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What Is SLAM Technology?

Defining SLAM Technology:

SLAM stands for Simultaneous Localization And Mapping. The technology understands its physical surroundings through the feature points. This allows AR applications to recognize 3D objects and instantly track the surroundings for overlaying digital interactive augmentations.

SLAM technology can be defined as a technology that allows a robot or device to create a map of its surroundings and set its orientation within the map in real-time. For a better understanding, break down the term. It leads to two key terms – Localization & Mapping.

  • Localization – Find the location of some object/sensor with reference to its surroundings.
  • Mapping – Map the layout and framework of the environment that the device is placed in.

The technology makes use of advanced algorithms that are capable of localizing and mapping the objects simultaneously.

How Does SLAM Technology Work?

SLAM technology collects visual data from the physical world with help of numerous sensors installed in the device. The data is collected in the form of reference points. These points make it easier for the machines or robots to distinguish between floors, walls or any other barriers. As the device moves around in the environment, new measurements are continuously taken. The SLAM technology takes care of any possible inaccuracies in the measurements by factoring in ‘Noise’.

This data is then converted into machine language that can be easily interpreted by the machines.

Implementations Of SLAM Technology:

  • SLAM AR is actively being implemented in place of the traditional marker-based technology. The traditional approach required a digital image. The camera had to be pointed at the digital image for enjoying the AR experience. However, SLAM AR rules out the requirement for a digital image by locating and mapping the surroundings in real time for a better AR experience.
  • Autonomous vehicles define another major implementation of SLAM technology. These self-driving vehicles are equipped with roof-mounted LIDAR (Light Imaging Detection And Ranging) sensors. These sensors create a 3D map of the surroundings and augment it over the existing Google maps. These readings are fed into a statistical algorithm for making driving-related decisions. The fast locating and mapping speed of the sensors makes them an ideal choice for fast moving vehicles.
  • SLAM technology has also found implementation in robotics. The technology is being used to create automatic robots and UAVs (Unmanned Aerial Vehicles) such as drones. This technology can be extensively used in a wide variety of field robots such as robots used for exploring other planets, agriculture robots, etc.
  • A GPS tracking system may not be highly efficient indoors or in big cities with obstructed view of sky. These problems may be solved by implementing visual SLAM technology as it does not require satellite information. Instead, it takes accurate measurements of the world around it to create a real-time map.

For more information on SLAM technology and its uses, call Centex Technologies at (972) 375 - 9654.

Business IT Trends Of 2020

IT has a major impact on the way a business operates. However, IT trends keep evolving in an unexpected fashion. As the new stage of digital evolution knocks on our doors in 2020, the new IT trends such as emotionally intelligent interfaces and hyper-intuitive cognitive capabilities promise to transform businesses in unpredictable ways. New IT trends open new opportunities for businesses to expand their market and user base.

Here is a list of business IT trends of 2020 to help you architect business systems that are designed to respond to new age IT trends:

  • Artificial Intelligence: AI is not a new trend but it keeps widening its parameters. AI has now found applications in different fields of business operations. The latest AI business trends include smart assistants, chatbots and self driving cars. In 2020, AI can be experienced in every digital market; from cybersecurity to healthcare.
  • Edge Computing: With an increase in the number of devices connected to the internet and each other, there has been an increase in demand on server infrastructure. The demand is even higher for video camera-based services that require constant video streaming. This has laid the pathway for edge computing. Edge computing is a computing network where computing is done at or near the data source to reduce the processing time. Video providers can benefit from this trend for reducing server costs and adding core functionalities that were not previously possible.
  • Autonomous Vehicles: While it may take some time for the autonomous vehicles to carve a niche in the market, they seem to be a promising upcoming trend in B2B and consumer markets. This trend is sure to have an impact on the way automobile businesses operate as they will have new investment opportunities such as manufacturing of autonomous vehicles and developing new services/features that cater to health, entertainment, comfort, and productivity of the person being driven in the autonomous vehicle.
  • 5G: 5G is being hailed as the base of new business revolution due to the speed and capabilities it promises. It has led to new investment opportunities for carriers and mobile device manufacturers. Additionally, it promises to enhance the surfing capabilities of the users thus, allowing businesses to offer applications with more features, plug-ins and usability.

For more information on Web Applications for enterprises, call Centex Technologies at (972) 375 - 9654.        

Stepwise Approach To Improving IT Management For Businesses

IT management is the discipline of monitoring and administering the information technology systems of an organization including the hardware, software, and networks. The main focus of IT management is to find a way to make information systems more efficient and facilitate business growth. Thus, improving IT management can lead to a successful business.

Here is a four-step approach to improving IT management:

Level 1 (Re-Master The Basic Troubleshooting): If an organization is facing problems such as-

  • IT support is overloaded
  • IT service outages are not resolved timely
  • Growing ticket backlog
  • Long downtimes disrupting business workflows
  • End users are not happy with IT

Level 1 approach is essential for such organizations. The motive is to analyze current troubleshooting practices and makes them more effective. The organization needs to make use of thorough diagnostics, IT support knowledge sharing, and IT infrastructure tracking. The end result involves redesigning the IT processes, redefining IT guidelines, and adjusting the processes to fit the needs.

Level 2 (Prevent IT Failures): Level 2 approach suits the organizations facing issues such as-

  • Troubleshooting is fine but IT service availability can’t be improved
  • Increasing number of incoming IT tickets
  • Growing costs incurred on resolving IT issues
  • IT support agents have to spend much time on manual data entry in the ticketing tool

Level 2 approach facilitates preventive IT service management, tracking events/changes in IT infrastructure, managing available IT assets, and automating IT support tasks. It focuses on rooting out the cause of similar incidents and automatic reporting of abnormalities in IT infrastructure to free the IT support for resolution tasks. Proper visibility of IT assets enables timely and efficient distribution among end-users resulting in increased IT service availability. This reduces the IT/business disruption and the costs involved.

Level 3 (Improving IT Services): Level 3 approach is suitable for businesses that extensively depend upon IT to execute business processes. Also, it is the suited solution if the business organization faces any of the following problems-

  • No set guidelines for reviewing & improving IT services
  • IT costs are very high
  • IT service agents can’t conform to strict SLAs

Level 3 focuses on timely updating IT services in order to keep them relevant. It also suggests making use of automation and machine learning for improving IT service management accuracy & productivity.

Level 4 (Merging IT & Corporate Strategies): In a dynamic business environment, it is important to synchronize IT & business strategies for uninterrupted growth. This will facilitate the quick introduction of new IT services whenever a business change occurs.

For more information on a stepwise approach to improving IT management for businesses, call Centex Technologies at (972) 375 - 9654.

Cognitive Cloud Computing: Business Applications & Benefits

Cognitive cloud computing is a technology platform that combines machine learning, reasoning, natural language processing, speech, vision, and human-computer interaction in a way that mimics the functioning of a human brain. It facilitates better human decision making by allowing thorough data analysis.

For most of businesses, data collection and analysis are important to grow their market and have an insight into the customer experience. Cognitive cloud computing can help in an in-depth analysis of data for making informed and faster decisions. It also allows bringing together the data sets of different departments of an organization for facilitating holistic ideas for business growth.

Here are some applications of cognitive cloud computing in different business aspects:

  • Chatbots: Chatbots understand the contextual meaning of communication to simulate a human conversation. The programs use a machine learning technique called natural language processing that helps in receiving human input, analyzing it, and providing logical answers. Cognitive computing helps the chatbots in implementing intelligence in communication like understanding user’s requirements based on past interactions, etc.
  • Sentiment Analysis: It is a branch of science that deals with understanding the emotions conveyed in a communication. Unlike humans, it is difficult for machines to understand conversational aspects such as tone, intent, etc. In order to facilitate this, cognitive computing is used to feed the training data of human conversation to the machines and then analyze the accuracy. This helps businesses in understanding and analyzing user communications including social media interactions such as tweets, comments, reviews, complaints, etc. for delivering better customer service.
  • Face Detection: Businesses are incorporating face detection for ensuring higher levels of system security. The security feature has numerous applications such as securing user access, security lockers, mobile phones, etc. The underlying process of face detection is an advanced image analysis. This is facilitated by a cognitive system that uses data like facial structure, contour, eye color, etc. to differentiate it from others. While traditional systems used 2D images, advanced cognitive computing techniques make use of 3D sensors that result in higher accuracy.
  • Risk Assessment: Risk management and analysis is a major part of businesses. It requires a thorough analysis of market trends and historical data to predict uncertainties involved in an investment. However, big data analysis alone is not sufficient to do a thorough risk assessment. It also requires intuition, experience, gut feel, and behavior analytics. Thus, it becomes essential to make algorithms intelligent. This is made possible by cognitive computing as it combines behavioral data with market trends for generating meaningful insights that can be further analyzed by experienced analysts.
  • Fraud Detection: Businesses need to detect frauds or anomalies in order to avoid situations that may cause financial loss or hamper brand image. This can be done with the help of programs that can analyze past data to understand perimeters to be used for judging a transaction. This is another business application of cognitive computing that involves techniques such as Logistic regression, decision tree, random forest, clustering, etc.

For more information on business applications and benefits of cognitive computing, call Centex Technologies at (972) 375 - 9654.

Cognitive Cloud Computing: Business Applications & Benefits

Cognitive cloud computing is a technology platform that combines machine learning, reasoning, natural language processing, speech, vision, and human-computer interaction in a way that mimics the functioning of a human brain. It facilitates better human decision making by allowing thorough data analysis.

For most of businesses, data collection and analysis are important to grow their market and have an insight into the customer experience. Cognitive cloud computing can help in an in-depth analysis of data for making informed and faster decisions. It also allows bringing together the data sets of different departments of an organization for facilitating holistic ideas for business growth.

Here are some applications of cognitive cloud computing in different business aspects:

  • Chatbots: Chatbots understand the contextual meaning of communication to simulate a human conversation. The programs use a machine learning technique called natural language processing that helps in receiving human input, analyzing it, and providing logical answers. Cognitive computing helps the chatbots in implementing intelligence in communication like understanding user’s requirements based on past interactions, etc.
  • Sentiment Analysis: It is a branch of science that deals with understanding the emotions conveyed in a communication. Unlike humans, it is difficult for machines to understand conversational aspects such as tone, intent, etc. In order to facilitate this, cognitive computing is used to feed the training data of human conversation to the machines and then analyze the accuracy. This helps businesses in understanding and analyzing user communications including social media interactions such as tweets, comments, reviews, complaints, etc. for delivering better customer service.
  • Face Detection: Businesses are incorporating face detection for ensuring higher levels of system security. The security feature has numerous applications such as securing user access, security lockers, mobile phones, etc. The underlying process of face detection is an advanced image analysis. This is facilitated by a cognitive system that uses data like facial structure, contour, eye color, etc. to differentiate it from others. While traditional systems used 2D images, advanced cognitive computing techniques make use of 3D sensors that result in higher accuracy.
  • Risk Assessment: Risk management and analysis is a major part of businesses. It requires a thorough analysis of market trends and historical data to predict uncertainties involved in an investment. However, big data analysis alone is not sufficient to do a thorough risk assessment. It also requires intuition, experience, gut feel, and behavior analytics. Thus, it becomes essential to make algorithms intelligent. This is made possible by cognitive computing as it combines behavioral data with market trends for generating meaningful insights that can be further analyzed by experienced analysts.
  • Fraud Detection: Businesses need to detect frauds or anomalies in order to avoid situations that may cause financial loss or hamper brand image. This can be done with the help of programs that can analyze past data to understand perimeters to be used for judging a transaction. This is another business application of cognitive computing that involves techniques such as Logistic regression, decision tree, random forest, clustering, etc.

For more information on business applications and benefits of cognitive computing, call Centex Technologies at (972) 375 - 9654.

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.

Importance Of Genuine Anonymization Of Patient Data In Healthcare

Data anonymization is the process of protecting private or individual sensitive information by either erasing or encrypting the personal identifiers that form the connection between an individual and stored data. This helps in retaining the data while keeping the source anonymous.

What Is the Need For Anonymization Of Patient Data?

  • Data science including collection and analysis of patient data is of immense importance for improving healthcare. It forms the basis of healthcare research for improving drug discovery, predicting epidemics, designing advanced cures, etc.

However, the law requires healthcare researchers to keep the PHI (Personal Health Information) of people secure. So, the only way of using patient’s data for research is to get their consent beforehand. This places a limitation on the data sets as some patients may decline the consent. Data anonymization lifts certain restrictions as it removes the patient’s identifiers and renders the data anonymous. It provides healthcare researchers the ability to access extensive, coherent, and historic data that can be built upon without damaging patient trust.

  • Second reason that emphasizes the importance of genuine anonymization of patient data is that patients may be reluctant to seek medical attention if they fear that their PHI may be shared with someone. Genuine anonymization helps the healthcare institutes in offering privacy assurance to their patients.
  • An information leak or disclosure that an individual has tested positive for STIs such as HIV/AIDS can invite discrimination or social stigma. Anonymization of such data helps in reducing the risk of such disclosure and maintaining the privacy and confidentiality of patient data.
  • Another reason for incorporating genuine anonymization of patient data in the healthcare industry is to keep the data secure from cyber criminals who may cause a data breach and negatively affect the patients.

What Data Anonymization Techniques Can Be Used?

Data Masking: Real data is hidden by altering values. For example, a mirror of a dataset may be created and the value characters may be replaced with symbols such as ‘*’ or ‘x’.

Pseudonymization: The private identifiers such as name, address, etc. are replaced with face identifiers or pseudonyms.

Generalization: Some of the identifier data is removed while retaining a measure of data accuracy. For example, removing house number from the patient’s address while retaining the road name.

Data Swapping: It is also known as shuffling or permutation. The dataset attribute values are rearranged so that they don’t correspond with original values.

Data Perturbation: The original data set is modified by adding noise to the data and rounding off the numbers such as age or house number of the patient.

Synthetic Data: An artificial data set is created instead of altering the original dataset based on patterns and statistical analysis.

For more information on the importance of genuine anonymization of patient data and methods of implementation in healthcare, call Centex Technologies at (972) 375 - 9654.