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As the GCC countries continue to evolve into global digital hubs, the adoption of technologies such as 5G, AI, and IoT is accelerating rapidly. New technologies like AI and IoT are coming into play,” he said, underscoring how these innovations are driving transformation across sectors. But security must evolve with it.”
To some consumers and businesses, alike it may appear companies are exaggerating the significance of this emerging technology. AI this, AI that The reality is that AI is here to stay and will play a massive role in the future of global technology, how consumers interact with it and the way businesses operate.
The main commercial model, from OpenAI, was quicker and easier to deploy and more accurate right out of the box, but the open source alternatives offered security, flexibility, lower costs, and, with additional training, even better accuracy. Its possible to opt-out, but there are caveats. So we augment with open source, he says.
As organizations look to modernize IT systems, including the mainframe, there’s a critical need to do so without sacrificing security or falling out of compliance. With the stakes so high, IT leaders need to ensure their modernization strategies are inclusive of mainframe security. PCI DSS v4.0).
AI technologies, like large language models (LLMs), require large and diverse datasets to train models, make predictions, and derive insights. However, the diversity and velocity of data utilized by AI pose significant challenges for data security and compliance.
Laying the foundations for generative AI requires a business-wide approach to data-driven decision-making that empowers the entire workforce to take full advantage of the technology while offering confidence and assurance to the business that it is safe and secure to embark on this journey.
To keep ahead of the curve, CIOs should continuously evaluate their business and technology strategies, adjusting them as necessary to address rapidly evolving technology, business, and economic practices. Since the introduction of ChatGPT, technology leaders have been searching for ways to leverage AI in their organizations, he notes.
By 2027, 70% of healthcare providers will include emotional-AI-related terms and conditions in technology contracts or risk billions in financial harm. New security and risk solutions will be necessary as AI agents significantly increase the already invisible attack surface at enterprises.
Artificial Intelligence (AI), a term once relegated to science fiction, is now driving an unprecedented revolution in business technology. The Nutanix State of Enterprise AI Report highlights AI adoption, challenges, and the future of this transformative technology. Nutanix commissioned U.K. Nutanix commissioned U.K.
A member of your organization’s security team reads about a new kind of security tool and brings it to the CISO’s attention, who decides that it’s a good investment. The CISO sees a new kind of security threat that requires a different security tool. A colleague recommends a security tool she says is indispensable.
The world must reshape its technology infrastructure to ensure artificial intelligence makes good on its potential as a transformative moment in digital innovation. New technologies, such as generative AI, need huge amounts of processing power that will put electricity grids under tremendous stress and raise sustainability questions.
Hes leveraging his vendor relationships to keep pace with emerging as well as tried-and-true technologies and practices. I am excited about the potential of generative AI, particularly in the security space, she says. Double down on harnessing the power of AI Not surprisingly, getting more out of AI is top of mind for many CIOs.
Despite AI’s potential to transform businesses, many senior technology leaders find themselves wrestling with unpredictable expenses, uneven productivity gains, and growing risks as AI adoption scales, Gartner said. CIOs should create proofs of concept that test how costs will scale, not just how the technology works.”
Today, security teams worldwide are under immense pressure. Today’s cybercriminals are leveraging advanced techniques to breach security perimeters – ransomware attacks are more targeted, phishing campaigns are increasingly sophisticated, and attackers are exploiting new vulnerabilities.
This collaboration marks a significant milestone for both Du and the UAE’s digital vision, which is focused on integrating cutting-edge technology into every aspect of governance and public service. However, with the rapid adoption of AI and cloud technologies, concerns over security and data privacy are paramount.
The technology is relatively new, but all the major players are already on board. We cant do that for security reasons, he says. Mitre has also tested dozens of commercial AI models in a secure Mitre-managed cloud environment with AWS Bedrock. Even accounting for necessary human oversight, the process is moving faster every day.
Agentic AI was the big breakthrough technology for gen AI last year, and this year, enterprises will deploy these systems at scale. In addition, because they require access to multiple data sources, there are data integration hurdles and added complexities of ensuring security and compliance. Not all of that is gen AI, though.
In today’s enterprise environments, security and networking teams may be siloed for a variety of reasons. The root cause might be technological, with teams using tools and platforms specifically tailored for their separate domains. Unifying security and networking teams is clearly the solution, but what’s the best way to get there?
These details are from the Check Point 2024 Cyber Security Report , which paints a combination of grim prospects and optimism. This technology is gaining popularity as it provides organizations several benefits, including simplifying network management, enhanced application performance, and operational cost savings.
Technology continues to advance at a furious pace. When addressed properly , application and platform modernization drives immense value and positions organizations ahead of their competition, says Anindeep Kar, a consultant with technology research and advisory firm ISG.
Despite the importance of the mainframe, it has been neglected over the years with organizations focusing on perimeter security. According to Gartner , IT security software is the top purchase category (28%) for those buying IT-related software. But only eight percent of those buyers are purchasing IT management software.
The premise was that enterprises needed to secure their critical data more stringently in the wake of data hacks and emerging AI processes. I wrote, “ It may be even more important for the security team to protect and maintain the integrity of proprietary data to generate true, long-term enterprise value. Years later, here we are.
Ensure security and access controls. Modern data architectures must be designed for security, and they must support data policies and access controls directly on the raw data, not in a web of downstream data stores and applications. Choose the right tools and technologies. Flexibility. Data integrity. Scalable data pipelines.
Most large businesses have a security team. But what, exactly, does that security team look like? And is it optimized in each of these respects to maximize the organization’s security posture? We learned, for example, that very few organizations have just a single security team. How is it structured? Most have several.
To overcome those challenges and successfully scale AI enterprise-wide, organizations must create a modern data architecture leveraging a mix of technologies, capabilities, and approaches including data lakehouses, data fabric, and data mesh. Before we go further, let’s quickly define what we mean by each of these terms.
One of the greatest things about working in technology is the surprise advancements that take the industry by storm. There is no way it will ever be secure. The typical reaction is to ban any use of it until you can figure out what it is, what it does, how it will benefit your business and how you can safely and securely deploy it.
While the ROI of any given AI project remains uncertain , one thing is becoming clear: CIOs will be spending a whole lot more on the technology in the years ahead. Research firm IDC projects worldwide spending on technology to support AI strategies will reach $337 billion in 2025 — and more than double to $749 billion by 2028.
The partnership is set to trial cutting-edge AI and machine learning solutions while exploring confidential compute technology for cloud deployments. Core42 equips organizations across the UAE and beyond with the infrastructure they need to take advantage of exciting technologies like AI, Machine Learning, and predictive analytics.
As a consequence, these businesses experience increased operational costs and find it difficult to scale or integrate modern technologies. 1] Retaining outdated technology may seem like a cautious approach but there are mounting inherent dangers. The solutionGenAIis also the beneficiary.
The updated measures have also added 140 Chinese entities to a blacklist, targeting firms seen as pivotal to Beijing’s ambitions for semiconductor self-sufficiency through advanced manufacturing technologies. “We Today’s announcement represents the next step in that ongoing work.”
Meanwhile, AI can also help companies modernize their mainframe strategies, whether it be assisting with moving workloads to the cloud, converting old mainframe code, or training workers in mainframe-related technologies, Goude says. AI can be assistive technology,” Dyer says. “I
ADIB-Egypt has announced plans to invest 1 billion EGP in technological infrastructure and digital transformation by 2025. In recent years, ADIB-Egypt has already made substantial strides in integrating technology into its operations.
Effective training is not merely a line item expense — it’s an indispensable investment in the operational integrity and financial security of organizations. Moreover, a knowledgeable IT team can ensure that systems are kept up-to-date and secure against emerging threats, decreasing the likelihood of costly incidents.
Adopting Operational AI Organizations looking to adopt Operational AI must consider three core implementation pillars: people, process, and technology. Technology: The workloads a system supports when training models differ from those in the implementation phase.
But some companies, particularly in the IT sector, now appear to be reevaluating their business models and will consider selling non-core lines of business and products to fund AI projects, says James Brundage, global and Americas technology sector leader at EY, an IT and tax advisory firm.
1 Meanwhile Tom Mainelli, group vice president for device and consumer research at IDC, says: “The NPU-equipped AI PCs shipping today are the beginning of a technology ramp that could lead to big changes in the way we interact with our PCs.”
However, in terms of in-house technology, the Belgian company’s carbon footprint data used to be stored on spreadsheets, while quality control was performed manually, limiting the Elia Group’s ability to calculate the Scope 3 upstream emissions released for all their assets.
Intro: Time was, a call center agent could be relatively secure in knowing who was at the other end of the line. And if they werent, multi-factor authentication (MFA), answers to security questions, and verbal passwords would solve the issue. Often, bots are involved in this process.
As SMBs consider implementing or enhancing a cybersecurity strategy, INE Security is highlighting the keys to successful rollout, including: Choosing the Right Training Provider: When selecting a training provider, SMBs should look for expertise in cutting-edge technologies and strategies, including real-world, hands-on cyber ranges.
The bigplayers,such as OTAs [Online Travel Agencies], are advancing in their adoption of new technologies, taking advantage of AI andbig datatools,while other actors are in earlier stages of integration, he says. In addition, Abril highlights specific benefits gained from applying new technologies.
The Middle East is rapidly evolving into a global hub for technological innovation, with 2025 set to be a pivotal year in the regions digital landscape. Looking ahead to 2025, Lalchandani identifies several technological trends that will define the Middle Easts digital landscape.
Generative AI is likely to confuse the capital investor as much as any technology ever has,” he adds. In many cases, CIOs and other IT leaders have moved past the peak expectations about what gen AI can do for their organizations and are headed into more realistic ideas about the future of the technology, Lovelock adds.
It says our job as technology leaders can help educate our audience on what is possible and what it will take to get to their goal. Data quality is a problem that is going to limit the usefulness of AI technologies for the foreseeable future, Brown adds. Gen AI uses huge amounts of energy compared to some other AI tools, he notes.
When generative AI (genAI) burst onto the scene in November 2022 with the public release of OpenAI ChatGPT, it rapidly became the most hyped technology since the public internet. Typically, when a new technology emerges, IT recognizes the value and then must convince the C-suite to invest. With AI, it’s exactly the opposite.
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