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Firms have now become fully recognized for the amazing possibilities of chatbots. Seemingly, chatbots book meetings, offer support, collect information, and much more. Due to the endless dynamics of chatbots, 2021 will have new trends for them. So, what are they? Let’s take a look around with this article.

1. Human intervention in chatbot conversations

Most customers may have reservations about talking to dull robots. Hence, firms have begun to recognize the importance of crafting messages that are appealing to customers. Artificial Intelligence and Natural Language Processing (NLP) can help the humanization process of chatbots easier.

2. Expected growth of chatbots in messaging platforms

Integration of chatbots in messaging platforms invites many benefits for firms. Earlier, they had to hire employees to conduct live chats with prospective customers. However, chatbots save firms money and time.

3. More customer-oriented relationships

Customer handling becomes quicker and easier with chatbots. Chatbots help firms in the customer retention process. They help organizations collect and aggregate consumer feedbacks quickly. This helps in a faster decision-making process.

4. Internal workflows becoming more streamlined

Other than customers, chatbots can also improve employee engagement processes. Thereby, support agents can dedicate their time to more complicated tasks. Employees can rely on chatbots to clear their queries.

5. HR processes such as recruitment: HR is becoming acquainted with the seeming possibilities of Chatbot integration in respective firms. Chatbots are becoming highly reliant on normative HR tasks such as filtering and screening candidates during the recruitment process can become lot easier with Chatbots.  

Distributed Ledger Technology or rather Blockchain technology, is becoming the new norm of techies. So what exactly is Blockchain technology? Blockchain technology simply refers to a database. However, it has several points of differences that make it different from nominal databases. Let’s get into those facts next.

Data structuring is different in normal databases and blockchain technology. The structuring format of blockchains is entirely different from existing databases. The data chucks where data storage occurs form connective links. Yes, you guessed it right! That’s where blockchain technology gets its name from.

 Blockchain also adopts decentralization in its processes. This is actually helpful during the event of data tampering. The interconnected blockchains cross-reference each other to supplicate lost or missing data. Bitcoin uses blockchain and relies on this specific feature of blockchain technology to make things work.

Due to its decentralized characteristic, the processes of blockchain technology is intrinsically transparent. With blockchain explorers, connected chains can view each other’s processes. Now, that makes one wonder about the security aspect of Blockchain. Well, blockchain is secure from hackers or other cyber criminals due to its interconnectivity. A hacker who attempts to tamper with information will have to attempt the same with all blocks encoded in the chain. Else, the version he has tampered with will stand out.

Python may sound complex for the faint-hearted. Be assured folks, it is a simple programming language with numerous benefits. Wondering what they might be? Read on to know the real-world applications of python.

• Desktop GUI

Python allows access to Tkinter which can help developers create better user interfaces. Popular toolkits that come with python programming include Kivy, PYQT, wxWidgets, etc.

• Web development

The development and deployment of web-based applications are relatively superfluous with python programming. Common-backend logic allows the easier integration of SSL, FTP, HTTPS, etc. The processing of E-mail, XML, and JSON is much faster with python.

• Gamming applications

Interactive games can become a reality with python. Arguably most famed gaming developers rely on python to develop trending gaming applications. Disney’s Toontown Online, Vega Strike, etc.

• Artificial Intelligence & Machine learning

Most AI users rely on python due to its simplicity. Users can simply understand solutions after they become versed with the code.

• CAD applications

Computer-Aided Designing has become notorious due to its complexity. However, with python, the applications of Python become a lot easier.

• Embedded applications

Using python, developers can model Embedded C software for embedded applications. Thereby, higher-level applications can be created easily through python.

Artificial intelligence is holding huge potential for 2021. Though the ongoing COVID pandemic had altered life situations, the possibilities for AI are endless for the upcoming year. Presently, innovative technologies like IoT, robotics, big data have set their sights on AI.

                  Other than the huge potential of AI in the technology sector, AI will have a huge impact on business undertakings. AI can expand the organizational working of the firm through customized manufacturing, holographic meetings, and simulative environments.

                   Rohan Amin, the CIO of Chase sets high hope for AI in 2021. According to him, “In 2021, we will see more refined uses of machine learning and artificial intelligence across industries, including financial services. There will be more noteworthy incorporation of AI/ML models and abilities into numerous business operations and processes to drive improved insights and better serve clients.”

Trends in AI

• The artificial intelligence of things (AIoT)

         The artificial intelligence of things (AIoT) combines AI and the Internet of Things (IoT) to improve the data connectivity of devices. Simply put, AIoT makes lives easier for users. Technologies like smart office technology allow users to make critical decisions at the snap of their fingers.

• Hyperautomation

         The integration of AI with robotic process automation will transform upcoming digital applications. The ongoing pandemic scenario has proven the necessity of automation in workplaces. Since hyper-automation is an up-gradation of automation,

• Cybersecurity AI

          Cybersecurity has become an increasing concern as technologies are updated. Therefore, sophisticated technological inventions like cybersecurity AI can improve the dynamics of security and privacy.

• AI-enabled chips

            The processing power requirements of AI devices are much more complicated than non-AI devices. 2021 will see the production of AI chips that can fulfill the requirements of AI devices.

Latest updates in AI

             Thanks to AI, researchers could only roll out vaccines for human testing, mere three months after initial COVID case reports. Researchers were able to process specifications of the COVID virus with innovative AI technology. AI has improved the rollout of robotaxis and helped enable automatic driving. Well, AI has sure lot more to offer in 2021.

Augmented reality (AR) helps users experience a different sense of digital reality with enhanced user experience. Examples of AR include Snapchat lenses and the game Pokemon Go. 

Virtual reality (VR) takes users into a complete immersion experience where they lose all sensory experiences of the physical world and enter a virtual experience. VR devices like HTC Vive, Oculus Rift or Google Cardboard, takes users into a different environment which gives them a varied user experience.

In a Mixed Reality (MR) experience, both AR and VR, real-world and digital objects interact to give users an otherworldly digital experience. Mixed reality technology is becoming prominent with Microsoft’s HoloLens.

Extended Reality (XR) is an umbrella for all technologies that improve user senses. XR can provide additional information about physical environments or take users to experience totally unreal, simulated worlds. Examples for XR technology include, Virtual Reality (VR), Augmented Reality (AR) and Mixed Reality (MR) technologies.