If you are working in the educational sector, you probably noticed that teachers are overwhelmed with administration, while students have to put up with a one-size-fits-all approach to learning and graduate completely unprepared for the demands of the modern workforce.

AI agents are autonomous, goal-driven systems that perceive, reason, and act—handling multi-step clinical workflows with human-like adaptability (e.g., diagnosing and offering mental health support) Unlike rule-based automation, AI agents learn, make context-aware decisions, and act proactively—transforming static automation into dynamic collaboration.

An average fitness app would cost you at least $100,000. This estimate doesn’t take into account solutions with complex custom animation and supplementary technologies, such as AI and computer vision. Fitness app development costs depend on the type of the application, its features, design complexity, integration with other components, deployment platform, the composition of the development team and their location, and the technical support you are planning to provide to your

Artificial intelligence (AI) has shifted from a bold experiment to a strategic necessity. Recent studies show that 88% of C-level decision-makers want to accelerate AI adoption in 2025. Yet, just a fraction of AI initiatives delivers the expected results.

Did you hear about the self-driving Uber car that hit and killed a woman in Arizona? On another occasion, a facial recognition solution profiled an innocent man of color as a criminal in New Jersey, and Amazon’s AI-powered recruitment tool displayed bias against female candidates.

Artificial intelligence in radiology - use cases and trends

An inmate at a New York correctional facility, Glenn Rodriguez, was due for parole soon. The man had demonstrated excellent behavior and eagerly anticipated his release to embark on a fresh start. To Glenn’s dismay, the board denied him parole.

TL;DR Many companies rush into generative AI without realizing just how steep—and unpredictable—the associated expenses can be. Meanwhile, the cost of implementing generative AI in business can range from $0.0005 per 1,000 text units (tokens or characters) if you use a popular commercially available Gen AI tool to over $190,000 for a fully custom solution based on a fine-tuned open-source model.

So, you are thinking of creating an innovative AR app for your business, and your top concern is how much augmented reality costs. A quick answer is anything, from a few thousand dollars for a straightforward AR app to $300,000 and more for a feature-rich, custom AR solution. The devil is in the details.

You can view artificial intelligence as an umbrella term encompassing different types of algorithms that can autonomously perform complex tasks that normally require human intelligence. For instance, AI models can analyze historical data to make predictions for the future. They can detect anomalies in a machine’s functioning before it breaks down. AI can even drive vehicles. And depending on which AI subtype you are looking at, it can compose music and generate artwork.

Do you have doubts about the viability of your mHealth application idea and whether the high healthcare app development costs are justified? The good news is that customers are willing to download and use medical apps. Let’s take a look at the numbers. One of the most popular health apps of 2024, Blood Sugar, scored 2.93 million downloads.

Edge AI brings artificial intelligence to local devices, deploying lightweight models directly on sensors, cameras, and IoT equipment instead of relying on cloud servers.

Artificial intelligence (AI) promises sharper insights, faster decisions, and leaner operations. Every organization wants in. But AI thrives on data. Yet most of that data is sensitive, and global regulations like GDPR, HIPAA, and CCPA are tightening the rules on how it’s handled.

Retrieval-augmented generation (RAG) is an AI architecture that enhances LLM accuracy by dynamically retrieving relevant, up-to-date information from external knowledge sources RAG significantly reduces hallucinations and improves response accuracy in critical domains like healthcare (96% diagnostic accuracy) and legal (38-115% productivity gains)

The costs of implementing AI in healthcare range from $40,000 for simple AI functionality to $100,000 and much more for a comprehensive, complex AI solution

2024 proved to be a watershed moment for generative artificial intelligence (Gen AI). A few months after OpenAI launched ChatGPT, McKinsey researchers revealed that one-third of companies were already using generative AI in at least one business function.

Have you ever tried to learn how a large language model works under the hood? Behind every smart AI tool lies an intensive but really fascinating training regimen. Training large language models (LLMs) is not a one-and-done activity—it’s a multi-stage process that turns raw data into powerful instruction datasets. From processing billions of words to mastering the art of not saying the wrong thing—the path from a blank-slate model to a specialized AI assistant is truly extrao

The JustSiftLab team estimates that you would spend at least $60,000 on a minimum viable product (MVP) version of an AI solution. The cost of integrating AI into your technology systems and business processes will rise proportionally to the solution’s type, complexity, and supported use cases. It should be noted that the above-mentioned price only covers your system’s artificial intelligence components; efforts to develop web, mobile, cloud.

According to the recent McKinsey survey, 78% of organizations use AI in at least one business function, with most survey respondents reporting the use of AI in an average of three business functions. This marks a significant jump from 55% in 2023 but still suggests covering only a fraction of where it could deliver value.

Everyone wants AI, but few know where to start. Enterprises face analysis paralysis with implementing AI effectively when massive, expensive models feel like overkill for routine tasks. Why deploy a $10 million solution just to answer FAQs or process documents? The truth is, most businesses don’t need boundless AI creativity; they need focused, reliable, and cost-efficient automation.

Artificial intelligence is capable of many things—from taking your customers’ calls to figuring out why your equipment is consuming way more energy than it used to.

According to the American Medical Association, physician burnout rate reached almost 64% in 2022, while professional fulfillment scores plummeted to 22%. This seems like the right time for the medical sector to look for a solution.

Some experts believe that AI agents are just a passing fad, while others dream of AI-run banks and artificial CEOs delegating work to AI agents and humans alike. Our artificial intelligence consulting company believes that this technology has great potential, but there are limitations that firms considering implementing AI agents need to be aware of.

Software development has always been complex. Today’s growth of tools, technologies, and intricate architectures, combined with the push for faster delivery, has intensified challenges. As complexities grow, ensuring software quality becomes paramount. In an era where digital experiences are crucial for customer satisfaction and business success, a glitch isn’t just annoying—it can hurt trust and cost money.

Unlocking the potential of generative AI for marketing success

As more businesses embrace digital innovation, ensuring the highest quality, usability, and security of software products becomes critical.

Conducting a data audit: what your company needs to know

Automated data collection is the process of harvesting data automatically from various sources without human intervention and storing it at the corresponding location in your company’s database/system.

What is data migration and how to get it right?

Top 7 ERP implementation challenges and ways to navigate them

Benefits of AI in healthcare: from diagnosing patients to automating workflows

The logistics and supply chain business has been experiencing a period of unparalleled transformation in the wake of COVID-19.

7 ways AI is making supply chains more resilient

How to implement AI in business: the definitive guide

AI and machine learning in bioinformatics: a powerful duo driving innovation in the promising industry

What is the Stargate Project, and how will it impact your business in 2025 and beyond?

Business guide to facial recognition: benefits, applications, and issues to consider

Human pose estimation: approaches, use cases, and implementation tips

Smarter business strategies start with AI decision-making. Here’s why

Computer vision applications have become ubiquitous nowadays.

Zooming in on the process of building a recommendation engine

The idea of creating AI clones might appear fantastical. Yet today, this concept has moved beyond science fiction.Consider this.

What Businesses Should Know About Large Language Models (LLMs)

Artificial intelligence is evolving, disrupting every industry. AI for mental health is about to become the next chapter.

Benefits of AI in healthcare: from diagnosing patients to automating workflows

So, what are AI agents? What can they do in theory and in practice? And which challenges can you expect during implementation and adoption?

In 2024, the amount of data generated by businesses and individuals reached 120 zettabytes. In the coming years, it is expected to grow at a

Unlocking the potential of generative AI for marketing success

How synthetic data generation using generative AI helps create better, more efficient models

How your company could benefit from automated data collection