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
We suspected that dataquality was a topic brimming with interest. The responses show a surfeit of concerns around dataquality and some uncertainty about how best to address those concerns. Key survey results: The C-suite is engaged with dataquality. Adopting AI can help dataquality.
If the data volume is insufficient, it’s impossible to build robust ML algorithms. If the dataquality is poor, the generated outcomes will be useless. By partnering with industry leaders, businesses can acquire the resources needed for efficient data discovery, multi-environment management, and strong data protection.
Dealing with uncertain economic environments, which can distract from sustainability issues: Energy prices, price inflation, and geopolitical tensions continue to fluctuate, and that uncertainty can impact focus on environmental sustainability. The key is good dataquality. have their own additional regulations.
Machine learning adds uncertainty. Underneath this uncertainty lies further uncertainty in the development process itself. There are strategies for dealing with all of this uncertainty–starting with the proverb from the early days of Agile: “ do the simplest thing that could possibly work.” What delivers the greatest ROI?
Currently, 32% of businesses use multi-cloud cybersecurity tools to reduce the financially devastating risk of data breaches, while 31% of leading enterprises use direct multi-cloud cost management tools to mitigate financial efficiency across the organization. In both cases, the return on investment (ROI) is healthy.
Government executives face several uncertainties as they embark on their journeys of modernization. The team implemented a phased approach to the human-centered design assessment, which led to a data-driven roadmap of recommended technological enhancements. frequency (how many occurrences?), time (how much time is lost?)
The current COVID-19 pandemic has spread waves of uncertainty across businesses and their customer base. These could also be analyzing projected RoI vs Alignment of these initiatives to operational and strategic objectives or zero-based budgeting. Integrated Customer Engagement: The Need of the Hour! Stay safe and stay integrated!
Though composable infrastructure may remove the restrictions of traditional architectures, there’s debate [3] about whether it can scale and whether the ROI would be reached by increased flexibility and utilization. Ready to evolve your analytics strategy or improve your dataquality? Just starting out with analytics?
And then you’ll do a lot of work to get it out and then there’ll be no ROI at the end. If you have a user facing product, the data that you had when you prototype the model may be very different from what you actually have in production. People want to just dip their toes in and do a small sample project.
Typically, election years bring fear, uncertainty, and doubt, causing a slowdown in hiring, Doyle says. CIOs are being viewed as business strategists who can navigate AIs impact, manage outsourced IT functions, and drive ROI and measurable business value, she says. Boards and CEOs arent just looking for IT leaders.
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