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To counter such statistics, CIOs say they and their C-suite colleagues are devising more thoughtful strategies. Here are 10 questions CIOs, researchers, and advisers say are worth asking and answering about your organizations AI strategies. Is our AI strategy enterprise-wide? What ROI will AI deliver?
In a world where business, strategy and technology must be tightly interconnected, the enterprise architect must take on multiple personas to address a wide range of concerns. With hybrid on-prem and cloud-deployed solutions and differences of capability and alignment between organizations and their suppliers, this can be a real challenge!
For this reason, the AI Act is a very nuanced regulation, and an initiative like the AI Pact should help companies clarify its practical application because it brings forward compliance on some key provisions. Inform and educate and simplify are the key words, and thats what the AI Pact is for. The Pact is structured around two pillars.
In our fast-changing digital world, it’s essential to sync IT strategies with business objectives for lasting success. 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.
Unfortunately, data replication, transformation, and movement can result in longer time to insight, reduced efficiency, elevated costs, and increased security and compliance risk. Read this whitepaper to learn: Why organizations frequently end up with unnecessary data copies.
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).
In response, traders formed alliances, hired guards and even developed new paths to bypass high-risk areas just as modern enterprises must invest in cybersecurity strategies, encryption and redundancy to protect their valuable data from breaches and cyberattacks. Theft and counterfeiting also played a role.
Robert Kramer, VP and principal analyst at Moor Insights & Strategy, described the offering as strategic. The goal, said Kramer, is to reduce risks, security vulnerabilities, and compliance challenges tied to outdated systems. The reality is that as you grow linearly, the complexity of your organization can grow exponentially.
As organizations increasingly migrate to the cloud, however, CIOs face the daunting challenge of navigating a complex and rapidly evolving cloud ecosystem. An enterprise with a strong global footprint is better off pursuing a multi-cloud strategy. The journey I propose is in five phases through the lens of a crawl-walk-run framework.
The DHS compliance audit clock is ticking on Zero Trust. You’ll hear where peer organizations are currently with their Zero Trust initiatives, how they are securing funding, and the realities of the timelines imposed. Government agencies can no longer ignore or delay their Zero Trust initiatives.
The move builds on the UAEs AI strategy launched in 2017 and its early decision to appoint the worlds first Minister of Artificial Intelligence, Omar Sultan Al Olama. Its a bold move that could reshape how governments and businesses think about regulation, compliance, and the future of legal systems. billion in 2024 to $3.5
IT modernization is a necessity for organizations aiming to stay competitive. Here, we explore the key factors impeding IT modernization and provide recommendations to overcome them (with real-world illustrations of strategies). Many organizations lack the expertise required to implement and manage modern IT solutions.
The demand for ESG initiatives has become an integral part of a company’s strategy for long-term success, offering a promising future for those who embrace them. It provides CIOs a roadmap to align these technologies with their organizations’ ESG goals.
It has become a strategic cornerstone for shaping innovation, efficiency and compliance. Data masking for enhanced security and privacy Data masking has emerged as a critical pillar of modern data management strategies, addressing privacy and compliance concerns.
To keep ahead of the curve, CIOs should continuously evaluate their business and technology strategies, adjusting them as necessary to address rapidly evolving technology, business, and economic practices. He advises beginning the new year by revisiting the organizations entire architecture and standards.
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.
An evolving regulatory landscape presents significant challenges for enterprises, requiring them to stay ahead of complex, shifting requirements while managing compliance across jurisdictions. Ensuring these elements are at the forefront of your data strategy is essential to harnessing AI’s power responsibly and sustainably.
However, as more organizations rely on these applications, the need for enterprise application security and compliance measures is becoming increasingly important. Breaches in security or compliance can result in legal liabilities, reputation damage, and financial losses.
Recognizing this, INE Security is launching an initiative to guide organizations in investing in technical training before the year end. Addressing Training Budgets: Year-End Budget Scenario: It’s common for organizations to approach year-end with an unused budget designated for training.
One of the key pillars of Huawei’s cybersecurity strategy is regulatory compliance, a foundation that is crucial in the GCC, where governments are implementing stricter regulations to safeguard data privacy and protect critical infrastructure. Huawei takes pride in its compliance,” Malik explained. “We
In a recent interview with Jyoti Lalchandani, IDCs Group Vice President and Regional Managing Director for the Middle East, Turkey, and Africa (META), we explore the key trends and technologies that will shape the future of the Middle East and the challenges organizations will face in their digital transformation journey.
Data sovereignty and local cloud infrastructure will remain priorities, supported by national cloud strategies, particularly in the GCC. Adopting multi-cloud and hybrid cloud solutions will enhance flexibility and compliance, deepening partnerships with global providers. What specific use cases do you expect to become more widespread?
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.
research firm Vanson Bourne to survey 650 global IT, DevOps, and Platform Engineering decision-makers on their enterprise AI strategy. AI adoption is ubiquitous but nascent Enthusiasm for AI is strong, with 90% of organizations prioritizing it. This allows organizations to maximize resources and accelerate time to market.
Overall, 65% of organizations plan to replace VPN services within the year, a 23% jump from last years findings. Meanwhile, 96% of organizations favor a zero trust approach, and 81% plan to implement zero trust strategies within the next 12 months. Such vulnerabilities pose a central challenge.
At Northeast Grocery, this shift has enabled a fundamental redistribution of responsibility for future readiness across the organization. The second, business process transformation, is to streamline workflows through automation, which is especially important as we merge two distinct organizations.
Clearing business strategy hurdles Choosing the right technologies to meet an organization’s unique AI goals is usually not straightforward. A cloud-first approach ensures better data security, compliance with regulations, and scalability for AI-driven innovation,” says Domingues.
Its all the areas around it that have to come into alignment: the data, security, governance, the controls, and the risk, legal, and compliance departments all working together with IT functions and business leaders. That said, even as business leaders discover that implementing gen AI at scale is hard, the gains are coming.
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.
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.
To support business needs, organizations must invest in advanced AI-specific management tools that can handle dynamic workloads, ensure transparency, and maintain accountability across multicloud environments, he says. There are organizations who spend $1 million plus per year on LLM calls, Ricky wrote.
The risk of cybersecurity lapses, data breaches, and the resulting penalties for regulatory non-compliance have made it more important than ever for organizations to ensure they have a robust security framework in place. Understanding the Impact of DORA and PCI DSS 4.0 PCI DSS 4.0
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.
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. Ensure data governance and compliance.
There have long been data-driven CX strategies, but never with the autonomous power, or granular insights, that AI and new levels of predictive analytics will deliver in 2025. Governance and compliance through silos will finally be a thing of the past. Prediction #3: Superior guardrails and governance will spur innovation.
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
Successful digital chiefs combine a nuanced understanding of emerging technologies with strong commercial instincts, aligning sophisticated digital strategies with core enterprise objectives to outpace market shifts and capture new opportunities. This leaders influence also extends into talent strategy.
More than 20 years ago, data within organizations was like scattered rocks on early Earth. Data is now alive like a living organism, flowing through the companys veins in the form of ingestion, curation and product output. The choice of vendors should align with the broader cloud or on-premises strategy.
The identified scenarios where AI is used include judicial, news, medical, biometric recognition, autonomous driving, social credit, social bots and where AI is used by state organizations. However, notably absent from the code is any form of enforcement or penalty; compliance is completely voluntary.
This guide breaks down the key aspects of FISMA compliance, why it matters for businesses, the challenges organizations may face, and best practices for achieving and maintaining compliance. Understanding and overcoming common compliance challenges helps businesses streamline security efforts and avoid operational risks.
Organizations can’t afford to mess up their data strategies, because too much is at stake in the digital economy. Unfortunately, the road to data strategy success is fraught with challenges, so CIOs and other technology leaders need to plan and execute carefully.
Many IT leaders undervalue the importance of partnering closely with business peers and speaking the language of strategy and outcomes. These core leadership capabilities empower executives to navigate uncertainty, lead with empathy and foster resilience in their organizations.
Leadership must prioritize data-driven strategies across all business functions. In our case, a key priority in our data modernization effort was to move our organization from reactive to proactive decision making based on data-driven insights. That commitment must begin at the C-suite level.
In a survey from September 2023, 53% of CIOs admitted that their organizations had plans to develop the position of head of AI. According to Foundrys 2025 State of the CIO survey, 14% of organizations now employ CAIOs, with 40% of those reporting directly to the CEO and 24% to the CIO.
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