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Jan 23, 2025 | 
idc.com | Cathy Huang |Christopher Kissel |Craig Robinson |Frank Dickson
target audience: TECH BUYER Publication date: Jan 2025 - Document type: IDC Perspective - Doc Document number: # US52280325 Content Table of Contents (9 pages) Get More When you purchase this document, the purchase price can be applied to the cost of an annual subscription, giving you access to more research for your investment.
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Jan 8, 2025 | 
idc.com | Jaclynn Anderson |Craig Robinson |Cathy Huang |Linus Lai |Sophia S. Wang
This IDC Market Glance provides a high-level view of the multiple sales channels used by cybersecurity products and services vendors. Non-security-focused channel organizations expanding into cybersecurity product and service sales, increased focus on services versus license sale, and channel consolidation have been historical trends that are expected to continue.
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Oct 16, 2024 | 
idc.com | Cathy Huang
target audience: TECH SUPPLIER Publication date: Oct 2024 - Document type: IDC Survey Spotlight - Doc Document number: # US52654424 Content 2 slides Get More When you purchase this document, the purchase price can be applied to the cost of an annual subscription, giving you access to more research for your investment.
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Sep 24, 2024 | 
idc.com | Gard Little |Bill Latshaw |Brian Wood |Peter Marston |Leslie Rosenberg |David Tapper | +8 more
This IDC Market Perspective addresses the impacts of AI and GenAI on IDC's services markets, allowing service providers to understand the opportunities and challenges in delivering services in the current environment. "AI and generative AI will have different impacts on individual services markets, both adding spending for some services and reducing spending for others," said Gard Little, research vice president, Global Services Markets and Trends at IDC.
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Aug 29, 2024 | 
idc.com | Monika Soltysik |Christopher Kissel |Michelle Abraham |Frank Dickson |Craig Robinson |Jennifer Glenn | +1 more
target audience: TECH BUYER Publication date: Aug 2024 - Document type: IDC Perspective - Doc Document number: # US51829324 Content Table of Contents (14 pages) Get More When you purchase this document, the purchase price can be applied to the cost of an annual subscription, giving you access to more research for your investment.
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Aug 15, 2024 | 
idc.com | Christopher Kissel |Michelle Abraham |Frank Dickson |Cathy Huang |Craig Robinson |Jennifer Glenn | +1 more
target audience: TECH SUPPLIER Publication date: Aug 2024 - Document type: Market Perspective - Doc Document number: # US51850124 Content Table of Contents (12 pages) Get More When you purchase this document, the purchase price can be applied to the cost of an annual subscription, giving you access to more research for your investment.
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Jul 22, 2024 | 
idc.com | Cathy Huang |Craig Robinson |Scott Tiazkun
You need a subscription to access this IDC Link. Log in to see if you have access. For more information please or call one of our worldwide offices.
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Mar 31, 2024 | 
medium.com | Cathy Huang
According to CB Insights, over 77% of VC funding poured into the GAI infrastructure category in 2023 with the top deal — Microsoft’s $10B round to OpenAI in January 2023. The capital was attracted to developing further the foundational large language model, which is inherently capital-intensive. The topic in optimizing the methodology of developing foundational AI models is still heated.
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Mar 30, 2024 | 
medium.com | Cathy Huang
Having explored how different models learn parameters differently(here), we can now delve into selecting the most suitable model and the specific parameters it learns. This critical decision depends on several key factors: learning task, data characteristics, and desired model properties. Learning TaskThe type of learning task you aim to tackle significantly influences the choice of model.
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Mar 29, 2024 | 
medium.com | Cathy Huang
Let’s start by revisiting the fundamental concept. Parameters are variables that the model learns through training, adjusted to minimize the difference between the predicted output and the actual output in the training data. Include both weights and biases(or intercepts). Weightsa type of parameter that multiplies the input features in linear models, neural networks, and many other types of machine learning models.
