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Salesforce CIO Juan Perez encourages CIOs to learn from their peers. “AI But it’s important to understand that AI is an extremely broad field and to expect non-experts to be able to assist in machine learning, computer vision, and ethical considerations simultaneously is just ridiculous.” Blank says.
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. AI and machine learning are poised to drive innovation across multiple sectors, particularly government, healthcare, and finance.
AI, once viewed as a novel innovation, is now mainstream, impacting just about facet of the enterprise. Over the next 12 months, IT leaders can look forward to even more innovations, as well as some serious challenges. As 2025 dawns, CIOs face an IT landscape that differs significantly from just a year ago.
Innovate Shane McDaniel, CIO for the City of Seguin, Texas, says his city has grown by about 35% since the 2020 census. McDaniel says this work also creates a strong launchpad for more IT innovation in the upcoming year. Were embracing innovation, he explains. Heres what they resolve to do in the upcoming 12 months.
Integrating AI and large language models (LLMs) into business operations unlocks new possibilities for innovation and efficiency, offering the opportunity to grow your top line revenue, and improve bottom line profitability. How can you close security gaps related to the surge in AI apps in order to balance both the benefits and risks of AI?
Unsurprisingly, the more data that is stored, accessed, and processed across different cloud architectures that typically also span different geographic jurisdictions, the more security and privacy risks arise. Securing from AI : Just like most new technologies, artificial intelligence is a double-edged sword.
Recent research shows that 67% of enterprises are using generative AI to create new content and data based on learned patterns; 50% are using predictive AI, which employs machine learning (ML) algorithms to forecast future events; and 45% are using deep learning, a subset of ML that powers both generative and predictive models.
The partnership is set to trial cutting-edge AI and machine learning solutions while exploring confidential compute technology for cloud deployments. This collaboration marks a significant step in driving innovation in cloud services, particularly in the MENA region.
In a global economy where innovators increasingly win big, too many enterprises are stymied by legacy application systems. Maintaining, updating, and patching old systems is a complex challenge that increases the risk of operational downtime and security lapse.
The cloud computing revolution brought with it many innovations, but also lessons about the pitfalls of rapidly adopting new technologies without a well-planned strategy. Over time, many organizations found themselves grappling with issues concerning costs, security, and governance that had them rethinking the underlying model.
While poised to fortify the security posture of organizations, it has also changed the nature of cyberattacks. From prompt injections to poisoning training data, these critical vulnerabilities are ripe for exploitation, potentially leading to increased security risks for businesses deploying GenAI.
All industries and modern applications are undergoing rapid transformation powered by advances in accelerated computing, deep learning, and artificial intelligence. As the next generation of AI training and fine-tuning workloads takes shape, limits to existing infrastructure will risk slowing innovation. Through relentless innovation.
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.
You know, the personal transport device that flopped in the marketplace and became synonymous with mall security guards. Instead, we need to focus on developing a culture of innovation around AI that shapes the technology with society and business front and center. Instead, it needs to be coupled with innovation. The Segway.
Prediction #3: Superior guardrails and governance will spur innovation. In 2025, the best data platforms will enable previously unheard-of levels (and ease) of the multi-party collaboration required for real innovation. It doesnt just let your agent learn general knowledge from wherever.
Once synonymous with a simple plastic credit card to a company at the forefront of digital payments, we’ve consistently pushed the boundaries of innovation while respecting tradition and our relationships with our merchants, banks, and customers. Companies and teams need to continue testing and learning.
Current strategies to address the IT skills gap Rather than relying solely on hiring external experts, many IT organizations are investing in their existing workforce and exploring innovative tools to empower their non-technical staff. GenAI can augment workers capabilities, automate complex tasks, and facilitate continuous learning.
While 2023 saw its emergence as a potent new technology, business leaders are now grappling with how to best leverage its transformative power to grow efficiency, security, and revenue. For example, courses offered by INE Security provide comprehensive training that covers both traditional cybersecurity skills and newer AI-based tools.
From the launch of its mobile banking app in 2020 to the enhancement of its internet banking services, ADIB-Egypt has consistently focused on providing convenient, secure, and user-friendly digital banking solutions. By focusing on innovation, the bank aims to provide its customers with an unparalleled banking experience.
AI a primary driver in IT modernization and data mobility AI’s demand for data requires businesses to have a secure and accessible data strategy. Key challenges include designing and deploying AI infrastructure, with priorities such as data security (53%), resilience and uptime (52%), management at scale (51%), and automation (50%).
For example, in my 2017 “ State of Digital Transformation ” report, I learned that only 37% of businesses viewed digital transformation as an investment in the fight against market evolution and disruption. And if there’s anything we learned from years of digitization vs. digital transformation, you can’t digitize your way to transformation.
Years into digital transformation, and decades into the IT function itself, many CIOs still fall short when it comes to innovation. Tech debt, budget constraints, and overloaded staff schedules are among the top reasons IT leaders cite for scuttled innovation attempts. Otherwise, they won’t support and fund even promising work.
For organizations seeking productivity and innovation gains, a best practice is to prioritize use cases based on value, feasibility, and breadth. Next, explore potential new workflows or processes that genAI can create to improve productivity, increase innovation, and/or provide competitive differentiation.
However such fear, uncertainty, and doubt (FUD) can make it harder for IT to secure the necessary budget and resources to build services. This could lead to more shadow AI , which could lead to more security threats and a wider attack surface. Learn more about how Dell Generative AI Solutions. But how do you get there?
INE Security is proud to announce that it has been named a winner in the prestigious 2024 SC Awards, named Best IT Security-Related Training Program. This designation underscores INE Security’s commitment to excellence and leadership in the cybersecurity industry.
To drive change, a reworking of what defines CIO/IT success is needed, with a focus on strategic business goals, innovation, and market differentiation. Of the top seven metrics, only two — innovation and profit growth — are directly tied to digital transformation goals. The CIO is no longer the chief of “keeping the lights on.”
With AI at the epicenter of innovation today, bringing AI into Industry 4.0 From plant automation and predictive maintenance in manufacturing to delivering hyper-personalized shopping experiences in retail, edge AI offers a range of possibilities and encourages innovation across industries. Learn more about Dell NativeEdge 2.0
INE Security is pleased to announce that it has been recognized as a 2024 SC Award finalist in the Excellence Award category for Best IT Security-Related Training Program. We are honored to be recognized as a finalist in the SC Awards for our commitment to excellence in IT security training,” said Dara Warn, CEO of INE Security. “We
The pace of innovation is relentless. Once wild and seemingly impossible notions such as large language models, machine learning, and natural language processing have gone from the labs to the front lines. The next generation promises to deliver the same unstoppable parade of innovation. Real physical security may be impossible.
As these technologies compete to stay around for the long run, what can they learn from the longevity of the mainframe? Put an emphasis on security In the world of rapid technological evolution, few platforms have withstood the test of time quite like mainframes.
At the same time, we hear about the dark side of AI with concerns around job displacement, data security and privacy, and minimizing the human touch. AI investments can also serve as a unifier between humans and technology – helping us to learn better, communicate clearly, and connect faster.
“Innovate or die,” Peter Drucker’s 1985 exhortation on the importance of constant reinvention, was great business advice for the last 40 or so years. Budgets to build new innovations It’s always a challenge to find the budget to build new innovations and platforms when the primary focus of the CIO is to keep the business running.
Data hygiene, data quality, and data security are all topics that weve been talking about for 20 years, Peterson says. In some use cases, older AI technologies, such as machine learning or neural networks, may be more appropriate, and a lot cheaper, for the envisioned purpose. Innovation often involves a lot of misfires, he adds.
Innovators have the unique ability to see what’s possible, bringing together in new ways, acclimating to change and thriving within it, and creating true transformation. Few people are true innovators, but it’s those characteristics that make an innovator worthy of the title “Outlier.” Jason Peoples is one of those rare people.
By Chet Kapoor, Chairman & CEO at DataStax Along with the exciting possibilities of generative AI (genAI), there have been concerns around job (in)security and displacement. We believe choosing the latter is imperative – because the benefits of genAI can only be realized when combined with human creativity and innovation.
The Western Sugar/SAP solution has also helped the cooperative improve data security and privacy to ensure compliance with local and global data protection regulations. Sweet recognition The improvements have also led to Western Sugar being recognized as an innovator and leader in its industry.
There’s a security issue.” That’s why Discover® Financial Service’s product security and application development teams worked together to shift security left by integrating security by design and conducting early security testing often to identify vulnerabilities prior to hitting deployment.
The intersection of AI, software, and data management is set to revolutionize healthcare and will serve as a critical driver of medical innovation and improved patient outcomes. Learn more about how VMware Tanzu can help with the application of AI across industries, including healthcare , at [link]
AI-generated code promises to reshape cloud-native application development practices, offering unparalleled efficiency gains and fostering innovation at unprecedented levels. This dichotomy underscores the need for a nuanced understanding between AI-developed code and security within the cloud-native ecosystem.
Boston Dynamics well known robotic dog Spot was among the first advanced robots, and most use machine learning (ML) pattern recognition models. But while there is significant investment and innovation going on, Gartners Klappich sees still fairly limited use cases, mostly proof of concepts.
However, while the cloud dramatically increases agility and efficiency, it also creates major security challenges. Cloud innovation is on a collision course as the velocity of cloud applications is vastly eclipsing the speed at which security teams can secure them.
In this role, Brady oversees the front-to-back IT organization, data and analytics, enterprise security, enterprise risk, and an intelligent automation center of excellence, all while managing back-office operations, contact center services, and KeyBanks corporate real estate portfolio. Theyre not innovative enough.
A technology inflection point Generative AI operates on neural networks powered by deep learning systems, just like the brain works. These systems are like the processes of human learning. Large learning models (LLMs) that back these AI tools require storage of that data to intelligently respond to subsequent prompts.
A hybrid approach often offers the best solution, allowing organizations to store and process sensitive information securely on-premises while leveraging the scalability and flexibility of the cloud for less critical workloads. To learn more about GenAI and how Cloudera can help you maximize your investments, click here.
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