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Predictive Machine Learning Topic is Upcoming Workshop at CNY Biotech Accelerator

Bain Public

About CNY Biotech Accelerator Central New York Biotech Accelerator (CNYBAC) is an off-campus accelerator serving for-profit startup companies who are actively commercializing a biotech-related product or service. He is a pro in injecting strategies and tactics to monetize his client's businesses.

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Paul Ortchanian, Founder and CEO of Bain Public, will be a speaker at AI DevWorld 2022

Bain Public

AI Dev World is the world’s largest artificial intelligence event that targets AI developer professionals seeking to learn about the newest AI technologies, as well as software engineers and data scientists who are looking for an introduction into AI. Conference Information. Purchase your ticket to the event here !

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Product Managers Look For New Ways To Detect Counterfeits

The Accidental Product Manager

More and more the role of spotting counterfeits is being filled by artificial-intelligence algorithms that have studied every angle of tens of thousands of bags, shoes and other items that are often knocked off. Companies are developing machine-learning tools to help protect shoppers.

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Static vs Dynamic Alert Thresholds for Monitoring

eG Innovations

Microsoft Azure Monitor used with services such as AVD) will usually include options to use both static and dynamic thresholds and occasionally combine them. In a large enterprise, a monitoring tool that provides visibility into the different network, server, and application tiers can collect millions of metrics.

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End-to-End Monitoring of Citrix Infrastructures: FAQs

eG Innovations

link] covers most of the FAQs about our licensing policy. The concurrent user model works well for organizations with shift patterns, e.g. call centers. We can deploy eG Enterprise either way: on-premises or as a SaaS service. More details of our SaaS service for Citrix monitoring are available here.

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We Have To Support Every Line of Production Code Forever

Mironov Consulting

New financial regulations require additional reports using data items not currently in their market analysis app.   For our hypothetical data connector, we could make an automated test suite that feeds it sample data nightly, then automatically checks if the wrong answers pop out.  It Our LLM model data ages.  

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Tomorrow’s Product Managers Will Need Solid Data, Model and Problem Understanding

Bain Public

Tomorrow’s Product Managers Will Need Solid Data, Model, and Problem Understanding. When people talk about Product Management of the future, the first theme that comes to mind is artificial intelligence (AI). The reality is that we will need to evolve by finding ways to have a solid data set understanding.