It seems like we can’t escape the burden of uncertainty. From the countless things we were uncertain about during the Covid-19 pandemic to the current state of the economy, financial circumstances and trends, and fear of unemployment. For many of today’s businesses of all sizes, predicting the future might appear nearly impossible. IT teams at the start of the pandemic in 2020 shifted without notice to supporting remote employees.

The rollout of new technology can come with hesitation and even fear, and generative AI is no different. The New York Times in February 2023 dubbed the popularity of ChatGPT a “phenomenon” that started an AI arms race – one that wasn’t exactly welcomed by news writers, marketing agencies, or business leaders.

Implementing a Cognitive Network Operations Center (Cognitive NOC) comes with its fair share of challenges, but businesses must be able to rely on technology to operate and grow, making network performance, reliability, and security top priorities.

Generative Artificial Intelligence (AI) is commanding conversations these days, a never-before-seen system that’s captured many millions of users since its debut in November 2022. A machine learning innovation that creates content of all kinds (and that’s just the beginning), generative AI also comes up with new product designs and optimizes business processes. We have only begun to exploit and understand this disruption.

Seamless shopping experiences, along with superior customer service and overall customer satisfaction keep the retail world running and serve as the foundations for business growth. Behind the scenes, IT teams are working on incident response and operational efficiency, which brings things full circle for retail companies.

Thanks to the economic downturn and rising interest rates, leading financial industry stalwarts such as Accenture, BlackRock, BNY Mellon, Goldman Sachs, and PayPal have already laid off hundreds or thousands of employees. And these are just the big names; banks, credit unions, insurers, and private equity firms of all sizes worldwide are carefully reviewing their headcount and trimming their workforce in order to stay competitive.

Last month, the Singapore bank DBS experienced a 10-hour outage of its digital services. Not only was it massively disruptive to customers, but it caused the bank’s stock to lose 1.4% of its value in a single day. And it’s not the first time DBS has had to deal with the fallout of an IT snafu; in November 2021, Singapore’s finance regulatory body imposed significant additional capital requirements on the bank after its digital banking services were disrupted for two days.

Navigating the fast-paced, highly competitive telecommunications industry calls for a proactive approach to stay ahead of the curve. As customer expectations soar and technological advancements continue to shape the sector, telcos must embrace IT automation to remain relevant. Delving into 5 top use cases for IT automation in the telco industry, let’s uncover the key drivers that empower businesses to thrive in today's market and be well-prepared for the demands of the future.

The unexpected collapse of Silicon Valley Bank (SVB) in March served as a wake-up call for financial institutions, depositors, shareholders, and regulators alike. If a seemingly-solid bank like SVB can go under almost overnight, everyone has begun to wonder if any financial institution is safe, with banks and regulators worldwide analyzing the continued risk to the entire banking system.

Too many IT tickets, not enough time. That’s just one problem that comes with a poor employee onboarding experience, and it’s one that causes deal-breaking difficulties for new employees, and just as importantly, IT leaders in the IT service management (ITSM) department. Ninety-three percent of employers said that a good onboarding experience is critical for retention of new employees, according to market share data from Finances Online. The total cost of voluntary turnover in 2020?