This site uses cookies to improve your experience. To help us insure we adhere to various privacy regulations, please select your country/region of residence. If you do not select a country, we will assume you are from the United States. Select your Cookie Settings or view our Privacy Policy and Terms of Use.
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Used for the proper function of the website
Used for monitoring website traffic and interactions
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Strictly Necessary: Used for the proper function of the website
Performance/Analytics: Used for monitoring website traffic and interactions
Nearly nine in 10 business leaders say their organizations data ecosystems are ready to build and deploy AI at scale, according to a recent Capital One AI readiness survey. But 84% of the IT practitioners surveyed, including data scientists, data architects, and data analysts, spend at least one hour a day fixing data problems.
I am excited about the potential of generative AI, particularly in the security space, she says. The opportunity to further leverage AI to enhance our security infrastructure, address threats, and enable fraud detection is immense, she says. CIOs are an ambitious lot. Were embracing innovation, he explains.
In fact, Gartner believes that cost is as big an AI risk as security or hallucinations. Organizations that deploy AI to eliminate middle management human workers will be able to capitalize on reduced labor costs in the short-term and long-term benefits savings. The demand of GenAI will help nearly triple server sales from 2023 to 2028.”
Generative AI is likely to confuse the capital investor as much as any technology ever has,” he adds. Gartner is projecting worldwide IT spending to jump by 9.3% in 2025, one of the largest percentage increases in this century, and it’s only partially driven by AI. Gartner’s new 2025 IT spending projection , of $5.75 CEO and president there.
Organizations that deploy AI to eliminate middle management human workers will be able to capitalize on reduced labor costs in the short-term and long-term benefits savings,” Gartner stated. “AI New security and risk solutions will be necessary as AI agents significantly increase the already invisible attack surface at enterprises.
When were talking with clients right now, one thing that theyre looking at doing is divesting of non-core assets to generate that capital, he adds. In May, electronic design automation firm Synopsys announced a sale of its security testing software business for $2.1
This move allows Uber to capitalize on the growing demand for AI development services and tap into a new market. The requirements will vary, depending on whether the data to be labeled is proprietary or public, and whether there are any special considerations around privacy or security.
If there is a single theme circulating among Chief Information Security Officers (CISOs) right now, it is the question of how to get stakeholders on board with more robust cybersecurity training protocols. Human error remains one of the leading causes of security breaches.
Gartner projects that spending on information security and risk management products and services will grow 11.3% To better focus security spend, some chief information security officers (CISOs) are shifting their risk assessments from IT systems to the data, applications, and processes that keep the business going.
For financial services company Capital Group, competing in tight IT talent markets is all about the long run. “We That focus includes not only the firm’s customer-facing strategies but also its commitment to investing in the development of its employees, a strategy that is paying off, as evidenced by Capital Group’s No. Capital Group.
You won’t be able to do so without a significant amount of capital. You are going to need to recognize the barriers to entry in this industry and make sure that you have access to the capital needed to cover these costs. You might want to consider using venture capital to raise the funds needed to grow your cloud business.
In the long run, your costs are going to be lower, and your speed is going to be much faster,” says Naga Gurram, senior director of software engineering at Capital One. But that all depends on a data governance strategy tuned for the digital era. Now we are talking about hundreds of petabytes of data. Data is coming from everywhere.”
Effective training is not merely a line item expense — it’s an indispensable investment in the operational integrity and financial security of organizations. After the 2019 data breach of Capital One, which affected approximately 100 million customers in the U.S.,
Multifactor authentication fatigue and biometrics shortcomings Multifactor authentication (MFA) is a popular technique for strengthening the security around logins. Securing the software supply chain The Log4j vulnerability that reared its ugly head in late 2021 showed a bright light on the problem of software supply chain security.
As CIO Neil Holden moved his company, Halfords Group, further into the cloud, he sought to do more than simply “lift-and-shift” IT operations. Rather, Holden — like most CIOs — wanted his increasing use of cloud to enable and shape the company’s transformation agenda. Here, four IT leaders detail how they have taken action on this front.
He also sees opportunities in areas such as security and encryption where sovereignty is preferred. I put long-awaited in quotation marks because, although it is described as such, it takes a certain masochistic disposition to look forward to a slap in the face like this. It’s pure horror reading. Yes, one really hopes so.
Historically, these weren’t designed with security in mind. OT assets are highly vulnerable to attack because they don’t have built-in security, traffic isn’t encrypted and there’s low visibility into their functioning. Security is paramount for the core infrastructure that supports manufacturing and industrial operations.
French IT services company Atos has called on a third-party trustee to help it negotiate debt refinancing with its banks after plans to raise €720 million in new capital through a rights issue fell through. It announced it requested the appointment Monday, promising to give an update on the negotiations in due course.
Generative AI shifts the cloud calculus Somerset Capital Group is one organization that has opted to go private to run its ERP applications and pave the way for generative AI. Controlling escalating cloud and AI costs and preventing data leakage are the top reasons why enterprises are eying hybrid infrastructure as their target AI solution.
It also introduces new security challenges that demand our attention, especially as IoT is integrated into operational technology (OT) environments. 6 IoT vulnerabilities to watch out for Security risks are a significant concern for businesses using LoT and OT technology.
Looking ahead to the next 12-18 months, two top priorities emerge for IT leaders: developing a strong business case for AI infrastructure spending (cited by 35% of respondents to IDC’s Future Enterprise Resiliency and Spending Survey, Wave 3 , March 2024) and increasing cyber resilience and security (34%).
Training data security, algorithm security, trained model security, and platform security, as well as model transparency, ethics, and responsibility, are the key focus areas for building a secure and sustainable AI practice. billion in 2021, and it is forecast to grow at a compound annual growth rate (CAGR) of 25.6%
Training data security, algorithm security, trained model security, and platform security, as well as model transparency, ethics, and responsibility, are the key focus areas for building a secure and sustainable AI practice. billion in 2021, and it is forecast to grow at a compound annual growth rate (CAGR) of 25.6%
Todd Cassidy, managing vice president and CIO of associate experience at Capital One, is in that camp. “We Moreover, CIOs and researchers believe a robust cloud environment will be mandatory for capitalizing on other technology trends expected to be in play in 2025. Connected devices, torrents of data.
Ali Alkaf Alhashmi VP, Cyber Security & Technology, Mubadala Investments 4. Anoop Paudval Head of Information Security and Governance Gulf News, Al Nisr Publishing 5. Ayoub Fathi, Vice President of Information Security, CISO noon 7. Dileep Sreedharan, Senior Director of Cyber Security, DAMAC Group 8.
Ask IT leaders about their challenges with shadow IT, and most will cite the kinds of security, operational, and integration risks that give shadow IT its bad rep. That’s not to downplay the inherent risks of shadow IT. There are ample reasons why 77% of IT professionals are concerned about shadow IT, according to a report from Entrust.
Upgrading cloud infrastructure is critical for deploying broad AI initiatives more quickly, so that’s a key area where investments are being made this year. Fifty-two percent of organizations plan to increase or maintain their IT spending this year, according to Enterprise Strategy Group.
When asked which challenges most often force IT to redirect time and focus away from strategy and innovation tasks, CIOs most commonly cited staff and skills shortages, changing business conditions, and addressing security threats. It hit us all and kept us from looking at the things we were working on,” he says. “We
Three years ago, IT leaders were squarely focused on how to adopt fledgling AI techniques and approaches into their business models in service of digital transformations that included plans for shifting some workloads to the cloud. But then the pandemic hit, requiring a historic pivot that set some best-laid plans aside and accelerated others.
To capitalize on the enormous potential of artificial intelligence (AI) enterprises need systems purpose-built for industry-specific workflows. business with Prudential, emphasized the importance of security and governance, because more people are using AI platforms to access and use sensitive data.
Advancements in analytics and AI as well as support for unstructured data in centralized data lakes are key benefits of doing business in the cloud, and Shutterstock is capitalizing on its cloud foundation, creating new revenue streams and business models using the cloud and data lakes as key components of its innovation platform.
The technical skills, IT leadership expertise, and ability to keep the network secure and running, and even to deliver innovation aren’t enough to create success for today’s CIOs. Inevitably, he adds, IT will have to manage those solutions or deploy them, while making sure to keep the network secure. Engineers want to go build stuff.
LayerX , pioneer of the LayerX Browser Security platform, today announced $24 million in Series A funding led by Glilot+, the early-growth fund of Glilot Capital Partners, with participation from Dell Technologies Capital and other investors. This round brings the company’s total investment to $32 million.
So when it comes to securing funding and resources from the board, is the CIO put in the box seat if technology is at the center of investment strategy? However, in many cases, that money could be spent more effectively; we often see clients using cloud in a capital-intensive way that mimics how they used to use datacenters.
While it’s critical to control costs continuously, it becomes even more imperative during times of economic pressure,” says Jon Pratt, CIO at security managed services provider 11:11 Systems. Following are some actions IT leaders can take now to secure those funds for the future. But it’s not the only one.
In the case of Asana, capitalizing on these will require a commitment to being cost conscious, with an eye toward achieving efficiencies wherever possible, and then strategically deploying the savings that come from reevaluating the company’s operations. Amid the restraints, however, Srivastava sees opportunities.
Randich points out that FINRA moved to the public cloud before anyone of its size or industry was considering it, even though his organization was dealing with a board of directors and senior management that were skeptical about security. “By That means pushing back against a lot of pressure, sometimes against the board or the executives.
What binds these opportunities together is gen AI, and to make the most of it, we need to turn our immediate attention to human capital. This benefits a company’s productivity, while also going a long way toward ensuring the security and appropriate governance and compliance of gen AI solutions.
While traditional approaches to bridging the profitability gap, like layoffs and budget cuts, can harm company culture, an innovative and practical alternative is capitalizing on technology budgets. Capitalizing on technology budgets presents a viable solution. Tracy came along with Atlantic Aviation after that transaction.
The realization that primary and secondary storage are integral to a strong enterprise cyber security posture, including immutable snapshots, fast recovery, fenced-in forensic environments, and more, casts a wide net for the one thing that keeps C-level executives and IT leaders up at night – cyber resilience (or, rather, the lack of it).
Cloud data security is a crucial aspect of safeguarding sensitive data stored in cloud environments from unauthorized access, theft, and other security threats. This entails implementing a wide range of robust security measures that can protect cloud infrastructure, applications, and data from advanced cyber threats.
By modern, I refer to an engineering-driven methodology that fully capitalizes on automation and software engineering best practices. We are all familiar with the theory of evolution, where the Earth began as a rocky planet and eventually teemed with life. A similar transformation has occurred with data.
Just a decade ago, would-be CIOs could ascend to the top spot by way of an infrastructure, applications, or security track. Joy Brown’s rise through the upper echelons of digital and IT roles models what is now requisite preparation for technology leadership. Data experience is another must-have set of competencies, Heller says.
Either way, IT ultimately did what it does best: established controls and governance and gave teams what they needed: access to rich resources while keeping a close eye on security and costs. For some organizations, the solution has been to temporarily hit the pause button on GenAI until they can determine the best way to secure and govern.
We organize all of the trending information in your field so you don't have to. Join 11,000+ users and stay up to date on the latest articles your peers are reading.
You know about us, now we want to get to know you!
Let's personalize your content
Let's get even more personalized
We recognize your account from another site in our network, please click 'Send Email' below to continue with verifying your account and setting a password.
Let's personalize your content