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At the same time, leaders say the industry will need colleagues who can strategize, guide, and check AI-enhanced work, while keeping in mind the business goals of their organization. Here leaders offer insights on careers that need to adapt to survive and offer tips on how to move forward.
Being a successful IT consultant requires knowing how to walk in the shoes of your IT clients and their business leaders, says Scott Buchholz,CTO of the government and public services sector practice at consulting firm Deloitte. As a result, for IT consultants, keeping the pulse of the technology market is essential.
How to protect your interests If you’ve yet to receive a renewal offer from your vendor or channel partner, there’s no time to lose. Most are being shifted toward channel partners. Not only that, but channel partners handling 2,000 or fewer licenses have themselves been shifted to a third-party provider.
trillion annually — translating this into compelling business language for the board remains a persistent challenge. When your CEO or CFO asks about the budget needed for technical debt remediation , do you find yourself struggling to justify the investment? You’re not alone.
We interviewed 16 experts across businessintelligence, UI/UX, security and more to find out what it takes to build an application with analytics at its core. No matter where you are in your analytics journey, you will learn about emerging trends and gather best practices from product experts.
But if youre reading this, theres a good chance you, your colleagues, your team, or all three are in the business of coming up with ideas for and figuring out how to deliver valuable genAI-driven experiences. how to help a child with writing). The second is what we call excellent augmentation. Learn more about DataStax.
But how do companies decide which large language model (LLM) is right for them? Today, there is hardly any way around AI. The choice is currently wider than ever, the possibilities seemingly endless.
A key question: Which business processes are actually suitable for agentic AI? Business consulting firm Deloitte predicts that in 2025, 25% of companies that use generative AI will launch agentic AI pilots or proofs of concept, growing to 50% in 2027.The
For IT leaders working in the public sector, tailoring your resume for private-sector opportunities can be challenging. That was the problem Christina Sewell, CIO at a government agency, encountered in considering next steps for her career.
In the rapidly-evolving world of embedded analytics and businessintelligence, one important question has emerged at the forefront: How can you leverage artificial intelligence (AI) to enhance your application’s analytics capabilities?
The real challenge for many companies, however, has been on how to crack this code (pun intended) that is (unsurprisingly) not accessible to everyone, and to ultimately generate that pot of gold thats critical to many companies long-term future. Some are already calling it a Sputnik moment for AI.
Flexible and hybrid working patterns are also redefining where, when and how we do our jobs; whether it’s at the office, at home, on a train or in a coffee shop, we can now work anywhere, anytime. We are experiencing a fundamental work-life shift. The way we work is developing and evolving constantly.
2024 was undoubtedly “the year of AI,” with businesses across the globe attempting to fast-track implementations. In fact, EY’s 202 4 Work Reimagined Survey found that Generative AI (GenAI) adoption skyrocketed from 22% in 2023 to 75% in 2024.
This further emphasizes the importance of multi-layered defenses, such as dual approval processes for payments and consistent employee education and training on how to spot potential threats. Keys to recovering from a BEC attack For organizations or individuals who may have inadvertently sent money to a fraudster, time is of the essence.
Oracle skills are common for database administrators, database developers, cloud architects, businessintelligence analysts, data engineers, supply chain analysts, and more. Oracle enjoys wide adoption in the enterprise, thanks to a wide span of products and services for businesses across every industry.
A cloud analytics migration project is a heavy lift for enterprises that dive in without adequate preparation. If expectations around the cost and speed of deployment are unrealistically high, milestones are missed, and doubt over potential benefits soon takes root. But this scenario is avoidable.
You can’t treat data cleaning as a one-size-fits-all way to get data that’ll be suitable for every purpose, and the traditional ‘single version of the truth’ that’s been a goal of businessintelligence is effectively a biased data set. For AI, there’s no universal standard for when data is ‘clean enough.’
Fresh research from PWC has found that CIOs are far less likely to say that the IT function is prepared for reinvention, compared to 2023. The drop is considerable: 20 percentage points in just 12 months indicates a significant loss of confidence that IT is ready to modernize.
But the challenge many executives face is that they tend to focus on how their particular area aligns with overall goals, to the exclusion of other facets of the organization. Is your IT organization doing all it can to build strong alignment with business leaders and colleagues?
Women remain underrepresented in technology roles and have, in fact, lost ground in recent decades. According to the US Department of Labor, women held 24% of positions in the computer occupations sector at the end of 2022, down from a high of 44% in 1990.
Cybersecurity consistently ranks as the top concern among CIOs worldwide, but despite the high priority they place on ensuring their environments are safe from cybercriminals and hackers, only about one-third (35%) of IT organizations have implemented a comprehensive cyber recovery plan, according to PwCs 2025 Global Digital Trust Insights report.
And people were getting subscriptions to gen AI products they didn’t know how to use. As a result, the company was paying for similar services over and over again, with each group having its own contracts, and no efficiencies from doing things at scale. There were a lot of great intentions and half-baked ideas,” he says.
Sustainability is no longer a peripheral concern but a strategic business imperative. Yet, while businesses increasingly rely on data-driven decision-making, the role of chief data officers (CDOs) in sustainability remains underdeveloped and underutilized.
The team offers ongoing guidance and detailed, regular reviews of clients security posture, as well as proprietary information on how to stay protected. Rimini Street, the global leader of third-party support for Oracle, forms a partnership with its clients and helps them identify such weaknesses.
“Simplify work by adopting and experimenting with AI technologies, ensuring that teams, processes, and governance are intentionally structured to support advancements without risking the integrity of the business or technology foundations.”
To that end, Kristen Backeberg, Director of Global ISV Partner Marketing at AWS, and Val Henderson, President and CRO at Caylent, recently sat down to discuss maybe the most important consideration around adoption: How to tailor your generative AI strategy around clear goals that can drive your organization forward.
Data Literacy: Once data is centralized and accessible across multiple different business functions, it becomes important to educate employees, ensuring they understand how to read, interpret, and act on data insights. Learn more about how to turn your data into actionable insights, visit us here.
Managing change and transformation Paolo Sicca, group CIO of manufacturing company Industria Grafica Eurostampa, is an example of how his role is evolving.
Healthcare adheres to an elevated standard. This is evident in the rigorous training required for providers, the stringent safety protocols for life sciences professionals, and the stringent data and privacy requirements for healthcare analytics software. The stakes in healthcare are higher, as errors can have life-or-death consequences.
Historically thats not how technology training has been approached, he adds. In the past, IT would arrange for training sessions, where workers learned how to use new systems. The historical role of IT leaders is to ask, What does the business want and how can I help them. Thats why DiLorenzo advises CIOs to lead the way.
End-users need to understand how to use the technology productively. The correct answer is when all users know how to use the app to create value. Putting technology in the hands of end-users is not enough. Many CIOs recount misunderstandings among staff regarding when IT’s job is done. Wrong answer.
Theyll also need clear documentation on how to monitor and report on token usage, and how to monitor and display historical inquiries, AI agent and security performance, and integration with other systems.
On the other hand, they must look to the future state of the business with an eye toward innovation and investment in new technologies like artificial intelligence (AI).
AI doesnt just optimizeit enables businesses to orchestrate intelligence across the value chain, unlocking new synergies, competitive advantages, and future-ready capabilities. Maybe you have ideas about how to improve your work and realize that AI can help you create new no-code solutions to save time and effort in how you work.
Deep understanding of how to monetize data assets IT leaders aren’t just tech wizards, but savvy data merchants. IT leaders must provide wise counsel on strategic deployment, ensuring that these technologies are integrated thoughtfully and effectively.
There is, he said, “almost a desire for some lawmaking, so that people know how to go about doing this, what is expected from them, but also that they know that their competitors have to abide by the same rules, so that there is no disadvantage if you follow the rules.
“Traditional CIOs will lean into the cost center concept and do things like creating chargeback/show-back models or focus on the cost of particular business processes, instead of looking at how to improve them to create business value,” says Daniel Clydesdale-Cotter, CIO of EchoStor Technologies.
“What’s Next for GenAI in Business” panel at last week’s Big.AI@MIT Soumya Seetharam, CDIO at Corning, said the manufacturer has been on its data journey for a few years, with more than 70% of its business transaction data being ingested into a data platform. But that’s only structured data, she emphasized.
Allow me to explain by discussing what legacy platform modernization entails, along with tips on how to streamline the complex process of migrating data from legacy platforms. What is a legacy platform, exactly? Legacy platform is a relative term.
While insurance carriers were an early example of potential users , Fowler talks about blockchain as an example of how to avoid getting distracted by shiny, new technologies. A recent criticism of blockchain comes from Jim Fowler, CTO at insurance carrier Nationwide.
Specifically, 15% of organizations say they do not possess the necessary expertise to implement and manage GenAI technologies effectively, including technical skills and an understanding of how to integrate these technologies into existing processes.
Open source dependency debt that weighs down DevOps As a software developer, writing code feels easier than reviewing someone elses and understanding how to use it. One area CIOs can control is governing whether and how to implement customization to avoid business rule complexities wired into code.
Not only did people have to learn how to fix AI outputs, but also how to engineer prompts to make those outputs better in the first place. “We But it takes months or years for some to learn how to use this well.” We had to figure this out and get our team trained,” she says.
Such AI success stories have many executives and workers overall believing that AI will make many jobs obsolete, or at least eliminate workers need to know how to perform fundamental tasks, eroding key skills and experience within the talent pipeline. Research, Gartners Suda says, doesnt bear such scenarios out.
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