The Anti-Fraud Technology Benchmarking Report assessed data from more than 1000 ACFE members regarding their organizations’ use of tech to fight fraud, discovering that while only 13% of businesses currently use AI and machine learning to detect/deter fraudulent activity, another 25% plan to do so in the next year or two.
Other key findings discovered that 26% of organizations are using biometrics as part of their anti-fraud programs, with another 16% expecting to deploy biometrics by 2021, while more than half of respondents (55%) plan to increase their anti-fraud tech budgets over the next two years.
“As criminals find new ways to exploit technology to commit schemes and target victims, anti-fraud professionals must likewise adopt more advanced technologies to stop them,” said Bruce Dorris, JD, CFE, CPA, president and CEO of the ACFE.
Hosted by a different member each year, the meeting of the Global Standards Collaboration, GSC-22, was jointly organized by ISO and the IEC (International Electrotechnical Commission). The two-day event attracted participants from around the world, with notable representation from those countries where information communication technology (ICT) is set to play an increasingly strong role in the economy.
Standardization is essential to artificial intelligence – its future and its wide adoption across the world
The first day was dedicated to innovative presentations and lively panel discussions on the theme of smart sustainable cities. GSC members shared their views on standards relevant to cities that face substantial challenges in choosing suitable standards for their requirements.
Recognizing the fast pace of technological evolution combined with rapidly growing populations, members encouraged continued discussion, particularly on the development of guidelines and standards to enable seamless data exchange and interoperability.
From the advent of the Internet to what is now known as the Fourth Industrial Revolution, the latest cutting-edge technologies – among them robotics, artificial intelligence (AI), the Internet of Things – are fundamentally changing how we live, work and relate to each other.
ISO 27501:2019, The human-centred organization – Guidance for managers, can help organizations to meet these challenges.
The issue for business in this new era is not so much about the bottom line, or even just corporate social responsibility, it is also about taking a human-centred approach to the future of work and finding the right tools to ensure that organizations are successful and sustainable.
The likes of AI are presenting a great opportunity to help everyone – leaders, policy makers and people from all income groups and countries – to lead more enriching and rewarding lives, but they are also posing challenges for how to harness these technologies to create an inclusive, human-centred future.
The Fourth Industrial Revolution is expected to create up to USD 3.7 trillion in value by 2025, according to the 2018 World Economic Forum/McKinsey & Company white paper.
Contrary to some negative perceptions, countries and companies have an opportunity to counter and potentially reverse the slowdown in productivity by diffusing and adopting technology at scale.
The November/December 2018 issue of ISOfocus examines how government, businesses and societies will navigate the increasing integration of technologies into business and production processes. Among the experts interviewed are faculty, companies, small business leaders and standards professionals from around the world, in fields ranging from robots to industrial data to artificial intelligence.
The latest ISOfocus issue showcases some of the new opportunities for ISO standards by highlighting the industry sectors most likely to benefit.
Read entire article Measuring up to the Fourth Industrial Revolution in the latest ISOfocus | Elizabeth Gasiorowski-Denis | ISO.org
No longer just a fictional theme for far-fetched science fiction movies, artificial intelligence is now very much a day-to-day part of our reality. In factories, in intelligent transportation, even in the medical field, artificial intelligence (AI) is just about everywhere.
But what exactly is artificial intelligence? As AI becomes more ubiquitous, why is there a need for International Standards? And what are some of the topics surrounding its standardization?
A recent report by the McKinsey Global Institute) suggests that investment in artificial intelligence (AI) is growing fast. McKinsey estimates that digital leaders such as Google spent between “USD 20 billion to USD 30 billion on AI in 2016, with 90 % of this allocated to R&D and deployment, and 10 % to AI acquisitions”. According to the International Data Corporation) (IDC), by 2019, 40 % of digital transformation initiatives will deploy some sort of variation of AI and by 2021, 75 % of enterprise applications will use AI, with expenditure growing to an estimated USD 52.2 billion.