Hewlett Packard Enterprise (HPE) has announced advancements to HPE SimpliVity, the company's flagship hyperconverged infrastructure (HCI) platform, ushering in a new generation of HCI powered with artificial intelligence to simplify virtual machine (VM) management and free IT staff to focus on innovation. Building upon its software-defined architecture, HPE SimpliVity is enhancing its customer experience with HPE InfoSight, one-click cluster upgrades, and the integration of HPE StoreOnce. Today's enterprises are under relentless pressure to streamline operations and accelerate innovation, but in order to achieve this agility, they require an intelligent underlying architecture for virtualized environments that automatically speeds time to market and eliminates complexity. While HCI inherently accelerates service delivery and resource efficiency, traditional HCI offerings still require IT to react to unexpected disruptions and application delays, and make tradeoffs as enterprises scale their environments. HPE SimpliVity goes beyond software-defined, ushering in AI-driven infrastructure, infusing artificial intelligence to transform IT operations by predicting and preventing issues.

Several factors appear to be limiting growth and profitability for real estate institutional investors. Faced with higher risks and competition, commercial real estate (CRE) investors posted negative average annual returns in 2018, both globally (-5.6 percent) and in the United States (-4.1 percent).1 In comparison, average annual returns were 6.4 percent and 6.9 percent globally and in the United States, respectively, during the 2014 –2017 period.2 Deloitte's 2018 Global Real Estate Institutional Investor survey of 500 global institutional investors seems to show respondents remain committed to CRE as an asset class: 97 percent of the respondents plan to increase their capital commitment through 2019. However, their investment decisions are likely to be challenged by geographic market, tenant, and financing/interest rate risks (see figure 1).

In August we were thrilled to announce a £250 million investment in Artificial Intelligence (AI) applications for health and care through the creation of the NHS AI Lab. We hope that over time this investment will enable health and care providers to benefit from the very best data-driven technology and help us achieve our goals for technology use in the NHS and in the care system. However, we also believe that people have the right to know why we think this is a worthwhile investment and how we think AI might help us achieve these goals. "Artificial Intelligence: How to get it right. The report is intended to provide a cohesive overview of the current state of play of data-driven technologies within the health and care system.

Just watching was a feat of endurance. The 2019 men's final at Wimbledon lasted four hours and 57 minutes, making it the longest on record at the All England Club. Roger Federer and Novak Djokovic seemed to be perfectly matched, until they weren't. In the end, Djokovic prevailed, and fans were left to debate what allowed the Serbian great to finally notch the win. They would probably be surprised to learn that some of Djokovic's advantage could have come from artificial intelligence, which he incorporated in his game for the first time during this year's Wimbledon.

Banks love to brag about how many data scientists they're hiring and their shiny machine-learning "centers of excellence." In the 2018 JP Morgan Chase annual report, CEO Jamie Dimon said the company had gone "all in" on artificial Intelligence, adding that Artificial Intelligence and machine learning were "being deployed across virtually everything we do." Not to be outdone, HSBC has opened multiple "data and innovation labs" around the world, in order to build Artificial Intelligence tools that can take in the bank's more than 10 petabytes of data. Citigroup, Bank of America, and Capital One also boast about their artificial intelligence capabilities, particularly to their would-be investors. Of course, some of this is hype: Banks believe they can get a certain brand patina from looking and acting like tech companies. But as Oxford technologist Nick Bostrom points out, artificial intelligence technology has the potential go from staggeringly dumb to effectively omniscient rather quickly.

The new TLM Cash and Liquidity Management, AI and machine learning module is an important development for any financial institution with a treasury department, with its ability to predict when credit is going to arrive; giving the treasurer more control over cash-flows. The proprietary algorithm uses the data and predicts the forecasted settlement time of receipts on an intraday basis. The core of the module is underpinned by sophisticated machine learning technology that continuously improves, meaning the predictions become more accurate and treasurers can make more informed decisions. Nadeem Shamim, Head of Cash & Liquidity Management, SmartStream, says: "Things are going to get tighter in terms of managing liquidity. Collateral is expensive, capital is expensive and there is currently a big drive to reduce excessive use of capital – this is an area where AI and predictive analytics can manage liquidity buffers more efficiently and that can result in significant savings".

New Delhi [India], Oct 31 (ANI): Chief Justice of India (CJI) designate, Sharad Arvind Bobde, on Thursday advocated the usage of high-end technology including Artificial Intelligence (AI) in courts. Speaking to ANI here, Justice Bobde, who will become the 47th Chief Justice of India, stated that the justice delivery system is "good" in the country and may require the use of minor changes including the use of technology. "Justice delivery system is good, it might require some minor changes, including the use of technology like artificial intelligence. It's a good system, you need to use some other things," Justice Bobde told ANI. The CJI designate also said that some long and short term measures need to be introduced to make the justice delivery system better. "There are long term measures and short term measures.

NHSX has published its first State of the nation report, which covers the breadth of development ongoing in artificial intelligence (AI) in healthcare. The report is the result of the investigations carried out by the health service digital unit into how AI is being developed in the NHS and the challenges developers face, as well as the greatest opportunities and risks associated with the technology. According to the NHSX, the report Artificial intelligence: how to get it right is intended to explain to people why the government thinks AI is a worthwhile investment and how it will improve healthcare provision. As people get improved access to their own data, they will engage more in their own health, according to the report. Personalised medicine and predictive prevention will accelerate, it added, through greater access to clinical, genomic, phenotypic, behavioural and environmental datasets.

The emergence of New Professions 6. Coding and Data Analysis Will Be Universal 7. Being Human Will Be a Skill 8. Automated Business Process 9. Rapid Innovation 10. Love it or loathe it, Artificial Intelligence (AI), which is the broader concept of machines being able to carry out tasks in a considered "smarter" way is here to stay. Machine Learning (ML), which is a current application of AI based around the idea that we should be able to give machines access to data and let them learn so that they can get on with tasks themselves with little or no human intervention. When we highlight these 10 ways Artificial Intelligence will change your career, it will be obvious that AI is no longer a thing of Sci-Fi novels, and films, it is real and advancing rapidly. It has sipped into our day to day transactional tasks.