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Computer Vision Advances and Challenges

Computer vision refers to the field of training computers to visualize data as humans do. This technology has the potential to reach a stage wherein computers can understand images and videos better than humans. Also, the use cases are practically limitless, despite the technology still existing in its nascent stage of exploration. 

Computer Vision

Computer vision as a concept has been around since the 1950s. In its infancy, computers were trained to distinguish between shapes such as squares and triangles. Later on, training shifted towards distinguishing between typed and handwritten text.

Reasons for popularity

The main reason for computer vision’s popularity is its potential to revolutionize many every-day aspects of our lives. Computer vision drives autonomous vehicles and allows them to distinguish between traffic signal lights, medians, pedestrians, etc. It can also be used in healthcare, for detecting tumors in advance and identifying skin issues. 

There is a huge opportunity for employing computer vision in agriculture as well. It can be used to monitor the quality of crops, locate weeds and pests, based on which farmers can take action. 

Applications of Computer Vision

How about facial recognition? Yes, computer vision is already being used in new-generation smartphones to detect the user’s face. Even QR code scanning is an example of the adoption of computer vision. This technology can also be used in supermarkets to identify which users are making which purchases. 

Amazon is testing a convenience store called Amazon Go, which doesn’t have a billing counter. Instead, the store uses computer vision to identify customers and the items they add to their cart. A bill is sent to them online through the Amazon Go App once they leave the store with these items.

Advantages of computer vision

While computer vision has a lot more to achieve, it has already achieved ground-breaking innovations. That makes sense because this technology brings a lot of advantages to daily and professional life. 

Reliability

The human eye grows tired of scanning its environment. Factors such as fatigue and health come into the picture. With computer vision, this is eliminated because cameras and computers never get tired. Since the human factor is removed, it is easier to rely on the result. 

Numerous use cases 

From healthcare and agriculture to banking and automobiles, if explored smartly, computer vision can be employed in almost every aspect of our lives. These machines learn by viewing thousands of labeled images, thus understanding the traits of what’s being visualized. The same primary computer vision technology that evaluates the quality of packages in a factory can also be used to identify trends in the stock market.

Cost reduction

Computer vision can be used to increase productivity in operations and eliminate faulty products from hitting the shelves. This technology will also allow companies to manage their teams efficiently by identifying staff that could be used for other activities that require attention. For example, in Amazon fulfillment centers, productivity among workers is measured to improve efficiency and resource allocation.

Challenges faced by Computer Vision

Every emerging technology starts with a few significant drawbacks. From this technology’s development to its impact on society, there is a lot to look forward to, but a lot to be concerned about as well.

The challenge of making systems human-like

As much as computer vision is making huge leaps in its progress, it is difficult to simulate something as complex as the human visual system. The human brain-eye coordination is a marvel to behold, and its ability to understand its environment and make decisions is unparalleled by computer vision systems, at least at the moment.

Tasks such as object detection are complicated since objects of interest in images and videos may appear in a variety of sizes and aspect ratios. Also, a computer vision system will have to distinguish one object from multiple others within its view. This is a skill that computers are taking time to get better at.

Computer vision also hasn’t reached the stage wherein it can identify the difference between handwritten and typed text. This is due to the variety of handwriting styles, curves, and shapes employed while writing.

Privacy

This is arguably the biggest social threat that computer vision poses. The qualities that make computer vision effective are also the concerns of humans that value their privacy. With computers learning from thousands and thousands of images and videos, computers are getting better at recognizing individuals by their facial features, and everyone’s information is stored on a cloud.

Computer vision can track people’s whereabouts and monitor their habits. With such information, governments and businesses could be lured into penalizing and rewarding workers based on their actions. China, a nation with strong AI capabilities, is already looking to use computer vision to monitor its citizens and provide information that funds its controversial social credit system. On the other hand, San Fransisco has banned the use of facial recognition technology by the police and other related agencies.

It is psychologically unhealthy for humans to know that they are constantly being observed and monitored during every aspect of their lives. It would be interesting to see how governments intend to tackle this issue.

Final Thoughts

Computer vision’s progress can make people truly feel like they’re living through a sci-fi film. The future of this technology is filled with a range of use cases to be catered to. Numerous businesses within this realm are collecting millions of images and videos that can be used to train their computer vision systems. Also, existing businesses are exploring ways to employ computer vision into their operations. 

Challenges of Computer Vision

Computer vision has its present challenges, but the humans working on this technology are steadily improving it. Every emerging technology brings its fair share of advantages and disadvantages. While it is important to celebrate its progress, it is equally important to gauge its potential negative effect on society. This is the only way to ensure that computer vision makes our lives more comfortable and less constrained.

Artificial Intelligence Applications

Artificial Intelligence is here to change the way humans interact with their world, and it’s poised to make life easier. Today, numerous applications of Artificial Intelligence for business solutions exist. From voice assistants playing music at our behest to phones unlocking themselves by viewing our faces, AI has shown us that the future is here.

AI is also here to make life simpler for employees and businesses. A lot of business processes are waiting to be automated, and data analytics is offering more insights than ever for decision making and identifying opportunities. AI can manage a company’s workflow and predict trends. 

There are a variety of applications for AI in business. Let’s do a rundown of the eight most popular ones:

Serve your customers better

Every business needs to keep its customers happy and satisfied. They also need to know how to empathize and deal with unhappy ones. A strong customer base is integral to a business’s success, and AI is making it easier to achieve this. 

Applications of Artificial Intelligence for business

Businesses can use conversational AI to provide a personalized platform for customer interaction. Customers love immediate responses, and research exists to back this up. Econsultancy reports that 79% of customers prefer to chat with a customer support rep to solve issues and queries.

Businesses can employ chatbots to make sure customers always have someone to go to instantly if and when there’s a problem. Chatbots can handle simple queries and lead customers to a human support representative if the issue is complex. 

Predict online behavior

Understanding online customer behavior is essential to e-commerce. Factors such as product clicks, bounce rate, purchases, etc. determine the success or failure of products sold by online businesses.

Applications of Artificial Intelligence for business

Data analytics allows online businesses to study the data that they’ve captured. It’s a great way to understand which products are helping the business and also the ones that need to be discontinued. New products can also be launched if certain product categories are proving to be popular.

Machine Learning algorithms can track user behavior on websites. With the information collected, businesses can personalize a customer’s experience. Customers could be shown products that they are likely to buy. 

Optimize workflow

Manufacturing businesses can make use of computer vision to monitor factory operations. Such technology can measure employee productivity and the efficiency of processes. Industrial robots can replace repetitive tasks or tasks that eliminate possible human error.

Improve physical checkouts

With the help of computer vision, retail stores can save customers a lot of time while checking out. Computer vision cameras across store premises can identify customers and the items they pic. Once customers are done picking what they require, the retailer can send an invoice online, thus avoiding any reasons to wait in a long queue.

Strengthen your cybersecurity efforts

 Every business has data that needs to be protected. They generally store this data on common/public infrastructure, which makes the data more prone to cybersecurity attacks. 

Applications of Artificial Intelligence for business

Businesses can employ AI/ML to strengthen their cybersecurity efforts. They can use ML to detect malicious activities in data storage systems and improve human analysis, from detecting attacks of a malicious nature to endpoint protection. Also, businesses can automate mundane tasks, thus allowing less room for human error due to fatigue, and more accurate results.

Market yourself with data

With the help of AI and ML, advertising campaigns can be planned with less subjectivity and more data-backed decision making. AI models that can analyze the most successful advertisement campaigns of the past are available in the market (IBM Watson, for example). These models can study advertisement parameters such as audiences, click rate, transaction rate, overall spend, etc. 

Applications of Artificial Intelligence for business

AI can also identify and segment audiences that are most likely to respond to a certain ad positively. By understanding their audiences, ads creatives, while subjective in nature, can be provided with an objective touch, to increase conversions.

Today, most brands use AI to prepare their ad campaigns. Using data, ads of the future can learn from the past to hack the future in their favor.

Detect fraud and anomalies

The banking industry is a sensitive one since issues in this field affect customers more than any other industry. Now that we’ve got Big Data, banks and financial firms can now access data on customer spending habits. So, if bank officials observe any anomalies in any transaction from a customer’s bank account, they can alert customers.

AI-inspired fraud detection applications review a customer’s social media, employment statistics, high school & college education, etc. to determine whether their expenditures and financial activities are in sync. Businesses can continuously update such applications as customer data change, thus more accurately determining what accounts for financial fraud.

Predict outages

To execute any strategy successfully, the resources that aid the execution process need to be abundant. Outages can slow down industry processes and hamstring operations. 

AI can monitor teams and their inventory to determine whether a plan will be executed on time or not. Teams can be alerted if new additions need to be made to their inventory and if any resources aren’t being used effectively.

Applications of Artificial Intelligence for business - outages

For example, in a factory setup, monitoring storage locations allows businesses to identify missing items and raw materials that need to be replaced or replenished. These raw materials are crucial to the final product’s creation, and AI can ensure that any possible hurdles are taken care of.

Conclusion

Despite AI being in its nascent stage, it has already proven to be a technological juggernaut. In business, AI can improve manufacturing processes, reduce financial fraud, and improve marketing campaigns, among many other applications as discussed above. 

With extraordinary leaps made in machine learning and computer vision, it will be interesting and exciting to see AI developers discover new applications. We will definitely update this piece once further applications of Artificial Intelligence for business present themselves.

Understanding What Is Conversational AI

For the last couple of hundred years, the total of what correspondence has been verbal, composed, or visual. We talked with our mouths, hands, and utilizing different mediums like braille or a PC. Discussions, specifically, required two distinct things.

Various people and an approach to impart. Things have since taken a noteworthy improvement. We have now opened better approaches to discuss legitimately with our innovation in a conversational setting utilizing a conversational chatbot.

Conversational AI alludes to the utilization of informing applications, discourse-based collaborators and chatbots to computerize correspondence and make customized client encounters at scale. Countless individuals use Facebook Messenger, Kik, WhatsApp and other informing stages to speak with their loved ones consistently. Millions more are exploring different avenues regarding discourse-based colleagues like Amazon Alexa and Google Home.

Applications of Conversational AI

Accordingly, informing and discourse-based stages are quickly uprooting conventional web and portable applications to turn into the new vehicle for intuitive discussions. At the point when joined with robotization and man-made reasoning (AI), these associations can interface people and machines through menial helpers and chatbots.

However, the genuine intensity of conversational AI lies in its capacity to all the while complete exceptionally customized connections with huge quantities of individual clients. Conversational AI can on a very basic level change an association, furnishing more methods for speaking with clients while encouraging more grounded communications and more noteworthy commitment.

Human-made consciousness is a term we’ve started to turn out to be exceptionally acquainted with. When covered inside your most-loved science fiction motion picture, AI is currently a genuine, living, powerhouse of its own.

Conversational AI is in charge of the rationale behind the bots you manufacture. It’s the cerebrum and soul of the chatbot. It’s what enables the bot to carry your clients to a particular objective. Without conversational AI, your bot is only a lot of inquiries and answers.

Conversational AI

Few Examples Of Conversational AI

Facebook Messenger

Facebook has bounced completely on the conversational trade temporary fad and is wagering enormous that it can transform its mainstream Messenger application into a business informing powerhouse.

The organization originally incorporated shared installments into Messenger in 2015, and after that propelled a full chatbot API so organizations can make cooperations for clients to happen inside the Facebook Messenger application. You can request blooms from 1–800-Flowers, peruse the most stylish trend and make buys from Spring, and request an Uber, all from inside a Messenger talk.

Operator

Administrator considers itself a “demand organize” expecting to “open the 90% of business that is not on the web.” The Operator application, created by Uber fellow benefactor Garrett Camp, interfaces you with a system of “administrators” who act like attendants who can execute any shopping-related solicitation.

You can request show passes, get blessing thoughts, or even get inside plan proposals for new furnishings. Administrator is by all accounts situating itself towards “high thought” buys, greater ticket buys requiring more research and skill, where its administrators can increase the value of an exchange.

Administrator’s specialists are a blend of Operator workers, in-store reps, and brand reps. The organization is additionally creating man-made consciousness to help the course ask for. Almost certainly the administration will wind up more astute after some time, joining AI for productivity and human mastery for quality suggestions.

Amazon Echo

Amazon’s Echo gadget has been an unexpected hit, coming to over 3M units sold in under a year and a half. Albeit some portion of this achievement can be ascribed to the gigantic mindfulness building intensity of the Amazon.com landing page, the gadget gets positive surveys from clients and specialists the same and has even incited Google to build up its own adaptation of a similar gadget, Google Home.

What does the Echo have to do with conversational business? While the most widely recognized utilization of the gadget incorporates playing music, making educational inquiries, and controlling home gadgets, Alexa (the gadget’s default addressable name) can likewise take advantage of Amazon’s full item inventory just as your request history and brilliantly complete directions to purchase stuff. You can re-request normally requested things, or even have Alexa walk you through certain alternatives in buying something you’ve never requested.

Snapchat Discover + Snapcash

Brands are falling over themselves to connect to Snapchat, and the ultra-well known informing application among youngsters and Millennials has as of late been offering some enticing sign that it will end up being a considerably all the more convincing internet business stage sooner rather than later.

In 2015, Snapchat propelled Snapcash, a virtual wallet which enables clients to store their charge card on Snapchat and send cash between companions with a basic message.

While this was a restricted test, it demonstrates that Snapchat sees potential in empowering direct trade (likely satisfied through Snapcash installments) inside the Snapchat application, opening the entryway to many fascinating better approaches to brands to interface and offer items to Snapchatters.

AppleTV and Siri

With a year ago’s invigorate of AppleTV, Apple brought its Siri voice partner to the focal point of the UI. You would now be able to ask Siri to play your preferred TV appears, check the climate, look for and purchase explicit kinds of motion pictures, and an assortment of other explicit errands.

Albeit a long ways behind Amazon’s Echo as far as expansiveness of usefulness, Apple will no uncertainty grow Siri’s joining into AppleTV, and its reasonable that the organization will present another adaptation of AppleTV that all the more legitimately contends with the Echo, maybe with a voice remote control that is continually tuning in for directions.

Businesses and conversational AI

Organizations can utilize Conversational AI to robotize clients confronting touchpoints all over – via web-based networking media stages like Facebook and Twitter, on their site, their application or even on voice aides like Google Home. Conversational AI frameworks offer an increasingly clear and direct pipeline for clients sort issues out, address concerns and arrive at objectives.

Both the terms ‘Chatbot‘ and ‘Conversational AI’ have a similar significance.

How It Works To Engage Customers

1) It’s convenient, all day, every day

The greatest advantage of having a conversational AI arrangement is the moment reaction rate. Noting inquiries inside an hour means 7X greater probability of changing over a lead. Clients are bound to discuss a negative encounter than a positive one. So stopping a negative survey directly from developing in any way is going to help improve your item’s image standing.

2) Customers incline toward informing

The market shapes client conduct. Gartner anticipated that ‘40% of versatile collaborations will be overseen by shrewd specialists by 2020. ’ Every single business out there today either has a chatbot as of now or is thinking about one. 30% of clients hope to see a live visit alternative on your site. 3 out of 10 shoppers would surrender telephone calls to utilize informing. As an ever-increasing number of clients start anticipating that your organization should have an immediate method to get in touch with you, it bodes well to have a touchpoint on a detachment.

3) It’s connecting with and conversational

We’ve just lauded the advantages of having a direct hotline for clients to contact you. Be that as it may, the conversational angle is the thing that separates this strategy from some other.

Chatbots make for incredible commitment devices. Commitment drives tenacity, which drives retention — and that, thus, drives development.

4) Scalability: Infinite

Chatbots can quickly and effectively handle an enormous volume of client questions without requiring any expansion in group size. This is particularly helpful on the off chance that you expect or abruptly observe a huge spike in client questions. A spike like this is a catastrophe waiting to happen in case you’re totally subject to a little group of human operators.

How Businesses Can Use Conversational AI

Your business is speaking with a client for the duration of the time they’re utilizing your item. As far as we can tell conveying conversational AI answers for undertakings, we’ve seen that some utilization cases can use such innovation superior to other people.

Our rundown of the best performing use cases is underneath:

  • Ushering a client in (Lead Generation): Haptik’s Lead Bots have seen 10Xbetter change rates contrasted with standard web structures.
  • Answer questions and handle grumblings when they come in (Customer Support): Gartner predicts that by 2021, 25% of endeavors over the globe will have a remote helper to deal with help issues.
  • Keeping current clients glad (Customer Engagement): Our customers have seen a 65% expansion in degrees of consistency essentially by stopping an intuitive utility chatbot inside their application.
  • Learning from clients to improve your item after some time (Feedback and Insights): Customers are 3X bound to impart their input to a Bot than fill study structures.

Organizations are no special case to this standard, as an ever-increasing number of clients presently expect and incline toward talk as the essential method of correspondence, it bodes well to use the numerous advantages Conversational AI offers. It’s not only for the client, but your business can also decrease operational expenses and scale tasks hugely as well.

By guaranteeing that you’re accessible to tune in and converse with your client whenever of the day, Conversational AI guarantees that your business consistently wins good grades for commitment and availability. So, Conversational AI works all over the place.

Any business in any space that has a client touchpoint can utilize a Conversational virtual specialist. It’s better for clients and for the business. Nothing else matters.