Beyond Intelligence: The Next Wave of Business Applications

In today’s competitive world, the various sectors are at a crossroads. Companies following traditional approaches are struggling to keep pace with the fast pace of digital transformation.

So, the pace of the ongoing digital transformation demands a shift in paradigm with the help of intelligent applications (I-apps), which imbue the power of artificial intelligence (AI) and machine learning (ML) to automate tasks, get insights, and drive better decision-making that has the potential to reshape the future of various sectors.

Why Are Intelligent Apps Important for Business?

Intelligent apps are capable of continually learning the environmental, behavioral, and emotional patterns of users while completing the tasks assigned to them.  The applications are meant to forecast your requirements and present them as relevant information, ideas, or recommendations using predictive analysis, prescriptive analysis, operational vision, and product insights. Chatbots, virtual assistants, and recommendation engines on e-commerce sites are just a few examples of intelligent applications.

Let’s consider an example of Slack, a popular collaboration application that provides channels for team communication, file sharing, and connections with other productivity apps.

How Do Intelligent Apps Work?

Intelligent applications are not just clever software; they are built on a foundation of powerful technologies that enable their unique capabilities by empowering software developers to create intelligent apps that automate tasks, analyze data, and predict outcomes. Let’s take a quick glimpse into the mechanics behind how this application works:

AI and ML Technologies

Intelligent apps lie in AI and ML, as these technologies enable apps to process vast amounts of data, learn patterns, make predictions, and adapt their behavior intelligently.

Low-code and No-code Platforms

Democratizing app development, these platforms allow software developers with varying skill levels to create intelligent apps without extensive coding knowledge. These platforms provide visual interfaces, pre-built components, and drag-and-drop functionalities, making intelligent AI-powered app development more accessible.

Data Integration

Intelligent applications need seamless integration with various data sources, including databases, cloud platforms, and IoT devices, to make intelligent decisions and provide personalized experiences.

To Know More, Read Full Article @ https://ai-techpark.com/why-intelligent-applications-are-no-longer-an-option-for-business/

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Holiday IoT Defense: Essential Tips

As the festive season approaches, customers desire to deck their offices and homes beyond traditional ornaments and twinkling lights, as people are becoming more tech-savvy and opening the doors to allure in the world of smart devices. While smart devices, like voice-activating speakers, smart thermostats, smartwatches, self-locking doors, and many more, promise to add more convenience and comfort, lurking within this interconnected ecosystem lies a potential vulnerability: security.  

In this article, we’ll go over the best IoT security research and procedures buyers should conduct before purchasing gadgets this holiday season.

Four Best IoT Security Research and Practices

An IoT attack surface, at its most basic, is the total number of entry points for unauthorized system access since it extends beyond entrance points and encompasses all potential security flaws for IoT devices, linked software, and network connections.

With an understanding of the landscape, here are the 7 best IoT security research and practices buyers must do before buying devices this holiday season:

Research Before Buying Smart Devices

You should not be attracted by shiny advertisements; rather, dedicate time to researching different brands, their security measures, and customer reviews. Look for devices that prioritize your needs and have standard security features like secure boot sequences, regular firmware updates, and data encryption. For instance, instead of opting for a flashy smartwatch, research brands known for their robust security measures like two factors—authentication and secure data storage practices—also look for security audits and certifications like common criteria or ISO certification for added assurance.

Strong Passwords, Stronger Foundations

Passwords are the first line of defense; thus, avoid pre-configured generic passwords and opt for complex, unique combinations for each smart device. Enabling two-factor authentication whenever applicable adds an extra layer of security; for example, for your smart lighting system, enabling two-factor authentication via phone is an add-on security to prevent other users from controlling your system remotely.

Update Firmware Regularly

Outdated firmware can be riddled with vulnerabilities; thus, you should make it a habit to regularly check for and apply available patch updates on all your IoT devices. You can also set up automatic updates for your smart TV to ensure it is also up and running with the latest firmware patch, which helps prevent vulnerabilities that could allow hackers to exploit your viewing habits. However, some devices offer automatic updates, which is a bonus for convenient security.

To Know More, Read Full Article @ https://ai-techpark.com/top-iot-device-security/

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