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
Despite the increase in sales across CPG categories, top CPG brands witnessed a decrease and the cause has been cited due to increased fragmentation of customer preference for private brands. Millennials prefer private labels over national brands due to their cost effectiveness. Using BigData and Advanced Analytics.
A recent UNICEF research revealed that half of the world’s population could be living in areas facing water scarcity by as early as 2025. AI algorithms, BigData, and predictive analytics then calculate ideal irrigation based on water requirements and weather forecasts to determine the amount of water needed. No data governance.
This looks like a dated metric…Can we look at some other one which is for 2025 ? [GU1] They are improving the manufacturing landscape by facilitating data-driven decision-making, increasing productivity, and reducing costs through sensors, embedded software, and robotics. Among the most significant considerations are: 1.
This looks like a dated metric…Can we look at some other one which is for 2025 ? [GU1] They are improving the manufacturing landscape by facilitating data-driven decision-making, increasing productivity, and reducing costs through sensors, embedded software, and robotics. Among the most significant considerations are: 1.
Innovation solutions used to drive internal innovation can range from consulting services to software automation that allows teams to advance, scout, discover and accelerate innovation. By 2025, the Fortune 500 list will barely be recognizable with about 55% of companies losing their spot on this list of elite companies.
On the other hand, the blows they suffered due to the rise of e-commerce allowed some businesses to reach record sales and connect with a much wider audience than ever before. According to Gartner , AI technologies will be in almost every software product by 2020. billion dollars by 2025. Not in the same way at least.
The modern business world is fast progressing on the path of reaching 175 ZB of data by 2025. Traditionally, unstructured and scattered data sources led to incomplete data and increased costs due to poor decision-making. Data estate modernization is a tough row to hoe. No-code hybrid data integration.
We organize all of the trending information in your field so you don't have to. Join 29,000+ 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