AI and generative AI initiatives powered by high-quality data can transform your company. But your AI project is likely to fail if that data is inaccurate, unreliable, or too narrow in scope. You could...
Artificial Intelligence can be a game changer for most organizations, but not all AI usage will lead to the best results. Here are the top 10 things you need to consider to make sure your AI implementation...
Algorithms, Generative AI, Retrieval Augmented Generation—understanding the language involved in Artificial Intelligence (AI) and big data initiatives can be daunting when you aren’t a data...
The success of any AI initiative hinges on access to high-quality, credible data from trusted sources. Data and technology from LexisNexis® offers three critical advantages to help you realize the...
The more detailed knowledge an organization has of the risks it faces, the more informed and strategically effective its decisions can be. Fortunately, collecting, structuring, and analyzing relevant data...
Generative AI (GenAI) stands poised as a monumental breakthrough for the future of work, redefining the way organizations operate. Whether used for creating written or visual content, enhancing analytics...
Data Solutions
Extracting insights from data poses challenges for several reasons. Data generation continues to accelerate, increasing data volume exponentially. Finding relevant insights amidst an avalanche of messy data is nearly impossible.
This leads to another barrier: The inconsistencies in data format can lead to more wrangling than results. A survey in 2020 found that data scientists spend up to 45% of their time on data wrangling.4 While that’s a marked improvement from past estimates in the 70%–80% range, it still represents time taken away from developing and deploying value-driving analytics.
How can organizations fully take advantage of credible data and AI technologies to democratize access and use across the enterprise?
Read the complete e-book to understand the challenges and benefits of integrating third-party data into decision-making analytics and presents seven use cases that organizations worldwide can leverage to gain a performance advantage.
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