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But along with siloed data and compliance concerns , poor data quality is holding back enterprise AI projects. For many organizations, preparing their data for AI is the first time they’ve looked at data in a cross-cutting way that shows the discrepancies between systems, says Eren Yahav, co-founder and CTO of AI coding assistant Tabnine.
But a lot of the proprietary value that enterprises hold is locked up inside relational databases, spreadsheets, and other structured file types. And Intuit has built its security knowledge platform on a knowledge graph, using knowledge graph vendor Neo4j technology, with 75 million database updates being fed into the graph per hour.
With C-suite leaders under increasing pressure to align technology with strategic objectives, many experience that roles — whether CEO, CFO or even CTO — lack the deep technical insight needed to bridge the gap between business and technology. The CEO sets the vision and ensures business success.
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.
As enterprises across Southeast Asia and Hong Kong undergo rapid digitalisation, democratisation of artificial intelligence (AI) and evolving cloud strategies are reshaping how they operate. AI-powered automation will streamline repetitive tasks, reduce human error, and enhance operational efficiency by 30-40 %.
“Our valued customers include everything from global, Fortune 500 brands to startups that all rely on IT to do business and achieve a competitive advantage,” says Dante Orsini, chief strategy officer at 11:11 Systems. “We And throughout all of this, we enable them to draw on the VMware assets they know and trust.“
What is a CTO? The chieftechnologyofficer (CTO) is the senior executive who focuses on the technological requirements, opportunities, and challenges within an organization. What does a CTO do? What does a CTO do? Years ago, the CTO most often led the infrastructure function.
What do the chief digital officer, chieftechnologyofficer, chief information security officer, chief transformation officer, chief data officer, and so on, have in common? Most enterprises would argue they need all these roles to operate and drive their change agendas.
Chief data officers (CDOs), chief data and analytics officers (CDAOs), and chief artificial intelligenceofficers (CAIO) together made up 91% of survey respondents; 4% held the title of CIO or CTO, and 3% were C-suite execuitves. Most (85%) were in North America.
“There are multiple examples of organizations driving home a first-mover advantage by adopting and embracing technology modernization when the opportunity presents itself early.” On the other hand, there are also many cases of enterprises hanging onto obsolete systems that have long-since exceeded their original ROI.
Copilot Studio allows enterprises to build autonomous agents, as well as other agents that connect CRM systems, HR systems, and other enterprise platforms to Copilot. Then in November, the company revealed its Azure AI Agent Service, a fully-managed service that lets enterprises build, deploy and scale agents quickly.
We may look back at 2024 as the year when LLMs became mainstream, every enterprise SaaS added copilot or virtual assistant capabilities, and many organizations got their first taste of agentic AI. AI at Wharton reports enterprises increased their gen AI investments in 2024 by 2.3
Its an offshoot of enterprise architecture that comprises the models, policies, rules, and standards that govern the collection, storage, arrangement, integration, and use of data in organizations. Limit the times data must be moved to reduce cost, increase data freshness, and optimize enterprise agility. DAMA-DMBOK 2.
CIOs often have a love-hate relationship with enterprise architecture. On the one hand, enterprise architects play a key role in selecting platforms, developing technical capabilities, and driving standards.
As companies shift their focus from the digital transformation of individual processes to the business outcomes enabled by a digitally transformed organisation, software engineering will become a core enterprise capability. When it comes to container-related technologies, only 30% are using OSS.
As more AI innovations come to market, financial institutions can leverage the technology for enhanced services, increased efficiency, and new ways to deliver and manage products. Ed McLaughlin is the president and chieftechnologyofficer of Mastercard and a member of the company’s management committee.
SAP CTO Juergen Mueller will step down from SAP’s executive board at the end of September. “I I want to address an incident at a past company event where my behavior was inappropriate. I regret being inconsiderate and sincerely apologize to everyone affected. I recognize my behavior at that moment did not reflect our values at SAP.
AI, once viewed as a novel innovation, is now mainstream, impacting just about facet of the enterprise. To keep ahead of the curve, CIOs should continuously evaluate their business and technology strategies, adjusting them as necessary to address rapidly evolving technology, business, and economic practices.
SAP introduced a new CTO and two new chief revenue officers. Philipp Herzig will take on the role of global CTO at SAP, in addition to his current position as chief AI officer. In his new position, Herzig will oversee SAPs technology strategy, innovation, research, and corporate development.
Poor resource management and optimization Excessive enterprise cloud costs are typically the result of inefficient resource management and a lack of optimization. Many enterprises also overestimate the resources required, leading to larger, more expensive instances being provisioned than necessary, causing overprovisioning.
Beware silos — and be proactive about adding value Business leaders are often concerned that IT may not be fully aligned with enterprise needs and challenges, observes Brian Bronson, EVP at IT services firm Capgemini Americas. Become a motivator Most business leaders expect IT to be the engine that propels enterprise success.
Jim Chilton is an award-winning CIO who serves as the chieftechnologyofficer of Cengage Group, an innovative disruptor in the edtech space. As a business and technology executive, Chilton leverages his unique experiences to drive innovation and optimize technology throughout the company.
Questionable outcomes and a lack of confidence in generative AIs promised benefits are proving to be key barriers to enterprise adoption of the technology. Most enterprises, especially outside of tech, face significant barriers to implementing in-house AI infrastructures that are capable of running highly advanced models, he says.
Driven by the development community’s desire for more capabilities and controls when deploying applications, DevOps gained momentum in 2011 in the enterprise with a positive outlook from Gartner and in 2015 when the Scaled Agile Framework (SAFe) incorporated DevOps. It may surprise you, but DevOps has been around for nearly two decades.
But many enterprises stopped their agile transformations at this layer. But the work to get business leaders, stakeholders, and end-users to shift to agile mindsets mostly got stuck. Most enterprise IT departments need program managers but need to restate their responsibilities.
And finally, says Vishal Gupta, the companys global CTO, CIO, and SVP of connected technology, the IT department wont touch a project that doesnt have commitment from business users. Gupta applies the same common sense he applies to other technology projects, with a few adjustments to account for the novelty of gen AI.
Enterprise architecture definition Enterprise architecture (EA) is the practice of analyzing, designing, planning, and implementing enterprise analysis to successfully execute on business strategies. EA, and its goals, however, are constantly evolving.
El CTO de SAP, Juergen Mueller, dejará su puesto en la junta ejecutiva de SAP a finales de septiembre. Quiero referirme a un incidente ocurrido en un evento de la compañía en el que mi comportamiento fue inapropiado. Lamento haber sido desconsiderado y pido sinceras disculpas a todos los afectados.
Your communication strategy is lacking Leaders often overlook the importance of building strong communication links between management and team members, says Pavlo Tkhir, CTO at software development firm Euristiq. But Bilow observes that enterprises sometimes bypass early stakeholder groups and jump straight to business user needs.
Agentic AI, the more focused alternative to general-purpose generative AI, is gaining momentum in the enterprise, with Forrester having named it a top emerging technology for 2025 in June. The reason is because enterprises look for some predictability. It is all dependent upon the features and usage volume, she adds.
To ensure every IT initiative directly contributes to measurable business outcomes, CIOs must move from operational managers to strategic partners, collaborating with business leaders to align IT decisions with enterprise goals. Now, he focuses on strategic businesstechnology strategy through architectural excellence.
Over the past few years, enterprises have strived to move as much as possible as quickly as possible to the public cloud to minimize CapEx and save money. As VP of cloud capabilities at software company Endava, Radu Vunvulea consults with many CIOs in large enterprises. Are they truly enhancing productivity and reducing costs?
Against a backdrop of disruptive global events and fast-moving technology change, a cloud-first approach to enterprise applications is increasingly critical. A cloud-first enterprise applications strategy helps make data more accessible to distributed users and workflows, he says.
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.
Enterprise infrastructures have expanded far beyond the traditional ones focused on company-owned and -operated data centers. As a result, for IT consultants, keeping the pulse of the technology market is essential. The IT function within organizations has become far more complex in recent years.
Between building gen AI features into almost every enterprise tool it offers, adding the most popular gen AI developer tool to GitHub — GitHub Copilot is already bigger than GitHub when Microsoft bought it — and running the cloud powering OpenAI, Microsoft has taken a commanding lead in enterprise gen AI.
Japanese cloud service and data intelligence firm, Fujjitsu, has formed a strategic alliance with Cohere, a Toronto and San Francisco-based enterprise AI company known for its focus on security and data privacy, to develop and provide secure, cutting-edge generative AI solutions for Japanese enterprises.
Yet unlike his peers, Wiedenbeck’s dual roles — the top technology executive as well as the transformation lead at Ameritas — are often at odds. As chieftechnologyofficer, Wiedenbeck is driving automation and IT modernization to reduce complexity and technical debt.
The head of data and analytics at a large enterprise recently told Jeremiah Stone, CTO of integration-platform-as-a-service (iPaaS) provider SnapLogic, that its data was in no condition to be useful to AI because of poor management of its applications in past years.
IT leaders should be under-hypers rather than over-hypers, and promote technology only in the context of business cases. According to Ron Guerrier, CTO of Save the Children Foundation, one way of helping business leaders learn whats really possible is to recommend books to read on AI.
A similar percentage (52%) cited integrating new technologies as the biggest challenge. We live in a world where applications are abundant theres an app for everything, and the market has taken this to the extreme, said Nabil Bukhari, CTO at Extreme Networks. But IT vendors are not helping. For more information, visit here.
Vaclav Vincalek, CTO and founder at 555vCTO, points to Google’s use of software-defined networking to interconnect its global data centers. Quality assurance and application testing Application testing is a skill that’s likely to be augmented by AI if not replaced entirely, says Ram Palaniappan, CTO at TEKsystems.
As competition heats up among cloud service providers, especially on the generative AI front, Oracle is focusing its energies on providing IT infrastructure that can help developers and enterprises take advantage of generative AI in their operations.
The CDO role will become integral as AI adoption grows, adds Daniel Kearney, CTO and CDO at Sustainable Metal Cloud, a cloud computing service focused on AI workloads. Data is important for modern enterprises, and as AI evolves, having someone who can manage, protect, and strategically utilize that data is crucial.
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