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In todays rapidly evolving business landscape, the role of the enterprise architect has become more crucial than ever, beyond the usual bridge between business and IT. In a world where business, strategy and technology must be tightly interconnected, the enterprise architect must take on multiple personas to address a wide range of concerns.
Gen AI has entered the enterprise in a big way since OpenAI first launched ChatGPT in 2022. According to Precedence Research, the global gen AI market was over $25 billion in 2024 and is forecast to reach a staggering $803 billion by 2033. Runway has a steep learning curve for some features and can be resource intensive.
research firm Vanson Bourne to survey 650 global IT, DevOps, and Platform Engineering decision-makers on their enterprise AI strategy. The Nutanix State of Enterprise AI Report highlights AI adoption, challenges, and the future of this transformative technology. Nutanix commissioned U.K.
A cloud analytics migration project is a heavy lift for enterprises that dive in without adequate preparation. A modern data and artificial intelligence (AI) platform running on scalable processors can handle diverse analytics workloads and speed data retrieval, delivering deeper insights to empower strategic decision-making.
Customer relationship management ( CRM ) software provider Salesforce has updated its agentic AI platform, Agentforce , to make it easier for enterprises to build more efficient agents faster and deploy them across a variety of systems or workflows. Christened Agentforce 2.0, New agent skills in Agentforce 2.0
That situation can lead to a huge waste of time for startups that want to sell to enterprise customers: a business development black hole. We asked survey respondents to assess a list of 16 technologies, from advanced analytics to quantum computing, and put each one into one of these four buckets. AI/machine learning.
AI is clearly making its way across the enterprise, with 49% of respondents expecting that the use of AI will be pervasive across all sectors and business functions. Despite concerns around regulation, AI is significantly impacting the key skill sets of the future enterprise.
How does a business stand out in a competitive market with AI? For some, it might be implementing a custom chatbot, or personalized recommendations built on advanced analytics and pushed out through a mobile app to customers. This type of data mismanagement not only results in financial loss but can damage a brand’s reputation.
Chief data officers (CDOs), chief data and analytics officers (CDAOs), and chief artificial intelligence officers (CAIO) together made up 91% of survey respondents; 4% held the title of CIO or CTO, and 3% were C-suite execuitves. Only 29% are still just experimenting with generative AI, versus 70% in the 2024 study.
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.
By Katerina Stroponiati The artificial intelligence landscape is shifting beneath our feet, and 2025 will bring fundamental changes to how enterprises deploy and optimize AI. Natural language interfaces are fundamentally restructuring how enterprises architect their AI systems, eliminating a translation layer.
Migration to the cloud, data valorization, and development of e-commerce are areas where rubber sole manufacturer Vibram has transformed its business as it opens up to new markets. We’re in publishing, but it’s the accompanying services that differentiate us on the market; the technology component is what gives value to our business.”
It’s a position many CIOs find themselves in, as Guan noted that, according to an Accenture survey, fewer than 10% of enterprises have gen AI models in production. “What’s Next for GenAI in Business” panel at last week’s Big.AI@MIT As experts in financial services and commodity markets, there must be standard evaluation methods, he said.
But the more analytic support we have, the better,” Gonzalo Gortázar CEO of CaixaBank, told IBM. AI-driven decision-making transforming the c-suite Bret Greenstein, PwC’s data and AI leader, is an expert on enterprise AI working with numerous executives to integrate AI operationally.
At the same time, many organizations have been pushing to adopt cloud-based approaches to their IT infrastructure, opting to tap into the speed, flexibility, and analytical power that comes along with it. In doing so, this generates greater financial flexibility by optimizing the allocation of existing resources.
GenAI is also helping to improve risk assessment via predictive analytics. In one example, BNY Mellon is deploying NVIDIAs DGX SuperPOD AI supercomputer to enable AI-enabled applications, including deposit forecasting, payment automation, predictive trade analytics, and end-of-day cash balances.
While AI projects will continue beyond 2025, many organizations’ software spending will be driven more by other enterprise needs like CRM and cloud computing, Lovelock says. Even though many device makers are pushing hard for customers to buy AI-enabled products, the market hasn’t yet developed, he adds.
Sumana De Majumdar, global head of channel analytics at HSBC, noted that AI and machine learning have played a role in fraud detection, risk assessment, and transaction monitoring at the bank for more than a decade.
As enterprises at every stage of maturity strengthen their digital capabilities, the Chief Digital Officer has emerged as a strategic force within the executive suite. This leader steers the adoption of advanced platforms and analytics and influences product development, supply chain optimization, and customer experience enhancement.
Shares of ZoomInfo are unchanged in pre-market trading following the news, per Yahoo Finance data. Sales intelligence, Chorus’s market, is a hot space that uses AI to “listen” to sales conversations to help improve interactions between salespeople and customers. for $575 million.
The early part of 2024 was disappointing when it comes to ROI, says Traci Gusher, data and analytics leader at EY Americas. Some of the best use cases Ive seen have been in marketing, and thats just one area. Marketing communications is a great area for AI, he says. But now were actually starting to see real benefits, she says.
According to AI at Wartons report on navigating gen AIs early years, 72% of enterprises predict gen AI budget growth over the next 12 months but slower increases over the next two to five years. A second area is improving data quality and integrating systems for marketing departments, then tracking how these changes impact marketing metrics.
That may be a key tension unfolding for the 2025 IT hiring market, as evidenced by IT recruitment firm Harvey Nash stepping back from the ramifications of its own recent survey of CIOs, who were decidedly pessimistic about IT hiring in the new year. Roles that merge analytics and engineering, for example, are becoming more common.”
As enterprises scale their digital transformation journeys, they face the dual challenge of managing vast, complex datasets while maintaining agility and security. Unlike traditional masking methods, their solution ensures that the data remains usable for testing, analytics, and development without exposing the actual values.
As the AI landscape evolves from experiments into strategic, enterprise-wide initiatives, its clear that our naming should reflect that shift. Its a signal that were fully embracing the future of enterprise intelligence. AI today involves ML, advanced analytics, computer vision, natural language processing, autonomous agents, and more.
And then, they start moving in that direction while staying flexible enough to adapt as the market evolves. states) The reality is that if you dont actively shape your approach to AI, the market will shape it for you. They place bets. They ask: Where do we need to be in five or 10 years?
Roughly 75% of that value will emanate from productivity gains across customer operations, sales and marketing, software engineering, and R&D. Bob Ma of Copec Wind Ventures AI’s eye-popping potential has given rise to numerous enterprise generative AI startups focused on applying large language model technology to the enterprise context.
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. Understanding the competitive landscape is also essential.
“Soci became an essential partner to brands for this transformation, which led to an increased need for brands to turn to technology to manage their presence in local digital market channels.” Khoury says he was inspired to found Soci by the dearth of options for brands to manage their presence across digital marketing channels.
This role requires a deep understanding of market dynamics, consumer behavior, and technological trends, enabling the organization to adapt to changes and lead them. These efforts have resulted in personalized marketing and improved operational efficiency, underscoring the tangible benefits of a digital-first strategy.
For those enterprises with significant VMware deployments, migrating their virtual workloads to the cloud can provide a nondisruptive path that builds on the IT teams already-established virtual infrastructure. AI and analytics integration. AI workloads demand flexibility and the ability to scale rapidly.
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.
Infinidat Recognizes GSI and Tech Alliance Partners for Extending the Value of Infinidats Enterprise Storage Solutions Adriana Andronescu Thu, 04/17/2025 - 08:14 Infinidat works together with an impressive array of GSI and Tech Alliance Partners the biggest names in the tech industry. Its rock-solid for high-end enterprise deployments.
CIOs should drive technology-enabled sustainability initiatives, such as green logistics , ensuring supply chain visibility and security will help meet regulatory requirements and improve brand reputation and market growth. They should also implement AI-powered predictive analytics for better decision-making. and Europe.
Its product suite includes an HR management system, performance and competency management, HR analytics, leave management, payroll management and recruitment management. But over time, it began to focus on bigger clients and signed up a bank as its first main enterprise customer. but rarely used in markets like Nigeria. “In
It can automate repetitive service requests, harness predictive analytics for swifter resolution, and evolve continuously through adaptive learning. Freshworks exemplifies this shift with its enterprise-grade, AI-powered solutions, offering compelling ways of how AI can be an indispensable ally in empowering business teams.
Fractal Analytics provides artificial intelligence and analytics solutions to scores of Fortune 100 firms. (A is fuelling next-generation enterprise revenue growth management and Senseforth.ai “We solve every human problem in the enterprise,” said Velamakanni. helps firms improve investment decisions, Eugenie.ai
Running AI on mainframes as a trend is still in its infancy, but the survey suggests many companies do not plan to give up their mainframes even as AI creates new computing needs, says Petra Goude, global practice leader for core enterprise and zCloud at global managed IT services company Kyndryl.
As far as I can tell, low-code and no-code services are rapidly proving that prior models for products as broad as enterprise app creation and AI-powered data analytics were lackluster. A mix of public- and private-market low- and no-code companies are putting up impressive results. My evidence? The dividing factor?
Years ago, Will Allred and William Ballance were developing a tech platform, Sorter, to apply personality and communication psychology to marketing campaigns. Just as Sorter was heading to market, the pandemic hit — and marketing budgets froze. “Lavender is well-capitalized to continue building in the current market.
E-commerce marketing automation platform Klaviyo has received a $100 million strategic investment from Shopify, according to documents filed with the U.S. Using Klaviyo, businesses can set up triggers for messages about abandoned carts, product recommendations and more, leveraging an array of templates and predictive analytics tools.
Enterprise resource planning (ERP) is ripe for a major makeover thanks to generative AI, as some experts see the tandem as a perfect pairing that could lead to higher profits at enterprises that combine them. E-commerce can involve nearly all parts of a company’s supply chain, including ordering, marketing, and delivery, he says.
S/4HANA is SAPs latest iteration of its flagship enterprise resource planning (ERP) system. The SAP Business Technology Platform offers in-memory processing, agile services for data integration and application extension, as well as embedded analytics and intelligent technologies. What is S/4HANA?
Recognize IT and business are inseparable IT and business strategies are now fully intertwined, observes Jay Upchurch, EVP and CIO at analytics vendor SAS. Collie believes it’s far more productive to ask business leaders about their own jobs, including their view of market trends and the key business challenges they’re facing.
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