This site uses cookies to improve your experience. To help us insure we adhere to various privacy regulations, please select your country/region of residence. If you do not select a country, we will assume you are from the United States. Select your Cookie Settings or view our Privacy Policy and Terms of Use.
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Used for the proper function of the website
Used for monitoring website traffic and interactions
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Strictly Necessary: Used for the proper function of the website
Performance/Analytics: Used for monitoring website traffic and interactions
Here are 10 questions CIOs, researchers, and advisers say are worth asking and answering about your organizationsAI strategies. What are we trying to accomplish, and is AI truly a fit? Otherwise, organizations can chase AI initiatives that might technically work but wont generate value for the enterprise.
With advanced technologies like AI transforming the business landscape, IT organizations are struggling to find the right talent to keep pace. The problem isnt just the shortage of qualified candidates; its the lack of alignment between the skills available in the workforce and the skills organizations need.
Shift AI experimentation to real-world value GenerativeAI dominated the headlines in 2024, as organizations launched widespread experiments with the technology to assess its ability to enhance efficiency and deliver new services. Most of all, the following 10 priorities should be at the top of your 2025 to-do list.
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. But the CIO had several key objectives to meet before launching the transformation.
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. But the CIO had several key objectives to meet before launching the transformation.
And according to a survey conducted for the 2024 Women in Tech Report by Skillsoft , 31% of women technologists are considering leaving their organizations in the coming 12 months, with 37% considering switching jobs in the next year and only 27% of women in tech saying they were extremely satisfied with their jobs.
This role is no longer confined to technical oversight or incremental operational improvements. A well-rounded leader in this capacity must do more than keep the lights on digitally; they define the very contours of how the organization engages its customers, develops internal talent, and monetizes digital assets.
In the rapidly evolving world of generativeAI image modeling, prompt engineering has become a crucial skill for developers, designers, and content creators. Understanding the Prompt Structure Prompt engineering is a valuable technique for effectively using generativeAI image models. The higher weight (>1.0)
As an industry analyst Katie spends her life working with and advising senior IT decision makers around technologies such as agentic AI, sharing her deep domain expertise. See also: Can AI solve your technical debt problem? ) Helping CIOs separate those two tracks is often the first step toward a practical AI strategy.
GenerativeAI is changing the world of work, with AI-powered workflows now slated to streamline customer service, employee experience, IT, and other fields. One report estimates that 4,000 positions were eliminated by AI in May alone. Her point is that AI or generativeAI isn’t a silver bullet.
The IT industry has a long history of vendors exaggerating the functionality of their products, and it’s certainly happening in the current AI hype cycle. Now, even user companies appear to be overstating their AI capabilities, potentially leading to major headaches.
Leveraging technologies, such as generativeAI and analytics, promises to make data both more meaningful and more rapidly available in the right context. For her part, Daly is planning to keep pace with, and capitalize on, modest innovation initiatives while maintaining operations and continuing to reduce technical debt. “As
With emerging technologies like Gen-AI keeping organizations in a flurry of new implementations, a rapidly shifting CIO role, new innovations testing budgets and adaptability of organizations and increasing competition, a competent CIO is the ace that can change the game.
1 - CSA: How to prevent “shadow AI” As organizations scale up their AI adoption, they must closely track their AI assets to secure them and mitigate their cyber risk. This includes monitoring the usage of unapproved AI tools by employees — an issue known as “shadow AI.” To help prevent such episodes, U.S.
Now, with the advent of large language models (LLMs), you can use generativeAI -powered virtual assistants to provide real-time analysis of speech, identification of areas for improvement, and suggestions for enhancing speech delivery. The generativeAI capabilities of Amazon Bedrock efficiently process user speech inputs.
As a result, organizations such as TE Connectivity are launching internal training programs to reskill IT and other employees about AI. Such programs, IT and HR leaders believe, will give their organizations added benefits that a hiring-heavy approach to AI needs isn’t likely to provide.
And online education company Pluralsight conducted a survey of IT professionals in the US and UK and found that 74% worried AI tools will make many of their daily skills obsolete. For the rest, gen AI will greatly augment the power and value of the role of the CIO, he says. But their role isn’t going away.
Without revenue from sales of products or services, a business becomes little more than a hobby or a charitable organization. Is your IT organization doing all it can to help sales team members build and retain customers? To find the answer, consider the following ways IT can help ensure the sales organization is primed for success.
Todays CDO is focused on helping the organization leverage data as a business asset to drive outcomes. When your value is not felt or understood, you are subject to changes in financial and political winds, and your ability to contribute to a high-performing organization will be limited, Voorhees says.
However, these approaches demand advanced AI expertise, high performance compute, fast storage access and can be prohibitively expensive for many organizations. We discuss how these powerful tools enable organizations to optimize compute resources and reduce the complexity of model training and fine-tuning.
In the rush to establish technical strategies for making good on the promise of generativeAI, many CIOs find themselves running headlong into what may be their most challenging task yet: preparing their organization’s end-users — from knowledge workers and assembly line laborers to doctors, accountants, and lawyers — to co-exist with generativeAI.
But on the other hand, AI and generativeAI in particular, as well as the speed at which intelligence barreled its way into organizations, have disrupted many IT plans, says Taglienti, chief data officer and distinguished engineer at tech firm Insight. “It
Innovation, however, is not easy, as CIOs, their IT teams, and their organizations face plenty of obstacles that can slow or stop progress. Legacy tech and all that goes with it Legacy systems and technical debt top the list of common innovation roadblocks. That runway is missing in a lot of organizations.
And it starts with establishing a meaningful rationale for organizing one in the first place. Enterprises should not organize hackathons because they are in vogue or because leadership hopes to achieve vaguely defined results. Tsai says developers were tasked with proposing ideas incorporating AI into their IT systems.
Amazon SageMaker , a fully managed service to build, train, and deploy machine learning (ML) models, has seen increased adoption to customize and deploy FMs that power generativeAI applications. Deploy the models as SageMaker Inference endpoints that can be consumed by generativeAI applications.
Despite those complications, a huge majority of IT leaders expect their organizations’ IT budgets to increase — at least moderately — in the next fiscal year, with IT talent and software spending leading the way. Percentage increases at most organizations will be in the single digits, however.
A host of new product and feature launches, questions about SAP’s plans for managing commitments to legacy platform customers, and the acceleration of generativeAI in popular products such as SAP RISE are just a few of the major issues enterprise SAP customers will need to keep on top of in the year ahead.
GenerativeAI has taken the world by storm and is being discussed in C-suites and boardrooms daily. While this “overnight success” has been decades in the making, we’re just now getting a glimpse of the impact and implications of generativeAI and the massive disruption that comes along with it.
This last category has received a boost as platform vendors explore the potential of generativeAI models such as ChatGPT to create boilerplate application skeletons on which developers can hang their own business logic — or even turn human-readable requirements into machine-readable code. What’s expensive is scale.”
But, notes Lobo, “in all geographies, finding well-rounded leadership and experienced technical talent in areas such as legacy technologies, cybersecurity, and data science remains a challenge.” These include not only cyber, but also cloud and generativeAI, he says. The net result? Build the bench.
In addition to AI and machine learning, data science, cybersecurity, and other hard-to-find skills , IT leaders are also looking for outside help to accelerate the adoption of DevOps or product-/program-based operating models. The complexity escalates when dealing with advanced skills like AI or data science,” says Asnani.
And now, with that cloud foundation, Cushman & Wakefield CDIO Salumeh Companieh is putting that product mindset to work to make the most of AI, including a range of generativeAI platforms aimed at improving workflow outcomes and productivity. It’s also important to start small, she advises.
Most midsize and large organizations are spending significantly on cloud capabilities. The result of all this tech activity is that organizations are putting great stock in their CIOs to be true strategic leaders — not just a member of the C-Suite, but one of its loudest voices. Showing you know how to run a tight ship is important.
All are established to help the organization meet compliance and achieve essential goals. Therefore, it’s vital to conduct a rigorous impact analysis and have rollback plans in place before proceeding,” Hyzy advises. Rules can be broad or precise, Chowning says. It should be, and usually is, a top IT priority.
Every IT organization has hidden experts. Schwarz points to generativeAI as a technology that’s suddenly leaped into the IT spotlight. Schwarz says she prizes agile team members who understand business concepts and outcomes, and who have the ability to tell a story that translates technical thoughts into business outcomes.
The General Data Protection Regulation (GDPR) right to be forgotten, also known as the right to erasure, gives individuals the right to request the deletion of their personally identifiable information (PII) data held by organizations. Who does GDPR apply to?
While some repatriations — particularly in the early days of cloud computing — resulted from failed cloud deployments, analysts and IT leaders say many repatriations today are smart moves that deliver benefits to the organization. So organizations shouldn’t close the door to either option, public cloud or a dedicated environment.”
Yet, organizations still struggle with getting it right. According to TEKsystems’ 2023 State of Digital Transformation , 41% of organizations’ digital transformation (DX) initiatives have failed to achieve their desired outcomes. They should be asking, ‘Is this the right thing to do for my organization or my company?’
Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, and Amazon through a single API, along with a broad set of capabilities to build generativeAI applications with security, privacy, and responsible AI.
Scavuzzo, who has been with Marcum for 17 years, has been reshaping the IT function and his own role for much of the decade so that his tech organization is well positioned to drive the business agenda. Our organization is depending on us to drive the business into the future,” he adds. These changes, he says, were an imperative.
Delivering for growth Today, McCullen is creating new technical foundations to ensure that adaptability, and further support ongoing business growth. Key to these efforts are advances in Century’s automation strategy and forays into generativeAI. That is rewarding and keeps our teams excited and engaged.”
To achieve that, Loura recognized the need to give up time performing the technical work he loved to do more of that decision-making. Srini Koushik, EVP and CTO, Rackspace Technology Rackspace Technology Koushik credits all his past positions for preparing him for where he is now and the AI role specifically.
And a global survey shows cyber pros weighing pros and cons of AI. 1 - Using AI securely: Global cyber agencies publish new guide Is your organization – like many others – aggressively adopting artificial intelligence to boost operational efficiency? And much more!
This blog is part of the series, GenerativeAI and AI/ML in Capital Markets and Financial Services. Traditionally, earnings call scripts have followed similar templates, making it a repeatable task to generate them from scratch each time. Consequently, the results cannot be interpreted as a mere comparison of models.
We organize all of the trending information in your field so you don't have to. Join 49,000+ users and stay up to date on the latest articles your peers are reading.
You know about us, now we want to get to know you!
Let's personalize your content
Let's get even more personalized
We recognize your account from another site in our network, please click 'Send Email' below to continue with verifying your account and setting a password.
Let's personalize your content