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Salesforce Data Cloud updates aim to ease data analysis, AI app development

CIO

Answers comes with semantically relevant information, citing the knowledge sources used to craft the answers, the company said. Artificial Intelligence, Business Intelligence and Analytics Software, CRM Systems, Databases, Enterprise Applications

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What is a data engineer? An analytics role in high demand

CIO

This IT role requires a significant set of technical skills, including deep knowledge of SQL database design and multiple programming languages. Data engineers also need communication skills to work across departments and to understand what business leaders want to gain from the company’s large datasets.

Knowledge 843
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The AI continuum

CIO

That decade has given us newfound ways to use AI—from apps that know what you’ll type next, to cars that drive themselves and algorithms for scientific breakthroughs. Model sizes: Uses algorithmic and statistical methods rather than neural network models. It’s the culmination of a decade of work on deep learning AI.

Algorithm 593
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9 Careers You Could Go into With a Data Science Degree

Smart Data Collective

The interdisciplinary field of data science involves using processes, algorithms, and systems to extract knowledge and insights from both structured and unstructured data and then applying the knowledge gained from that data across a wide range of applications. Business Intelligence Developer. Data Analyst.

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Jira & Zendesk Aid with Analytics-Driven Management

Smart Data Collective

These platforms offer robust capabilities for managing tickets and customer requests, making them indispensable tools for various businesses and organizations. Both of these platforms have complex analytics algorithms that help technical support professionals offer higher quality service. Zendesk stands out in managing knowledge bases.

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Is Advanced Analytics the Next Logical Step Beyond Self-Serve Business Intelligence?

Elegant BI

Many organizations have grown comfortable with their business intelligence solution, and find it difficult to justify the need for advanced analytics. How is Advanced Analytics Different from Business Intelligence?

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What is the KMeans Clustering Algorithm and How Does an Enterprise Use it to Analyze Data?

Elegant BI

This article provides a brief explanation of the KMeans Clustering algorithm. What is the KMeans Clustering algorithm? Once the algorithm has been run and the groups are defined, any new data can be easily assigned to the correct group. How Does an Enterprise Use the KMeans Clustering Algorithm to Analyze Data?