While the COVID-19 pandemic affected numerous aspects of how we do business, it didn’t reduce the impact of Artificial Intelligence(AI) on our day to day lives. It is turning out to be obvious that self-teaching algorithms and intelligent machines will play an important role in the ongoing battle against pandemic and others that we face in the near future. It is obvious that AI remains in trend and will change how we live, work and play. Artificial intelligence is a reason behind many technological comforts that are our daily lives, like smart gadgets, netflix recommendations, amazon’s alexa and Google Home. With continuous research, technology has made huge developments in fields like retail, healthcare, automotive, manufacturing and finance. Artificial Intelligence will keep on serving as a central technological innovation in 2021 and in the future. Let u see what we can expect in years to come.
Hyperautomation is a tech trend popular with other names as “Digital process Automation” and “Intelligent Process Automation”. It combines the appropriate technologies for automating, simplifying, discovering, designing, measuring, and managing workflows and processing across the organization. COVID-19 pandemic has rapidly increased the adoption of this concept where AI and ML are key components and its significant drivers. It includes some other technologies like robotic automation tools, but successful initiatives can’t depend on static packaged software. It is necessary for automated business processes to adapt changing circumstances and respond proactively to unexpected situations. Here comes the role of AI, ML models and deep learning. Adopting these algorithms and models with automated system’s data to make enhancements timely and respond to changing process and requirements of the business.
Augmented analytics uses ML and AI technologies for data preparation, insight generation, explanation to expand the way of exploration, data analysis in analytics and BI platforms. Artificial intelligence is proving to be a critical enabling technology, and enterprises need an efficient way to scale their AI practices and implement AI in business. Most of the times, organizations face high pressure to optimize their workflows, many companies will approach to BI teams to develop and manage AI/ML models. This empowers a new class of BI-based “AI developers” that will be driven by two factors-
1. empowering BI teams with AutoML platforms is more sustainable and scalable than hiring dedicated data scientists.
2. Because BI teams are closer to business use-cases than data scientist, the life-cycle from “requirement” to the work model will be accelerated.
Many BI vendors will offer AI capabilities like natural language processing, text analytics, predictive dashboards and so on.
The most creative approach to deal with client queries is using Chatbots. Conversational AI bots bring the power of AI through Natural Language Processing (NLP) and Natural Language Understanding (NLU). It allows the functionality of buttons and facilitates customer queries. Conversely, conversational AI Bots provides unlimited scalability with the help of machine learning. Natural language processing provides human experience to customers. With the help of conversational AI bots, users can file insurance claims, book healthcare appointments, apply for jobs, block their financial cards and so on. This helps businesses to automate their customer support, sales and knowledge support. For instance, companies can help employees not answer repetitive questions from clients or employees by automating the process. Conversational AI bots will manage all incoming queries through Automatic Semantic Understanding.
AI and Machine learning plays an important role in cybersecurity systems for both home security and corporate systems. Cybersecurity developers are continuously putting efforts on updating technologies to deal with new threats, DDS attacks, malware, ransomware and so on. AI and ML can help to identify these threats with earlier variants of threats too.
AI supported cybersecurity tools can collect data from the organization’s communication networks, transactional systems, digital action, websites, and also external public sources, and use AI algorithms for recognizing patterns and recognizing the threatening activity —, for example, searching suspicious IP addresses and possible data breaches. Today use of AI in home security systems is limited to systems that are integrated with user’s video cameras and alarm systems integrated with voice assistant. A popular research firm IHS believes that the use of AI will increase to develop smart homes in which the system knows habits and choices of occupants by improving its ability to identify intruders.
Today’s AI games don’t have robust environment for users. This is because of the lack of data storage needed to create these environments. The new advancements in AI technology will help in virtual gaming. You can expect the upcoming virtual games to be more realistic and interactive. Through machine learning, games can advance later on depending on character development taken by the user. Game developers are expected to learn new skills in AI to stay aware of the demands of its users, who at this point don’t remain content with the visualization. By incorporating virtual reality and 3D augmentation, they expect to enjoy games close to real life.
Big Data has been widely used to recognize COVID patients and critical hot points. AI is helping the healthcare sector with high accuracy. Apart from this, researchers have developed thermal cameras and mobile apps to monitor temperature of the human body and collect data for healthcare organizations. With the use of data analysis and predicting various outcomes, AI can support healthcare facilities in unique ways. AI and ML instruments offer insights into human health and also recommend preventive steps to avoid the spread of diseases. AI solutions helps doctors to track patient’s health remotely by teleconsultation and remote care.
The legal industry is searching AI trends that are being introduced each year. Machine learning combined with AI and law operates as per similar standards, where the both assess historical examples to infer rules to apply to new circumstances. AI software helps legal professionals by reducing the time required to read compliance and checking on due diligence for all legal protocols. As software controls the menial tasks of reviewing and error checking documentation and other manual processes, it will decrease the load on the legal experts. Lawyers can spend more time on researching cases, creating contracts, counseling clients and court representations. Thus, legal aid will be effectively available to everyone as costs change depending on workload and time on each case. AI software can make efficient contract revision by highlighting standard clauses for different apps and flag missing clauses. In future, AI can control record keeping roles like document management.
Due to Covid-19, we saw many chains getting disrupted, small and medium businesses crushed, shortage at grocery stores and online store are running out of stock for necessary items. As companies make recovery plans, producers urgently need to be more resilient and transform operations using new technologies. Industry 4.0 initiatives will transition from PoCs to production. Various data will be investigated automatically to discover hidden patterns and reveal insights. Stream processing will empower producers to make intelligent decisions with real-time applications, like, predicting supply chain disruption or preventing unplanned downtime. Sensors and real-time quality monitoring will reduce product recall as the manufacturing world accepts predictive and prescriptive analytics. The convergence of AI/ML, IoT and real-time analytics will make manufacturing efficient, resilient and agile.
Know the reasons to use artificial intelligence in your business at- Why you should use artificial intelligence into your business?
During the pandemic, we all saw online education as a new way of education. Companies are trying to adapt the AI trends to assess the performance of students on their knowledge and customize curriculum and study plans. AI helps educators to provide better curriculum, study plans and teachers can ensure students progress. AI tools can help teachers and students with transcribing lectures. Thus, teachers don’t need to type anything and students with disabilities can continue to learn without any disturbance. AI tools make use of 3D technology to bring textbooks to short demos, this helps students to visualize the subject matter they are studying. It helps for better understanding of concepts.
Edge computing provides gadgets with servers and data storage to access their devices and allows them to put data into them. It is also expressed as a data processing real time and is powerful than cloud computing services. Another instance of edge computing carried on nodes. This is a mini-server located in the vicinity of local telecommunications provider. Nodes helps to fill the gap between local service providers and cloud. It provides quick service by saving cost and time.