Artificial Intelligence (AI)

Best Open Source AI Platforms For Innovation

by Gargi Banerjee | Jan 22, 2025 | Android App Development, Artificial Intelligence (AI), iPhone App Development, Website Development

(1 votes, average: 5.00 out of 5)

In recent years, the integration of artificial intelligence (AI) into our everyday activities has increased significantly. At the heart of this advancement is the open-source movement, which encourages collaborative initiatives among developers and researchers to create groundbreaking AI projects. A growing number of developers are choosing open-source AI frameworks instead of using proprietary APIs and software. Lets Begin With Whats Open Source Open source software (OSS) refers to software that can be used, redistributed, and modified at no cost, often made accessible through public code repository services. The advantage of open source is that they are a clear and collaborative process that benefits from community-driven peer evaluation. Open source projects can be rapidly updated and adapted as required, providing dependable and versatile software that isn’t constrained by proprietary systems. These projects, available on platforms like GitHub, play a pivotal role in digital innovation across sectors such as healthcare, finance, and education. Let’s Have A Look At The Benefits Of Using Open Source AI Open-source AI has become a significant contributor to fostering innovation and accessibility in numerous domains. Its distinct features provide substantial advantages for developers, researchers, and organizations. Here are a few key benefits: Transparency and Continuous Enhancement: The inherently collaborative nature of open-source AI ensures transparency and continuous optimization, culminating in the evolution of robust, feature-rich, and modular AI toolsets. Plethora of Use Cases: Open-source AI platforms encompass a multitude of advanced applications, including but not limited to, real-time anomaly detection, medical imaging diagnostics, personalized recommendation engines, and adaptive learning systems. Accessibility: Open-source AI frameworks and models are readily available to developers, researchers, and enterprises, promoting extensive...

How Much Does It Cost To Build A Mobile Application

by Gargi Banerjee | Jan 16, 2025 | Artificial Intelligence (AI)

(1 votes, average: 5.00 out of 5)

Factors That Impact Your Mobile App Development Cost The cost of developing a mobile app depends on a number of important aspects. You will get the best return on your growth and be able to make the most cost effective decisions if you are aware of these cost-affecting aspects. Additionally, it will help you in complying with the budget you have set. Now let’s examine the main elements that influence the total cost of developing a mobile application Note: The values shared within this post is only for representation purposes and the actual cost of development may vary depending on various factors. 1. Mobile App Complexity Creating a basic app typically costs between $5,000 and $50,000. Basic user features like a dashboard, user profile functionality, login system, and limited management are included in a simple application. A medium-complexity app can cost between $50,000 and $120,000. Numerous features for user interaction and app revenue are included in a medium-complex app. These apps include basic functions as well as social media integrations, payment gateways, streaming of audio and video, user privacy, and more. The price of a sophisticated app may range from $100,000 to $300,000 or more. These applications incorporate cutting-edge technologies like AI, machine learning, and AR/VR. High-end data logic, multilingual support, and many other features are also included in these programs. App Type Possible Features Average Timeline Average Cost Simple application MVP functionality Basic UI 2-3 months $5,000-$50,000 Medium application Sophisticated features Custom UI 3-9 months $50,000-$120,000 Highly complex app High level advanced features Bespoke UI Two platforms 10+ months $100,000-$300,000 2. Features and...

Modernizing Legacy Systems: Strategies for Enterprise Software Development

by Gargi Banerjee | Jan 13, 2025 | Artificial Intelligence (AI)

(1 votes, average: 5.00 out of 5)

Modernizing Legacy Systems: Strategies for Enterprise Software Development Businesses are constantly under pressure to innovate and maintain their competitiveness in the ever changing technology landscape of today. Managing legacy systems is a significant obstacle that many firms must overcome. These antiquated, yet frequently essential, systems can impede security, scalability, and agility. It is not only technically necessary but also strategically vital to modernize legacy systems. We will examine important tactics for updating old systems in corporate software development in this blog post. Recognizing the Need for Modernization Even though they were dependable in their prime, legacy systems can eventually become bottlenecks. They frequently employ antiquated software languages, run on outdated hardware, and are unable to integrate with contemporary apps. Keeping these systems up to date has the following effects: High Maintenance Costs: Maintaining legacy systems frequently calls for specific knowledge and resources, which raises operating expenses. Security Risks: Due to a lack of patches and updates, outdated systems are more susceptible to cyberattacks. Limited Scalability: The size and complexity of contemporary commercial processes are beyond the capabilities of these technologies. Lack of adaptability: An organization's capacity to react swiftly to shifts in the market and client needs may be hampered by legacy systems. Although modernization of a legacy system can be quite a challenging task, with the right planning and implementation, the change results in higher ROI and improvement in overall output. Here are a few strategies that you could use, however, you would also require a seasoned implementation partner to get the job done for you in the right manner and in the shortest time. Revamp and Elevate...

How AI Enables Digital Transformation Across Industries

by Gargi Banerjee | Jan 10, 2025 | Artificial Intelligence (AI)

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How AI Enables Digital Transformation Across Industries To stay competitive in today’s era, businesses can’t avoid having a digital presence and are forced to adopt new technologies. Gone are the days when Legacy Systems could do the trick to keep your business running and generate optimal profits. One of the main drivers of the change is Artificial Intelligence (AI). AI revolutionizes how businesses operate and transform traditional practices and systems into more efficient and innovative approaches. AI is revolutionizing a number of industries, including manufacturing, retail, healthcare, and finance. It’s improving operations, assisting companies in making smarter choices, and creating opportunities for fresh concepts. AI, for instance, aids medical professionals in making more precise diagnoses and offering individualized care. It greatly improves the efficiency of risk management and fraud detection in the financial industry. In the retail industry, AI helps predict product demand and offers customers individualized shopping experiences and in manufacturing, AI helps in increasing supply chain efficiency and helps forecast when machinery may require maintenance. Growth of AI By 2030 As per Forbes report, the global AI market is expected to see an annual growth rate of 36.6% up to 2030. Industry Transformation: How AI Is Acting as a Catalyst for Digital Transformation AI and digital transformation are combining to create significant development in a number of industries. On a worldwide basis, the technology would greatly increase GDP and productivity in a variety of industries such as manufacturing, healthcare, finance, and retail. Let’s have a look on how the different sectors realize the benefits of AI in digital transformation. AI in Healthcare AI applications in healthcare improve...

How Scammers Use AI & Deep Fake and How You Can Protect Yourself

by Gargi Banerjee | Apr 26, 2023 | Artificial Intelligence (AI), Blockchain

(1 votes, average: 5.00 out of 5)

AI and Deep Fake Artificial intelligence (AI) is rapidly advancing, and one of its most concerning applications is the creation of deep fake videos. Deep fake technology uses machine learning algorithms to create realistic videos of people saying or doing things they never actually did. These videos can be incredibly convincing and have the potential to spread misinformation and manipulate the public. What is Deep Fake? Deep fake is a type of artificial intelligence that uses neural networks to create convincing videos. These neural networks are trained using thousands of images and videos of a person’s face, which allows them to create realistic videos of that person saying or doing things they never actually did. The Dark Side of Deep Fake The potential for deep fake technology to be used for malicious purposes is significant. It can be used to create fake news videos, blackmail people, or even create fake pornography. In fact, deep fake pornography has become a major issue, and many people have been victims of having their faces superimposed onto pornographic images or videos without their consent. Deep fake technology is a growing concern due to its potential to spread misinformation and manipulate the public. While it may seem like harmless fun to create a video of a celebrity saying or doing something out of character, the darker implications of this technology cannot be ignored. Here are a few examples: Fake News: One of the biggest dangers of deep fake technology is its potential to spread fake news. Imagine a video of a politician saying something outrageous or offensive. Even if the video is completely fake,...

Can AIs like ChatGPT be used to commit Identity Fraud?

by Gargi Banerjee | Apr 11, 2023 | Artificial Intelligence (AI), Blockchain

(1 votes, average: 5.00 out of 5)

While ChatGPT by itself is not capable of committing identity fraud, it can be used to create fictitious data or documents that may be used fraudulently. There have been allegations that criminals used ChatGPT to carry out their crimes, and there are worries that ChatGPT might be used to spread malicious code. When utilizing any technology, including ChatGPT, it is crucial to exercise caution and vigilance. What are the risks of using ChatGPT for generating fake information? There are various risks associated with creating fictitious data or documents using ChatGPT. The method could be used by scammers to pose as someone else and get access to confidential data or financial accounts. By making bogus ChatGPT-branded Chrome extensions that may hijack Facebook accounts and collect cookies and Facebook account data, scammers have already taken advantage of ChatGPT’s popularity. Concerns have also been raised concerning ChatGPT’s capacity to create bogus anonymous sources and propagate false information. Providing confidential company or personal information using ChatGPT could be dangerous. When using ChatGPT, it’s crucial to exercise caution and double-check the validity of any information or documents you receive. What dangers can arise from employing ChatGPT for phishing attacks? Malevolent actors can exploit ChatGPT to create more intricate phishing scams that can generate emails in different languages, with fewer identifying marks of fraudulent messages, such as incorrect grammar and spelling. Cybercriminals can take advantage of ChatGPT’s capabilities to produce highly convincing phishing emails, making it challenging to recognize cyber-attacks. ChatGPT can effortlessly generate countless coherent and convincing emails in a matter of minutes with unique tones and writing styles. These attackers can also sidestep...

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Best Open Source AI Platforms For Innovation

How Much Does It Cost To Build A Mobile Application

Modernizing Legacy Systems: Strategies for Enterprise Software Development

How AI Enables Digital Transformation Across Industries

How Scammers Use AI & Deep Fake and How You Can Protect Yourself

Can AIs like ChatGPT be used to commit Identity Fraud?

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