The Math Behind The 5-Hour Rule: Why You Need To Learn 1 Hour Per Day Just To Stay Relevant – Michael Simmons


Three years ago, I coined the term The 5-Hour Rule after researching the most successful, busy people in the world and finding that they shared a pattern: They devoted at least 5 hours a week to deliberate learning. Since then, I’ve preached The 5-Hour Rule to more than 10 million readers. The reason I keep writing about it is two-fold..I believe it’s the single most critical practice we all can adopt to ensure our long-term career success, Almost no one takes this rule as seriously as they should…Recently, I’ve realized that The 5-Hour Rule is more than just a pattern. It’s more like a fundamental law in our current age of knowledge. And it’s backed up by basic math and a growing body of research……..

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Business Does Not Need the Humanities But Humans Do – Gianpiero Petriglieri


Sometimes a simple story is all it takes to capture complex issues, or so it seems. Take this one. A few years ago, Facebook CEO Mark Zuckerberg lost a game of Scrabble to a friend’s teenage daughter. “Before they played a second game, he wrote a simple computer program that would look up his letters in the dictionary so that he could choose from all possible words,” wrote New Yorker reporter Evan Osnos. As the girl told it to Osnos, “During the game in which I was playing the program, everyone around us was taking sides: Team Human and Team Machine………..

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How Will Artificial Intelligence Change The Legal System – Christian Haigh


How will AI, machine learning, and big data affect the legal system as technology improves? originally appeared on Quora: the place to gain and share knowledge, empowering people to learn from others and better understand the world.

Answer by Christian Haigh, Co-founder, Legalist, on Quora:

For a long time, lawyers believed they couldn’t be replaced by machines.

It’s true: the legal industry over the past decade has amassed a graveyard of failed attempts to innovate and few large exits. It’s also true that legal arguments can be highly case-specific and not necessarily conducive to automation.

But asking whether individual lawyers can be entirely replaced by machines isn’t asking the right question. Rather, can one lawyer, augmented by machines, perform the same work that five lawyers used to do?

Easily. It’s already happening.

When Curtis, our General Counsel started his career, he and other associates at his law firm would physically go to the offices of the defendant and take evidence for discovery. When he started his law firm, he owned his own servers. E-discovery did not exist. The cloud was not widely used. You needed teams of associates just to go to the law library and do research.

As a business, you needed a lawyer just to draft incorporation documents.

Change rarely comes in the forms that we would expect. Companies like LegalZoom provide free legal resources. Axiom provides remote lawyers on demand. At Legalist, our engineers supplement our business team and allow us to punch above our weight compared to every other litigation funding company in the industry. That’s because of our technology.

This question originally appeared on Quora – the place to gain and share knowledge, empowering people to learn from others and better understand the world. You can follow Quora on Twitter, Facebook, and Google+. More questions:

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Understanding the New Age Mechanics Behind Content Marketing – Nancy Kapur

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Can machines think?’ The  question first asked by Alan Turing in 1950 is mainstream today.  Artificial Intelligence (AI) has come a long way since the middle of the 20th century, when it was conceived, and is poised  to play a major role in marketing. How much have the computers evolved? A lot. They have defeated a Russian chess grandmaster, written a complete sci-fi screenplay and they provide suggestions when we use search engines.

Why are we experiencing a paradigm shift?

Machine learning algorithms have allowed marketers to analyze and evaluate data and provide a superior customer experience. With the emergence and development of AI, content marketing is experiencing a paradigm shift.

How do we define machine learning?

Machine learning is a continuous process in which a computer is programmed to analyze and learn from user input. The data and information the users share allow machines to predict market trends.

How does Artificial Intelligence work?

AI refers to the machines that have the capability to mimic learning processes. They are notable for learning novel concepts and providing solutions to the problems previously not encountered. It is already playing an important role in content marketing and has helped scores of marketers streamline their processes.

When do content marketing processes change?

Content marketing processes evolve. Today, we can find hyper-focussed pages and long blog posts aimed at personalized advertising. Google has launched an array of machine learning updates that must be taken into consideration. Nearly 31% of organizations are expected to implement AI in their processes by the end of 2018, according to Adobe.

Why should marketers embrace Artificial Intelligence?

According to Cisco, the virtual and augmented reality sector is expected to experience a growth of 82% between 2018 and 2021. Artificial intelligence is helping marketers decipher the ever-changing world of content marketing. It analyzes user data and provides assistance in making  sense of user intent. Artificial intelligence is affecting the mechanics of content marketing in different ways. Let us try to understand the reasons behind this disruption.

The demand for content is high: The demand for content is ever-increasing and there are no signs of it slowing down. To meet this demand, thousands of writers are required across the globe. They have to be on their toes 24/7 in order to create content that can provide future-ready, unique experiences to readers.

  1. There is too much content to manage: With the astronomical amount of information on the web, the use of AI won’t remain restricted to content creation. It will be used by organizations to summarize, curate and facilitate results across different content management systems, thus optimizing SEO, improving metadata, and facilitating the discovery of existing content.
  2. Content is becoming a successful sales representative: A large chunk of brands are focusing on content creation to sell their products. Content eliminates the need for sales representatives and provides in-depth information about a product or service. Machines are learning through user interaction and this has lead to technical content creation. A whopping 53% of users are comfortable consulting manuals over salespeople.
  3. The age of secure content is coming: With Europe’s General Data Protection Regulation (GDPR) coming into force on 25 May, 2018, businesses will be liable to be transparent in data collection practices. Proactive organizations will be a part of the seismic shift and embrace content automation to thrive.

Mechanics behind content marketing in 2018

According to the International Data Corporation (IDC), AI growth rate will rise to a whopping 50.1%, reaching an estimated value of $57.6 billion by 2021. AI and machine learning are allowing marketers to decipher the world of content marketing like never before. In the future, we can expect the following mechanics to dominate:

  1. Content Automation: AI will allow marketers to generate content automatically, especially short and simple stories. After deciphering user responses, an AI willgenerate updates and report seamlessly and accurately. Machines have been generating automated content for years and some of the prominent players in this segment include Yahoo and Fox.
  2. Content Curation: Curating content is as important as automating content. It is a daunting task and consumes a significant amount of time and energy. One of the goals of generating content is to move a prospect through different stages and influence them to buy your product. AI helps generate relevant content for the different stages of your marketing funnel. With higher engagement, you increase the chances of a conversion.
  3. The Rise of Chatbots: Chatbots are AI-driven computer programs that mimic conversations with end users. Many organizations are using chatbots in their messaging apps. Some prominent players using chatbots include Facebook Messenger and Uber. You can send promotional content using Facebook Messenger if the users give their consent and you can request a ride without opening the app. Chatbots are the key to streamlining customer support processes and allow users to get answers while they are still entering their queries.
  4. Predictive Analysis: Predictive intelligence allows companies to understand their customers individually and personalize content. It makes for a fast-track sales mechanism and improves the conversion rate by analyzing past behavior. It also helps them understand the buyer’s journey andmarket the right content to specific customers.
  5. Customized Content Marketing: Social networks like Facebook, Instagram, and Twitter use AI to determine your interests and display content. They analyze multiple variables and try to provide users with relevant content. Marketers can use this analysis to showcase related advertisements and achieve higher customer engagement. According to BrightEdge, consumer personalization is the next big trend at 29%, with AI catching up at 26%.
  6. Enhanced User Experience: Having an intelligent computer to resolve user queries without the need of filling out a form is a dream. Chatbots inside messaging apps can provide users with an enhanced experience. They analyze the preferences using small series of questions and suggest recommendations accordingly. This allows marketers to create a world of possibilities for personalized marketing.


Overall spending on AI will rise from $2 billion a year in 2018 to $7.3 billion annually in 2022. Artificial intelligence will allow marketers to focus their attention on customer needs in real time. Implementing algorithms in content marketing will help them create the right strategies across different platforms. This AI-driven scenario will boost the chances of improving sales manifold and right now it certainly seems to be the future of marketing.

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Difference between Machine Learning, Data Science, AI, Deep Learning, and Statistics | Educational technology , Erate, Broadband and Connectivity

In this article, I clarify the various roles of the data scientist, and how data science compares and overlaps with related fields such as machine learning, de…

Source: Difference between Machine Learning, Data Science, AI, Deep Learning, and Statistics | Educational technology , Erate, Broadband and Connectivity

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