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Quality and price are the top 2 factors influencing telecom customers. Telecom companies have to embrace new technologies and digital transformation to be able to provide high-quality services and reduce costs. API is one technology that can benefit the telecommunication sector by making them more innovative and efficient.
This article will explore the top 5 benefits of APIs in the telecom sector with examples.1- API as a source of revenue
Telecom companies can develop their own API that, in addition to providing internal benefits, it can generate revenue by providing access to it for a subscription or license fee. For example, Telecommunication companies such as :
Provide access to different APIs for a fee. However, if you plan to develop your own API, you must ensure that your API provides the following:
That is why you should test your API rigorously. API testing can detect bugs & defects in an early stage, saving a considerable amount of time & money.
PULSE, is an automated AI-based API testing tool that can reduce the effort and cost of testing by 50%. This tool is created by Testifi which works with telecom company Vodafone and other major companies such as Amazon and BMW.2- Integration with new technologies
To provide high-quality and innovative services, telecom companies need to embrace new technologies. API can help with new technologies such as :Chatbot
Chatbots can provide many benefits for telecommunication companies by:
Providing 24/7 support,
Offering personalized recommendations,
Reduce the cost of support.
Chatbot APIs provide an efficient way to collect conversations and responses of chatbots. Chatbot APIs can be used to :
Integrate chatbots into websites and mobile applications,
Create consumer insight,
Improve chatbot responses.
Jio, the biggest telecom provider in India, was looking for a solution to retain its customers and keep its market share by providing a high-quality customer experience.
Conversation AI company, Haptik, created an intelligent virtual assistant with an API integration that handled 5 million conversations monthly and enabled 7000 ways customers can interact with a chatbot. Jio was able to generate 97% ROI on their investment and save $3 million annually in operational expenses.IoT
Internally, they can use IoT devices to monitor their own infrastructure and physical assets. IoT devices such as sensors and high-end cameras that are equipped with computer vision can be used for maintenance review. Additionally, physical assets can be connected to the cloud and managed remotely.
Externally, IoT has led to the creation of the following:
Telecom companies can offer wide-area IoT solutions such as wide-area networks.
APIs can be used to collect data from IoT devices and integrate them with different infrastructures such as the cloud. Examples of data that can be collected using APIs are:
Time series of device usage,
An example of IoT API in telecommunication is :Verizon connectivity API
This API enables :
Monitoring device usage,
Monitor device availability for receiving SMS and connectivity
Getting device location
Integrate connectivity management to enterprise software systems such as ERP and CRM.3- New services
APIs provide easy access to information and data from different internal & external sources. APIs enable providing existing resources as a reusable service across different platforms. Additionally, legacy telecom infrastructure can be integrated with APIs to enhance the usage of existing infrastructure. For example, sending an SMS from an application to users can be done by integrating with SMS APIs.4- Improve partner integration
APIs can facilitate data sharing and access between telecommunication companies and different enterprises. Services that can be exposed to API such as video calling and text messaging can be leveraged to build valuable offerings for enterprise partners and non-partner vendors.5- Increase efficiency
APIs can increase telecommunication operation efficiency as APIs are:
cost-efficient when compared to manual data collection.An API case study in the telecom industry Saudi Telecommunication Company (STC)
STC opted for using APIs instead of creating single-use endpoints and point-to-point integration as it enabled them to be reused by :
Different internal teams,
STC released a direct-carrier billing (DCB) API, which allows STC customers to use their STC bills to pay for partner services. This benefits them as it eliminates the need for creating unique integration for each partner. This enabled them to attract new customers like Netflix, Apple & Microsoft.
STC used Google Cloud’s Apigee API Management Platform in order to manage the growing requirements related to the APIs. For more, watch the following youtube video:
If you are looking for how you can use telecom API in your business, you can reach us:
Cem regularly speaks at international technology conferences. He graduated from Bogazici University as a computer engineer and holds an MBA from Columbia Business School.
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You're reading Apis In The Telecom Sector In 2023: Top 5 Benefits & An Example
Vulnerability management seeks to lower risk by identifying and dealing with any possible lines of incursion into a network by cybercriminals.
The field of vulnerability management includes automated scans, configuration management, regular penetration testing, patching, keeping track of various metrics, and reporting. The category has been evolving rapidly within cybersecurity, and here are some of the top trends in the vulnerability management market:
Vulnerability management is all about identifying, prioritizing, and remediating vulnerabilities in software.
As such, it encompasses far more than the running of vulnerability scans repeatedly to look for known weaknesses lurking within the infrastructure. Traditionally, vulnerability management also includes patch management and IT asset management. It addresses misconfiguration or code issues that could allow an attacker to exploit an environment as well as flaws or holes in device firmware, operating systems, and applications running on a wide range of devices.
“These vulnerabilities can be found in various parts of a system, from low-level device firmware to the operating system all the way through to software applications running on the device,” said Jeremy Linden, senior director of product management, Asimily.
See more: A holistic approach to vulnerability management solidifies cyber defenses
Some analysts and vendors stick strictly to the NIST definition when they’re talking about vulnerability management. Others include security information and event management (SIEM) with vulnerability management as part of larger suites. And a few combine it with threat intelligence, which prioritizes actions and helps IT to know what to do and in what order.
Gartner recently originated the new term attack surface management (ASM). The analyst defines ASM as the “combination of people, processes, technologies, and services deployed to continuously discover, inventory, and manage an organization’s assets.”
ASM tools are said to go beyond vulnerability management. The aim is to improve asset visibility, understand potential attack paths, provide audit compliance reporting, and offer actionable intelligence and metrics.
The as-a-service trend has invaded so many areas of IT, so it’s no wonder that vulnerability management as a service has emerged.
“With more than 20K vulnerabilities found and published in a single year, vulnerability management has become an enormous task,” said Michael Tremante, product manager, Cloudflare.
“This is made worse for large enterprises who also have the challenge of not necessarily knowing the full set of software components being used internally by the organization, potentially putting the company at risk. A big trend is adoption of managed services/SaaS environments, as they are externally managed, and offloading of vulnerability management to third parties.”
Thus, a growing set of products are hitting the market that help companies tackle vulnerability management via managed services of one kind or another.
See more: Vulnerability Management as a Service (VMaaS): Ultimate Guide
Containers and Kubernetes have become largely synonymous with modern DevOps methodologies, continuous delivery, deployment automation, and managing cloud-native applications and services.
However, the need to secure containerized applications at every layer of the underlying infrastructure — from bare-metal hardware to the network to the control plane of the orchestration platform itself — and at every stage of the development life cycle — from coding and testing to deployment and operations — means that container security must cover the whole spectrum of cybersecurity and then some, said KuppingerCole.
See more: Securing Container and Kubernetes Ecosystems
Due to the way the threat landscape is evolving, the way vulnerability management platforms are shifting, and the fast pace of innovation as evidenced by containerization, digitalization, and the cloud, a new approach is needed, according to Ashley Leonard, CEO, Syxsense.
“Businesses possess incredibly powerful processors inside storage equipment, servers, and desktops, which are underutilized in many cases” Leonard said.
For example, Syxsense has been incorporating more features into its vulnerability management tools. This includes more orchestration and automation capabilities, stronger endpoint capabilities, and mobile device management. These augment existing patch management, vulnerability scanning, remediation, and IT management capabilities.
See more: 12 Top Vulnerability Management Tools
In this research, we will explain how AI can improve fraud detection, enhance customer service and reduce expenditures in the health insurance sector.1. Detect fraud more accurately
Health care fraud costs about $300 billion annually in the US. Since health insurance accounts for one-third of healthcare spending, we can roughly say that health insurance fraud costs about $100 billion per year. That’s a significant amount, and as we discussed in our article on insurance pricing, fraud becomes a burden on customers in the form of higher premiums. So effective insurance fraud detection benefits all with the exception of fraudsters.
AI models can be effective fraud detectors and preventers as they automate manual workflows. Health insurers generate a huge amount of paperwork by processing claims. Traditionally, insurers manually review the relevance of claims to determine whether or not they are fraudulent. This was both a time-consuming and inefficient process. According to McKinsey, for every 10 health claims submitted, insurers classify up to 7 as unusual, meaning potentially false or fraudulent, based on company policies. Thus, 70% of the claims are reinvestigated by the insurers.
According to Forbes because of this inefficiency of manual fraud detection, investment in AI-based fraud detection is the top priority of firms. NLP-based models reduce the time required to identify suspicious case claims by 75%. NLP models are feeded by dataset of previous fraudulent claims, and by time become more effective fraud detectors. Thus, they can reduce the unrealistic 70% rate of suspicious cases.2.Improve customer service
According to Deloitte, up to 75% of customer service requests like simple queries of customers can be automated through the use of chatbots. The economic return is equivalent to a 40% reduction in customer service costs. And companies can free employees’ time with up to 97% by using chatbots. So, the insurance sector can benefit from AI-driven chatbots.
As an example, chatbot producer Haptik developed an intelligent virtual assistant to address client inquiries for Zurich Insurance Company. Haptik assists Zurich Insurance’s platform in handling about 85% of client inquiries automatically, with 70% of all inquiries being totally automated without human assistance.
Chatbots, on the other hand, can be taught expressly for health insurance needs. For example, they can extract data such as name, residence, age, symptoms, nutrition and sport habits to establish a policy. As a result, insurance companies can acquire new consumers digitally.
Chatbots are also useful for handling insurance claims. For sending first notices of loss (FNOL) and verifying claim progress. Deloitte found that, after COVID-19 Pandemic, insurers adopted digital channels such as mobile apps more, where some insurance companies handle more than half of claims in this way. Chatbots can interact with customers on mobile apps and messaging apps and manage digital and automated claims processing.
It is vital to recognize that. As a generational need, claims processing is shifting from physical to digital. And as a result, health insurers may find it more usual in the coming years to handle claims using chatbots.3. Reduce health expenditures
This is an example of the integrated use of AI and IoT. Smart devices like smartphones, watches, homes, cars, etc. collect a tremendous amount of data about the customer’s life choices. By using effective AI models, this data is transformed into that person’s premium. Consequently, health insurance companies can conduct an effective and fair underwriting process.
In the near future, this health insurance transformation could be extended to other technologies. For example, digital twins, the computerized replication of any object, including humans, can be used for more accurate health risk analysis.
To find out more about innovative insurance solutions, you can read our Top 7 Innovative Insurtech Companies of 2023: Detailed Guide article.Further readings
Top 5 Insurance Technologies & Their Use Cases: In this article, we present five technologies that we believe will most transform the insurance sector. For each sector, we specifically address which insurance practices can be improved by the introduction of a particular technology.
Insurtech Guide: What it is, Trends, Technologies & Challenges: This article is our general guide that introduces the general trends and insurtech landscape to showcase the magnitude of change that is taking place.
Cybersecurity Insurance: What is it & why is it important?: Lately, we rely on technology for almost everything we do on a daily basis. As a result, the cost of cyberattacks might stop operations of businesses. This article assesses the rise of new insurance practice that protects companies from cost of cyberattacks.
You can check our lists of AI platforms, AI developments and AI consultants to build AI models more easily.
Our health insurance platforms and insurance suites lists might guide you to find appropriate insurance tools/vendors.
Finally, to get the latest guides on conversational AI, download our whitepaper:
We can help you to identify the best providers that can assist you with your digital transformation to compete in the challenging insurance sector.
Cem regularly speaks at international technology conferences. He graduated from Bogazici University as a computer engineer and holds an MBA from Columbia Business School.
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Overview of Benefits of Performance Appraisal
Human resource processes, human resources management & others
The Appraisal system must be unbiased because it provides adequate feedback about an employee’s performance level. Still, it also gives data to managers for future job assignments and compensation. It supports a basis for transforming or changing the behavior pattern toward more effective habits, which delivers results.Definition of Performance Appraisal
The words performance appraisal or merit rating systems denote the evaluation process of performances of the employees of any small or big organization. It can be defined as a “process of systematic evaluation of personality and performance of each employee, measuring by supervisors or managers or some other persons trained in the techniques of merit rating, against some predefined parameters such as knowledge of job responsibility, quality of delivery, leadership ability, cooperation, initiative, creativity, attendance, judgment skill and so forth”.Objectives of Performance Appraisal
Organizations adopt various performance rating systems with certain objectives in mind. Those objectives are –
To provide inputs for making decisions regarding transfers and promotions.
Providing data for identifying the requirements of training and development programs for individuals.
To help to make decisions for offering confirmation to the employees who have completed the probationary period.
To make decisions regarding the hike of employees’ salary, incentives, or variable pay.
Enable clarification of expectations and facilitate communication between superiors and subordinates.
To help employees to realize their performance level.
Collect data and keep the record for different organizational purposes.Methods of Evaluation Technique
In designing the evaluation technique, each company considers various factors such as the size of employees, work schedule, company goal, etc. Whatever method is used, it is important to select the right method for assessing the individual’s quality and quantity of work. Merit rating can be classified into two categories of Performance Appraisal Methods – traditional and modern methods.1. Traditional method
Forced Choice method and Checklist method
Critical Incident Method
Confidential Report2. Modern method
Management by Objectives (MBO)
Behaviorally anchored rating scales
360-degree appraisal system
Cost Accounting methodBenefits of the Appraisal System
Though there are some debates regarding the merit rating system as it considers adding little value to the organization’s performance, the annual reviews are taken by management and staff as a painful process. Sometimes it acts as detrimental to performance management.
The still appraising system is assumed as a performance measuring standard that has been fixed to give feedback to the employees to improve their performance level by eradicating deficiencies. It is acclaimed as an investment for the company, and this acclamation is quite justifiable after considering the following benefits –1. Assist in Enhance Employee Performance
The logical appraisal system helps the line managers and HR people to design policies and programs for the progress of employees and businesses. It supports planning daily work agreeably to assign the right people to an accurate job. The evaluation process should actively ensure unbiased and equal views to stimulate every employee’s career development.2. Promotions and Transfers
The merit evaluation system helps to recognize talented employees to groom them as competent. The organization admits employees’ hard work and accomplishments by giving promotions, deputation, and transfers. The evaluation system certifies that promotion and transfer offers are based on performance, not seniority and nepotism.3. Hike in Salary and Compensation
The rating system gives a clear view of an employee’s performance level, which is compensated by an enhancement in salary and offering other fringe benefits. A good point rating can be achieved only through the appraisal system, which offers handsome compensation packages like a bonus, extra reimbursement, various allowances, and requisites. Almost in all organizations, different categories of employees are paid good compensation packages for their high level of performance, which reveals in the evaluation system.4. Planning for Providing Training and Development
Through the appraisal procedure, the superiors can comprehend their subordinates’ strengths and weaknesses, which also helps the HR department design a training and development program. The content and method of training vary according to the requirement of employees. Even the appraisal system decreases the attrition rate because appreciation and bonuses enhance the stability of an employee.5. Improve the Relationship Between the Management Group and Employees 6. Be Integrated with Strategic Vision
One important purpose of an appraisal is to communicate employee goals that are part of the organization’s strategic vision.7. The Tool of Inspiration
Performance appraisal is an inspirational tool for employees because weighing up the performance level and the recognition system after achieving the goal can boost the employees’ efficiency and productivity level.8. Detect Valued Performers
The evaluation system aids in recognizing potential employees in the organization. When making personnel decisions, such as promoting individuals to influential positions or laying off employees, employers base their decisions on performance history, skill level, and experience. The appraisal system is also helpful for inventorying quality people in the organization. As per the valuation, the HR department recruits new employees or upgrades the existing workforce.
Suppose the performance appraisal system executes properly. In that case, it can become a powerful tool to establish an organizational culture where each employee acts for the broad strategic vision of the organization.Recommended Articles
This is a guide to the Benefits of Performance Appraisal. Here we discuss the objectives and Benefits of Performance Appraisal and methods of Evaluation Techniques. You may also look at the following article to learn more –
Loved 1. Rust
As per the 2023’s StackOverflow’s Developers Survey, the people who get the chance to utilize Rust have gone gaga for it and 86.1% of 65,000 developers appraised Rust as the most adored programming language starting around 2023. Rust is a multi-worldview programming language particularly centered around execution and security, it is linguistically like C++ yet gives memory wellbeing without trash assortment. It is a language of exceptionally simultaneous and safe frameworks, makes and keeps up with limits, creates and maintains boundaries to preserve large-system integrity.2. TypeScript 3. Python
Python is an exceptionally well-known, significant level, deciphered universally useful programming language. This language upholds different programming standards including organized, object-arranged, and practical programming which assist developers with composing clear, intelligent code for little and enormous scope projects. Python is a powerfully composed and trash gathered language with a far-reaching standard library which is probably its most prominent strength gives devices fit to many assignments. Rather than having all the usefulness incorporated into its center, this language was intended to be exceptionally extensible. This minimized seclusion has made this so famous.4. Kotlin 5. GoLang
With legitimate training, anybody can dominate the VBA language, primarily utilized for programming and overseeing Microsoft applications like Excel. It’s incorporated into most Microsoft Office applications to automate repetitive tasks, such as tidying up tables, making a spring-up update, and arranging records; henceforth, you can’t exclude it basically in light of the fact that you dislike it.2. Objective-C
Like Brent Simmons, Mac and iOS developer said, Objective-C looks hard because of the [and] syntax and all those words. Besides, Objective-C is an easy language to learn in a short time. It is used for developing OS X and iOS operating systems and apps and gives language-level support for object graph management and object literals. Programmers often dislike it for lacking method visibility methods, class namespacing, and proper importing system. They often complain that Objective-C is mostly just plain old C.3. Perl
Perl is nothing but an intricate and complex language to learn. Truth be told, you can learn it surprisingly fast. Software engineers loathe Perl in light of the fact that it is so old and substandard compared to python. This is very evident in light of the fact that no youthful or generally experienced engineer would be working on codes composed on Perl. It saw the roughage days, yet the contending dialects like Ruby and Python made it less important. You can dominate Perl for chiefly prototyping, large-scale projects, text control, system administration, web development, and network programming.4. Assembly
Yes, an assembly language translates high-level languages into machine language. Yes, it is a necessary bridge between software programs and hardware, but that doesn’t necessarily make Assembly an easy language. Those who are familiar with Assembly would tell you that it’s challenging to learn because it requires a deeper understanding of system architecture at the most fundamental level. And, it is true, but that doesn’t make it less relevant. It is widely used for direct hardware manipulation and to address critical performance issues. If you’re interested in getting into this type of programming, you’d need to learn Assembly.5. C
Did you realize C is the oldest programming language on the planet? An archetype to C++ was created by an American computer scientist Dennis Ritchie in 1972 to make a wide cluster of computer systems and hardware. The programming dialects created after C, like PHP and Java, take solid references from the C language. Be that as it may, regardless of its significance, numerous software engineers hate this is on the grounds that it needs many great features. This is a reason behind why a hopeful developer takes up C++ rather than C. C developers dislike this is on the grounds that it comes up short on a module system, lacks automatic memory allocation, module system and lambdas, no garbage collection, and zero objects or classes.
These cryptocurrency trading bots make the lives of crypto fanatics a lot easier
Cryptocurrency trading might seem complicated to even long-term market investors. With the rising popularity of cryptocurrencies and blockchain, several innovations are taking place in the industry to make crypto trading an easy affair. Crypto trading bots are computer software that places and manage trades based on existing regulations. Automated crypto trading efficiently helps investors understand the algorithms of the crypto market and invest accordingly. These bots help capitalize on market opportunities and cut down time spent on monitoring. In this article, we have listed the top 5 crypto trading bots that can make life easier for investors.
Pionex: Pionex is one of the world’s 1st exchanges with 18 Free trading bots. Users can automate their trading 24/7 without always checking the markets. It aggregates the liquidity from Binance and Huobi Global and is one of the biggest Binance brokers
Features: 1. Pionex provides 18 free trading bots for retail investors. 2. The trading fee is the lowest compared to most of the major exchanges. The trading fee is 0.05% for the maker and taker. 3. Grid Trading Bot allows users to buy low and sell high in a specific price range. 4. Leveraged Grid Bot provides up to 5x leverage. 5. Spot-Futures Arbitrage bot helps retail investors to make passive income with low risk. The estimated return for this strategy is 15~50% APR. 6. Martingale bot performs DCA buy, one-time sell to capture fluctuation profit. 7. Rebalancing bot helps you to hodl the coins. 8. Dollar-Cost Averaging (DCA) Bot Sets repeated purchasing at regular intervals to offset the effects of volatility. 9. Smart Trade terminal allows traders to set up stop-loss, take profit, trailing in one trade. 10. U.S. FinCEN’s MSB (Money Services Business) License approved Price: Free Mobile Apps: iOS & Android Exchanges: Binance，Huobi，CoinbasePro，Pionex
Mudrex: Mudrex is a Y-Combinator-backed platform that’s been around for a while now – since 2023 to be precise. What we find particularly interesting is the Coin Set offer. The platform does offer a separate algo offering as well but seems to be doubling down on Coin Sets as far as we can tell. According to Mudrex, Coin Sets are basically baskets of tokens built on a specific theme or an idea. Some Coin Sets that we find particularly interesting:
Crypto Blue Chip
are offering a guaranteed reward of up to $1000 upon every investment
We actually reached out to Mudrex to offer something special to Analytics Insights users – and for this week,
Cryptohopper: The Cryptohopper bot is a powerful system that offers several facilities to help cryptocurrency traders make the right trading decisions. Bots on this platform are called hoppers who can either use strategies, templates, or signals to guide the users on when to buy and sell cryptocurrencies.
Cryptocurrency trading might seem complicated to even long-term market investors. With the rising popularity of cryptocurrencies and blockchain, several innovations are taking place in the industry to make crypto trading an easy affair. Crypto trading bots are computer software that places and manage trades based on existing regulations. Automated crypto trading efficiently helps investors understand the algorithms of the crypto market and invest accordingly. These bots help capitalize on market opportunities and cut down time spent on monitoring. In this article, we have listed the top 5 crypto trading bots that can make life easier for investors.1. Pionex provides 18 free trading bots for retail investors. 2. The trading fee is the lowest compared to most of the major exchanges. The trading fee is 0.05% for the maker and taker. 3. Grid Trading Bot allows users to buy low and sell high in a specific price range. 4. Leveraged Grid Bot provides up to 5x leverage. 5. Spot-Futures Arbitrage bot helps retail investors to make passive income with low risk. The estimated return for this strategy is 15~50% APR. 6. Martingale bot performs DCA buy, one-time sell to capture fluctuation profit. 7. Rebalancing bot helps you to hodl the coins. 8. Dollar-Cost Averaging (DCA) Bot Sets repeated purchasing at regular intervals to offset the effects of volatility. 9. Smart Trade terminal allows traders to set up stop-loss, take profit, trailing in one trade. 10. U.S. FinCEN’s MSB (Money Services Business) License approved Price: Free Mobile Apps: iOS & Android Exchanges: Binance，Huobi，CoinbasePro，Pionex
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