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Agentic AI design: An architectural case study

CIO

Let’s review a case study and see how we can start to realize benefits now. Agentic AI design: A case study When you start doing agentic AI design you need to break down the tasks, identify the roles and map those to specific functionality that an agent will perform.

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Strategic warfare: How to hire and retain top analytics talent

TechCrunch

Chuck Soha , a managing director at StoneTurn , has over 15 years of professional experience in data analytics in a multitude of risk, litigation/dispute, compliance and assurance engagements. However, as an analytics professional grows both professionally and personally, that thumbprint can change over time.

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A Case Study on Building Modern Analytics Architectures That Scale

Datavail

This is especially important for companies that rely on analytics to drive business insights and executive decisions. Most likely, your company has shifted their approach to data and analytics. They decided it was time to build a modern analytics environment that could support their needs now and into the future. Learn More.

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Illumina Consulting Group (ICG) R&D Case Study Uses Streaming Analytics Platform LUX in Insider Threat Detection

CTOvision

Illumina Consulting Group (ICG) recently conducted an R&D Case Study using their streaming analytics platform, LUX, to process an Insider Threat dataset created by ExactData LLC and Carnegie Mellon University under DARPA sponsorship. The analytics detected a combined 1,371 anomalous activities in the data set.

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How Banks Are Winning with AI and Automated Machine Learning

Today, banks realize that data science can significantly speed up these decisions with accurate and targeted predictive analytics. In this white paper, we cover: The landscape of common AI use cases -- across every line of business and function in a bank. Simple rules for spotting high-value use cases within your own organization.

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Setting up high-conversion lead magnets that deliver value

TechCrunch

Driven by data analytics and growth hacking, she has crafted go-to-market strategies for global brands (ex-Uber) and tech startups alike. To help you visualize, scroll through Innovatrics’ “How a Liveness Detector Prevents Identity Theft case studies.” Aleksandra Korczynska. Contributor. Share on Twitter.

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Fetcher raises $6.5M to automate parts of the recruiting process

TechCrunch

For example, he sent me a case study in which Fetcher helped video collaboration startup Frame.io Blank said he’s planning to double the employee count (currently 80) by the end of the year and to build out additional analytics (including diversity analytics) and CRM tools.

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Are You Ready For Predictive Analytics?

Speaker: Anita Lauper Wood, Product Strategist

As a product or technology leader, you likely know there’s a tremendous value that can be gained from predictive analytics. That said, successful implementation of predictive analytics can feel unpredictable. How to de-risk predictive analytics such as how to avoid a lawsuit that might come out of bias in data and algorithms.

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Leading Advertising and Analytics Company Outperforms With a Graph Database

Download the case study to learn more! Xandr, a division of AT&T, has built an identity graph that connects information on people, households, and more. The company is using this graph to provide advertisers an ability to deliver commercials more successfully than ever before.

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How Banks Are Winning with AI and Automated Machine Learning

Today, banks realize that data science can significantly speed up these decisions with accurate and targeted predictive analytics. In this white paper, we cover: The landscape of common AI use cases -- across every line of business and function in a bank. Simple rules for spotting high-value use cases within your own organization.

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How to Develop a Recession-Proof Product-Led Strategy

Speaker: Wes Bush, Author of "Product-Led Growth"

In this webinar, product-led growth pioneer Wes Bush will examine what the top PLG companies have in common, take an in-depth look at features and usage analytics, and explain how to use this information as the primary driver for customer acquisition, retention, and expansion. The important aspects of a great product-led strategy.