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Risk is inescapable. A PwC Global Risk Survey found that 75% of risk leaders claim that financial pressures limit their ability to invest in the advanced technology needed to assess and monitor risks. Yet failing to successfully address risk with an effective risk management program is courting disaster.
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. How does our AI strategy support our business objectives, and how do we measure its value?
This year saw emerging risks posed by AI , disastrous outages like the CrowdStrike incident , and surmounting software supply chain frailties , as well as the risk of cyberattacks and quantum computing breaking todays most advanced encryption algorithms. To respond, CIOs are doubling down on organizational resilience.
Third, any commitment to a disruptive technology (including data-intensive and AI implementations) must start with a business strategy. I suggest that the simplest business strategy starts with answering three basic questions: What? That is: (1) What is it you want to do and where does it fit within the context of your organization?
This comprehensive strategy mainly aims to measure and forecast potential risks associated with AI development. OpenAI, the renowned artificial intelligence research organization, has recently announced the adoption of its new preparedness framework.
We discussed already some of these cloud computing challenges when comparing cloud vs on premise BI strategies. This increases the risks that can arise during the implementation or management process. The risks of cloud computing have become a reality for every organization, be it small or large. Cost management and containment.
One of them is Katherine Wetmur, CIO for cyber, data, risk, and resilience at Morgan Stanley. Wetmur says Morgan Stanley has been using modern data science, AI, and machine learning for years to analyze data and activity, pinpoint risks, and initiate mitigation, noting that teams at the firm have earned patents in this space.
By articulating fitness functions automated tests tied to specific quality attributes like reliability, security or performance teams can visualize and measure system qualities that align with business goals. Technical foundation Conversation starter : Are we maintaining reliable roads and utilities, or are we risking gridlock?
1) What Is A Business Intelligence Strategy? 2) BI Strategy Benefits. 4) How To Create A Business Intelligence Strategy. Whether you are starting from scratch, moving past spreadsheets, or looking to migrate to a new platform: you need a business intelligence strategy and roadmap in place. Table of Contents.
Despite AI’s potential to transform businesses, many senior technology leaders find themselves wrestling with unpredictable expenses, uneven productivity gains, and growing risks as AI adoption scales, Gartner said. This creates new risks around data privacy, security, and consistency, making it harder for CIOs to maintain control.
Deloittes State of Generative AI in the Enterprise reports nearly 70% have moved 30% or fewer of their gen AI experiments into production, and 41% of organizations have struggled to define and measure the impacts of their gen AI efforts. Even this breakdown leaves out data management, engineering, and security functions.
Regardless of where organizations are in their digital transformation, CIOs must provide their board of directors, executive committees, and employees definitions of successful outcomes and measurable key performance indicators (KPIs). He suggests, “Choose what you measure carefully to achieve the desired results.
CIOs have been able to ride the AI hype cycle to bolster investment in their gen AI strategies, but the AI honeymoon may soon be over, as Gartner recently placed gen AI at the peak of inflated expectations , with the trough of disillusionment not far behind. That doesnt mean investments will dry up overnight.
Tech supply chain risks South Korea’s semiconductor ecosystem, driven by industry leaders like Samsung and SK Hynix, is a cornerstone of global technology supply chains. However, this strategy relies heavily on the political and economic stability of those nations. Samsung and SK Hynix have not responded to requests for comments.
Unfortunately, implementing AI at scale is not without significant risks; whether it’s breaking down entrenched data siloes or ensuring data usage complies with evolving regulatory requirements. Ensuring these elements are at the forefront of your data strategy is essential to harnessing AI’s power responsibly and sustainably.
The coordination tax: LLM outputs are often evaluated by nontechnical stakeholders (legal, brand, support) not just for functionality, but for tone, appropriateness, and risk. They used some local embeddings and played around with different chunking strategies. How will you measure success? Some seemed better than others.
Fragmented systems, inconsistent definitions, legacy infrastructure and manual workarounds introduce critical risks. I aim to outline pragmatic strategies to elevate data quality into an enterprise-wide capability. This challenge remains deceptively overlooked despite its profound impact on strategy and execution.
In today’s fast-paced digital environment, enterprises increasingly leverage AI and analytics to strengthen their risk management strategies. A recent panel on the role of AI and analytics in risk management explored this transformational technology, focusing on how organizations can harness these tools for a more resilient future.
CIOs perennially deal with technical debts risks, costs, and complexities. While the impacts of legacy systems can be quantified, technical debt is also often embedded in subtler ways across the IT ecosystem, making it hard to account for the full list of issues and risks.
The US has announced sweeping new measures targeting China’s semiconductor sector, restricting the export of chipmaking equipment and high-bandwidth memory. Lam Research has said on its website that its initial assessment suggests the impact of the newly announced measures on its business will align largely with its earlier expectations.
As CIO, you’re in the risk business. Or rather, every part of your responsibilities entails risk, whether you’re paying attention to it or not. There are, for example, those in leadership roles who, while promoting the value of risk-taking, also insist on “holding people accountable.” You can’t lose.
Well also examine strategies CIOs can use to address these challenges, ensuring their organizations can recognize the rewards of GenAI without compromising financial stability. These concerns emphasize the need to carefully balance the costs of GenAI against its potential benefits, a challenge closely tied to measuring ROI.
million —and organizations are constantly at risk of cyber-attacks and malicious actors. In order to protect your business from these threats, it’s essential to understand what digital transformation entails and how you can safeguard your company from cyber risks. What is cyber risk?
GRC certifications validate the skills, knowledge, and abilities IT professionals have to manage governance, risk, and compliance (GRC) in the enterprise. Enter the need for competent governance, risk and compliance (GRC) professionals. What are GRC certifications? Why are GRC certifications important?
It wasn’t just a single measurement of particulates,” says Chris Mattmann, NASA JPL’s former chief technology and innovation officer. “It It was many measurements the agents collectively decided was either too many contaminants or not.” They also had extreme measurement sensitivity. Adding smarter AI also adds risk, of course.
Unfortunately, as the world becomes more and more digital, cybersecurity risks are growing at a rapid pace. As a small business owner, this means that you and your business could be at risk of being attacked this very second. Thankfully, becoming aware of the risks out there can help you safeguard your business and mitigate your risks.
However, the increasing integration of AI and IoT into everyday operations also brings new risks, including the potential for cyberattacks on interconnected devices, data breaches, and vulnerabilities within complex networks. Securing these technologies is paramount in a region where digital infrastructure is critical to national development.
Most enterprises are committed to a digital strategy and looking for ways to improve the productivity of their workforce. This has spurred interest around understanding and measuring developer productivity, says Keith Mann, senior director, analyst, at Gartner.
However, this enthusiasm may be tempered by a host of challenges and risks stemming from scaling GenAI. Optimizing GenAI with data management More than ever, businesses need to mitigate these risks while discovering the best approach to data management. That’s why many enterprises are adopting a two-pronged approach to GenAI.
Every enterprise needs a data strategy that clearly defines the technologies, processes, people, and rules needed to safely and securely manage its information assets and practices. Here’s a quick rundown of seven major trends that will likely reshape your organization’s current data strategy in the days and months ahead.
million in 2024 1 – and thus take the necessary steps to reduce cyber risk. Defense in depth How the CSP attracts, trains, and retains security professionals is certainly an issue to raise when vetting providers, along with the company’s overall security strategy. Adherence to a defense-in-depth strategy should be front and center.
Technical sophistication: Sophistication measures a team’s ability to use advanced tools and techniques (e.g., Technical competence: Competence measures a team’s ability to successfully deliver on initiatives and projects. Technical competence results in reduced risk and uncertainty.
A look at how guidelines from regulated industries can help shape your ML strategy. After the 2008 financial crisis, the Federal Reserve issued a new set of guidelines governing models— SR 11-7 : Guidance on Model Risk Management. Note that the emphasis of SR 11-7 is on risk management.). Sources of model risk.
For CISOs to succeed in this unprecedented security landscape, they must balance these threats with new approaches by performing continuous risk assessments, protecting digital assets, and managing the rapid pace of innovation in security technologies. How do we CISOs adapt our strategies today?
The risks and opportunities of AI AI is opening a new front in this cyberwar. These measures mandate that healthcare organisations adequately protect patient data, and that notification must be given in the event of a data breach. Are you ready to put AI at the heart of your data protection strategy? Generative AI
Organizations are under pressure to demonstrate commitment to an actionable sustainability strategy to meet regulatory obligations and to build positive market sentiment. We examine the opportunity to lead both risk mitigation and value creation by helping advance the enterprise sustainability strategy.
The time required to familiarize oneself with the requirements and consequences of the various laws and to develop and roll out your organizations strategies and solutions should also not be underestimated. Develop a compliance strategy Companies should first develop the strategic direction of the compliance organization.
An operationalized carbon-neutral strategy requires end-to-end visibility on climate data. Pursuing measurable results: Success with environmental sustainability requires making the organizational and cultural changes necessary to succeed and realize the potential financial and non-financial benefits.
Gartner’s prediction that CIOs can underestimate AI costs by 1,000% should be a wake-up call to CIOs to figure out how to measure and prioritize the AI projects that can provide value , Miller says. In many cases, small wins that show quick value may be a better bet than huge, high-risk projects, Miller advises.
Although some continue to leap without looking into cloud deals, the value of developing a comprehensive cloud strategy has become evident. Without a clear cloud strategy and broad leadership support, even value-adding cloud investments may be at risk. There are other risks, too. Why are we really going to cloud?
SpyCloud , the leading identity threat protection company, today released its 2025 SpyCloud Annual Identity Exposure Report , highlighting the rise of darknet-exposed identity data as the primary cyber risk facing enterprises today. SpyClouds collection of recaptured darknet data grew 22% in the past year , now encompassing more than 53.3
While tech debt refers to shortcuts taken in implementation that need to be addressed later, digital addiction results in the accumulation of poorly vetted, misused, or unnecessary technologies that generate costs and risks. million machines worldwide, serves as a stark reminder of these risks.
Rapid advancements in artificial intelligence (AI), particularly generative AI are putting more pressure on analytics and IT leaders to get their houses in order when it comes to data strategy and data management. If you go out and ask a chief data officer, a head of IT, ‘Is your data strategy aligned?’, I need to know my forecast.
Let’s get started with a comprehensive cybersecurity strategy for your small business. The first step of a well-planned cybersecurity strategy is identifying the avenues of attack in your system. Before prioritizing your threats, risks, and remedies, determine the rules and regulations that your company is obliged to follow.
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