet Performance

Lack of appropriate network configurations could lead to Google Chrome lagging. Re-set the network settings by enabling only those features which are really supported by your computer. Download an Internet Optimizer/System Utilities software to do this task automatically.

Disable the Automatic Tuning Level

In order to reduce browser lagging, disable the Automatic Tuning Level with the help of Command Prompt. This change will require you to restart your computer. Follow the procedure given here:

Click Start | All Programs | Accessories.

Right click Command Prompt and select Run as Administrator.

Type the following command and press ENTER:

netsh interface tcp set global autotuninglevel=disable

When finished, type Exit and press ENTER.

Reboot the system.

Disable Detecting the Proxy Settings Automatically

As default your browser detects the proxy settings automatically. Disable this technology in the following way for solving this problem:

Open Tools | Options.

Click Under the Hood dialog.

Click Change Proxy Settings | LAN Settings.

Uncheck the box called Automatically detect the settings.

Click OK until you get back to the browser.

Restart Google Chrome.

Delete Cache Contents & Temporary Internet Files

The files that are downloaded to your computer may be corrupted. Delete the contents of Google Chrome cache and its temporary internet files.

Click Tools | Options.

Click Under the Hood tab.

Click Clear Browsing Data.

Select The Beginning of time from the Obliterate the following items from drop down box.

Mark all the boxes as checked.

Click Clear Browsing Data button.



Source by A. Michelle

How Pipeline Alignment Sheets Are Important

machine learning articles

0 Comments

The transporting of crude oil and gasses are an integral part of their manufacturing. They must be mined and then somehow moved to the factory for refining. Pipelines were reportedly first made around the late nineteenth century, but pipeline alignment sheets were not developed until much later on.

The lines are generally constructed out of tubes made up of either steel or plastic. The majority are buried underground at depths of up to 48 feet. Pump stations throughout the lines are what keep the oil moving. They usually run twenty four hours a day, seven days a week, three hundred and sixty five days a year. Line operators are there to monitor the entire route. Safety inspections are done at regular intervals to look for leaking, rupturing, and other inconsistencies. These operators and inspectors are trained to be prepared for any emergency. They can easily shut down a line or section of it if the need arises.

Many other materials can be transported this way as well, not just oil. Such materials as water, hydrogen, bio fuels, sewage, and even in some particular cases beers on a smaller scale can be moved down these lines. Some are designed to transport two different products at the same time. Normally the products are not separated in the line itself. Needless to say the possibilities are endless!

There are several components that make up each line system. At the beginning you will find the injection station, where the material is actually pumped in. Then there are the compression valves throughout the entire line that are what keep the gasses moving. Liquids are moved by pumps.

Lines are protected by valve stop stations. Sections of the line can be blocked off for maintenance. This is especially important when a leak or rupture needs to be fixed. The entire line doesn’t have to be shut down and flushed out. Engineers can now just work on that one particular area by blocking off the flow.

Regulators are used to release pressure off gas lines. These are important and are operated via valve stations. Then there is the final section, which is the outlet station. Here is where the materials will be distributed into different lines and moved to the final destination.

Several companies are offering their services to generate sheets that show the engineering data in relation to the line itself. These maps show you the entire route of the line and identifies the land masses associated with its placement. Many have different designs that are customizable using the template they provide.

Pipeline alignment sheets or maps are critical in that they provide the engineer as well as the corporate base a bird’s eye view of the line itself and all of its components. In emergency situations one would consult the sheet and be able to quickly devise a plan for cordoning off the right area and how to locate it as fast as possible. Companies can create the sheets for you, or the software is available to do your own.



Source by Darrell Surmons

App Development Trends in 2018

machine learning articles

0 Comments

2017 was another great year for app development and mobile devices. The mobile apps are in the mainstream now and an enormous number of users is already relying on latest apps. What does the future of mobile app development hold this year? 2018 will see further innovative apps coming out, along with the growth of modern technology. Following are some of the trends that will mark 2018 in the world of apps.

Artificial Intelligence

IA will mark both, the development of trends in mobile applications and the boom of their capabilities. Through the use of advanced analysis techniques, cognitive interfaces within complex systems and machine learning techniques, AI will provide powerful ideas that users have never seen before. Due to these advances, the big players like Google, IBM, eBay and Facebook have started to acquire some expert startups in Artificial Intelligence.

Augmented Reality

Augmented reality applications are already in use and will be in the limelight during 2018. These apps will be mainly oriented to games and simulators. Pokemon Go, iOnRoad, Sky Siege and myNav are some brilliant examples of Artificial Reality. Dominating the App Store, these mobile games prove that AR has a great potential to influence app trends in 2018.

Mobile Application Security

Security continues to be the main concern for developers due to the amount of personal information it stores. The overall growth of the industry, billions of users, third-party SDKs everywhere and the vast number of user information saved by companies make huge security concerns for mobile app developers across the world.

Cloud-based Applications

The mobile devices have become more complex and powerful. Now many users don’t want to install gigabyte applications on their devices. Cloud-based apps have reinterpreted the entire hierarchy of storage in mobile devices. Through cloud computing, the user can install a small app that is connected to the cloud where all data is accessible.

Internet of Things (IoT)

The Internet of Things is shaping the future trends of mobile apps so that users can handle smart tools. Analysts predict a major change in IoT. There are already apps available that allow users to manage different things from Smartphones and other digital devices. Therefore, the development of apps focused on IoT will be a clear trend in 2018.

Chatbots

The development of chatbots is a growing trend. Through them, companies seek to solve the daily problems of their customers. The demand for this type of apps will undoubtedly increase this year.



Source by Basharat K

How to Spy on a Computer Without Anyone Knowing

machine learning articles

0 Comments

If you need to know how to spy on a computer, I’ll tell you right now that it’s with software. But not all are created equal… some can spy on certain activities, but not everything. What’s more is that most do not do so invisibly – and this is the key thing here. Invisibility and stealth are paramount to the success of monitoring computer activities no matter the reasons. Why?

For example, this is not how to spy on a computer; if you’re trying to keep an eye on your kid while he’s online to make sure he doesn’t go off on some crazy bestiality porn site, it would do nothing if there’s some blinking fireball of an icon pulsating in the system task bar. He’ll clearly know he’s being watched, and go off to a friend’s house to check out some porn on his friend’s computer.

Obviously, that is not how to spy on a computer at all. In order to do so effectively, you absolutely positively need stealth. You need to be invisible, or it just ain’t happening, period. For this reason, when you seek out some software to monitor computer activities, it’s got to run silently and invisibly… like the types used by businesses who keep tabs on whether their employees are indeed working, or stealing account information and client files for their own ends. These software programs record everything, every detail, instant message, every keystroke, and hides them on secret invisible files that then get discretely e-mailed to the observer who plays it all back for view.



Source by Jimmy A Jones

Why is Photoshop So Hard?

machine learning articles

0 Comments

Many people might be wondering why learning Photoshop is so hard. They install their copy with high expectations and aspirations for making amazing pieces of art. They might want to make a stunning space scene, they may want to retouch their personal photos, or they may want to create a logo or website. Whatever it is, the majority of people often find themselves in trouble. Where do I start?

What makes Photoshop so ‘hard’ is the fact that people are expecting it to be a walk in the park: one click will give me magical results and give me my desired effect. Unfortunately, nothing in life is so easy, and Photoshop is no exception. However, once we root ourselves out of this mindset, we can start taking things seriously and truly begin to make some real stuff on Photoshop.

So where DO we start? Theres so many buttons, its so overwhelming, and I have no idea what ANYTHING does! What many people try to do is look up random tutorials on the internet. “How to swap faces” or “How to make a logo”.

The problem with this approach is that the user has no idea what they are doing, but they still somehow get the desired outcome because they mindlessly followed the steps. Sure, you may think your ‘learning’ photoshop like this, but the only thing you are truly learning is how to COPY. And I’m sure by buying Photoshop, you did not want to learn how to mimic others, you wanted artistic FREEDOM to do anything you want in photoshop.

So how do we gain this artistic freedom? We learn the ESSENTIALS, the BASICS. These fundamentals are the basis for everything you do in photoshop, and with a clear understanding of how they work and what they do, you can truly do anything in photoshop. Are you tired of being frustrated because you’ve been copying what others have been doing for so long?



Source by Hamza Siddiqui

Machine Learning: Value For Business

machine learning articles

0 Comments

Machine learning (ML) algorithms allows computers to define and apply rules which were not described explicitly by the developer.

There are quite a lot of articles devoted to machine learning algorithms. Here is an attempt to make a “helicopter view” description of how these algorithms are applied in different business areas. This list is not an exhaustive list of course.

The first point is that ML algorithms can assist people by helping them to find patterns or dependencies, which are not visible by a human.

Numeric forecasting seems to be the most well known area here. For a long time computers were actively used for predicting the behavior of financial markets. Most models were developed before the 1980s, when financial markets got access to sufficient computational power. Later these technologies spread to other industries. Since computing power is cheap now, it can be used by even small companies for all kinds of forecasting, such as traffic (people, cars, users), sales forecasting and more.

Anomaly detection algorithms help people scan lots of data and identify which cases should be checked as anomalies. In finance they can identify fraudulent transactions. In infrastructure monitoring they make it possible to identify problems before they affect business. It is used in manufacturing quality control.

The main idea here is that you should not describe each type of anomaly. You give a big list of different known cases (a learning set) to the system and system use it for anomaly identifying.

Object clustering algorithms allows to group big amount of data using wide range of meaningful criteria. A man can’t operate efficiently with more than few hundreds of object with many parameters. Machine can do clustering more efficient, for example, for customers / leads qualification, product lists segmentation, customer support cases classification etc.

Recommendations / preferences / behavior prediction algorithms gives us opportunity to be more efficient interacting with customers or users by offering them exactly what they need, even if they have not thought about it before. Recommendation systems works really bad in most of services now, but this sector will be improved rapidly very soon.

The second point is that machine learning algorithms can replace people. System makes analysis of people’s actions, build rules basing on this information (i.e. learn from people) and apply this rules acting instead of people.

First of all this is about all types of standard decisions making. There are a lot of activities which require for standard actions in standard situations. People make some “standard decisions” and escalate cases which are not standard. There are no reasons, why machines can’t do that: documents processing, cold calls, bookkeeping, first line customer support etc.

And again, the main feature here is that ML does not require for explicit rules definition. It “learns” from cases, which are already resolved by people during their work, and it makes the learning process cheaper. Such systems will save a lot of money for business owners, but many people will lose their job.

Another fruitful area is all kinds of data harvesting / web scraping. Google knows a lot. But when you need to get some aggregated structured information from the web, you still need to attract a human to do that (and there is a big chance that result will not be really good). Information aggregation, structuring and cross-validation, based on your preferences and requirements, will be automated thanks to ML. Qualitative analysis of information will still be made by people.

Finally, all this approaches can be used in almost any industry. We should take it into account, when predict the future of some markets and of our society in general.



Source by Nikolay Sidelnikov

Page 1 of 31 2 3

%d bloggers like this: