Although it has been more than four decades that the first components-based software development (CBSD) studies were conducted, there is still no standard method or tool for component selection which is widely accepted by the industry. The gulf between industry and academia contributes to the lack of an accepted tool. We conducted a mixed methods survey of nearly 100 people engaged in component-based software engineering practice or research to better understand the problems facing industry, how these needs could be addressed, and current best practices employed in component selection. We also sought to identify and prioritize quality criteria for component selection from an industry perspective. In response to the call for CBSD component selection tools to incorporate recent technical advances, we also explored the perceptions of professionals about AI-driven tools, present and envisioned.

You know it, every marketer knows it, but let's say it anyway: marketing is one of the most multifaceted, fast-evolving tools for growing your business. Innovative software of all sorts, from old-school project management to super snazzy CRM platforms that integrate everything from email marketing to SEO – tech is every marketer's best ally. To take it up another notch (or ten), marketers can now use AI, as well. Particularly in the process of lead generation, AI can help you refine your strategies and get more impactful results. Here are 7 ways AI can improve lead generation for your business.

Dr. Rubeta Matin, NHS Consultant Dermatologist, reveals the challenges of setting up a new national skin database to support the development of dermatological AI in the UK It's common knowledge that the chances of survival increase dramatically if melanoma is detected and treated early. However, many algorithm-based applications that claim to identify potentially dangerous-looking pigment on the skin have not been formally and appropriately validated in intervention studies. There are also not many systematic and rigorous reviews to discover the true accuracy of these skin cancer diagnosing algorithms, especially those that were tested in an artificial research setting that may not be representative of the real world. It's reasons like these that drive dermatologists to question whether the false assurance given by these applications may delay individuals from seeking medical advice. Last February, a new study published in the BMJ revealed mobile applications that assess the risks of suspicious moles may not be reliable enough to detect all forms of skin cancer.

AI, or at least some forms of it, has been dictating the course of our lives for some time now. It has become an essential part of our industries. Multiple HR functions have reaped the benefits from the integration of AI-driven tools and algorithms. Last year, Gartner revealed that at least 17% of businesses use AI-based tools for HR functions, and is expected to rise to 30% by 2022. From cost savings to improved data-driven decision-making and employee experience, companies perceive a lot of value in AI-based solutions.

The Council of Europe has recently adopted key resolutions concerning AI and its intersection with media and journalism. Should computers write the news? If AI tools remove deliberately misleading information, is that an infringement of freedom of expression, or does it protect public discourse? During the recent Council of Europe Ministerial Conference (10 and 11 June), a final declaration and four resolutions were adopted to address these worries. The resolution domains included digital technologies, safety of journalists, the changing media and information environment, and the impact of the Covid-19 pandemic on freedom of expression.

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When you're growing your startup, there are countless things to consider – from product design to hiring your team. One of the most crucial aspects, though, is digital marketing. No matter how amazing your product, you've got to get the word out to create an audience for it. This is where digital marketing comes in. And AI is rapidly gaining ground here. It's an open secret that AI is transforming almost every aspect of our lives. In today's business world, harnessing AI is essential to keep up with competitors or even get a step ahead.

As the world adopted technology in day-to-day living and across various business functions, patients also have started demanding amplified quality of care, rapid diagnosis, improved life spans, and recovery from chronic conditions such as cancer. It is time to move past the conventional methods of healthcare and adapt to the new healthcare processes driven by modern tech. Artificial Intelligence has transformed every industry there is, and healthcare is no exception. The healthcare industry has always benefitted with the use of modern technology, and mobile devices and Artificial Intelligence has added to it, paving the way for improved quality of life for us humans. The impact of Artificial Intelligence for healthcare has been widespread, touching base with almost every element of healthcare - from diagnosis to record-keeping, preventive treatments to recovering from an epidemic.

Minority Report was a classic Steven Spielberg sci-fi film. Employing tech-noir, the film exhibited a dystopian plot showcasing the dire pitfalls and consequences of predictive law enforcement. The movie conceived a futuristic technology, mixing psychics and premonitions, to pre-empt crime, with a suspect apprehended using a special department labelled, quite literally, "PreCrime". Similar themes surrounding the deployment of intelligent machines to aid in law enforcement and criminal justice, which in turn go awry, have consistently featured in popular culture. These seemingly grandiose notions of artificial intelligence (AI) are rapidly finding themselves at play in real life.

A nurse avatar named "Molly" who regularly talks with patients about their symptoms and medical needs. Voice-recognition software that helps physicians document clinical encounters. A prescription drug-monitoring platform that can detect patients' opioid misuse. Systems that analyze millions of medical images to help physicians diagnose and predict diseases. Robots that extend the reach of surgeons.