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2. Mark Zuckerberg Just Delivered Incredible News for Nvidia ...

   www.aol.com/finance/mark-zuckerberg-just...

   Our analyst team just revealed what they believe are the 10 best stocks to buy right now. See the 10 stocks » Meta Platforms (NASDAQ: META) is a huge buyer of AI chips from Nvidia and AMD.

3. AMD shares drop as data-center sales disappoint Wall Street ...

   www.aol.com/finance/amd-shares-drop-data-center...

   Chief executive Lisa Su’s semiconductor giant actually beat analyst estimates for overall sales and earnings, with $7.1 billion in first-quarter revenues rather than an expected $7 billion.

4. Trump tariffs, more Big Tech earnings, and a jobs report ...

   www.aol.com/finance/trump-tariffs-more-big-tech...

   Trump's tariff plans are squarely in focus for investors amid another busy week on Wall Street that will include quarterly reports from more than 100 S&P 500 companies and the January jobs report.

5. Business intelligence - Wikipedia

   en.wikipedia.org/wiki/Business_intelligence

   Business intelligence (BI) consists of strategies, methodologies, and technologies used by enterprises for data analysis and management of business information. [1] Common functions of BI technologies include reporting, online analytical processing, analytics, dashboard development, data mining, process mining, complex event processing, business performance management, benchmarking, text ...

6. Data analysis - Wikipedia

   en.wikipedia.org/wiki/Data_analysis

   Data analysis has multiple facets and approaches, encompassing diverse techniques under a variety of names, and is used in different business, science, and social science domains. [2] In today's business world, data analysis plays a role in making decisions more scientific and helping businesses operate more effectively. [3]

7. Data science - Wikipedia

   en.wikipedia.org/wiki/Data_science

   Data science is an interdisciplinary field [10] focused on extracting knowledge from typically large data sets and applying the knowledge from that data to solve problems in other application domains. The field encompasses preparing data for analysis, formulating data science problems, analyzing data, and summarizing