Articles about Enterprise

Many leaders have been extremely aggressive about their AI strategies this year. However, despite the buzz generated by these technologies, most leaders are still scratching their heads trying to brainstorm real, practical ways to implement AI.

I’ve identified three common questions from leaders about AI for the enterprise and answered them with pragmatic guidance on the steps they can take today to make the most of these innovative technologies.

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AI seems to be everywhere at the moment. But despite the fact that it has become ubiquitous, it isn't all the same.

Steve Benton, VP of threat research for Anomali, talked to us about why not all AI is equal and what businesses need to consider to ensure they get the most from the technology.

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For years, the enterprise has built bespoke networks to connect all company resources. These networks were slow to build, but once built did not change much.

That's changing as networks become more complex and dynamic. Workers are highly distributed, edge computing has grown, most enterprises now connect to multiple clouds, and connecting to partners and customers is increasingly common.

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Numerous businesses have embraced generative AI technology to enhance their operational efficiency, boost productivity and foster innovative ideas.

However, it is important to be aware of the potential legal and financial consequences associated with the use of ChatGPT and similar AI systems. We spoke to Sujay Rao, CPO at Sirion to find out more.

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Open source software has been around for decades, it's thriving, effective and disrupting in the enterprise more than ever.

We talked to, Cédric Gégout, VP product management at Canonical, to discuss the evolution of open source in the enterprise and protecting its fundamentals for continued success.

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Enterprises are major users of technology and it impacts on most areas of their operation. The big challenges in recent years have come from the switch to remote and hybrid working, and new technologies like generative AI.

So what can we expect enterprise IT to face in 2024? Here are some expert views.

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The data lakehouse has captured the imagination of modern enterprises looking to streamline their architectures, reduce cost and assist in the governance of self-service analytics.

From data mesh support to providing a unified access layer for analytics and data modernisation for the hybrid cloud, it offers plenty of business cases, but many organizations are unsure where to start building one.

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Many large enterprises still rely heavily on mainframes to offer a reliable and secure basis for their systems.

But as digital transformation efforts gain pace, developers are eyeing frameworks that can boost their modernization efforts. We spoke to Phil Buckellew, president of infrastructure modernization at Rocket Software, to find out how open source software can bridge the divide between modern applications and mission-critical mainframe infrastructure.

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New research shows that businesses are increasing their investments in AI across many areas, but there are challenges and risks that they need to manage.

The study of 1,300 tech leaders from Dynatrace shows 98 percent are concerned that generative AI could be susceptible to unintentional bias, error, and misinformation. In addition 95 percent are concerned that using generative AI to create code could result in leakage and improper or illegal use of intellectual property.

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As cloud-based enterprises continue to grow, the security threats in the cloud grow with them. Organizations operate in complex, multilayered environments that leave security teams scrambling to protect all of their organization's assets and resources. In fact, they may not even be aware of all of them.

What are the biggest risks they face today? And how can organizations mitigate their vulnerabilities?

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New research into the manufacturing threat landscape from Trustwave finds that just 19 percent of manufacturing industry leaders are confident in their cyber defense mechanisms.

The research documents the attack flow utilized by threat groups, exposing their tactics, techniques, and procedures. From email-borne malware to the exploitation of SMB and DCOM protocols for lateral movement, these persistent threats pose significant risks to the manufacturing sector.

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As cyberattacks continue to evolve so defenses need to change to keep up. In many cases that means adopting AI.

Enterprise networking and security company Cisco is the latest to embrace this with launch of Cisco AI Assistant for Security.

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According to a new report from Digitate 90 percent of IT decision-makers plan to deploy more automation, including AI, in the next 12 months.

Based on a survey of 601 US-based IT decision-makers in organizations with more than 1,000 employees and conducted with Sapio Research, the study finds 26 percent of respondents plan to implement machine-operated tasks that require limited human input or fully transition to autonomous systems in the next five years.

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A new study finds that 36 percent of IT workers are very concerned that generative AI tools will take their jobs in the next five years, this is 17 points higher than for other office workers.

However, the report from Ivanti finds office workers are six times more likely to say that generative AI benefits employers than employees.

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As more and more organizations turn to SaaS and cloud solutions, having a powerful PC as a desktop solution becomes hard to justify, not to mention the support and security issues that come along with it.

Step forward AWS with the launch of the Amazon WorkSpaces Thin Client, aimed at enterprise workers in order to reduce an employer's technology costs and provide enhanced security.

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