This site uses cookies to improve your experience. To help us insure we adhere to various privacy regulations, please select your country/region of residence. If you do not select a country, we will assume you are from the United States. Select your Cookie Settings or view our Privacy Policy and Terms of Use.
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Used for the proper function of the website
Used for monitoring website traffic and interactions
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Strictly Necessary: Used for the proper function of the website
Performance/Analytics: Used for monitoring website traffic and interactions
Enterprises know everything is not moving to the cloud that was the lesson of 2024, and it triggered some extreme reactions that fueled the cloud repatriation stories we all heard. Its that some things are, and should be, moving to the cloud. The top strategy so far is what one enterprise calls the Cloud Team.
As enterprises scale their digital transformation journeys, they face the dual challenge of managing vast, complex datasets while maintaining agility and security. With the rise in hybrid and multi-cloud environments, businesses will increasingly need to secure sensitive data across diverse systems.
One of the most significant enablers of digital transformation is cloud computing. Strategic options for cloud adoption When it comes to cloud adoption, organizations have several strategic options to consider. Public cloud. Private cloud. Hybrid cloud. Multi-cloud.
In todays fast-paced digital landscape, the cloud has emerged as a cornerstone of modern business infrastructure, offering unparalleled scalability, agility, and cost-efficiency. As organizations increasingly migrate to the cloud, however, CIOs face the daunting challenge of navigating a complex and rapidly evolving cloud ecosystem.
Speaker: Jeremiah Morrow, Nicolò Bidotti, and Achille Barbieri
Yet they are continually challenged with providing access to all of their data across business units, regions, and cloud environments. In this session, you will learn: How the silos development led to challenges with data growth, data quality, data sharing, and data governance (an example of datamesh paradigm adoption).
With the rapid advancement and deployment of AI technologies comes a threat as inclusion has surpassed many organizations governance policies. Governance is also seen as a roadblock to the agility needed to quickly deploy into production. But in reality, the proof is just the opposite.
However, trade along the Silk Road was not just a matter of distance; it was shaped by numerous constraints much like todays data movement in cloud environments. Merchants had to navigate complex toll systems imposed by regional rulers, much as cloud providers impose egress fees that make it costly to move data between platforms.
Regardless of where they are on their AI journey, organizations need to be preparing existing data centers and cloud strategies for changing requirements, and have a plan for how to adopt AI, with agility and resilience, as strategies evolve,” said Jeetu Patel, chief product officer at Cisco.
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. Optimize data flows for agility. Cloud storage. Cloud computing. Ensure data governance and compliance.
To address this, a next-gen cloud data lake architecture has emerged that brings together the best attributes of the data warehouse and the data lake. Read this whitepaper to learn: How this “no data copy” approach dramatically streamlines data workflows while reducing security and governance overhead.
A cloud analytics migration project is a heavy lift for enterprises that dive in without adequate preparation. Traditional systems often can’t support the demands of real-time processing and AI workloads,” notes Michael Morris, Vice President, Cloud, CloudOps, and Infrastructure, at SAS. But this scenario is avoidable.
Its “backbone as a service” gives customers the ability to connect branch locations, cloud workloads and applications through Alkira’s fabric. A user can directly terminate into a cloud exchange point and have the same kind of visibility, governance and control in terms of what resources that user can access on the network.”
Two critical areas that underpin our digital approach are cloud and artificial intelligence (AI). Cloud and the importance of cost management Early in our cloud journey, we learned that costs skyrocket without proper FinOps capabilities and overall governance. That said, were not 100% in the cloud.
In the State of Enterprise Architecture 2023 , only 26% of respondents fully agreed that their enterprise architecture practice delivered strategic benefits, including improved agility, innovation opportunities, improved customer experiences, and faster time to market.
CIOs must take an active role in educating their C-suite counterparts about the strategic applications of technologies like, for example, artificial intelligence, augmented reality, blockchain, and cloud computing. Such a dynamic culture ensures that the organization remains flexible and adaptable in an ever-evolving digital landscape.
Speed and agility bring in the top transformation prize. Go all-in with agile Another way to ensure IT can quickly deliver transformative results is to go all-in with modern approaches, starting with a full embrace of agile development. The 2024 State of Agile report from Digital.ai
What CIOs can do: Avoid and reduce data debt by incorporating data governance and analytics responsibilities in agile data teams , implementing data observability , and developing data quality metrics. The key is establishing strong data governance and infrastructure foundations before diving into AI implementations.
Transformational CIOs continuously invest in their operating model by developing product management, design thinking, agile, DevOps, change management, and data-driven practices. In 2025, CIOs should integrate their data and AI governance efforts, focus on data security to reduce risks, and drive business benefits by improving data quality.
Cloud technology is a springboard for digital transformation, delivering the business agility and simplicity that are so important to today’s business. Cloud is also a powerful catalyst for improving IT and user experiences, with operating principles such as anywhere access, policy automation, and visibility.
Yet, despite its potential, cloud computing has not fully leveraged these advantages in managing complex cloud environments. Much like finance, HR, and sales functions, organizations aim to streamline cloud operations to address resource limitations and standardize services.
Pursue cryptographic agility Once companies have figured out which assets and communications they need to protect first, how do they actually go about switching to quantum-safe cryptography? Instead, Horvath and other experts recommend that enterprises pursue quantum agility. It seems easy to do but its actually catastrophic.
Your cloud usage continues to grow. Your cloudgovernance must match this new reality. The types of workloads you’re migrating are trending increasingly mission-critical.
The roadmap is based on three fundamental pillars, with a goal of achieving an agile organization with a capacity for innovation and operational resilience to face the uncertain future that is looming on the horizon. The first of these pillars is related to user experience.
Pre-COVID, agility became an aspiration and rallying cry for organizations seeking to embrace emerging technologies and pursue technology-enabled innovation, often to stave off digital disruption in their industries. This goes beyond implementing agile methodology. Balance control with agility. Think a step ahead.
Be it in the energy industry, e-government services, manufacturing, or logistics, the fourth industrial revolution is having a profound impact. Thanks to AI, 5G-A, cloud, and other technologies, the physical world is merging with the digital world. Digitalization is everywhere. US-dollar return in a country’s digital economy.
In IDCs April 2024 CIO Poll Survey of 105 senior IT professionals and CIOs, developing better IT governance and enterprise architecture emerged as one of the top priorities for 2024, ranking fourth. Without well-functioning IT governance, how can you progress on competing priorities?
So as a CIO, how should you reign in the chaos and implement a suitable level of governance and control? We need all hands on tech, empowering a digitally literate citizenry with the right guidance and thoughtful governance that enables rather than prohibits, he says.
These outdated systems are not only costly to maintain but also hinder the integration of new technologies, agility, and business value delivery. For instance, Capital One successfully transitioned from mainframe systems to a cloud-first strategy by gradually migrating critical applications to Amazon Web Services (AWS).
Even as cloud spend is set to grow at a CAGR of 16.9% trillion by 2025 , the transformation journey is riddled with challenges, such as security, governance, compliance, economics, and resourcing. A cloud center of excellence (CoE) in an enterprise can make a big difference in the return on cloud investments.
Data is the foundation of innovation, agility and competitive advantage in todays digital economy. Key recommendations include investing in AI-powered cleansing tools and adopting federated governance models that empower domains while ensuring enterprise alignment. Fragmentation is one of the most widespread problems.
Multiple business imperatives are driving CIOs to re-examine and re-invent their approach to network infrastructure, including the mission critical backbone that supports highly complex, bandwidth-intensive, multi-cloud environments. Hybrid multi-cloud : The debate over cloud vs. on-prem has been pretty much settled; and the answer is both.
> Jason Richardson is the chief digital officer of Serco Asia Pacific , which provides a wide array of services including IT systems integration and management, engineering, and facilities management to governments and private organizations throughout the region. Q: What IT issues did your organization want to address?
[That] is the interesting story, and [how] thats going to unlock applications at some of the biggest banks, telcos, retailers, government departments, Dickens said. For the kind of customers that Z attracts the banks, governments, and manufacturers the AI will become important. Watson X is IBMs AI development studio and platform.
The cloud journey completed Even before the system landscape is changed, Volvo Cars has made its cloud journey — one of the big, ongoing programs when Altehed started his role in 2019. “We In less than a year, we completed our cloud migration, and a large part of the environment where system changes take place are hosted in the cloud.
By Milan Shetti, CEO Rocket Software In today’s fast-paced digital business world, organizations have become highly adaptive and agile to keep up with the ever-evolving demands of consumers and the market. IT professionals tasked with managing, storing, and governing the vast amount of incoming information need help.
To overcome this, many CIOs originally adopted enterprise data platforms (EDPs)—centralized cloud solutions that delivered insights quickly, securely, and reliably across various business units and geographies. From an implementation standpoint, choose a cloud-based distillery that integrates with your existing cloud infrastructure.
From manufacturing to healthcare and finance to defense, AI enhances efficiency, decision-making and operational agility, providing organizations a competitive edge in an increasingly data-driven world. Senior executives are challenged with securing AI, aligning initiatives with governance frameworks and fortifying business resilience.
If you recently integrated cloud technologies into your IT environment, chances are your team spent many months working behind the scenes, diligently setting up the implementation to generate quick gains for the business. They likely scoped out projects that can benefit from the newfound agility and migrated some early or pilot workloads.
At the 2025 World Government Summit in Dubai, Google & Alphabet CEO Sundar Pichai joined H.E. He also noted Googles approach to project management, emphasizing long-term investments in core technologies like AI and Quantum, while remaining agile and adaptable in product development, willing to course correct when necessary.
The core of their problem is applying AI technology to the data they already have, whether in the cloud, on their premises, or more likely both. And all of that data is stored on premises, but your training is taking place on the cloud where your GPUs live. Imagine that you’re a data engineer. How did we achieve this level of trust?
To meet the rapidly growing demand for its cloud services, Oracle has announced plans to open a third public cloud region in Saudi Arabia. Located in Riyadh, the new cloud region will be part of a planned $1.5 billion USD investment from Oracle to expand cloud infrastructure capabilities in the Kingdom. Now we invested 1.5
As such, he views API governance as the lever by which this value is assessed and refined. Good governance is the telemetry on that investment, from which operational and tactical plans can be adjusted and focused to achieve strategic objectives,” he says. “As
It’s no longer a question of whether organizations are moving to the cloud but rather how well it’s going. Cloud isn’t that shiny new object in the distance, full of possibility. Companies may have had highly detailed migration or execution plans, but many failed to develop a point of view on the role of cloud in the enterprise.
Among the recent trends impacting IT are the heavy shift into the cloud, the emergence of hybrid work, increased reliance on mobility, growing use of artificial intelligence, and ongoing efforts to build digital businesses. Not surprisingly, some of the most in-demand certifications today are related to cloud services and cybersecurity.
We organize all of the trending information in your field so you don't have to. Join 83,000+ users and stay up to date on the latest articles your peers are reading.
You know about us, now we want to get to know you!
Let's personalize your content
Let's get even more personalized
We recognize your account from another site in our network, please click 'Send Email' below to continue with verifying your account and setting a password.
Let's personalize your content