43% of enterprises say their AI and Machine Learning (ML) initiatives matter “more than we thought,” with one in four saying AI and ML should have been their top priority sooner.
50% of enterprises plan to spend more on AI and ML this year, with 20% saying they will be significantly increasing their budgets.
Security has always been a critical part of society.
When the human race moved from being hunters to farmers, certain information about when to plant crops and when to harvest was carefully gathered though observation and experience. This knowledge would help farmers work out exactly when to plant their crops, so that the first shoots would only appear above ground after the last morning frosts, ensuring the plants would be healthy. And knowing when the crops would have absorbed maximum energy and be primed for harvesting is critical, harvest too early and the harvest is weak, wait too long and the crops won’t store well through the winter seasons or survive transport.
Artificial intelligence (AI) has been around since the 1950s, but only in the last six years — with the advent of open-source, low-cost cloud compute and storage — has it become useful in solving real-world problems. In that short time, we’ve seen AI find new solutions in enterprise networking, automotive, medical and other industries. This has resulted in artificial intelligence for IT operations (AIOps) moving from marketing hype to a useful tool being adopted across the enterprise.
Over the past few years, some Original Equipment Manufacturers (OEMs) have begun using the Industrial IoT (IIoT) to deploy remote monitoring, predictive maintenance, equipment-as-a-service (EaaS), and other types of new Industry 4.0 applications. These applications have allowed these companies to converge their industrial equipment’s OT systems with their IT systems, creating “smart” air compressors, bio-waste collectors, liquid fertilizer storage tanks, energy storage systems, and other types of industrial equipment.
The pandemic has changed the way we work. Remote working or work from home has become a new normal. Approximately 88 per cent of businesses have asked their employees to work from home. Apparently this normal does not seem to be changing in the near future. This unprecedented pandemic has forced businesses to adapt to this new normal.
In the wake of the economic downturn brought on by the Covid-19 pandemic, investments in digital business transformation have accelerated. The applications that drive those processes are not only highly distributed, they also operate at a level of scale that no IT team can manage using legacy approaches to managing IT. It can take weeks to discover the root cause of any issue.
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