10 Lesser-Known Factors That Could Affect Your Career Growth

We live in a goal-oriented world with every one of us running behind our ambitions frantically deeming our merit by whether or not we achieve the goals we set for ourselves. Advancements in the fields of science and technology have opened up various uncharted career paths for young aspirants to explore and grow. The Internet has brought the world to our palms, with unlimited access to information from all places across the world. Vast exposure to different fields and sectors allows us to make informed decisions regarding our career choices and how we can choose the optimal route to success and growth. Here are a few factors that could affect your career growth and help you grow immensely if you manage them right.

  • Reach Out to Opportunities – Digitization of companies and enterprises across the different fields and sectors has greatly improved the range of opportunities available for people interested in various job positions. The conventional approach of waiting for new opportunities to come up without looking out for them has been phased out with the onset of online platforms that help people reach out to companies from countries across the globe. 

  • Online Job Platforms – Look out for new job opportunities in your fields in popular online platforms to gain insights on the skill and expertise requirements required for these jobs. There are various communities and online platforms like Glassdoor which provide useful information regarding the work environment and nature of work in different companies as reported by employees who are working there or who have had an experience working there. They help make critical decisions that will significantly boost your career.


  • Develop Relevant Skills and Expertise – The world is a rapidly growing place and we need to constantly adapt to the new changes to keep in pace with it. New software and technological advancements revolutionize companies and enterprises in all fields and sectors and we must stay updated regarding these new advancements to stay ahead of our competition. Constant efforts to keep up with the latest advancements will reward you with wonderful opportunities to grow and expand.

  • Community Outreach – Valuable contacts and experience are two factors that set apart seasoned professionals from amateurs just entering the fields. While experience is an accumulating asset, we must develop good stable relationships with our colleagues and eminent personalities in our fields. It puts us in a position of great advantage as the web of contacts acquired by developing such relationships provides us great leverage when looking out for new opportunities by offering vital information and suggestions propelling our growth.

  • Interpersonal Skills – Creativity and good communication are important factors that can improve your career growth. Do not restrict your thought processes to conventional norms and protocols. Venture out to new horizons and communicate well with people of all age groups to gain a diverse perspective that is not constrained by preset norms and thought processes that are too stubborn to adapt to change. Good relationships built with all sectors of your companies and enterprises will provide you with a holistic knowledge of the work processes helping you make innovative changes that can boost the productivity and efficiency of your team, helping you grow your career.

  • Work-Life Balance – A peaceful and supporting home environment can help you progress your career greatly. Chaotic personal relationships and instability in lives negatively impacts your performance and efficiency and undermines your general quality of life. It is essential to find the ideal balance between the time spent on bolstering your career and nurturing personal relationships as they go hand in hand in improving your lives and getting you successful. 


  • Financial Security – Financial security plays a critical role in most of the decision-making processes involving the growth of your career. Shifting to new jobs or setting up new startups requires confidence and financial security as they are huge risks that could set you back in your career. Adequate financial support helps you mitigate the risks significantly allowing you to explore and implement your ideas freely without being restrained by caution and worries.

  • Mental and Physical Health – This is the most important factor that most of us tend to ignore and take for granted, with a great impact on our growth and development. Adequate time must be devoted to physical exercise to stay healthy and sharp, helping you stay focused on the task at hand. Mental acuity and the ability to adapt to changing surroundings is vital to stay relevant in different fields and sectors and good mental health help us achieve the same. 

 

Conclusion

We live in a highly competitive world with new companies and enterprises getting set up in different fields and sectors fighting for dominance and profits. Adaptability and the continuous desire to learn new things to stay ahead of the curve is what will help you progress and achieve your desired goals and desires. You must handle these factors suitably to allow the smooth and constant progression of your career.

Do You Make These 8 Common Profile Building Mistakes?

One of the biggest mantras for anyone looking forward to impressing another person, especially for job aspirants looking out for new positions at different companies and enterprises is “The first impression is the best impression”. Your profile is the first thing employers and HR teams go through before going ahead with interviews for any job position and a good profile will set you apart from the start, giving you the edge over hundreds of other aspirants applying for the same position. 

Many highly qualified aspirants lose out on the wonderful opportunities they deserve due to unrefined profiles that do not convey their efficiency and skills appropriately. A well-crafted resume presented in an orderly fashion will significantly improve your chances of getting the job of your dreams and boost your career to greatness. Here are a few insights on the most common profile building mistakes and how you can avoid them when applying for new job opportunities. 

  • Avoid Cliches

    Your profile has to be a short and crisp representation of your skills and achievements to make it appealing to employers and HR teams. It is wise to leave out highly common attributes such as “Good communication skills, Leadership abilities, Ability to collaborate and work efficiently as part of a team” on your profile as these are present in almost every profile they commonly come across. Unique profiles with original content produce a better impact on viewers than profiles filled with repetitive content. 


  • Error Proof with Spellcheck and Grammar Check 

    Your proficiency in language and vocabulary might not be an essential requirement for your desired job position, but they do play a huge role in creating a positive impression. Profiles filled with spelling mistakes and grammatical redundancies will negatively impact your chances of getting selected and might also be construed as a lack of efforts to design a proper profile from the employer’s perspective. Ensure your profile is grammatically sound and free of any spelling errors to enhance your probability of landing a good job. 


  • Formatting and Presentation

    Tailor the content in your profiles to best represent your skills and achievements by properly organizing and formatting your content. Segregate your content based on the level of importance and retain only skills and knowledge associated with your profession and desired job position instead of cramming everything in your profile. Maintain a neatly organized profile that can be easily read by employers in simple fonts like Arial, Times New Roman etc. instead of using complicated stylish fonts that make it hard to view and read.

 

  • Content is the King

    Focus more on your achievements and positions you have served in rather than the duties you have performed in your tenure. Freshers mostly restrict their profiles to a single page due to lack of experience and content to write about, but experienced professionals might have a lot of content to include in their profiles and it is essential to restrict it to highly essential content that holds relevant to the current scenario in their respective fields.

  • Accuracy and Honesty

    Accuracy and Honesty are significant factors that contribute to developing proper profiles as inconsistencies in the information provided in your profile can be easily tracked down and lead to a lack of trust from employers. Ensure that the details regarding your previous positions and their duration have been entered correctly to avoid any confusion that might affect the credibility of your profile. Avoid inconsistencies in your profile and add only the skills you have adequate expertise with, to avoid any embarrassing situations that might crop up during interviews for new job positions. 


  • Avoid Gaps in Profile 

    People rarely stick to the same companies they start at and generally tend to explore new job opportunities at different companies and enterprises. Ensure to fill any gaps in your career between different positions you have served by mentioning to have used that time to acquire valuable skills and expertise in your field. Attempts to improve knowledge and skillsets will be looked onto a sign of perseverance and dedication, helping improve your chances of getting your desired job and the presence of gaps in your careers without a proper reason often leaves the employers to assume reasons on their own, which negatively impact your profile. 


  • Personal Touch 

    It is essential to provide HR teams and employers who go through your profile with a few insights about your personal life and interests. It improves their understanding of your general character and lifestyle, improving your chances of landing the job. Mention your hobbies and interests in your profile and maintain a personal touch to it, keeping it to minimal and engaging. 

 

Conclusion

Your profile is your biggest asset that pushes your job applications past hundreds of similar applicants competing with you and it needs to be unique to make it appealing for employers. Avoid these regularly found errors in profile building and craft a short, crisp, neatly formatted resume that stands testament to years of your hard work and experience. 

Digital Transformation and the Cloud: What Lies Beyond Cost and Productivity?

Cloud computing has revolutionized the field of information technology for companies and organizations across different fields and sectors. It has attracted companies globally to initiate their digital transformation and discover the power of connectivity and cloud computing. Companies adapt to cloud computing and enjoy the various benefits offered by the resource as it provides them mobility and access like never before with decentralized storage systems with high security. Work from home and easy collaboration between employees have been made possible with seamless sharing of documents and data using cloud computing. Here are a few insights on the future of digital transformation and cloud computing and what lies in it for us.

Cloud Computing and Digital Transformation

Cloud computing has been a ray of hope for small and large businesses alike as it helps them handle huge loads of information and data without having to invest on physical data storage. It allows organizations to cut down on the workforce required to manage and store data allowing them to effectively redistribute their human resources to other areas of improvement. 

Digital transformation has become a necessary requisite for companies and organizations to sustain their growth and performance in the global markets. AI and machine learning have helped simplify work processes and boost their potential to handle more clients and provide services. Cloud computing has been the starting point for most companies as they expanded their reach to the digital world. 

Future Beyond Cloud Computing and Digital Transformation

The field of Information Technology has been constantly growing and evolving with time to suit the changing requirements of companies. Cloud computing has been no exception with new features upgraded to the online storage platforms that have enhanced their overall functionality and ease of use. 

The incorporation of advancements in areas of Intelligent Process Automation, Data sciences and new age application development such as low-code and no-code platforms for application development have enhanced the functionality of cloud computing. Robotic Process Automation for cloud applications is a rapidly growing trend that has brought about the development of cloud native applications designed to capitalize on all the features of cloud computing. 

Repetitive tasks and assignments can be automated on cloud architecture utilizing the widespread access to data and documentation to handle them without expending human resources. RPA is easily implemented for cloud platforms and it is also feasible to integrate the legacy applications and cloud versions of the RPA.

IT companies often play a great role in guiding the digital transformation of companies and organizations, smoothening their learning curve and getting them accustomed to it. Futran Solutions, one of the leading providers of cloud-based solutions, has assisted in the digital transformation of a number of companies in various sectors such as banking, finance, healthcare, insurance etc. Advanced tools facilitating new age application development are incorporated in the software solutions offered by Futran Solutions empowering its clients to develop customized applications of their own. 

Benefits of Cloud computing & Its Advancements

Cloud computing and the advanced tools associated with them offer a wide range of features and benefits for the users. Here are a few insights about the advantages offered by cloud computing: 

  • Reduced Cost: The transformation from on-site storage of data and documentation to cloud based storage has drastically decreased expenditure for data storage and organization. Cloud computing facilitates hassle free storage and organization of data with universal access on internet connected devices.


  • Advanced Security: Cloud computing protects data stored in the platforms with highly secure gateways allowing clients to store and organize their data efficiently. Sensitive information of valuable clients can be confidently saved in the cloud platforms and multiple backups of data are stored in them preventing accidental loss of vital information due to any unforeseen circumstances.


  • Improved Productivity: Cloud computing with RPA significantly improves the productivity of companies and organizations by automating repetitive tasks allowing faster processing of data and better usage of human resources. It allows for companies to quickly adapt to the market changes and save time by improving communication and transparency between employees facilitating better collaboration. 

Conclusion

Cloud computing with its advancements has gained great traction amidst small scale and large-scale companies allowing them to boost their potential and performance. Assistance from IT companies like Futran Solutions can help organizations identify their key requirements and provide tailored solutions for them with the appropriate tools cutting down on costs and expenditure. Begin your digital transformation with cloud computing and explore the diverse tools present in cloud platforms that can help improve your work processes and facilitate wider reach for your enterprise. Adapt to cloud platforms and empower your organizations to better adapt to the market changes and solve any issues with your work processes as and when they arise.

8 Major Medical Industry Offerings Affecting Every Global Citizen in 2021

The medical field has gained huge prominence during the pandemic, with hospitals and healthcare organizations in developed and developing countries suffering from huge workloads and resource deficiencies. Advancements in technology and communication have provided great assistance in relieving stresses for the medical industry, helping them function with great efficiency. The modern advancements in these fields have propelled the medical industry to handle the crisis better improving the living standards of people across the world. Here are a few of the major medical industry offerings that have impacted the lives of people significantly:

 

Clinical Data Management

Clinical data management has played a great role in understanding the COVID disease and developing effective countermeasures against it. It facilitates the generation of valuable, reliable data from research trials and patients undergoing different treatment protocols. Software platforms help collect and organize the data efficiently improving the reliability and sequentially the value of the collected data, enhancing the scope for good research. They are programmed to simplify the entry of data for medical professionals and allow researchers to interpret the data efficiently.

 

Validation

Software applications have assisted hospitals and medical device manufacturing companies in the validation of their work processes and new medical devices to mitigate the risks associated with them and keep them to a minimum. 

 

Software assisted validation helps organizations stay compliant with new regulations that are imposed in their industries by designing detailed checklists for them to follow. It simplifies the processes involved in risk management and helps document the changes made for future reference.

 

Pharmacy Benefit Management 

Pharmacy Benefit Management software helps regulate drug prescription and regulation of drugs. They interact directly with individual pharmaceutical manufacturers on behalf of insurance insurers and play a key role in controlling the drug-related expenditure for patients as they determine the cost of the drugs, discounts offered for them and those that are covered under insurance plans. PBMS assists organizations in designing and implementing tests to evaluate benefit programs and conduct benefit analytics to offer valuable insights that can improve work processes and offer flexibility to reduce setup and maintenance requirements.

 

Clinical Tasks

Software advancement has also simplified work processes for clinicians burdened with long work hours and data entry work during these trying times. The incorporation of efficient software for assisting the clinicians saves ample time and allows them to focus on addressing the health issues of patients. The software can help doctors in hospitals and health care organizations communicate efficiently, allowing pre-scheduling of priority cases and authorizations in cases without having to wait for hours for the same. This comes as a great advantage in high profile hospitals with huge patient flow and in small scale healthcare centers that are understaffed to manage workloads. 

Publication and Regulatory Services

Software solutions provide valuable assistance in research and publications for different fields such as pharmaceuticals, biotechnology, medicine etc. supporting these projects and researchers to perform their studies efficiently. The incorporation of AI in research has improved the scope of research and helped them achieve better results while reducing the expenditure of time and resources for the same. 

 

Growing safety concerns across the world regarding the safety of drugs and equipment has emphasized the importance of regulatory services and software applications have a role to play there too. They can help ensure that the different products and drugs manufactured by the companies comply with new safety rules and regulations which vary from one country to another. 

 

Drug Safety

Pharmacovigilance is an important area of work in pharmaceutical and medical companies that holds great significance in ensuring drug safety and regulation. Software solutions help companies operationalize new data sources and use them efficiently in resource-constrained environments. AI has found diverse applications in drug safety software as it helps collect, organize, understand and present data obtained from different sources efficiently to produce reliable conclusions.

 

Medical Writing

Medical writing is an integral part of the work processes in hospitals and organizations ranging from reports and research material to journals and magazines. Software applications offer assistance in medical writing through tools for word referencing, PDF processing, spell checkers, speech recognition etc. helping writers handle audio transcripts and recorded sessions. They ensure that the data written is statistically sound and of good quality to pass correctional review boards.

 

Statistical Management

Statistical management is a chief requirement for medical organizations and hospitals to handle clinical, research and financial data efficiently. Software applications offer pre-designed frameworks that help companies organize their data efficiently and analyze them for better interpretations. Various tools present in the software help analysts make detailed models for better comprehension of data and sharing of information.

 

Role of Companies in Digital Advancements

Technological and software advancements help medical institutions and companies gain an edge and work efficiently without the expenditure of much resources. They find difficulties in upgrading and implementing the advancements in tools and often require assistance for the same, which is offered by companies that help them bridge the gap between health and technology.

 

SG Health Pharma is one such company that has extensive experience in the field of healthcare with abundant resources and tools to guide and assist organizations to optimize their digital functioning. It offers a variety of services for healthcare institutions at optimal prices allowing them to choose freely and upgrade themselves to function better.

 

Conclusion

Innovation and creative advancements in technology are revolutionizing work processes in all sectors and the health care sector is no exception. Companies need to adopt these new tools and rise to the growing demands and competition.

 

7 Ways Cloud Services Are Shaping Up the Future of the Finance Industry

IT and Communications have advanced greatly in the past few decades leading to massive revamps across companies and organizations in different fields and sectors and Finance is no exception. Growing past their initial reluctance to accept cloud networking and services in their work setups, financial institutions and banks have started incorporating various cloud-based tools and services into the arsenal of products to boost their efficiency and performance. Cloud services integrate banking services from different branches into a single integrated online platform simplifying banking for your clients and customers. Here are a few insights on how cloud services are shaping up the future of the finance industry.

Introduction

The banking sector is transforming rapidly over the past few years with huge advancements in the field of IT and communications. Digital banking has become a reality with most banking institutions and it is found to be as efficient or sometimes even more efficient than on-premise banking. The initial stigma associated with online banking has been overcome with the advent of highly secure platforms reducing the aggregated risks associated with them. Cloud services have opened up various new avenues of services for banking institutions to improve customer usage and interactions. Studies report that the finance cloud market size is estimated to grow up to 29.47 billion USD in 2021, with an estimated Compound annual growth rate of 24.4%. 

Ways Cloud Services are Improving Finance Industry

Cloud services have helped the finance industry progress significantly and improve customer relations. Digital banking has simplified work processes and helped banking institutions focus on other areas of improvements, helping them advance at a faster rate. Here are a few ways by which cloud services have improved the finance industry.

Integration of Services

Unite data and information from all branches providing clients with great access and mobility from smartphones and devices with access to the internet. The integration of the data on a dedicated platform allows easy management and organization of data with high-level security protecting sensitive information. This also proves to be of great assistance in the research and analytics sector with vast amounts of data for analysts to work with and obtain insights from. Integration of data also improves the collaboration of teams across different branches and enhances the overall efficiency of your teams in carrying out tasks without obstacles and a redundant waste of time.

Robust and Resilient Operations

The incorporation of cloud services in banking services contributes to enhancing the resiliency of operations and helps institutions bounce back from any setbacks or disruptions in their functioning. The storage of data in secure platforms allows institutions to replicate data and services and shift from one main data centre to multiple storage centres. The COVID pandemic has demonstrated the resiliency that can be offered by cloud computing services, allowing banking employees to work in isolation from their homes to access data integrated into the platforms.

Secure Data Storage

Cloud servers have evolved to become highly efficient storage platforms with enhanced security measure for their clients. Financial institutions have relied upon these platforms for ensuring control and compliance with various regulations. Installation of the platforms by experienced professionals and conducting stringent security checks frequently assure institutions and clients safety and security.

Innovative Schemes and Services

Cloud computing provides a wide plethora of opportunities for banking institutions to improve their services and cater for their clients better. Interesting offers and schemes can be facilitated to attract new customers and optimize operations. It allows for easy incorporation of new tools and services such as Machine Learning, Intelligent Process Automation, Internet of Things platforms, Augmented reality etc. enhancing their capabilities to increase revenue and operational efficiency. 

Freedom to Scale

Financial institutions empowered by cloud computing services have the freedom to scale higher and lower as suited for their requirements. They can assist companies and organizations to cope up quickly with market shifts and unforeseen issues offering stability. Flexible payment platforms for cloud computing allow institutions to optimize their computing capacity as suited and provide more control on expenditure.

Revenue and Growth Prediction

The advanced analytics facilitated by modern tools accompanying cloud computing help predict revenue growth and customer experience. Data from all institutions are gathered and assessed using powerful analytical tools to evaluate customer experience and expectations. It helps make necessary modifications in the different schemes and offers, offering them a seamless experience based on their requirements. 

Financial Institutions with Cloud Computing

Various financial institutions have grown immensely with the incorporation of cloud computing into their practices. Continuous growth and advancements in cloud computing have propelled institutions rapidly to boost their efficiency and performance substantially. 

  • A leading financial institution has been using cloud computing services to improve their analytical capabilities and process financial data better. They were looking for a scalable environment to better analyse data and found the solution to their requirements with advanced cloud computing software. The incorporation of cloud computing has enhanced their post-trade analysis capabilities and allowed them to better foresee the market changes and their performance.
  •  A reputed insurance agency started using cloud computing services to empower itself and develop a hybrid working environment. It has greatly benefited from the scalability offered by cloud computing and the low costs at which they are possible.

Conclusion

Financial institutions are in a constant state of change and transformation to keep up with the varying needs of customers. Companies like Futran Solutions offer interesting cloud computing solutions for financial institutions to better enhance their efficiency and optimize their work processes. The incorporation of cloud computing services will significantly improve the abilities of institutions and are a part of the digital banking future that customers will experience and enjoy with satisfaction.

Automation in Recruitment Sector

Automation in HR/Recruitment Sector

The COVID pandemic has greatly affected the business world, crashing down economies with people getting laid off left and right by companies. We are slowly recovering from its devastating impacts. Getting back to our routines with companies opening back up and employees returning to their workspace. There has been a growing trend of automation-assisted recruitment by HR departments to simplify the process and bring back employee strength and performance to pre-COVID levels. Here are a few insights on how automation can influence recruitment

Introduction 

Automation has been an essential part of our work process since its inception and has diverse applications in various steps of our work. It has helped simplify work by handling repetitive, mundane work allowing employees to focus on more critical tasks that require dedicated focus and time, thus improving the overall performance and results of the company. HR is no exception to the growing applications of automation and has discovered great effectiveness in the incorporation of automation in HR. 45% of company representatives and HR leaders feel that automation makes their job processes better helping them save time. Polls suggest that HR employees spend nearly 14 hours per week on routine work that can be automated to save their time signifying how automation can simplify the recruitment of new employees. 

 

Applications of Automation in Recruitment

Robotic process automation involves the use of chatbots and digital software to communicate with new applicants and analyze various parameters required for recruitment of suitable candidates such as communication skills, personality assessment, etc providing HR and management with a holistic picture of their abilities. Polls suggest that only 26% of companies think HR utilizes data analytics efficiently and 61% of companies are modifying their jobs and recruitment tactics to better employ AI and automation in their work processes. Here are a few applications of automation in recruitment:

 

  • Sourcing of Candidates

    There are millions of candidates applying for job opportunities for different positions at companies and enterprises making it a humongous task for HR teams to go through their applications and assess them efficiently. Automated software helps weed out applications by intelligently weeding out unsuitable candidates and retaining only appropriate candidates for the interview process. Intelligent coding and properly planned out criteria establishment helps companies identify ideal candidates using techniques such as keyword tracking, applicant experience evaluation, etc. 

 

  • Communication

    Proper communication with applicants is essential to maintain company credentials and reliability to new applicants. Polls suggest 95% of the applicants would apply for a company again if they had a positive experience the first time and 80% of the applicants would not apply at a company again if they didn’t receive any form of communication from them. Applicants also report their bad experiences with such companies at social media platforms like Glassdoor affecting the overall reputation of the company. It is impossible for HR teams to directly engage with every applicant and that is where automation comes in to save the day, with efficient chatbots conversing with the clients and responding to them using bulk email systems. Proper analysis of their applicants is done using the software systems and appropriate feedback is generated by the systems to provide them suitable feedback about their application. Potential employees suggest that 69% of potential applicants prefer a reduced time of response from the companies.  

 

  • Enhanced Marketing Strategy

    Automation can help you plan out the email and social media campaigns meticulously with the software handling the major bulk of implementation of the strategy. Drip emails to active and passive candidates create a higher level of engagement with potential employees and improve correspondence with them. They help improve the reach of information and campaigns to people contributing to building robust talent pipelines and improving a company’s reputation. 

 

  • Interview Scheduling

    Automation also can assist HR teams in scheduling interviews with clients online easily after selecting suitable candidates from the initial pool of applicants. They interact with applicants and provide real-time access to the calendar of HR teams allowing them to select appropriate slots for their interviews making it easy for both parties. Chatbots can also answer frequently asked questions from applicants while leveraging computational linguistics and sentiment analysis to interpret communication and provide suitable responses. Companies with strong on-boarding processes after interviews increase employee retention by 82%.

 

How to Efficiently Tap in Automation Resources

Automation has a wide range of features to offer and as with all good things available; they come at a high price. HR teams should analyze and understand their requirements properly to employ automation efficiently in a cost-efficient manner. They need to train their teams to get them familiarized with the end-to-end automation of their recruitment processes. It helps them identify any inconsistencies in their software at the earliest to correct them as soon as possible. 

 

Compliance risks should be analyzed before initiating recruit processes to protect the company from potential risks and recruitment strategy should be discussed with stakeholders and partners thoroughly to ensure transparency in work processes.

 

Conclusion

Hiring suitable employees in companies is a tedious process with great responsibility ingrained in it. Companies need to recruit the right applicants for their job openings and retain them in their companies as it would cost them nearly 33% of their employee’s salaries in hiring a new one to replace their positions. Automated recruitment processes help build a diverse and robust network of talented employees improving the office culture and work environment. Understand automation processes and customize them to best suit your requirements to better enable your HR teams to empower your entire company.

 

Artificial Intelligence In Telecom: 5 Groundbreaking Findings Shaping The Future

It doesn’t take much research to know that telecom is one of the most consumer-hated industries. Out of the blue, this tells us two things about telecom in general. One, people need telecom. And two, telecom sucks at expectation management. In comes artificial intelligence. Like with every other industry that it’s touched, AI has come to telecom riding atop a pedestal of promises. However, Artificial Intelligence in telecom has been playing a vital role in the IT industry.

As it turns out, AI is delivering the goods in the telecom sector. Most importantly, every telecommunication company worth its salt is turning to AI to augment user experience and improve network reliability. Then, there is a whole new avenue of predictive maintenance. AI is kicking in big time to predict (and correct) faults and failures before they surface. Most experts believe that’s just the surface of what AI can do in telecommunications. Combined with machine learning, AI can help revolutionise the telecom sector for the better.

Here are five big ways artificial intelligence and machine learning are transforming the telecom sector right before our eyes:

5G Made Accessibility Easy

The US, the UK, and Korea have already rolled out their 5G accessibility in 2019. 5G guarantees greater bandwidths, higher speeds, and greater privacy. However, these additional features were not possible in previous generations. 

Meanwhile, artificial intelligence in the 5th generation has improved accuracy. It has enabled new connectivity and also enhanced layers of security at a fundamental level. Likewise, Artificial intelligence and 5G working together play a very powerful role in the new generation.

The Process of Systems Working Together 

MWC19 was an event organized in Los Angeles. It stands for Mobile World Congress. It was held from 25 Feb 2019 to 28 Feb 2019. That is to say, because the main theme of this event was mobile interoperability. This comes under system convergence.

IT Systems works on different standardized languages. It is impossible for two systems to communicate without using different dialects. To figure out what comes next, we need to step in and simplify it for humans to understand.

Data Organization

After the interoperability of the systems, AI plays a vital role in organizing the data.  Most importantly, standardized data is anyway more impactful. On the other hand, Artificial Intelligence reviews large batches of data and organize it in a way that is understood easily. Similarly, this helps in making better-informed business decisions.

Integrated chatbots and voice recognition are some examples of AI used in data organization. Similarly, it has become popular because of more time allotted to human interaction and discussion than standardization. 

Personalizing the experience

Meanwhile, the data is organized, it should be efficient enough for the business world. How does it help the telecommunication industry? Moreover, AI proves to be instrumental here as well. 

Personalization of services based on user preferences are on the cusp of breaking into the telecommunications scene. Identifying the user’s behavior and preferences and enabling personalized services is the forte of AI.

Customer satisfaction

Firstly, the usage of AI has cut expenses to a great level. Chatbots and virtual assistants automate to these support requests. They can handle a bulk of such requests without human involvement.

These virtual assistants automate the requests, analyze, and escalate customer queries if necessary. AI helps in identifying sales. Similarly, it also alerts the customer about other products and services. Keeping a track of all of this, AI improves customer satisfaction.

10 Real World Examples of Deep Learning Models & AI

For the vast majority of us, concepts like deep learning and Artificial Intelligence are still alien. Most people who come across these terms for the first time react with mixed feelings of skepticism and intimidation. How can we make machines learn and execute jobs meant for humans?  What really explains an entire industry bent upon making machines behave like humans?

While these questions are important and call for discussion, we can easily do away with much of the skepticism. That is, if we are willing to look at some real world applications of deep learning and artificial intelligence. In this article, we show you ten ways in which artificial intelligence and deep learning are turning wheels across industries.   

Where does deep learning come from?

Machine learning and deep learning are both subsets of artificial intelligence. Deep learning is the evolved and advanced phase of machine learning. In machine learning, human programmers create algorithms that learn from the data and derive analyses.

Deep learning is different from machine learning in that it works on an artificial neural network which closely represents a human brain. The same network allows machines to analyze data just the way humans do. Such machines with deep learning capacities do not require to act upon the instructions of human programmers.   

Deep learning is made possible through the ginormous amounts of data that we create and consume daily. Every deep learning model makes extensive use of data to facilitate data processing.

10 Real World Applications of Deep Leaning

Here are ten ways deep learning is already being used in diverse industries.

1. Computer vision

High-end gamers interact with deep learning modules on a very frequent basis. Deep neural networks power bleeding-edge object detection, image classification, image restoration, and image segmentation. So much so, they even power the recognition of hand-written digits on a computer system. To wit, deep learning is riding on an extraordinary neural network to empower machines to replicate the mechanism of the human visual agency.

2. Sentiment based news aggregation

Carolyn Gregorie writes in her Huffington Post piece: “the world isn’t falling apart, but it can sure feel like it.” And we couldn’t agree more. I am not naming names here, but you cannot scroll down any of your social media feed without stumbling across a couple of global disasters – with the exception of Instagram perhaps.

News aggregators are now using deep learning modules to filter out negative news and show you only the positive stuff happening around. This is especially helpful given how blatantly sensationalist a section of our media has been of late.

3. Bots based on deep learning

Take a moment to digest this – Nvidia researchers have developed an AI system that helps robots learn from human demonstrative actions. Housekeeping robots that perform actions based on artificial intelligence inputs from several sources are rather common. Like human brains process actions based on past experiences and sensory inputs, deep-learning infrastructures help robots execute tasks depending on varying AI opinions.

4. Automated translations

Automated translations did exist before the addition of deep learning. But deep learning is helping machines make enhanced translations with the guaranteed accuracy that was missing in the past. Plus, deep learning also helps in translation derived from images – something totally new that could not have been possible using traditional text-based interpretation.

5. Customer experience

Many businesses already make use of machine learning to work on customer experience. Viable examples include online self-service platforms. Plus, many organizations now depend on deep learning to create reliable workflows. Most of us are already familiar with the use of chatbots by organizations. As this application of deep leering matures, we can expect to see further enhancements in this field.

6. Autonomous vehicles

The next time you are lucky enough to witness an autonomous vehicle driving down, understand that there are several AI models working simultaneously. While some models pin-point pedestrians, others are adept at identifying street signs. A single car can be informed by millions of AI models while driving down the road. Many have considered AI-powered car drives safer than human riding.

7. Coloring illustrations

At one point, adding colors to black and white videos used to be one of the most time-consuming jobs in media production. But thanks to deep learning models and artificial intelligence, adding color to b/w photos and videos is now easier than ever. As you read, hundreds of black and white illustrations are being recreated in colored form.

8. Image analysis and caption generation

One of the greatest feats of deep learning is the ability to identify images and generate intelligent captions for them. In fact, image caption generation powered by AI is so accurate that many online publications are already making use of such techniques to save time and cost.

9. Text generation

Machines now have the power to generate new text from the scratch. They can learn the punctuation, grammar, and style of a piece of text and pen down effective news pieces. Robo-journalists riding on deep learning models have been producing accurate match reports for at least three years now. And the skill isn’t limited to match report writing exclusively.

AI-based text generation is fully equipped to handle the complexity of opinion pieces on issues concerning you and myself. As of now, text generation has helped create entries on just about everything from children’s rhymes to scholarly topics.

10. Language identification

At this point, we are looking at a preliminary stage where deep learning machines can differentiate between different dialects. For example, a machine will make the decision that someone is speaking in English. It will then make a distinction based on the dialect. Once the dialect has been established, further processing will be handled by another AI that specializes in the particular language. Not to mention, there is no human intervention in any of these steps.

These were just a few applications of deep learning that exist already. The further growth of deep learning models will bring to us many more uses of artificial intelligence around us. At Futran Solutions, we work with top-of-the-line AI resources that make the above industry applications of AI come to life. Contact us today to find out more about our RPA, AI, and deep learning solutions.

Jyoti Vazirani is the co-founder and CEO of Futran Solutions. She is a certified SAFe Agile coach and an out and out deep learning enthusiast.

What Does Corporate Accountability Stand for When Bots Do All the Work?

What Does Corporate Accountability Stand for When Bots Do All the Work?

Only one event commands the same absolute degree of certainty as death – disruption of the status quo. Unless you concede that transformation is the new status quo. In every industry.

We now live in an era where the promise of unprecedented growth is almost unchallenged. It takes no second guessing to formulate that such growth cannot be realized without an increasingly digitized workforce headed by business leaders that are not afraid to weave AI, RPA, and cognitive machine learning technologies into existing processes.

But like Jyoti Vazirani had stated in a previous article, the more we lean toward automation and machine learning and integrate them to our core business processes, the faster we realize that there’s an expansive human workforce calling for imminent, preferably immediate consideration. What happens to the corporate accountability of our human resources? More importantly, what happens to our human resources?

For the start, let’s not bluff ourselves with arguments that make rats and bats crack up. Intelligent, emotionless bots are far more ruthless when it comes to beating known standards of efficiency and productivity. It’s time the high and mighty leaders in business work to create the right synergy between humans and bots.

The audacity of bots

What has for long been an expectation and a speculation is now looking at us in the face as a guarantee of sorts. Bots will outperform humans, they’ll champion cognitive functions, and in the very near future even develop the capacity for thought, albeit with a debatable degree of independence. That explains why even as business leaders are running hay and hill behind robotic process automation, the workforce at large is unwelcoming of the change.

The madness of reaping early-bird profits from automated processes is so extremely insane that almost no business leader is ready to acknowledge the unavoidable employment crisis, let alone starting a meaningful dialog on it.

Crisis #1: Saving the value-based ecosystem

In the last two decades, organizations have successfully embedded a sense of value in their core missions and brand philosophies. Fortunately, the largest part of this change was brought about by the technology companies. If your mind is already reading out names of tech giants, you see my point.

Ironically, the first and perhaps the biggest industry that will be faced with the workforce imbalance ushered by bots is the technology industry – because of obvious reasons. How, when, and if at all the industry stands up to the challenge is shrouded under expansive dubiety.

If the technology industry – the very one that created the bots in the first place – does not act swiftly to save the value-based corporate ecosystem, it will become doubly difficult for other industries to follow suit.

Crisis #2: Maximizing convenience and minimizing pain

That’s just what bots will do. For their corporate masters. Will the effect be the same for lower-rung employees? Hardly. Here are some more questions that must be answered:

  • Will we create new jobs for displaced employees – jobs that we didn’t know existed?
  • Are we sure that bots guarantee a better and more sustainable corporate future?
  • Is there a long-term reskilling program that gives employees the flexibility to try out newer careers?
  • Does the combined human-bot workforce turn out to be as effective as it looks on paper?
  • Do business leaders even care?

There’s no definitive answer to any of these questions. But we must remind ourselves that history will remember us not for creating bots, but for what we did to humans after bots were created.

Crisis #3: Weighing down by Peter Principle

The Peter Principle is a benchmark corporate ideal laid out by Canadian educator Dr. Laurence J. Peter. It states that in organizational hierarchies, employees rise up the ranks through promotion until they are promoted to a position for which they are incompetent. In effect, it highlights the logical assumption that save a few exceptions, one individual cannot have mastery over many diverse fields within a corporation.

The principle also states that every position in the hierarchy of an organization will at some point be filled by people who are incompetent to fulfill their job roles in those respective positions. Dr. Peter also stressed upon the fact that such outcomes might not be related to the general incompetence of employees. It’s largely because new positions might require additional skill-sets which cannot always be imparted through training.

The Peter Principle has been as true lately as it was in 1968 when the term was coined. But there were no automated bots in 1968. So the principle applies exclusively to human competence, and to wit, to human employees.

Here’s how the principle unfolds with the bot-human amalgamated workforce:

  1. It will still apply to humans only because bots are not likely to receive promotions
  2. A large part of the human workforce will be saved from the Principle because they will no longer exist as a part of the workforce
  3. Of the humans that will still be a part of the workforce, very few will be engaged in the lower rungs of the hierarchy; the long chain of systematic promotion to the top will break and the Peter Principle will lose much of its premise
  4. Since there will be very few human employees, most of them will comprise of the top management of the organization. We can safely assume they will come with enough training required for their positions

If you’re reading this right, the Peter Principle might cease to even exist if the human-bot work grid is laid out at large. A solid, 50-year old tried and tested corporate theory based solely on logical deduction, human psychology, and organizational observation might die a sudden death without people even noticing. If this doesn’t send the alarm bells ringing in wild abandon, no corporate activist screaming off rooftops ever will.

Back to the drawing board

Let’s resume thought with the truth.

The sun is setting on thousands of employees. Nothing in the corporate universe is as lucrative as the prospect of making big money in small time. Most corporations impart skill-training to employees not really to help them grow their skill set. But to extract greater competency from the same resource. If they can replace skill training with an additional program on an automated bot and save both time and money, make no mistake – they will.

You could argue that the Top 100 companies might actually retrain staff for new jobs. I say yes, they very well may. But the best of the organizations have laid off staff by the hundreds for much smaller reasons. Plus, retraining might not automatically amount to retaining. More like “we teach you fishing and there’s a lake at 6 o clock.”

Like Jyoti had written earlier, the human workforce cannot be saved without government intervention. Might sound grim, but it’s just as necessary. Tech and other industry giants will plant so many trees that no one will ever talk about the human workforce they uprooted. They’ll make so many of those feel-good inspirational videos that no reporter will cover the plight of the jobless that were once employed with them. But are the governments even listening? They won’t unless people who care about jobs speak up. For very soon, jobs will make way for tasks in the most cruelly literal way.

Futran Solutions supports robotic process automation. We are a pro-technology company. And we believe that if a technology deserves to go viral, we must do our part in making it viral. We provide a range of RPA and AI solutions to industries across the board. Adjacently, we run a series of training programs to aid the displaced workforce.

Drop us a line to know how we can help you with RPA consulting and project implementation.  
Krishna Vemuri is the co-founder of Futran Solutions and the CEO of the up and coming tech startup Onata. He writes on technology industry dynamics and the rather eclectic tantrums of his husky, Loki.
Top Six Business Intelligence Trends 2019

Top Six Business Intelligence Trends 2019

Much like in 2018 and the years before, business intelligence is set to be among the hottest 1% of technologies in 2019 as well. With the new year in mind, both organizations and aspiring business intelligence professionals will be on the lookout for new business intelligence trends in 2019. Here is all that you need to know about ten of the most happening things in the business intelligence domain.

Before diving deep into new business intelligence trends, it is befitting to understand why business intelligence is that important a technology in the Industry 4.0 environment. At its core, the purpose of Business Intelligence is to decisively dig into past information and data to help organizations make better-informed business decisions. From that standpoint, the reason that propels companies to invest time and resources in BI remains quite consistent.

Like with all emerging technologies, the variations are often in the manners and manifestations in which a process or the organization as a whole embraces technology. With that, here are your top six business intelligence trends for 2019.

1. More dedicated time and resource for artificial intelligence

Artificial Intelligence has taken off – big time. Companies that have not yet invested time, resource, or research in AI have a lot to lose in 2019. However, that is a highly unlikely occurrence as one of every two companies that have not invested in Artificial Intelligence are all set to do so sometimes by 2019.

Quality AI platforms have the potential to work with data inputs at far greater speeds than humans. In addition, technological reliance helps address small details and prune minute errors that might easily miss the human eye. Some specific AIs have the power to provide streamlined information to customers.

By 2020 alone, 8 out of 10 companies will be using some of the other application of chatbots. A lot of valuable user interactions remain to be gleaned with the use of chatbots. For example, chatbots could easily make you a list of the words most commonly expressed or user sentiments that recur during conversations. On the face of it, this does not seem like much of a discovery. But such observations give rise to important discoverable patterns.

Put together, all these statistics reaffirm why AI is not another flash-in-the-pan moment in tech. The longer a business takes to deploy AI from here on, the harder it will become for them to catch up in the future.

Prioritized data governance

A bi-survey poll on business intelligence conducted with over 2600 business intelligence professionals concluded that the overwhelming majority of the participants rated business intelligence as a factor with above-average importance in data governance. The participants also unanimously agreed that business intelligence will have even greater say on data governance in 2019.

Consumer-centric industries like telecommunications and banking are the most likely to receive a makeover courtesy of business intelligence. Any industry that wishes to learn the value of business intelligence efforts should prioritize data governance over many other aspects.

Simultaneously, a lot of effort must also go into ensuring the accuracy of the data. If the information relayed is faulty, duplicate, or not completely accurate, it could result in serious repercussions. For one, employees would lose faith in the business leaders, making focusing on business intelligence not worth the effort in the first place.

Apart from this, it is important to note that the General Data Protection Regulation (GDPR) is in full swing across the European Union. With that, it becomes even more important to lay emphasis on business methods that treat consumer data most sensitively. Moreover, a regulation similar to the GDPR is set to come to California in 2020. Given that so much happening around data policies, it does not come as a surprise that business intelligence is molding accordingly.

Big data and for nuanced organizational support

Application of Business Intelligence goes beyond suggesting improvements in a company’s operations. The use of data for a positive social change keeps growing by the day. It is especially important to do so with the help of structured data banks. By streamlining efforts across a range of organizations, labor outputs can be maximized and extra data can be pooled into the development of new ideas.

There’s also been growing talk about making use of data for purely altruistic purposes in 2019. There have been companies that have focused on it for a reasonable amount of time. Way back in 2013, MasterCard made launched an independent subsidiary for data applications dedicated to the greater good. The best way for this to work out is to club big data into corporate social responsibility plans of organizations.

Success in achieving this could help businesses realize success beyond business profits. Sample this: most studies suggest that most millennials are more likely to work at companies that give back. So businesses have the chance to appeal to a larger pool of talent while figuring new ways to leverage business intelligence for social good.

Greater business intelligence integration in small companies

In 2018, Business Intelligence was particularly favored by organizations with fewer than 100 employees. This is the most conclusive evidence that the size of an organization does not go a great deal in influencing their decision to adopt Business Intelligence. It’s also a common observation that in smaller organizations, employees have a greater feeling of ownership toward individual business processes. This makes adoption of Business Intelligence easier in smaller organizations.

The rising use of Business Intelligence software across smaller organizations is all set to continue throughout 2019. Some credit would definitely go to an increasingly large pool of providers that are striving hard to make their services both accessible and affordable. The most crucial takeaway is that even employees with a tight shoestring budget can make decisive use of business intelligence.

Data interpretation through storytelling

Data storytelling has never been as big as it will be in 2019. Numerous conferences highlight the impact of data storytelling throughout industries. Conferences like the Data Visualization Summit in San Francisco explore the interpretation of data through the nodes of storytelling. Owing to the way data storytelling assigns the necessary context to data, data storytelling will remain a vital aspect of Business Intelligence throughout the length of 2019.

Skill in data literacy is required irrespective of how advanced the business intelligence platform is. Without that skill, figures cannot be interpreted and shaped into meaningful insights from which a business can learn. To rephrase, data literacy skill can add meaning to advanced data and how it can be meaningful to the business.

Not many people have the skill to make meaning of a spreadsheet filled with random numbers. And even the best-explained bar graphs are not easy pies for a bulk of the audiences. Nevertheless, the ability to storify data is still an indispensable skill.

Extended outputs by self-service business intelligence

With a self-service business intelligence interface, most companies might feel they do not need help from data scientists. But it is the opposite scenario when you dive deep into analytics. That is why four out of five businesses in a study involved in the UK plan on hiring data scientists in 2019.

The same study also pointed out how companies that use or plan on using BI believe that it gives them an edge over the competition. For companies that are yet to decide on taking the plunge into BI, self-service software would be a great start. Before making an investment into such tools, a business much look at what they really want in return. More importantly, a business should evaluate how seamlessly Business Intelligence gels with the overall operation of the company.

Futran Solutions specializes in delivering composite Business Intelligence solutions and resources. As applications of Business Intelligence in business is evolving, so are the resources that shoulder these needs within an organization. Speak to a Futran Business Intelligence specialist today. Find out how we help you achieve your business and marketing objectives.