Article | April 28, 2020
The tech industry is almost always playing the balancing act by continuing to drive innovations and at the same time grappling with the side effect of those innovations in the global economy. Though every industry faces this challenge as it becomes more mature, the challenge is unique for the tech industry with the scale that tech is able to achieve and the evolutionary aspect of mixing digital and physical worlds.
Technology is evolving at such a rapid pace that it may go out of trend even before it is mentioned as a trending technology. But with the tremendous potential they bring with themselves, both for business and technology, it is time for the technology industry to make good use of it. While there are major questions around safety, privacy, sustainability, and trust, these questions can be answered by combining technical expertise with social awareness.
We’ll discuss how the impact of latest trends in 2020 will support and progress the infotech industry.
Table of Contents:
- Tech-Washing Fades in Favor of Real Strategy
- Growing Demand for Workforce Diversity
- Redefining IT Infrastructure with the Internet of Things
- Artificial Intelligence
- Demand for Automation
- Deep Fakes, 5G, and the Data Management Challenge
- Changing Reality of Emerging Technologies
1. Tech-Washing Fades in Favor of Real Strategy
With the vast influx of user friendly technologies it can now be said that every company is a tech company. Though the fact that technology is everywhere doesn’t necessarily change the underlying business model. A company cannot simply create new growth avenues by slapping a tech label on their product and expect to reap profits, which can be true for larger companies going public and struggling with the reality of the market.Then there are smaller businesses that are falling prey to marketing hyperbole. New trends like artificial intelligence and blockchain require significant investments and change to workflow. The smaller companies slowly realize the difference between buying new technologies and truly integrating them with their work culture.
Businesses will show more intent to integrate a technology into their work culture for strategic returns rather than buying a technology to use it as a crutch.
2. Growing Demand for Workforce Diversity
The technological workforce has been under the scanner for lack of diversity due to the unconscious bias along with other behaviour that is far more conscious, such as barrier to access for low-income students and even reports of outright abuse. In 2020, the call for improved diversity will continue to pay dividends, even if fully diverse and inclusive environments still lie further in the future. Going beyond the common conception of diversity, companies will also seek to bring in skill diversity. Companies are now increasingly seeking diversified expertise across all areas of IT framework – infrastructure, software development, cybersecurity and data.
In addition, companies now look for individuals that have some degree of work experience which indicates unwillingness to hire freshmen. Business are also looking for professionals that can speak the language of business and collaborate with other departments in order to drive technology-fuelled business results.
3. Redefining IT Infrastructure with the Internet of Things
The Internet of Things has emerged as one of the technological trends, along with cloud computing and mobile devices that will now be a permanent part of modern technology landscape. Digitization of environment and operations has gained pace due to the data value that comes with it. IoT is also bringing positive results for companies with both major and minor level IoT-related sales in the last year. Today, IoT as a managed services play is driving the most revenue in this category, but looking ahead to the next two years companies are predicting that analytics on data captured by IoT sensors – then shared with customers – holds the most financial promise.
I&O must get involved in the early planning discussions of the IoT puzzle to understand the proposed service and support model at scale. This will avoid the cascade effect of unforeseen service gaps, which could cause serious headaches in future.
- Ross Winser, Senior Research Director, Gartner
The next wave of IoT will require expert understanding of digital BizOps. Business will have to treat IoT projects more like an expansion of infrastructure.This will dictate networking structures, storage options, data policies, and security decisions. The stage for IoT, as for cloud computing and mobile devices, is set and ready to bring in advance IoT digital transformation.
4. Artificial Intelligence
Cloud computing lowered the barrierdeveloping software and distribution, while mobile devices extended the reach of software, thus increasing the software’s ability to drive activity. This created a new challenge in conducting said activity and acting on the data being collected. Artificial intelligence with software-driven routines and compute resources that can run advanced algorithms, takes software to another height. It is clear by now that AI needs a different kind of oversight compared to other software given the challenge of programming bias and unreasonable outputs. Like any other software, AI requires solid inputs and these inputs are often massive datasets rather than highly specific data points. But, there is still a need to maintain the data quality. AI opens up new opportunities for businesses as well as job roles as it continues to disrupt the infotech landscape.
5. Demand for Automation
SMBs require automation mainly in the areas of integration of platforms, application and data, while the large corporation who also focus on integration, have more internal resourcesto lean on. But, whether the integration is in-house or outsourced, the next step is automation. Today’s automations open doors to new opportunities like cloud systems offers tools from the provider; IoT gathers inputs from varied sources, and AI suggests insight-driven actions. With a number of technologies disrupting the tech landscape, companies can build complex automation. But as automation goes more complex, AI will play more a monitoring role.
Cybersecurity is not an emerging trends but it has been around for a while. Though the technologies revolving cybersecurity are upgrading as new threats keep appearing. Hackers keep finding news way to exploit the toughest of measures.
The attitude towards cybersecurity has shifted drastically from defensive to a more aggressive approach. Another drastic change has come in enterprises now treating cybersecurity more as an important component of business and not another function of IT. At large enterprises, this usually takes the form of a CISO managing a team of resources, and the division is more clear.
The first step, which many enterprise overlook, is to define the risk tolerance. The next steps is to fill the skill gap that exists due to a varied areas that come under the security umbrella. Finally, there must be metrics to measure the return on a more significant investment.
READ MORE: HOW TO MITIGATE ROBOTIC PROCESS AUTOMATION IMPLEMENTATION WITH LOW-CODE DEVELOPMENT
7. Deep Fakes, 5G, and the Data Management Challenge
Deep Fakes have the potential to wreak havoc on the society, personal lives, politics, careers, and beyond.Forging video and voice software appear to convincing people of doing things that they normal won’t do. Such software in the hands of bad elements would mean inviting trickeries and handing over important personal information to strangers. As long as deep fake applications exist – and they will continue to exist and proliferate – the need for sophisticated data management will skyrocket in the coming years. And data volume, already completely exponential, is only going to mushroom with the more expansive rollout of 5G networks next year and beyond. The entry of 5G will increase the absorption of data exponentially.
In addition to bringing us all faster broadband speeds and more reliable mobile networks, the proliferation of 5G will also accelerate advancements in smart city, smart vehicle, smart manufacturing, and scores of IoT-intensive technologies hungry for 5G. Just about every industry that touches our daily lives will be transformed – for the better – by the technology evolution that will define 2020.
- Daniel Newman, CEO,Broadsuite Media Group
The two trends will bring new data management challenges. There will be increasing need to identify data with its true source as well assecure the mountains of information speeding along these networks.
8. Changing Reality of Emerging Technologies
The excitement around emerging technologies is highand even though the impact on an operational levelhas been positive for business for building better practices for evaluating early-stage topics and accelerating adoption, its been chaotic at a tactical level. Companies have had less time to observe and evaluate which technology is profitable, while the constraints of resources and skill gap exacerbates.
The trend has been that companies in the business of technology are starting to pull back on adopting new technology as part of their portfolio. This slight tap on the brakes suggests that classic situation where companies move too quickly into a new technology discipline or business model only to have a reality check in year two or three. Though companies are excited about new technologies including AI, IoT, 5G, drones, blockchain, and quantum computing, they reserve their excitement since new trends can still take off overnight.
READ MORE: HOW TO LEVERAGE IOT IN MANUFACTURING TO USHER IN INDUSTRY 4.0
Article | April 28, 2020
Artificial Intelligence (AI) definitely tops the list of important themes for the drone industry. From data management to flight automation, AI has been part of the description. But how exactly does AI power processes like industrial inspections? An integration between a drone data management platform and an AI company serves as an example. Drone inspections generate a lot of images, huge quantities of data. While not all of those images are useful, all of them need review in order to identify a potential defect – like finding a needle in a haystack. That’s where AI can help – significantly reducing the human effort required to find that one important image from thousands of others.
Article | April 28, 2020
Thirty years ago, I discovered the Claris Platform as a student building apps for a summer job that helped pay my way through university. The skills I learned as a Claris developer helped me land my first job after school, and defined my career since. I hear similar stories from many members of our Community - problem solvers in almost any job function.But now, COVID-19 has had enormous impact on business, especially on small businesses. And with increasing unemployment, we know displaced workers and graduating students are facing a tough job market. We want to help.
Article | April 28, 2020
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."