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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.
This approach delivers substantial benefits: consistent execution, lower costs, better security, and systems that can be maintained like traditional software. This translates to higher costs and slower response times. Security Letting LLMs make runtime decisions about business logic creates unnecessary risk.
It’s difficult to argue with David Collingridge’s influential thesis that attempting to predict the risks posed by new technologies is a fool’s errand. However, there is one class of AI risk that is generally knowable in advance. We ought to heed Collingridge’s warning that technology evolves in uncertain ways.
This approach will help businesses maximize the benefits of agentic AI while mitigating risks and ensuring responsible deployment. With AI agents poised to take over significant portions of enterprise workflows, IT leaders will be faced with an increasingly complex challenge: managing them.
Speaker: Donna Laquidara-Carr, PhD, LEED AP, Industry Insights Research Director at Dodge Construction Network
In today’s construction market, owners, construction managers, and contractors must navigate increasing challenges, from cost management to project delays. Fortunately, digital tools now offer valuable insights to help mitigate these risks. That’s where data-driven construction comes in.
CIOs are under increasing pressure to deliver meaningful returns from generative AI initiatives, yet spiraling costs and complex governance challenges are undermining their efforts, according to Gartner. hours per week by integrating generative AI into their workflows, these benefits are not felt equally across the workforce.
One of the world’s largest risk advisors and insurance brokers launched a digital transformation five years ago to better enable its clients to navigate the political, social, and economic waves rising in the digital information age.
So for all its vaunted benefits to efficiency, gen AI doesn’t always reduce workloads. And we’re at risk of being burned out.” JP Morgan Chase president Daniel Pinto says the bank expects to see up to $2 billion in value from its AI use cases, up from a $1.5 billion estimate in May.
3) Cloud Computing Benefits. It provides better data storage, data security, flexibility, improved organizational visibility, smoother processes, extra data intelligence, increased collaboration between employees, and changes the workflow of small businesses and large enterprises to help them make better decisions while decreasing costs.
Below, I recap my virtual event conversation with two IT leaders, who shared their first-hand experience of the benefits that BMC Helix solutions have delivered in respective use cases. What if artificial intelligence (AI) could prevent 1,000 potential outages and improve IT service health and delivery by more than 75%?
One of the world’s largest risk advisors and insurance brokers launched a digital transformation five years ago to better enable its clients to navigate the political, social, and economic waves rising in the digital information age.
Call it survival instincts: Risks that can disrupt an organization from staying true to its mission and accomplishing its goals must constantly be surfaced, assessed, and either mitigated or managed. While security risks are daunting, therapists remind us to avoid overly stressing out in areas outside our control.
But many enterprises have yet to start reaping the full benefits that AIOps solutions provide. Understanding the root cause of issues is one situational benefit of AIOps. Research respondents believe AI will positively impact IT complexity and improve business outcomes. Beneath the surface, however, are some crucial gaps.
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.
This year, many CIOs have focused on getting AI prototypes up and running without fully considering the long-term operating costs , he says. Gartner recently estimated that organizations that don’t understand how their generative AI costs scale could make a 500% to 1,000% calculation error, he notes. That’s not where you want to be.”
From AI models that boost sales to robots that slash production costs, advanced technologies are transforming both top-line growth and bottom-line efficiency. The takeaway is clear: embrace deep tech now, or risk being left behind by those who do. Crucially, the time and cost to implement AI have fallen.
Through needs-based shoring, the company can benefit from additional efficiency gains. With the Digital Agenda , the European Union is creating clear and uniform rules for the responsible use of data and artificial intelligence. In this context, clear responsibilities lie primarily with IT, legal, compliance and data protection departments.
CIOs were given significant budgets to improve productivity, cost savings, and competitive advantages with gen AI. CIOs feeling the pressure will likely seek more pragmatic AI applications, platform simplifications, and risk management practices that have short-term benefits while becoming force multipliers to longer-term financial returns.
It also has the benefit that as underlying AI costs drop over time service providers can extract more margin for this work. It also has the benefit that as underlying AI costs drop over time service providers can extract more margin for this work. Generally, its a fair trade for the customer and provider.
To fully benefit from AI, organizations must take bold steps to accelerate the time to value for these applications. Operational AI offers organizations significant benefits, including time and cost savings, and critical competitive advantages in today’s business landscape. This is where Operational AI comes into play.
There are risks around hallucinations and bias, says Arnab Chakraborty, chief responsible AI officer at Accenture. The next evolution of AI has arrived, and its agentic. AI agents are powered by the same AI systems as chatbots, but can take independent action, collaborate to achieve bigger objectives, and take over entire business workflows.
It also highlights the downsides of concentration risk. What is concentration risk? Looking to the future, IT leaders must bring stronger focus on “concentration risk”and how these supply chain risks can be better managed. In layman’s terms, it simply means putting all your eggs in one basket.
As a consequence, these businesses experience increased operational costs and find it difficult to scale or integrate modern technologies. Maintaining, updating, and patching old systems is a complex challenge that increases the risk of operational downtime and security lapse.
Travel and expense management company Emburse saw multiple opportunities where it could benefit from gen AI. Both types of gen AI have their benefits, says Ken Ringdahl, the companys CTO. Another benefit is that with open source, Emburse can do additional model training. Its possible to opt-out, but there are caveats.
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.
While CIOs understand the crushing weight of technical debt — now costing US companies $2.41 The more strategic concern isn’t just the cost— it’s that technical debt is affecting companies’ abilities to create new business, and saps the means to respond to shifting market conditions. You’re not alone.
This is the easiest way to start benefiting from AI without needed the skills to develop your own models and applications.” For the global risk advisor and insurance broker that includes use cases for drafting emails and documents, coding, translation, and client research. Only 13% plan to build a model from scratch.
Despite these limitations and concerns among CIOs over AI costs, real progress has been made this year and we can expect to see this grow further in 2025. Assuming a technology can capture these risks will fail like many knowledge management solutions did in the 90s by trying to achieve the impossible.
An average business user and cross-departmental communication will increase its effectiveness, decreasing time to make actionable decisions and, consequently, provide a cost-effective solution. In our cutthroat digital age, the importance of setting the right data analysis questions can define the overall success of a business.
That includes maintenance and upgrades deferred in favor of other projects or priorities, which can result in high future costs when those actions can no longer by avoided, often when a solution reaches end-of-life. Here’s where CIOs can rethink their approach to the long-term benefit of their organizations.
“ On peut interroger n’importe qui, dans n’importe quel état; ce sont rarement les réponses qui apportent la vérité, mais l’enchaînement des questions. “ “ You can interrogate anyone, no matter what their state of being. “ – Inspector Pastor in La Fée Carabine, by Daniel Pennac. And that’s fine.
Organizations that deploy AI to eliminate middle management human workers will be able to capitalize on reduced labor costs in the short-term and long-term benefits savings,” Gartner stated. “AI New security and risk solutions will be necessary as AI agents significantly increase the already invisible attack surface at enterprises.
AI Benefits and Stakeholders. AI is a field where value, in the form of outcomes and their resulting benefits, is created by machines exhibiting the ability to learn and “understand,” and to use the knowledge learned to carry out tasks or achieve goals. AI-generated benefits can be realized by defining and achieving appropriate goals.
Research from Gartner, for example, shows that approximately 30% of generative AI (GenAI) will not make it past the proof-of-concept phase by the end of 2025, due to factors including poor data quality, inadequate risk controls, and escalating costs. [1] AI in action The benefits of this approach are clear to see.
Those customers should be evaluating if, when and how they will tap into the benefits that AI and GenAI can provide to improve operational and financial performance. With a perception of limited or no benefit, not taking any action can appear attractive and may be the right choice.
But alongside its promise of significant rewards also comes significant costs and often unclear ROI. For CIOs tasked with managing IT budgets while driving technological innovation, balancing these costs against the benefits of GenAI is essential.
Wei also noted that chemical supply costs in the US are substantially higher, citing the need to ship sulfuric acid from Taiwan to Los Angeles and then transport it to Arizona by truck. Supply chain constraints, such as higher material costs and logistical challenges, further increase expenses.
The results can be used to uncover the source of bottlenecks, delays, unseen risks and unnecessary workloads that, in turn, allows organizations to institute improvements. I recently attended Infor’s Velocity Summit , designed to showcase the latest versions of its CloudSuite ERP software. It also offered a chatbot that utilized Amazon Lex.
But this kind of virtuous rising tide rent, which benefits everyone, doesn’t last. Why is it that Google, a company once known for its distinctive “Do no evil” guideline, is now facing the same charges of “surveillance capitalism” as Facebook, a company that never made such claims? What Is Economic Rent?
Developing and deploying successful AI can be an expensive process with a high risk of failure. How can CIOs deliver accurate, trustworthy AI without the energy costs and carbon footprint of a small city? Train overnight when data center demand is low for better performance and lower costs. But do be careful.
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. Why are GRC certifications important? Is GRC certification worth it?
Bogdan Raduta, head of AI at FlowX.AI, says, Gen AI holds big potential for efficiency, insight, and innovation, but its also absolutely important to pinpoint and measure its true benefits. That gives CIOs breathing room, but not unlimited tether, to prove the value of their gen AI investments.
The previous state-of-the-art sensors cost tens of thousands of dollars, adds Mattmann, who’s now the chief data and AI officer at UCLA. Adding smarter AI also adds risk, of course. “At The big risk is you take the humans out of the loop when you let these into the wild.” And, yes, enterprises are already deploying them.
Our experiments are based on real-world historical full order book data, provided by our partner CryptoStruct , and compare the trade-offs between these choices, focusing on performance, cost, and quant developer productivity. Data management is the foundation of quantitative research.
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