Data Related Topics 
AWS Machine Learning
NOVEMBER 7, 2024
AI agents , powered by large language models (LLMs), can analyze complex customer inquiries, access multiple data sources, and deliver relevant, detailed responses. In this post, we guide you through integrating Amazon Bedrock Agents with enterprise data APIs to create more personalized and effective customer support experiences.
AWS Machine Learning
NOVEMBER 22, 2024
This post dives deep into how to set up data governance at scale using Amazon DataZone for the data mesh. The data mesh is a modern approach to data management that decentralizes data ownership and treats data as a product.
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SoliCall
MARCH 11, 2025
In today’s digital age, data is often referred to as the new currency. From the photos we share on social media to the conversations we have with call centers, personal data is constantly being collected, stored, and analyzed. But who owns all of this data? This might be for advertising or to improve their algorithms.
AWS Machine Learning
OCTOBER 24, 2024
Conventional ML development cycles take weeks to many months and requires sparse data science understanding and ML development skills. Business analysts’ ideas to use ML models often sit in prolonged backlogs because of data engineering and data science team’s bandwidth and data preparation activities.
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Building a successful CX program requires teams to share data seamlessly across multiple functions, including support services, contact center, marketing, and sales. The Value Index is an assessment of how well vendors address buyers’ requirements for CX software and incorporates all criteria.
AWS Machine Learning
FEBRUARY 21, 2025
Thats why we use advanced technology and data analytics to streamline every step of the homeownership experience, from application to closing. Data exploration and model development were conducted using well-known machine learning (ML) tools such as Jupyter or Apache Zeppelin notebooks.
BlueOcean
MARCH 11, 2025
Maybe youre all too familiar with the way your contact center seems to be a black hole of data. These insights enable continuous improvement that are deeply data-driven, rather than relying on small sample sizes and gut feelings. Or perhaps you can sense that your customers are looking for more when they come calling.
Advertiser: ZoomInfo
Sales and marketing leaders have reached a tipping point when it comes to using intent data — and they’re not looking back. More than half of all B2B marketers are already using intent data to increase sales, and Gartner predicts this figure will grow to 70 percent. Intent data can be overwhelming if you don’t know how to use it.
Advertiser: ZoomInfo
Data normalization. However, if lead generation, reporting, and measuring ROI is important to your marketing team, then data normalization matters - a lot. At its core, data normalization is the process of creating context within your marketing database by grouping similar values into one common value. Why is this so essential?
Advertiser: ZoomInfo
In this report, ZoomInfo substantiates the assertion that technographic data is a vital resource for sales teams. reporting that technographic data is either somewhat important or very important to their organization. In fact, the majority of respondents agree—with 72.3%
Advertiser: ZoomInfo
That’s where your data comes in. In demand generation, data is essential for knowing who you should target and how. In this eBook, you’ll learn how to identify and target your ideal prospects — when they’re most receptive to hearing your message — using different types of data. Leveraging intent data.
Advertiser: ZoomInfo
Leveraging a data provider to help identify and connect with qualified prospects supports company revenue goals by alleviating common headaches associated with prospecting research and empowers sales productivity. Download ZoomInfo’s data-driven eBook for guidance on effectively assessing the vendor marketplace. So what’s the problem?
Advertiser: ZoomInfo
64% of successful data-driven marketers say improving data quality is the most challenging obstacle to achieving success. The digital age has brought about increased investment in data quality solutions. However, investing in new technology isn’t always easy, and commonly, it’s difficult to show the ROI of data quality efforts.
Advertiser: ZoomInfo
By using the power of intent data, capturing buyer interest has become more feasible for sales. Read on to learn more about how intent data can save salespeople time -- while capturing more qualified leads in the process! Not only that, but using it will save immense time during your workflow; a win-win on all fronts.
Advertiser: ZoomInfo
In our 24-criterion evaluation of B2B marketing data providers, we identified the 11 most significant vendors — Data Axle, Dun & Bradstreet, Enlyft, Global Database, InsideView, Leadspace, Oracle, SMARTe, Spiceworks Ziff Davis, TechTarget, and ZoomInfo Technologies — and researched, analyzed, and scored them.
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