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As the next generation of AI training and fine-tuning workloads takes shape, limits to existing infrastructure will risk slowing innovation. This means that the infrastructure needs to provide seamless data mobility and management across these systems. Through relentless innovation.
And he believes these tools not only streamline management and allow for more precise administration of resources, but also open up a range of possibilities to personalize the customer experience. We train and equip our teams with the necessary tools to integrate technology into their daily work, fostering constant and natural innovation.
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.
Travel and expense management company Emburse saw multiple opportunities where it could benefit from gen AI. With security, many commercial providers use their customers data to train their models, says Ringdahl. It allows us to provide services in areas that arent covered, and check boxes on the security, privacy, and compliance side.
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?
Rather than discuss “legacy systems,” talk about “revenue bottlenecks,” and replace “technical debt” with “innovation capacity.” Operational drag (interest): “Our teams spend 25% of their time on workarounds rather than innovation.” So it’s essential to show the ROI to your business from the management of these costs.
These areas are considerable issues, but what about data, security, culture, and addressing areas where past shortcuts are fast becoming todays liabilities? This will free them to bring their skills and creativity to higher-value activities such as enhancing data security and delivering innovative solutions for customers.
Because of the relentless innovation happening in the tech vendor race, CIOs feel like they are always living the hype, while the reality of their AI outcomes race — how tough it is to get value — makes it feel like they are also in the trough,” Mary Mesaglio, distinguished VP analyst at Gartner said in a statement.
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.
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%).
People : To implement a successful Operational AI strategy, an organization needs a dedicated ML platform team to manage the tools and processes required to operationalize AI models. Ensuring effective and secure AI implementations demands continuous adaptation and investment in robust, scalable data infrastructures.
Nate Melby, CIO of Dairyland Power Cooperative, says the Midwestern utility has been churning out large language models (LLMs) that not only automate document summarization but also help manage power grids during storms, for example. In fact, the two technological advancements are fully symbiotic, McCarthy points out.
Chief among these is United ChatGPT for secure employee experimental use and an external-facing LLM that better informs customers about flight delays, known as Every Flight Has a Story, that has already boosted customer satisfaction by 6%, Birnbaum notes.
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.
Suppliers were often hand-delivering paper invoices to the cooperative’s local offices, which were processed and paid out manually with no centralized invoice management. Working with SAP, the cooperative picked SAP Ariba Central Invoice Management with its inbound process for SAP S/4HANA Cloud public edition to create just what was needed.
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.
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. It’s a case of “you get what you measure.”
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
In today’s fast-paced digital environment, enterprises increasingly leverage AI and analytics to strengthen their risk management strategies. By adopting AI-driven approaches, businesses can better anticipate potential threats, make data-informed decisions, and bolster the security of their assets and operations.
That’s great, because a strong IT environment is necessary to take advantage of the latest innovations and business opportunities. Often, technical leaders don’t devote sufficient time to communication, change management, and stakeholder management,” he observes. Technology continues to advance at a furious pace.
It began with the opening keynote, which asked the question: “The world of Artificial Intelligence is exhilarating and often exhausting, and the pace of innovation can seem impossible to keep up with. This means that new approaches are needed to manage and protect data access and govern AI inputs and outputs and safely deliver AI value.
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. Explore differing AI operating models to find the one that best suits their needs.
Yet, as transformative as GenAI can be, unlocking its full potential requires more than enthusiasm—it demands a strong foundation in data management, infrastructure flexibility, and governance. The Right Foundation Having trustworthy, governed data starts with modern, effective data management and storage practices.
Talk may be cheap, but when it comes to IT security, strategic conversations with colleagues, business partners, and other relevant parties can be priceless. Ongoing IT security strategy conversations should address the organization’s cyber risk and arrive at strategic objectives, Albrecht says. What would be the next steps?
At its core, AI represents the opportunity to augment people and their work, and to not only elevate productivity, but also innovate in capabilities and performance. Business and operational model innovation is necessary to adapt to today’s opportunities while also creating a culture of adaptation and innovation for the coming waves.
The implications of the ongoing misperception about the data management needs of AI are huge, Armstrong adds. Organizations ready for AI should be able to automate some of the data management work, he says. Data hygiene, data quality, and data security are all topics that weve been talking about for 20 years, Peterson says.
Nine of 10 CIOs surveyed by Gartner late last year expressed concerns that managing AI costs was limiting their ability to get value from AI. In May, electronic design automation firm Synopsys announced a sale of its security testing software business for $2.1
How will organizations wield AI to seize greater opportunities, engage employees, and drive secure access without compromising data integrity and compliance? While it may sound simplistic, the first step towards managing high-quality data and right-sizing AI is defining the GenAI use cases for your business.
“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.
Despite these opportunities, Tencent Cloud faces challenges from competitors, requiring a careful balancing act between innovation and market adaptability. AI-driven initiatives across key sectors AI is becoming a vital driver of digital transformation, improving operational efficiency, cost management, and productivity.
It is the central ingredient needed to drive underwriting processes, determine accurate pricing, manage claims, and drive customer engagement. Data is the lifeblood of the modern insurance business. There are lots of reasons for this. Building a Center of Excellence to Drive the Project : Data modernization cannot be a side job.
In a world where technology increasingly shapes how cities manage safety and security, Kazakhstans Ministry of Internal Affairs is leading the way with its groundbreaking Carpet CCTV project. million traffic violations , resulting in significant improvements in public safety and road management.
IT managers are often responsible for not just overseeing an organization’s IT infrastructure but its IT teams as well. To succeed, you need to understand the fundamentals of security, data storage, hardware, software, networking, and IT management frameworks — and how they all work together to deliver business value.
As organisations adjust to managing remote and hybrid teams, supporting digital transformation, and navigating an uncertain and volatile global economy, they face an ever-expanding landscape of vulnerabilities and increasing risk. The volume of security incidents has increased in the past year for 61% of organisations.
Technology has shifted from a back-office function to a core enabler of business growth, innovation, and competitive advantage. Senior business leaders and CIOs must navigate a complex web of competing priorities, such as managing stakeholder expectations, accelerating technological innovation, and maintaining operational efficiency.
The challenges don’t end once those requirements are met, as the project teams need to secure executive buy-in, which may be hindered by resistance to new technologies. A cloud-first approach ensures better data security, compliance with regulations, and scalability for AI-driven innovation,” says Domingues.
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. In revenue management, for example, AI is streamlining processes like prior authorizations.
Dubai, a global leader in innovation and smart city development, is positioning itself as a pioneer in artificial intelligence implementation. A core aspect of Dubai’s AI strategy is ensuring the security of AI systems, and the Dubai Electronic Security Center is at the forefront of these efforts.
One Identity named Hot Company: Privileged Access Management (PAM) in 12th Cyber Defense Magazines Annual InfoSec Awards during CyberDefenseCon 2024. This award highlights the role One Identity has in advancing privileged access management through solutions including Safeguard, Safeguard On Demand, and PAM Essentials.
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.
While some welcome guardrails for the correct use of AI tools , others warn of a bureaucratic monster associated with it and fear that the rules could slow down further innovation. The AI Act offers the opportunity to protect against the negative effects of artificial intelligence and at the same time to promote innovation.
In the early 2000s, Google made headlines for its PhD army – essentially highly skilled experts, ranging from a former rocket science to a former brain surgeon, who were dispersed throughout the business to support its innovation. At the time, they were effectively charged to “boldly go where no one has gone before”.
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