MicroStrategy BI Tool is the most innovative AI based business intelligence tools which stands as a stalwart, providing organizations with a robust BI tool that transforms raw data into actionable insights. It is packed with a multitude of features, MicroStrategy BI Tool is a force to be reckoned with, elevating analytics capabilities for businesses across the globe.

It is 10X faster and comes with embed data insights, self service reporting, and AI chat assistant to augment app workflows with automatic answers. The features increases customer retention and enhance efficiency.

Apart from above features, in this article, I’ll explore more key features that make MicroStrategy a front-runner in the realm of Business Intelligence Tools.

1. Unified Platform

MicroStrategy BI Tool distinguishes itself with a unified platform that encompasses the entire business intelligence process. From data discovery and analytics to visualization and reporting, users experience a seamless and integrated workflow.

2. Data Connectivity

The tool offers extensive data connectivity, allowing users to connect to various data sources effortlessly. Whether it’s databases, spreadsheets, or cloud-based platforms, MicroStrategy ensures a smooth integration process.

3. Powerful Data Discovery

MicroStrategy BI Tool’s data discovery capabilities empower users to explore and analyze data intuitively. The platform’s interactive dashboards and reports facilitate in-depth data exploration, enabling users to uncover valuable insights.

4. Interactive Data Visualizations

A standout feature of MicroStrategy is its rich library of interactive data visualizations. Users can create compelling charts, graphs, and dashboards, making it easier to communicate complex data in a visually appealing manner.

5. Mobile Analytics

In an era of mobility, MicroStrategy BI Tool shines with its mobile analytics capabilities. The tool is optimized for mobile devices, ensuring that users can access and interact with reports and dashboards on the go.

6. Self-Service Analytics

MicroStrategy promotes a self-service analytics approach, empowering users across different departments to create their own reports and visualizations. This democratization of data ensures that insights are not confined to a select few.

7. Hyper-Intelligence

A cutting-edge feature, Hyper-Intelligence, brings insights directly to users within their everyday applications. This embedded intelligence minimizes the need for users to switch between applications, enhancing productivity.

8. Predictive Analytics

MicroStrategy integrates predictive analytics capabilities, allowing organizations to forecast trends and make informed decisions based on historical data. This feature adds a layer of foresight to the decision-making process.

9. Security and Governance

MicroStrategy BI Tool places a strong emphasis on security and governance. The platform provides robust security measures, including role-based access controls and encryption, ensuring that sensitive data remains protected.

10. Cloud Deployment

Recognizing the importance of cloud computing, MicroStrategy offers cloud deployment options. This flexibility allows organizations to leverage the scalability and accessibility of the cloud for their BI needs.

11. Collaboration Features

MicroStrategy BI Tool facilitates collaboration with features that enable users to share insights, reports, and dashboards seamlessly. Real-time collaboration tools enhance teamwork, fostering a culture of data-driven decision-making.

12. Open Architecture

With an open architecture, MicroStrategy BI Tool allows for easy integration with other applications and systems. This extensibility ensures that organizations can tailor the platform to their specific needs and workflows.

In conclusion, MicroStrategy BI Tool emerges as a comprehensive solution that caters to the diverse needs of organizations in the realm of business intelligence. With its unified platform, emphasis on data discovery, and innovative features like Hyper-Intelligence, MicroStrategy continues to be a trailblazer in empowering businesses with actionable insights.

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In today’s advanced digital age, customer relationship management (CRM) has evolved much from traditional standalone desktop software to a technology-driven advanced web based software which has adopted many technologies in its making. Artificial Intelligence (AI) is one of them that is playing a pivotal role in this transformation, revolutionizing the way businesses manage and enhance their interactions with customers.

AI enabled CRM systems can help recognizing patterns, recommend best possible actions, predict outcomes and automate future sales processes. Now AI enabled CRM can understand and analyze data of customers more deeply. They can analyze market & sales data and can provide more insights to grow the future sales and help companies in making better decisions.

Some of the leading vendors that offer AI enabled CRM include Creatio, Pipedrive, HubSpot Sales Hub, Zendesk Sell, Freshsales, Quickbase, ClickUp, Salesforce Sales Cloud, Monday Sales CRM, and ActiveCampaign for Sales. These vendors offer low-code or no-code development option, predictive lead scoring, next action recommendations, call data entry & collection automation.

Let’s explore the significant impact of AI in CRM.

1. Data Analysis and Personalization

AI enables businesses to process vast amounts of data efficiently. This data, including customer demographics, purchase history, and online behavior, is analyzed to create detailed customer profiles. With this information, businesses can personalize their interactions, offering tailored product recommendations and content.

2. Predictive Analytics

AI empowers predictive analytics by forecasting customer behavior. By analyzing historical data, AI algorithms can identify trends and anticipate future actions. For instance, AI can predict which customers are most likely to churn, allowing businesses to take proactive steps to retain them.

3. Chatbots and Virtual Assistants

AI-driven chatbots and virtual assistants are available 24/7 to respond to customer inquiries. They provide quick and accurate responses, enhancing the customer experience. Chatbots can handle initial inquiries and respond based on preselected questions and answers, and can later add human responses based on the complexities of inquiries.

4. Enhanced Customer Support Through AI Enabled Customer Relationship Management

AI-powered CRM systems can route customer inquiries to the most suitable agent based on the nature of the query. This ensures that customers are connected with the right expert, improving query resolution times.

5. Improved Lead Scoring

AI-driven CRM can assign lead scores based on the likelihood of conversion. This ensures that sales teams prioritize leads with the highest potential, increasing efficiency.

6. Sentiment Analysis

AI can analyze customer feedback, reviews, and social media interactions to determine sentiment. This provides valuable insights into how customers perceive a brand or product, allowing businesses to make necessary adjustments.

7. Automation of Routine Tasks

AI can automate those tasks which are repetitive in nature, such as data entry and follow-up emails. This frees up employees to focus on more strategic and creative aspects of their roles.

8. Customer Retention

AI helps identify at-risk customers by detecting changes in their behavior. Businesses can then implement retention strategies to prevent churn.

9. Sales Forecasting

AI can provide accurate sales forecasts based on historical data and current trends. It is quite possible that this forecast may or may not work in future or businesses could not see the same amount of sale in future but this can help businesses setting realistic goals and allocate resources effectively.

10. Customer Journey Mapping

AI assists in mapping the customer journey by identifying touchpoints and interactions. This helps businesses understand the customer experience and optimize it.

11. Regulatory Compliance

AI-driven CRM systems can help ensure compliance with data protection and privacy regulations by monitoring and managing customer data in a structured manner.

12. Competitive Advantage

Businesses that embrace AI in their CRM strategies gain a competitive advantage. They can respond to customer needs more effectively, creating loyal customer base.

In conclusion, AI has significantly impacted customer relationship management. It enables businesses to deliver more personalized and efficient services, enhances customer support, automates routine tasks, and provides valuable insights through data analysis. Embracing AI in CRM is no longer an option but a necessity for businesses looking to stay competitive and meet the evolving expectations of their customers.

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Data is being created all the time, from devices, applications, and users, because it’s digital and measurable, but what about offline? The data is waiting to be discovered by the action you perform offline and its information on the physical world. Devices that can capture, convert, and save the newly discovered data can help many businesses. It is an excellent way for any business or industry to measure its operation with this real-time data to make decisions further and target the right customers.

With the help of data collected through devices, they can forecast and anticipate the event proactively. They can solve the issue before they become more prominent and affect the whole business. No matter which field you are into, one can measure the real-time performance of their products in all the places that matter.

Wondering how IoT can help us collect that massive data? Here we are with a straightforward explanation on the same.

While connecting to the Internet, what all devices do you expect to be connected to? Mobile phones, tablets, computers, etc., right?

What if I say that any device could connect to the Internet and exchange data with each other (in the form of collecting and sharing), and this is the concept of the Internet of things.

With the price of processors and wireless equipment becoming cheaper and smartphone usage becoming commonplace, it has become possible to turn any device into an Internet of Things device. There is an opportunity for everything to be connected to the Internet, hence interconnected to any other device.

IoT can help improve human beings’ efficiency by eliminating the less critical time gaps in daily human schedules and making them more productive. Let us see an example for better understanding- Sandra has her important meeting at 09:00 A.M. Her alarm rings at 07:00 A.M, which further passes on the bathroom geyser’s information to automatically switch on for bathing.

The sensors and connectivity will pass on the info. The coffee machine starts performing its work by the time Sandra reaches the breakfast table, and after that, the car will begin to show the route with less traffic so Sandra can arrive on time. If by any chance due to traffic she got late from the time, an automatic message will be sent to the office intimating about the delay. So here, all the devices are smart and connected to the Internet, passing on information and improving time management. All the appliances are interconnected, making things seamless and smooth.

AI (Artificial Intelligence) and IoT (Internet of things) Relativity

Understanding the need and potential of IoT and AI, companies are investing in these sectors. The combination of these two super-powerful technologies has redefined the way businesses, economies, and industries function. Above we have discussed how IoT performs, but the question arises: how are they getting to know all this data, and how can they be more efficient?

The answer is while IoT deals with machine communication using the Internet, AI makes sure the appliances gather knowledge from their figures and experience. And this helps data scientists to predict the upcoming demand and business insights using time series analysis which eventually helps in better decision making and performing intelligent tasks.

IoT+ AI = AIoT (Artificial Intelligence of Thing)

When artificial intelligence is added to the Internet of things, it means that AI empowers IoT to create intelligent machines that cause imaginative understanding, correlating, decision making, support, and act smartly with significantly less or no humanoid involved.

Here are some examples in which the corporate world changes over with the introduction of IoT and AI.

1. Automatic Homes/ Smart Homes

In the concept of smart homes or automated homes, these are gadgets included- CCTV camera, AC, fridge, oven, water purifier, security systems armed with sensors in the home perform like intelligent devices and connected with IoT applications. Here, Artificial Intelligence acts as a powerhouse in collecting data, analysis, and decision-making systems to act spontaneously.

2. Automated Security

The security system should be solid and reliable; implementing an automatic locking system using IoT can escalate this risk. AI can collect the daily pattern of accessing doors or systems of the employees and understand the regular pattern of different individuals. AI can detect or alert us of any suspicious activity.

3. Smart Alarm

Like the fire alarm set in the buildings, AI can make the machines intelligent. So they can not only buzz the alarm at the time of the fire, but they can also call the relevant number, send a system alert, and start to sprinkle water.

4. Smart Parking

The sensor at the parking area can alert the potential parkers for the availability of parking, which AI empowers by using the map destination data and can show the available parking space by offering the parking area route. It is another essential time-saving aspect, which resolves through the alliance of AI and IoT.

Conclusion

The final word of this informative blog is, Both IoT and AI are superheroes and can make things, businesses, and lifestyles brighter, and their alliance can make a big difference. The combination of two can help in achieving more extraordinary digital transformation. IoT and AI are the two most deadly industries that require relevant skills and expertise. Businesses are aggressively investing the money to realize their potential.

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What we expect today can introduce tomorrow. It shows the power of science and technology that is proving that they can make our life pleasant. These techs never fail to surprise us whether launching new gadgets or some large machinery that reduce human labour.

When our data comes to in danger, the researchers begin with the various methods. Among many technologies “facial recognition technology” catches many eyes. Not only for the benefits but comes under the many controversies.

Despite the controversies, facial recognition technology is one of the most adaptable techs by the companies. Numerous firms have invested quite the right amount of money. But, we cannot neglect the disadvantages of this tech. It is crucial to understand both the aspect of it.

Let’s have a look at them.

What Is Facial Recognition Technology?

In simple words, it is a biometric technology that uses facial features to identify a person. It may seem simple, but the working is more complicated.

First, understand how it works.

Working on facial recognition technology 

1. Collect necessary details: Physical and behavioral samples

2. Extraction of information from the samples

3. Go with up to data with templates

4. Matching the face features from a model with the existing one

These are the four steps that every system has to follow. It is used by most of the businesses rather than for personal use.

The reason behind using is “NUMEROUS BENEFIT”. But it has some cons too that we will discuss later in this blog.

Now, start with benefits.

Advantages of Using Facial Recognition Technology

There are four benefits that you will understand below.

1. Boost safety

2. Make the process faster

3. No additional money required

4. Support hygiene

Let’s understand them in details. But these are leverages that both small and large firms are taking.

1. Boost safety 

It is no doubt that it provides better security. For instance, if someone whose information is not fed in the system tries to access the data, then it will reject the system. It shows that facial systems provide better security to both the company and personal details.

If you analyze at a significant level, then the government use this to catch a suspected person. Only face detection can help to detect them. And the best part is that it required no password or any other details. All things will occur automatically.

2. Make the Process Faster 

If a human does any work, then there is a possibility of error. But, when the machine performs such activities, then the probability of generating error reduces. However, it can happen if there is a problem in the system, but such cases are hardly noticed.

It shows that when work is happening without any error, the process of work done will be rise.

3. No Additional Money Required To Hire

Handling things manually, means you have to hire two or three-person. It will increase the cost unnecessarily. But, with facial recognition technology, human labour reduces. It may need one-time investment, and you have to spend money on installation.

It can be helpful to small businesses because the hiring person introduces extra expenditure. If you are one among them, and left job to pursue your business dreams, then cost plays an active role. In such a scenario, you can bear the installation charges with small funding options from online lenders. There you can apply for unemployed loans and may get instant funds on the same day.

In this way, you can reduce the unnecessary expense to some extent.

4. Support Hygiene 

In facial recognition, there is no involvement of the physical body. It directly supports the hygiene that is good for several reasons, like:

• Reduce the transmission of germs

• Healthy environment

These are the significant benefits of installing facial recognition technology. Now, it is time to know about threats or limitation of it.

Limitation of Facial Recognition Technology 

Disadvantages are quite less as compare to benefits. Let’s understand them in details.

1. May Hurt The Privacy 

When it detects the human by his face that means it has all the information about you. From eye to hair, every single thing is located in the database. It is true because the technology still has to develop in many situations.

Nevertheless, many security companies bring changes and hope it will become more secure. And, will destroy the breaching factor.

2. May Provide Wrong Information 

There is no doubt it provides 100% efficiency in facial recognition, but at the same, there is has some issue. For example, multiple cameras are used to make a facial recognition platform. If anyone of them dislocates from the place, then it will reject the request.

It can create problems, but it does not happen often. This is rare care, and hardly people face it, but it is a problem.

3. Carry Much Information 

Suppose a company has a thousand employees, then this system has information about them. It carries everything from facial structure to eyes. It leads to massive data storage, which may create severe issues, like:

• Breaching factor

• Data leakage

• Privacy concerns

It could be difficult for small firms to store such a large number of data. They may run out of the data storage.

These are the disadvantages of the facial recognition system. Conversely, it does not prove that it is not worthy to install.

It is a detailed study of facial recognition technology. You can see how effective it is for both the small and large firm. However, it has some limitation, but hope that it will be recovered with time, and everyone can use it without any issues.

Description: Facial recognition deposit is one of the fastest-growing technologies. You can learn more about it on this blog (Facial Spoofing). Go through it and see how effective it is.

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Online businesses have a lot at stake due to the digital age and even a lot more to earn from in case of a foolproof customer on-boarding process. Imagine a digital world, where the unique facial features of a person act as their access codes instead of an ancient password that is susceptible to hacking as well as cracking by a smart password cracking tool. Facial recognition or face verification is truly the next-age wonder that can help online businesses to capitalize on their strengths and leave the rest to technology.

There are several identity verification systems in place that take help from biometric identification technology to verify the identity of their end-users. They also use the unique facial features of a user to detect the authenticity of an identity document, thus establishing overall identity verification protocols for fraud prevention and protection against account takeover.

How Face Recognition or Face Verification Works Online?

Online face verification or face recognition online is one of the most common and low budget methods to perform biometric authentication. It is creeping in almost all business sectors. A “faceprint” is created by collecting unique information from a person’s face. While customer on-boarding, a faceprint is first examined for face recognition and verification and to ensure that a real person is using their own image to perform Facial Recognition Online. After that real faceprint is stored in the central databank of a business and every time that person asks for access to perform a transaction or to perform any other thing, they are required to prove their identity through face verification. At that point, that unique faceprint will be used as a benchmark for cross-matching the provided facial proof by a user.

Facial Spoofing & Liveness Detection

Facial spoofing is the idea of ‘fooling’ a system, where an intruder attempts to gain unauthorized access to a certain individual’s system. The element of spoofing also contains the manipulated impersonation of oneself to gain access to a system through malicious ways. Anti Spoofing, on the other hand, is the opposite of Spoofing, that is the process to stop spoofing to take place. Anti Spoofing is a technique that involves minimizing the potential ability of fraud to happen, with respect to facial recognition systems and associated technology.

But before we discuss different aspects of biometric authentication with the help of facial recognition technology, here is something that you must know about liveness detection. Liveness Detection is one of the anti-spoofing measures to be protected from unauthorized access. Ever since more and more traditional identity management systems are witnessing spoof attacks. To minimize the possibility of having break-in attempts, having an appropriate level of liveness detection is useful. Implementation of liveness detection for the biometric verification process encourages it to reach its maximum potential. It eliminates the risks of facial spoofing attacks using a static picture or spoofed facial features. Additionally, it leads to greater client trust and paves a path of improved business-client exchange and relations.

Common Challenges in Facial Verification

Scammers use a still photograph of someone, printed or displayed on a digital device in front of the sensor.

Print Attack – Scammers use a still photograph of someone, printed or displayed on a digital device in front of the sensor to fool facial verification technology.

Replay/Video Attack – Scammers use a pre-recorded video of a potential victim set on a loop. This approach ensures behavioral and facial elements appear more ‘natural’ in front of the sensor.

3D Mask – A step ahead, for advanced facial recognition systems. Scammers have created specialized/realistic 3D masks of potential ‘victim identities’, once worn on a face by a fraudster and used to imitate realistic facial movements. This sort of attack helps deceive extra layers of security like depth sensors.

So, online face verification technology provides an extra layer of security to your business. It is hard to spoof due to the innovative features being added to this technology every passing day. Now with technologies like face recognition and liveness detection, the unique facial features of a person can be used to detect their identity to combat various online frauds.

Face Recognition Online Tools

With the advancement in Artificial Intelligence (AI) and computer processors, new avenues have opened for online face identification and face recognition online. Most of the startups worldwide are developing such apps which make use of Face Recognition. These apps are coming with user authentication, attendance tracking, face recognition, adding face scanner online etc. type of capabilities.

These online face recognition software components are difficult to build and adopt so many of the startups buy and add these capabilities from the expert vendors such as Microsoft, Amazon, Kairos, Betaface and BioID etc. Most of the services are chargeable but their authenticity of work is proven. Software Development Kits (SDK) and Application Program Interfaces (API) built with Artificial Intelligence (AI) are bundled and supplied for the facial recognition and identification/verification.

Face Recognition Free and Open Source Tools

There are various open source face recognition tools available which can also be used as per the sensitivity of your business and need. You can go though about their capabilities in details in their respective websites and contact them for the support and capabilities etc. However below we’ve listed some of the basic capabilities of these tools-

1. OpenBR

OpenBR, a leading facial detection and biometric recognition framework that supports the development of open algorithms and reproducible evaluations. OpenBR is supported on Windows, Mac OS X, and Debian Linux. The project is licensed under Apache 2.0 and releases follow the Semantic Versioning convention. Internally the code base uses the CMake build system and requires Qt and OpenCV.

2. Flandmark

Flandmark is an open source C library (with interface to MATLAB) implementing a facial landmark detector in static images. Detector parameters learning is written solely in MATLAB and is also part of flandmark.

The input of flandmark is an image of a face. Face detector provided by the courtesy of Eydea Recognition Ltd. was used to detect faces during the learning of parameters.

3. OpenFaceTracker

OpenFaceTracker is a facial recognition program capable to detect one or several faces on a picture or a video, and to identify them via a database. OpenFaceTracker is open source, inspired from the American Tv show “Person Of Interest”.

4. FaceFirst

FaceFirst is a face recognition identity authentication solution supplied with API and SDK allows for easy integration with a variety of third-party systems. The face recognition solution FaceFirst is proudly designed, engineered and supported in the USA.

5. DeepFace

With this solution, user can detect and locate human faces within an image, and returns high-precision face bounding boxes. Face detection is the first step to analyzing and processing faces.

Face Recognition Search Engines

There is massive data available in Search engines and to manage images and user account, these search engines have enabled Face search and facial recognition.

Google images search has enabled face recognition to use an image to search for similar images. Here we can click on the camera icon to search the images or similar images by an image.

PicTriev searches similar faces when you add the URL or upload a photo in JPG or JPEG format, with a size no larger than 200 KB, and the search engine will return matching celebrity images found online.

PimEyes uses images and face recognition to search for similar faces on over 10 million websites. You need to upload photo of a person and click on Search icon then it will present with result of similar faces.

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