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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.
Artificial intelligence is an early stage technology and the hype around it is palpable, but IT leaders need to take many challenges into consideration before making major commitments for their enterprises. With AI and data proliferating everywhere in the enterprise, AI and data are no longer centralized assets that IT directly controls.
1] The limits of siloed AI implementations According to SS&C Blue Prism , an expert on AI and automation, the chief issue is that enterprises often implement AI in siloes. SS&C Blue Prism argues that combining AI tools with automation is essential to transforming operations and redefining how work is performed.
For CIOs leading enterprise transformations, portfolio health isnt just an operational indicator its a real-time pulse on time-to-market and resilience in a digital-first economy. In todays digital-first economy, enterprise architecture must also evolve from a control function to an enablement platform.
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.
The first is to foster a culture of agility, collaboration, and AI-driven innovation, driven in part by our new Office of AI. Our rollout of ChatGPT Enterprise to 250 business leaders has unlocked new ways to enhance productivity, from customer sentiment analysis and HR policy recommendations, to ad proofing and inventory shrink analysis.
billion deal, highlighting the growing enterprise shift toward AI-driven automation to enhance IT operations and service management efficiency. After closing the deal, ServiceNow will work with Moveworks to expand its AI-driven platform and drive enterprise adoption in areas like customer relationship management, the company said.
This is particularly true with enterprise deployments as the capabilities of existing models, coupled with the complexities of many business workflows, led to slower progress than many expected. Employee knowledge of their companys products, processes, and the markets they operate in and customers they sell to is often uncoded and tacit.
Always on the cusp of technology innovation, the financial services industry (FSI) is once again poised for wholesale transformation, this time with Generative AI. GenAI-powered financial services use cases Across the sector, GenAI is empowering innovation and enabling new work patterns.
The EU has completed a very important initiative by approving one of the worlds first regulations on AI, in an anthropocentric function, protecting fundamental rights and guaranteeing innovation, Valentini continues. It is a great opportunity for innovation, says Valentini.
So the question that plagues any professional entrusted with or motivated to drive a huge change initiative is how to inspire innovation and foster a culture of excellence. Vendors in their rush to put it in the market might not have time to deal with all the technical issues.
On October 29, 2024, GitHub, the leading Copilot-powered developer platform, will launch GitHub Enterprise Cloud with data residency. This will enable enterprises to choose precisely where their data is stored — starting with the EU and expanding globally.
AI, once viewed as a novel innovation, is now mainstream, impacting just about facet of the enterprise. Over the next 12 months, IT leaders can look forward to even more innovations, as well as some serious challenges. As 2025 dawns, CIOs face an IT landscape that differs significantly from just a year ago.
On a good day, this disconnect can lead to missed opportunities, slower decision-making and limited innovation. They are instrumental in navigating the complex intersection of technology and business, driving innovation, and accelerating decision-making in ways traditional leadership roles have struggled to do.
And we gave each silo its own system of record to optimize how each group works, but also complicates any future for connecting the enterprise. A new generation of digital-first companies emerged that reimagined operations, enterprise architecture, and work for what was becoming a digital-first world. And its testing us all over again.
Ambitious businesses are already eyeing the next leap forward in AI technology fuelled by the growing imperative to deliver business success driven by digital innovation. 1] The next horizon for savvy enterprises seeking to automate at hitherto unseen levels of scale in 2025 is agentic AI. And that was achieved.
“Solutions,” “cutting-edge,” “scalable” and “innovative” are just a sample of the overused jargon lurking around every corner of the techverse, with SaaS marketers the world over seemingly singing from the same hymn book. Which terms come to mind when you think about SaaS?
Sevita is dedicated to providing adults, children, and their families innovative services and support designed to lead to growth and independence despite physical, intellectual, or behavioral challenges. You ’re building an enterprise data platform for the first time in Sevita’s history. What’s driving this investment?
The market for enterprise applications grew 12% in 2023, to $356 billion, with the top 5 vendors — SAP, Salesforce, Oracle, Microsoft and Intuit — commanding a 21.2% market share between them, according to International Data Corp. With just 0.2% With just 0.2%
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.
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.
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.
Chinese AI startup, DeepSeek, has been facing scrutiny from governments and private entities worldwide but that hasnt stopped enterprises from investing in this OpenAI competitor. Enterprises are looking for cost-effective, open-weight AI alternatives as proprietary AI models remain costly and restricted.
The more strategic concern isn’t just the cost— it’s that technical debt is affecting companies’ abilities to create new business, and saps the means to respond to shifting market conditions. Rather than discuss “legacy systems,” talk about “revenue bottlenecks,” and replace “technical debt” with “innovation capacity.”
In a global economy where innovators increasingly win big, too many enterprises are stymied by legacy application systems. 2] The myriad potential of GenAI enables enterprises to simplify coding and facilitate more intelligent and automated system operations. The foundation of the solution is also important.
billion by 2027, with overall market growth accelerating from 17.8% Moreover, many current and future AI innovations will only be accessible with the premium plus package that incurs added fees. You want to keep your options open to achieve innovation faster.” Gartner projects that spending on AI software will grow to $297.9
Technology has shifted from a back-office function to a core enabler of business growth, innovation, and competitive advantage. Senior business leaders and CIOs must navigate a complex web of competing priorities, such as managing stakeholder expectations, accelerating technological innovation, and maintaining operational efficiency.
That’s great, because a strong IT environment is necessary to take advantage of the latest innovations and business opportunities. On the other hand, there are also many cases of enterprises hanging onto obsolete systems that have long-since exceeded their original ROI. Technology continues to advance at a furious pace.
From customer service chatbots to marketing teams analyzing call center data, the majority of enterprises—about 90% according to recent data —have begun exploring AI. Today, enterprises are leveraging various types of AI to achieve their goals.
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.
In markets such as India, Brazil, and the United Arab Emirates, AI usage exceeds the levels in so-called mature markets. GenAI created tremendous interest, and is giving a boost to enterprise AI strategies, and promises to enable many business outcomes. In the UAE, 91% of consumers know GenAI and 34% use these technologies.
By Rob Biederman As we turn the page into 2025, my colleagues and I at Asymmetric Capital Partners are optimistic for what the next year holds for growth and innovation. Simultaneously, we foresee the rise of vertical integration plays and those pursuing buy and build strategies for markets in need of technology streamlining.
At the Mobile World Congress (MWC) 2025, Huawei has positioned itself at the forefront of technological innovation, showcasing its latest advancements in 5G, artificial intelligence, and cloud computing. Huawei Cloud unveiled cutting-edge AI-native cloud services, reinforcing its commitment to intelligent transformation.
Focused on digitization and innovation and closely aligned with lines of business, some 40% of IT leaders surveyed in CIO.com’s State of the CIO Study 2024 characterize themselves as transformational, while a quarter (23%) consider themselves functional: still optimizing, modernizing, and securing existing technology infrastructure.
How does a business stand out in a competitive market with AI? By eliminating time-consuming tasks such as data entry, document processing, and report generation, AI allows teams to focus on higher-value, strategic initiatives that fuel innovation. Data breaches are not the only concern.
Set for Tuesday 19 November, the CIO100 ASEAN Awards event will bring together the top senior technology executives and teams in Southeast Asia and Hong Kong driving innovation and influencing rapid change. These awards are aligned with Foundry’s global awards programme and viewed as a mark of excellence within the enterprise.
Uber no longer offers just rides and deliveries: It’s created a new division hiring out gig workers to help enterprises with some of their AI model development work. Its first customers include Aurora Innovation, which makes self-driving software for commercial trucks, and game developer Niantic, which is building a 3D map of the world.
Once synonymous with a simple plastic credit card to a company at the forefront of digital payments, we’ve consistently pushed the boundaries of innovation while respecting tradition and our relationships with our merchants, banks, and customers. Back then, Mastercard had around 3,500 employees and a $4 billion market cap.
Simultaneously, the monolithic IT organization was deconstructed into subgroups providing PC, cloud, infrastructure, security, and data services to the larger enterprise with associated solution leaders closely aligned to core business functions. Even ZTD’s recruiting tactics are outside of the traditional IT mold.
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 an IT company that’s very integrated into the business in terms of applications, and we put innovation at the center.
Broadcom and Google Clouds continued commitment to solving our customers most pressing challenges stems from our joint goal to enable every organizations ability to digitally transform through data-powered innovation with the highly secure and cyber-resilient infrastructure, platform, industry solutions and expertise.
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. Instead, it has evolved into an indispensable leadership position encompassing digital innovation, organizational change, and business model reinvention.
It has become a strategic cornerstone for shaping innovation, efficiency and compliance. As enterprises scale their digital transformation journeys, they face the dual challenge of managing vast, complex datasets while maintaining agility and security. In 2025, data management is no longer a backend operation.
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.
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