digital trust
Maximizing the Potential of AI for Business
Artificial Intelligence is high on the agenda of CEOs in many prominent organizations worldwide. The adoption of AI by business leaders continues apace, and its impact on the bottom line is growing. McKinsey research shows that most firms have adopted artificial intelligence in at least one of their business functions--up from 50 percent in 2020. Moreover, nearly two-thirds of respondents say their companies' investments in AI will continue to increase over the next three years, suggesting we're just in the early stages of the AI revolution. Only 11 percent of the businesses succeeded in bringing AI into the production phase, scaling it within their companies and integrating it into their DNA.
Why digital trust truly matters
The results of our survey of more than 1,300 business leaders and 3,000 consumers globally suggest that establishing trust in products and experiences that leverage AI, digital technologies, and data not only meets consumer expectations but also could promote growth. The research indicates that organizations that are best positioned to build digital trust are also more likely than others to see annual growth rates of at least 10 percent on their top and bottom lines. However, only a small contingent of companies surveyed are set to deliver. The research suggests what these companies are doing differently. A majority of consumers believe that the companies they do business with provide the foundational elements of digital trust, which we define as confidence in an organization to protect consumer data, enact effective cybersecurity, offer trustworthy AI-powered products and services, and provide transparency around AI and data usage.
Preventing document fraud in a world built on digital trust - Help Net Security
All digital markets are built on trust and that trust has been reduced to an algorithm driven by proof of identity, which currently remains heavily reliant on formal documents such as a passport or driving license. Anyone looking to misrepresent who they are, where they live or what they're paid would need their documentation to reflect this false version of their status. Highly automated workflows used by financial services are particularly vulnerable to this type of manipulation. Bank statements that are used to support lending applications, "know your customer" (KYC) procedures and other identity-driven financial purposes worldwide are regularly tampered with. In addition, "know your user" (KYU) processes, which include merchants, fintech companies and the B2B ecosystem, among others, are also subject to fraud.
Council Post: Addressing AI's Biggest Problem: Trust
Subex helps businesses embrace disruptive changes in the business landscape and succeed with digital trust. The popular crime flick Minority Report from 2002 seemed ahead of its time when it portrayed how a computer system could predict when a person is likely to commit a crime, long before they have even thought about it. However, a decade later, the possibilities imagined by the Tom Cruise blockbuster seem real with the emergence of COMPAS, an artificial intelligence (AI) algorithm that can predict how likely a person is to commit a crime again. The software was widely used across the U.S. until 2016, when a detailed investigation highlighted that the program was biased against a particular race. The problem lay not in the AI algorithm itself but in the data that was fed into it.
Why Enterprises Cannot Afford to Ignore AI and Emergent Technology in Their Cybersecurity Strategy
One need not understand the finer details of the Dark Web in order to respect the risk these black markets pose in an increasingly data-centric world. In nearly every aspect of our modern lives, cybersecurity is becoming a necessary part of the conversation. Even novice "hackers" can rent cloud-based botnets and orchestrate DDoS attacks for around $25 per hour according to data released by Kaspersky Labs. Fortunately, the classic adage remains true, even on the Dark Web - you get what you pay for. Low-priced DDoS attacks are easily thwarted by modern network security systems designed to recognize incoming threats and divert resources to squash attacks. Thanks to advancements in Artificial Intelligence (AI) and Machine Learning (ML) in the area of cybersecurity, small businesses and enterprise-level companies can stay focused and maintain a high level of digital trust from their customers while keeping overhead costs in check.
AI is Changing the Game in Digital Trust -- Are You Keeping Up?
Listen to this podcast on iTunes, Soundcloud or wherever you find your favorite content. Does the future of digital trust lie in artificial intelligence (AI)? Join the conversation between Valerie Bradford, product marketing manager at IBM Security, and Andras Cser, vice president and principal analyst serving security and risk professionals at Forrester, to discover how AI is changing the landscape of digital identity. Listen now to discover why organizations are relying on identity trust as the foundation of the digital customer journey and how to stay ahead of evolving fraud attacks. If you enjoyed listening, please consider rating the podcast or leaving your feedback on iTunes.
Blockchain, Bitcoin and Artificial Intelligence 1.0: All you need to know
Blockchain, Bitcoin and Artificial Intelligence may be buzzwords, but it's important for corporates, startups, and individuals to make sense of these technologies of the future. A startup founder comes up and says, "I invested Rs 40,000 in Bitcoin; it has now doubled." Two days later, a friend says, "I want to invest my savings in Bitcoin." This is followed by an engineer, asking: "Will artificial intelligence take away my job?" There is a lot of science fiction in parallel to realities that encompass Blockchain, Bitcoin and Artificial Intelligence.
Blockchain, Bitcoin and Artificial Intelligence 1.0: All you need to know
Blockchain, Bitcoin and Artificial Intelligence may be buzzwords, but it's important for corporates, startups, and individuals to make sense of these technologies of the future. A startup founder comes up and says, "I invested Rs 40,000 in Bitcoin; it has now doubled." Two days later, a friend says, "I want to invest my savings in Bitcoin." This is followed by an engineer, asking: "Will artificial intelligence take away my job?" There is a lot of science fiction in parallel to realities that encompass Blockchain, Bitcoin and Artificial Intelligence. But SBI's Head of Innovation Sudhin Baraokar says it as it is.
IDC Predictions Provide a Blueprint and Key Building Blocks for Becoming a Digital Native Enterprise
FRAMINGHAM, Mass., October 31, 2017 – International Data Corporation (IDC) today announced its worldwide information technology (IT) industry predictions for 2018 and beyond. The predictions were published in a new IDC FutureScape report and presented in a live Web conference hosted by Chief Analyst Frank Gens. IDC has spent the past ten years chronicling the emergence and evolution of the 3rd Platform, built on cloud, mobile, big data/analytics, and social technologies and further enabled by Innovation Accelerators such as the Internet of Things (IoT) and augmented and virtual reality (AR/VR). Over the past several years, IDC has focused on the digital transformation (DX) that enterprises must undergo as they adopt these technologies and the DX economy that is emerging from the innovative use of these technologies. Today, the 3rd Platform story is well into its second chapter and moving into full stride, unleashing "multiplied innovation" through platforms, open innovation ecosystems, massive data sharing and modernization, hyper-agile application deployment technologies, an expanding digital developer population, the blockchain-fueled rise of digital trust, richer artificial intelligence (AI) solutions and services, deeper human/digital interfaces, and a much more diverse cloud services world.
Accenture predicts 5 digital forces to reshape healthcare delivery
Accenture identified five forces that would likely have an impact on the healthcare industry now. These forces, which it said will converge in three to five years, include: intelligent automation; the liquid workforce; the platform economy; predictable disruption; and digital trust. Kaveh Safavi, M.D., J.D., senior managing director of Accenture's health practice, said with these five forces, the health industry will increasingly tap digital technologies to augment human labor, personalize care and free up time to focus on where they are needed most. "The outcome of a people-first, digital health strategy is that it liberates the healthcare workforce to focus on more meaningful work that requires judgment and personal interaction," he said. According to the industry report, "Accenture Digital Health Technology Vision 2016, the health industry will increasingly embrace intelligent automation--powered by artificial intelligence (AI), robotics and augmented reality – to streamline basic tasks, such as collecting patient intake data, enabling clinicians to focus where their training and experience have the greatest value. An Accenture's survey found that roughly seven in 10 health executives are investing more in machine learning and AI-related technologies than they were two years ago. Nearly half of health executives also reported extensive use of automation for IT tasks (48 percent) and customer interactions (47 percent). The future workforce will also be empowered by technology to scale clinical expertise to many patients, from wherever that doctor is working. Accenture said this increasingly liquid workforce will allow health organizations to adjust and adapt to meet today's dynamic demands. As patients expect the on-demand services they enjoy in financial services, entertainment and retail to permeate their health experiences, new options will emerge to tailor interactions and augment care services. The report estimates that by the end of 2019, roughly four in 10 people (42 percent) in the healthcare workforce will be contractors, freelancers or internal temporary positions. The platform economy will likewise use digitally enabled business models to capture new growth opportunities and link patient experiences across the health ecosystem. Accenture estimates that demand for health application programming interfaces (APIs) will grow 10-fold by 2021. Nearly 4 in 10 health executives surveyed (39 percent) believe that these online-based services – such as self-scheduling appointments, accessing records and tracking a patient's activity from hospital to home – are very critical to their business' success. And just as platforms are disrupting traditional care models, Accenture believes predictable disruption will force health executives to expect the unexpected. "To that end, 86 percent of healthcare executives feel pressure to reinvent their businesses before they are overtaken by competitors, or disrupted out of their markets.