Tech
Uses of Artificial Intelligence in Banking
Artificial Intelligence is one of the technologies poised to rule the world in the future. It has penetrated almost every industrial sector and businesses are able to achieve high operational efficiencies by applying AI. The technology can bring dramatic improvements where it is applied to automate the system for better performance and productivity. Many routine tasks carried out by humans can be accomplished automatically through AI. Chatbots, for example, can answer customer queries round the clock, replacing the need of any human to interact with the customers, thereby reducing a company’s work time.
Brands of every size, from enterprises to startups, need compelling, convenient, and robust AI tools that can assist them in transforming and migrating from legacy systems seamlessly. This is the reason the demand for AI engineers has increased considerably over the past few years. In light of this trend, training providers have started offering various kinds of courses to help learners gain expertise in using AI. You will find free courses, short-term courses, as well as postgraduate programs like PGP in Artificial Intelligence and machine learning online, and you can enroll in any of them.
Name any industry and you will find that AI has the power to revolutionize all of them. The current article focuses on the applications of AI in the banking and finance industry.
How AI is Transforming the Banking Sector
Those who have some knowledge of AI know that the potential of AI can be harnessed better when there is a lot of data. Thankfully, banking is one of the sectors that incorporates a massive amount of data. You may have heard that AI, and its important subset, machine learning is already helping the finance industry by preventing fraudulent transactions. However, the applications of AI are far beyond this one common application and future of fintech seems very bright. Discussed below are some of the uses of AI in the banking space.
Reduced operational costs
As per Autonomous, a financial research firm, traditional financial institutions that adopt Artificial Intelligence can save a whopping 22% in costs by the year 2030. Another study by Juniper Research has found that the operational cost savings from the implementation of AI-powered chatbots in the banking sector will reach an impressive $7.3 billion by 2023, up from a predicted $209 million in 2019. The operational costs in banking are being reduced by adopting Robotic Process Automation (RPA) software that takes up much of the time-intensive manual work and completes it without any error.
Improved fraud detection
These days, we have companies like Teradata and Datavisor that are offering banks specialized AI-based financial fraud detection solutions. There are cases where certain bank transactions are different from regular transactions and become very difficult for bank staff to take notice of. These anomalous transactions have chances of being fraudulent ones, and machine learning models are quite superior in detecting such transactions in real-time. In such a scenario, an automated message will reach the customer’s registered mobile number to confirm if they are the one initiating the transaction. These machine learning models can also detect phishing bank emails reaching customers and alert them of any fraud.
Improved functionality in mobile apps
Today, mobile banking is quite popular among customers and AI has a lot to offer in this area. AI functionality in mobile applications is becoming more personalized, proactive, and advanced. To remain competitive in the market, banking organizations are now emphasizing implementation of AI technology and improving their quality of services. Virtual assistants like Siri or Cortana are being integrated into mobile apps and to send money to someone, you just need to say something like ‘Send Rs. 2000 to Peter’ and the task will be accomplished within seconds.
Risk management
Risk management is often associated with disbursing of loans in the banking industry. It is a complicated task that involves maintenance of the confidentiality of user sensitive information when disbursing the amount. When giving loans, banks need to know the financial status of the borrower. With AI, such tasks can be accomplished with more privacy and accuracy. AI-powered mobile apps can track the financial activities of a borrower and analyze the banking data. This could help bankers to identify if there is a risk involved in giving loans to them.
Regulatory compliance
For any country, banking is one of the highly regulated sectors of the economy. Governments use it to ensure that banks have acceptable risk profiles. Banks need to continuously update its work processes as per the latest compliance rules and regulations. Artificial intelligence-based software can assist in monitoring transactions, keeping an eye on customer behaviors, and auditing and logging information to various compliance and regulatory systems.
Bottom Line
Apart from the applications mentioned above, AI has a lot to offer in the field of banking. You can also learn about how AI is redefining other industrial sectors. All you need to do is take up an online artificial intelligence course. There are many reputed online training providers who offer in-depth training on AI and machine learning. By completing such a course and achieving a certification, you will be able to demonstrate your AI skills and convince the employers that you are a right fit for the AI engineer job.
AI and machine learning are one of the most sought after career domains these days. By building a strong foundation in AI through an online course, you can have a rewarding career ahead. So, explore the world of AI today and learn about its various applications.
Tech
How Important is Machine Learning?
Have you heard about the subset of Artificial intelligence called Machine learning? Well, who hasn’t !! The way it has focused on adapting new data independently and making decisions, there is no doubt about the wonders it can do.
But are you aware of the accurate definition of Machine learning or its value? Because if you have not, then there is no need to worry. Here we have come with all the exclusive information just for you!
What is Machine Learning?
We can define Machine Learning as a subset of artificial intelligence that has turned out to be in great demand in recent times. It allows applications to be more precise when it comes to predicting outcomes. In other words, it allows the users to feed a computer algorithm and make it analyzed.
When corrections are found, the algorithm then incorporates that information and makes use of the updated one. This helps in improving the nature of decision-making in the future. Basically, machine learning models identify patterns, make decisions with no or little intervention from humans.
It helps in eliminating the possibility of human errors too. Now that you know the accurate definition of Machine learning, it must be making you desperate to understand its importance.
Wait !! Instead of searching for it anywhere else, keep reading till the end to get what you are looking out for.
Importance of Machine Learning – Find Out Now !!
Wondering why machine learning has become so popular and demanding? Indeed this is because of its high- value. It offers limitless quantities of data, inexpensive data storage, and powerful processing.
It would not be wrong to say that data is the lifeblood of businesses. Companies creating robust machine learning models are now able to analyze huge data within minutes.
Besides, they are receiving faster and accurate results which are hardly expected from human employees. Organizations are able to recognize opportunities that can profit them. And all that is happening due to technologies like AI or ML.
Moreover, they are able to identify the possible risks and eliminate them earlier. No brainer, it has been affecting the organization’s bottom line in every way.
From keeping up with competitors to falling further behind, it has helped in making data-driven decisions. Enterprises usually rely on data and have the urge to analyze it.
They now have machine learning by their side. When Machine Learning performs at its best it helps to make plans, strategies and create models. Therefore it helps the organizations to beat their competitors in the best way possible.
What are the Advantages that Machine Learning Offers?
Would you like to know about the advantages that machine learning offers? With limitless benefits, it has gained a special place in the market. The following tips mentioned below will help you to know about a few distinct advantages that ML offers.
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Improvement
Machine learning has the capability to learn from offered data. It helps the algorithms to ensure improvements. This means when new data is given, it helps in improving accuracy and making better decisions.
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Complete Automation
Machine learning comes with the ability to automate different types of decision-making tasks. This contributes to saving a lot of time.
Besides, it helps developers to become more productive with time. With its automated nature, it is changing the world beyond our thoughts and expectations.
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Identifying Trends and Patterns
There is no doubt how helpful this quality of machine learning is. If you understand machine learning well, then you would know how different types of algorithms can be used in regression problems.
With the help of technology, different trends and patterns can be discovered easily.
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Huge Variety of Applications
Machine learning has become popular with each passing day. From defense, health to education, and more, every field has accepted it fully. Businesses are now generating profits, eliminating costs, identifying trends, and whatnot- using Machine Learning.
Software’s like GPS tracking, text prediction, spell check, and others are used popularly. As machine learning is a specific sector of AI, no wonder it supports a variety of applications.
Final Words
Machine learning is used in various types of industries. This includes manufacturing, retail, healthcare, energy, and more.
Machine learning is growing with time, it is increasing in value for business operations.
Tech
Top 3 Microsoft Project Alternatives
Microsoft Project planning tools help you plan and track your projects seamlessly. However, using Microsoft Project requires a great deal of training and experience. Moreover, this project management tool cannot focus on a particular industry.
If your company is in a pinch, requesting to buy a new copy of Microsoft Project may return the following answer: Isn’t there a free Microsoft Project alternative?
Yes, there are many paid and free Microsoft Project alternatives out there. Below are some of my suggestions to help you choose the right one.

Hive
Hive is a project supervision tool and collaboration program that allows Starbucks, Uber, WeWork, and IBM. With AI-based analytics, thousands of integrations, flexible project views, and more, Hive streamlines your work on a single centralized platform, providing more than just a Gantt chart. Used by teams of sizes, from 10 to 1,000, Hive is an excellent alternative to Microsoft Project for multiple companies and work styles.
Hive’s time tracking, analytics, and soft design capacities provide you a bright look at what other team affiliates are performing and expected projects. Hive also has the greatest entirely combined email trait in a project management tool that empowers the app to transfer and accept Gmail and Outlook messages. If you’re looking for a comprehensive Microsoft Project alternative that can grow and shrink to suit your team’s needs, then Hive is for you.
Merlin Project
The latest version of the Merlin Project is very well done. The Mac version of Microsoft Project looks very similar and gives you fine-grained control over creating project plans, which many other options overlook.
Create tasks and subtasks with dependencies and constraints, add work content and duration separately, assign resources with options to shorten or increase the period and how much work each resource does. You can check if you have appointed and add your fields to each task to define the field types (checkboxes, dates, etc.). The Merlin Project also includes great new features such as Kanban board, resource pool, and mind map, and the Apple App Store also offers standalone apps.
Tom’s Planner
Tom’s Planner is a paid web-based Gantt chart software that allows anyone to quickly drag and drop Gantt charts to collaborate and share online. Tom’s Planner is a more manageable and collaborative Microsoft project alternative, but it’s expected to substitute teams seeking to cooperate with Excel. In conclusion, there is no approach to define dependencies or non-working hours (bank holidays, etc.), giving the impression of MS Excel.
However, if you want to create a simple project plan, I think it’s pretty good. Web-based, very intuitive, and easy to use. Another prominent feature is adding links to other websites and online documents, and embed your schedule on your blog, website, or intranet. The actual business feature here is that you can share and collaborate online, but the downside is that it’s fundamental.
Factors to consider when choosing an alternative tool for Microsoft Project
Consider the following factors when choosing an alternative mechanism for Microsoft Project:
- Being able to collaborate on projects so that your business team can work together
- License cost.
- Integration with other software and tools
- Choose a tool that can support the growing needs of your business.
- The cost of training employees with tools
- Consider the security options offered by your software provider.
Tech
Why Choose Drupal Over WordPress: A Comprehensive Comparison
In the realm of content management systems (CMS), two platforms stand out as leaders: Drupal and WordPress. Both are powerful tools with their own strengths and weaknesses, but choosing the right one for your project is crucial. In this article, we will delve into the reasons why you might want to consider Drupal over WordPress for certain use cases.
I. Scalability and Flexibility:
One of the primary reasons why developers and enterprises prefer Drupal over WordPress is its scalability and flexibility. Drupal is designed to handle complex and large-scale websites seamlessly. Its modular architecture allows developers to create highly customized solutions tailored to specific business needs.
Unlike WordPress, which is initially geared towards blogging and small to medium-sized websites, Drupal’s architecture is more robust. This makes it suitable for building anything from personal blogs to enterprise-level applications. Drupal’s flexibility is particularly advantageous for businesses with evolving needs and those planning substantial growth.
II. Content Modeling and Data Architecture:
Drupal excels in content modeling and data architecture, providing a sophisticated framework for organizing and categorizing content. It allows users to create and manage content types with fields, providing a high level of customization. This feature is especially beneficial for websites with intricate content structures or those requiring extensive data relationships.
WordPress, on the other hand, is more straightforward in terms of content management. While it’s user-friendly and great for beginners, it may become limiting when dealing with complex data structures. Drupal’s robust content modeling capabilities make it an ideal choice for organizations with specific content requirements.
III. Security Features:
Security is a paramount concern for any website, and Drupal has a strong reputation for its security features. Drupal’s community actively monitors and addresses security issues promptly. Its core code is designed with security in mind, and the platform provides a range of tools and modules to enhance site security.
WordPress, being the most widely used CMS, is also a frequent target for hackers. While the WordPress community is diligent about releasing security updates, the sheer number of plugins and themes available introduces potential vulnerabilities. Drupal’s emphasis on security and its proactive community make it a preferred choice for organizations that prioritize safeguarding their digital assets.
IV. Performance and Speed:
Drupal is often praised for its performance and speed, especially when compared to WordPress. The way Drupal handles caching, its optimized codebase, and the ability to fine-tune performance settings make it an excellent choice for websites that demand high-speed loading times.
WordPress, while efficient for smaller websites, can become resource-intensive as the site grows. Drupal’s architecture, with its focus on performance optimization, makes it a go-to option for projects where speed is a critical factor, such as e-commerce sites or media-heavy platforms.
V. Community and Support:
Both Drupal and WordPress boast large and active communities, but the nature of their communities differs. Drupal’s community is known for its strong collaboration on complex projects and its commitment to open-source principles. The community actively contributes to the platform’s development, ensuring continuous improvement.
WordPress, with its massive user base, is excellent for finding solutions to common issues and for accessing a vast repository of plugins and themes. However, for more specialized or complex projects, Drupal’s community-driven approach often provides more tailored support and expertise.
VI. Customization and Theming:
Drupal’s theming system offers a high level of flexibility and control over the visual presentation of a website. With the Twig templating engine and a well-defined theme layer, developers can create highly customized and responsive designs. This level of control is particularly advantageous for businesses with unique branding requirements.
While WordPress has a robust theming system as well, Drupal’s theming capabilities shine when it comes to intricate and customized designs. The ability to control every aspect of the theme makes Drupal a preferred choice for designers and developers looking to create visually stunning and unique websites.
VII. Internationalization and Multilingual Support:
For websites catering to a global audience, Drupal’s internationalization and multilingual support are key features. Drupal’s core functionality includes built-in support for multiple languages, allowing content creators to easily manage translations and present content in different languages.
While WordPress does support multilingual plugins, Drupal’s native support for internationalization simplifies the process, making it more efficient for organizations with a diverse audience.
Conclusion:
In conclusion, while WordPress remains the dominant player in the CMS market, Drupal offers a compelling alternative for specific use cases. If scalability, flexibility, security, and advanced content modeling are top priorities for your project, Drupal emerges as a strong contender. Assessing the unique requirements of your website, considering factors like performance, customization, and community support, will guide you in making an informed decision between Drupal and WordPress. Ultimately, the choice depends on the nature and goals of your project, with both platforms continuing to evolve to meet the dynamic needs of the digital landscape.
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