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Enterprise infrastructures have expanded far beyond the traditional ones focused on company-owned and -operated data centers. This increased complexity means more companies will be relying on IT consultants to help navigate the changes and develop short-term and long-term strategies. What is an IT consultant?
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. Curate the data.
Dun and Bradstreet has been using AI and ML for years, and that includes gen AI, says Michael Manos, the companys CTO. In a November report by HR consultancy Randstad, based on a survey of 12,000 people and 3 million job profiles, demand for AI skills has increased five-fold between 2023 and 2024. Other surveys found a similar gap.
Understanding the company’s competitive position allows IT leaders to mindfully act to implement technology for competitive advantage. If competitors are using advanced data analytics to gain deeper customer insights, IT would prioritize developing similar or better capabilities. Learn more about IDC’s research for technology leaders.
Speaker: Ahmad Jubran, Cloud Product Innovation Consultant
Whether you're a seasoned CTO or an industry trailblazer, this webinar will help make your product ready to meet the competition by adopting an architecture that is optimized for innovation. Join Ahmad Jubran, Cloud Product Innovation Consultant, and learn how to adapt your solutions for cloud models the right way. And much more!
Whereas robotic process automation (RPA) aims to automate tasks and improve process orchestration, AI agents backed by the companys proprietary data may rewire workflows, scale operations, and improve contextually specific decision-making.
A recent criticism of blockchain comes from Jim Fowler, CTO at insurance carrier Nationwide. 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. Many organizations havent found other uses for blockchain, he says.
Youre under this pressure unless youve given up and relinquished responsibility for formulating the organizations technology vision to a chief digital officer, chieftechnologyofficer, or some other titled individual whose job is to make promises you as CIO are supposed to keep. Dont do that.
Combined with an April IDC survey that found organizations launching an average of 37 AI POCs, the September survey suggests many CIOs have been throwing the proverbial spaghetti at the wall to see what sticks, says Daniel Saroff, global vice president for consulting and research services at IDC.
On Thursday 11 December 2014, join noted enterprise CTO and publisher of CTOvision Bob Gourley, Cloudera’s Sr. Bob Gourley is the publisher of CTOvision.com, a site providing mission-focused insights into enterprise technologies. Enhance security. Serve and support multiple workloads. For more and to register see: [link].
While the average large enterprise believes it uses 37 apps, employees actually use 625 apps, including more than 170 AI apps, according to data collected by WalkMe. Erik Gfesser, an IT consultant and former director at Deloitte, says hes seen enterprises running hundreds of unauthorized apps and software libraries when he engages with them.
Weve developed our own agentic AI for code management, says Charles Clancy, CTO at Mitre. The key challenge in our area is there are hundreds of tasks that might not be particularly well automated, says CTO Paul Gaskell. The data is kept in a private cloud for security, and the LLM is internally hosted as well.
A business leader may want to adopt AI, but might not understand that AI works best when fueled by large amounts of data. “By It requires them to role-play your job, and they’re not very good at that because it’s never been their job,” explains Rob Collie, founder and CEO of consulting firm P3.
billion buy of Hashicorp, IBM said its goal is to infuse HashiCorp automation and security technology in every data center possible. With the deal, which was 10 months in the making , IBM plans to further integrate HashiCorps automation technology into its Red Hat, watsonx, data security, IT automation, and consulting businesses.
Underutilized and/or overprovisioned resources are among the biggest contributors to high cloud costs, says Shreehari Kulkarni, principal consultant with global technology research and advisory firm ISG. Overlooking factors like data transfer fees or volume discounts often lead to overspending.
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. He advises using dashboards offering real-time data to monitor the transformation.
As VP of cloud capabilities at software company Endava, Radu Vunvulea consults with many CIOs in large enterprises. By moving applications back on premises, or using on-premises or hosted private cloud services, CIOs can avoid multi-tenancy while ensuring data privacy.
Dave McCarthy, research vice president at IDC and one the surveys authors, points out that CIOs are still dealing with how best to manage unexpected costs in the cloud and have learned that estimating costs for new workloads is challenging without historical data. This is largely the No.
But as a result, anybody could then expose a lot of company data inadvertently. As technologies evolve, CIOs still need to build mutual commitment and support for IT initiatives,” says tech consultant and author Gerald Leonard. The CIO is really worried about cybersecurity and the risk of data exfiltration,” says Fernandes.
She previously worked at Iron Mountain, where she was Executive Vice President and CTO. She joined Okta as CIO in 2020, and left Okta for her current role at F5 in January 2025, where she is tasked with building a data- and AI-first enterprise. Johnson was named president and CEO of Lumen (formerly CenturyLink) in 2022.Saddled
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.
Steve Ross, director of cybersecurity for the Americas at S-RM Intelligence and Risk Consulting, says gen AI can reduce a day’s worth of research to a single hour, but not without a catch. “It According to ZipRecruiter, the average starting salary for an entry-level US data scientist in October was $165,000 per year.
But you cant always wait for more data to ensure your decisions are sound. I know every answer, agrees Dave Curtis, CTO at RobobAI. But no one especially in technology knows everything. You dont want your team to make solo decisions on things you want to be consulted on. It is a limited, local decision?
Jason Hishmeh, cofounder and CTO at IT services provider Varyence, sees such AI innovations infiltrate every level of the customer journey in the next five years. Power to the customer New e-commerce AI shopping tools will turn the current opaque, data-broker-driven customer profile model on its head, Cognizants Sharma says.
As AI technologies evolve, organizations can utilize frameworks to measure short-term ROI from AI initiatives against key performance indicators (KPIs) linked to business objectives, says Soumendra Mohanty, chief strategy officer at data science and AI solutions provider Tredence. Start by focusing on a current project.
Oracle is betting on high demand for data, driven by generative AI -related workloads, to boost revenue in upcoming quarters as enterprises look to adopt generative AI for productivity and efficiency. Generative AI is changing everything.
Job titles like data engineer, machine learning engineer, and AI product manager have supplanted traditional software developers near the top of the heap as companies rush to adopt AI and cybersecurity professionals remain in high demand. Demand for developers is simply growing at a slower rate than other IT roles.
“Today’s CIOs inherit highly customized ERPs and struggle to lead change management efforts, especially with systems that [are the] backbone of all the enterprise’s operations,” wrote Isaac Sacolick, founder and president of StarCIO, a digital transformation consultancy, in a recent blog post.
The AI revolution is driving demand for massive computing power and creating a data center shortage, with data center operators planning to build more facilities. But it’s time for data centers and other organizations with large compute needs to consider hardware replacement as another option, some experts say.
The early part of 2024 was disappointing when it comes to ROI, says Traci Gusher, data and analytics leader at EY Americas. With these paid versions, our data remains secure within our own tenant, he says. We use AI to generate the first draft of the response to the RFP by using past RFPs and other data sets.
Over the years, DTN has bought up several niche data service providers, each with its own IT systems — an environment that challenged DTN IT’s ability to innovate. “We For example, Ewe didn’t want to lose the data those other engines worked with. Jumping straight in and making a wrong decision can cost more in the long term.
Plus, they can be more easily trained on a companys own data, so Upwork is starting to embrace this shift, training its own small language models on more than 20 years of interactions and behaviors on its platform. We have to look at how we interact with colleagues and how we interact with AI, he adds.
Chieftechnologyofficers are key players in the enterprise C-suite, oftentimes working in collaboration with CIOs at the forefront of new and innovative technologies. They are among the most important hires organizations are making today due to the business value that successful technology deployments can bring.
As SVP and CTO for the Boston Red Sox, Brian Shield is responsible for the strategic direction of technology, fan engagement, day-to-day IT operations, and cybersecurity in support of the team, their fans, and Fenway Sports Management. You have your full-time lineup of veteran leaders. Your very best are your all-stars.
Few would swap sunny San Francisco and the innovation of Silicon Valley for a train ticketing company serving disgruntled UK commuters, but try telling that to Trainline CTO, Milena Nikolic. Vertical teams, meanwhile, operate across the tech stack so teams aren’t localised to certain operating systems, orchestration or data layers.
Long before the advent of customer data platforms (CDPs) , Kohl’s business model centered on collecting and cultivating customer data. We’ve had a homegrown customer data environment for decades,” says Paul Gaffney, CTO and supply chain officer at the $19.4 The power of third-party data.
In Italy specifically, more than 52% of companies, and CIOs in particular, continue to struggle finding the technical professionals they need, according to data by Unioncamere, the Italian Union of Chambers of Commerce, and the Ministry of Labor and Social Policies. This helps us screen about applications 5,000 per hour. Talents must be paid.
However, the effort to build, train, and evaluate this modeling is only a small fraction of what is needed to reap the vast benefits of generative AI technology. For healthcare organizations, what’s below is data—vast amounts of data that LLMs will have to be trained on. Consider the iceberg analogy.
One of the newer technologies gaining ground in data centers today is the Data Processing Unit (DPU). As VMware has observed , “In simple terms, a DPU is a programable device with hardware acceleration as well as having an ARM CPU complex capable of processing data.
For the past few years, IT leaders at a US financial services company have been struggling to hire data scientists to harness the increasing flood of incoming data that, if used properly, could improve customer experience and drive new products. It’s exponentially harder when it comes to data scientists.
He has assisted the top management in planning IT strategies and leveraging technologies for rationalizing manpower, enhancing organizational productivity, and improving the efficiency of operations. Amit Goel joins Blox as CTO. Real estate buying platform Blox has appointed Amit Goel as its chieftechnologyofficer, based in Mumbai.
In our real-world case study, we needed a system that would create test data. This data would be utilized for different types of application testing. The requirements for the system stated that we need to create a test data set that introduces different types of analytic and numerical errors.
As part of this work, the foundation’s volunteers learned about the necessity of collecting reliable data to provide efficient healthcare activity. The generative AI is filling in data gaps,” she says. But the Virtue Foundation isn’t alone in experimenting with gen AI to help develop or augment data sets. It’s on the web.
It was an interesting case study of global cyber impact, says Charles Clancy, CTO at Mitre. In a countersuit, CrowdStrike blamed Delta for the airlines problems, saying that other airlines were able to recover much faster, and that the contract between the two companies meant Delta wasnt allowed to sue for damages.
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