Today’s enterprises are increasingly adopting hybrid cloud to rapidly deploy new, game-changing applications. While this shift solves one problem—being able to quickly launch new apps—it creates another: data silos. With data stored in on-premises data centers, public clouds, and private clouds, companies spend considerable time
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SAS
Artificial intelligence (AI) makes it possible for machines to learn from experience, adjust to new inputs and perform human-like tasks. Most AI examples that you hear about today – from chess-playing computers to self-driving cars – rely heavily on deep learning and natural language processing. Using these technologies, computers can be trained to accomplish specific tasks by processing large amounts of data and recognizing patterns in the data.
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Databricks
Does this sound familiar: experiencing performance and productivity issues with your data science and data engineering efforts on Apache Spark™? Spending too much time managing your infrastructure instead of building machine-learning models, analytic apps, and data products? You are not alone.
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The influx of applications and data has made creating connected experiences extremely challenging. An Integration Platform-as-a-Service (iPaaS) solution can help your company overcome these challenges and deliver on integration projects faster. See firsthand through demos why Anypoint Platform is a market-leading iPaaS solution and what key features to look for when choosing an iPaaS.
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