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31 August 2019

Many of us may know that machine learning is an application of artificial intelligence. This gives systems the ability to automatically learn. They also improve from experience without being explicitly programmed.

Image source : sumologic.com

Essentially, this technique focuses on the development of computer programs that can access data and then use it learn themselves. It is actually a classic method of learning that learns how to learn. All one needs to know is the basic mechanism so that one can use it well. After all, there is always a difference between making use of something and making efficient use of something. This efficiency can come only we understand it completely and know all the aspects that it, in this case, machine learning operates on.

Machine learning uses data analysis that automates analytical model building. The basic premise is that systems can learn from data, identify patterns and make decisions with minimal human intervention.Naturally, with less human intervention, there would be more growth as there would be minimal dependency of human beings. All one does need is a few human beings who program it intelligently and efficiently to not just do it once but many times and also keep learning from each experience of the machine itself. This may sound like science fiction but the fact is, this is the new reality.

Evolution of the new reality

Due to new computing technologies, machine learning today differs from machine learning of the past. When it began, it was based pattern recognition and the theory that computers can learn without being programmed to perform specific tasks. After this, scientists interested in artificial intelligence wanted to see if computers could learn from data. This aspect of machine learning is important as when machines are exposed to new data, they are able to independently adapt. Machines learn from previous computations. They after studying and analysing it, they produce reliable, repeatable decisions and results. This is not something that is new but in recent years, it  has gained fresh momentum.

Why is this important?

More interest in machine learning is due to the same factors that have made data mining and Bayesian analysis more popular than ever. Primary factors are growing volumes and varieties of available data, computational processing that is cheaper and more powerful, and affordable data storage.

Taken together as all of this is happening at the same time, it means that it is now possible to quickly and automatically produce models that can analyze huge amount of data and deliver faster, more accurate results. Therefore, organisations are making use it. They do this by building precise models so that they have a better chance of identifying profitable opportunities – or avoiding unknown risks.

The fact is many machine learning algorithms have indeed been around for a long time. However, the ability to automatically apply complex mathematical calculations to huge amounts of data that is known as big data – over and over, faster and faster – is a recent development. Here are a few widely publicized examples of machine learning applications we may be familiar with. In fact, the beauty of machine learning is that many of us are using it without even knowing this is what we are using. 
For instance,

  • The heavily hyped, self-driving Google car? This is the essence of machine learning.
  • Recommendation that are given online to offers such as those from Amazon and Netflix? This is Machine learning applications for everyday life.
  • Customer views about you on Twitter? This is machine learning combined with linguistic rule creation.
  • Fraud detection? This is one of the very important uses of machine learning in our world today.

In Sum
Learning now encompasses deep learning everywhere in the digital world. This is nothing but a part of machine learning concerned with algorithms inspired by the structure and function of the brain called artificial neural networks. Now, this is a complex subject but we must know that though termed ‘artificial’, neural networks are modelled on the human brain.
This is bound to become a success as the human brain is indeed the best machine of all. So, it does make sense to get guidance and inspiration from this wonderful machine. We need to understand this as this is what artificial intelligence itself is all about.  No wonder it is a field that is creating more and more interest everywhere and redefining the way we live, work and exist.

We know that we as a species are not the most powerful of all, mainly because of the brain.       With artificial intelligence stepped in, this is bound to catapult and take us even further in all that we can do.

For its just about machines but using the machines in the most effective manner.
AI, primarily in the form of deep-learning algorithms running on powerful graphics processing chips, is already widely used in enterprises, which will become increasingly data-driven as computing resources continue their historic price/performance/availability trends and the algorithms become ever more sophisticated.
Currently, people are divided on the effect that widespread AI adoption will have on the job market and workplace culture. What is certain is that AI will continue to develop rapidly and that possible economic and social upheaval needs to be on the political agenda.
As far as AI is concerned, we are definitely living in what is known as 'interesting times'.
To fit in here, we definitely need to embrace machine learning and all the skills we can learn through it and from it.
This is does require the passion to learn and keep learning. For this world keeps changing and we need to move with it to grow and succeed.
In that sense, learning machine learning is as essential as learning to walk in the digital era. The good news is that we can begin anytime from anywhere we are placed to enter in this arena.

Though this may sound cliched, we must examine what are we waiting for to succeed in this open, highly welcoming domain.


30 August 2019


We must know that we do need to advertise on Facebook in the social media age, to be present and visible in the digital world that we inhabit.

Image source : www.socialexplorer.com
The great news is that promoting one’s business on Facebook is extremely easy and we can get started in just a few minutes.

Though this is easy, we must know that like anything else, there’s a difference between “doing it” and “doing it well”.

Again doing it well is something we shall guide you in. Here, our goal should be clear so that we focus on this. One there is clarity that we need to be clear that being successful with Facebook advertising is our primary goal, we shall give it the necessary attention and made a proper strategy.

We shall now cover everything we need to get started with Facebook advertising, from choosing the right type of ad to managing and analyzing campaigns.

Why should we advertise on Facebook?
In the modern era, all people in the modern digital world know that Facebook advertising is a good idea for our business. Just in case we need a little extra convincing, we need to consider the following:
·         Eighty percent of all internet users are using Facebook. In this scenario, ir is evident that one should focus intensively on Facebook. The key after all, is knowing what platform our customers are on and how best to reach them. With 80% of all internet users on Facebook, we can surely assume that we will find them there.
·         Social Media is one of the least expensive forms of advertising available and Facebook might have the best return of any platform. This is due, in part, to the awesome targeting capabilities of Facebook’s Ad Manager. Don’t worry, we’ll get to more on that in a little bit.
·         Facebook advertising also stands out from other forms of online (and offline) advertising in that there are few, if any, hidden or extra costs. For example, if you’re planning on sending coupons by direct mail, there are a LOT of costs to consider. You have to print the coupon, pay someone to stuff envelopes, pay for those envelopes, etc. Oh, and let’s not forget about paying for stamps! Social media ads allow us to set our precise budget and stay within it.
Need we say more? Alright, let’s dive into the good stuff then.
Choosing a Goal (Facebook Ad Objectives)
Facebook’s Ad Manager prompts you to select an “Ad Objective” for every Ad Campaign you create, where you can choose one of 13 different campaign goals:
Video Views
To get people to watch your amazing videos. Really inexpensive when compared to other objectives, and when used together with a good creative, it can drive a lot of qualified traffic, since your leads will be better informed about your product.
The reach objective is going to try to expose your ad to as many people in the targeted audience as possible. The goal of this objective is to try to maximize exposure, period.
Most useful if your goal is to send traffic to your website or app install page. Good for when you have a long sales funnel/buyer journey (when you don’t expect to convert prospects on the first interaction).
Increase your page or post likes, shares, etc. Can be a good way to build some social proof or use it as a remarketing tool.
Lead Generation
The best option when you have to sell something – if you use it together with the right content, can be directed towards all funnel stages.
Get people to take a specific action on your website such as making a purchase, subscribing to a list, etc. Incredibly powerful, but needs to target the correct funnel stage (don’t use it to target top of the funnel audiences, since they are still not ready to convert at this stage).
Brand Awareness
The objective of brand awareness is geared toward introducing our brand to the untapped, awaiting masses! (think about “ad recall”).
This is Great for engagement, since it encourages people to contact us by using Facebook Messenger.
Page Likes
This is very straightforward. The objective is to generate more likes to our Facebook Page.
Event Response
For promoting an event (one that has a Facebook Page and Event) and drive attendance to it.
Store Traffic
For those of us who have a physical storefront, this objective will drive local awareness for one or multiple brick-and-mortar locations.
Catalog Sales
To be used by eCommerce owners that have a catalog of products connected to their Facebook Business Manager.
App Install
We need to get more people to install our app.
In other words, we need to choose our objective wisely and make sure it aligns with what we are really trying to accomplish.  

The sky’s the limit so all we need to do is to start flying.

28 August 2019

This new release is an industrialized version of the open-source Acumos platform. Acumos is co-created by Tech Mahindra & AT&T and available under LF AI, an umbrella foundation of the Linux Foundation that supports open source innovation in artificial intelligence, machine learning, and deep learning. It has been announced for release by Tech Mahindra

Image caption :: www.simplilearn.com
Tech Mahindra announced the release of GAiA 2.0, the latest version of its Enterprise Artificial Intelligence (AI) and Machine Learning (ML) lifecycle management platform GAiA, powered by Acumos.

AI in general is evolving at a rapid pace and this is another dimension of this rapid evolution. In general, we all need to keep in pace with these developments as we need to fit in completely in this rapidly evolving industry. If at one time, it were various industries who were setting the pace, it is now the brain that is epitomised by AI.

Here, all companies are trying to make their mark felt and now it is TechMahindra that has been a key player here for many years. The company states that Gaia 2.0 will enable comprehensive AI and ML driven platform capabilities and services to be deployed across enterprises.

Learning as we can see now encompasses deep learning everywhere.  Deep learning as many of know is a subfield of machine learning concerned with algorithms inspired by the structure and function of the brain called artificial neural networks.

This is bound to become a success as the human brain is indeed the best machine of all. So, it does make sense to get guidance and inspiration from this wonderful machine. To make complete use of it, we need to understand this mechanism which is what artificial intelligence itself is all about.  No wonder it is a field that is creating more and more interest everywhere and redefining the way we live, work and exist.
We know that we as a species are not the most powerful of all. It is our brain that has made us rule the world. With artificial intelligence stepped in, this is bound to catapult and take us even further in all that we can do.

This is why we welcome the introduction of Gaia-2-0 that makes it easy for all to enter this domain. Of course, one does need to make note of it and step in to be part of this new, emerging world.

We do feel that all students and faculty should be aware and oriented in the new emerging world which is why we recommend orientation in the digital world to all.

For the digital world is not just about machines but using the machines in the most effective manner. This is really what true development is all about. Learning, relearning and having an open mind to keep innovating with new introductions. Compared to all other things, technology indeed makes it much easier for all to keep reinventing themselves and have am evolving digital identity. The new competition is therefore all about people who make this a part of themselves and their team. This is why we see all companies striving to make news in innovations all the time. This is exactly what TechMahindra has done with its new innovation and we welcome it as it shall benefit many.
Now, this newly introduced technology will enable comprehensive AI and ML driven platform capabilities and services to be deployed across mainstream, optimizing enterprise operations in real time across industry verticals. This model offers a marketplace that consists of enriched models and numerous features to empower enterprises across industry verticals to build, manage, share and rapidly deploy AI and ML driven services and applications addressing critical business problems.

Manish Vyas, president, Communications, Media & Entertainment Business and CEO, Network Services, Tech Mahindra, said, “GAiA 2.0 is a reinvention based on insights and feedback received for the initial version. We have now incorporated features such as Jupyter Notebook Integration, AutoML support, Model Validation, Security and Governance that add extremely high value to business transformation journey of an enterprise, by unlocking and delivering superior connected experiences. Tech Mahindra with proven expertise in leveraging digital technologies will help foster collaborative innovation by democratizing Artificial Intelligence and Machine Learning.”

GAiA 2.0 supports most of the commonly used AI/ML development frameworks & toolkits including Python, Sci-kit learn, H20-Java, R, Tensorflow and Keras. Tech Mahindra will also offer numerous professional services to help enterprises realize AI/ML objectives, including Platform Setup & Deployment, Features Customization, As part of its TechMNxt charter, Tech Mahindra continues to design new GAiA features to leverage next generation technologies like support for additional ML frameworks, Model training Enhancements, Data pipelines & Notebook Enhancements, Support for ONAP, API-fication for Model-as-a-service and Platform-as-a-service capabilities.

Jamil Chawki, Intrapreneur CEO, Orange AI Marketplace and Chairman of LF AI Outreach Committee, said, “The availability of vendor enterprise grade solution is a key element to accelerate the adoption of LF AI open source projects. GAiA, powered by the LF AI Acumos AI project, will help enterprises to publish AI models in a company catalog and deploy AI applications for any vertical use case. We are happy to see new features and tools in GAiA 2.0 such as security and model scoring, integration of Jupyter notebook, support of AutoML and the onboarding of new AI Deep Learning ONNX format“

Dr. Ibrahim Haddad, Executive Director of the LF AI Foundation, said, “We’re very excited to see commercial deployment of the second Acumos release – code named Boreas – taking full advantage of new features and enhancements addressing the real need of expanding AI uses within enterprises beyond specialty areas. Tech Mahindra has been a participant in LF AI and a strong contributor to the Acumos project.”

GAiA is an industrialized version of the open-source Acumos platform. Acumos is co-created by Tech Mahindra & AT&T and available under LF AI, an umbrella foundation of the Linux Foundation that supports open source innovation in artificial intelligence, machine learning, and deep learning.

References : Data Quest

22 August 2019

Social Media Marketing (SMM) has arrived. We need to make use of some key tools here. We bring information about these to you.


Later is known as premium social media marketing tools to plan your visual content marketing.It’s an easy-to-use tool to schedule and manage your Instagram posts via any devices such as the computer, iPhone, tablet or android so that you can manage your account from anywhere. It has an ability to add team members and this is a keynote in this particular social media marketing tool.

Free Plan: Available
It has a  free plan that allows you to publish up to 30 posts and 2 reposts per month on an Instagram profile. There are also a couple of things such as it helps to socialize with Facebook, Twitter, and other marketing tools as well.

Other Premium Plans:
For Individuals: 9$
For Businesses: 19$, 29$, 49$

Ocktopost is a social media management tool which is specifically designed for B2B companies.It allows you to curate engaging content, schedule it and then measure its effectiveness. Also, with this tool, you can listen to the social conversations that are really important for the growth of your business. It has a unique ability to manage large social media teams. This is a major plus point for this tool.

Free Plan: No (Demo Available)

Pricing is determined by the organizational structure of your company (number of marketing teams), user seats, social advocates, and social profiles, with additional features such as Marketing Automation integration and Twitter Insights available for purchase.

Tagboard is one of the best social listening tools. It is extremely easy to use as all you have to do is plug in a term, topic, or hashtag, and you’ll see how that topic has been discussed in the social sphere. The tool furnishes an advanced way to monitor your brand and product mentions. It is also good at  generating new content creation ideas & audience engagement strategies.

Free Plan: No
Other Premium Plans: $500/month

This tool is particularly designed for Twitter. It is actually one of the most in-depth and useful tools on this list. It helps you to understand and optimize your Twitter audience. It is also adept at suggesting people for you to follow which ultimately help you grow your audience. We must know that if  Twitter is part of our social media marketing strategies, this tool is a must-have.

Free Plan: This allows you you to do 50 profile searches and 20 analyses per day.
Other Premium Plans: $ 29/month & $ 79/month

This tool makes it easy to analyse all content all in one place by pulling together relevant multimedia from all the social media channels such as YouTube, Instagram, Flickr, RSS feeds, and more. Using this, we can schedule your posts and customize them to suit the audience of each of your social platforms. That way, we are able to maximize the effectiveness of each and every post.

Free Plan: This allows you to connect only 1 channel
Other Premium Plans:
Pro: $9.99/m
Plus: $29.99/mo
Advanced: $49.99/mo
Team: $99.99/mo

It is best known as a content discovery tool, like BuzzSumo, but its working is a little different. This is a content aggregator, and you can use it to collect content from any number of different areas, combining your ideal reading material into a single feed that you can peruse at your leisure.

Free Plan: This allows Up to 100 sources & 3 feeds
Other Premium Plans:
Pro: $5/m
Team: $18/mo

This allows you to shorten any URL so that it fits nicely across your social media channels. These URLs then work with any channel on any platform. It enables you to even track your campaign results with individual link analytics, and then optimize your marketing efforts based on the insights you collect

Free Plan: Yes

This  analyzes every type of headline. It converts and tells you the right number of words and balances which can be used for your type of audience. It also suggests the optimal character length and creates easy to digest headlines for your readers.


This is a tool that helps you to succeed on Pinterest and Instagram. It helps you optimise Pinterest, where you can pin to multiple boards at once, bulk upload, and schedule posts with the drag-and-drop calendar. If you want to give it a spin, you can try it out for free.

Free Plan: Yes
Other Premium Plans: $119.88/yr

This is an all-in-one social media marketing tool to help managers better control their efforts. It features include multi-level access, allowing directorial control, and access from lower-level team members to better coordinate and delegate tasks.It comes with full post scheduling capabilities, a detailed analytics platform. It even has a social listening platform to better understand how your demographics use your platforms of choice.

We shall give you some more shortly. 

21 August 2019


Marketers have depended on tools and technology to automate their work and reduce the manual effort for a while. Yet, there has always been a gap in terms of effort and quantifiable results.

Image Source : audienceplanet.com

Intuition on the right audience and time to send messages aren’t enough to answer a digital marketer’s basic questions. Who should I reach out to? What should I send? When should I send the message? Over what channel?

The answer to these questions is the key to creating engagement and growth, fostering sales and building a brand. As these questions remain unanswered for marketers across the spectrum, there is another growing trend that can help them get these answers, and that is big data. Data is everywhere. Every customer in the digital space brings with them an amalgamation of data and is constantly creating new data for marketers to understand, process and act on. The problem is this: big chunks of data don’t necessarily make things any easier. They usually make things so complicated that the first instinct is to abandon the data and go by intuition alone – but this won’t give you the right results. This is where AI comes in. Artificial Intelligence and machine learning can understand human behavior to the extent where not only are big data sets analyzed, segmented and filtered, but meaning is also derived from them. Earlier, not so long ago, marketers were somewhat reluctant to incorporate artificial intelligence (AI) in their digital marketing strategies. But this year they’ve gained a lot more confidence in using AI since its ambiguity has been reduced with respect to the results it can provide. These intelligent tools keep evolving more and more and are even reaching a point in which they are able to surpass humans in certain aspects like we’re about to see.

In a survey taken by over 1,600 professionals dedicated to marketing, 61% of those surveyed (without considering the size of their company) mentioned that both artificial intelligence and machine learning will be the most important data initiatives next year (source: MeMSQL).

Yet another research by Salesforce indicated that 51% of marketers are already using AI, and 27% more are even planning on incorporating this technology in 2019. This represents the highest expected year-after-year growth of all emerging technologies that marketers are considering adopting next year, surpassing even the Internet of Things (IoT) and marketing automatization.

And, while the amount of information on potential consumers grows, computer sciences related to AI (like machine learning, deep learning and natural language processing [NPL]), will be of utmost importance when making data-based decisions.Some of the areas where AI could be beneficial are :-

1. Create and Generate Content

What? A machine that writes by itself and creates content from scratch? This may seem impossible but this is not the case.Even though AI still can’t write its own political opinion for a newspaper column or a blog post on the best and most practical advice for a specific industry, there are certain areas in which AI can be useful. It helps people save lots of time and resources. In today’s world, AI is often used to write reports and news based on data and information.

Intelligent tools like Wordsmith, Articoolo, and Quill are already being used by the Associated Press and Forbes to create news, which leads to clicks on their websites. Using templates and fill-in-the-blanks to enter data and keywords can create unique content that gives the impression a human wrote it. So, you’ve probably read content that was generated by AI since BBC, CBS, the New York Times and Reuters are also implementing this technology.

Further, many articles in the Washington Post are already credited with artificial intelligence technology, Heliograf.

2. Content Curation

Apart from generating content, AI can also curate it. Through this, artificial intelligence makes it possible to better connect with visitors on certain websites and show them more relevant content.

This is often used to make personalized content recommendations that the user may find interesting, such as the typical, “people who buy X also buy Y,” like we constantly see on Amazon.

Using AI, Netflix’s recommendation system also gives us suggestions for movies and TV shows you might find interesting. And it’s pretty accurate!

Now, the question is: How can you benefit from it? Imagine showing each of your blog’s visitors articles that are more relevant to them, based on posts and topics they’ve already looked at on your blog. They’d definitely spend more time on it.

3. Email Marketing

Brands now use the power of AI to personalize email marketing campaigns based on preferences and user behaviors. This makes it possible to better connect with them and, with a bit of luck, turn them into clients.

Machine learning or automatic learning can analyze millions of data about the consumer to then determine the best times and days of the week to contact the user, the recommended frequency, the content that catches their attention the most, and which email subjects and titles generate more clicks. Wouldn’t you love to know all about this so you can launch the main metrics of your digital marketing campaigns?
Certain tests take time and can have a certain margin of error. So, in this sense, AI becomes your best friend in personalizing email content for each subscriber.BoomtrainPhrasee, and Persado are some tools that AI applies to email marketing. 

According to Phrasee, its generation of email subject lines surpasses those of a human by over 95%. Persado even says that its cognitive content exceeds what a human could do 100% of the time.

4. Digital Advertising

In the area of digital marketing, it is advertising that has most successfully adopted artificial intelligence.

We know that Facebook and Google ad platforms already use machine learning and artificial intelligence to find people more prone to making the advertiser’s desired action. They analyze all the user’s information to learn and detect the best audience for their brand.

Google AdWords already has an automatic auction-based system that lets advertisers pay the lowest possible cost per conversion.

There’re also already platforms that incorporate AI and the analysis of big data candidates in their processes… but wait until we tell you about Adext.

Adext is an Audience Management as a Service (AMaaS) that uses deep, transfer and machine learning to automate the handling and optimization of your ads on platforms like Google AdWords and Facebook Ads. This means that, in addition to testing different audiences on each ad (up to 480 everyday!) to detect the one most likely to make the desired action or conversion it identifies and learns which platforms are most profitable and then channel the investment toward them.

Its intelligent algorithms adjust and optimize budgets every hour so that the advertiser can obtain the highest sustained conversion rate (which is guaranteed under contract, or else the software is free). On an average, its increasing ads performance by 83% in just 10 days!

5. Searches

The way users perform online searches has changed. So, now we must ask ourselves how this will affect the way in which marketers create and optimize their web content.There have been two big advances in artificial intelligence that revolutionized Internet searches and search engine optimization (SEO): voice search and Google’s algorithm, RankBrain.

Innovations like Amazon Echo, Google Home, Apple’s Siri, and Microsoft’s Cortana make it easy for people to perform searches by just pressing a button or saying a voice command.

Google’s machine learning algorithm, RankBrain, was created to get much more relevant search results. It interprets the user’s voice searches and, using the power of AI, provides the user with the best results according to what it interpreted from the user’s language and context.

Voice searches require marketers to adapt their content so that it’s closer to the way a user would verbally express themselves. So, in this sense, those famous long-tail keywords will be replaced with more conversational keywords, based on the way the user would say something or do a voice search. Someone who truly knows how to benefit from voice searches will be able to considerably increase their organic traffic.

6. Web Design

If we thought a good website couldn’t exist without the help of a programmer and designer, this is a thing of the past.

There are applications, like Grid, that use artificial intelligence to design a website based on user-provided information (like images, text, calls-to-action, etc.). They can make the website look professional in much less time and at an unbeatable price.

7. User Experience (UX)

Through intelligent algorithms, it’s possible to personalize an experience on a website. After analyzing thousands of data on a single user (including location, demographics, devices, interaction with the site, etc.), AI can display offers and content that are more appropriate for each user type.

A 2017 Evergage survey showed that 33% of the marketers surveyed used AI to provide personalized web experiences. And, when they were asked about the benefits of personalization driven by AI, 63% responded that it increased conversion rates and improved the consumer’s experience.

It’s true: a good user experience is what keeps an audience browsing a site and, the more time they spend on it, the higher the probability of a conversion.

In this sense, one of the many possibilities that AI offers to make the user experience more user-friendly are chatbots, which we’ll talk about now.

8. Chatbots

Many have started to communicate with their prospects through messenger applications like WhatsApp, Facebook Messenger, and Slack. They’re fast since consumers are already using these tools to chat with friends and colleagues and, let’s get real, no one likes to wait for a response on the phone.

Chatbots are making the process of automating responses to potential buyers’ frequently asked questions even easier by providing them with a way to search for the product or service they’re looking for.

A good indicator of a chatbot powered by AI is its ability to answer open questions. These bots use natural learning processing and machine learning to find the correct response.

Chatbots also have many other advantages. They are available to their clients 24/7 and retain their data. They’re friendly and never lose their patience. Customers may get angry, but the bot always treats them well. Chatbots can respond to several requests from different customers at the same time, so waiting times will no longer be a problem.

For instance, Sephora uses a chatbot to give beauty advice to its users and offer them the best cosmetic products according to their needs.  It has an application that lets its potential clients “test” cosmetic products like lipsticks, eyeshadows, and highlighting pallets. Visual Artist is able to identify facial features and then uses augmented reality to apply the selected product to the user’s photograph. It automatically applies an eyeshadow suggestion based on the skin tone of the consumer!

In Sum

These are just some of the areas where AI is making its mark felt. We are certain this is only going to increase.

References ::

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