The first phase of the Paycheck Protection Program (PPP) has wrapped up and the numbers are impressive: more than 5 million loans totaling $525 billion from nearly 5,500 lenders. Any bank that participated will attest that the data processing headaches were just as notable.

From preventative maintenance on white goods to smart mirrors in clothes stores, the IoT is ready to change customer relationships.

This spending is fuelled by high expectations since they aim to drive six per cent of their revenue through voice during this period, it added.

Many of the digital jobs of the future have suffered during the later stages of the pandemic, while in-person health care jobs are on the rise.

Indian companies plan to spend 2.6 per cent of revenues on building voice capability to drive stronger growth in the next five years. They have high expectations for returns as they are aiming to drive 6 per cent of their revenue through voice during the same period.

Indian companies plan to spend 2.6% of their revenues on building voice capabilities in the next five years, a Cognizant survey revealed on Tuesday. This investment strategy is fueled by high expectations for returns, as they are aiming to drive 6% of their revenue through voice during the same period.

With consumers prioritising safety, brands should focus on creating a diverse landscape of online and offline touchpoints.

Blockchain is being used to bring a smart city on the outskirts of Phnom Penh to life. How will its use benefit business? And what are the potential pitfalls?

Mohit Mehta, Vice President and Commercial Leader: Cloud, Infrastructure and Security – Global Growth Markets, at the digital and cloud company Cognizant discusses how IoT devices can balance security requirements with cost and complexity.

There has been a steady stream of transaction tax announcements in the last ten years. High profile Financial Transaction Taxes (FTTs) have been introduced in France and Italy and more specific dividend taxes in the US with 871(m) and 305(c), and Capital Gains Taxes (CGT) introduced globally. As a result, the market has had to wake up to a growing operational challenge on top of those caused by the tide of regulations including MiFID II and EMIR, not to mention planning for the arrival of CSDR.

Earlier on in the COVID-19 pandemic, organisations faced myriad challenges as they sought to reopen office buildings. Temperatures would need to be scanned, density monitored, personnel distances measured, and contacts tracked. In some cases, hand-washing procedures would need enforcing, too.

With the NSW Government releasing its first-ever Artificial Intelligence (AI) Strategy and COVID-19 dramatically increasing the pace of digital transformation and the need for AI to enable that change, many businesses are wondering how to navigate the rapidly evolving technology landscape. Moreover, with AI a clear C-suite imperative, businesses must apply AI solutions in smart, economical, and ethical ways. Most importantly, they need to be human-centric.

Data analytics has been widely used by businesses to manage hardware and software, employee productivity, and IT security during the lockdown period.

There has been a steady stream of transaction taxes introduced globally in the last 10 years that financial houses have yet to fully tackle, including dividend taxes in the U.S. — 871(m) and 305(c) — and capital gains taxes, and the recent announcement of potential financial transaction taxes (FTTs) in New York and New Jersey, alongside new regulations represent a growing operational challenge. The increase in these types of legislative moves indicates an evolving need for global market solutions to address these types of taxes and the nuances involved at a state-by-state level.

Cum-ex is still an “important issue” that banks should be looking at “right now”, despite the European securities watchdog publishing its final report on the matter on September 24, Daniel Carpenter, head of regulation at Meritsoft, a Cognizant company, told Global Investor.

What happens when the world is forced to hit pause? When cities, states, and entire countries come to a screeching standstill?

Why traditional companies are adopting cloud applications in a big way.

Health care and life sciences companies are using artificial and machine intelligence for better insights and improved treatment since the COVID outbreak.

In a matter of years, Software-as-a-Service (SaaS) capabilities have become critical to an organization’s functioning. As the pandemic forces organizations everywhere to accelerate their digital transformation roadmaps, the latest digital technologies such as Cloud, AI/machine learning, and internet of things (IoT) have led to a new wave of innovation with demand for plug-and-play software solutions.

AI driven solutions are becoming a competitive differentiator for banks and other financial services—delivering a highly personalized customer experience, improving decision-making and boosting operational efficiency. Yet, many financial services institutions remain in an experimental phase and will need to accelerate actual AI deployment. Otherwise, they risk being left behind by digitally native players.

Physical workspaces are set to undergo a digital transformation over the coming months. While this trend has been on the cards for some time, few predicted that health and safety would be the prime accelerator towards its adoption.

It’s a fetching time for pet insurers. Potential customers identify as pet parents and grandparents, willing and financially able to take measures unheard of just a decade ago to make their pets live longer and healthier lives, according to industry professionals.

The US-based IT services firm rapidly developed new analytics tools to respond to COVID-19 at various levels of business.

For businesses thinking of adopting AI, it is important to have a clear governance structure on how AI will be used and an ethical policy surrounding its usage.