SEO Texas, Web Development, Website Designing, SEM, Internet Marketing Killeen, Central Texas
SEO, Networking, Electronic Medical Records, E - Discovery, Litigation Support, IT Consultancy
Centextech
NAVIGATION - SEARCH

Need Of Robots In Hospitality Services After COVID-19

Hospitality industry is an umbrella term that includes lodging, food & drinks, event planning, theme parks, and transportation. The industry requires human-to-human interactions to maintain its operations. However, the spread of COVID-19 has caused a shift in the way humans interact with each other. In order to attract tourists and visitors, the hospitality industry needs to reassure the guests that their visit will be compatible with minimal social interaction and human contact.

This has given rise to the need for employing robots in the hospitality sector. Here are some ways in which robots can be used to suffice the needs of the hospitality industry:

  • Hotel Management: It is a major part of the hospitality sector. Hotel management involves numerous tasks such as concierge, front desk, room service, cloaking, etc. These tasks require human interactions. However, robots can be used to efficiently complete these tasks while avoiding the need for human contact.
  • Touch Less Check-in: Due to the growing need for no-touch technology, hotels are required to adopt new ways of facilitating check-in for the guests. Robotic technology can be used to incorporate convenient options such as fingerprints or iris & face detection instead of room keys.
  • Bookings: Chatbots are commonly being used by many hotel chains and travel companies to assist their customers in completing simple tasks such as making online reservations. However, COVID-19 spread has given rise to the need for making use of robots for in-person bookings as well.
  • Assistance: It is expected for the guests to be highly curious and vigilant about their travel and stay after COVID-19. Robots can be used as assistants at airports and hotels to assist visitors with their queries about safety, travel, ongoing events, etc. The robot assistants can also help the visitors by escorting them to their rooms.
  • Serving Food: Taking order and serving food to guests at a restaurant or hotel requires close human interaction. Service robots can help the hospitality sector in combating this issue. These robots are capable of face and voice recognition to remember the order and deliver food to the concerned guest.
  • Customer Satisfaction: In order to improve profits after COVID-19, hospitality managers are required to find ways for improving customer satisfaction for attracting a larger number of guests. Robots integrated with AI can be of immense help to the managers. They can be used to understand a guest’s behavior by tracking his history of bookings, type of services availed in the past, etc. The robots can use different software to recognize a guest and deliver customized services based on his behavioral history.
  • Security: Security checking at hotels and airports is essential to ensure the safety of guests. Security robots equipped with features such as autonomous detection of concealed weapons can be used to make the guests feel more secure. These robots will enable the hospitality industry to conduct security checks without the need of individual checking by human security staff.

For more information on need of robots in hospitality service, call Centex Technologies at (972) 375 - 9654.

Key Role Of Connected Devices During A Pandemic

The advent of new technology has proven to be very helpful in combating diseases, especially pandemics such as COVID-19. If applied properly, technologies such as IoT, AI, and Big Data Analysis can be used to decelerate the propagation of the pandemic and avoid global health crisis in the future. Another technology that can be of immense help during a pandemic is ‘Connected Devices’.

Some applications of connected devices during a pandemic are:

  • Monitoring Of Trends: Wearable devices, such as fitness bands, are widely being used for monitoring data such as activity, heart rate, sleeping patterns, etc. The data collected by these devices is continuously sensed and uploaded to the cloud. A thorough analysis of this data can help in the timely and accurate detection of trends that may be indicative of a population-level outbreak of any disease.
  • Changing Patient Care Habits: A major concern during fighting a pandemic is to minimize contact with an infected carrier. Thus, isolation of patients is an important preventive action needed to control the spread of the pandemic. Connected devices such as thermometers, blood pressure monitors, glucometers, inhalers, etc. can help the patients in sending their health stats to the health care providers without the need of visiting the clinics. This reduces the risk of exposure. As these devices can be connected over a cellular network, patients can update their data from any location, regardless of the availability of WiFi coverage. Additionally, connected out-of-box cellular-based devices do not require the patients to have any knowledge of setting up a LAN/PAN connection.
  • Quarantine Compliance: Smart cellular wristbands can be used to monitor the patients quarantined in their homes. These smart cellular IoT wristbands are small in size and have long battery life. The ability of these IoT wristbands to connect over a cellular network facilitates them to function independently from the patient’s smartphone. This helps the city management in ensuring that the patients are complying with quarantine rules.
  • Improving The Reaction Time: Reaction time is a key factor in combating any pandemic. However, the timely reaction needs timely monitoring of symptoms and detection of contamination chains. Connected monitoring devices can help organizations, airports, malls, etc. in the effective and timely monitoring of people. These devices can also help in efficient monitoring of remote patients by healthcare professionals. This will help in the early detection of a pandemic resulting in reduced reaction time.

For more information on the key role of connected devices during a pandemic, call Centex Technologies at (972) 375 - 9654.

Why Is Medical AI Gaining Prominence?

Outbreak of new diseases puts immense pressure on the healthcare system. Factors such as limited resources, a sudden rise in the number of patients, lack of established treatment, and vulnerability of medical staff add to the pressure on the healthcare system. In order to combat the outbreak of new diseases effectively, healthcare professionals require faster diagnosis, rapid response, effective use of human resources, and ensuring the safety of medical personnel.

In this scenario, medical AI is proving to be of immense use. Although the use of medical AI is not a new concept, the applications of medical AI have widened with the outbreak of new diseases and pandemics such as COVID-19.

  • Diagnostics: Diagnosis of some diseases may require the doctors to compare a large number of CT Scans, check medical history, or other detailed reports. This is a time-consuming process and may result in delayed treatment causing negative effects, specifically in time sensitive cases. AI software helps in analyzing large amounts of patient data to assist doctors in diagnosing patients at a greater pace. This assists in lowering the treatment time.
  • Risk Profiling: In the case of diseases that are contagious and spread easily, it becomes imperative to track the patients, travelers, tourists, etc. This helps in building a risk profile of the individuals. But manual profiling is time-consuming and prone to errors. On the other hand, AI-based risk profiling software has capabilities of historical geolocation and anomaly tracking of individuals in an efficient manner.
  • Optimizing Drug Therapy: Effective and proper treatment of a new bacterial or viral infection requires a combination of different drugs. However, the process of searching for suitable drug molecules can be laborious, time consuming, and costly. It also requires numerous trials and can involve manual errors. AI-based systems help in optimizing the drug discovery process by searching the databases of complex drug molecules and matching the drug molecules with the target proteins. This reduces the research time and increases efficiency.
  • Assistance For Medical Staff: AI-based apps can help the healthcare staff in gathering relevant information such as hospital-specific information, latest guidelines, operational directives, new treatments, protocols, drug dosage, and drug formulary. Well-trained AI systems can be used to analyze a patient’s reports and assign the case to a relevant specialist in the hospital.

For more information on increasing applications of medical AI, call Centex Technologies at (972) 375 - 9654.

Why Is Medical AI Gaining Prominence?

Outbreak of new diseases puts immense pressure on the healthcare system. Factors such as limited resources, a sudden rise in the number of patients, lack of established treatment, and vulnerability of medical staff add to the pressure on the healthcare system. In order to combat the outbreak of new diseases effectively, healthcare professionals require faster diagnosis, rapid response, effective use of human resources, and ensuring the safety of medical personnel.

In this scenario, medical AI is proving to be of immense use. Although the use of medical AI is not a new concept, the applications of medical AI have widened with the outbreak of new diseases and pandemics such as COVID-19.

  • Diagnostics: Diagnosis of some diseases may require the doctors to compare a large number of CT Scans, check medical history, or other detailed reports. This is a time-consuming process and may result in delayed treatment causing negative effects, specifically in time sensitive cases. AI software helps in analyzing large amounts of patient data to assist doctors in diagnosing patients at a greater pace. This assists in lowering the treatment time.
  • Risk Profiling: In the case of diseases that are contagious and spread easily, it becomes imperative to track the patients, travelers, tourists, etc. This helps in building a risk profile of the individuals. But manual profiling is time-consuming and prone to errors. On the other hand, AI-based risk profiling software has capabilities of historical geolocation and anomaly tracking of individuals in an efficient manner.
  • Optimizing Drug Therapy: Effective and proper treatment of a new bacterial or viral infection requires a combination of different drugs. However, the process of searching for suitable drug molecules can be laborious, time consuming, and costly. It also requires numerous trials and can involve manual errors. AI-based systems help in optimizing the drug discovery process by searching the databases of complex drug molecules and matching the drug molecules with the target proteins. This reduces the research time and increases efficiency.
  • Assistance For Medical Staff: AI-based apps can help the healthcare staff in gathering relevant information such as hospital-specific information, latest guidelines, operational directives, new treatments, protocols, drug dosage, and drug formulary. Well-trained AI systems can be used to analyze a patient’s reports and assign the case to a relevant specialist in the hospital.

For more information on increasing applications of medical AI, call Centex Technologies at (972) 375 - 9654.

Building Your First Start-Up App

Every start-up faces two main challenges - testing the risk assumptions and collecting the maximum amount of validated information with the least efforts. Your first start-up app should offer solutions to these two challenges. There are no set layouts on how your first app version should look, however, there are two main guidelines every entrepreneur should be aware of:

  • It Must Be An Answer To A Problem: The goal of first app version is to find out if your unique feature is valid enough to help you compete against the existing competitors in the market. Make it a point that app features should present the core of your solution in a compelling light. If the users are not convinced by the value of the core solution, they would not care to switch even if you provide add-on features.
  • It May Not Be Automated: While automation may be a good feature to be included in an app, the first version of your start-up app need not be automated as far as it solves the user’s problems and allows you to test the risks. The purpose of your first app version is to help you de-risk the start-up and build your business on a stronger foundation.

Additionally, there are some key characteristics that you should keep in mind for building a successful start-up app:

  • Simple To Use: The first and foremost characteristic that accounts for the popularity of an app is the simplicity to use. While it may be tempting to incorporate a lot of interesting ideas and third party widgets, it is important to keep in mind that the app will be used on mobile devices with limited screen dimensions. Thus, provide a simple user interface that is easier to use.
  • Abolish Clicks: Attracting users to your app is important; making them stick to your app is equally necessary. Although, collecting user information is one of the underlying purposes of a app, do not overwhelm the users with multiple questions. Try to ask a minimum number of questions, banish unnecessary clicks, and avoid multiple taps in navigation.
  • Multiple Device Compatibility: It is understandable that users are most likely to access the app on mobile devices so, make sure that your app is compatible with all the popular Operating Systems used across mobile devices such as iOS, Android, etc. Also, try to keep your app compatible with up to 2 versions prior to the latest update of these operating systems.
  • User Feedback: Be sure to include the user feedback section in the app. It will provide valuable information about how your app works, ease of use, and improvements that users expect.
  • Security: Security is crucial for the success of any app. Users will provide their details only if they are sure about the security of an app. So, pay attention to data security and other cyber security aspects of the app.
  • Analytics: Analytics will help you to track user behavior while using your app and shed light on the feature that accounts for maximum user retention. This will allow you to develop popular features and work towards making your app succeed.

For more information on building your first start-up app, call Centex Technologies at (972) 375 - 9654.

Making Data Analytics Human For Decision Making

Data intelligence is an important aspect of every organization. It lays the foundation for data analytics and decision making by the company executives. However, data collection and analysis are conducted by computers that store them in languages that are not comprehendible by humans. Thus, in order to facilitate decision making, it is imperative to make data analytics available in natural human languages.

Once the metadata is annotated in human languages, it provides information about events such as when, what, where, how and why they occurred. When the information is available in tangible form, it can be used to gain situational awareness and stimulate thinking by forming patterns or relationships between data. Formatting the data by forming visuals such as tables, charts, and graphs help in understanding the patterns and interdependency of various factors. This understanding defines the course of future actions to achieve desired organizational goals.

In order to understand how to make data analytics human for decision making, let us consider the following aspects:

Type Of Data:

Traditionally, metadata management focused on technical metadata including platform, structure and physical characteristics. However, as the business organizations are now relying extensively on data analytics, equal focus is being laid on collection and correlation of business metadata (business rules, associated applications, and business capabilities) and semantic metadata (business terminology and ontology).

Finding Data Patterns:

A large amount of data is collected on a daily basis. But in order to gain meaningful results, it is required to understand the relationships in the data. An example of data mapping for understanding interrelationships between entities, their properties and relationships is ‘Knowledge Graphs’ pioneered by Google. Although such graphs provide good information, they alone cannot be used for reliable decision making. Thus, more related data has to be collected from parallel platforms and databases to create a ‘Knowledge Platform’.

As the information is classified in classes and concepts across different datasets, it makes it easier to interlink and find related information. Businesses tend to make use of query languages to search for information across the contents of enormous datasets.

Narratives:

After understanding the patterns of data, the next step is to form a data narrative. It includes reasoning and learning in addition to data patterns. To create a narrative, it is important to understand three things:

  • Types of questions that may be asked based on data patterns
  • Answers to these questions
  • Questions that will arise based on previous answers

Data patterns may indicate information such as the effect of a variable on business metrics. But data narrative includes answers to questions such as ‘If metric goes up with time, how will it affect the business?’, ‘Does the metrics accumulate over time or is it point-in-time?’ and ‘What does it mean for our sales?’.

Decision Making:

The data narrative forms the basis of decision making. The decision makers of an organization analyze the narrative, visualize the supporting data, and test the hypothesis to identify gaps. The final decision conveys the required actions for achieving business innovation and goals.

For more information on making data analytics human for decision making, call Centex Technologies at (972) 375 - 9654.

Drug Discovery Through Artificial Intelligence

Artificial intelligence has garnered immense applications in various industries including banking, manufacturing, and healthcare. A branch of healthcare that is benefitting from Artificial Intelligence is the ‘Pharmaceutical Industry’. It is met with new challenges in the face of new viruses, mutated antigens, drug-resistant strains, etc. on a daily basis. Additionally, it has become common to see the rendition of once eradicated diseases such as polio. Under these conditions, traditional R&D can be very time consuming and costly.  

Traditional drug discovery methods are objective driven and work well for targets whose structure and interactions in the cell are understood. However, most of the cellular transactions have complex pathways.

In order to overcome these challenges, Artificial Intelligence-powered drug discovery offers an effective alternative. Following are the ways in which AI transforms the drug discovery process:

  • AI-powered drug discovery follows a data-driven approach that is based on the vast patient datasets. The data is studied and categorized by complex algorithms into understandable information for facilitating drug discovery at a faster pace.
  • It applies machine learning to study new incoming data for recognizing new opportunities and information.
  • The algorithms search through vast databases of compound structures to identify a compound that can bind to the antigen protein (even if the structure of the target protein has not been yet identified). This saves a lot of time when compared to manual screening of compounds that can act as drug candidates.

How It Works?

  • The first step is to take sample from people with and without a disease. Also, samples are taken from people who are at different stages of disease progression.
  • The sample data is then extracted into genomics, proteomics, metabolomics and lipidomics for identifying the target.
  • AI and Machine Learning software study the information to identify any differences between the disease and non-disease states, proteins, and other features that may impact the disease state.
  • The identified proteins and metabolites are considered to be target candidates by the software.
  • The candidates are then queried against databases of patents, publications, chemical libraries, clinical trials, and approved drugs. This facilitates a precision-medicine approach by offering a means to triage the patients in an in-silico manner before entering a clinical trial to determine the effectiveness of a potential drug.

Benefits Of AI-Driven Drug Discovery:

  • AI does not rely on predetermined targets which rules out the chances of subjective bias.
  • AI amalgamates the latest technology in biology and computing to develop algorithms for drug discovery.
  • AI offers high predictive power to define meaningful interactions in drug screening. This reduces the chances of pursuing false potential drugs.
  • AI moves drug discovery to a virtual lab where screening results can be obtained at a faster pace and efficiency.

For more information on transforming drug discovery through AI, call Centex Technologies at (972) 375 - 9654.