The world has undergone a sea of change and it has accelerated digitization across sectors and scale. Enterprises have embraced emerging technologies to meet the demands of this ever-changing situation, stay agile and quickly reinvent themselves. The explosion in demand for streaming video that accompanied the COVID-19 pandemic has more than ever highlighted the need for video service providers to respond quickly to shifts in the market. Unfortunately, there are scammers out there who will use remote tools maliciously. As IT departments transition to becoming virtual helpdesks, some of the biggest challenges they face is around security. Trust is an important aspect of security, which is why Rescue is designed so that you can make the product your own.
At this changing time, automation technologies are becoming woven throughout the fabric of virtually every company, raising the question of IT’s role in governing such capabilities. CIOs can and should provide guardrails to make sure automation technologies run properly – if the business will only let them. Most business lines procure technologies for their teams with involvement from IT. Some IT leaders welcome such independence, while others view it as a slippery slope that courts risk. Regardless, the democratization of technology services enabled by machine learning (ML), artificial intelligence (AI), robotic process automation (RPA) and low-code/no-code solutions is growing more ubiquitous across business lines. And it appears here to stay.
CIOs are on the hook for governance as automation rises with business leaders increasingly pushing for automation. There is high level of automation and machine learning based software comes with the bots to automate routine business processes. At the same time, there is hidden risks of IT automation. Automation is increasingly seen as a key IT strategy for competitive advantage, but pitfalls await those who fail to heed precautions.
Organizations today are nonplussed on the implementation of new technologies and their success rate. For us the most important drivers shall be focussing on big data and block chain, while cyber security remains a bigger concern. To stay in the business, it is very important to be efficient and effective. Data analytics shall serve as a bigger business competency. Systems have to be transparent and the visibility of the products provenance shall be justified through block chain. Robotics is also playing on our minds which shall create huge business opportunities through automation. Business coupled using Artificial Intelligence to augment an increasing number of roles and independently manage and execute evermore complex and emotionally human-like tasks.
Our bigger task is cyber security and resolving the “human factor” will be our top priority. Most of the data breaches are caused by human error and hence we are working on solving people problems, to protect the data and systems. One of the ways to combat this is through “Machine learning, which can analyse data, spot patterns, identify potential threats and warn users in real time, shall prove invaluable in preventing cyber-attacks. There are two possible definitions. Either a company can invest in R&D that replaces an older generation of technology—the “breakthrough” approach—or it can focus on combining existing technologies into hybrid technologies—the “technology fusion” approach.
Lastly, the coronavirus pandemic has virtually made us WFH (Work from Home). Trillions of bytes of data are churned out on a day to day basis. From business and economy perspective cyber security shall become a game changer with more businesses now succumbing to cyber threats.
