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As Middle Eastern countries accelerate digital transformation through smart cities, AI adoption, and giga-projects, cybersecurity threats are evolving faster than defenses can keep up. AI is no longer just a tool for innovation, its a weapon, says Setareh. Partnerships are crucial in this ecosystem.
IT leaders are placing faith in AI. Consider 76 percent of IT leaders believe that generativeAI (GenAI) will significantly impact their organizations, with 76 percent increasing their budgets to pursue AI. But when it comes to cybersecurity, AI has become a double-edged sword.
As enterprises increasingly embrace generativeAI , they face challenges in managing the associated costs. With demand for generativeAI applications surging across projects and multiple lines of business, accurately allocating and tracking spend becomes more complex.
growth this year, with data center spending increasing by nearly 35% in 2024 in anticipation of generativeAI infrastructure needs. This spending on AI infrastructure may be confusing to investors, who won’t see a direct line to increased sales because much of the hyperscaler AI investment will focus on internal uses, he says.
While organizations continue to discover the powerful applications of generativeAI , adoption is often slowed down by team silos and bespoke workflows. To move faster, enterprises need robust operating models and a holistic approach that simplifies the generativeAI lifecycle.
Building cloud infrastructure based on proven best practices promotes security, reliability and cost efficiency. In this post, we explore a generativeAI solution leveraging Amazon Bedrock to streamline the WAFR process. This scalability allows for more frequent and comprehensive reviews.
When your CEO or CFO asks about the budget needed for technical debt remediation , do you find yourself struggling to justify the investment? In our recent report examining technical debt in the age of generativeAI , we explored how companies need to break their technical debt down into four categories. You’re not alone.
Currently, enterprises primarily use AI for generative video, text, and image applications, as well as enhancing virtual assistance and customer support. Other key uses include fraud detection, cybersecurity, and image/speech recognition. AI applications rely heavily on secure data, models, and infrastructure.
Organizations are increasingly using multiple large language models (LLMs) when building generativeAI applications. Through the use of different LLMs tailored to each tier, SaaS applications can offer capabilities that align with the varying needs and budgets of their diverse customer base.
GenerativeAI gives organizations the unique ability to glean fresh insights from existing data and produce results that go beyond the original input. Companies eager to harness these benefits can leverage ready-made, budget-friendly models and customize them with proprietary business data to quickly tap into the power of AI.
Cloud spending is going up and budgets are tightening, so theyre asking whats going on and how do we right this ship. For example, organizations that build an AI solution using Open AI need to consider more than the AI service. Adding vaults is needed to secure secrets. Where are those workloads going?
To address the misalignment of those business units, MMTech developed a core platform with built-in governance and robust security services on which to build and run applications quickly. I want to provide an easy and secure outlet that’s genuinely production-ready and scalable. The biggest challenge is data.
After more than a decade leading the digital transformation and cybersecurity initiatives of the services company, hes managed to forge a synergy where tech and informationsecurity are established as fundamental pillars for business success. Cybersecurity is also integral to Garca Dujos approach to transform.In
For generativeAI, a stubborn fact is that it consumes very large quantities of compute cycles, data storage, network bandwidth, electrical power, and air conditioning. Infrastructure-intensive or not, generativeAI is on the march. of the overall AI server market in 2022 to 36% in 2027.
Ongoing layoffs in the tech industry and rising demand for AI skills are contributing to a growing mismatch in the IT talent market, which continues to show mixed signals as economic factors and the rise of AI impact budgets and the long-term outlook for IT skills.
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. Those bullish numbers don’t surprise many CIOs, as IT leaders from nearly every vertical are rolling out generativeAI proofs of concept, with some already in production.
As the GenerativeAI (GenAI) hype continues, we’re seeing an uptick of real-world, enterprise-grade solutions in industries from healthcare and finance, to retail and media. But beyond industry, however, there are factors that play into the success or failure of GenerativeAI projects.
By Andy Ellis In 2023, the outlook for cybersecurity companies seemed dire. For cybersecurity companies, this is often troubling news. While a quarter of CISOs are still reporting decreased budgets, 2 in 5 are now seeing budget increases. Image source: CISO Circuit 9, August 2023, YL Ventures.
To address the misalignment of those business units, MMTech developed a core platform with built-in governance and robust security services on which to build and run applications quickly. I want to provide an easy and secure outlet that’s genuinely production-ready and scalable. The biggest challenge is data.
As I work with financial services and banking organizations around the world, one thing is clear: AI and generativeAI are hot topics of conversation. Financial organizations want to capture generativeAI’s tremendous potential while mitigating its risks. In short, yes. But it’s an evolution. billion by 2032.
GenerativeAI (GenAI) is having a renaissance, but few industries are experiencing this like healthcare. The 2024 GenerativeAI in Healthcare Survey , however, does a better job at that. The 2024 GenerativeAI in Healthcare Survey , however, does a better job at that.
It was truly a good use of time attending the 33rd RSA Conference in San Francisco, along with over 40,000 attendees, networking with the leading minds in the cybersecurity industry. Cybersecurity is a strategic battle, and a successful outcome depends on having the right knowledge and tools to stay ahead of attackers.
Perhaps the most exciting aspect of cultivating an AI strategy is choosing use cases to bring to life. This is proving true for generativeAI, whose ability to create image, text, and video content from natural language prompts has organizations scrambling to capitalize on the nascent technology. What model(s) do you choose?
“No company got out of 2023 without having a story about how much better their company was going to be, how much better their products were going to be, how much better their customers’ lives were going to be because of generativeAI,” he said. There were very robust stories about how great generativeAI was going to be.”
A huge part of the problem is that generativeAI is so new that little expertise exists, says Seth Blank, CTO at Valimail, an email authentication provider. There’s value in experimenting with AI, because CIOs and other IT leaders can develop expertise through a limited number of proof-of-concept projects, he adds.
Facing increasing demand and complexity CIOs manage a complex portfolio spanning data centers, enterprise applications, edge computing, and mobile solutions, resulting in a surge of apps generating data that requires analysis. Enterprise IT struggles to keep up with siloed technologies while ensuring security, compliance, and cost management.
The benefit of an AI assistant is evident for some jobs, such as programmers , he says. AI tools can help coders clean up logic and coding errors and find security problems, and they may also help to accelerate programmers’ skills, cutting the sunk cost of internal training, he suggests.
CIOs are under pressure to accommodate the exponential rise in inferencing workloads within their budgets, fueled by the adoption of LLMs for running generativeAI -driven applications. This is something that most vendors gloss over in their demonstration of new capabilities, Hinchcliffe said.
Cybersecurity cannot stand still, or the waves of innovation will overrun the shores. Multifactor authentication fatigue and biometrics shortcomings Multifactor authentication (MFA) is a popular technique for strengthening the security around logins. Cybersecuritybudgets are typically caught between these two forces.
The impact of generativeAIs, including ChatGPT and other large language models (LLMs), will be a significant transformation driver heading into 2024. Below are several generativeAI drivers for CIOs to consider when evolving their digital transformation priorities.
Strengthening cybersecurity in the age of AI and Gen AI Marco Pereira 21 Nov 2024 Facebook Twitter Linkedin As cyber threats evolve in complexity, organizations face an urgent need to bolster their defenses. A striking 97% of surveyed organizations reported security incidents involving Gen AI in the past year alone.
The most pressing responsibilities for CIOs in 2024 will include security, cost containment, and cultivating a data-first mindset.” Investing in generativeAI More than half of CIOs will invest in generativeAI over the next 12 to 18 months, according to the most recent PwC Pulse Survey.
In one case, this oversight led to a fragmented IT landscape and security vulnerabilities.” The CIO is really worried about cybersecurity and the risk of data exfiltration,” says Fernandes. Business leaders can’t wait until next year for another budget to get approved.”
CIO Middle East discuss with Muath AlHomoud, Director of Cybersecurity about how organisations should learn from the hacking activities performed on them so they can implement more effective cyber defences and plan against similar or more sophisticated attacks. From a cybersecurity perspective, how has 2023 been?
Add the rapid rise of generativeAI, and the past year was one in which CIOs often found themselves on the back foot, reacting to disruptions and shifting strategies in real-time. The role of the CIO has recently seen a massive convergence with cybersecurity,” says McCormick. “The Waiting is a losing strategy.”
And, predominantly for CIOs and CISOs, you always have to consider the evolving cybersecurity landscape and the threats that are associated with that. Security and availability. The risks around tech decoding today’s cybersecurity measures as it becomes more accessible to the masses. It’s a bit of a balancing act.
Amid budget constraints, labor shortages, and the need to do more with less, CIOs and IT leaders are facing common IT problems that transcend industries. From poor data accessibility to changing customer expectations, IT leaders are turning to generativeAI (GenAI) as an answer to their problems.
From a cybersecurity perspective, how has been 2023? Very eventful year as far as cybersecurity is concerned. The year has been marked by a general increase in state-sponsored attacks due to geopolitical conflicts. What are the top three challenges security leaders will face in 2024?
With emerging technologies like Gen-AI keeping organizations in a flurry of new implementations, a rapidly shifting CIO role, new innovations testing budgets and adaptability of organizations and increasing competition, a competent CIO is the ace that can change the game. Namrita prioritizes agility as a virtue.
AI faces a fundamental trust challenge due to uncertainty over safety, reliability, transparency, bias, and ethics. In a recent global survey , 86% of participants said their organizations had dedicated budget to generativeAI, but three-quarters admitted to significant concerns about data privacy and security.
GenerativeAI has been the topic of conversation since OpenAI thrust it into the mainstream. One only needs to look at the numbers: a recent John Snow Labs study revealed that GenAI budgets have increased significantly from 2023, with nearly 20% of healthcare technical leaders reporting a budget growth of over 300%.
Large enterprises are building strategies to harness the power of generativeAI across their organizations. Managing bias, intellectual property, prompt safety, and data integrity are critical considerations when deploying generativeAI solutions at scale.
Tech services provider Logicalis found in its 2024 Global CIO Report that 89% of CIOs reported “actively seeking opportunities to incorporate AI capabilities into their companies,” making it the No. A committee reviews potential projects and expected returns, to ensure the company is pursuing impactful AI initiatives.
The early bills for generativeAI experimentation are coming in, and many CIOs are finding them more hefty than they’d like — some with only themselves to blame. CIOs are also turning to OEMs such as Dell Project Helix or HPE GreenLake for AI, IDC points out. The heart of generativeAI lies in GPUs.
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