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
“You have to forecast this to your executive team and continue to remind them of why we’ve chosen this strategy. Put your datastrategy in business turns. If we make the choice for modular architecture, we have to live it. And living with it will feel different than how we’ve operated technology in the past.”
OCBC Bank optimizes customer experience & riskmanagement with multi-phased data initiative. The company recently migrated to Cloudera Data Platform (CDP ) and CDP Machine Learning to power a number of solutions that have increased operational efficiency, enabled new revenue streams and improved riskmanagement.
As gen AI heads to Gartners trough of disillusionment , CIOs should consider how to realign their 2025 strategies and roadmaps. However, this is only possible if you invest in technology that brings transparency and reliability to AI-performed or AI-assisted data work. CIOs should consider placing these five AI bets in 2025.
Align datastrategies to unlock gen AI value for marketing initiatives Using AI to improve sales metrics is a good starting point for ensuring productivity improvements have near-term financial impact. Successful selling has always been about volume and quality, says Jonathan Lister, COO of Vidyard.
Will the data privacy controls ultimately help create an enterprise approach to data? Data lies at the heart of knowing the customer and enabling a better customer experience. Riskmanagement can be optimized by the improved use of data and analytics to run models, account for more variables and scrutinize probable outcomes.
However, embedding ESG into an enterprise datastrategy doesnt have to start as a C-suite directive. Developers, data architects and data engineers can initiate change at the grassroots level from integrating sustainability metrics into data models to ensuring ESG data integrity and fostering collaboration with sustainability teams.
There is an ever-increasing awareness of concerns about data privacy, corporate data breaches, increasing demands for regulatory compliance. There are also emerging concerns about the ways that big data analytics potentially influence and bias automated decision-making.
Data gathering and use pervades almost every business function these days — and it’s widely acknowledged that businesses with a clear strategy around data are best placed to succeed in competitive, challenging markets such as defence. What is a datastrategy? Why is a datastrategy important?
Of course, building a vision and culture around data that gets your company to that point is the trick. The first step, according to EY, is to adopt a visionary core datastrategy. Such a strategy should connect how data will inform, support, and drive an organization’s short- and long-term strategic business plans.
Similarly, data should be treated as a corporate asset with a dedicated long-term strategy that lets the organization store, manage, and utilize its data effectively. In an industry that is subject to stringent regulatory requirements, it is critical to use data to accurately scale up riskmanagement.
Data-first leaders are: 11x more likely to beat revenue goals by more than 10 percent. 5x more likely to be highly resilient in terms of data loss. 4x more likely to have high job satisfaction among both developers and data scientists. Create a CXO-driven datastrategy.
With generative AI requiring organizations to re-evaluate their datastrategies, CDAOs and chief data officers need to step up as leaders and demonstrate business value beyond their standard datamanagement and governance functions, Gartner advises.
In October 2020, the Office of the Comptroller of the Currency (OCC) announced a $400 million civil monetary penalty against Citibank for deficiencies in enterprise-wide riskmanagement, compliance riskmanagement, data governance, and internal controls.
So, what are the common user cases we are seeing for enterprise data clouds? Protect: security needs including riskmanagement, fraud detection and cybersecurity initiatives through risk modelling and analysis, regulatory compliance, and financial crime prevention. . About the author: .
In implementing cohesive data protection initiatives, organizations that can secure their users’ data see huge wins in brand image and customer loyalty and stand out in the marketplace. The key to differentiation comes in getting data protection right, as part of an overall datastrategy.
Set your holistic gen AI strategy Defining a gen AI strategy should connect into a broader approach to AI, automation, and datamanagement. Here are five best practices to get the most business benefit from gen AI.
Information security and riskmanagement are always top priorities for Fleetcor Technologies’ CIO Scott DuFour as well, and 2024 will be no different. NCC Group’s Fox says CIOs are in a place where they have more data than they know what to do with, all sourced from multiple processes and systems.
As more types of data are collected and from an increasing number of sources, there is much potential to be uncovered, ranging from riskmanagement to a more active citizenry. Governments need to ensure that a sound datastrategy is at the core of their digital transformation journeys to reap its full benefits. .
Translating AI’s Potential into Measurable Business Impact It can’t be denied that a mature enterprise datastrategy generates better business outcomes in the form of revenue growth and cost savings. OCBC Bank ’s adoption of AI has effectively impacted revenue generation and better riskmanagement.
With an extensive career in the financial and tech industries, she specializes in datamanagement and has been involved in initiatives ranging from reporting to data architecture. She currently serves as the Global Head of Cyber DataManagement at Zurich Group.
Typically, authorized users only perform decryption when necessary to ensure that sensitive data is almost always secure and unreadable. Datariskmanagement To protect their data, organizations first need to know their risks.
AI Adoption and DataStrategy. Lack of a solid datastrategy. For the first, it is in best interest to do your own research, talk to friends, professionals and approach data services companies like ours. Datastrategy allows you to build a roadmap to adopt AI. (Source: PwC).
I had something else nearly ready that was expanding on the broad questions of ethics in information and datamanagement I discussed last time, drawing on some work I’m doing with an international client and a recent roundtable discussion I had with some regulators […].
At the same time, unstructured approaches to data mesh management that don’t have a vision for what types of products should exist and how to ensure they are developed are at high risk of creating the same effect through simple neglect. Acts as chair of, and appoints members to, the data council.
At the risk of introducing yet another data governance definition, here’s how Forrester defines the term: A suite of software and services that help you create, manage, and assess the corporate policies, protocols, and measurements for data acquisition, access, and leverage.
Taking Stock A year ago, organisations of all sizes around the world were catapulted into a cycle of digital and data transformation that saw many industries achieve in a matter of weeks in what would otherwise have taken many years to achieve. Small businesses pivoted to doing business online in a way that they might […].
We have seen an impressive amount of hype and hoopla about “data as an asset” over the past few years. And one of the side effects of the COVID-19 pandemic has been an acceleration of data transformation in organisations of all sizes. But datamanagement teams in organisations often still struggle with how to communicate […].
Businesses cannot prove there is no forced labor in their supply chain without working with procurement—to understand their supplier base, where they are located, and what might be high risk—let alone solution to embed proactive riskmanagement in vendor onboarding.
Otherwise, they are like a black box, where very little is known as to how they arrive at answers and responses and organizations can lose control of private data, GenAI pipelines can get compromised, or applications can be attacked in subtle ways by hackers.
As I am writing this, countries around the world are fighting a global pandemic. This is the first global pandemic of the modern information age. There have been a number of epidemics in recent years, such as Ebola, but they (thankfully) have been regional in nature. This time around, we have the power of AI, […].
If you are targeted by a criminal online, then you risk losing everything— from your essential data to your reputation. The average cost of a global data breach cost has increased in 2019 and is now $3.92 Cyber-attacks are a huge problem for today’s businesses.
Probably the best one-liner I’ve encountered is the analogy that: DG is to data assets as HR is to people. Also, while surveying the literature two key drivers stood out: Riskmanagement is the thin-edge-of-the-wedge ?for Now’s the time to get in on the ground floor of how to “ leverage data as a strategic asset ” in the US.
Rural areas worldwide are disconnected in a landscape that nearly requires the internet to work or socially interact. But eventually, the entire planet will have equal, high-speed internet access. Neglecting the digital divide and broadband gap will cause cybersecurity concerns for communities entering the digital era.
Cybersecurity risks in procurement can result in significant financial loss, reputational damage, and legal liability. Procurement is an essential function within any organization, involving the acquisition of goods and services necessary for business operations.
It can become a vital part of your supplier riskmanagement process. Big data can be incredibly valuable for companies striving to maximize profits. Retailers, in particular, can benefit from investing in big data. The variables mentioned above should be incorporated into any retailer’s big datastrategy.
Three of the team—two cyber engineers and a riskmanager—were hired directly from the University in their third years, prior to graduation. “We We work closely with the University of South Wales, National Cyber Security Academy, and support them in a number of ways,” says Hobbs.
Since data is the fuel for AI, unlocking its full potential is only possible when organizations have mastered datamanagement. However, according to Foundry research conducted for GEP, weak internal datamanagement capabilities were the most common challenge organizations face when preparing data for AI initiatives (45%).
It builds upon the collective wisdom of the AI community and complements existing frameworks like the AI Bill of Rights and the AI RiskManagement Framework from the National Institute of Standards and Technology.
We organize all of the trending information in your field so you don't have to. Join 42,000+ 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