Job adverts which use the words'ambition' and'drive' may deter women from applying. Stereotypically masculine job descriptions can leave women feeling'intimidated' and worried about facing a'boys' club', a study has found. When researchers removed'masculine' terms like entrepreneurial from an advert, they found the proportion of women applying increased by four per cent. Men who were not alpha male types were also more likely to go for the job. Dr Joyce He, who led the study from the University of California, Los Angeles, said: 'Changing the language of a job advert, which is such a small and cost-effective thing to do, could encourage women to apply and be more inclusive for everybody.

Worldwide spending on artificial intelligence will hit half a billion dollars this year, according to IDC. Five artificial intelligence experts give Information Age their predictions as to how adoption of AI will accelerate in 2023. Expect to see AI playing a bigger role in frontline healthcars in 2023, says Adonis Celestine, director of automation at Applause. This will be particularly true in the UK and Europe where there is a shortage of doctors and general practitioners. Chatbots were used to diagnose symptoms during Covid, says Celestine, and in the future we'll see more instances of AI filtering patients through to the correct medical professionals, once the initial diagnosis has been identified.

Zurich - Founded in 2021, medtech aiEndoscopic combines artificial intelligence (AI) with robotic endoscopy. Its first development, intuBot, presents an all-in-one solution for airway management. It aims to make the life-saving process of endotracheal intubation, used in emergency medicine in particular, much easier and thus save lives. It is based on a collaborative project with ETH Zurich, University Hospital Zurich, and the University of Zurich. Additionally, the startup has been selected to form part of the Switzerland Innovation Park Zürich as well as to join the group of Swiss Venture Leaders Medtech 2022.

Artificial intelligence is giving finance a boost -- through robo advising, its ability to improve fraud detection and claims processing, and more. Despite the upsides, there are risks and public policy challenges that must be considered, said Gary Gensler, chair of the Securities and Exchange Commission and a former professor at MIT Sloan. "I think that we're living in a truly transformational time," said Gensler, who spoke at the recent AI Policy Forum summit at MIT. Artificial intelligence is "every bit as transformational as the internet," especially when it comes to predictive data analytics, "but it comes with some risks." During the conversation, Gensler shared his thoughts on how artificial intelligence is changing finance. Having solid predictive models is crucial in AI, whether it's in social media or in driverless cars.

The A-Team Group presented the award on Sept. 22nd at the 12th Annual Data Management Summit in New York. The A-Team Group recognizes leading data management solutions, services, and consultancy providers to the capital markets. The A-Team's editorial team and Advisory Board determine the winners by considering the depth of involvement in the capital markets, the relevance of a solution or service to a selected award category, and the potential interest of a solution or service to the Data Management Insight community. "At eClerx, we are excited that Robowork has won the Data Management Insight Awards 2022," said eClerx Global Head of Technology Sanjay Kukreja. "Roboworx is our leading RPA and Intelligent Automation platform and has been adopted by a number of our clients to deliver intelligent automation in their processes. It is an award-winning platform that has won a number of accolades across the globe for its use cases and adoption."

The financial industry produces enormous amounts of data. Deep insights in this data are analyzed with machine learning as it interacts with the trading operations and uses sophisticated algorithms to generate trading choices quickly. FREMONT, CA: The swift adoption of artificial Intelligence (AI) by capital market organizations indicates its responsible approach to a safe, effective, efficient, and transparent deployment of models. AI is the newest concept in the financial markets. The international securities markets are changing from art to science with artificial intelligence.

"Alexa, buy a stock that has the best chance of going up between 1% and 3% today." Could the complexity of financial research ever become this simple? New developments in artificial intelligence (AI) and machine learning (ML) are disrupting the underwriting process, portfolio composition, robo-advising, research and virtually every corner of fintech. Someday, you'll have reliable AI that can analyze your specific investing style, alert you as to where opportunities lay hidden and offer you hard-hitting analyses to stay informed. This is vital because sound financial systems underpin economic growth and development, and they're the engine behind the civilized world in advancing shared prosperity and reducing class inequality.

To understand the application of Artificial Intelligence in capital markets, we must first dive into the definition of Artificial Intelligence. Artificial Intelligence is intelligence developed inside the machines with the use of huge datasets and training models with the help of which, the machine in return, helps find out hidden patterns and gives predictions based upon the inference. Artificial Intelligence is a valuable tool with the help of which manual labor as well time could be saved and if applied correctly, can provide exceptional results. What drives the price of an asset? Irrespective of the market, be it a capital market, commodity market, or forex market, the factors that determine the prices are common to all.

Almost every facet of life nowadays is aided by technology. Artificial intelligence is the latest technology's visual candy. AI is a method of employing machine learning techniques to smartly automate particular jobs. Although the original goal was to make machines as clever as humans, it appears that intelligent automation (IA) is being used instead of artificial intelligence (AI). The banking business was regarded as an out-of-date industry that was late in adopting technological improvements.

"Alexa, buy a stock that has the best chance of going up between 1% and 3% today." Could the complexity of financial research ever become this simple? New developments in artificial intelligence (AI) and machine learning (ML) are disrupting the underwriting process, portfolio composition, robo-advising, research and virtually every corner of fintech. Someday, you'll have reliable AI that can analyze your specific investing style, alert you as to where opportunities lay hidden and offer you hard-hitting analyses to stay informed. This is vital because sound financial systems underpin economic growth and development, and they're the engine behind the civilized world in advancing shared prosperity and reducing class inequality.