How Semantic Search Will Change Search as We Know It

Semantic search is redefining search and how! Today, enterprise search tools are all based on semantic search in order to achieve higher relevancy and accuracy. This article takes a closer look into how it has changed our approach to search.

Search has come a long way with the introduction of advanced concepts and technology and with this, what we expect from it has also evolved with time. Now, one might wonder what was wrong with the traditional search approach, which was primarily based on keywords. Well, the simple answer is the lack of accuracy, as the keyword based approach can often go wrong. This lack of consistency can serve the purpose of the average user. However, when it comes to enterprises depending on the accuracy of the search to gather valuable insights for their business, there is a need for a more advanced search tool.

Moreover, what makes enterprise search more complex is the fact that it deals primarily unstructured and unorganized data. Gathered from multiple sources, the data is present in various formats, including social media, emails, images, documents. While all this data contains key insights that can be used to formulate important business decisions, it only adds to the complexity of the search process. This is where Semantic search, which is based on principles of artificial intelligence (AI), can step in as the solution to the challenges of the traditional keyword based approach.

How Semantic Search is Different

Now, in order to get a clear idea of how AI based semantics can transform the search approach, we must look into how it works. Now here’s the basic difference:

Keyword based search works by matching the query term with its density on a page. In other words, when a user types in a query, the platform starts looking for pages, documents and other sources for the presence of the term. The ones that have the query phrase in them are displayed in the results.

For example, if a user types in ‘test automation tool’, the results displayed through a keyword search will have the key phrase in them. While this often serves the purpose, its biggest shortcoming is the fact that it cannot display results with similar terms, such as ‘software QA automation’, ‘automation software for software testing, which do not contain the keyword but are very similar in meaning and essence.

However, semantic search is all about deciphering the meaning of the query term and then displaying results that are not just relevant to it, but also caters to a broad range of its synonyms. Thus, semantic technology significantly improves the scope of search and brings up results that are never displayed in totality by the traditional approach.

Note that synonym search is something that can be achieved with pure machine learning technologies, but is an exhaustive process that is time consuming and requires a lot of effort in training the machine to learn the set of synonyms. Moreover, pure machine learning has limited use in the absence of artificial intelligence.

Semantic technology that is based on AI is equipped with the capability of understanding the human language, as well as decipher the context of the query. Thus, semantic tools get the power to understand the meaning of the query term and its context, to show up the most relevant results, irrespective of its presence or absence.

The Key Advantages:

Now that we are clear about how it works and the possibilities it offers, let us sign off by looking at few of its advantages that have the potential to help your business gain the competitive edge.

  • It has the ability to extract relevant information from diverse sources, helping you broaden the scope of search results, without compromising on the relevancy.
  • It offers faceted search, which allows you to refine your results using one or multiple parameters.
  • It helps you establish relationships between different content, based on relevance and meaning.
  • It helps you get a better understanding the key concepts and trends that are important to your business.
  • It makes the search process faster, thus paving the way for quick insights.
  • It helps you draw accurate conclusions and use them to formulate strategies for your business.

Semantic search is redefining our approach to search and its ability to provide us with relevant and deep insights. Today, enterprises are awakening to the importance of investing in a semantic search platform for their business.


The Role of Artificial Intelligence in Improving Customer Experience

A lot has been said about artificial intelligence. In today’s world, you cannot ignore it. Big data has enabled organizations to boost AI. As a result, the AI has managed to improve customer experience.

The clients are the most critical entity of any business, and therefore as a business owner, you have to figure out all the ways of making your clients happy. In this article, you will get to understand the role of AI in improving customer experience.

1. Full-time customer service.

Every client needs convenient customer service at all times. When a customer has any problem, he or she requires it to be solved immediately, whether it is during the day, or very late at night. Due to that reason, companies are aiming to offer 24-hour support all year round. There is artificial intelligence enabled devices called chatbots which are efficient and can provide 24×7 customer support, unlike human beings.

2. Reduction in waiting time.

The use of AI helps companies to streamline the calling process. Whenever customers call, they can be arranged according to priorities and types of issues. Clients with specific problems are directed to agents who can easily and quickly deal with them. However, in case a client has a general query, the bot forwards it to any available agent. Therefore, clients do not need to wait for long on the line, and they end up being satisfied.

3. Building customer relationships.

If you are looking for brand loyalty, building customer relationships is essential. The advantage is that human beings have limitations which can be resolved by AI. Human beings may forget to update the clients on changes and updates on your brand. Incorporating AI ensures that your clients receive emails and SMS informing them of any changes made. As a result, clients feel valued and end up being loyal to your brand.

4. Personalized client interactions

Chatbots are virtual agents that analyze historical data and come up with real-time information that is used by human agents. The information helps the human agents to be spontaneous and come up with an experience that is specifically customized for the client. Additionally, the client will be happy and content because his or her needs are being put into consideration by the company. During your mobile app development, ensure you insert chat functionalities so that your employees can communicate with the clients on a personal basis. Brand loyalty increases.

5. Offering future opportunities.

Data crunching generates results to be used in the long term. Companies can analyze historical trends to predict future trends. Making use of machine learning and natural language processing data helps companies improve their products, services, and manage to reach the perfect target customers.

6. Omnichannel integration.

Nowadays, clients can reach companies using various channels- social media, website, mobile apps, and emails. Make sure you integrate the information from these multiple channels, so that customer experience is improved. A good example is a client who calls a company and leaves a message on the social media page. The agent should be able to get the data from all channels in an integrated manner. Many people are using smartphones, therefore, during mobile app development, you should consider making your company application to support all AI functionalities. The purpose of AI is to offer Omni channel support to the agents.

7. Repurpose historical data.

Companies try hard to collect data from all avenues; operations, marketing and customer behavior. In the past, such data used to be thrown away since people did not know what to do with it. With AI, businesses can get a great view of the clients hence improve CX.


AI is slowly proving its importance, but it will take a long time before most people ultimately accept it. When a new technology is launched, there are always people who are skeptical. What you need to understand is that AI is here to stay, and to gain an edge over your competitors, you need to incorporate it.


Web app vs native app development – which is better for your business?

Many businesses are starting to realize that they need Mobile App Development to help them accumulate more sales while also increasing their marketing efforts.

Businesses who use Mobile App Development to assist them can choose to use either web apps or native apps. Here is a look at Web App Development and Native App Development to help your business decide which option is better.

The Basics

Native apps function on a device while Web apps run on the inside of a web browser. You must download native apps from the app store and then install it to access the app. Web apps run directly through the web browser.

Native App Development Benefits

Native Apps Are Fast

Native apps reside on the device where they are created. Because native apps are created specifically for a device, using native apps can be easier than searching for a web app at times. Native apps have fencing technology that allows makers to set up virtual perimeters. Once you enter one of the boundaries, you will activate the app. Many businesses are using fencing strategies to improve their marketing efforts.

Native Apps Are Compatible With Others

Many native apps give you the option to sign in using a social media account such as Facebook or Twitter. This helps simplify the log in process and save you some time. Many web apps are not equipped to allow you to use other apps to sign in.

Near Field Communication

Your phone uses Near Field Communication when it pays for things. Web apps are not able to interact with the Near Field Communication chip that allows the payments to go through. Research has shown that mobile payment options enhance the customer experience.

Creative Features

Many native apps have unique features such as a proximity sensor and wake lock. These are features that are only available through a smartphone. The wake lock feature occurs when an app is able to overrule the settings for turning off the screen after the phone has been inactive for a lengthy amount of time. Many web apps do not have these features.

Web App Development Features

Web apps are known for their ability to create an app like experience for the user while they are viewing the content in a web browser. Many web app creators specifically looked for ways to eliminate a lot of these issues that people complain about when they use native apps.


Web Apps Are Compatible

Today, many web apps are using the newest edition of HTML, a coding language that serves as the foundation of the internet. Billions of people use the internet every day. That creates lots of opportunities for businesses that prefer web apps.

A Simple Experience

You don’t have to use any energy to try out a web app. You may only have to make a simple click to bring up a web app compared to using a native app, where you’ll have to find the app, download it, and then install it before using it.

Effective Design

Many web apps are able to implement the design capabilities that mobile websites use. Once the program has been written, it can run on any platform. The content adjusts itself based on the screen size and the type of device that the web app is being accessed on. The web app experience will likely be the same regardless if you need to move an arrow around the screen or if you are swiping up and down or across on your smartphone.

Affordable Entry

Due to the relative ease of creating a web app for consumers, businesses can save money even as they develop, launch, and promote the app. The relatively low cost of entry makes web apps attractive to businesses that want to see a quick return on their investment.


IT Managed Services vs IT Consulting Services: Know the Difference

IT Managed services and IT consulting services are both information technology services and the firms that provide one of them, often also provide the other one. While both have similar benefits to offer to organizations, there’s a difference in the scope of these services. This article takes a look at both of them to understand the differences.

Information technology (IT) is big today and enterprises from every domain have adopted information technology in order to streamline their business operations and increase productivity and efficiency. Some of the biggest IT companies today provide an entire range of services to cater to the varied requirements of the enterprises and their distinct business goals and objectives. So, you have IT consulting, managed support services, managed IT services, software development services, and so on. Here let us look at two of these services – IT Managed services and IT Consulting services – to understand their differences.

What is IT Managed Services?

IT Managed Services refer to proactive outsourcing of one or more aspects of a company’s IT infrastructure support and management to a managed service provider. The service provider is an Information Technology firm with a team of domain experts and is referred to as Managed Service Providers (MSP). In this model, the enterprise that seeks the services (the client) holds complete ownership of the IT infrastructure being outsourced while the liability of the provider only extends up to providing the managed services. There is a contract or agreement signed by both parties that defines the criteria and metrics to be adhered to.

While most big IT companies have an in-house team that looks into the management of IT infrastructure, small and medium businesses, including startups, cannot afford to have a team of experts working for them. This makes it difficult for them to keep up with the latest technology updates and security threats. Often non-IT professionals in the firm are forced to research on management of IT infrastructure, which takes up time and drives the focus away from other aspects of business operations.

Common Examples:

  • Systems Management
  • Backup & Recovery of Data
  • Data storage & Management
  • Management and Monitoring of Network Security
  • Human Resource Management
  • Production, Support and Maintenance of Software

What is IT Consulting Services?

IT Consulting Services refer to the practice of companies seeking the advice of domain experts on different fields of information technology in order to gain insights on making the best use of information technology to achieve their business goals and objectives. It is also called technology consulting and IT advisory, and basically involves an experts offering advisory or consultancy services to an organization (the client). The IT consulting industry involves three major types of consultancy providers – IT companies and firms, staffing firms, and independent consultants.

With the introduction of new concepts in technology, such as the Cloud, mobility and Big Data changing the business scenario, businesses have to constantly evolve their strategies in order to stay competitive. However, having an in-house team to strategize on the IT-based work and operations is not viable option for many small and medium businesses, primarily because of the costs involved and also the obvious lack of expertise and domain experts.

A client organization can hire the services of a IT consulting firm for different purposes, depending on its requirements. So, you have some IT consultants providing objective advice, others sharing their expertise and knowledge with the organization’s development team, and still others offering temporary help to crack a complex project successfully. However, the common goal of the IT consultants is to develop long-term and short-term strategies that help the client organization to drive business growth, and generate new revenue streams.

Common IT Consulting Services Examples:

  • Website and Database Development and Management
  • Expertise in use of complex IT tools and processes
  • Advice regarding the right IT investments
  • Insights gained from experience to help companies make correct decisions

Both IT Managed Services and IT Consulting services help organizations achieve the common benefits of cost savings, access to expertise and experience, time to focus on core business issues, and more. However, the basic difference is that while consulting involves seeking advice and suggestions from providers, managed services are about seeking their involvement in undertaking the project.