Shopping centre owner Hammerson is utilising its CCTV cameras for more than just security, as it looks to better manage its space and support business growth for its tenants and itself. Working with Deepnorth – a company that says it provides artificial intelligence (AI) for a physical world – the property group is tracking anonymised footfall and counting people going in and out of particular zones. The aim is to gain deeper insights into flow and traffic numbers around its centres, using AI-enabled technology that grows in sophistication the more it is used. The group said in July that it had started a trial at Westquay shopping centre to monitor customer behaviour, but Kathyrn Malloch, head of customer experience at Hammerson, has provided Essential Retail with more details. Against the backdrop of some high-profile controversial deployments of facial recognition systems in the UK, she points out Hammerson's decision not to use such technology despite its availability.

It is important to distinguish prediction and classification. In many decision-making contexts, classification represents a premature decision, because classification combines prediction and decision making and usurps the decision maker in specifying costs of wrong decisions. The classification rule must be reformulated if costs/utilities or sampling criteria change. Predictions are separate from decisions and can be used by any decision maker. Classification is best used with non-stochastic/deterministic outcomes that occur frequently, and not when two individuals with identical inputs can easily have different outcomes.

A new viral tool that uses artificial intelligence to label people's selfies is demonstrating just how weird and biased AI can be. The ImageNet Roulette site was shared widely on Twitter on Monday, and was created by AI Now Institute cofounder Kate Crawford and artist Trevor Paglen. The pair are examining the dangers of using datasets with ingrained biases -- such as racial bias -- to train AI. ImageNet Roulette's AI was trained on ImageNet, a database compiled in 2009 of 14 million labelled images. ImageNet is one of the most important and comprehensive training datasets in the field of artificial intelligence, in part because it's free and available to anyone.

You are the average of the five people you spend the most time with. Surrounding yourself with the right people, and joining peer groups like Strategic Coach, Genius Network, Vistage, or the Entrepreneurs' Organization is vital to your growth. They bring together brilliant minds and industry transformers together in forums focused on innovation, creative disruption, and possibility. Peer groups help you set (and raise) standards. They help bring new capabilities, but also new possibilities, new found energies and a reconnection to your purpose, mission, and values.

SS&C Technologies Holdings, Inc. (Nasdaq: SSNC) today announced the results of its study detailing innovative technology adoption by investment operations and accounting users in the insurance sector. SS&C's "2019 Insurance Asset Management Technology Outlook" revealed that three quarters of insurance asset managers surveyed are actively deploying or considering deploying innovative technologies such as Robotic Process Automation (RPA), Machine Learning (ML) and Artificial Intelligence (AI). Within this group, 38 percent are using third-party disruptive applications in conjunction with existing investment systems, while another 37 percent are considering using these technologies in the future for recoded or new systems. "Insurance firms are relying more on bank data without their own independent calculation, reconciliation and valuation. Key internal control functions, particularly, independently reconciling positions and cash, are enhanced by artificial intelligence, machine learning and robotic process automation," said Christy Bremner, Senior Vice President and General Manager, SS&C Institutional and Investment Management.

The benefits of AI in the health care spectrum are truly life-changing… and quite literally saving lives. Finally, some non-scary artificial intelligence (AI) news that won't scare the living bejeezus out of you: artificial intelligence has proven to be a key feather in the transformative cap of health care We are benefitted by AI when it can trumpet the need for preventative interventions by predicting such health threats as catching type 1 diabetes and helping predict breast cancer, along with its role in automated operations and precision surgery. Yes, the benefits of AI in the health care spectrum are truly life-changing… and quite literally saving lives. Researchers at MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL) are using machine learning to estimate the risk of cardiovascular death. The system, RiskCardio, focuses on patients who have survived an acute coronary syndrome (ACS) and can better predict the risk of death caused by cardiovascular issues that block or reduce blood flow.

The Telangana government has decided to declare 2020 as Artificial Intelligence year by organising various activities related to the emerging technology, Jayesh Ranjan, principal secretary, IT and Industries said here on Wednesday. "The year 2020 is going to be celebrated in Telangana as AI year. And throughout the year, we will be running multiple programs and activities. A lot of hackathons and meetings will happen and the government agencies will give challenges and make available data sets on which you (companies) can run algorithms," he said speaking at a programme. Ranjan said the state government has signed up with NITI Aayog, which has come out with the'National Strategy forArtificial Intelligence' to run pilot projects in Telangana.

Interest in artificial intelligence is on the rise in Egypt as enterprises embrace emerging technology to expand into new markets, investors back AI startups and government initiatives support education and awareness of the technology. There is mounting evidence that private enterprise is embracing AI. Recently, for example, AI and anlytics vendor fonYou partnered with a mobile operator in Egypt to use its AI module to reach the unbanked, and Widebot just raised a six-figure (USD) Pre-Series A investment for its Arabic language chatbot. Meanwhile, the government is looking to develop AI capabilities in a number of ways, including launching its first AI faculty at Kafr El Sheikh University. Egypt is aiming to have 7.7 percent of its GDP derived through AI by 2030, a figure touted in the PricewaterhouseCoopers (PwC) report, The Potential Impact of AI in the Middle East.

Sometimes, you can't see what's right in front of you. This is doubly true if what's in front of you is terabytes of data; the hundreds of thousands of text messages, images, videos, and phone records that constitute just a fraction of the evidence in a criminal investigation. Law enforcement agencies the world over are faced with this exact scenario--enormous amounts of data isolated in siloed systems. Sorting through information in search of relevant insights, the type of leads that could crack a case is often a tedious, manual process. That's where AI solutions based in Microsoft Azure can help.

Recent surveys, studies, forecasts and other quantitative assessments of the impact and progress of AI highlighted the strong state of AI surveillance worldwide, the lack of adherence to common privacy principles in companies' data privacy statement, the growing adoption of AI by global businesses, and the perception of AI as a major risk by institutional investors. Using just the first fifteen minutes of a patient's raw electrocardiogram (ECG) signal, the tool produces a score that places patients into different risk categories. Patients in the top quartile were nearly seven times more likely to die of cardiovascular death when compared to the low-risk group in the bottom quartile. U.S. AI and machine learning startups raised $6.62 billion so far in 2019, and international startups raised $6.79 in the same period. The global total for all of 2018 was $19.5 billion [Crunchbase News] The North America AI chip market is estimated to reach $30.62 billion in 2027, up from $2.5 billion in 2018 [ResearchAndMarkets] The Asia Pacific AI chip market is estimated to reach $22.27 billion in 2027, up from $1.03 billion in 2018 [ResearchAndMarkets] "An AI-equipped surveillance camera would be not a mere recording device, but could be made into something closer to an automated police officer"--Edward Snowden "When you get into the millions, you can really start to generate the levels at which humans stop understanding the correlations, and the machines start to understand the correlations"--Ricky Knox, co-founder and CEO, Tandem Bank "As AI gets better at performing the routine tasks traditionally done by humans, only the hardest ones will be left for us to do. But wrestling with only difficult decisions all day long is stressful and unpleasant"--Fred Benenson, former vice president of data, Kickstarter "AI can do things previously unimaginable with the volume, velocity, variety and veracity of big data. It can deliver an edge given the information intensity of all of the processes in asset management"--Amin Rajan, CEO, Create-Research "By 2025, a quarter of all miles driven will be driven by on-demand services"--Amy Wyron, vice president of business solutions, Gett