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
In 2025, data management is no longer a backend operation. As enterprises scale their digital transformation journeys, they face the dual challenge of managing vast, complex datasets while maintaining agility and security. This article dives into five key data management trends that are set to define 2025.
By Jude Sheeran, EMEA managing director at DataStax When making financial decisions, businesses and consumers benefit from access to accurate, timely, and complete information. About Jude Sheeran : DataStax Jude Sheeran serves as Managing Director (EMEA) at DataStax. They can be applied in any industry.
Even modest investments in database tooling and paying down some data management debt can relieve database administrators of the tedium of manual updates or reactive monitoring, says Graham McMillan, CTO of Redgate. Another concern is if regulations force holistic model retraining, forcing CIOs to switch to alternatives to remain compliant.
Along with nearly every other industry, banking is facing greater competitive pressure than ever. As banks continue to face this reality, they’re also tasked with addressing a variety of rapidly changing issues, including those surrounding data protection, adoption of cryptocurrency, and anonymizing data (AI models). .
As I work with financial services and banking organizations around the world, one thing is clear: AI and generative AI are hot topics of conversation. In the finance and banking industry, however, organizations are seeking extra guidance on the best way forward. In short, yes. But it’s an evolution.
In this role, Brady oversees the front-to-back IT organization, data and analytics, enterprise security, enterprise risk, and an intelligent automation center of excellence, all while managing back-office operations, contact center services, and KeyBanks corporate real estate portfolio. So, I thought, banking would be stable.
Due to Nigeria’s fintech boom borne out of its open banking framework, the Central Bank of Nigeria (CBN) has published a much-awaited regulation draft to govern open banking procedures. For Emmanuel Morka, CIO at Access Bank Ghana, open banking is the future and enterprises should seize on the opportunity.
Decades-old apps designed to retain a limited amount of data due to storage costs at the time are also unlikely to integrate easily with AI tools, says Brian Klingbeil, chief strategy officer at managed services provider Ensono. CIOs should also use data lakes to aggregate information from multiple sources, he adds.
When the chief banking officer of a $10.3B community bank visited a competing super-regional branch in her suburban New Jersey neighborhood, she noticed something troubling. Piles upon piles of paper crowded the branch manager’s desk and cluttered the nearby credenza. A large financial institution acquired a smaller bank.
In October, Microsoft announced that 100,000 organizations including Standard Bank, Thomson Reuters, Virgin Money, and Zurich Insurance are using Copilot Studio, double the number just months earlier. Weve developed our own agentic AI for code management, says Charles Clancy, CTO at Mitre. And thats just the beginning.
Bank over the years is that effectively deploying and making use of new tools requires a skilled and diverse workforce and a technology team with a strong engineering culture to support it. Banking on technology and people The largest technology investment for U.S. What we have discovered in implementing emerging technology at U.S.
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.
The artificial intelligence revolution is well underway, but how ready are banks and lenders to leverage the full breadth of these capabilities? And while some banks and lenders have made these integrations to varying degrees of success, others are struggling to fully embrace this next technological chapter. The jury is out.
As an example, the consultancy refers to how generative AI technology could potentially add $200 – $400 billion in added annual value to the banking industry if full implementation moves ahead on various use cases. Organizations are seeing a dramatic rise in informal adoption of gen AI – tools and platforms used without official sanctioning.
Mohamed Salah Abdel Hamid Abdel Razek, Senior Executive Vice President and Group Head of Tech, Transformation & Information, Mashreq explains how the bank is integrating advanced technologies and expanding its digital footprint. This approach has significantly enhanced the customer banking experience.
Typically, this approach is essential, especially for the banking and finance sector in today’s world. Financial institutions such as banks have to adhere to such a practice, especially when laying the foundation for back-test trading strategies. Big data has numerous perks relating to the financial and banking industries.
We have talked extensively about the role of AI in investment management and insurance. The banking industry is among them. Banks have been slower to adapt AI technology than some other institutions. However, the market for AI in banking is expected to grow over 30% a year and will be worth over $64 billion by 2030.
Workflow automation and data analytics are streamlining document management, cross-checking data, assessing for risk, ensuring regulatory compliance, and so on. For a borrower, there is more visibility into the process, less wait time, and better protection for their personal and financial information. Security and privacy.
From insurance to banking to healthcare, organizations of all stripes are upgrading their aging content management systems with modern, advanced systems that introduce new capabilities, flexibility, and cloud-based scalability. With support from Hyland Professional Services, the bank migrated 2.5
AI is revolutionizing the banking and financial sector. Read this article to get to know why banks need to introduce AI-based solutions in their workflows—the faster the better. Banking is one of those industries that can earn or save billions of dollars thanks to AI. Compliance and Fraud Detection. Investment Valuation.
This comprehensive regulation applies to all financial institutions in the European Union (EU), as well as third-party providers of information and communication technology (ICT) services to financial entities. With dozens of specific rules, DORA’s reach is extensive and far-reaching.
Today’s consumers are accustomed to smooth, frictionless online shopping – and they increasingly expect the same kind of digital experiences from their banks. consumers use mobile banking channels, and 70% said mobile banking is now their primary way of accessing their accounts. “Most people do not want to go into a bank to do banking.
In every cyber security team I’ve worked in, stress management is a common concern, says Vodacom group managing executive for cyber security, Kerissa Varma. Some manage this better than others, but one of the most common questions I get asked about my job is how I’ve done it for so long, considering everything that it involves.”.
Enterprise content management (ECM) systems have long given employees easy access to whatever content they need to do their jobs. Potential use cases spread across vertical industries that are steeped in document-intensive processes, including healthcare, financial services, banking, and insurance.
Always keen to help member credit unions grow their bottom line and manage cash effectively, Corporate One wanted to provide access to the industrys new payment rails, and create opportunities for credit unions to take advantage of immediate payments. So members can quickly and securely transfer funds between bank accounts in real time.
The recent slew of bank failures have created a lot of concerns about the state of the global economy. The good news is that big data technology is helping banks meet their bottom line. The banking sector, in particular, can use big data technology to improve the actuarial analysis of the loan underwriting and approval process.
In a damning audit report , Grant Thornton has exposed how the project implementation turned into a cautionary tale of project mismanagement, highlighting critical failures in governance, technical oversight, and vendor management that continue to impact the councils core operations.
Information is at the core of every business’s digital transformation. Managing it has gotten more and more challenging due to growing volumes of content, and the disparate and complex tools and systems. Organizations are awash in informationmanagement systems. Today it’s still the top driver for 41% of companies.
Wealth and asset management has come a long way, evolving through the use of artificial intelligence, or AI solutions. Machine learning (ML) is a form of AI that is becoming more widely used in the market because of the rising number of AI vendors in the banking industry. But is AI becoming the end-all and be-all of asset management ?
Financial regulations exist to ensure stability and trust in global banking systems. However, even in a heavily regulated industry, banks and financial institutions worldwide routinely fail audits, often paying steep penalties amounting to billions of dollars.
Karen Higgins-Carter, previously CIO of Webster Bank, joined Gilbane just over a year ago as CDIO with the responsibility of digitally transforming this 153-year-old business. In construction, our teams are managing the construction of hundreds of projects happening at any one time,” she says. Hire the right architects.
Recently, that’s exactly the course Gisela Riggan, EVP and CIO at Prosperity Bank, chose to pursue, and she selected BMC as her technology partner. Prosperity Bank already has a strong reputation for running a lean, profitable business. What makes us unique is that we still have a community bank philosophy. IT is super thin.”
Committed to increasing the velocity of cash in the economy, they also offer other cash management services such as banking automation, card personalization, IoT monitoring solutions, as well as security and analytics to their clients, making them the number one cash management company in the country, leaving their competition in the dust.
Global banks and investment firms are currently mulling plans to replace entry-level financial analyst positions with artificial intelligence (AI), with as many as two-thirds of these positions potentially on the chopping block.
That necessitates end-to-end solutions that encompass connectivity, cloud applications, security, data management, support services, and the specialized expertise that is needed to guide them throughout their entire cloud journey. We deliver comprehensive ICT managed services that integrate cloud, network, and security solutions.
One organization, Feeding America, the country’s largest domestic hunger relief organization, is turning to information technology to help, having hired three years ago its first IT chief to transform how its network of 200 food banks serve the food insecure. Those food banks also have varying levels of technology acumen.
The banking, financial services, and insurance (BFSI) sector is facing a storm. One online bank in the United Kingdom has been operating just 10 years but counts one in six of the British adult population as a customer. bank led to debates in parliament, a major public enquiry, and heavy personal fines for the banks CEO and CIO.
It makes banks more data-driven and insightful, enhancing decision-making; providing deeper insights; and achieving greater agility, personalized customer service, and automation. Enriched data allows banks to create a comprehensive picture of customer behavior, enabling personalized services and accurate risk assessments.
However, they should not be passive about waiting for their bank, insurance company or other financial institution to advise them about new technology that can assist them. It is important to be informed about the potential benefits of machine learning as a consumer. appeared first on SmartData Collective.
By leveraging one common networking architecture and multiple cloud-based devices, users can view and manage a network from end-to-end through any number of interfaces (e.g., It also provides an easier way to implement and manage automation tools throughout a network. web UI, APIs, mobile).
With each passing day, new devices, systems and applications emerge, driving a relentless surge in demand for robust data storage solutions, efficient management systems and user-friendly front-end applications. As civilization advances, so does our reliance on an expanding array of devices and technologies. billion user details.
Similarly, some hospitals and medical offices could not obtain vital patient information or maintain visit schedules. Vendor risk management Assess vendor capabilities: Regularly evaluate the risk management and disaster recovery capabilities of key vendors. This helps mitigate risks and ensures accountability.
“Suddenly, you can create engaging customer-facing videos at the click of a button,” says Oliver Banks, retail consultant and author of Driving Retail Transformation: How to navigate disruption and change. The new ads were created very quickly,” says Banks. They’re now feeding the model new information with a three-week lag.
million devices globally , overwhelming contact centers with stranded travelers, frustrated banking customers, and patients seeking urgent assistance. Airlines, banks, healthcare companies, and others must take decisive and strategic actions to repair their customer experience promises, regain customer trust, and drive business growth.
We organize all of the trending information in your field so you don't have to. Join 11,000+ 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