Energy Organization Systems Review Training 
CIO
JANUARY 9, 2024
Many organizations know that commercially available, “off-the-shelf” generative AI models don’t work well in enterprise settings because of significant data access and security risks. Lesson 1: Don’t start from scratch to train your LLM model Massive amounts of data and computational resources are needed to train an LLM.
CIO
NOVEMBER 7, 2023
With 2022 now in our rearview mirror, we still reflect on a time marked by global upheavals, like the Russia – Ukraine war, to the skyrocketing energy prices and global inflation. As technology advances, so too does the sophistication of threats to these essential systems.
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CIO
FEBRUARY 20, 2023
The most performant CRM system today, Salesforce is a core technology for digital business, and its associated applications and ecosystem help make it in a leading platform for those seeking a lucrative IT career. Salesforce Administrator A Salesforce Certified Administrator manages and maintains an organization’s Salesforce CRM system.
CIO
MAY 22, 2023
Essentially, the AI Act is about categorizing AI systems into specific risk classes ranging from minimal, to systems with high risks, and those that should be banned altogether. Open-source systems in particular allow more transparency and security when it comes to the use of AI.
CIO
APRIL 20, 2023
Across the world, climate change has bitten hard into the economies of tech-centric California, again due to wildfires. There is a need and realization by the business world to be more environmentally sustainable since organizations are seeing an impact on the bottom line as a direct result of climate change.
CIO
DECEMBER 13, 2023
Unlike that energy company, many organizations have yet to feel an urgency to capitalize on the value of their vast reservoirs of unstructured data. and applying and enriching metadata helps organizations take a big step toward innovating with generative AI. While most of us would see dirt and rock, Rob sees unstructured data.
CIO
FEBRUARY 26, 2024
He points to a recent observation from GitHub CEO Thomas Dohmke, who noted 40% of computer-generated code was adopted by developers beta testing its Copilot AI automated code-writing system. Those skills can then be quickly employed within the organization. That approach can slow things down and stifle innovation,” Everest says.
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