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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. Balancing modernization in a complex regulatory landscape Modernization is essential, and organizations that put off doing so risk getting left behind. PCI DSS v4.0).
It has become a strategic cornerstone for shaping innovation, efficiency and compliance. For example, AI can perform real-time data quality checks flagging inconsistencies or missing values, while intelligent query optimization can boost database performance. In 2025, data management is no longer a backend operation.
Today, data sovereignty laws and compliance requirements force organizations to keep certain datasets within national borders, leading to localized cloud storage and computing solutions just as trade hubs adapted to regulatory and logistical barriers centuries ago.
IT modernization is a necessity for organizations aiming to stay competitive. Organizations often struggle to justify the upfront costs of modernization projects, especially when the ROI is not immediately apparent. Solution: To address budget constraints, organizations should adopt a strategic approach to funding IT modernization.
An organization’s data is copied for many reasons, namely ingesting datasets into data warehouses, creating performance-optimized copies, and building BI extracts for analysis. Read this whitepaper to learn: Why organizations frequently end up with unnecessary data copies.
It provides CIOs a roadmap to align these technologies with their organizations’ ESG goals. These frameworks extend beyond regulatory compliance, shaping investor decisions, consumer loyalty and employee engagement. This challenges organizations seeking to balance technological innovation with their environmental sustainability goals.
Data architecture definition Data architecture describes the structure of an organizations logical and physical data assets, and data management resources, according to The Open Group Architecture Framework (TOGAF). An organizations data architecture is the purview of data architects. Curate the data. Optimize data flows for agility.
Navigator: As technology landscapes and market dynamics change, enterprise architects help businesses navigate through complexity and uncertainty, ensuring that the organization remains on course despite evolving challenges. enterprise architects ensure systems are performing at their best, with mechanisms (e.g.
As organizations continue their digital transformation (DX) journeys, the role of the CIO evolves. As digital transformation becomes a critical driver of business success, many organizations still measure CIO performance based on traditional IT values rather than transformative outcomes.
And for some organizations, annual cloud spend has increased dramatically. The reasons include higher than expected costs, but also performance and latency issues; security, data privacy, and compliance concerns; and regional digital sovereignty regulations that affect where data can be located, transported, and processed.
VPN technologies have long been the backbone of remote access, but according to new ThreatLabz research, the security risks and performance challenges of VPNs may be rapidly changing the status quo for enterprises. Overall, 65% of organizations plan to replace VPN services within the year, a 23% jump from last years findings.
Data silos, lack of standardization, and uncertainty over compliance with privacy regulations can limit accessibility and compromise data quality, but modern data management can overcome those challenges. It enables organizations to efficiently derive real-time insights for effective strategic decision-making.
Procurement Takes Too Long, Slowing Innovation The Challenge: Traditional IT procurement cycles average three to six months, delaying critical projects and threatening your organizations competitive edge. See also: How to know a business process is ripe for agentic AI. )
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. Is your organization overdue for an IT systems update? Here are seven signs it may be time to modernize.
Effective IT strategy requires not just technical expertise but a focus on adaptability and customer-centricity, enabling organizations to stay ahead in a fast-changing marketplace. Technologies that enhance employee productivity or enable better collaboration across partner ecosystems are vital in boosting overall business performance.
What is needed is a single view of all of my AI agents I am building that will give me an alert when performance is poor or there is a security concern. If agents are using AI and are adaptable, youre going to need some way to see if their performance is still at the confidence level you want it to be, says Gartners Coshow.
Mitigating infrastructure challenges Organizations that rely on legacy systems face a host of potential stumbling blocks when they attempt to integrate their on-premises infrastructure with cloud solutions. Software limitations are another concern, especially when it comes to scaling AI and data-intensive workloads. “A
Virtually every company relied on cloud, connectivity, and security solutions, but no technology organization provided all three. These ensure that organizations match the right workloads and applications with the right cloud. Orsini also stresses that every organization’s optimal cloud journey is unique. “We
GRC certifications validate the skills, knowledge, and abilities IT professionals have to manage governance, risk, and compliance (GRC) in the enterprise. With companies increasingly operating on a global scale, it can require entire teams to stay on top of all the regulations and compliance standards arising today.
Gartner’s top predictions for 2025 are as follows: Through 2026, 20% of organizations will use AI to flatten their organizational structure, eliminating more than half of current middle management positions. AI has the capability to perform sentiment analysis on workplace interactions and communications.
Business leaders may be confident that their organizations data is ready for AI, but IT workers tell a much different story, with most spending hours each day massaging the data into shape. Successful pilot projects or well-performing algorithms may give business leaders false hope, he says.
Despite the huge promise surrounding AI, many organizations are finding their implementations are not delivering as hoped. With AI now incorporated into this trail, automation can ensure compliance, trust and accuracy critical factors in any industry, but especially those working with highly sensitive data.
Shift AI experimentation to real-world value Generative AI dominated the headlines in 2024, as organizations launched widespread experiments with the technology to assess its ability to enhance efficiency and deliver new services. He advises beginning the new year by revisiting the organizations entire architecture and standards.
GitHub’s new solution addresses long-standing concerns for organizations operating under strict regulations, particularly in highly regulated sectors like finance, healthcare, and industries managing sensitive intellectual property. As a by-product, it will support compliance.”
Generative AI can revolutionize organizations by enabling the creation of innovative applications that offer enhanced customer and employee experiences. Operating model patterns Organizations can adopt different operating models for generative AI, depending on their priorities around agility, governance, and centralized control.
This could provide both cost savings and performance improvements. Our Databricks Practice holds FinOps as a core architectural tenet, but sometimes compliance overrules cost savings. With a soft delete, deletion vectors are marked rather than physically removed, which is a performance boost. What Are Deletion Vectors?
It represents a strategic push by countries or regions to ensure they retain control over their AI capabilities, align them with national values, and mitigate dependence on foreign organizations. This ensures data privacy, security, and compliance with national laws, particularly concerning sensitive information.
By not transforming to a more current state and failing to innovate based on anticipated future needs, CIOs may be exposing their organizations to greater vulnerabilities and competitive disadvantages,” says Kate O’Neill, an executive advisor and emerging tech analyst, and author of the forthcoming book What Matters Next.
With the increasing sophistication of cyber threats and the accelerated pace of digital transformation, organizations must be more proactive in identifying and mitigating risks. CIOs must tie resilience investments to tangible outcomes like data protection, regulatory compliance, and AI readiness.
Our mental models of what constitutes a high-performance team have evolved considerably over the past five years. Pre-pandemic, high-performance teams were co-located, multidisciplinary, self-organizing, agile, and data-driven. What is a high-performance team today?
Once the province of the data warehouse team, data management has increasingly become a C-suite priority, with data quality seen as key for both customer experience and business performance. But along with siloed data and compliance concerns , poor data quality is holding back enterprise AI projects.
Next, clean and organize the raw data. Features like time-travel allow you to review historical data for audits or compliance. It addresses fundamental challenges in data quality, versioning and integration, facilitating the development and deployment of high-performance GenAI models. Silver layer: Clean and standardize.
They call it the first evaluation framework for determining compliance with the AI Act. Other model makers are also urged to request evaluations of their models’ compliance. “We Model makers could also face large fines if found not in compliance. Models are judged on a scale from 0 (no compliance at all) to 1 (full compliance).
Unlike previous hardware refresh cycles, AI PCs represent a foundational shift in how businesses operateleveraging AI to create smarter, more efficient, and agile organization. Beyond compliance, AI PCs empower businesses to customize security and privacy measures in ways cloud-based solutions cannot.
This requires re-wiring the DNA of the organization and creating a high-performance team that believes in the art of possible. We have a platform value goal and technology goals for reliability, stability, and compliance. Ingram Micro doesnt manufacture anything. How did you manage that shift in incentives?
With a wide range of services, including virtual machines, Kubernetes clusters, and serverless computing, Azure requires advanced management strategies to ensure optimal performance, enhanced security, and cost efficiency. Tools like Azure Resource Manager (ARM) or Terraform can help organizations achieve this balance seamlessly.
As one of the most sought-after skills on the market right now, organizations everywhere are eager to embrace AI as a business tool. While many have performed this move, they still need professionals to stay on top of cloud services and manage large datasets.
Much like finance, HR, and sales functions, organizations aim to streamline cloud operations to address resource limitations and standardize services. Enterprise IT struggles to keep up with siloed technologies while ensuring security, compliance, and cost management.
This solution is designed to accelerate platform modernization, streamline workflow assessment and enable data discovery, helping organizations drive efficiency, scalability and compliance, said Swati Malhotra, AI solutions leader at EXL. AI can help organizations adapt to these shifts.
Organizations in this field lead the charge in adopting cutting-edge architectures like hybrid clouds, microservices, and DevSecOps practices. A Network Security Policy Management (NSPM) platform like FireMon offers a tailored solution, enabling technology organizations to streamline operations, ensure compliance, and reduce risk.
In addition, CISA has added “Addressing CISA-identified cybersecurity vulnerabilities” to the list of performance measures it will collect through the duration of the program. The ready availability of this data in Tenable products can help agencies meet the SLCGP performance measures.
It is now a critical issue that demands the attention of board members and every department within an organization. The panelists identified three high-risk functions that organizations in the Middle East must prioritize—credential management, vendor management, and patch management.
It enables organizations to extract valuable information from multimodal content unlocking the full potential of their data without requiring deep AI expertise or managing complex multimodal ML pipelines. It adheres to enterprise-grade security and compliance standards, enabling you to deploy AI solutions with confidence.
In todays dynamic digital landscape, multi-cloud strategies have become vital for organizations aiming to leverage the best of both cloud and on-premises environments. A prominent public health organization integrated data from multiple regional health entities within a hybrid multi-cloud environment (AWS, Azure, and on-premise).
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