Article | April 12, 2021
There is nothing new about fake news. It has been in existence for centuries, albeit without the scaffolding of support from social media. From housewives’ tales to gossip magazines, the Trojan horse to the misinformation around the D-Day landing site, fake news has been a rite of passage.
The Russian military made this into a fine art with “maskirovka,” the doctrine gaining superiority through deception, denial and disinformation. However, it was the 2016 U.S. presidential election that branded it with a legit identity and with such alacrity that today, I find myself questioning everything I read or hear about, no matter the veracity of the source. Fake news is a contagion that has the potency to be as disruptive as the coronavirus and must be fought with equal urgency.
If you cannot solve the problem, manage it.
The power behind fake news is big data — the quantum of data generated and its velocity of distribution. Big data feeds companies with interesting consumer insights on evolving trends and behaviors, which are then beautifully packaged into text, video or audio content by harnessing machine learning and deep learning algorithms.
The slips happen here. If I were to personify fake news, Cersei Lannister, the manipulative, power-hungry queen in Game of Thrones, would be the perfect candidate. Cersei embellishes the truth with dramatic twists and turns to create compelling lies. We experienced a similar situation when news broke that President Trump’s grandfather owned the Arctic Restaurant and Hotel in Bennett, British Columbia, during the 1890s and 1900s, which fueled an interesting twist on the source of the family's wealth.
While AI will help us identify fake news, we need a preventive measure that nips it in the bud
It is almost difficult to differentiate fake news from real news. While AI will help us identify fake news, we need a preventive measure that nips it in the bud — a vaccination rather than medication.
If tech helps in creating an issue, should tech help solve it too?
Based on my years of experience in implementing these solutions for large enterprises and developing next-gen blockchain offerings with startups, I believe blockchain may just be the remedy we are looking for. Most technologists, however, do not consider blockchain to be a relevant or credible technology, with the primary criticisms being its lack of widespread adoption and its esotericism. But I believe the contrary. The vision of grandma-proof blockchain is becoming real — to create an inclusive global, scalable blockchain solution that can cater to every human need.
Blockchain should be our weapon to effectively reduce and ultimately eradicate fake news.
In blockchain, no single individual or group holds the authority, but everyone needs to approve; therefore, it enables the highest degree of integrity, privacy and security
Blockchain is nothing but a distributed ledger that helps build trust in decentralized networks and that runs on the computing power of its participants. No single individual or group holds the authority, but everyone needs to approve; therefore, it enables the highest degree of integrity, privacy and security. This is accomplished by consensus algorithms. Each blockchain has adopted some form of it, and some even claim to have consensus that can prevent obfuscation of the truth even when faced with over 90% malicious intent.
Blockchain technology enables a "shared single version of truth" across multiple entities based on two fundamental characteristics: immutability and traceability.
Immutability is when a blockchain ledger has the capability to remain unaltered, effectively ensuring that any data on the blockchain cannot be altered — only built upon.
Each block created has a unique identity and timestamp attached to it that builds a fortress around the data. Innovative upcoming blockchains use crypto-biometric identity to further buttress the fort. For example, Mediachain, a decentralized independent music library, uses blockchain to protect the originator’s authenticity by providing information about the creator, producer and lyrics to listeners. Steemit is a decentralized social media site that rewards content creators who also interact with other users. Each content piece or interaction is recorded on the immutable record by blockchain.
And if news companies were to adopt blockchain — and organizations like the New York Times are already working on this — this is what we might expect:
Journalists could create a block (an entry in a distributed ledger) and upload news via text, image or video.
Editors would then create another new block with an edited version of the news, leaving the original block unchanged.
Publishers (news agencies) would then publish the news based on their block and any changes that they might make.
Each one of the participants is authenticated on the blockchain with a simple touch of their finger while protecting the fidelity of the news.
Remember, entries cannot be changed, only built upon, and therefore, each change is recorded and allocated to a specific entity. For someone to “fake” the news, they would have to alter the data at each level. Infiltrating the high-security protocols would require considerable time and resource allocations.
As mentioned, each block that is created has a distinct identity attached, preferably a crypto-biometric for added security and individual control. So, if fake news is generated and circulated through social media using blockchain as the base, it becomes easier to pinpoint the culprit while establishing the real source of the news. This would ascribe true content ownership to credible creators.
Fake news creators are using advanced tech stacks to create deepfakes for digital deception. Generative adversarial networks (GANs) can help them to create deepfakes of images and videos that can even counteract or deceive advanced AI/ML algorithms. Of course, GANs are also being used to detect fake news now. If technology has helped fake news become compelling and believable, let’s use intelligent and available technology like blockchain to at least control it, if not eradicate it.
Then again, if blockchain had existed in the medieval ages, we would have been denied the entertaining antics of Cersei Lannister and the wonderful blockbuster series that kept most of us enthralled!
Article | April 12, 2021
Programming languages such as C, C++, Java and PHP have been used by programmers for many years now, and software companies are often on the lookout for programmers who are well versed with these programming languages. However, with time as the demand has increased for high-level programming languages, a number of new languages have emerged to make it big in the programming languages space. In this article, we have listed down the top ten emerging programming languages of 2020 that can come handy for programmers.
Article | April 12, 2021
Staying relevant and cutting edge in the business world is a struggle for businesses in any industry. Technology, including intelligent automation, is continually evolving. Businesses must change with it in order to be competitive and successful in our current macroeconomic world. The use of intelligent automation tools can help grow your business and improve how your business operates, reducing your operating costs while improving your production time.
Reducing Human Error
One of the most important benefits that intelligent automation brings to any business is the reduction of human error in the work place. People are naturally affected by their daily lives and outside influences. If a worker, for example, came into work tired or unwell, his or her job performance will likely suffer, the risk of human error becoming greater. Automation software cannot be affected by time of day, mood, lack of sleep, etc., allowing it to be completely consistent in performing the task it was programmed to do.
Additionally, humans need to be taught new tasks and require practice in order to master them, robotic process automation can be updated and perform the tasks instantly.
Max Yankelevich, founder & CEO of WorkFusion, says it best “Robots need only eight to 12 weeks to take over a back office function that humans take years to learn.”
In terms of business benefits, utilizing intelligent automation tools ensures performance consistency that will ultimately improve the overall quality of work, also allowing human workers to focus on higher priority and more important issues that require critical thinking.
Keeping Jobs Local
Employers have often ventured overseas to hire workers in other countries who can then perform basic tasks at a reduced wage, when compared to local employees. The bottom line can be better for these employers in the short-term, though working with outsourced employees means sending money overseas and trying to manage workers on another continent. Typically, over the long-term businesses that outsource overseas can experience unforeseen issues and costs due to the complications with depending on a foreign workforce.
With outsourced jobs being performed by intelligent automation tools businesses can focus on hiring skilled workers from the local market for the upper levels of the workforce.
Return on Investment
Perhaps the most intimidating factor in implementing intelligent automation within your business is the upfront cost. Putting money into something new is not a leap everyone wants to make. Intelligent automation, however, is not a gamble. Research shows that companies who use are able to automate around half of their tasks, increasing process time by fifty percent. Completing tasks more quickly means companies can take on more tasks without spending additional time on them. Depending on the industry, having jobs done quickly can mean increased revenue.
If performing redundant tasks quickly and accurately will not improve your company’s revenue, just simply utilizing intelligent automation tools certainly will. Such tools do not need pay, employee benefits, and can work overtime, the return of investment becomes apparent when considering all the expenses intelligent automation does not require.
Intelligent automation tools offer businesses unparalleled levels of productivity, efficiency, and value. Companies will want to avoid the risk of falling behind by adapting with the modern technology, the advantages of utilizing intelligent automation tools can lead companies to developing new business strategies they could have never even possibly conceived of previously.
Article | April 12, 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 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.
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 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.
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.
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.
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!
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.
"name": "What is AI in content creation?",
"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."
"name": "How does AI help in content creation?",
"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."
"name": "How do you automate content creation?",
"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."