Databases are increasingly embracing AI to provide autonomous system optimization and intelligent in-database analytics, aiming to relieve end-user burdens across various industry sectors. Nonetheless, most existing approaches fail to account for the dynamic nature of databases, which renders them ineffective for real-world applications characterized by evolving data and workloads. This paper introduces NeurDB, an AI-powered autonomous database that deepens the fusion of AI and databases with adaptability to data and workload drift. NeurDB establishes a new in-database AI ecosystem that seamlessly integrates AI workflows within the database. This integration enables efficient and effective in-database AI analytics and fast-adaptive learned system components. Empirical evaluations demonstrate that NeurDB substantially outperforms existing solutions in managing AI analytics tasks, with the proposed learned components more effectively handling environmental dynamism than state-of-the-art approaches.

Not too long ago, professional web designers wouldn't dream of using a no-code website builder--if you didn't personally write each line of HTML and CSS, could you really call yourself a real designer? Today, many professional web designers have enthusiastically embraced no-code solutions, using them to get more done in less time without sacrificing quality. Similarly, we're now seeing advanced artificial intelligence (AI) tools combined with the ease of no-code platforms. These new solutions are changing the way we use data and opening up exciting possibilities for all sorts of businesses. In the first generation of AI analytics, companies were primarily concerned with collecting and storing data.

Cofounder & CEO at Obviously AI, a no-code AI tool that empowers businesses to build industry-leading predictive analytics models. Not too long ago, professional web designers wouldn't dream of using a no-code website builder--if you didn't personally write each line of HTML and CSS, could you really call yourself a real designer? Today, many professional web designers have enthusiastically embraced no-code solutions, using them to get more done in less time without sacrificing quality. Similarly, we're now seeing advanced artificial intelligence (AI) tools combined with the ease of no-code platforms. These new solutions are changing the way we use data and opening up exciting possibilities for all sorts of businesses.

Avanade is a global professional services company providing IT consulting and services focused on the Microsoft platform with artificial intelligence, business analytics, cloud, application services, digital transformation, modern workplace, security services, technology and managed services offerings. HQ in Seattle, the company has 50,000 professionals in 26 countries. Avanade serves 34% of the Fortune 500 and 46% of the Fortune Global 500.

Every technology industry is talking about the benefits of Artificial Intelligence. More than a buzzword, AI is hyped as a panacea, while at the same time, it is often misunderstood by those who might benefit from it the most. AI may mean different things to different people, there are plenty of aspects that apply to all disciplines. The ability for a machine to "learn" from data it is presented is at the core of all AI use cases. The term "machine learning" derives from that most basic idea.

Security cameras are a great way to keep an eye on commercial spaces without being on-site, especially after-hours. While security is a 24/7 business, most organizations can't afford to monitor their systems at all hours of the day and night. Hiring a third-party provider to monitor is expensive, and even with eyes on screens, human error still results in missed reports, slow response, and increased insurance and liability costs. However, new strides in cloud-based and AI technology are leveling the playing field for small and mid-sized organizations, and are making commercial video surveillance systems smarter than ever before. Recent advancements in AI-based video security have made this technology more powerful and accurate.

Business Process Management (BPM) is a discipline that helps organizations mobilize resources, automate mundane manual tasks, measure and improve business automation processes and enable self-service through business intelligence. Traditionally the concept of BPM has centered around the priority of cost-cutting and process atomization alone. However, digital transformation in this modern world has revolutionized and the focus has now shifted towards improving customer service. Today, as Artificial Intelligence (AI) becomes more prevalent, businesses are considering whether making AI Chatbots a part of BPM tools will allow companies to optimize work and cut human errors out of processes while improving service to customers. Based on a report from the research firm Forrester's, Rob Koplowitz mentions, Business process management (BPM) is in the throes of an extreme makeover and here are the areas where BPM will evolve.

Senior author and data science lead Professor Aldo Faisal, Director of Imperial's Centre in AI for Healthcare at the Departments of Computing and Bioengineering, said: "In the ever-changing landscape of the pandemic, clinicians are constantly learning and adapting to patient needs, which themselves change every day. Critically, we have set up a standing digital service evaluation of UK ICUs, getting day-by-day treatment data from ICUs across the nations. Our machine learning tool could help track patient progress in real time and help inform ICU guidelines by filling the gaps of patient care – reflecting back to clinicians to identify best practice quickly and benefit from sharing.

Researchers used AI to identify which daily changing clinical parameters best predict intervention responses in critically ill COVID-19 patients. The investigators used machine learning to predict which patients might get worse and not respond positively to being turned onto their front in intensive care units (ICUs) – a technique known as proning that is commonly used in this setting to improve oxygenation of the lungs. While the AI model was used on a retrospective cohort of patient data collected during the pandemic's first wave, the study demonstrates the ability of AI methods to predict patient outcomes using routine clinical information used by ICU medics. The researchers say the approach, where each patient's data were analysed day-by-day instead of only on admission, could be used to improve guidelines in clinical practice going forward. It could be applied to potential future waves of the pandemic and other diseases treated in similar clinical settings. This is the first study that examines daily COVID-19 patient data, using AI to understand the clinical response to the rapidly changing needs of patients in ICUs.

The company's proprietary AI algorithms have analysed nearly $1 trillion worth of global construction projects and deploys this learning to spot delays and recommend improvements with an accuracy and scale previously not possible. In doing so, nPlan's data-led insights effectively reduce the volatility of and increase investor confidence in construction projects. There continues to be a significant global appetite for major infrastructure projects, both in the immediate boost they provide to jobs and construction companies' revenues, and the ongoing economic impact they can have on regions and even whole countries. According to recent data from the Royal Institution of Chartered Surveyors, 'In the last quarter of 2020, before the latest lockdowns, construction industry workloads increased for the first time since 2019. Further to this, 2020 saw a seven month period of increased activity and expansion within the UK construction sector.