UNSUPERVISED MACHINE LEARNING TO IMPROVE DATA QUALITY

| August 3, 2020

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When preparing data, I often go through many different approaches to reach a level of quality of data that can provide accurate results. In this article, I describe how unsupervised ML can help in data preparation for machine learning projects and how it helps to get more accurate business insights. What’s Wrong with Traditional Data Preparation Approaches? For accurate predictions, the data must not only be properly labeled, de-deputed, broad, consistent, etc. The point is that the machine learning model should process the “right” data. It is not entirely clear what are the criteria of the “right” data.

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BlueVoyant

BlueVoyant is an analytics-driven cybersecurity company based in New York City, whose mission is to defend businesses around the world against agile and well-financed cyber attackers by providing unparalleled visibility, insight and responsiveness. The company was founded by leaders from Morgan Stanley, Thomson Reuters, the NSA, the FBI, Unit 8200 and GCHQ to protect the global economy from the increased risk of cyberattack and give private sector organizations the same level of cybersecurity defense capabilities that the best-protected institutions enjoy.

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TOP 5 TIPS FOR ADOPTING ENTERPRISE MACHINE LEARNING

Article | June 18, 2020

When you first got your business off the ground, you may or may not have paid much attention to the technologies that would be available to you in the years to come—like machine learning. Machine learning was the stuff of science fiction just decades ago; now it’s practically everywhere. So, what is machine learning? Simply put, machine learning is a subset of artificial intelligence in which computer algorithms learn from large datasets in order to make more accurate predictions over time. Obviously, it’s a lot more complicated than that, but it poses numerous benefits to business owners—assuming it’s used the right way. Here are five tips for successfully adopting machine learning technologies in your day-to-day operations.

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How AI and Marketing Automation are Fueling Content Creation

Article | July 23, 2021

The content market industry is growing rapidly. The US spent almost $10 billion on content in 2016. And with the merge of technology and content, this figure has multiplied several times. As a result, humans can concentrate on creativity while machines assist them in beautifying their work. The machines that we are going to talk about are AI-driven content marketing platforms for content creation, curation, and distribution. We will also let you know whether the world of writers is going to be extinguished or not! Content creation needs to be unique. There are numerous articles, blogs, listicles, etc., written on the same topic. So what do you need to do to make your content stand out? You might be thinking of SEO, personalization, target audience, and error-free content. But when all this is carried out manually, it turns out to be a daunting task. What if we tell you that the AI industry has revolutionized the content sector. Machines assist in content creation, curation, personalization, prediction, SEO analysis, keyword search, and everything you can think of. What is AI Content Creation? More than 2.5 quintillion bytes of data are created every day! Imagine the uniqueness your content needs to define to stay ahead in the race. The competition is unbelievable! This is where AI and automation meet content marketing. AI content creation helps to create, polish, personalize, distribute, and market user-centric content. AI uses predictive analysis, natural language process (NLP), natural language generation (NLG), and business intelligence to understand a buyer’s journey. AI helps in creating an efficient content strategy for the writers. It also assists them in using the right keywords and publishing on the right platforms. Moreover, content that is checked by the AI content creation algorithm has the least or no possibilities of errors. Below are the benefits of AI content creation and how it plays a significant role in shaping the future of content writing. Benefits of AI content creation Predictive Intelligence Predictive Intelligence is predicting the customer’s behavior and serving them precisely what they are looking for. It also helps the buyer to navigate to the things exclusive based on their browsing patterns. For example, if a customer is looking for casual shoes and has put the chosen ones in the cart, the AI-powered algorithm will suggest some socks to go with the shoes. The algorithm is designed so that based on the shoe size, color, and brand, it suggests the best pair of socks! And when this role is played in content creation, predictive intelligence suggests words, sentences, synonyms to create excellent content. When you have a process that foretells you the buyer’s journey, it becomes easy to create personalized content and yield the best results. Data-Driven Insights A study has proved that 90% of the customers get converted based on personalized AI content. AI-driven content marketing tools help gather all the customer's activity online and then give them the relevant suggestions. AI content creation tools compare your content with the competitor’s content and your previous works and performances. Based on that, it predicts the content to be framed. Finally, it recommends words and phrases to frame innovative, data-driven content. AI content creation helps in increasing your brand value and reach your target audience effortlessly. Chatbots for Customer Service Chatbots as customer service representatives are immensely successful. Chatbots are like a virtual friend that meets the customer. They not only provide information but also interact with the customers for fun. Chatbots are trained to have a conversation just like humans. They ask about feelings and then have a one-to-one conversation about ways to feel better. For example, when a chatbot is used to book a test drive for a car, it notes the personal details and saves the date for the concerned person and the customer on the calendar. That is pretty much robotic. But in the end, it tells you to have a pleasant drive and not to forget to wear your seatbelt! This is where it connects with the customer. Thus, chatbots can help promote content, navigate customers to the correct pages, and are more likely to fulfill the conversion goal. Examples of AI Content Creation Applications Twinword Twinword is one of the examples of AI-powered keyword research tools. It speeds up the keyword research process and provides the most curated list of LSI, long-tail, short-tail keywords. It understands the customer’s intent and provides you with the target keywords. Articoloo It is one of the Automated AI Content tools used to write articles, blogs, and other relevant content. It has been said to deliver content with the most competitive keywords and a proper understanding of the industry dynamics. In addition, it creates high-quality content which is almost 90% unique. Grammarly The AI-powered tool does more than grammar checks. It checks your article's tone and gives you options to improve or change words, sentences, length, etc., according to the audience. It frames sentences, gives synonyms, and also creates your writing graph. It shows how your writing has evolved with time and keeps on assisting to improve your writing. This is one AI tool that has been widely used by writers and is a proven success. MarketMuse This tool analyses your content and makes it ready for the competitive market. It minutely analyses your content for SEO and content research and gives appropriate suggestions for keywords and content optimization. It also has a keen eye on keyword intensity. Thus, it is the best tool to automate content marketing and keep you ahead of the race! Onespot This tool provides excellent AI Content and User Experiences across multiple platforms. It tracks the buyer’s journey, analyses the user’s behavior on your website, and then automates a personalized experience for the customer. In addition, it generates e-mails and newsletters for the customers for an enriched experience. All the content generation is very personalized and connects readily with the target audience! These are some of the content creation services for optimization, creation, and keyword research. But there is a plethora of AI in content marketing and automated tools for content creation to choose from! Will AI replace human writers? No. AI content creation is still in the infancy phase. It can create newsletters, small articles, or emails but not valuable content like humans. However, there are AI content creation tools that are said to write almost 800 articles in a year. So if you are looking only at content generation, then yes, AI performs a better job than humans. But can machines feel and express the emotions that humans do? No matter how many trillions of words they have fed themselves, expressing emotions with the right words is still a human thing. Likewise, there are stats to prove that humans tend to take action when they feel emotionally connected. And we all know machines are practical beings! So as long as humans are social and emotional, there is no way that AI and automation can replace writers now or in the long run. It can assist humans in writing better quality, personalized and well-researched content, but never replace them. If you still have second doubts, think, did the invention of smartphones with excellent cameras, photo studios, or design studio apps like Adobe photoshop replace photographers? So relax, use AI and automation to minimize your efforts, gather data, and give you a piece of structured and well-researched content. Then use your creativity skills and enhance them by giving the human touch because that is what only a human brain can do! Frequently Asked Questions What is AI in content creation? AI is automated Insights in content creation. It helps optimize the written content according to the target audience. It uses Natural Language Generation (NLG) to create content and narratives. In addition, it can automate repetitive tasks. Once AI creates the content, a human writer can enhance and personalize it accordingly. How does AI help in content creation? AI provides an in-depth analysis of the content, website, and target audience. Based on this research, creates and suggests changes in the content. This in-depth research of AI helps deliver valuable and personalized content to the target audience with the right set of keywords. How do you automate content creation? Content creation can be automated with the use of automation tools. These tools recommend the topic, keyword, and tone of the article to be written. In addition, they assist the writer with the correct grammar, synonyms, and keyword predictions. If it is a technical article, the automated tool can write the entire article with no errors. Examples of such tools are Articoolo, Grammarly, Onespot, etc. { "@context": "https://schema.org", "@type": "FAQPage", "mainEntity": [{ "@type": "Question", "name": "What is AI in content creation?", "acceptedAnswer": { "@type": "Answer", "text": "AI is automated Insights in content creation. It helps optimize the written content according to the target audience. It uses Natural Language Generation (NLG) to create content and narratives. In addition, it can automate repetitive tasks. Once AI creates the content, a human writer can enhance and personalize it accordingly." } },{ "@type": "Question", "name": "How does AI help in content creation?", "acceptedAnswer": { "@type": "Answer", "text": "AI provides an in-depth analysis of the content, website, and target audience. Based on this research, creates and suggests changes in the content. This in-depth research of AI helps deliver valuable and personalized content to the target audience with the right set of keywords." } },{ "@type": "Question", "name": "How do you automate content creation?", "acceptedAnswer": { "@type": "Answer", "text": "Content creation can be automated with the use of automation tools. These tools recommend the topic, keyword, and tone of the article to be written. In addition, they assist the writer with the correct grammar, synonyms, and keyword predictions. If it is a technical article, the automated tool can write the entire article with no errors. Examples of such tools are Articoolo, Grammarly, Onespot, etc." } }] }

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WHAT DOES FACEBOOK’S QUITE AI ACQUISITIONS ACROSS UK SIGNIFY?

Article | February 17, 2020

The social media giant Facebook has always been at the forefront of AI advancement. Amid all the controversies and roadblocks in its strive to attain AI leadership, the company is moving forward with innovation and tech developments. These developments are a major result of its acquisitions; small but significant. Facebook’s M&A activities are proving to be quite beneficial in its AI journey. Recently, the company acquired Scape Technologies which is a London-based computer vision startup working on location accuracy beyond the capabilities of GPS. Full terms of the deal remain as yet unknown, although a Companies House update reveals that Facebook Inc. now has majority control of the company (more than 75%). Further, a regulatory filings show that Scape’s previous venture capital representatives have resigned from the Scape board and are replaced by two Facebook executives.

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AI VERSUS COVID-19 : A SOLDIER WE DID NOT KNOW WE NEED

Article | March 23, 2020

Coronavirus, COVID-19, is the talk of the town over weeks now if not months. The pandemic nightmare continues to terrorize on a global scale. It is bizarre to believe that bustling shopping malls, house full PVR halls, the crowd at Starbucks phase into Mexican Drug Ghost-towns. As of March 23, 2020, more than 349,000 people have contracted the novel coronavirus and at least 15,308 have died, according to a tally by Johns Hopkins University. Although the documented cases in terms of total recovery are at 100,165, the number of causalities by Coronavirus is larger than SARS (2002-20040 and Bird Flu of 2013, and is slowly closing to the total deaths in Swine Flu (2009-2010) i.e. 18,036.

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Spotlight

BlueVoyant

BlueVoyant is an analytics-driven cybersecurity company based in New York City, whose mission is to defend businesses around the world against agile and well-financed cyber attackers by providing unparalleled visibility, insight and responsiveness. The company was founded by leaders from Morgan Stanley, Thomson Reuters, the NSA, the FBI, Unit 8200 and GCHQ to protect the global economy from the increased risk of cyberattack and give private sector organizations the same level of cybersecurity defense capabilities that the best-protected institutions enjoy.

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