Even as detecting cancer early remains key, a Gurugram-based startup PredOmix has developed a novel blood test that can detect about 32 cancers in both men and women, with 98 per cent accuracy. The company's OncoVeryx-F is a patented technology that combines metabolomics (study of small molecules) and Artificial Intelligence (AI) to identify metabolite signatures of multiple cancers in a single test. "Metabolomics is a particularly suitable technique for cancer detection since metabolic reprogramming constitutes one of the hallmarks of cancer cells. By using appropriate big data algorithms, metabolite asignatures' characteristic of cancer can be accurately extracted from the serum metabolome," Dr. Kanury V.S. Rao, Co-Founder & Chief Scientific Officer (CSO), PredOmix, told IANS. The test was first launched in 2022 and identified four major female-specific malignancies in a single blood test: breast, endometrium, cervix, and ovary.

Consumers support artificial intelligence but worry about how businesses use the technology, according to a new survey, with well over half of respondents reporting they have lost trust in organisations due to their use of AI. The data was revealed in Cisco's 2022 Consumer Privacy Survey, an annual global review of consumers' perceptions and behaviours on data privacy. This year's survey highlights the need for further transparency as consumers say their top priority is for organisations to be more transparent on how they use their personal data. Cisco's survey also showed that while consumers are supportive of AI (with 54% willing to share their anonymised data to improve AI products), 65% have lost trust in organisations due to their use of AI. "Organisations need to explain their data practices in simple terms and make them readily available so that customers and users can understand what is going on with their data. It is not just legally required; trust depends on it," says Harvey Jang, Cisco Vice President, Deputy General Counsel and Chief Privacy Officer.

Bill Vaughan once said that, "The price of power is responsibility for the public good". In today's world, artificial intelligence can be termed as a currency--one aspect of which drives innovation and productivity while the other aspect evinces concerns surrounding biases, privacy, replacement of humans by automation and more. The ever growing momentum of these concerns is further proof that the existing guidelines do not address them adequately. However, that gap may be bridged with'Responsible AI' that aims to address these concerns and create solid frameworks on accountability, aiming for interpretability, fairness, safety and privacy. Companies today are adopting a more extensive approach where responsible AI is the foundation of corporate social responsibility (CSR).

Large, monolithic datacentres at the heart of enterprises could give way to hundreds or thousands of smaller data stores and devices, each with their own storage capacity. This driver for this is organisations moving their processes to the business "edge". Edge computing is no longer simply about putting some local storage into a remote or branch office (ROBO). Rather, it is being driven by the internet of things (IoT), smart devices and sensors, and technologies such as autonomous cars. All these technologies increasingly need their own local edge data storage.

In recent years, many in the business world have seen a rise in the use of artificial intelligence (AI), from chatbots to image recognition and financial fraud detection. Gartner has predicted that AI software will reach $62 billion in 2022 alone, an increase of 21.3% from 2021. And there are huge potentials for AI in the UK, with predictions that it could deliver a 22% boost to the UK economy by 2030. With such an increase in the use of AI, it was only a matter of time before the regulation was tightened (and rightly so) to ensure businesses and consumers remained protected. Recently, the UK Government shared a new rulebook for AI innovation to boost public trust in the technology.

Contact centres for financial institutions have traditionally been a core touch point for customers to access various types of immediate support – from queries to complaints to fraud alerting. Today their role hasn't necessarily changed. However, the value organisations place on them certainly has. The focus is shifting from fitting customers around business processes to reshaping contact centres around customers' needs. For years, the role of contact centres was limited – often confined by traditional 9-5 working hours. It was predominantly aimed at driving down costs and improving efficiencies.

But, as entire economies become more data-driven, with government-enforced tax controls demanding increasingly granular levels of transactional information, there is a growing need for analytics solutions capable of handling this data, securely and at scale. Fortunately, innovations such as artificial intelligence (AI) and machine learning mean that businesses are able to scale up their analysis like never before to ensure the right data is presented in the right format for the right audience. Tax reporting is becoming more complicated as different countries have different requirements. With increasingly strict penalties for non-compliance, businesses everywhere need to consider their analytics capabilities if they hope to keep up. In an effort to close their respective country's VAT gap, tax authorities across the world are using every tool at their disposal to collect all revenue owed to them. Real-time VAT reporting, for example, is growing in popularity, with many tax authorities employing continuous transaction controls – such as electronic invoicing and audit reporting – to insert themselves ever closer to companies' transactions.

The deployment of increasingly smarter chatbots, AI-powered virtual assistants and conversational AI technology has enabled organizations to increase customer engagement, save resources by efficiently scaling their customer-facing operations, and ultimately make their customers and end users more satisfied. But now, with ever-smarter and more context-aware chatbots, advancements in fields such as predictive analytics and speech recognition, and the integration of these technologies into end-users' devices, we witness how data scientists, engineers, and AI entrepreneurs are taking things to the next level. The trends considered in this article are based on the insights provided by the conversational AI leaders and innovators who have thus far participated in our conversational AI interviews. For each trend, we discuss the impact and opportunities for businesses to leverage the next generation of conversational AI. We invite NLP and Conversational AI innovators to participate in the survey to be featured in our upcoming article "Inspiring People in Conversational AI to Follow in 2020".

Your stakeholders, including board members, customers, and regulators, will have many questions about your organisation's use of AI and data, from how it's developed to how it's governed. You not only need to be ready to provide the answers, you must also demonstrate ongoing governance and regulatory compliance. Our Responsible AI Toolkit is a suite of customizable frameworks, tools and processes designed to help you harness the power of AI in an ethical and responsible manner - from strategy through execution. With the Responsible AI toolkit, we'll tailor our solutions to address your organisation's unique business requirements and AI maturity.

Robots could bring about a four-day working week in Britain as automation and artificial intelligence increase workplace efficiency, a new study has revealed. If new technologies were passed on to staff, they would be able to generate their current weekly economic output in just four days. Even relatively modest gains from using robots and AI had the potential to give British workers Scandinavian levels of leisure time, according to research done by the cross-party Social Market Foundation (SMF) thinktank. The research will boost John McDonnell's plans to reduce hours in the working week The conclusions of the study will come as a boost to John McDonnell, the shadow chancellor, who wants to look at reducing hours in the working week. TUC general secretary Frances O'Grady used her speech to the organisation's annual gathering last month to call for a four-day working week, saying that it should be achievable by the end of the century.