 
							
					
															
					
					 by Anika D | May 19, 2021 | Data Science, Emerging Technology, General
When you hear term healthcare, you may think about medicines, hospitals, doctors, and many other related options. But, in the last ten to fifteen years, the healthcare industry has changed tremendously and has entered in the era of digital health. Now, the digitalization has put a positive impact on technology in healthcare.
Artificial intelligence (AI)-enabled medical devices, telemedicine, and blockchain electronic health are just a few examples of digital transformation in healthcare.  The dependency on health apps has been increased since the starting of the pandemic in 2020.
Further, in this time, many healthcare startups are growing and producing something innovative every day for people. According to CB Insights data, in the third quarter of 2020, this AI healthcare startup has raised more than $2 billion.

Source
Here is the list of some healthcare startups that are transforming the healthcare industry with digital health in 2021.
Fisher Wallace Laboratories
As more and more people are suffering from depression and anxiety, clinicians struggled to meet the demand for mental health services. This is where Fisher Wallace Laboratories has created a unique solution for those with little or no access to therapy sessions or prescription drugs.
The startup has created a cranial electrotherapy device for people suffering from depression and anxiety. It is the only transcranial device available on the market. They have shown promise in clinical trials for treating insomnia, depression, and anxiety. This 20-minute treatment activates the neurotransmitters, including dopamine, beta-endorphin, and serotonin, that helps in lowering the stress hormone cortisol.
HealX
HealX is the new startup that is working on expediting treatments for sporadic (rare) diseases. Their product was awarded as the best AI product in health and extraordinary success in social use of AI in 2020. Their Rare Treatment Accelerator (RTA) program builds a bond between patients suffering from some rare diseases.
The accelerator they created helps discover new as well as effective treatments for patients. Further, the team of HealX includes AI experts, bioinformaticians, and next-generation drug hunters. In October 2019, it raised about $56 million.
Alector
This healthcare startup is working for the cure of neurodegeneration with immuno-neurology. With 40 novel targets and 4 programs, Alector’s program works around the immune system of brain. It helps to combat diseases like Alzheimer’s and dementia. The medical startup raised around $176 million in 2019.
The clinical trial of Alector program related to frontotemporal dementia showed early positive signs. In the U.S and European Union, more than 170,000 people are suffering from this devastating disease.
Rally Health
It is another healthcare startup that is transforming the health care system. It provides personalized, data-driven health-related information while improving outcomes. People can monitor their health status, and can discover the right medical professional for them with Rally Health.
Its platform includes both self-learning and interventions to prevent chronic diseases.
Final Words 
The demand for digital health startups is increasing. With technology changing every day and investors opening their doors for heath startups, the foundation will take us into a new era for healthcare and digital health.
 
				
					
			
					
											
								 
							
					
															
					
					 by Anika D | May 15, 2021 | Emerging Technology, Industrial IoT
The number of Internet of Things (IoT) devices such as smartphones, fitness watches, and more has doubled over five years. You can find these things everywhere with you, from remote-controlled electrical devices in your home to technologies that track your fitness level 24/7. 
The switch to mobile devices has transposed the process in which you interact with the world around you. The usage data by the IoT devices give you important information about the user’s preferences, behavior, and interests. This causes the origin of the concept of the Internet of Behavior (IOB).
What is the Internet of Behavior (IoB)?
The IoB refers to a concept that tries to grasp the information or data collected from user’s online activities according to a behavioral psychology perspective.
The concept investigates to address the matter of how to perfectly understand data and how to relate the interpretations to make and sell new products from an individual’s psychology perspective.
It’s also one of the innovations driving the future logistic industry.
The value of the Internet of Behavior:
The IoB is a powerful marketing and sales tool used in businesses and various organizations around the world. Using this tool, you can get in-depth knowledge and understanding about your valuable customers, which is mandatory for the growth of every business.
Benefits of IOB: The Internet of Behavior has the following benefits which help companies to analyze the past performance of a product and predict the future. Moreover, it helps to generate a considerable boost in the growth and development of the sales industry:
- Analyze customer purchasing habits across different platforms
- Provide real-time point-of-sale notifications and target ads
- Study data about how customers interact with devices and products
- Gain deeper insights into where a customer is in buying journey
- Quickly resolve customer issues and keep customers happy
The brand-new tool of digital marketing:
The IOB influences consumer behavior and the marketing platforms used to get their attention. The following points will explain that how IoB will boost marketing behavior and more:
- Big Data: With IOT, you can get information from multiple points that help you to explore the customer’s interest in the product, his journey to purchase, right up to the point of purchase. In addition, you will find new ways to interact with consumers to connect with the brand at an earlier stage.
- Vast opportunities in the market survey: With the increase of IoT at your home, organizations will split their target audience into smaller niches to establish tailor-made contributions for the target audience. 
- Access to consumer lifestyle information: The concept of Internet Behavior consists of a study of consumer behavior on social sites and other platforms and knowledge about their daily lifestyle.
- Improving SEO: The use of artificial intelligence technology such as Apple Siri, Amazon Alexa, and Google Home explains that search engines look for understanding the user’s intentions, not just recognize keywords. 
Other cases of using IOB:
- During the pandemic, organizations began to use IoB to determine that a person is wearing a mask or not. Also, thermal imagers are useful to identify people who have high body temperature.
- The smartphone allows you to track an individual’s geographical position. Also, this is how Uber uses IoT data to check the audience’s choices and find approaches to customers. 
- The facial recognition system determines sex, age, and mood. 
Final Words
IOB is essential to maintain a balance between personalized offers and customer reactions. In addition, it is necessary as it displays a high level of security to customer information. So you must learn about IOB.
				
					
			
					
											
								 
							
					
															
					
					 by Anika D | Apr 30, 2021 | Artificial Intelligence, Emerging Technology, Information Technology
Modern technology is transforming the future of the logistics industry with innovation and revolution. It’s going through a speedy and unprecedented transformation.
In addition, logistic is the key to a successful business as it enables worldwide fleet movement and cross-continent deliveries. It helps the organization to serve the end product to customers.
Also, the present situation of COVID-19, its pushing inventions and innovations in logistics to a higher level. The revenue management, seamless communication, and fleet monitoring become more flexible and resourceful. Technology is also helping recover from COVID-19.
Role of Technology In The Logistics Industry
Here are few innovative trends that drive the logistic industry –
Cloud Computing
Virtualized pool of figuring resources, cloud computing assists with data storage, networking, and artificial intelligence over the internet, software, and analytics.
It becomes efficient when you implement cloud computing approach to logistics software that includes activities like fleet management and order management.
Fleet management is an excellent application for cloud computing. Every movement can be redirected through cloud-based logistics to avoid damage to the business.
Robotics
A new trend in the innovation world, robotics have become a dominating factor in logistics advancement. In addition, with the arrival of mechanical engineering and machine learning algorithms, modern robots are smart to use.
Moreover, robots are becoming popular in the logistic industry, as they enable efficient goods delivery, pickup, distribution, and more.
Drones
Over the last few years, drones have gained greater media attention. It’s tested by DHL that drone delivery will prove beneficial in areas with a lack of infrastructure. Also, rural areas are found to be more relevant for drone deliveries since cities provide various challenges.
Data-Driven Analytics
With the enhancement of warehouse productivity and optimal utilization of logistical resources, data analytics will help in providing actionable insights. Moreover, the data analysis enables the business in inventory levels and generation of the risk management reports.
Technologies are shaping the logistics industry today and contribute to higher data analytics in the logistics field. These is the role of technology in the logistics industry.
				
					
			
					
											
								 
							
					
															
					
					 by Anika D | Apr 9, 2021 | Artificial Intelligence, Industrial IoT
Our lives stood still when Covid-19 hit us. We all moved to remote working. In these times, technology has been our saviour. It has helped us in educating people and creating awareness towards the pandemic.
Also, it has helped us to connect with our near and dear ones even during the lockdown. It was because of technology that contact tracing and contactless movements all over the world were made possible. 
Technology Uses for COVID-19 Recovery
Contactless Thermal Screening 
One of the most common symptoms of covid-19 is fever. It would have been nearly impossible to check everyone’s temperature using a thermometer. With the technique of Artificial Intelligence, digital thermometers have been brought into play. They have been extremely useful at airports, malls, restaurants and all public places.
Contact Tracing
One of the most interesting uses of technology has been brought into play by South Korea. They have been very successful in contact tracing via the use of cameras, bank records, GPS from mobile and vehicle to check the real-time data of a person’s whereabouts. 
China has also developed a QR code system. In this, the person fills up a small form, gives information like their temperature and lets the authorities keep a check on their movement. This was very useful in cases of home quarantine.
CT Scan
Wondered how to know how much covid-19 has spread in one’s body? Well, with the help of another advanced technology in the field of medical science. CT scan provides internal images of the body, and within seconds, the doctors can figure out its spread towards the lungs. 
Work from Home 
The work from home that we’re all relying on right now is only due to the advancement of technology. Due to the network connectivity and cloud platforms, we can now easily save, upload and send data with full protection. The 5G technology may also empowering this new work culture in the future.
Contactless Movement
We’ve all heard about drones, robots etc. However, in China, they were used to fight coronavirus. Spraying disinfectant using drones and providing basic essentials using robots provided contactless movement in the country. Apart from this, drones were also used to carry testing kits, medicines and checking over the quarantine locations. 
Fighting Misinformation 
During this time of the pandemic, it needs to be made sure that no misinformation is spread. With the help of technology such as adding voice messages, giving information regarding the safe use of vaccines needs to be given to people. Google, Facebook, YouTube has also worked towards guiding people regarding the same.
Transparency in Data Sharing
During these times, it is imperative that everyone is aware of the number of cases and correct facts regarding the coronavirus. Applications like Tik-Tok, which gained fame during the pandemic, patterned with WHO to do the same. It has also donated nearly $10 Million to fight with the same.
Conclusion 
With the world constantly moving towards digitalization, there has been an advancement in the use of technology. It is because of this technology we were able to limit the spread of covid-19. With the help of Artificial Intelligence, low cost ventilators have been developed. It is at times like these we realise the true use of technology. Salute to all those working day and night tirelessly for making our life easier. These are top technology uses for COVID-19 recovery.
				
					
			
					
											
								 
							
					
															
					
					 by Anika D | Apr 1, 2021 | Emerging Technology
Nowadays, you can observe a constant emergence in technology. Artificial intelligence is growing at a fast pace, and it has the potential to completely transform your businesses.
AI is continually influencing all facets of your daily lives as well. Therefore, various tech firms are building cybersecurity defense resolutions for the same.
These are specially made by ethical hackers and penetration testers with the mind to save people. Hence it becomes important to choose the right wireless technology for your organization.
In this guide, you will learn everything you need to know about reinforcement learning.
What is Reinforcement Learning?
It is the procedure of machine learning about different models to build a progression of decisions and is the next big thing for AI. This then helps the programmer to discover how to attain a goal that depends on complexity as well as the uncertainty of the environment.
Here, your computer system will use a trial-and-error method for a solution to a problem. You can either reward or give penalties to the AI for every action that it performs for you. In this way, it helps artificial intelligence to make the best use of the total reward.
Some key terms that you must know for reinforcement learning:
- Agent: Who acts to obtain the reward.
- Environment: It is the situation which agents face during the performance.
- State: It is an existing situation that comes back from the environment.
- Reward: This is an immediate return that an agent receives when they perform any action.
-  Value: It is a predictable long-run return with a discount in comparison to the short-term reward.
- Policy: This is a strategy that agents use for their decision to perform the following action
- Q value: The Q values assist agents in taking additional constraints as current actions.
Different Types of Reinforcement Learning
Basically, there are two types of it that are positive reinforcement and negative reinforcement.
Positive Reinforcement
It takes place when there is an increase in the event’s strength and frequency due to a particular behavior. It means that there is a positive effect on the behavior.
Benefits of Positive Reinforcement
-  It facilitates sustaining change for a long period.
- It helps to make the most of performance.
The Drawback of Positive Reinforcement
- When the reinforcement is too much, it will lead to an excess of states and reduce the result.
Negative Reinforcement
This is a process where the system avoids unfavorable conditions, and then the specific behavior becomes strong.
Benefits of Negative Reinforcement
-  Decline the least amount of performance standard
- It helps to boost the behavior
The Drawback of Negative Reinforcement
- It only allows the agent to assemble the minimum behavior of their actions
Algorithms of Reinforcement Learning
There are three ways that programmers can employ to execute a reinforcement learning algorithm that is value-based, policy-based, and model-based.
Final Words
We can say that reinforcement learning is a crucial AI paradigm that helps programmers execute both simple and complex tasks.