Artificial Intelligence (AI) is fast becoming a mainstay in our business operations. In fact, according to IDC, over the next three years, governments and businesses around the world will invest more than AU$723 billion in AI. Meanwhile, AI technology is projected to be integrated into 90% of the most cutting-edge enterprise applications by 2025. Already, it's beginning to transform everyday life. While it's undoubtedly an exciting time to be alive with all these technological advancements, it's vital to keep a pulse on the human component of technology, ensuring everyone benefits.

Candor Technology announced that it has created the first-ever automated underwriting engine for Loan Quality Services (LQS), further helping clients transform their business models for the twenty-first century. "Candor is dedicated to finding new and innovative ways to leverage technology to enhance the lending process" Candor is offering lenders its Loan Quality Services for just $75 per loan file, enabling them to adapt to current market conditions while still offering borrowers best-in-class service. Candor's LQS addresses many pressing concerns such as QA's impact to fallout, QC impact to loan profitability, leakage of recurring defects from QA to QC, and originator's quality ranking with investors. Candor's LQS gives client members access to automation of numerous capabilities, including primary source document and data validation; thorough re-underwrite of income and asset; application of guidelines and overlays; defect identification and resolution; and reporting and repurchase defense data. AI News: An Investment Into Artificial Intelligence as Daktela Buys Coworkers.ai

Over the past two years, there has been a heated debate on the future of work and its effect on businesses with exponential advancements in technology and artificial intelligence (AI). Many companies shut down as governments enforced the WHO protocols, lockdowns, cessation of movements and curfews. The Covid-19 pandemic has been detrimental to the financial economy. As the economy starts to open up again, the biggest question many are pondering is, "how do we navigate from this point?" The majority of people are now required to work from home due to the pandemic.

Technology hasn't yet played the role many expected it would in helping to prevent suicides. But leveraging digital health and machine learning in three areas believed to contribute to suicide deaths could go far in helping save people's lives, says a "Viewpoint" column published in JAMA Psychiatry. The AMA is spearheading initiatives that put physicians at the center of digital health innovation. See how you can get involved. "The current, limited technological advances in suicide prevention do not reflect a failure of technology or big data, but rather a need to realign research aims and clinical use with prevention research that address the upstream suicide risk that precedes suicide crisis," wrote psychiatrist John Torous, MD, and clinical psychologist Rheeda Walker, PhD.

The world of healthcare has notoriously been described as "broken" -- plagued with high-friction workflows, sky-high costs and convoluted business models. Over the past several years, a long list of innovative startups and salivating venture investors have pinned their focus on repairing the healthcare industry, but its digital transformation still appears to be in the very early innings. After a record-setting 2018, however, digital health investing continued to reach meteoric heights in 2019. Mammoth pools of capital have flooded into various sub-verticals and business models, backing collections of new B2B and B2C companies focused on optimizing healthcare workflows, improving healthcare access and offering lower-cost distribution models. Over the past two years, digital health startups have raised well over $10 billion in funding across nearly 1,000 deals, according to data from Pitchbook and Crunchbase.

The digital age has brought with it an unparalleled opportunity for progress, greater connectivity and efficiency. However, where there is opportunity there is also criminality. Fraud has become truly globalised, with the internet serving as its most lucrative vector. While a great deal of fraud is still committed by opportunistic lone operators, there is a growing contingent of organised, well-resourced outfits able to use the latest technologies to scam their victims. Indeed, between 31 per cent and 45 per cent of UK frauds are linked to organised crime groups (OCGs).

In the world of commercial real estate, every activity involves data – spreadsheets with hundreds and even thousands of lines of information. But more often than not, this data is disordered and chaotic. CRE professionals are now beginning to leverage technology to clean up that messy data, a task which is a top challenge facing analysts today. The aggregation and pre-processing of data, commonly referred to as'data wrangling', accounts for 80 to 90% of any data analytics projects. It's a time consuming and expensive problem, and technology companies are racing to develop an innovative solution.

Until recently, insurance has been a virtual island in a sea of technological change. While innovators began disrupting banking and wealth management during the FinTech boom, which preceded the financial crash in 2008 -- not to mention also completely transforming the music, travel, taxis and booking industries -- insurance was happy to maintain its centuries-old business model, whilst also maintaining its aversion to deploying new technology. And for a trade built on its ability to quantify and price risks, it was startling to see just how unprepared the insurance industry seemed to be against technological disruption. However, since the turn of 2017 and throughout the course of last year, there seems to have been a new-found urgency to embrace the industry's digitalisation, adopting higher-impact technological capabilities aimed at enhancing underwriting, improving claims and augmenting customer experience. Such urgency can be attributed to the colossal boom in investment into InsurTech over the last 12 months. A recent report by Accenture, found that during the first half of 2017, £218 million had already been invested into UK InsurTech alone -- twice the level of investment into InsurTech across the rest of the European Union.

While walking through the streets of San Francisco, CEO of Synapse AI -- Dan Gailey -- recorded his thoughts on where we've been, where we're at, and where we're headed. Hi this is Dan Gailey, and I'm going to talk to you about AI Economies. Okay maybe we should start a little back before this with some assumptions, right? We start off with a couple of questions, on a couple of functions. Couple of questions… let's start with the functions.

Don't miss Talent Management Asia, HR strategy conference – top HR management issues solved with cutting edge techniques from respected HR leaders. When you joined Teledirect Telecommerce early this year, your mandate was to focus on leveraging technology, AI and data analytics for the HR function. What was the biggest challenge you wanted to overcome through this? With the changing nature of the business environment we recognised that we need to not just be ahead of the curve but to try and create the future ourselves. We believed if we did not take the lead in leveraging technology, data and machine intelligence we would be unable to retain our competitive edge in the market place and be unable to deliver the high-quality levels that our clients are accustomed to from us.