Article | June 29, 2021
When the Covid 19 Pandemic hit the world in March 2020, little did we know that it would bring the world to a standstill. When the trials of eliminating the pandemic seemed to be in vain, people started adapting to the “new normal.” Organizations from all sectors bought the best minds together to resume their functioning. Digitalization became compulsory. Thus, instead of waiting for the pandemic to end, people started finding out innovative ways to begin functioning with it.
When organizations resumed their functions, they started building flexible ways for the work to continue immaculately. From managing work from home to flexible working hours for individuals, everything was tried. Technologies in pandemic management emerged to support the changing functionalities.
1. Technology Adoption During Covid - 19
It was noted that;
● There was a 775% rise in cloud services.
● 58% of companies adopted digitalization by July 2020 (It was 36% in December 2019).
● 93% of organizations adapted remote working or collaborative technologies.
● 52% of educational institutions are operational remotely.
The above statistics are proof that technology in Covid 19 has emerged and is a catalyst for organizations to work remotely.
Let us look at some of the digital transformations and technologies that have been there for some time, but their use has been accelerated in the post covid world. And also at the emerging technologies that are here to stay for long.
2. Technologies In The Post Covid World
2.1 Generative Design
Generative Design is a manufacturing technology wherein AI & ML come together and create algorithms to produce a design and multiple iterations based on the specific requirements. When a particular design of the part is generated, an idea is fed into the system. Then the algorithm works out the best permutations and combinations of materials to be used, different designs, and specifications of the part. This assists the designers in choosing the best time and cost-saving combination.
Airbus has used generative design to build partition parts for A320 passenger aircraft. The generative design feature resulted in delivering a partition design that was 45% lighter than the previous ones.
2.2 Cloud Computing
With more and more organizations working remotely, cloud computing is on the rise. Of course, this technology has been there for a long time, but it is an accelerated technology in Covid 19.
As organizations adopted remote working, flexibility and reliability became important. Cloud services promised both at the best costs. Even small-scale businesses adopted cloud services to implement applications. Cloud services are cost-effective and easy to implement. Conferences, meetings, teaching, LMS, and work from home can be easily managed by cloud computing.
This technology in Covid 19 has seen a sky-touching rise and is here to stay for a long time.
2.3 Collaborative Tools
With work from home being so active, security of data, ease of communication, and resource management are the challenges to be handled. Organizations need tools that provide ease of access, communications, and coordination between all the departments. This is where collaborative tools play an important role in technology in Covid.
Collaborative tools assure that all the employees work on one platform. For example, communication, meetings, sales, HR, and all the departments work on one system. These tools synchronize the work of the company and make management effortless.
Microsoft has introduced Fluid Components to support their hybrid working system. Creating a one-of-a-kind meeting room experience to seamlessly streamlining all processes, fluid components will assist them in all possible ways.
2.4 Digitization of Businesses
As said earlier, the stats portray an impeccable increase in the digitization of organizations in the initial 6-month phase of the pandemic. And it increased every day. Businesses in the post coronavirus realize that an online presence is the most efficient and easy way to reach their target audience. Also, it requires limited resources.
The digital conversion of business happened in the post-Covid world, but it will not be a conversion for new companies but a compulsion for new businesses. For businesses to run profitable, technology-driven solutions are a must. This shift of businesses is guaranteed profitable and customer-centric. Digitization helps in removing geographical barriers and cater customers on a broader scale.
With the comprehensive support of AI, automation has gained momentum and promises a bright future for companies. From customer retention to generating sales, the software is developed to give an automated process. Even industries are employing AI and ML to automate their processes from manufacturing to delivery.
The automation industry was developing rapidly in the pre-Covid world but this technology in Covid 19 has seen a boom. Examples of automation are planting sensors, 3D printers, embedded metrology, etc.
China is the world leader in manufacturing due to its low labor charges, but things could change and are changing in the post-Covid world. Japanese companies have been into automation for a long time. These companies can mark their global footprints in these changing times.
IoT (Internet of Things) is a technology in Covid 19 that has gained tremendous momentum. As a result, the prices for sensors, software, and internet-connected things have gone down reasonably. IoT assists with endless possibilities to collect, transfer, and store data for a seamless working environment with minimal or no human intervention.
From home appliances to fleet management, each and everything can be managed remotely. The devices can be controlled remotely when the engineer at the other end has accurate information. IoT has proved to be a success in all sectors.
IoT has played an important role in recovering businesses while fighting the pandemic. In addition, IoT technology in Covid 19 has been implemented for smart homes, smart buildings and is paving the way for a brighter future by implementation in smart cities.
3. Advantages Of Adopting Technology In Covid 19
If you want to be a part of an industrial revolution, you need to adapt to the new ways of doing business. As the human race adapts to the ‘new normal,’ so do the businesses.
The technologies that have emerged in the post covid world promise the answer to most of the challenges. These new technologies promise a more innovative and profitable business with minimum flaws.
Here are some of the advantages of introducing the technologies in your business.
● Cost reduction, speed, and resilience
● Top-notch crisis management
● Top graded data security
● 100% customer satisfaction
● Unprecedented revenue growth
It sounds unbelievable but adopting emerging technologies does deliver more than it asks. For example, the pandemic tried to bring life to a standstill, but the alternate routes to survive proved more fruitful.
4. To Sum It All Up
Technology in Covid 19 addresses all the challenges from planning to execution. Employees are adapting quickly to the new trends as they are employee-centric. These technologies provide the necessary transparency and comfort for employees. Employers benefit as they have the best ROI, and the management of employees is no more an issue.
The adoption of technology in Covid 19 promises a brighter and more innovative future. These post covid technologies already have a host of success stories.
Thanks to the innovation of the above technologies, functions of collaboration, communication, and interconnectedness of devices are stable, continuous, and consistent. However, when all the sectors are required to work simultaneously, which is critical in moving forward, specific changes have to be implemented.
It is high time that companies accelerate their digitization process and implement the required technologies to benefit the employer and the employees.
5. Frequently Asked Questions
5.1 What technologies are used in business?
Businesses use technology depending on their operations and uses. But collaborative tools with implementation of IoT, AI, and other productivity tools are used in collaboration.
Every sector has its set of technologies to be used. So there are technologies for computers, software, networking, manufacturing systems, and more.
5.2 Why should businesses use technology?
Businesses should use technology to accelerate ROI and improve operations. Technology eases the day-to-day operations of the organization and promises minimum errors. In addition, there is productivity, transparent communication, and guaranteed security.
5.3 What are the most important types of technology?
AI is the most crucial type of technology that is groundbreaking and promising in challenging times. AI & ML, combined, can create wonders for any organization.
"name": "What technologies are used in business?",
"text": "Businesses use technology depending on their operations and uses. But collaborative tools with implementation of IoT, AI, and other productivity tools are used in collaboration.
Every sector has its set of technologies to be used. So there are technologies for computers, software, networking, manufacturing systems, and more."
"name": "Why should businesses use technology?",
"text": "Businesses should use technology to accelerate ROI and improve operations. Technology eases the day-to-day operations of the organization and promises minimum errors. In addition, there is productivity, transparent communication, and guaranteed security."
"name": "What are the most important types of technology?",
"text": "AI is the most crucial type of technology that is groundbreaking and promising in challenging times. AI & ML, combined, can create wonders for any organization."
Article | June 23, 2021
Customers feel connected when they have a one to one conversation with the seller. It makes the product/service look promising and convincing to them. But it is impossible to provide one on one interaction to every buyer. It requires a bounty of staff and resources. And God forbid if the product/service does not succeed, all efforts go down the drain. Thus, there should be a permanent solution to provide personalization to the buyer, which takes minimum costs.
This solution is named Conversational AI. This is a budding conversational sales and marketing strategy that is of immense potential. A simple example is Chatbots. Chatbots are responsible for a lot of success in various departments of an organization. From solving queries to lead generation, Chatbots have proved their efficiency to the fullest.
But chatbots are just a part of conversational AI. This extensive system can change the outlook of any industry when implemented in the right way.
Talking to machines is getting more comforting and convenient. Research indicates that conversational AI is going to impact businesses in a significant way.
Stats of transformation in business departments due to AI in the next five years
• 61% personalization of content
• 60% prediction of buyer’s journeys
• 59% marketing productivity
• 59% digital management
The above stats indicate that AI will impact content, digital marketing, sales, and many other departments. Conversational AI will assist in boosting the sales graph to rise in each department.
Advantages of implementing conversational AI in Business
Attractive Customer Experience (CX)
All businesses want their customers to have an amazing experience while dealing with them. And conversational AI takes it to the next level. It is designed in a way that provides the best conversation experience with the customer. Gone are the days when machine conversations seemed robotic. The new AI infrastructure promises a personal and intimidating conversation, along with multilingual options.
The data collected by the organization should be funneled in the right way to provide a great experience to every user. If the data is used correctly and implemented in the AI, the CX of your organization is sure to set examples.
Intelliticks is one of the examples of emerging conversational AI platforms to provide the best CX. It has Facebook messenger integration to connect with the users. This platform saves time and money while delivering engaging answers to the customers round the clock.
Provides an Omnichannel Approach
Customers need different channels while interacting with a particular brand. Some prefer emails, while some prefer calls. As there cannot be one channel of communication and management of all channels requires an intelligent effort, integrate conversational AI to make things fall in place for you.
Conversational AI unifies the data and gives a clearer understanding of customer’s data. The algorithm is designed to provide your organization with the best way of connecting with the customers through their preferred channels.
Assistance in promoting your content
Promotion of content is still a tedious task for many organizations. Posting blogs, articles, social media posts are easier but assuring that it reaches the right audience is still a way through a dense forest. While SEO and search engines work well, conversational AI bots can prove a breakthrough for content promotion.
For example, when the chatbot answers a specific query, it can provide the user with a link to the related article or blog. Thus, the user gets all the required information and more through the chatbot. On the other hand, your content is promoted to the right audience. Once the chatbot recognizes the regular pattern of the customer, it can promote the related content through the right channel.
Reduce Administrative Burden
With the implementation of conversational AI, the reduction of workload and use of resources is unimaginable. The administration can carry out their designated jobs with full assistance from CAI at every stage. These advanced chatbots can handle and immaculately organize the work of the various departments in the organization.
From intimating about the meeting to the concerned individuals to organizing fun activities, every little thing can be managed by conversational tools. An organization does not have to ask for an employee’s schedule individually. The employee can tell the software their schedule, and the conversational AI merges the information of all the employees and coordinates accordingly.
When introduced in the HRIS system, the HR department will have the best assistance to implement and ease their tasks. People have to speak to the software, and their schedules will be synchronized in the system.
Things to consider before introducing Conversational AI in the system
Merging of channels
When a user chats with a chatbot and the chat needs to be taken forward by the concerned human agent, he should have the history of the conversation. The entire data about the customer with its history and complaints should be accessible to the agent. This implies that all the channels such as voice, chat, mail, and web should be integrated seamlessly in the CAI channel.
Explore areas wherein CAI can be deployed
CAI is not just customer-centric. It can help all the departments of the organization in its own way. Like the former example of the HRIS, CAI can be implemented in other departments, too. It can assist in designing, determining product life cycle, data analysis, employee training, and much more. So do not keep CAI defined to enhance customers, employees, or sales department. Explore the opportunities for conversational AI and introduce it wherever possible.
Make the CAI highly engaging
Everyone knows when they are talking to a chatbot, but that does not mean the conversations have to be ordinary. Hiring creative writers and having them design intriguing statements for discussions makes the CX enriching.
For example, Hyundai CAI asks the customers several questions before telling them about the inquired product. Like “Before we talk about your favorite car, let’s chat about you so that I can be more helpful. Would you say you are more into...?” Then it provides three options like city life, outdoors, unique experiences, etc. Thus based on these answers, a marketing funnel is generated, and the correct type of car or cars is recommended to the customer.
Thus, engaging conversations can prove highly successful in generating and converting leads via CAI.
Conclusion: CAI- The best solution for business
The possibilities created by CAI for businesses are endless. You should identify the right way to introduce and implement it in your business. This means you have to identify which conversational tools suit your business in the best way. It would be best to educate yourself about the features, integrations, and their work in your organization.
The integration of CAI enhances the buyer’s journey and helps businesses meet their customers' demands easily. This, in turn, increases customer retention. You need to push boundaries and challenge yourself to stay ahead in the digital race. If CAI seems expensive or complicated, just begin with a basic chatbot to answer general questions and welcome your customers when they visit your site. Once you take this step forward, you will notice how important it is to stay up to date and include CAI in your organizational processes.
Conversational AI is not magic, but it is the best combination of AI and ML!
Frequently Asked Questions
What is conversational AI used for?
Conversational AI is used to enhance customer experience and provide them with a personalized approach. It means that the machine has a human-like conversation with the human. Organizations or individuals can use conversational AI to communicate seamlessly with devices.
What is the difference between chatbots and conversational AI?
Chatbots are used to build only text assistants, while conversational AI is used for text and voice assistants. Conversational AI is more intelligent, smarter, and understands the human language precisely.
What are conversational AI tools?
Conversational AI tools imply chatbots, messaging apps, and voice assistants. These can be implemented in businesses to provide a seamless customer experience. Software that integrates all or some of the above and eases business processes is an example of CAI.
"name": "What is conversational AI used for?",
"text": "Conversational AI is used to enhance customer experience and provide them with a personalized approach. It means that the machine has a human-like conversation with the human. Organizations or individuals can use conversational AI to communicate seamlessly with devices."
"name": "What is the difference between chatbots and conversational AI?",
"text": "Chatbots are used to build only text assistants, while conversational AI is used for text and voice assistants. Conversational AI is more intelligent, smarter, and understands the human language precisely."
"name": "What are conversational AI tools?",
"text": "Conversational AI tools imply chatbots, messaging apps, and voice assistants. These can be implemented in businesses to provide a seamless customer experience. Software that integrates all or some of the above and eases business processes is an example of CAI."
Article | April 2, 2020
More than 30 per cent of the 400 patents Adobe filed last year were specifically related to artificial intelligence and machine learning. Adobe introduced its AI capability Sensei four years ago and has since launched hundreds of new AI-powered features and capabilities across its portfolio. Within its marketing, advertising and commerce clouds, the AI services aim to help marketers to optimise campaigns, automate tedious tasks and provide predictive capabilities. Speaking during the virtual edition of Adobe Summit this week, Anil Chakravarthy, the new head of Adobe’s digital experience business, outlined which AI features will be available to Adobe experience cloud customers in 2020. Chakravarthy announced the general availability of two of these services Customer AI and Attribution AI.
Article | December 23, 2020
Imagination, creativity, and ambition are what brought us here to this modern high-tech age that we live in today. These characteristics are the reason behind mankind’s innovative creations that started from inventing the wheel in the stone ages, to the development of the first car in 1885.
“Every generation needs a new revolution”
For science, the sky’s the limit when it comes to new creations and inventions that serve mankind in their daily life tasks, or just to entertain. Whether it’s a smartphone that keeps you connected with people, a cleaning robot that keeps your floor shiny and spotless, or even a cup holder that just holds your drink inside your car. As time passes, we notice how technology and science prosper to bring new tools and gadgets to the world to facilitate human tasks. It’s all thanks to humans’ ability to imagine and create.
Now, we have reached a point where Artificial Intelligence has been introduced and is helping us do tasks much easier and faster. This remarkable technology has the ability to do what humans can in a more efficient way. It doesn’t have emotions like us but it sure can think and act like it. Therefore, as you think about it, is it possible for them to reach that point of creating, as humans have?
What Is AI Technology?
Artificial intelligent technology (also known as AI) is the process in which robots and machines, created by man, are able to solve problems, complete motor-related tasks, and think like humans by just learning from the experiences they approach. By using the method of deep learning, machine learning, and natural language processing, robots can process all the data we give them in an algorithmic manner. By doing so, they determine certain patterns and features to produce the ability to act and think like humans.
Although for some scientists and researchers, the definition of AI technology can go beyond the description I just provided you. Moreover, it’s known as robots that think like humans. You can notice all the amazing inventions originated by using AI like self-parking cars, voice-activated lights, and much more. Although does it stop there? Can more come from AI technology rather than just providing help around the house? Or when giving directions on a built-in GPS?
What I want to get at is…
Can AI Technology Create and Write Music?
It has been known across history and for generations that creating an artistic masterpiece requires passion, dedication, and emotions to bring forth a spectacular piece of art.
Great artistic minds like Da Vinci, were able to paint what to be considered today as one of the iconic paintings that symbolize art, known as the Mona Lisa painting. Another poetic artistic mind like Bach was able to create extraordinary and moving pieces of music that set new standards for musicians back in the 18th century. It is because of humans’ ability to imagine and their willingness to express their emotions through art, that they were able to originate outstanding masterpieces.
Although making music, for instance, does require that sense of passion and emotion to generate it. It still relies on basic rules, patterns, and fundamentals that are very important to know, and acquire, to make or write music from scratch. You see, any piece of music is made up of musical notes, certain chords, and a rhythmic bassline. These musical elements create what we call a melody in a song or just a full song. You can’t apply any chord to any bassline without referring to the rules of music first, because making music is all about assembling all of those key factors in a musical pattern. While following the rules at the same time. Of course, some musicians bypass those rules and still are able to create great songs. Even so, that’s just a different story from what I’m trying to explain.
Emotions in Music
When listening to any type of song, you can instantly tell if it’s a sad, happy, motivating, or horrifying song just from the lyrics. The instrumental melody in the background plays a huge factor in determining the mood of the song. Some chords are considered to provide a happy and uplifting feeling when played. Other musical notes and patterns generate that sense of sadness. Music Theory has assigned certain feelings to certain chords. So, when writing a happy or sad song you can easily pick which chord to use for the certain feeling you want to express in your musical piece. Some instruments used in songs are also related to specific feelings as well. That’s how the genre of music is determined most of the time.
Since making and writing music is mostly about knowing the rules and choosing which chord to go with which note. Then it’s possible to create a song relying only on the fundamentals of Music Theory. Also, if we consider these chords and notes as patterns and data, can’t it be implemented and processed by AI technology?
AI Technology Seen Today
A lot of modern age gadgets have been introduced to the market that uses AI technology to serve our wants and needs. Even music tech. Musical gadgets have been invented like automatic tuners that can tune your guitar hands-free, metronome watches, portable guitars, and many more. What’s truly fascinating is the implementation of this technology into next-level music inventions.
You might not know this but AI technology has been implemented on most of the music platforms you use today. Platforms like Pandora, Spotify, Amazon Music, and others use mathematical algorithms in their operating system that enable them to predict and suggest songs that might seem appealing to you. It’s all according to the thumbs-up feedback you provide for each song you listen to. It’s also associated with the constant clicks and searches you conduct for certain types of artists and songs.
It’s simply remarkable how these music platforms are able to provide the user with song suggestions and playlists that suit their music taste. This is all possible through AI technology’s ability to process the patterns in the music being played, the tempo, and the instruments used. With that data processed, it can predict the next song that will meet the user’s desire. Since AI can identify the type of music being played, then it’s safe to say that there’s a possibility it can write music as well. Actually, it already has.
Music Platforms That Create Music
Throughout history, many great musical artists have used technology and machines to make writing music an easier task. While for some it was just a source of inspiration. AI technology had been used by musicians for a long time to assist them in originating their masterpieces. Alan Turing, the godfather of computer science, built a machine in 1951 that generated three simple melodies. David Bowie used the lyric randomizer in the ’90s for inspiration. In addition, a music theory professor was able to create a computer program that was able to write new music in the style of Bach. These few examples make it clear that AI was able to assist artists in their music careers.
After a few thorough tests and analyses, AI has become a part of the songwriting process. The research has led to the development of songwriting platforms like Watson Beat, Amper, and Google Magenta NSynth Super. These platforms use the essence of AI in deep learning by processing the data given. They search for patterns in the styles, chords, and other musical elements between songs to produce new material in the end.
Songwriting platforms, like Amper, allow anyone without the musical knowledge or experience to create a full song instantly. The process is quite easy. All you have to do is pick a genre, mood, and tempo while Amper takes care of the rest. This program has been used to create music for podcasts, commercials, and videos for companies. Still, it hasn’t been able to produce a hit song that will reach the top spot in the music billboards. My guess is because it lacks passion and emotion when creating a song.
Will AI Technology Take Over the Music Industry?
While a lot believe that someday AI Technology is going to backfire on us and take over our jobs. Some say that if they do take over everything then more jobs will emerge from it in the process. It’s a conflicting discussion.
What has been made clear though, is that today’s modern age technology has been able to create and write music just like humans can. It’s faster and efficient. Even though it might seem that AI will take over the music industry. It still doesn’t have that emotional side of making music. Furthermore, it’s been proven that even music writing platforms, like Amper, don’t have the ability to create a hit number one song. Or one that will catch the attention of millions. Although they can create music for marketing, promotional, and commercial purposes easily.
In conclusion, Artificial Intelligence is truly a mind-blowing invention. Having it helps us with our everyday life tasks and daily routines. Nevertheless, making it write music is also remarkable and sets high standards for technology nowadays. We don’t know what technology has installed for us but it’s no doubt making the world a better place.