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Building a vision for real-time artificial intelligence

CIO

Data is a key component when it comes to making accurate and timely recommendations and decisions in real time, particularly when organizations try to implement real-time artificial intelligence. Real-time AI involves processing data for making decisions within a given time frame.

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Top 7 Tips for Scaling Your Artificial Intelligence Strategy

OTS Solutions

There Are Top Seven Tips for Scaling Your Artificial Intelligence Strategy. In just the last few years, a large number of enterprises have started to work on incorporating an artificial intelligence strategy into their business. When AI is implemented, it will make a significant impact on the enterprise.

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Here’s where MLOps is accelerating enterprise AI adoption

TechCrunch

In the early 2000s, most business-critical software was hosted on privately run data centers. But with time, enterprises overcame their skepticism and moved critical applications to the cloud. Data engineers play with tools like ETL/ELT, data warehouses and data lakes, and are well versed in handling static and streaming data sets.

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

CIO

Salesforce is updating its Data Cloud with vector database and Einstein Copilot Search capabilities in an effort to help enterprises use unstructured data for analysis. The Einstein Trust Layer is based on a large language model (LLM) built into the platform to ensure data security and privacy.

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What is a data architect? Skills, salaries, and how to become a data framework master

CIO

Data architect role Data architects are senior visionaries who translate business requirements into technology requirements and define data standards and principles, often in support of data or digital transformations. Data architects are frequently part of a data science team and tasked with leading data system projects.

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Inferencing holds the clues to AI puzzles

CIO

As with many data-hungry workloads, the instinct is to offload LLM applications into a public cloud, whose strengths include speedy time-to-market and scalability. Data-obsessed individuals such as Sherlock Holmes knew full well the importance of inferencing in making predictions, or in his case, solving mysteries.

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The Right Stuff: The Role of MLOps in AI Success

CIO

It’s no different when building a team for an enterprise AI project; you can’t just throw a bunch of data scientists into a room and expect them to come up with a revenue-generating or efficiency-improving project without support from other members of the enterprise. Artificial Intelligence, IT Leadership